Publications

Missy Cummings

2022

Shen, T., Cummings, M.L, "A Microsimulation Comparison For Lane-Merging Driver Behaviors," Proceedings of the Human Factors and Ergonomics Society Annual Meeting, in press. 

Cummings, M. L., Benac, D., Li, S., J. Harris, "Measuring Automation Benefits through Function Allocation Analysis," Human Factors in Manufacturing and Service Industries, 2022, 32, pp. 125–132, doi: 10.1002/hfm.20931. (Video) **Pfizer named this article one of their top twelve published journal articles in 2021. 

Li, S., M.L. Cummings, and B. Welton,  "Assessing the Impact of Autonomy and Overconfidence in UAV First-Person View Training," Applied Ergonomics, 2021, 98(2022), pp: 103580.

2021

Cummings, M.L., Nassar, H., & V. Alaparthy, “Defining the tradespace for passively defending against rogue drones,” 2021, Journal of Intelligent & Robotic Systems, 103:69, doi: 10.1007/s10846-021-01524-w.

Cummings, M.L, Li, S., & H. Zhu, "Modeling Operator Self-Assessment in Human-Autonomy Teaming Settings," International Journal of Human-Computer Studies, in press. 

Bardaka, E., Frey, C., Hajbabaie , A., List, G., Rouphail, N., Williams, B., Cummings, M., Hasnat, M., Samandar, S., Sharma, S, Das, T., Tajalli, M., & W. Yuan, “Impacts of Autonomous Vehicle Technology on Transportation Systems,” North Carolina Department of Transportation, Report # 2019-11.

Cummings, M.L. & B. Bauchwitz, “Safety Implications of Vriability in Autonomous Driving Assist Performance,” IEEE Intelligent Transportation Systems, 2021, pp. 1-11, 10.1109/TITS.2021.3109555

Zhu, H., "Development and Comparison of Operator Strategy Models" Ph.D. Dissertation, Duke University, Department of Electrical and Computer Engineering.    

Cummings, M., Morgansen, K., Argrow, B., & S. Singh, “Transforming Aerospace Autonomy Education and Research” IEEE Aerospace 2021, Big Sky Montana.

Alaparthy, V., Mandal, S., Cummings, M, “Machine Learning vs. Human Performance in the Real-time Acoustic Detection of Drones” IEEE Aerospace 2021, Big Sky Montana.

Bauchwitz, B. and M.L.Cummings, "Individual Vehicle Differences Dominate Variation in ADAS Takeover Alert Behavior" Transportation Research Board, in review. 

2020

Bauchwitz, B. and M.L.Cummings, " Evaluating the Reliability of Tesla Model 3 Driver Assist Functions" CSCRS draft report, October 1st, 2020.

Cummings, M.L., & D.Britton, "Regulating Safety-Critical Autonomous Systems: Past, Present and Future Perspectives," Living with Robots: Emerging Issues on the Psychological and Societal Implications of Robotics, pp.119-140.

Cummings, M.L., & S. Li, (2020) "Subjectivity in the Creation of Machine Learning Models," Journal of Data and Information Quality, in press.

Solovey, E., Jackson, K., & Cummings, M.L., "CODA: Mobile Interface for Enabling Safer Navigation of Unmanned Aerial Vehicles in Real-World Settings," International Journal of Human-Computer Studies, 2021, 145, pp. 102508.

Huang, L., Cummings, M.L., & Ono, M., "A Mixed Analysis of Influencing Factors for Trust in a Risk-Aware Autonomy Experiment," In Proceedings of the International Human Factors and Ergonomics Society Annual Meeting, in press.

Zhu, H., Xu, R., & Cummings, M. L., "Quantitative Operator Strategy Comparisons across Human Supervisory Control Scenarios," In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE.

Cummings, M.L., S. Li, D. Seth, & M. Seong (2020) "Concepts of Operations for Autonomous Vehicle Dispatch Operations," HAL2020-01, Duke University.

Cummings, M.L, "Rethinking the maturity of artificial intelligence in safety-critical settings," AI Magazine, in press.

Mandal,S., Chen,L., Alaparthy,V., & Cummings,M.L., “Acoustic Detection of Drones through Real-time Audio Attribute Prediction,” AIAA SciTech, Orlando FL, 2020.

Cummings, M., Huang, L., & Ono, M. "Investigation of Controllability and Observability in Risk -Aware Autonomy," Trust in Human-Robot Interaction: Research and applications, Ed.J.Lyons & C.S.Nam, in press.

Li, S., Seth, D, and Cummings M.L., “Traffic Efficiency and Safety Impacts of Autonomous Vehicle Aggressiveness,” 2020 99th Annual Transportation Research Board Meeting, Washington, D.C., January 2020.

Cummings, M.L., “Factors that Influence the Acceptance of New Aerospace Risk Assessment Techniques,” AIAA SciTech, Orlando FL, 2020.

2019

Cummings, M., & S. Li, (2019) "Machine Learning Tools for Informing Transportation Technology and Policy,” HAL2019-02. Two data sets were used for this analysis: 1) Highway Safety Information System (HSIS) and 2) National Automotive Sampling System (NASS). 

Huang, L., Nneji, V. C., & Cummings, M. L., (2019). "How airline dispatchers manage flights: A task analysis in distributed and heterogeneous network operations". In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (pp. 1389-1393). Sage CA: Los Angeles, CA: SAGE Publications.

Zhu, H., and Cummings, M. L., "The Stability of Human Supervisory Control Operator Behavioral Models Using Hidden Markov Models", 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Nneji, V.C. (2019) "A Workload Model for Designing & Staffing Future Transportation Network Operations“ Ph. D. Thesis, Duke Dept. of Mechanical Engineering and Materials Science, Durham, NC.

Cummings, M.L., "Global order and the (mis)perception of powerful AI," 2019 Global Order Colloquium, University of Pennsylvania.

Cummings, M.L., Huang. L., Zhu, H., Finkelstein, D., and R. Wei, “The Impact of Increasing Autonomy on Training Requirements in a UAV Supervisory Control Task,” Journal of Cognitive Engineering and Decision Making, 2019, 13 (4), pp. 295-309.

Zhou, J., Zhu, H., Kim, M, and Cummings, M. L., "The impact of different levels of autonomy and training on operators’ drone control strategies." ACM Transactions on Human Robot Interaction, in press.

Wang, C., & Cummings, M. L., "A Mobile Alerting Interface for Drone and Human Contraband Drops", American Institute of Aeronautics and Astronautics (AIAA) Aviation and Aeronautics Forum and Exposition 2019

Welton, B., “Modeling Human-Autonomy Interaction of Drone Pilots in Disaster Environments”, B.S Thesis (2019), Department of Electrical and Computer Engineering, Duke University

Zhou, S., "Developing an HRI Graduate Course Project on Usability Testing Using the Baxter Robot", B.S Thesis (2019), Department of Computer Science, Duke University

Cummings, M. L., Huang L., & Clamann M., "Development and Evaluation of Vehicle to Pedestrian (V2P) Safety Interventions", HAL2019-01

Brummel, E. S., Ostdiek, P., Woerner, D., Hibbard, K., Stofan, E., Zakrajsek, J., & Cummings, M. L., "Identifying and Mitigating Barriers to the Adoption of Dynamic Radioisotope Power System for Space Flight," IEEE AerConf, 2019.

Elfar, M., Zhu, H., Cummings, M. L., & Pajic, M. Security-Aware Synthesis of Human-UAV Protocols, 2019 IEEE International Conference on Robotics and Automation (ICRA 2019)

Buckland, D. M., Cummings, M. L., Mark, D. B., Banerjee, A. G., Snyder, K., & Starks, M., A., "Design Considerations for UAV-Delivered Opioid Overdose Interventions,"  IEEE AerConf, 2019.

Cummings, M.L., "Lethal Autonomous Weapons: Meaningful human control or meaningful human certification?”, in press, IEEE Technology & Society.

Nneji, V. C., Cummings, M. L., & Stimpson, A. (in press). "Predicting Locomotive Crew Performance in Rail Operations with Human and Automation Assistance," IEEE Transactions on Human-Machine Systems.

2018

Zhu, H., Cummings, M. L., Elfar, M., Wang, Z., & Pajic, M. Operator Strategy Model Development in UAV Hacking Detection, IEEE Transactions on Human-Machine Systems, 2018

Kim, M. "The impact of skill-based training across different levels of autonomy for drone inspection tasks," Duke University, Computer Science Master's of Science, 2018.

Cummings, M.L. & A. Stimpson, “Identifying Critical Contextual Design Cues Through a Machine Learning Approach,” AAAI AI Magazine Special Issue on Computational Context, Eds: Lawless, W. & D. Sofge, in press 

Cummings, M.L., "Determining UAV/UGV Training Effectiveness as Autonomy Increases Final Report,” HAL2017-01, Durham NC, 2018.

Hutchins, A., Clamann, M., Furth, J. & M.L. Cummings, "Determining UAV/UGV Training Effectiveness as Autonomy Increases Interim Report #1,” HAL2016-01, Durham NC, 2016.

Huang, L., Cummings, M., & Nneji, V. "Preliminary Analysis and Simulation of Railroad Dispatcher Workload." Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 62, 1: pp. 691-695. First Published September 27, 2018. [Best Paper Award in Human Performance Modeling]

Zhu, H., Elfar, M., Pajic, M., Wang, Z., & Cummings, M. L. (2018, July). Human Augmentation of UAV Cyber-Attack Detection. In International Conference on Augmented Cognition (pp. 154-167). Springer, Cham.

Cummings, M.L., “Adaptation of Licensing Examinations to the Certification of Autonomous Systems," Safe, Autonomous and Intelligent Vehicles, Eds: Li,X.,Murray, R., Tomlin, C.J., Yu, H., Unmanned System Technologies series, Springer, in press.

Stimpson, A., Islam, R., Cummings, M., & J. Poulsen, “Understanding How Drone Noise May Affect Wildlife Studies”, Unmanned Systems, January-February 2018, p. 20-21. 

Nneji, V.C., Cummings, M.L., Stimpson, A. & K.H. Goodrich, "Functional Requirements for Remotely Managing Fleets of On-Demand Passenger Aircraft," AIAA SciTech, Kissimmee FL, 2018.

Cummings, M.L. & P. Quimby, “The Power of Collective Intelligence in a Signal Detection Task," Theoretical Issues in Ergonomic Science (2018) 19(30), 375-388.

2017

Mark, D.B., Hansen, S.M., Starks, M.L., & M.L. Cummings, “Drone-Based Automatic External Defibrillators for Sudden Death? Do We Need More Courage or More Serenity?” editorial for Circulation, 2017, 135, 2466-2469

Cummings, M.L., “Informing Autonomous System Design Through the Lens of Skill-, Rule, and Knowledge-Based Behaviors”, Journal of Cognitive Engineering and Decision Making, October 2017 

Britton, D.P, Cummings, M.L.,Codd, P, & M. Waitzkin, “A Systems Engineering Approach to Regulating Autonomous Systems”, M.S Thesis (2017), Department of Mechanical Engineering and Materials Science, Duke University

Nneji, V., Stimpson, A., Cummings, M.L. & K. Goodrich, “Exploring Concepts of Operations for On-Demand Passenger Air Transportation,” AIAA Aviation, Denver CO, 2017

Islam, R., Stimpson, A., & M.L. Cummings, "Small UAV Noise Analysis," HAL2017-01, Duke University, 2017

Cummings, M.L., "The Brave New World of Driverless Cars,: The Need for Interdisciplinary Researchnand Workforce Development", TR News, March-April 2017, p. 34-37

Nneji, V.C., "No Armed Drones Act of 2017 (HR 129, 115th Congress), A Science Policy Development Brief" on Duke SciPol, February 2017

Solovey, E.T, Powale, P., and Cummings, M.L. "A field study of multimodal alerts for an autonomous threat detection system," HCII 2017, Vancouver, CA

Cummings, M.L., "Artificial Intelligence and the Future of Warfare", International Security Department and US and the Americas Programme, Chatham House, January 2017

Stimpson, A.J., Tucker, M.B., Masahiro, O., Steffy, A. & Cummings, M.L. Modeling Risk Perceptions for Mars Rover Supervisory Control: Before and After Wheel Damage. IEEE Areospace Paper 2017

Clamann, M., Aubert, M., & Cummings, M.L. Evaluation of Vehicle-to-Pedestrian Communication Displays for Autonomous Vehicles, 2017 96th Annual Transportation Research Board Meeting, Washington, D.C., January 8-12

2016

Hutchins A., Islam, R., Zhu, E., Cummings, M. & J. Poulsen, (2016) “Developing a Quadcopter and Infrared Camera System to Monitor and Track the African Forest Elephant (Loxodonta Cyclotis)" HAL2016-02.

