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Musad Haque

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AI Scientist specializing in spacecraft autonomy; swarming; multiagent systems
240-592-0629
  • PhD, Electrical and Computer Engineering
    2010, Georgia Institute of Technology
  • MS, Electrical and Computer Engineering
    2008, Georgia Institute of Technology
  • BS, Electrical Engineering
    2006, University of Texas at Arlington

I study distributed artificial intelligence, particularly its application to space, from Earth science to planetary exploration. My research focuses on strategic coordination, onboard algorithms, and constellation design considerations, such as heterogeneity and team compositions. I work on the Double Asteroid Redirection Test (DART) mission, NASA’s first test mission for planetary defense. I’m currently a member of DART’s Integration and Testing team, having previously been a part of the mission’s Autonomy, Fault Management, and SMART Nav/GNC teams. My background is in swarm robotics. As part of that training, I’ve researched how to transition collective behaviors found in nature to artificial, networked systems. The swarming work has appeared in leading venues, such as the IEEE Transactions on Automatic Control, Automatica, European Conference on AI, and the Conference on Intelligent Robots and Systems. I was the PI of an Office of Naval Research project investigating self-organizing systems. My current research projects range from providing hyper-local situational awareness in the aftermath of disasters, predicting the outbreak of waterborne diseases, to the coordination of sensor platforms. A common thread in my work is an interest to connect novel remotely-sensed products, analytics, and multiagent systems.

Notable Awards and Leadership

Year(s) Description
2021 APL Sabbatical Fellowship and Professorship
2017-2020 Mentor ASPIRE High School Interns APL STEM Program Management Office
2019 AGU
2017 IEEE

Scholarly Publications

A High-Resolution Earth Observations and Machine Learning-Based Approach to Forecast Waterborne Disease Risk in Post-Disaster Settings

Climate, 2022
Farah Nusrat, Musad Haque, Derek Rollend, Gordon Christie, Ali S. Akanda, (2022), A High-Resolution Earth Observations and Machine Learning-Based Approach to Forecast Waterborne Disease Risk in Post-Disaster Settings, Climate

Continuum: A New Observing Strategies-Based Framework for Hyper-Local Situational Awareness

American Geophysical Union (AGU), 2020
Musad Haque and Derek Rollend and Sarah Withee and Gordon Christie and Ivan Papusha and Romina Nikoukar and Michelle Chen and Farah Nusrat and Ali S Akanda, (2020), Continuum: A New Observing Strategies-Based Framework for Hyper-Local Situational Awareness, American Geophysical Union , https://ui.adsabs.harvard.edu/abs/2020AGUFMIN019..10H/abstract

Waterborne Disease Outbreaks in the Post-Disaster Scenario: Can High-Resolution Earth Observations and Smallsat Imagery Enhance Cholera Forecasting?

American Geophysical Union (AGU), 2020
Farah Nusrat and Ali S Akanda and Musad Haque and Derek Rollend and Gordon Christie, (2020), Waterborne Disease Outbreaks in the Post-Disaster Scenario: Can High-Resolution Earth Observations and Smallsat Imagery Enhance Cholera Forecasting?, American Geophysical Union , https://ui.adsabs.harvard.edu/abs/2020AGUFMGH0150006N/abstract

A Swarming-based New Observing Strategy using Intelligent, Heterogeneous Satellites for Disasters and Public Health Emergencies

American Geophysical Union (AGU), 2019
Musad Haque and Derek Rollend and Sarah Withee and Gordon Christie and Ivan Papusha and Romina Nikoukar and Michelle Chen and Farah Nusrat and Ali S Akanda, (2019), Continuum: A New Observing Strategies-Based Framework for Hyper-Local Situational Awareness, American Geophysical Union , https://ui.adsabs.harvard.edu/abs/2019AGUFMIN14A..06H/abstract

Onboard Artificial Intelligence and Machine Learning for Enhancing Smallsat Constellations

