Vipin P Veetil

Indian Institute of Management Kozhikode

Vipin is an Assistant Professor in the Economics Area of the Indian Institute of Management Kozhikode. Vipin received his PhD from George Mason University and did his post-doctoral work at University of Paris 1. He specializes in using agent-based models to study macroeconomic questions. For the last decade or so he has been developing a model in which millions of firms make decisions within a large supply-chain. He has applied this model to estimate the cost of the COVID lockdowns.

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Leonidov Andrey Vladimirovich

Lebedev Physical Institute of the Russian Academy of Sciences

Andrey Vladimirovich Leonidov is a theoretical physicist specializing in high-energy physics and quantum chromodynamics, currently a Professor at the P.N. Lebedev Physical Institute (LPI) of the Russian Academy of Sciences. He holds a Doctor of Science degree and focuses his research on strong interactions and relativistic hydrodynamics. In recent years, his work has expanded into the field of econophysics, applying methods of theoretical physics to complex economic systems. He has a prolific publication history and actively contributes to both the academic community at LPI and the Moscow Institute of Physics and Technology (MIPT).

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Rakesh R Warier

National Institute of Technology Calicut

Rakesh is an Assistant Professor at the Department of Electrical Engineering at NIT Calicut. He received his PhD from IIT Bombay in Systems and Control Engineering. He works extensively in the area of multi-agent simulation particularly with robotic agents. He is the recipient of several major grants from Government of India including a recent MoES Grant on Deep Ocean Mission.

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Neha Karanjkar

Indian Institute of Technology Goa

Neha Karanjkar is an Assistant Professor in the School of Mathematics and Computer Science at the Indian Institute of Technology (IIT) Goa. Her research primarily focuses on the modeling, simulation, and optimization of discrete-event systems, with applications in computer system design, digital twins, and retail. She completed her M.Tech and Ph.D. in Electrical Engineering at IIT Bombay, and obtained her B.E. in Electronics and Telecommunications Engineering from Goa University.

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Ayush Chopra (Online)

Massachusetts Institute of Technology

Ayush Chopra is a PhD student at the MIT Media Lab. His research focuses on multi-agent simulations and distributed computation, with publications in AAMAS, CVPR, and BMJ. He holds 25 patents, multiple best paper awards, and his work has been deployed globally. Previously, he was an engineer at Adobe, where he received the Outstanding Young Engineer Award for his work on collaborative systems.

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Robert Axtell (Online)

George Mason University

Rob is a Professor at the Department of Computational and Data Science in George Mason University. He developed one of the earliest large-scale models of firm dynamics with 120 millions artificial workers making autonomous decisions in silico. Rob has solved many real-world problems using agent-based models including the reduction of tick sizes in NASDAQ and allocation of workers in Disney Land. He has been associated with MIT, Oxford, and the Santa Fe Institute in various capacities.

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Stanislav Radionov

P.N. Lebedev Physics Institute of the Russian Academy of Sciences

Stanislav Radionov is a researcher at the P. N. Lebedev Physics Institute of the Russian Academy of Sciences, where he contributes to cutting-edge investigations in modern physics. His work spans experimental and theoretical approaches, with a strong focus on advancing the understanding of complex physical phenomena and developing methods that support scientific innovation. He actively collaborates with national and international research groups, contributing to projects that integrate advanced instrumentation, data analysis, and interdisciplinary perspectives to address key challenges in contemporary physics research.

N. V. Trusov

Moscow Institute of Physics and Technology

N. V. Trusov is a Fellow at the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow. His research focuses on advanced problems in computer science, systems analysis, and control theory. He has contributed to several national and international research initiatives, with work spanning computational modelling, algorithmic methods, and applied control systems. Dr. Trusov continues to advance interdisciplinary approaches that bridge theoretical insights with practical technological applications.

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Bill Tulloh

RMIT University in Melbourne

Bill Tulloh is a Ph.D. candidate in economics at RMIT University in Melbourne, Australia. His research interests include Austrian economics, complexity theory, experimental economics, and market design. In the early 1990s he was the co-founder of the Agorics Project with Don Lavoie that explored the intersection of markets and computation, including early efforts at agent-based modeling. He spent more than thirties years in the software industry where he was one of the pioneers of smart contracts. He is currently working with Kevin McCabe at the Interdisciplinary Center for Economic Science at George Mason University on bTree, an online platform for agent-based and human-subject experiments.

Varun Ramamohan

Indian Institute of Technology Delhi

Varun Ramamohan is an Associate Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Delhi and a member of the Production and Industrial Engineering group. His research focuses on probabilistic modeling, stochastic simulation, and optimization methodologies for complex decision-making under uncertainty. A significant portion of his work applies these methods to healthcare delivery systems, biomedical systems, and health economics. His research also spans applications of machine learning and optimization in domains such as finance, airport operations, and manufacturing automation.

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