Stimpson, A.J., Ryan, J.C., & Cummings, M.L. Assessing Pilot Workload in Single-Pilot Operations with Advanced Autonomy. Proceedings of HFES 2016: 60th Annual Meeting of the Human Factors and Ergonomics Society. ACCEPTED.

Lagrew, D. Real Time Workload Detection in Supervisory Control Applications Using fNIRS, B.S. Thesis, Humans and Autonomy Laboratory, Department of Neuroscience, Duke University.

Fei, G. Modeling Human Attention and Performance in Automated Environments with Low Task Loading, Ph.D. Thesis (2016), Humans and Automation Laboratory, Engineering Systems Division, Massachusetts Institute of Technology.

Ross, W. Investigating the Tradespace between Increased Automation and Optimal Manning on Aircraft Carrier Decks, M.S. Thesis (2016), Humans and Autonomy Laboratory, Department of Mechanical Enginering and Materials Science, Duke University.

Gao, F., Cummings, M.L., & E. Solovey, ³Modeling Teamwork in Supervisory Control of Multiple Robots,² IEEE SMC Part A: Humans and Machines (2014), 44(4): 441-453.²

Simshaw, D., Terry, N., Hauser, K., & Cummings M.L., ³Regulating Healthcare Robots: Maximizing Opportunities While Minimizing Risks², (2016) 22(3) Richmond Journal of Law & Technology.

Aubert, M.C., Ross, W., Mazzari, S., Stimpson, A. & Cummings, M.L., "Interaction Design Considerations for an Aircraft Carrier Deck Agent-based Simulation" 2016 IEEE Aerospace Conference, Big Sky, MT, March 5-12.

Tucker, M., Aubert, M.C., Sampaio, V., Clamann, M. & Cummings, M.L., "Detection of Attentional State in Long-Distance Driving Settings Using Functional Near-Infrared Spectroscopy." 2016 95th Annual Transportation Research Board Meeting, Washington, D.C., January 10-14.

Cummings, M.L., Stimpson, A. & Clamann, M., "Functional Requirements for Onboard Intelligent Automation in Single Pilot Operations." 2016 AIAA SciTech Conference, San Diego, CA, January 4-8.

2015

Clare, A.S., Cummings, M.L., Repenning, N.P. (Nov. 2015). "Influencing Trust for Human-Automation Collaborative Scheduling of Multiple Unmanned Vehicles." Human Factors: The Journal of the Human Factors and Ergonomics Society, col.57, no. 7, pgs. 1208-1218

Boyer, M., Cummings, M., Spence, L., & E. Solovey, Investigating Mental Workload Changes in a Long Duration Supervisory Control Task, Interacting with Computers (2015) 27, 512-520.

Ryan, J. & M.L. Cummings, Effects of Safety Protocols on Unmanned Vehicle Ground Operation, AIAA Journal of Aerospace Information Systems Special Issue on Aerospace Human-Automation Interaction (2015) 12, 431-440.

Cummings, M.L. & Gao, F., "Boredom in the Workplace: A New Look at an Old Problem." Human Factors, in press.

Hutchins, A.R., Cummings, M.L., Draper, M. & Hughes, T., "Representing Autonomous Systems' Self-Confidence through Competency Boundaries ." Proceedings of HFES 2015: 59th Annual Meeting of the Human Factors and Ergonomics Society, Los Angeles, CA, October 26-30.

Gao, F., Cummings, M.L. & Solovey, E., "Designing for Robust and Effective Teamwork in Human-Agent Teams." The Intersection of Robust Intelligence (RI) and Trust in Autonomous Systems, Ed.: W. Lawless, Springer, in press.

Cummings, M.L. & Clare, A.S., "Holistic Modeling for Human-Autonomous System Interaction." Theoretical Issues in Ergonomics Science, in press.

Cummings, M.L., "Operator Interaction with Centralized Versus Decentralized UAV Architectures." Handbook of Unmanned Aerial Vehicles, Eds: Valavanis, K.P. & Vachtsevanos, G.J., (2015) Springer, p. 977-992.

Aubert, M.C., Uzumcu, S., Hutchins, A.R. & Cummings, M.L., "Toward the Development of a Low-Altitude Air Traffic Control Paradigm for Networks of Small, Autonomous Unmanned Vehicles." 2015 AIAA SciTech Conference, Kissimmee, FL, January 5-9.

2014

Cummings, M.L., "Man vs. Machine or Man + Machine?" IEEE Intelligent Systems, (2014) 29(5), p. 62-69.

Ryan, J.C. & Cummings, M.L., " A Systems Analysis of the Introduction of Unmanned Aircraft into Aircraft Carrier Operations ." IEEE Transactions on Human-Machine Systems , (2014) 99(1), pp. 1-12.

Ryan, J. C., & Cummings, M. L., "Development of an Agent-Based Model for Aircraft Carrier Flight Deck Operations." Modeling and & Simulation Journal, Spring (2014) p. 5-15.

Gao, F., Cummings, M.L., & E. Solovey, “Modeling Teamwork in Supervisory Control of Multiple Robots.” IEEE SMC Part A: Humans and Machines, in press.

Cummings, M.L., Bertucelli, L., Macbeth, J. & A. Surana, “Task Versus Vehicle-Based Control Paradigms in Multiple Unmanned Vehicle Supervision by a Single Operator.” IEEE SMC Part A:Humans and Machines, (2014) 44(3), p. 353-361.

Stimpson, A. & M. Cummings, “Assessing Intervention Timing in Computer-Based Education Using Machine Learning Algorithms.” IEEE Access, (2014) 2, p. 78-87.

Cummings, M.L., & J. C Ryan, “Who Is in Charge? Promises and Pitfalls of Driverless Cars.” TR News, (May-June 2014) 292, p. 25-30.

Gao, F., & M.L. Cummings, “Barriers to Robust and Effective Human-Agent Teamwork.” AAAI 2014 Spring Symposium, Mountain View, CA.

MIT HAL-HUMANS AND AUTOMATION LAB

Journal Articles

Cummings, M.L, Bruni, S. & P.M.Mitchell, "Human Supervisory Control Challenges in Network Centric Operations," Reviews of Human factors and Ergonomics, Ed:D.H.Harris, Vol.6,2010, p.34-78.

Cummings, M.L. & J.C. Ryan, Shared Authority Concerns in Automated Driving Applications, Humans and Automation Laboratory Working Paper.

Clare, A.S., Cummings, M.L., How, J., Whitten, A., and Toupet ,O., Operator Objective Function Guidance for a Real-time Unmanned Vehicle Scheduling Algorithm , AIAA Journal of Aerospace Computing, Information and Communication, Vol. 9, No.4, pp. 161-173, 2012.

Spinetta, L., Cummings, M.L., Unloved Aerial Vehicles: Gutting its UAV plan, the Air Force sets a course for irrelevance , Armed Forces Journal, p. 8, Nov. 2012.

Cummings, M.L., Mastracchio, C., Thornburg, K.M., Mkrtchyan, A.,. Boredom and Distraction in Multiple Unmanned Vehicle Supervisory Control , Interacting with Computers, Vol. 25, No. 1, pp. 34-47, 2013.

Cummings, M.L., Jackson,K., Quimby, P., & D. Pitman, Field Testing of a Quad Rotor Smartphone Control System , International Journal of Micro Air Vehicles, Vol. 4, No. 3, pp. 165-177, 2012.

Clare, A.S., Maere, P.C.P., and Cummings, M.L., Assessing Operator Strategies for Real-time Replanning of Multiple Unmanned Vehicles , Intelligent Decision Technologies, Vol. 6, No. 3, pp. 221-231, 2012.

Pitman, D.J., Cummings,M.L., Collaborative Exploration with a Micro Aerial Vehicle: A Novel Interaction Method for Controlling a MAV with a Hand-Held Device , Advances in Human-Computer Interaction, vol. 2012, Article ID 768180, 15 pages, 2012.
doi:10.1155/2012/768180.

Cummings, M.L., How, J., Whitten, A., and Toupet ,O. ,The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control , Proceedings of the IEEE, Vol. 100, No.3 pp. 660-671, 2012.

Cummings, M.L., Marquez, J.J., & N. Roy, Human-Automation Path Planning Optimization and Decision Support, International Journal of Human Computer Studies, Vol. 70, pp. 116–128, 2011.

Boussemart Y., Cummings M. L., Predictive models of human supervisory control behavioral patterns using hidden semi-Markov models , Engineering Applications of Artificial Intelligence, ISSN 0952-1976, DOI: 10.1016/j.engappai.2011.04.008, (In Press).

Bertuccelli, L. F., and M. L. Cummings, Operator Choice Modeling for UAV Visual Search Tasks ,IEEE Transaction on Systems, Man, and Cybernetics, Part A: Systems and Humans vol :42 , Issue 5, pp. 1088-1099, Sept. 2012.

Boussemart, Y., Cummings, M.L., Las Fargeas, J., Roy, N., Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings , Journal of Aerospace Computing, Information, and Communication (1542-9423) vol. 8 no. 3, pg 71-85, 2011.

Cummings, M.L., & S. Bruni, Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems , International Journal of Intelligent Decision Technologies, (2010) Vol. 4(2), p. 101-114.

Donmez, B.D., Nehme, C., & M.L. Cummings, Modeling Workload Impact in Multiple Unmanned Vehicle Supervisory Control , IEEE Systems, Man, and Cybernetics, Part A Systems and Humans, Vol. 40, Issue 6, p. 1180-1190, 2010.

Cummings, M.L., Buchin, M., Carrigan, G., & B. Donmez, Supporting Intelligent and Trustworthy Maritime Path Planning Decisions , International Journal of Human Computer Studies, Vol. 68(10), p. 616-626, 2010.

Cummings, M.L., Brezezinski, A., Global vs. local decision support for multiple independent UAV schedule management , International Journal of Applied Decision Sciences - Vol. 3, No.3 pp. 188 - 205, 2010.

Cummings, M. L., Clare, A. S., Hart, C. S. The Role of Human-Automation Consensus in Multiple Unmanned Vehicle Scheduling . Human Factors: The Journal of the Human Factors and Ergonomics, Vol. 52, No. 1, pp. 17-27, 2010.

Cummings, M.L. & K.T. Thornburg, Paying Attention to the Man Behind the Curtain , IEEE Pervasive Computing, in press.

Donmez, B., Cummings, M. L., Graham, H. D.. Auditory Decision Aiding in Supervisory Control of Multiple Unmanned Aerial Vehicles . Human Factors: The Journal of the Human Factors and Ergonomics, 51(5),718-729, 2009.

Nehme, C. E., Mekdeci, B., Crandall, J. W., Cummings, M. L. The Impact of Heterogeneity on Operator Performance in Future Unmanned Vehicle Systems , The International Command and Control Journal, Vol. 2(2), 2008.

Cummings, M.L., & Mitchell P.J., Predicting Controller Capacity in Remote Supervision of Multiple Unmanned Vehicles , IEEE Systems, Man, and Cybernetics,Part A Systems and Humans, 38(2), p. 451-460, 2008.