IAC/IAF Space Operations Symposium, 2019
Christopher Heistand and Amy Alford and Elizabeth Bathrick and Dmitriy Bekker and Joshua Broadwater and Adam Byerly and Christopher Gifford and Musad Haque and Amy Haufler and Karl Hibbitts and Michael Malinowski and Justin Thomas and Rebecca Williams and Kiley Yeakel and Michelle Chen, (2019), Onboard Artificial Intelligence and Machine Learning for Enhancing Smallsat Constellations, IAC/IAF Space Operations Symposium , https://iafastro.directory/iac/paper/id/52274/abstract-pdf/IAC-19,B6,IP,4,x52274.brief.pdf?2019-04-22.17:05:07

Small-Body Maneuvering Autonomous Real-Time Navigation (SMART NAV): Guiding A Spacecraft to Didymos for NASA’s Double Asteroid Redirection Test (DART)

Advances in the Astronautical Sciences: Guidance, Navigation, and Control Conference, 2018
Michelle H. Chen and Justin A. Atchison and David J. Carrelli and Peter S. Ericksen and Zachary J. Fletcher and Musad A. Haque and Stephen N. Jenkins and Mark A. Jensenius and Nishant L. Mehta and Timothy C. Miller and Daniel O’Shaughnessy and Carolyn A. Sawyer and Emil A. Superfin and Richard D. Tschiegg and Cheryl L. Reed, (2018), Small-Body Maneuvering Autonomous Real-Time Navigation (SMART NAV): Guiding A Spacecraft to Didymos for NASA’s Double Asteroid Redirection Test (DART), Advances in the Astronautical Sciences: Guidance, Navigation, and Control Conference , http://www.univelt.com/linkedfiles/v164%20Contents.pdf

Communication Model–Task Pairing in Artificial Swarm Design

IEEE Robotics and Automation Letters, 2018
Musad Haque, Connor McGowan, Yifan Guo, Douglas Kirkpatrick, Julie A. Adams, (2018), Communication ModeltextendashTask Pairing in Artificial Swarm Design, IEEE Robotics and Automation Letters, 3, 4, 3073--3080, https://doi.org/10.1109/lra.2018.2849562

Efficient topological distances and comparable metric ranges

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
Musad Haque, Waseem Abbas, Abigail Rafter, Julie A. Adams, (2017), Efficient topological distances and comparable metric ranges, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), https://doi.org/10.1109/iros.2017.8206160

Analysis of swarm communication models

European Conference on Artificial Intelligence, 2016
Musad Haque and Christopher Ran and Electa Baker and Douglas Kirkpatrick and Julie A. Adams, (2016), Analysis of Swarm Communication Models, Proc. of the 22nd European Conference on Artificial Intelligence, 1716--1717, https://doi.org/10.3233/978-1-61499-672-9-1716

Efficient Foraging Strategies in Multi-Agent Systems Through Curve Evolutions

IEEE Transactions on Automatic Control, 2014
Musad Haque, Amir Rahmani, Magnus Egerstedt, Anthony Yezzi, (2014), Efficient Foraging Strategies in Multi-Agent Systems Through Curve Evolutions, IEEE Transactions on Automatic Control, 59, 4, 1036--1041, https://doi.org/10.1109/tac.2013.2281877

Multilevel Coalition Formation Strategy for Suppression of Enemy Air Defenses Missions

Journal of Aerospace Information Systems, 2013
M. Haque, M. Egerstedt, A. Rahmani, (2013), Multilevel Coalition Formation Strategy for Suppression of Enemy Air Defenses Missions, Journal of Aerospace Information Systems, 10, 6, 287--296, https://doi.org/10.2514/1.53860

Containment in leader–follower networks with switching communication topologies

Automatica, 2011
G. Notarstefano, M. Egerstedt, M. Haque, (2011), Containment in leadertextendashfollower networks with switching communication topologies, Automatica, 47, 5, 1035--1040, https://doi.org/10.1016/j.automatica.2011.01.077

