Sachit Butail, Ph.D.

Title: Associate Professor
Department: Mechanical Engineering
Office Location: EB 148
Office Phone: 815-753-9987
Email: sbutail@niu.edu

Education

  • 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

Contact Us

College of Engineering and Engineering Technology
Engineering Building
590 Garden Rd, DeKalb, IL
815-753-1442
ceet@niu.edu
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