Ph.D. in Aerospace Engineering, University of Maryland (2012)
M. Eng. in Systems Engineering, Cornell University (2005)
B.E. in Mechanical Engineering, Delhi University, New Delhi, India (2000)
Research Interests
Dynamical systems
Robotics
Complex systems
Collective behavior
Bioinspired autonomy
Pattern recognition
Selected Projects
Human-assisted robotic sampling of aquatic microorganisms, funded by Illinois-Indiana Sea Grant
Cues and actions for efficient nonverbal human-robot communication, funded by National Science Foundation
Agent-based Modeling Toward Effective Testing and Contact-tracing During the COVID-19 Pandemic, funded by National Science Foundation
Selected Publications
Krzysiak and S. Butail. Information based control of robots in search and rescue missions with human prior knowledge. IEEE Transactions on Human-Machine Systems, 52(1), 52-63, 2022
Truszkowska, M. Thakore, L. Zino, S. Butail, E. Caroppo, Z.-P. Jiang, A. Rizzo, and M. Porfiri. Designing the safe reopening of US towns through high-resolution agent-based modeling. Advanced Theory and Simulations, 4(9), 202100157, 2021
Sathish, M. Norrlof, M. Orkisz, and S. Butail. A Transfer Entropy Based Approach for Fault Isolation in Industrial Robots. ASME Letters in Dynamic Systems and Control, 2(1), 011009, 2021.
Sathish, M. Orkisz, M. Norrlof, and S. Butail. Data-driven gearbox failure detection in industrial robots. IEEE Transactions on Industrial Informatics, 16(1), 193-201, 2020.
Butail and M. Porfiri. Detecting switching leadership in collective motion. Chaos: An Interdisciplinary Journal of Nonlinear Science 29, 011102, 2019
Roy, K. Howes, R. Muller, S. Butail and N. Abaid. Extracting interactions between flying bat pairs using model-free methods. Entropy, 21(1), 2019
M. Jorjafki, B. J. Sagarin, and S. Butail. Drawing power of virtual crowds. Journal of the Royal Society Interface, 15 (145), 2018
Mwaffo, S. Butail, and M. Porfiri. Analysis of pairwise interactions in a maximum likelihood sense to identify leaders in a group. Frontiers in Robotics and AI, 4, 2017
Macri, D. Neri, T. Ruberto, S. Butail, V. Mwaffo and M. Porfiri. Three-dimensional scoring of zebrafish behavior unveils biological phenomena hidden by two-dimensional analyses. Scientific Reports 7(1), 2017
Mwaffo, S. Butail, and M. Porfiri. In-silico experiments of zebrafish behaviour: modelling swimming in three dimensions. Scientific Reports 4(39877), 2017
Butail, V. Mwaffo, and M. Porfiri. Model-free information-theoretic approach to infer leadership in pairs of zebrafish. Physical Review E, 93(4) 042411, 2016