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Distinguished Achievements: Recipient of the 2023 NSF CAREER Award, 2025 ASME Rising Star

Dr. Subhradeep Roy received his Bachelor's degree in Mechanical Engineering from the Indian Institute of Engineering Science and Technology, Shibpur, in 2010, followed by a Master's from the Indian Institute of Technology Kanpur in 2012. He completed his Ph.D. in Engineering Mechanics at Virginia Tech in 2017. From 2017 to 2019, he worked as a post-doctoral scholar at the Physical Computing Laboratory at Virginia Tech, and between 2019 and 2021, he was a tenure-track assistant professor in the Mechanical Engineering Department at California State University, Northridge. In Fall 2021, he joined the Mechanical Engineering Department at ²ÝÝ®ÊÓƵ (ERAU), Daytona Beach campus, where he continues to serve as a tenure-track assistant professor.

At ERAU, Dr. Roy directs the Complex Dynamical Systems Laboratory, where his research focuses on understanding complex dynamics in both human-made and natural systems. His work blends interdisciplinary and data-driven approaches to study how local interactions shape overall system behavior, with applications in biologically inspired swarms, brain connectivity networks, and traffic and transportation systems.

• 2025 ASME Rising Star
• NSF CAREER Award 2023
• Nominated for the 2022-2023 ERAU COE Outstanding Teaching Award
• Invited speaker at the NSF-funded workshop hosted by UC Irvine’s Center for Integrative
  Movement Sciences.
• Future Technology Leader Award - Engineers’ Council of San Fernando Valley
• Research, Scholarship and Creative Award, CSUN
• Invited speaker at Exemplars in Engineering Research, Department of Research, The
  California State University, Office of the Chancellor
• Manuel Stein Scholarship (Department of Biomedical Engineering & Mechanics, Virginia Tech)
• Virginia Tech Graduate Student Assembly Travel Award
• Conference Travel Award (ASME Dynamic Systems and Control Conference)
• Pratt Presidential Graduate Fellowship, (Engineering Science & Mechanics Program, Virginia Tech)

• (Subhradeep Roy) Pure Portfolio (2025)
• (Subhradeep Roy) Pure Portfolio (2024)
• (Subhradeep Roy) Pure Portfolio (2024)
• (Subhradeep Roy) Pure Portfolio (2023)
• (Subhradeep Roy) Pure Portfolio (2021)
• (Subhradeep Roy) Pure Portfolio (2021)
• (Subhradeep Roy) Pure Portfolio (2020)
• (Subhradeep Roy) Pure Portfolio (2020)
• (Subhradeep Roy) Pure Portfolio (2019)
• (Subhradeep Roy) Pure Portfolio (2019)
• (Subhradeep Roy) Pure Portfolio (2018)
• (Subhradeep Roy) Pure Portfolio (2018)
• (Subhradeep Roy) Pure Portfolio (2018)
• (Subhradeep Roy) Pure Portfolio (2017)
• (Subhradeep Roy) Pure Portfolio (2017)
• (Subhradeep Roy) Pure Portfolio (2017)
• (Subhradeep Roy) Pure Portfolio (2016)
• (Subhradeep Roy) Pure Portfolio (2016)
• (Subhradeep Roy) Pure Portfolio (2015)
• (Subhradeep Roy) Pure Portfolio (1989)
• (Subhradeep Roy) Pure Portfolio (1988)
• (Subhradeep Roy) Pure Portfolio (1988)
• (Subhradeep Roy) Pure Portfolio (1988)
• (Subhradeep Roy) Pure Portfolio (1988)

Journal Publications:

1. Ramlall, P. ²¹²Ô»åÌýRoy, S., 2025. A Data-Driven Framework for Modeling Car-Following Behavior Using Conditional Transfer Entropy and Dynamic Mode Decomposition. Applied Sciences,Ìý15(17), 9700.
   

2. Ramlall, P., Jones, E., ²¹²Ô»åÌýRoy, S., 2025. Development of a Networked Multi-Participant Driving Simulator with Synchronized EEG and Telemetry for Traffic Research. Systems,Ìý13(7), 564.
   

3. Ramlall, P. ²¹²Ô»åÌýRoy, S., 2025. The role of sensory cues in collective dynamics: a study of three-dimensional Vicsek models,ÌýApplied Sciences, 15(3), 1556

4. Lane, D. ²¹²Ô»åÌýRoy, S., 2024. Validating a data-driven framework for vehicular traffic modeling, Journal of Physics: Complexity, 5(2), 025008
5. Roy, S. ²¹²Ô»åÌýLemus, J., 2021. How does the fusion of sensory information from audition and vision impact collective behavior?,ÌýFrontiers in Applied Mathematics and Statistics, p.67.
6. Shea-Blymyer, C., Roy, S. and Jantzen, B., 2021. A General Metric for the Similarity of Both Stochastic and Deterministic System Dynamics. Entropy,Ìý23(9), p.1191.
7. Roy, S., 2020. Quantifying interactions among car drivers using information theory. Chaos,Ìý30(11), p.113125.
8. 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 E,Ìý100(6), p.062415.
9. Roy, S., Howes, K., Müller, R., Butail, S. and Abaid, N., 2019. Extracting interactions between flying bat pairs using model-free methods. Entropy,Ìý21(1), p.42.
10. 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 Engineering,Ìý15(5), p.056031.
11. Roy, S. and Jantzen, B., 2018. Detecting causality using symmetry transformations. Chaos,Ìý28(7), p.075305.
12. Roy, S. and Abaid, N., 2017. Interactional dynamics of same-sex marriage legislation in the United States. Royal Society Open Science,Ìý4(6), p.170130.
13. 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 Matter,Ìý505, pp.74-83.
14. 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 Control,Ìý61(12), pp.4063-4068.
15. Roy, S. and Abaid, N., 2016. Leader-follower consensus and synchronization in numerosity-constrained networks with dynamic leadership. Chaos,Ìý26(11), p.116309.

Peer-reviewed Conference Publications:

1. Ramlall, P., ²¹²Ô»åÌýRoy, S. 2024,ÌýDetermining critical vehicle connectivity in connected autonomous vehicles using information theory, Modeling, Estimation, and Control Conference,ÌýIFAC-PapersOnLine, Volume 58, Issue 28, Pages 995-1000

2. Lane, D. ²¹²Ô»åÌýRoy, S., 2023,ÌýUsing information theory to detect model structure with application in vehicular traffic systems,ÌýModeling, Estimation, and Control Conference, IFAC-PapersOnLine, Volume 56, Issue 3, Pages 367-372

3. Lemus, J. and Roy, S., 2020. 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).
4. Hashimoto, A., Roy, S., Shea-Blymyer, Jantzen, B.,ÌýC., 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). 
5. Beauchene, C.,ÌýRoy, 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.
6. 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 )
7. 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.
8. Roy, S. and Abaid, N.,Ìý2015. Leader-follower consensus modeling representative democracy
   International Conference of Control, Dynamic Systems, and Robotics (CDSR), Paper No. 156