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Roland Bouffanais

Associate Professor and Director of Graduate Studies

Website: http://people.sutd.edu.sg/acg
Telephone: +65 6303 6667
Room Number: 3.301.03
Research Areas:
Mechanical Engineering

Pillar / Cluster: Engineering Product Development

Roland Bouffanais (P.I.) Applied Complexity Group

Ph.D. Swiss Federal Institute of Technology, Lausanne (EPFL)   Curriculum Vitae


Roland Bouffanais is an Associate Professor in the Engineering & Product Development (EPD) Pillar at the Singapore University of Technology and Design (SUTD). Dr. Bouffanais is also serving as Director of Graduate Studies, overseeing all Masters and Doctorate programs at SUTD. He has been a Postdoctoral Fellow and Associate at MIT, and still is a Research Associate with the Department of Mechanical Engineering at MIT.

Research Interests

My research group – the Applied Complexity Group – focuses on both fundamental and applied interdisciplinary problems rooted in the field of complexity. Depending on the nature of the problem, experiments, theory and computations are considered and practiced.

We investigate complexity in engineering, biological and physical systems with a particular emphasis on the study of dynamical processes in relation with emergent collective behaviors.

Awards & Achievements

Selected Recent Publications


  • D. Mateo, N. Horsevad, V. Hassani, M. Chamanbaz, and R. Bouffanais, “Optimal network topology for responsive collective behavior,” Science Advances, 2019. doi:10.1126/sciadv.aau0999, [Download PDF]


  • F. Vallegra, D. Mateo, G. Tokić, R. Bouffanais, and D. K. P. Yue, “Gradual collective upgrade of a swarm of autonomous buoys for dynamic ocean monitoring,” in OCEANS 2018 MTS/IEEE Charleston, Charleston, S.C., 2018, p. 1–7. doi:10.1109/OCEANS.2018.8604642, [Download PDF]
  • A. G. Dharmawan, P. Xavier, D. Anderson, K. B. Perez, H. H. Hariri, G. S. Soh, A. Baji, R. Bouffanais, S. Foong, H. Y. Low, and K. L. Wood, “A bio-inspired miniature climbing robot with bilayer dry adhesives: design, modeling, and experimentation,” in ASME 2018 international design engineering technical conferences and computers and information in engineering conference, 2018, p. V05BT07A036. doi:10.1115/DETC2018-85294, [Download PDF]
  • B. M. Zoss, D. Mateo, Y. K. Kuan, G. Tokić, M. Chamanbaz, L. Goh, F. Vallegra, R. Bouffanais, and D. K. P. Yue, “Distributed system of autonomous buoys for scalable deployment and monitoring of large waterbodies,” Autonomous Robots, vol. 42, p. 1669–1689, 2018. doi:10.1007/s10514-018-9702-0, [Download PDF]
  • J. J. J. Gillissen, A. Vilquin, H. Kellay, R. Bouffanais, and D. K. P. Yue, “A space-time integral minimisation method for the reconstruction of velocity fields from measured scalar fields,” J. Fluid Mech., vol. 854, p. 348–366, 2018. doi:10.1017/jfm.2018.559, [Download PDF]
  • M. Komareji, Y. Shang, and R. Bouffanais, “Consensus in topologically interacting swarms under communication constraints and time-delays,” Nonlinear Dyn., vol. 93, p. 1287–1300, 2018. doi:10.1007/s11071-018-4259-1,[Download PDF]
  • A. Manivannan, Q. W. Yow, R. Bouffanais, and A. Barrat, “Are the different layers of a social network conveying the same information?,” EPJ Data Science, vol. 7, p. 34, 2018. doi:10.1140/epjds/s13688-018-0161-9, [Download PDF]
  • T. G. Karimpanal and R. Bouffanais, “Experience replay using transition sequences,” Frontiers in Neurorobotics, vol. 12, p. 32, 2018. doi:10.3389/fnbot.2018.00032, [Download PDF]
  • M. Malik, M. Skote, and R. Bouffanais, “Growth mechanisms of perturbations in boundary layers over a compliant wall,” Phys. Rev. Fluids, vol. 3, iss. 1, p. 13903, 2018. doi:10.1103/PhysRevFluids.3.013903, [Download PDF]


  • D. Mateo, Y. K. Kuan, and R. Bouffanais, “Effect of correlations in swarms on collective response,” Sci. Rep., vol. 7, iss. 1, p. 10388, 2017. doi:10.1038/s41598-017-09830-w, [Download PDF]
  • M. Chamanbaz, G. Notarstefano, and R. Bouffanais, “A randomized distributed ellipsoid algorithm for uncertain feasibility problems,” in IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 2017. doi:10.1109/CDC.2017.8263835, [Download PDF]
  • M. Chamanbaz, G. Notarstefano, and R. Bouffanais, “Randomized constraints consensus for distributed robust linear programming,” IFAC PapersOnline, vol. 50, iss. 1, p. 4973–4978, 2017. doi:10.1016/j.ifacol.2017.08.763, [Download PDF]
  • M. Chamanbaz, D. Mateo, B. Zoss, G. Tokić, E. Wilhelm, R. Bouffanais, and D. K. P. Yue, “Swarm-enabling technology for multi-robot systems,” Front. Robot. AI, vol. 4, p. 12, 2017. doi:10.3389/frobt.2017.00012, [Download PDF]