Marquez, J.J., & Cummings, M.L., "Design and Evaluation of Path Planning Decision Support for Planetary Surface Exploration ", AIAA Journal of Aerospace Computing, Information, and Communication, 5(3), p. 57-71, 2008.

Cummings, M.L., Tsonis, C., & A. Rader, The Impact of Multi-layered Data-blocks on Controller Performance , Air Traffic Control Quarterly, 16(2), 2008.

Sim, L., Cummings, M.L., & Smith, C.A., Past, Present And Future Implications Of Human Supervisory Control In Space Missions , Acta Astronautica 62 648 – 655, 2008.

Smith, C.A., Cummings, M.L., & Sim, L., Developing Lunar Landing Vehicle Display Requirements through Content Analysis of Apollo Lunar Landing Voice Communications , International Journal of Aviation Psychology, Vol. 18,issue 3, p. 237-254, 2008.

Cummings, M.L., Bruni, S., Mercier, S., & Mitchell P.J. Automation Architecture for Single Operator, Multiple UAV Command and Control , The International Command and Control Journal, Vol. 1(2), 2007.

Crandall, J.W., & Cummings, M.L., Identifying Predictive Metrics for Supervisory Control of Multiple Robots, IEEE Transactions on Robotics – Special Issue on Human-Robot Interaction , Vol. 23, issue 5, p. 942-951, 2007.

Cummings, M.L, Brzezinski, A.S., & Lee, J.D., The Impact of Intelligent Aiding for Multiple Unmanned Aerial Vehicle Schedule Management , IEEE Intelligent Systems: Special issue on Interacting with Autonomy, Vol. 22(2) p.52-59, 2007.

Cummings, M.L., Kilgore, R.M., Wang, E., Tijerina, L., & Kochhar, D.S., Effects of Single versus Multiple Warnings on Driver Performance , Human Factors, 46(6), p. 1097-1106, 2007.

Cummings, M.L., & Mitchell, P.J., Operator Scheduling Strategies in Supervisory Control of Multiple UAVs , Aerospace Science and Technology, Vol. 11, p. 339–348, 2007.

Cummings, M.L., & Mitchell, P.J., “Automated Scheduling Decision Support for Supervisory Control of Multiple UAVs, AIAA Journal of Aerospace Computing, Information, and Communication, Vol. 3(6), p. 294-308, 2006.

Cummings, M.L., Automation and Accountability in Decision Support System Interface Design , Journal of Technology Studies Vol 32(1), p. 23-31, 2006.

Cummings, M. L., & Tsonis, C., Partitioning Complexity in Air Traffic Management Tasks , International Journal of Aviation Psychology, Vol. 16, No. 3, Pages 277-295, 2006.

Cummings, M.L., The Need for Command and Control Instant Message Adaptive Interfaces: Lessons Learned from Tactical Tomahawk Human-in-the-Loop Simulations published by invitation in CyberPsychology and Behavior Vol. 7(6), 2004.

Conference Papers

2013

Ryan, J.C., Banerjee, A.G, Cummings, M.L, and Roy, N., Comparing the Performance of Expert User Heuristics and an Integer Linear Program in Aircraft Carrier Deck Operations , Cybernetics, IEEE Transactions on , vol.PP, no.9, Aug. 2013.
doi: 10.1109/TCYB.2013.2271694

Berardi, C., Solovey, E.T., Cummings, M.L. Investigating the Efficacy of Network Visualizations for Intelligence Tasks , In Proceedings of IEEE International Conference on Intelligence and Security Informatics (ISI), Seattle, WA, June 4-7, 2013.

Gao, F., Clare, A. S., Macbeth, J. C., and Cummings, M. L., Modeling the Impact of Operator Trust on Performance in Multiple Robot Control , AAAI Spring Symposium: Trust and Autonomous Systems, Stanford, CA, Mar 25-27, 2013.

Gao, F, Modeling teamwork of multi-human multi-agent teams , In Proceedings of the 2013 conference on Computer supported cooperative work companion, pp. 47-50, San Antonio, Texas,February, 2013.

2012

Gao, F., Cummings, M.L., Using Discrete Event Simulation to Model Multi-Robot Multi-Operator Teamwork , In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, SAGE Publication, .Vol. 56, No. 1, pp. 2093-209, Boston, MA, October, 2012.

Clare, A.S., Ryan, J.C., Jackson, K.F., Cummings, M.L.,  Innovative Systems for Human Supervisory Control of Unmanned Vehicles , Proceedings of HFES 2012: 56th Annual Meeting of the Human Factors and Ergonomics Society, Boston, MA, October, 2012.

Mkrtchyan, A.A., Macbeth, J.C., Solovey, E.T., Ryan, J.C., Cummings, M.L., Using Variable-Rate Alerting to Counter Boredom in Human Supervisory Control , Proceedings of HFES 2012: 56th Annual Meeting of the Human Factors and Ergonomics Society, Boston, MA, October, 2012.

Thornburg, K.M., Peterse, H.P.M., Liu, A.M., Operator Performance in Long Duration Control Operations: Switching from Low to High Task Load , Proceedings of HFES 2012: 56th Annual Meeting of the Human Factors and Ergonomics Society, Boston, MA, October, 2012.

Stimpson, A.J., Buinhas, L.S., Bezek, S., Boussemart, Y, Cummings, M.L,. A Model-Based Measure to Assess Operator Adherence to Procedure , Proceedings of HFES 2012: 56th Annual Meeting of the Human Factors and Ergonomics Society, Boston, MA, October, 2012.

Macbeth, J.C., Cummings, M.L., Bertuccelli, L.F., Surana, A., Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis , Proceedings of HFES 2012: 56th Annual Meeting of the Human Factors and Ergonomics Society, Boston, MA, October, 2012.

Fei Gao, Missy L. Cummings, and Luca F. Bertuccelli. 2012. Teamwork in controlling multiple robots . In Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction (HRI '12), ACM, New York, NY, USA, 81-8, 2012.
DOI=10.1145/2157689.2157703

Cummings, M.L., Tappan, J., and C. Mikkelsen, One Work Analysis, Two Domains: A Display Information Requirements Case Study , 56th Annual Meeting of the Human Factors and Ergonomic Society, Boston, MA, 2012.

Clare, A. S., Macbeth, J. C., and Cummings, M. L., Mixed-Initiative Strategies for Real-time Scheduling of Multiple Unmanned Vehicles , American Control Conference, Montreal, Canada, 2012.

Clare, A. S., Cummings, M. L., and Bertuccelli, L., Identifying Suitable Algorithms for Human-Computer Collaborative Scheduling of Multiple Unmanned Vehicles, AIAA Aerospace Sciences Meeting, Nashville, TN, 2012.

2011

Ryan, J. C., Investigating Possible Effects of UAVs on Aircraft Carrier Deck Crew Workload and Safety , presented at the Human Systems Integration Symposium, Vienna, VA, Nov. 2011.

Tappan, J., Cummings, M. L., Mikkelsen, C., Driediger, K., Mobile Application for Utility Domains , 13th International Conference on Human-Computer Interaction with Mobile Devices and Services, Stockholm, Sweden, September, 2011.

Clare, A.S. and Cummings, M.L., Task-Based Interfaces for Decentralized Multiple Unmanned Vehicle Control , Proceedings of AUVSI 2011: Unmanned Systems North America, Washington D.C., August 2011.

Tappan, J.M., Pitman, D.J., Cummings, M.L., Miglianico, D., Display Requirements for an Interactive Rail Scheduling Display , HCI International Conference, Orlando, FL, USA, July 2011.

Ryan, J.C., Cummings, M.L., Roy, N., Banerjee, A. and Schulte, A.S. Designing an Interactive Local and Global Decision Support System for Aircraft Carrier Deck Scheduling , AIAA Infotech@Aerospace 2011, St. Louis, MO, March 2011.

Habib, M., Quimby, P., Jackson, K., Chang, S., & M. L. Cummings, Wind Gust Alerting for Supervisory Control of a Micro Aerial Vehicle , IEEE Aerospace Conference, Big Sky, Montana, March 2011.

2010

Sasangohar, F., Thornburg, K., Cummings, M.L., D’Agostino, A., Xing, J., Mapping Complexity in Nuclear Power Plant Domains . In Proceedings of Human Factors and Ergonomics Society’s 54th Annual Meeting, System Development, San Francisco, CA, September 27-October 1, 2010.

Bertuccelli, L., Beckers, N. & Cummings, M. L. Developing Operator Models for UAV Search Scheduling , AIAA Guidance Navigation, and Control Conference, Toronto, Canada, Aug, 2010.

Maere, P. C., Clare, A. S., Cummings, M. L., Assessing Operator Strategies for Adjusting Replan Alerts in Controlling Multiple Unmanned Vehicles , 11th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, Valenciennes, France, Aug. 2010.

Bertuccelli, L., Pellegrino, N. & Cummings, M. L. Choice Modeling of Relook Tasks for UAV Search Missions , IEEE American Control Conference, Baltimore, MD, June 2010.

Castonia, R., Boussemart, Y., & Cummings, M. L., The Design of a HSMM-Based Operator State Monitoring Display , AIAA Infotech@Aerospace'10 Conference, Atlanta, Georgia, April 20-22, 2010.

Clare, A. S., Hart, C. S., Cummings, M. L., Assessing Operator Workload and Performance in Expeditionary Multiple Unmanned Vehicle Control, 48th AIAA Aerospace Sciences Meeting, Orlando, FL, Jan. 2010.

2009

Mekdeci, B., and Cummings, M. L. (2009). Modeling Multiple Human Operators in the Supervisory Control of Heterogeneous Unmanned Vehicles , 9th Conference on Performance Metrics for Intelligent Systems (PerMIS'09), Gaithersburg, MD, September 21-23, 2009.

Boussemart, Y., Donmez, B., Cummings, M. L., & Las Fargeas, J., Effects of Time Pressure on the Use of an Automated Decision Support System for Strike Planning, 15th International Symposium on Aviation Psychology (ISAP'09), Dayton, Ohio, April 27-30, 2009.

Boussemart, Y., Las Fargeas, J., Cummings, M. L., & Roy, N., Comparing Learning Techniques for Hidden Markov Models of Human Supervisory Control Behavior, AIAA Infotech@Aerospace'09 Conference, Seattle, Washington. (Student Paper Competition Finalist), April 6 - 9, 2009.

Spence, L.B., Rathje, J., Cummings, M.L., A Comparative Analysis of Human and Algorithm Track Smoothing . In Proceedings of HSIS 2009: Human Systems Integration Symposium, Annapolis, MD, March 17-19, 2009.

Cummings, M.L., and C.E. Nehme, Modeling the Impact of Workload in Network Centric Supervisory Control Settings , 2nd Annual Sustaining Performance Under Stress Symposium, College Park, MD, February 25, 2009.

Scott, S.D., Sasangohar, F., Cummings, M.L., Investigating Supervisory-level Activity Awareness Displays for Command and Control Operations . In Proceedings of HSIS 2009: Human Systems Integration Symposium, Annapolis, MD, March 17-19, 2009.

Cummings, M.L., & S. Bruni, "Collaborative Human Computer Decision Making", Handbook of Automation LXXVI, Ed: S. Y. Nof, Springer, 2009, p. 437-448”

2008

Boussemart, Y., & Cummings, M.L. Behavioral Recognition and Prediction of an Operator Supervising Multiple Heterogeneous Unmanned Vehicles , Humans Operating Unmanned Systems ’08, , Brest, France, September, 2008.

Nehme, C.E., Kilgore, R.M., Cummings, M.L., Predicting the Impact of Heterogeneity on Unmanned-Vehicle Team Performance , Proceedings of HFES 2008: 52nd Annual Meeting of the Human Factors and Ergonomic Society, New York, NY. September, 2008.

Donmez, B., Pina, P. E., & Cummings, M. L. Evaluation criteria for human-automation performance metrics , In Proceedings of the Performance Metrics for Intelligent Systems Workshop, Gaithersburg, MD, Aug, 2008.

