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Musad Haque
Musad Haque
Johns Hopkins University Applied Physics Lab, Vanderbilt University, Georgia Institute of Technology
Verified email at jhuapl.edu - Homepage
Title
Cited by
Cited by
Year
Containment in leader–follower networks with switching communication topologies
G Notarstefano, M Egerstedt, M Haque
Automatica 47 (5), 1035-1040, 2011
2582011
Biologically inspired confinement of multi-robot systems
MA Haque, AR Rahmani, MB Egerstedt
International Journal of Bio-Inspired Computation 3 (4), 213-224, 2011
462011
A hybrid, multi-agent model of foraging bottlenose dolphins
M Haque, A Rahmani, M Egerstedt
IFAC Proceedings Volumes 42 (17), 262-267, 2009
242009
Multilevel coalition formation strategy for suppression of enemy air defenses missions
M Haque, M Egerstedt, A Rahmani
Journal of Aerospace Information Systems 10 (6), 287-296, 2013
192013
Decentralized formation selection mechanisms inspired by foraging bottlenose dolphins
MA Haque, MB Egerstedt
Georgia Institute of Technology, 2008
172008
First-order, networked control models of swarming silkworm moths
MA Haque, M Egerstedt, CF Martin
2008 American Control Conference, 3798-3803, 2008
132008
Efficient foraging strategies in multi-agent systems through curve evolutions
M Haque, A Rahmani, M Egerstedt, A Yezzi
IEEE Transactions on Automatic Control 59 (4), 1036-1041, 2013
122013
Geometric foraging strategies in multi-agent systems based on biological models
M Haque, A Rahmani, M Egerstedt
49th IEEE Conference on Decision and Control (CDC), 6040-6045, 2010
122010
Rendezvous with multiple, intermittent leaders
G Notarstefano, M Egerstedt, M Haque
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009
102009
Coalition formation in multi-agent systems based on bottlenose dolphin alliances
MA Haque, M Egerstedt
2009 American Control Conference, 3280-3285, 2009
102009
Analysis of Swarm Communication Models
M Haque, C Ren, E Baker, D Kirkpatrick, JA Adams
European Conference on Artificial Intelligence, 1716-1717, 2016
92016
Biologically inspired coalition formation of multi-agent systems
MA Haque, AR Rahmani, MB Egerstedt
Georgia Institute of Technology, 2010
82010
Analysis of biologically inspired swarm communication models
M Haque, E Baker, C Ren, D Kirkpatrick, JA Adams
Advances in Hybridization of Intelligent Methods: Models, Systems and …, 2018
62018
Biologically inspired heterogeneous multi-agent systems
MA Haque
Georgia Institute of Technology, 2010
62010
Biologically motivated shape optimization of foraging fronts
M Haque, A Rahmani, M Egerstedt, A Yezzi
Proceedings of the 2011 American Control Conference, 4143-4148, 2011
52011
Sustainable group sizes for multi-agent search-and-patrol teams
M Haque, M Egerstedt, C Martin
GEORGIA INST OF TECH ATLANTA SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING, 2010
52010
A high-resolution earth observations and machine learning-based approach to forecast waterborne disease risk in post-disaster settings
F Nusrat, M Haque, D Rollend, G Christie, AS Akanda
Climate 10 (4), 48, 2022
32022
Efficient Topological Distances and Comparable Metric Ranges
M Haque, W Abbas, A Rafter, JA Adams
IEEE/RSJ Intl. Conference on Intelligent Robots and Systems, 2017
22017
Waterborne Disease Outbreaks in the Post-Disaster Scenario: Can High-Resolution Earth Observations and Smallsat Imagery Enhance Cholera Forecasting?
F Nusrat, AS Akanda, M Haque, D Rollend, G Christie
AGU Fall Meeting Abstracts 2020, GH015-0006, 2020
12020
Continuum: A New Observing Strategies-Based Framework for Hyper-Local Situational Awareness
M Haque, D Rollend, S Withee, G Christie, I Papusha, R Nikoukar, ...
AGU Fall Meeting Abstracts 2020, IN019-10, 2020
12020
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