Mathematical and Computational Biology (MCB) Research Group

Department of Mathematics

The Mathematical and Computational Biology (MCB) Research Group is a newly established and growing research group that collaborates with many scientists internationally. To bridge mathematics and life science disciplines, building the capacity of researchers to use practical and relevant real life information during mathematical modeling development and numerical investigations. One of the major goals of MCB is to understand different biological phenomena, e.g. pattern formation, cardiac dynamics, ecological competition, and epidemic disease dynamics, etc. using mathematical and computational tools. 

Group Members:


  • Professor Danielle Hilhorst, Université Paris-Saclay, France
  • Professor Toshiyuki Ogawa, Meiji University, Japan
  • Professor Je-Chiang Tsai, National Tsing Hua University, Taiwan 
  • Professor Malay Banerjee, IIT Kanpur, India
  • Professor M. Haider Ali Biswas, Khulna University, Bangladesh
  • Professor Kalyan Das, NIFTEM, India
  • Dr. Simone Scacchi, University of Milan, Italy
  • Dr. Jan Elias, Boehringer Ingelheim, Germany
  • Dr. Shahabuddin Sarwardi, Aliah University, India
  • Dr. A K M Nazimuddin, East West University, Bangladesh

Recent Publications:

  • M. Osman Gani, M. Humayun Kabir, and Toshiyuki Ogawa, Inhibitor-Induced Wavetrains and Spiral Waves in an Extended FitzHugh-Nagumo Model of Nerve Cell Dynamics, Bulletin of Mathematical Biology 84:145 (2022),
  • A. K. M. Nazimuddin, M. Humayun Kabir, M. Osman Gani, Spiral patterns and numerical bifurcation analysis in a three-component Brusselator model for chemical reactions, Mathematics and Computers in Simulation 203 (2023) 577–591,

  • A. K. M. Nazimuddin, M. Humayun Kabir, M. Osman Gani, Oscillatory wave patterns and spiral breakup in the Brusselator model using numerical bifurcation analysis, Journal of Computational Science 62, (2022), 101720,

  • M. Humayun Kabir, M. Osman Gani, Numerical bifurcation analysis and pattern formation in a minimal reaction-diffusion model for vegetation, Journal of Theoretical Biology 536, 2022, 1100997,