Biologically motivated shape optimization of foraging fronts

Proceedings of the 2011 American Control Conference, 2011
Musad Haque, Amir Rahmani, Magnus Egerstedt, Anthony Yezzi, (2011), Biologically motivated shape optimization of foraging fronts, Proceedings of the 2011 American Control Conference, https://doi.org/10.1109/acc.2011.5991167

Biologically inspired confinement of multi-robot systems

International Journal of Bio-Inspired Computation, 2011
Musad A. Haque, Amir R. Rahmani, Magnus B. Egerstedt, (2011), Biologically inspired confinement of multi-robot systems, International Journal of Bio-Inspired Computation, 3, 4, 213, https://doi.org/10.1504/ijbic.2011.041145

Optimization of foraging multi-agent system front: A flux-based curve evolution method

2011 IEEE International Conference on Robotics and Biomimetics, 2011
Musad Haque, Amir Rahmani, Magnus Egerstedt, Anthony Yezzi, (2011), Optimization of foraging multi-agent system front: A flux-based curve evolution method, 2011 IEEE International Conference on Robotics and Biomimetics, https://doi.org/10.1109/robio.2011.6181395

Sustainable Group Sizes for Multi-Agent Search-and-Patrol Teams

Mathematical Theory of Networks and Systems (MTNS), 2010
Musad A. Haque and Magnus Egerstedt and Clyde F. Martin, (2010), Decentralized formation selection mechanisms inspired by foraging bottlenose dolphins, Proc. of the 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS)

Biologically Inspired Coalition Formation of Multi-Agent Systems

Autonomous Agents and Multi-agent Systems (AAMAS), 2010
Musad Haque and Amir Rahmani and Magnus Egerstedt, (2010), Biologically Inspired Coalition Formation of Multi-Agent Systems, Proc. of 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), 1427--1428, https://www.ifaamas.org/Proceedings/aamas2010/pdf/02%20Extended%20Abstracts/Red/R-30.pdf

Biologically inspired heterogeneous multi-agent systems

2010
(2010), Biologically inspired heterogeneous multi-agent systems

Geometric foraging strategies in multi-agent systems based on biological models

49th IEEE Conference on Decision and Control (CDC), 2010
Musad Haque, Amir Rahmani, Magnus Egerstedt, (2010), Geometric foraging strategies in multi-agent systems based on biological models, 49th IEEE Conference on Decision and Control (CDC), https://doi.org/10.1109/cdc.2010.5717805

Coalition formation in multi-agent systems based on bottlenose dolphin alliances

2009 American Control Conference, 2009
Musad A. Haque, Magnus Egerstedt, (2009), Coalition formation in multi-agent systems based on bottlenose dolphin alliances, 2009 American Control Conference, https://doi.org/10.1109/acc.2009.5160473

A Hybrid, Multi-Agent Model of Foraging Bottlenose Dolphins

IFAC Proceedings Volumes, 2009
Musad Haque, Amir Rahmani, Magnus Egerstedt, (2009), A Hybrid, Multi-Agent Model of Foraging Bottlenose Dolphins, IFAC Proceedings Volumes, 42, 17, 262--267, https://doi.org/10.3182/20090916-3-es-3003.00046

Rendezvous with multiple, intermittent leaders

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009
G. Notarstefano, M. Egerstedt, M. Haque, (2009), Rendezvous with multiple, intermittent leaders, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, https://doi.org/10.1109/cdc.2009.5400560

Decentralized formation selection mechanisms inspired by foraging bottlenose dolphins

Mathematical Theory of Networks and Systems (MTNS), 2008
Musad A. Haque and Magnus Egerstedt, (2008), Decentralized formation selection mechanisms inspired by foraging bottlenose dolphins, 2008 Mathematical Theory of Networks and Systems (MTNS), https://scholar.lib.vt.edu/MTNS/Papers/151.pdf

First-order, networked control models of swarming silkworm moths

2008 American Control Conference, 2008
Musad A. Haque, Magnus Egerstedt, Clyde F. Martin, (2008), First-order, networked control models of swarming silkworm moths, 2008 American Control Conference, https://doi.org/10.1109/acc.2008.4587085