Scott, S.D., Wan, J., Sasangohar, F., Cummings, M.L. Mitigating Supervisory-level Interruptions in Mission Control Operations . In Proceedings of 2nd Int’l Conference on Applied Human Factors and Ergonomics, Las Vegas, NV, July, 2008.

Cummings, M.L., Pina, P., and J.W. Crandall, A Metric Taxonomy for Human Supervisory Control of Unmanned Vehicles , Association for Unmanned Vehicle Systems International, San Diego, June 2008.

Carrigan, G.P., Long, D., Cummings, M.L., Duffner, J. Human Factors Analysis of Predator B Crash , Proceedings of AUVSI 2008: Unmanned Systems North America, San Diego, CA, June, 2008.

Nehme, C. E., Crandall, J. W., Cummings, M. L., Using Discrete-Event Simulation to Model Situational Awareness of Unmanned-Vehicle Operators , Virginia Modeling, Analysis and Simulation Center Capstone Conference, Norfolk, VA, April, 2008.

P.E. Pina, M. L. Cummings, J. W. Crandall and M. Della Penna. Identifying Generalizable Metric Classes to Evaluate Human-Robot Teams , Metrics for Human-Robot Interaction Workshop at the 3rd Annual Conference on Human-Robot Interaction, Amsterdam, The Netherlands, March, 2008.

2007

Graham, H., G. Coppin, and M.L. Cummings, The PR Matrix: Extracting Expert Knowledge For Aiding in C2 Sense & Decision Making , 12th International Command and Control Research and Technology Symposium, Newport, RI, Nov., 2007.

M. Ashdown and M. L. Cummings, Asymmetric Synchronous Collaboration Within Distributed Teams , 7th International Conference on Engineering Psychology and Cognitive Ergonomics, Beijing, China, July 2007.

S. Bruni, J.J. Marquez, A. Brzezinski, C. Nehme and Y. Boussemart (2007). Introducing a Human-Automation Collaboration Taxonomy (HACT) in Command and Control Decision-Support Systems , Accepted, 12th International Command and Control Research and Technology Symposium, Newport, RI, June, 2007.

Nehme, C., J.W. Crandall, and M.L. Cummings. An Operator Function Taxonomy for Unmanned Aerial Vehicle Missions , 12th International Command and Control Research and Technology Symposium, Newport, RI, June, 2007

Kilgore, R. M., Harper, K. A., Nehme, C. E., and Cummings, M. L., Mission Planning and Monitoring for Heterogeneous Unmanned Vehicle Teams: A Human-Centered Perspective , Paper presented at AIAA Infotech@Aerospace Conference in Sonoma, CA., May, 2007.

Brzezinski, A.S., Seybold, A.L., & Cummings, M.L. Decision Support Visualizations for Schedule Management of Multiple Unmanned Aerial Vehicles , presented at the AIAA InfoTech@Aerospace, Rohnert Park, CA, May, 2007.

Crandall, J. W. and M. L. Cummings. Attention Allocation Efficiency in Human-UV Teams , AIAA Infotech@Aerospace Conference, Rohnert Park, CA, May, 2007

J. W. Crandall and M. L. Cummings. Developing Performance Metrics for the Supervisory Control of Multiple Robots . Proceedings of the 2nd Annual Conference on Human-Robot Interaction, Washington, D.C.,March, 2007.

S. Bruni, Y. Boussemart, M.L. Cummings, and S. Haro . Visualizing Cognitive Strategies in Time-Critical Mission Replanning . In Proceedings of HSIS 2007: ASNE Human Systems Integration Symposium, Annapolis, MD, March, 2007.

S.D. Scott,J. Wan, A.Rico, C. Furusho, M.L. Cummings. Aiding Team Supervision in Command and Control Operations with Large-Screen Displays . In Proceedings of HSIS 2007: ASNE Human Systems Integration Symposium, Annapolis, MD, March, 2007.

2006

Nehme, C. E.. Supporting Dynamic Contextual Decisions in Supervisory Control of Heterogeneous Unmanned Vehicles , presented at the Unmanned Vehicle Systems Canada Conference, Montebello, Quebec, Nov. 2006.

M.L. Cummings, K. Meyers, and S.D. Scott, Modified Cooper Harper Evaluation Tool for Unmanned Vehicle Displays , presented at the Unmanned Vehicle Systems Canada Conference, Nov., 2006.

Scott, S.D., Mercier, S., Cummings, M.L., Wang, E.. Assisting Interruption Recovery in Supervisory Control of Multiple UAVs , Proceedings of HFES 2006: 50th Annual Meeting of the Human Factors and Ergonomic Society, San Francisco, CA, Oct., 2006.

Nehme, C.E., Scott, S.D., Cummings, M.L., Furusho, C.Y., Generating Requirements for Futuristic Heterogeneous Unmanned Systems , Proceedings of HFES 2006: 50th Annual Meeting of the Human Factors and Ergonomic Society, San Francisco, CA, Oct., 2006.

Bruni, S., Marquez, J., Brzezinski, A., & Cummings, M.L., Visualizing Operators’ Cognitive Strategies In Multivariate Optimization , Proceedings of HFES 2006: 50th Annual Meeting of the Human Factors and Ergonomic Society, San Francisco, CA, Oct., 2006.

Smith, C.A.,. & Cummings, M.L., Utilizing Ecological Perception to Support Precision Lunar Landing , Proceedings of HFES 2006: 50th Annual Meeting of the Human Factors and Ergonomic Society, San Francisco, CA, Oct., 2006.

M. L. Cummings, Can CWA Inform the Design of Networked Intelligent Systems? , presented at Moving Autonomy Forward Conference, Grantham, UK, June, 2006.

Scott, S.D., Cummings, M.L., Graeber, D.A., Nelson, W.T., & Bolia, R.S., Collaboration Technology in Military Team Operations: Lessons Learned from the Corporate Domain, CCRTS: Command and Control Research and Technology Symposium, San Diego, CA, June 2006.

Ho, A.W.L., Cummings, M.L., Wang, E., Tijerina, & L., Kochar, D.S., Integrating Intelligent Driver Warning Systems: Effects of Multiple Alarms and Distraction on Driver Performance , Transportation Research Board Annual Meeting, Washington, DC, May, 2006.

Bruni, S., & Cummings, M.L., Tracking Resource Allocation Cognitive Strategies for Strike Planning , COGIS 2006 - Cognitive Systems with Interactive Sensors, Paris, France, Jan., 2006.

2005

Cummings, M.L., Human Supervisory Control Challenges in Network Centric Operations , Unmanned Vehicle Systems Canada, Alberta, Canada, Nov., 2005.

Marquez, J.J., Cummings, M. L., Roy, N., Kunda, M., Newman, D.J., Collaborative Human-Computer Decision Support for Planetary Surface Traversal , presented at the AIAA InfoTech, Arlington, VA, Sept., 2005.

Cummings, M.L., Tsonis, C.G.,Deconstructing Complexity in Air Traffic Control , HFES Annual Conference, Orlando, FL, Sept., 2005.

Tsonis, C., Cunha, D. C., et al., Developing Visualization Tools for the Design of Air Traffic Control Experiments , 49th Annual Meeting of the Human Factors and Ergonomics Society, Orlando, FL, Sept., 2005.

Cummings, M. L., & Mitchell, P. M.. Managing Multiple UAVs through a Timeline Display. Paper presented at the AIAA InfoTech, Arlington, VA, Sept. 2005.

Cummings, M. L., Bruni, S., Collaborative Human-Computer Decision Making in Network Centric Warfare , TTCP HUM TP7 Workshop on Aerospace Human Factors Issues in Network-Centric Warfare, Salisbury, UK, July, 2005.

Cummings, M. L., Mitchell, P. M., Management of Multiple Dynamic Human Supervisory Control Tasks for UAVs, presented at the Human Computer Interaction International Human Systems Integration Conference, Las Vegas, by invitation, July, 2005.

Mitchell, P. M., Cummings, M. L., Management of Multiple Dynamic Human Supervisory Control Tasks , 10th International Command And Control Research And Technology Symposium, McLean, VA, June, 2005.

Bruni, S., Cummings M.L., Human Interaction with Mission Planning Search Algorithms , ASNE Human Systems Integration Conference. Arlington, VA, June, 2005.

Cummings, M.L., C.G Tsonis, . Cunha, D.C . Complexity Mitigation Through Airspace Structure , 13th International Symposium on Aviation Psychology, Oklahoma City, OK, April, 2005.

2004

Cummings, M.L., Automation Bias in Intelligent Time Critical Decision Support Systems , AIAA 1st Intelligent Systems Technical Conference, September 2004.

Cummings, M.L., Human Supervisory Control of Swarming Networks 2nd Annual Swarming: Autonomous Intelligent Networked Systems Conference, June 2004.

Other Publications

Powale, P., Design and Testing of a Roadside Traffic Threat Alerting Mechanism , S.M. Thesis, MIT Electrical Engineering and Computer Science, Cambridge, MA, 2013
sound file- pulsed air horn
sound file- woop

Clare, A.S., Modeling Real-Time Human-Automation Collaborative Scheduling of Unmanned Vehicles , Ph.D. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA, 2013

Malik, R., Decision Support Tool For Dynamic Workforce Scheduling In Manufacturing Environments , M.S. Thesis, MIT Electrical Engineering and Computer Science, Cambridge, MA, 2013.

Cummings, M.L., Operator Interaction with Centralized Versus Decentralized UAV Architectures , Handbook of Unmanned Aerial Vehicles, Springer, in press.

Berardi, C. W., Investigating the Efficacy of Terrorist Network Visualizatio n, M.S. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA, 2013.

Griner, A., Human-RRT Collaboration in UAV Mission Path Planning , M. Eng. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA, 2012.

Jackson, K.F.,(2012) Development and Evaluation of a Collision Avoidance System for Supervisory Control of a Micro Aerial Vehicle , S. M. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA.

Mkrtchyan, A.A.,(2011) Modeling Operator Performance in Low Task Load Supervisory Domains, S. M. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA.

Ryan, J.C., (2011) Assessing the Performance of Human Automation Collaborative Planning Systems , S. M. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA.

Boussemart, Y. (2011) Predictive Models of Procedural Human Supervisory Control Behavior , Ph.D. Thesis, MIT Engineering Systems Division, Cambridge, MA

Cummings, M.L., (2010) Technology Impedances to Augmented Cognition , Ergonomics in Design, pp. 25-27, Spring.

Rathje, J.M., (2010) Human-Automation Collaboration in Occluded Trajectory Smoothing , S. M. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA.

Caves, A. (2010), Human-Automation Collaborative RRT for UAV Mission Path Planning , M Eng Thesis, MIT Electrical Engineering and Computer Science, Cambridge, MA.

Tappan, J.M, (2010), Designing an Error Resolution Checklist for a Shared Manned-Unmanned Environment , S. M. Thesis, MIT Engineering Systems, Cambridge, MA.

Coley, J. F., (2010) Visualizing Subjective Decision Criteria For System Evaluation , M Eng Thesis, MIT Electrical Engineering and Computer Science, Cambridge, MA.

McDonald, A.D., (2010) A Discrete Event Simulation Model For Unstructured Supervisory Control Of Unmanned Vehicles , B. S. Thesis, MIT Mechanical Engineering, Cambridge, MA.

Clare, A.S., (2010) Dynamic Human-Computer Collaboration in Real-time Unmanned Vehicle Scheduling , S. M. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA.

Castonia, R.W., (2010) The Design of a HSMM-Based Operator State Monitoring Display , S. M. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA.

Southern, D.N., (2010), Human-Guided Management of Collaborating Unmanned Vehicles in Degraded Communication Environments, S. M. Thesis, MIT Electrical Engineering and Computer Science, Cambridge, MA.

Hart, C.S., (2010) Assessing the Impact of Low Workload in Supervisory Control of Networked Unmanned Vehicles, S. M. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA.

