Prof. Margaliot is a leading researcher at Tel Aviv University with notable contributions in systems biology, control theory, and neural networks. He co-authored several papers on the Ribosome Flow Model and has extensively worked on contraction theory, switched systems, Boolean networks, and compound matrices. A recipient of the Dean’s Award for Teaching Excellence and an incumbent of the Systems and Control Chair, he brings over 30 years of academic and research experience across engineering, biology, and computational modelling. 

After his postdoc, he served for two years in CUTe Systems as a scientific consultant and joined the School of Electrical Engineering as a lecturer to become a full Professor in 2014. Prof. Margaliot has courses on Artificial neural networks, Computer architecture, Pattern recognition, Data structures and algorithms, Control  theory and Systems biology at Tel Aviv University for more than 20 years.

Dr. Arvind Kumar Gupta is an Associate Professor in the Department of Mathematics at the Indian Institute of Technology (IIT) Ropar. He earned his M.Sc. in 2001 and Ph.D. in 2007 from IIT Roorkee. His academic career began as an Assistant Professor at BITS Pilani, where he served from 2006 to 2010, before joining IIT Ropar in 2010.

Dr. Gupta was also a CAS Fellow at the University of Science & Technology of China, Hefei, where he conducted research visits in 2013 and 2014. His research interests lie in the mathematical modeling of traffic flow, asymmetric simple exclusion processes, lattice hydrodynamics, cellular automata, ribosome flow modeling, and machine learning approaches to mathematical modeling.

His work focuses on developing and analyzing mathematical models to study complex dynamical systems, including traffic congestion, multi-particle transport, and intracellular transport. He also explores the integration of stochastic processes and partial differential equations with machine learning to enhance predictive modeling and deepen insights into real-world systems.