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Roland Bouffanais

Associate Professor

Telephone: +65 6303 6667
Room Number: 3.301.03
Research Areas:
Mechanical Engineering

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

  • Best Paper Award at the ASME-IDETC 2018
  • Editorial Board Member of Computers & Fluids (Elsevier)
  • IMACS 2008 Most Successful Papers Award, in App. Num. Math, 2009
  • IBM Research Prize for Computational Sciences: “Exceptional quality in Doctoral thesis work, specifically, in the originality of method of calculation used and in the scientific results obtained”, 2008
  • Finalist EPFL Doctorate Award
  • ERCOFTAC Da Vinci Award: “Best European Doctoral Thesis on Flow, Turbulence and Combustion”: Silver medal, 2007

Latest Publications

  • Optimal Network Topology for Responsive Collective Behavior
    Mateo D, Horsevad N, Hassani V, Chamanbaz M and Bouffanais R
    Science Advances 5, eaau0999, 2019. [pdf] [doi]
  • Data assimilation method to de-noise and de-filter particle image velocimetry data
    Gillissen JJJ, Bouffanais R and Yue DKP
    J. Fluid Mech. 877, 196-213, 2019. [pdf] [doi]
  • Hydrodynamic object identification with artificial neural models
    Lakkam S, Balamurali BT and Bouffanais R
    Scientific Reports 9, 11242, 2019. [pdf] [doi]
  • Self-organizing maps for storage and transfer of knowledge in reinforcement learning
    Karimpanal TG and Bouffanais R
    Adaptive Behavior 27, 111-126, 2019. [pdf] [doi]
  • Decentralized Multi-Floor Exploration by a Swarm of Miniature Robots Teaming with Wall-Climbing Units (Received Outstanding Paper Award)
    Kit JL, Dharmawan AG, Mateo D, Foong S, Soh GS, Bouffanais R and Wood KL
    IEEE 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), New Brunswick, NJ, 1-6, 2019. [pdf] [doi]
  • Robust Stabilization of Resource Limited Networked Control Systems Under Denial-of- Service Attack
    Tripathy NS, Chamanbaz M and Bouffanais R
    IEEE 58th Annual Conference on Decision and Control (CDC), Nice, France, 1-6, 2019. [pdf]
  • Design and Analysis of A Miniature Two-Wheg Climbing Robot with Robust Internal and External Transitioning Capabilities
    Koh DCY, Dharmawan AG, Hariri HH, Soh GS, Foong S, Bouffanais R, Low HY and Wood KL
    2019 International Conference on Robotics and Automation (ICRA), Montréal, QC, 9740-9746, 2019. [pdf] [doi]