Pitman, D., (2010) Collaborative Micro Aerial Vehicle Exploration of Outdoor Environments , M. Eng. MIT Electrical Engineering and Computer Science, Cambridge, MA, 2010.

Huang, H.H.H., (2009) Developing an Abstraction Layer for the Visualization of HSMM-Based Predictive Decision Support, S. M. Thesis, MIT Electrical Engineering and Computer Science, Cambridge, MA.

Massie, A. E., (2009), Designing a Graphical Decision Support Tool to Improve System Acquisition Decision , S. M. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA.
» see video

Carrigan, G. P., (2009), The Design of an Intelligent Decision Support Tool for Submarine Commander,
S. M. Thesis, MIT Engineering Systems Division, Human Systems Engineering Track, Cambridge, MA.

Nehme, C.E., (2009), Modeling Human Supervisory Control in Heterogeneous Unmanned Vehicle System,
Ph. D. Thesis, MIT Dept. of Aeronautics and Astronautics, Cambridge, MA.

Donmez, B., Pina, P. E., & Cummings, M. L. (2009). Evaluation criteria for human-automation performance metrics. In R. Madhavan, E. Tunstel & E. Messina (Eds.), Performance Evaluation and Benchmarking of Intelligent Systems: Springer.

Buchin, M., (2009) Assessing the Impact of Automated Path Planning Aids in the Maritime Community, S. M. Thesis, MIT Electrical Engineering and Computer Science, Cambridge, MA.
» see video

Fisher, S., (2008) Replan Understanding for Heterogenous Unmanned Vehicle Teams, M. Eng. MIT Electrical Engineering and Computer Science, Cambridge, MA.

Graham, H.D., (2008). Effect of Auditory Peripheral Displays on Unmanned Aerial Vehicle Operator Performance, S.M. Thesis, MIT Engineering Systems, Cambridge, MA.

Brzezinski, A.S., (2008). StarVis: A Configural Decision Support Tool for Schedule Management of Multiple Unmanned Aerial Vehicles, S.M. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA.

Bhattacharjee, D. (2007). A Proposed Cost-benefit Analysis Model for Physical Form Analysis for a Futuristic Submarine Decision Support System, Thesis, (MS) MIT Aeronautics and Astronautics, Cambridge, MA.

M. Ashdown and S. D. Scott, Designing Tabletop Interfaces for Asymmetric Distributed Collaboration, IEEE Tabletop 2007 workshop, Newport, RI.

Marquez, J.J., (2007) Human-Automation Collaboration: Decision Support for Lunar and Planetary Exploration, Ph. D. Thesis, MIT Aeronautics and Astronautics, Cambridge, MA

M.L. Cummings, C. E. Nehme, and J. Crandall, Predicting Operator Capacity for Supervisory Control of Multiple UAVs, in Innovations in Intelligent Machines vol. 70, Studies in Computational Intelligence J. S. Chahl, L. C. Jain, A. Mizutani, and M. Sato-Ilic, Eds., 2007.

Smith, C.A., (2006) An Ecological Perceptual Aid for Precision Vertical Landings , Thesis, (MS) MIT Aeronautics and Astronautics, Cambridge, MA.
Click here for media files

Cummings, M. L., Morales, D., (2005) UAVs as Tactical Wingmen: Control Methods and Pilots' Perceptions, Unmanned Systems, February 2005.

Leigh McCue

Autonomous modular water collection system

Athapaththu, A., Barth, V., Jones, V., and McCue, L., “Autonomous modular water collection system,” 2023 IEEE Oceans Conference, June 5-8, Limerick, Ireland.

Gaze controlled underwater remotely operated vehicle (ROV) to improve accessibility in maritime robotics

Barth, V., Jones, V., Athapaththu, A., and McCue, L., “Gaze controlled underwater remotely operated vehicle (ROV) to improve accessibility in maritime robotics,” 2023 IEEE Oceans Conference, June 5-8, Limerick, Ireland.

On the vertical and horizontal integration of robotics within engineering and computing education

Barth, V., Berg, C., Costa, P., Cummings, M., Denham, W., Handler, R., Hayes, M., Karri, D., Kathir, N., McCue, L., Miller Hooks, E., Nowzari, C., Reagle, C., Rosenblum, D., Rostobaya, V., Sanders, Q., Shishika, D., Shortle, J., and Sinanovic, E., “On the vertical and horizontal integration of robotics within engineering and computing education,” IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems, March 15-17, 2023, Honolulu, Hawaii.

On the use of video in support of a maritime robotics STEM outreach program

McCue, L., Rathbun, S., Raz, A., Shishika, D., Smith, C., Hagarty, A., Wood, R., Williams, E., Nowzari, C., and Yang, J., “On the use of video in support of a maritime robotics STEM outreach program,” ASEE Southeastern Section Conference, Fairfax, VA, March 12-14, 2023.

SeaPerch and SeaGlide Camp Implementation

McCue, L., Barth, V., and Hall, J., “SeaPerch and SeaGlide Camp Implementation,” ASEE Southeastern Section Conference, Fairfax, VA, March 12-14, 2023.

A Pandemic Pivot Podcast

McCue, L., “A Pandemic Pivot Podcast,” ASEE Southeastern Section Conference, Fairfax, VA, March 12-14, 2023.

Work-in-Progress: Development of a new hands-on STEM program for biologically inspired maritime robotics

McCue, L., Hagarty, A., Nowzari, C., Raz, A., Riggi, M., Rosenberg, J., Shishika, D., Smith, C., Nelson, J., “Work-in-Progress: Development of a new hands-on STEM program for biologically inspired maritime robotics,” Ocean and Marine Engineering Division, American Society for Engineering Education Annual Conference, Minneapolis, MN, June, 2022.

Operational measures for intact ship stability

Shigunov, Vladimir; Themelis, Nikos; Bačkalov, Igor; Begovic, Ermina; Boulougouris, Evangelos; Cichowicz, Jakub; Eliopoulou, Eleftheria; Hashimoto, Hirotada; Hinz, Tomasz; González, Marcos Míguez; Karolius, Kristian; Manderbacka, Teemu; McCue, Leigh; Rodríguez, Claudio, “Operational measures for intact ship stability,” First International Conference on the Stability and Safety of Ships and Ocean Vehicles, June 2021.

A case study on the practical use of low-fidelity modeling to mitigate the spread of COVID-19 amongst the underserved farmworker community

McCue, L., Knight, M., Driscoll, M., Jenkins, P., and Sorensen, J., “A case study on the practical use of low-fidelity modeling to mitigate the spread of COVID-19 amongst the underserved farmworker community,” La Matematica, 2023.

Field-test of two mobile apps for commercial fishing safety: feedback from fishing vessel captains

Bulzacchelli, M., Bellantoni, J., McCue, L., and Dzugan, J., “Field-test of two mobile apps for commercial fishing safety: feedback from fishing vessel captains,” WORK: A Journal of Prevention, Assessment & Rehabilitation, 2023.

The receptivity to safety-related mobile apps among commercial fishing captains: descriptive exploratory study

Bulzacchelli, M., Bellantoni, J., McCue, L., and Dzugan, J., “The receptivity to safety-related mobile apps among commercial fishing captains: descriptive exploratory study,” JMIR Formative Research, Vol 6, Issue 11, 2022.

A Low-Fidelity Stochastic Model of Viral Spread in Aircraft to Assess Risk Mitigation Strategies

McCue, L, “A Low-Fidelity Stochastic Model of Viral Spread in Aircraft to Assess Risk Mitigation Strategies,” ASME. ASME J. Risk Uncertainty Part B. Available online February 4, 2021.

Low cost unmanned surface vehicle swarm formation control using a potential field

Bhanderi, D. and McCue, L., “Low cost unmanned surface vehicle swarm formation control using a potential field,” Global OCEANS 2020: Singapore-U.S. Gulf Coast, October 2020.

A coupled SPH-FEM Solver for Modeling Surface Effect Ship (SES) Bow Seal Dynamics

Gilbert, J. and McCue, L., “A coupled SPH-FEM Solver for Modeling Surface Effect Ship (SES) Bow Seal Dynamics,” Virtual 39th International Conference on Ocean, Offshore & Arctic Engineering (OMAE) 2020, June 28-July 3, 2020.

The Portia Hypothesis: Mechanical Engineering Student Perceptions of Qualifications

McCue, L., “The Portia Hypothesis: Mechanical Engineering Student Perceptions of Qualifications,” Virtual American Society of Engineering Education Annual Conference, June 2020.

Design Trends in Unmanned Systems

McCue, L., “Design Trends in Unmanned Systems,” SNAME/IBEX 2019, Tampa, FL, September 30, 2019.

Utilization of KNN Algorithms on AIS data for Enhanced Maritime Domain Awareness

McCue, L., “Utilization of KNN Algorithms on AIS data for Enhanced Maritime Domain Awareness,” Technology, Systems and Ships, Washington, DC, June 18-20, 2019.

Implementing and Integrating an engineering video game into a variety of educational contexts

Briscoe, M., McCue, L., and Lumme, D., “Implementing and Integrating an engineering video game into a variety of educational contexts,” 2019 ASEE Annual Conference and Exposition, Tampa, Florida, June, 2019.

Gamifying Engineering: Initial data and results from implementing a naval engineering video game

Briscoe, M., McCue, L., Kring, D., and Craig, M., “Gamifying Engineering: Initial data and results from implementing a naval engineering video game (work in progress),” 2019 ASEE Southeastern Section Conference, Rayleigh, NC, March 10-12, 2019.

Cooper, M. and McCue, L., “Design of a Controller for Autonomous Vessel Recovery Utilizing the Prediction of Host Vessel Motions,” Naval Engineers Journal, Volume 129, Number 1, 1 March 2017, pp. 117-131(15).

Cooper, M., Wu, W., and McCue, L., “Non-intrusive Polynomial Chaos for Efficient Uncertainty Analysis in Parametric Roll Simulations,” Journal of Marine Science and Technology, Volume 21, Issue 2, pp. 282-296, June 2016.

Battista, T., Woolsey, C., McCue, L., Paterson, E., and Valentinis, F., “Underwater Vehicle Depth and Attitude Regulation in Plane Progressive Waves,” 54th IEEE Conference on Decision and Control, Osaka, Japan, 2015.

Sherman, Stephanie, McCue, Leigh, and Roberts, Billy, “Quantifying the Effects of Uncertainty in a Decentralized National Airspace System,” Transportation Research Record: Journal of the Transportation Research Board, Volume 2600, Issue 1, pp. 94-101, January 1, 2016.

Allen, David, Jones, Matthew, McCue, Leigh, Moore, William, Philen, Michael, and Woolsey, Craig, “Exploring the oceans of Europa with biologically-inspired underwater vehicles,” Journal of the British Interplanetary Society, August 2015.

Sherman, S. and McCue, L., “A Framework for Quantifying the Effects of Uncertainty in a Decentralized National Airspace System,” 2014 AIAA Region I Student Conference, Cornell, April 2014.

Lee, Evan, Pavkov, Mark, and McCue, Leigh, “The systematic variation of step configuration and displacement for a double step planing craft,” Journal of Ship Production and Design, Volume 30, Number 2, May 2014.

Yang, Q., Jones, V., Kumar, P., and McCue, L., “Validation of a SPH-FEM Model for Seal Dynamics of Surface Effect Ships” Naval Engineers Journal, Volume 125, Number 4, December 2013.

Allen, D., Jones, M., Woolsey, C., Moore, W., and McCue, L., “Mapping a mission profile for the exploration of Europa’s ocean,” AIAA Space 2013 Conference and Exposition, San Diego, CA, September 2013.

McCue, L., “On the use of mobile apps for improved maritime safety,” Safety and energy efficiency in river transportation for a sustainable development of the peruvian Amazon region, First International Conference, 17th-19th July 2013, Iquitos, Peru.

Yang, Q., Jones, V., and McCue, L., “Free-surface Flow Interactions with Deformable Structures Using an SPH-FEM Model,” Ocean Engineering, Volume 55, December 2012, pp. 136-147.

