Subhradeep Roy

Assistant Professor
Mechanical Engineering Department
College of Engineering
Subhradeep Roy

Dr. Subhradeep Roy is an Assistant Professor in the Department of Mechanical Engineering at Embry–Riddle Aeronautical University.

Dr. Roy received his Bachelor's and Master's degrees in Mechanical Engineering from the Indian Institute of Engineering Science and Technology, Shibpur in 2010 and the Indian Institute of Technology Kanpur in 2012, respectively, and a Ph.D. in Engineering Mechanics from Virginia Tech in 2017. From 2017-2019 he was a post-doctoral scholar in the Physical Computing Laboratory at Virginia Tech. From 2019-2021, he held a tenure-track assistant professor position in the Mechanical Engineering Department at California State University, Northridge.

His overarching research goal is to study interactions in complex systems by collaborating with researchers from various disciplines. He directs an interdisciplinary 'Complex Dynamical Systems Laboratory' and works on various topics, including bat swarms to vehicular traffic congestion. As a teacher, his interests cover undergraduate and graduate-level mechanics education. He aims to prepare future engineers and equip them with skills to tackle issues related to complex systems by incorporating research into courses and engaging them in his research.

He received the National Science Foundation CAREER Award in 2023.

  • Ph.D. - Doctor of Philosophy in Engineering Mechanics, Virginia Polytechnic Institute and State University

  • ME 800: Dissertation
  • ES 204: Dynamics
  • ME 700: Graduate Thesis
  • ME 400: Vibration & Acoustics

Journal Publications:

  1. Roy, S. and Lemus, J., 2021. How does the fusion of sensory information from audition and vision impact collective behavior?, Frontiers in Applied Mathematics and Statistics, p.67.
  2. Shea-Blymyer, C., Roy, S. and Jantzen, B., 2021. A General Metric for the Similarity of Both Stochastic and Deterministic System Dynamics. Entropy23(9), p.1191.
  3. Roy, S., 2020. Quantifying interactions among car drivers using information theory. Chaos30(11), p.113125.
  4. Roy, S., Shirazi, M.J., Jantzen, B. and Abaid, N., 2019. Effect of visual and auditory sensing cues on collective behavior in Vicsek models. Physical Review E100(6), p.062415.
  5. Roy, S., Howes, K., Müller, R., Butail, S. and Abaid, N., 2019. Extracting interactions between flying bat pairs using model-free methods. Entropy21(1), p.42.
  6. Beauchene, C., Roy, S., Moran, R., Leonessa, A. and Abaid, N., 2018. Comparing brain connectivity metrics: A didactic tutorial with a toy model and experimental data. Journal of Neural Engineering15(5), p.056031.
  7. Roy, S. and Jantzen, B., 2018. Detecting causality using symmetry transformations. Chaos28(7), p.075305.
  8. Roy, S. and Abaid, N., 2017. Interactional dynamics of same-sex marriage legislation in the United States. Royal Society Open Science4(6), p.170130.
  9. Rao, L., Roy, S. and Das, S.L., 2017. Diffusion mediated coagulation and fragmentation based study of domain formation in lipid bilayer membrane. Physica B: Condensed Matter505, pp.74-83.
  10. Roy, S. and Abaid, N., 2016. On the effect of collaborative and antagonistic interactions on synchronization and consensus in networks of conspecific agents. IEEE Transactions on Automatic Control61(12), pp.4063-4068.
  11. Roy, S. and Abaid, N., 2016. Leader-follower consensus and synchronization in numerosity-constrained networks with dynamic leadership. Chaos26(11), p.116309.

Peer-reviewed Conference Publications:

  1. Lemus, J. and Roy, S., 2020, October. The Effect of Simultaneous Auditory and Visual Sensing Cues in a Two-Dimensional Vicsek Model. In American Society of Mechanical Engineers (ASME) Dynamic Systems and Control Conference (Vol. 84287, p. V002T30A005).
  2. Hashimoto, A., Roy, S., Shea-Blymyer, Jantzen, B., C., Abaid, N. 2018, September. Differentiation of Collective Behavior Based on Automated Discovery of Dynamical Kinds. In American Society of Mechanical Engineers (ASME) Dynamic Systems and Control Conference (Vol. 51913, p. V003T30A008). 
  3. Beauchene, C., Roy, S., Simon, J.,  Leonessa, A.,and Abaid, N., 2017, October. Closed-Loop Control of the Frequency Response of the Virtual Brain Model. In American Society of Mechanical Engineers (ASME)  Dynamic Systems and Control Conference (Vol. 58271, p. V001T37A001). American Society of Mechanical Engineers.
  4. Roy, S. and Abaid, N., 2016, Data-based method for extracting navigational leadership between two bats
    Proceedings of XXIV International Congress of Theoretical and Applied Mechanics
    (ICTAM )
  5. Roy, S. and Abaid, N., 2015, October. Consensus of conspecific agents via collaborative and antagonistic interactions. In American Society of Mechanical Engineers (ASME) Dynamic Systems and Control Conference (Vol. 57267, p. V003T37A004). American Society of Mechanical Engineers.
  6. Roy, S. and Abaid, N., 2015. Leader-follower consensus modeling representative democracy
    International Conference of Control, Dynamic Systems, and Robotics (CDSR), Paper No. 156