McCue, L., “A comparative analysis of personal electronic devices as data acquisition systems,” 2012 Launch and Recovery Symposium, Maryland, November, 2012.

Kumar, P., Yang, Q., Jones, V., and McCue, L., “Coupled SPH-FVM simulation within the OpenFOAM framework,” IUTAM Symposium on Particle Methods in Fluid Mechanics, Lyngby, Denmark, October 2012.

Cooper, M. and McCue, L., “Effectiveness of chaotic system measures for the validation of ship dynamics simulations”, 11^th International Conference on the Stability of Ships and Ocean Vehicles, Athens, Greece, September 2012.

McCue, L., “Putting vessel motion research into the hands of operators,” 11^th International Conference on the Stability of Ships and Ocean Vehicles, Athens, Greece, September 2012.

McCue, L.S., “Statistics of extreme slam responses and implications for small craft design,” Journal of Ship Production and Design, August 2012, pp. 112-127.

McCue, L.S., Jacobson, D., Weil, C., and Zseleczky, J., “A look at the impact of filter selection on characterization of vertical acceleration peaks,” Chesapeake Powerboat Symposium, Annapolis, Maryland, June 2012.

Venturella, M., Patil, M. and McCue, L., “Modal analysis of the ice-structure interaction problem,” Journal of Offshore Mechanics and Arctic Engineering, Volume 133, Issue 4, 2011. Originally presented at the 27th International Conference on Offshore Mechanics and Arctic Engineering (OMAE 2008), Estoril, Portugal, June 2008.

Yang, Q., Jones, V., and McCue, L., “Investigation of skirt dynamics of air cushion vehicles under non-linear wave impact using a SPH-FEM model,” 11^th International Conference on Fast Sea Transportation (FAST), Honolulu, HI, September 2011.

Wu, W., Bulian, G., and McCue, L., “Uncertainty analysis for parametric roll using non-intrusive polynomial chaos,” Proceedings of the 12^th International Ship Stability Workshop, Washington DC, June 2011.

McCue, L. and Schetz, J., “A combined curriculum in aerospace and ocean engineering—38 years later,” 2011 ASEE Annual Conference and Exposition, paper number AC2011-2787, Vancouver, Canada, June 2011.

Cooper, M. and McCue, L., “Experimental study on deformation of flexible wedge upon water entry,” 9^th Symposium on High-Speed Marine Vehicles, Naples, Italy, May 2011.

Wu, W., McCue, L.S., and Roy, C., “The Method of Manufactured Solutions Applied to Chaotic Systems,” Nonlinear Dynamics, 2011, Volume 63, Issue 4, pp. 667-679.

Xing, Z. and McCue, L.S., “Modeling ship equations of roll motion using neural networks,” Naval Engineers Journal, 2010, Volume 122, Issue 3, pp. 49-60.

Story, W.R., Xing, Z., Wu, W., and McCue, L.S., “Validation: a historical look and two suggested techniques,” ITTC Workshop on Seakeeping – V&V for Non-linear Seakeeping Analysis-, Seoul, Korea, October 2010.

Wu, W., Spyrou, K.J., and McCue, L.S., “Improved prediction of the threshold of surf-riding of a ship in steep following seas” Ocean Engineering, 2010, Volume 37, pp. 1103-1110.

Jones, V., Yang, Q., and McCue, L., “SPH Boundary Deficiency Correction for Improved Boundary Conditions at Deformable Surfaces,” Ship Science and Technology/Ciencia y Tecnología de Buques, Volume 4, Number 7, July 2010.

McCue, L., Sanjuan. M., and Hubbard, R., “Concepts and conclusions from the 2010 Pan-American Advanced Studies Institute on Dynamics and Control of Manned and Unmanned Marine Vehicles,” Ship Science and Technology/Ciencia y Tecnología de Buques, Volume 4, Number 7, July 2010.

Yang, Q., Jones, V., and McCue, L., “Numerical Study on Fluid Structure Interaction Using Smoothed Particle Hydrodynamics and the Finite Element Method” 5^th International SPHERIC Workshop, Manchester UK, June 2010.

Wu, W. and McCue, L., “Melnikov’s method applied to a multi-DOF ship model,” 11^th  International Ship Stability Workshop, Wageningen, The Netherlands, June 2010.

McCue, L., Waller, T., Crede, E., and Gaines, J., “Give them what they want: A look at student directed curriculum revision in a summer bridge camp,” ASEE-SE Annual Conference, Blacksburg, VA, April 2010.

Watford, B., Crumpton-Young, L., Davidson, S., McCue, L., and Schulz, N., “Taking a break from academia,” panel discussion with summary paper, 2009 ASEE Annual Conference and Exposition, Austin, Texas, June 2009.

McCue, L.S., Wu, W., Story, W.R., and Xing, Z., “Modeling, verification, and validation of chaotic systems with application to ship motions and the Lorenz oscillator,” 2009 NSF Engineering Research and Innovation Conference, Honolulu, HI, June 2009.

Xing, Z. and McCue, L.S., “Parameter identification for two nonlinear models of ship rolling using neural networks,” 10^th International Conference on Stability of Ships and Ocean Vehicles, St. Petersburg, Russia, June 2009.

Wu, W. and McCue, L.S. “Application of the extended Melnikov’s method for single-degree-of-freedom vessel roll motion” Ocean Engineering, 2008, Volume 35, Numbers 17-18, pp. 1739-1746.

Alford, L., Banik, A., Belenky, V., Ellermann, K., Hashimoto, H., Maki, A., McCue, L., Neves, M.A.S., Rodriguez, C., Troesch, A., Umeda, N., and Weems, K., “Discussion on analytical approaches to the study of vessel dynamics – Outcomes of the two part minisymposium at the 2007 SIAM Conference on Applications of Dynamical Systems –” Marine Technology, 2008, Volume 45, Number 4, pp. 211-220.

McCue, L.S., Story, W.R., and Reed, A.M., “Nonlinear dynamics applied to the validation of computational methods,” 27^th Symposium on Naval Hydrodynamics, Seoul, Korea, October 2008.

Venturella, M., Patil, M. and McCue, L., “Modal analysis of the ice-structure interaction problem,” OMAE2008-57099, Proceedings of the 27^th International Conference on Offshore Mechanics and Arctic Engineering (OMAE 2008), Estoril, Portugal, June 2008.

McCue, L.S. and Pace, C., “Sea-based aviation to bridge the gap between aerospace and naval engineering students,” 2008 ASEE Annual Conference and Exposition, Pittsburg, PA, June 2008.

McCue, L.S., “Motion prediction envelopes for intact and damaged hulls,” Proceedings of the 10^th International Ship Stability Workshop, Korea, March 2008.

McCue, L.S., Campbell, B., and Belknap, W., “On the parametric resonance of tumblehome hullforms in a longitudinal seaway,” Naval Engineers Journal 2007, Volume 119, Issue 3, pp. 35-44.

Sherman, B., McCue, L.S., Bi, P., and Milgram, J., “Assessing the effectiveness of dynamic deck motion limit systems,” Conference Paper No. PRADS2007-20290, 10^th International Symposium on Practical Design of Ships and Other Floating Structures, Houston, Texas, October, 2007.

McCue, L.S. and Bulian, G., “A numerical feasibility study of a parametric roll advance warning system,” Journal of Offshore Mechanics and Arctic Engineering, 2007, Volume 129, Issue 3, pp. 165-175. Originally presented at the 25th International Conference on Offshore Mechanics and Arctic Engineering (OMAE 2006), Hamburg, Germany, June 2006.

McCue, L.S. and Campbell, B., “Approximation of ship equations of motion from time series data,” 9^th International Ship Stability Workshop, Hamburg, Germany, August 2007.

Bassler, C., Peters, A., Campbell, B., Belknap, W., and McCue, L.S., “Dynamic stability of flared and tumblehome hull forms in waves,” 9^th International Ship Stability Workshop, Hamburg, Germany, August 2007.

Wu, W. and McCue, L.S., “Melnikov’s method for ship motions without the constraint of small linear-damping,” IUTAM Symposium on Fluid-Structure Interaction in Ocean Engineering, Hamburg, Germany, July 2007.

Cotting, M.C., McCue, L.S., and Durham, W.C., “The instructional design and redesign of an undergraduate-level, simulator-based course on ‘Flight Test Techniques,’” ASEE Conference Paper No. AC2007-93, 2007 ASEE Annual Conference and Exposition, Honolulu, Hawaii, June 2007.

Brown, A., Hughes, O., McCue, L.S., Neu, W., and Tretola, B., “Distance learning in the graduate-level ocean engineering curriculum,” ASEE Conference Paper No. AC2007-49, 2007 ASEE Annual Conference and Exposition, Honolulu, Hawaii, June 2007.

McCue, L.S. and Scales, G.R., “Embracing the middle ground: Engaging on- and off-campus students within the same ‘classroom,’” ASEE-SE Conference Paper No. 2007015MCC, 2007 ASEE Southeastern Section Conference, Louisville, Kentucky, April 2007.

Cotting, M.C., McCue, L.S., and Durham, W.C., “Simulator-based flight test engineering as a capstone to the dynamics and control curriculum,” AIAA Conference Paper No. AIAA-2007-0699, 45^th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 2007.

McCue, L.S., Belknap, W., and Campbell, B., “Reconciling experimental and numerical data: techniques of nonlinear seakeeping code validation,” invited submission to Marine Systems and Ocean Technology, 2006, Volume 2, Numbers 1-2, pp. 55-62. Originally presented at the 8th International Ship Stability Workshop, Istanbul, Turkey, October 2005.

Alford, L.K., Troesch, A.W., and McCue, L.S., “Design wave elevations leading to extreme roll motion,” invited submission to Marine Systems and Ocean Technology, 2006, Volume 2, Numbers 1-2, pp. 45-53. Originally presented at the 8th International Ship Stability Workshop, Istanbul, Turkey, October 2005.

McCue, L.S., Bassler, C., and Belknap, W., “Real-time identification of behavior leading to capsize,” 9^th International Conference on Stability of Ships and Ocean Vehicles (STAB 2006), Rio de Janeiro, Brazil, September 2006.

Delorme, L., Bulian, G., McCue, L.S., and Souto-Iglesias, A., “Coupling between sloshing and ship roll motion: Comparison between nonlinear potential theory and SPH,” 26^th Symposium on Naval Hydrodynamics, Rome, Italy, September 2006.

McCue, L.S. and Troesch, A.W. “A combined numerical-empirical method to calculate finite time Lyapunov exponents from experimental time series with application to vessel capsizing,” Ocean Engineering, 2006, Volume 33, Issue 13, pp. 1796-1813.

McCue, L.S. and Bulian, G., “A numerical feasibility study of a parametric roll advance warning system,” ASME Conference Paper No. OMAE2006-92277, 25^th International Conference on Offshore Mechanics and Arctic Engineering (OMAE 2006), Hamburg, Germany, June 2006.

Story, W., LeCroy, B., Pace, C., Palmer, M., and McCue, L.S., “Case studies: catastrophic vessel dynamics in extreme sea conditions,”  ASEE Conference Paper No. 2006-469, 2006 ASEE Annual Conference and Exposition, Chicago, Illinois, June, 2006.

Lee, Y.-W., McCue, L.S., Obar, M.S., and Troesch, A.W., “Experimental and numerical investigation into the effects of initial conditions on a three degree of freedom capsize model,” Journal of Ship Research, 2006, Volume 50, Number 1, pp. 63-84.

McCue, L.S., Alford, L., Belknap, W., Bulian, G., Delorme, L., Francescutto, A., Lugni, C., Troesch, A.W., and Vakakis, A., “An overview of the minisymposium on ‘Extreme Ship Dynamics’ presented at the 2005 SIAM Conference on Applications of Dynamical Systems,” Marine Technology, 2006, Volume 43, No. 1, pp. 55-61.

McCue, L.S., Belknap, W., and Campbell, B., “Reconciling experimental and numerical data: techniques of nonlinear seakeeping code validation,” 8^th International Ship Stability Workshop, Istanbul, Turkey, October 2005.

McCue, L.S., “Applications of finite-time Lyapunov exponents to the study of capsize in beam seas,” 8^th International Ship Stability Workshop, Istanbul, Turkey, October 2005.

Alford, L.K., Troesch, A.W., and McCue, L.S., “Design wave elevations leading to extreme roll motion,” 8^th International Ship Stability Workshop, Istanbul, Turkey, October 2005.

McCue, L.S. and Troesch, A.W., “Identification of nonlinear and chaotic behavior in model-scale liquefied natural gas (LNG) carrier experimental data,” ASME Conference Paper No. DETC2005-84459, ASME 2005 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Long Beach, CA, September 2005.

McCue, L.S. and Troesch, A.W., “Probabilistic determination of critical wave height for a multi-degree of freedom capsize model,” Ocean Engineering, 2005, Volume 32, Issue 13, pp. 1608-1622.

McCue, L.S. and Troesch, A.W., “Use of Lyapunov exponents to predict chaotic vessel motions,” 7^th International Ship Stability Workshop, Shanghai, China, November 2004.

McCue, L.S. and Troesch, A.W., “The effect of coupled heave/heave velocity or sway/sway velocity initial conditions on capsize modeling,” 8^th International Conference on the Stability of Ships and Marine Vehicles, Madrid, Spain, September 2003.

Cameron Nowzari

Journal Articles

C. Taylor and C. Nowzari. The impact of catastrophic collisions and collision avoidance on a swarming behavior   Robotics and Autonomous Systems 140, pp. 103754

S. M. P. Dinakarrao, X. Guo, H. Sayadi, C. Nowzari, A. Sasan, S. Rafatirad, L. Zhao and H. Homayoun. Scalable technique for securing IoT networks against malware epidemics IEEE Access 8 (2), 2020, pp. 138508-138528

D. Tabatabai, M. Ajina, and C. Nowzari. Self-triggered k-order coverage control. IEEE Transactions on Control of Network Systems 8 (3), 2021, pp. 1059-1068

J. Berneburg and C. Nowzari. Robust dynamic event-triggered coordination of multi-agent systems with a designable minimum inter-event time. IEEE Transactions on Automatic Control 66 (8), 2021, pp. 3417-3428

M. Ajina, D. Tabatabai, and C. Nowzari. Asynchronous distributed event-triggered coordination for multi-agent coverage control. IEEE Transactions on Cybernetics 51 (12), 2021, pp. 5941-5953

P. Xu, C. Nowzari, and Z. Tian. A class of distributed event-triggered average consensus algorithms for multi-agent systems. pdf International Journal of Control 95 (2), 2022, pp. 502-515

S. L. Bowman, C. Nowzari, G. J. Pappas. Consensus of multi-agent systems via asynchronous cloud communication. IEEE Transactions on Control of Network Systems 7 (2), 2019, pp. 627-637

C. Nowzari, E. Garcia, and J. Cortes. Event-triggered communication and control of networked systems for multi-agent consensus. Automatica 105, 2019, pp. 1-27

N. J. Watkins, C. Nowzari, and G. J. Pappas. Robust economic Model Predictive Control of continuous-time epidemic processes. IEEE Transactions on Automatic Control 63 (3), 2019, pp. 1116-1131

N. J. Watkins, C. Nowzari, V. M. Preciado, and G. J. Pappas. Optimal resource allocation for competitive spreading processes on bilayer networks. IEEE Transactions on Control of Network Systems 5 (1), 2018, pp. 298-307

C. Nowzari, V. M. Preciado, and G. J. Pappas. Analysis and control of epidemics. IEEE Control Systems Magazine 36 (1), 2016, pp. 26-46. IEEE Control Systems Magazine Outstanding Paper Award

C. Nowzari, V. M. Preciado, and G. J. Pappas. Optimal resource allocation for control of networked epidemic models. IEEE Transactions on Control of Network Systems 4 (2), 2017, pp. 159-169

S. Han, V. M. Preciado, C. Nowzari, and G. J. Pappas. Data-driven network resource allocation for controlling spreading processes. IEEE Transactions on Network Science and Engineering 2 (4), 2015, pp. 127-138

C. Nowzari and J. Cortes. Distributed event-triggered coordination for average consensus on weight-balanced digraphs. Automatica 68, 2016, pp. 237-244

C. Nowzari and J. Cortes. Team-triggered coordination for real-time control of networked cyber-physical systems. IEEE Transactions on Automatic Control 61 (1), 2016, pp. 34-47

C. Nowzari and J. Cortes. Self-triggered optimal servicing in dynamic environments with acyclic structure. IEEE Transactions on Automatic Control 58 (5), 2013, pp. 1236-1249

C. Nowzari and J. Cortes. Self-triggered coordination of robotic networks for optimal deployment. Automatica 48 (6), 2012, pp. 1077-1087

Book Chapters

C. Nowzari, J. Cortes, and G. J. Pappas. Event-triggered control for multi-agent average consensus. Cooperative Control of Multi-Agent Systems: Theory and Applications, Wiley, 2017, pp. 177-208

V. M. Preciado, M. Zargham, C. Nowzari, S. Han, M. Ogura, and G. J. Pappas. Bio-inspired framework for allocation of protection resources in cyber-physical networks. Principles of Cyber-Physical Systems, Cambridge University Press, 2020, pp. 293-324

C. Nowzari and J. Cortes. Self-triggered and team-triggered control of networked cyber-physical systems. Event-Based Control and Signal Processing, Series in Embedded Systems, CRC Press, 2015, pp. 203-220

C. Nowzari and J. Cortes. Robust team-triggered coordination of networked cyberphysical systems. Lecture Notes in Control and Information Sciences, vol. 449, Springer-Verlag, 2013, pp. 317-336

Conference Proceedings

J. Prince Mathew and C. Nowzari. Real-time distributed multi-robot target tracking via virtual pheromones. IEEE/RSJ International Conference on Intelligent Robots and Systems, Kyoto, Japan, 2022, pp. 5833-5839

M. Mubarak, J. Berneburg, and C. Nowzari. Stochastic vs. Deterministic Modeling for the Spread of COVID-19 in Small Networks. American Control Conference, New Orleans, LA, 2021, pp. 1342-1347

C. Taylor, A. Siebold, and C. Nowzari. On the Effects of Minimally Invasive Collision Avoidance on an Emergent Behavior. Twelfth International Conference on Swarm Intelligence, Barcelona, Spain, 2020, pp. 324-332

J. Berneburg, E. Garcia, A. Gerlach, D. Casbeer, and C. Nowzari. Strongly Non-Zeno Event-Triggered Wireless Clock Synchronization. International Federation of Automatic Control World Congress, Berlin, Germany, 2020, pp. 2787-2792

C. Taylor, C. Luzzi, and C. Nowzari. On the effects of collision avoidance on emergent swarm behavior. American Control Conference, Denver, Colorado, 2020, pp. 931-936

J. Berneburg and C. Nowzari. Distributed dynamic event-triggered algorithms with positive minimum inter-event times on weight-balanced digraphs. IEEE Conference on Decision and Control, Nice, France, 2019, pp. 2598-2603

X. Guo, L. Zhao, C. Nowzari, S. Rafatirad, H. Homayoun and S. M. P. Dinakarrao. Deep multi-attributed graph translation with node-edge co-evolution. IEEE International Conference on Data Mining, Beijing, China, 2019, pp. 250-259 ICDM Best Paper Award

J. Berneburg and C. Nowzari. Distributed dynamic event-triggered coordination with a designable minimum inter-event time. American Control Conference, Philadelphia, Pennsylvania, 2019, pp. 1424-1429 ACC Best Student Paper Award Finalist

D. Tabatabai and C. Nowzari. Higher-order optimal deployment with self-triggered coordination. American Control Conference, Philadelphia, Pennsylvania, 2019, pp. 2710-2715

S. M. P. Dinakarrao, H. Sayedi, H. M. Makrani, C. Nowzari, S. Rafatirad, and H. Homayoun. Lightweight node-level malware detection and network-level malware confinement in IoT networks. Design, Automation, and Test, Florence, Italy, 2019, pp. 776-781

N. J. Watkins, C. Nowzari, and G. J. Pappas. A robust moment closure for general continuous-time epidemic processes. IEEE Conference on Decision and Control, Miami, Florida, 2018, pp. 244-249

P. Xu, C. Nowzari, and Z. Tian. A class of event-triggered coordination algorithms for multi-agent systems on weight-balanced digraphs. American Control Conference, Milwaukee, Wisconsin, 2018, pp. 5988-5993

M. Ajina and C. Nowzari. An event-triggered virtual force algorithm for multi-agent coverage control with obstacles. American Control Conference, Milwaukee, Wisconsin, 2018, pp. 1009-1014

C. Nowzari. Multi-agent coordination via a shared wireless spectrum. IEEE Conference on Decision and Control, Melbourne, Australia, 2017, pp. 6714-6719

N. J. Watkins, K. Gatsis, C. Nowzari, and G. J. Pappas. Battery management for control systems with energy harvesting sensors. IEEE Conference on Decision and Control, Melbourne, Australia, 2017, pp. 4538-4543

Y. Liu, C. Nowzari, Z. Tian, and Q. Ling. Asynchronous periodic event-triggered coordination of multi-agent systems. IEEE Conference on Decision and Control, Melbourne, Australia, 2017, pp. 6696-6701

N. J. Watkins, C. Nowzari, and G. J. Pappas. Inference, prediction, and control of networked epidemics. American Control Conference, Seattle, Washington, 2017, pp. 5611-5616

S. L. Bowman, C. Nowzari, and G. J. Pappas. Coordination of multi-agent systems via asynchronous cloud communication. IEEE Conference on Decision and Control, Las Vegas, Nevada, 2016, pp. 2215-2220

M. Fazlyab, C. Nowzari, G. J. Pappas, A. Ribeiro, and V. M. Preciado. Self-triggered time-varying convex optimization. PIEEE Conference on Decision and Control, Las Vegas, Nevada, 2016, pp. 3090-3097

N. Bezzo, K. Mohta, C. Nowzari, I. Lee, V. Kumar, and G. J. Pappas. Online planning for energy-efficient and disturbance-aware UAV operations. IEEE/RSJ International Conference on Intelligent Robots and Systems, Daejeon, Korea, 2016, pp. 5027-5033

C. Nowzari and G. J. Pappas. Multi-agent coordination with asynchronous cloud access. American Control Conference, Boston, Massachusetts, 2016, pp. 4649-4654

C. Nowzari, M. Ogura, V. M. Preciado, and G. J. Pappas. Optimal resource allocation for containing epidemics on time-varying networks. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, 2015, pp. 1333-1337

C. Nowzari, M. Ogura, V. M. Preciado, and G. J. Pappas. A general class of spreading processes with non-Markovian dynamics. IEEE Conference on Decision and Control, Osaka, Japan, 2015, pp. 5073-5078

S. A. Aleem, C. Nowzari, and G. J. Pappas. Self-triggered pursuit of a single evader. IEEE Conference on Decision and Control, Osaka, Japan, 2015, pp. 1433-1440

X. Meng, L. Xie, Y. C. Soh, C. Nowzari, and G. J. Pappas. Periodic event-triggered average consensus over directed graphs. IEEE Conference on Decision and Control, Osaka, Japan, 2015, pp. 4151-4156

C. Nowzari, J. Cortes, and G. J. Pappas. Team-triggered coordination of robotic networks for optimal deployment. American Control Conference, Chicago, Illinois, 2015, pp. 5744-5751

N. J. Watkins, C. Nowzari, V. M. Preciado, and G. J. Pappas. Optimal resource allocation for competing epidemics over arbitrary networks. American Control Conference, Chicago, Illinois, 2015, pp. 1381-1386

C. Nowzari, V. M. Preciado, and G. J. Pappas. Stability analysis of generalized epidemic models over directed networks. IEEE Conference on Decision and Control, Los Angeles, California, 2014, pp. 6197-6202

C. Nowzari and J. Cortes. Zeno-free, distributed event-triggered communication and control for multi-agent average consensus. American Control Conference, Portland, Oregon, 2014, pp. 2148-2153

C. Nowzari and J. Cortes. Team-triggered coordination of networked systems. American Control Conference, Washington, D.C. 2013, pp. 3827-3832

C. Nowzari and J. Cortes. Robust optimal decision policies for servicing targets in acyclic digraphs. IEEE Conference on Decision and Control, Maui, Hawaii, 2012, pp. 136-141

C. Nowzari and J. Cortes. Self-triggered coordination of robotic networks for optimal deployment. American Control Conference, San Francisco, California, 2011, pp. 1039-1044 O. Hugo Schuck Best Paper Award ACC Best Student Paper Award Finalist

Daigo Shishika

Journal Publications

N. Zahabi, and D. Shishika, “Nonlinear Opinion Dynamics Models With Stubborn Individuals Over Signed Graphs”, IEEE Transactions on Control of Network Systems, 2022.

A. V. Moll, M. Pachter, D. Shishika, Z. Fuchs, "Circular Target Defense Differential Games," IEEE Transactions on Automatic Control, 2022.

A. V. Moll, D. Shishika, Z. Fuchs, M. Dorothy, "Turret-Runner-Penetrator Differential Game with Role Selection," IEEE Transactions on Aerospace and Electronic Systems, 2022.

X. Yu, D. Saldana, D. Shishika, and M. A. Hsieh, "Resilient consensus in robot swarms with periodic motion and intermittent communication," IEEE Transactions on Robotics, pp. 1-16, 2021

A. K. Chen, D. G. Macharet, D. Shishika, G. J. Pappas, V. Kumar, “Optimal multi-robot perimeter defense using flow networks,” Distributed Autonomous Robotic Systems (DARS), pp. 282-293, 2021

D. G. Macharet, A. A. Neto, D. Shishika, “Minimal exposure dubins orienteering problem,” IEEE Robotics and Automation Letters, 6 (2), pp. 2280-2287, 2021

D. Shishika, J. Paulos, and Vijay Kumar. “Cooperative team strategies for multi-player perimeter defense games," IEEE Robotics and Automation Letters, 5 (2), pp. 2738-2745 2020.

D. Shishika and D. A. Paley. “Mosquito-inspired quadrotor swarming and pursuit for cooperative defense against fast intruders," Autonomous Robots, pp. 1-19, 2019.

D. Shishika J. K. Yim, D. A. Paley. “Robust Lyapunov control design for bio-inspired pursuit with autonomous hovercraft,” IEEE Transactions on Control Systems Technology, no. 99, pp. 1-12, 2016.

D. Shishika N. C. Manoukis, S. Butail, and D. A. Paley. “Male motion coordination in anopheline mating swarms," Scientific Reports, vol. 4, pp. 1-7, 2014.

Peer-reviewed Conference Publications

Y. Guan, L. Pan, D. Shishika, P. Tsiotras, "Chasing Convex Bodies Generated by an Adversary," IEEE American Control Conference (ACC), 2023.

A. K. Chen, B. L. Ferguson, D. Shishika, M. Dorothy, J. R. Marden, G. J. Pappas, V. Kumar, "Path Defense in Dynamic Defender-Attacker Blotto Games (dDAB) with Limited Information," IEEE American Control Conference (ACC), 2023.

A. Pourghorban, M Dorothy, D. Shishika, A. Von Moll, D. Maity “Target Defense against Sequentially Arriving Intruders”, IEEE Conference on Decision and Control (CDC), 6594-6601, 2022

B. L. Ferguson, D. Shishika, J. R. Marden, "Ensuring the Defense of Paths and Perimeters in Dynamic Defender-Attacker Blotto Games (dDAB) on Graphs" 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 1-7, 2022

Leigh McCue, Adrian Hagarty, Cameron Nowzari, Ali Raz, Michael Riggi, Jessica Rosenberg, Daigo Shishika, Cynthia Smith, Jill Nelson, "Work-in-Progress: Development of a new hands-on STEM program for biologically inspired maritime robotics," ASEE Annual Conference & Exposition, 2022

G. Das and D. Shishika, "Guarding a Translating Line with an Attached Defender," IEEE American Control Conference (ACC), pp. 4436-4442, 2022.

D. Shishika, Y. Guan, M. Dorothy, and V. Kumar, "Dynamic defender-attacker Blotto game," IEEE American Control Conference, pp. 4422-4428, 2022.

E. S. Lee, D. Shishika, G. Loianno, and V. Kumar. "Defending a perimeter from a ground intruder using an aerial defender: Theory and practice." IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), pp. 184-189, 2021.

D. Shishika, Dipankar Maity, Michael Dorothy, “Partial information target defense game”, IEEE International Conference on Robotics and Automation (ICRA), pp. 8111-8117, 2021

A. Von Moll, D. Shishika, Z. Fuchs, M. Dorothy, “The turret-runner-penetrator differential game,” IEEE American Control Conference (ACC), pp. 3202-3209, 2021.

A. Von Moll, M. Pachter, D. Shishika, Z. Fuchs, “Guarding a circular target by patrolling its perimeter,” IEEE Conference on Decision and Control (CDC), pp. 1658-1665, 2020.

E. S. Lee, D. Shishika, V. Kumar, “Perimeter-defense game between aerial defender and ground intruder,” IEEE Conference on Decision and Control (CDC), pp. 1530-1536, 2020.

D. Shishika, V. Kumar, “A review of multi agent perimeter defense games,” International Conference on Decision and Game Theory for Security, pp. 472-485, 2020.

D. G. Macharet, A. K. Chen, D. Shishika, G. J. Pappas, V. Kumar, “Adaptive partitioning for coordinated multi-agent perimeter defense”, International Conference on Intelligent Robots and Systems (IROS), pp.-7971-7977, 2020

D. Shishika, D. Macharet, B. M. Sadler, and V. Kumar. “Game theoretic formation design for probabilistic barrier coverage,” International Conference on Intelligent Robots and Systems (IROS), 2020

X. Yu, D. Shishika, D. Saldana, and M. A. Hsieh. “Modular robot formation and routing for resilient consensus," IEEE American Control Conference, Denver, 2020.

Michael Whitzer, D. Shishika Ani M. Hsieh, and Vijay Kumar. “DC-CAPT: concurrent assignment and planning of trajectories for Dubins cars," IEEE International Conference on Robotics and Automation (ICRA), pp. 8791-8797, (2020).

D. Shishika, J. Paulos, M. R. Dorothy, M. A. Hsieh, and V. Kumar. “Team Composition for Perimeter Defense with Patrollers and Defenders," IEEE Conference on Decision and Control, pp. 7325-7332, France, 2019.

J. Paulos, S. W. Chen, D. Shishika, and V. Kumar. “Decentralization of multiagent policies by learning what to communicate," IEEE International Conference on Robotics and Automation, pp. 7990-7996, Montreal, 2019.

D. Shishika, V. Kumar. “Local-game decomposition for multiplayer perimeter-defense problem," IEEE Conference on Decision and Control, pp. 2093-2100, Florida, 2018.

D. Shishika, K. Sherman and D. A. Paley. “Competing swarms of autonomous vehicles: intruders versus guardians," ASME Dynamic Systems and Control Conference, Virginia, 2017.

D. Shishika and D. A. Paley. “Mosquito-inspired swarming for decentralized pursuit with autonomous vehicles," IEEE American Control Conference, pp. 923-929, Seattle, 2017.

D. Shishika and D. A. Paley. “Lyapunov stability analysis of a mosquito-inspired swarm model," IEEE Conference on Decision and Control, pp. 482-488, Osaka Japan, 2015.

D. Shishika, J. K. Yim, and D. A. Paley. “Bio-inspired pursuit with autonomous hovercraft using Lyapunov-based control," IEEE American Control Conference, pp. 3107-3113, Chicago, 2015.

Ningshi Yao

Journal Paper

• Ningshi Yao, Michael Malisoff and Fumin Zhang, “Contention-Resolving Model Predictive Control for Coupled Control Systems with a Shared Resource,” in Automatica, 122, 109219, 2020. [bibtex]
• Ningshi Yao and Fumin Zhang, “Contention-Resolving Model Predictive Control for Scheduling and Controlling Automated Vehicles at an Intelligent Traffic Intersection,” in Discrete Event Dynamic Systems: Theory and Applications, 2021, https://doi.org/10.1007/s10626-020-00336-8.
• Carl Young, Ningshi Yao, and Fumin Zhang, “Adaptiveness and Consistency of A Class of Online Ensemble Learning Algorithms,” in International Journal of Robust and Nonlinear Control, 31(6), 2018-2043, 2021. [bibtex]
• Ningshi Yao, Qiuyang Tao, Weiyu Liu, Zhen Liu, Ye Tian, Peiyu Wang, Timothy Li and Fumin Zhang, “Autonomous flying blimp interaction with human in an indoor space,” in Frontiers of Information Technology and Electronic Engineering, 20(1), 45-59, 2019. [bibtex]

Book Chapter

• Zhenwu Shi, Ningshi Yao, and Fumin Zhang, “Scheduling Feasibility of Energy Management in Micro-grids Based on Significant Moment Analysis,” in Cyber-Physical Systems: Foundations, Principles and Applications, 431-450, Elsevier, 2017.[bibtex]

Conference Papers

• Ningshi Yao and Fumin Zhang, “Event-triggered Scheduling and Control Co-design for Networked Control Systems with Sub-schedulability”, in Proc. 2022 American Control Conference (ACC), Atlanta, GA, 2022, Accepted.
• Ningshi Yao and Fumin Zhang, “Optimal Real-time Scheduling of Human Attention for a Human and Multi-robot Collaboration System”, in Proc. 2020 American Control Conference (ACC), 30-35, Denver, CO, 2020. [bibtex]
• Ningshi Yao, Michael Malisoff and Fumin Zhang, “Contention-Resolving Model Predictive Control for Coordinating Automated Vehicles at a Traffic Intersection”, in Proc. 2019 IEEE Conference on Decision and Control (CDC), 2233-2238, Nice, France, 2019. [bibtex]
• Carol Young, Ningshi Yao, and Fumin Zhang, “Avoiding Chatter in an Online Co-Learning Algorithm Predicting Human Intention”, in Proc. 2019 IEEE Conference on Decision and Control (CDC), 6504-6509, Nice, France, 2019. [bibtex]
• Ningshi Yao and Fumin Zhang, “Resolving Contentions for Intelligent Traffic Intersections using Optimal Priority Assignment and Model Predictive Control”, in Proc. 2018 IEEE Conference on Control Technology and Applications (CCTA), 632-637, Copenhagen, Denmark, 2018. [bibtex]
• Ningshi Yao, Emily Anaya, Qiuyang Tao, Sunji Cho, Hongrui Zheng, and Fumin Zhang, “Monocular Vision-based Human Following on Miniature Robotic Blimp,” in Proc. 2017 IEEE International Conference on Robotics and Automation (ICRA), 3244-3249, Singapore, 2017. [bibtex]
• Ningshi Yao, Michael Malisoff and Fumin Zhang, “Contention Resolving Optimal Priority Assignment for Event-Triggered Model Predictive Controllers,” in Proc. 2017 American Control Conference (ACC), 2357-2362, Seattle, WA, 2017. [bibtex]
• Muhammad Asif Rana, Ningshi Yao, Shayok Mukhopadhyay, Fumin Zhang, Emilie Warren, and Christine Payne, “Modeling the effect of nanoparticles and the bistability of transmembrane potential in non-excitable cells,” in Proc. 2016 American Control Conference (ACC), 400-405, Boston, MA, 2016. [bibtex]