Prof. Jagannath Mondal is an Associate Professor at Tata Institute of Fundamental Research Hyderabad working in computational chemistry and biophysics. His research uses classical and statistical mechanics together with computer simulations to study biochemical and biophysical systems. He previously worked as a postdoctoral researcher at Columbia University in the group of Bruce J. Berne. He obtained his PhD from University of Wisconsin–Madison under Arun Yethiraj. He completed his M.Sc. from Indian Institute of Technology Kanpur and his B.Sc. (Chemistry Hons.) from Ramakrishna Mission Vidyamandira.
Prof. Debashree Ghosh is a theoretical chemist and Professor at the Indian Association for the Cultivation of Science, Kolkata. Her research focuses on developing advanced quantum chemical methods and polarizable force-field frameworks to study excited-state processes and photophysics in complex chemical and biological systems. She has made significant contributions to understanding strongly correlated electronic systems and solvent effects in spectroscopy. She is a recipient of several prestigious honors, including the Annual Medal of the International Academy of Quantum Molecular Science (2021), the SERB-POWER Fellowship (2022), and the Walter Kohn Prize from the International Centre for Theoretical Physics (2022).
Nagasuma Chandra is an Indian structural biologist, biochemist and a professor at the department of biochemistry of the Indian Institute of Science. She is known for her studies on Mycobacterium tuberculosis. The Department of Biotechnology of the Government of India awarded her the National Bioscience Award for Career Development, one of the highest Indian science awards, for her contributions to biosciences in 2008.
Prof. M. S. Madhusudhan is a Professor at the Indian Institute of Science Education and Research Pune, working at the interface of biology and data science. His research focuses on computational structural biology, particularly the modeling of protein structures and biomolecular complexes using bioinformatics and physics-based approaches. He completed his Ph.D. at the Indian Institute of Science and pursued postdoctoral research at Rockefeller University and University of California San Francisco. Prior to joining IISER Pune, he was a Principal Investigator at the Bioinformatics Institute. His work has significantly contributed to understanding biomolecular interactions relevant to health and disease.
Prof. Lourderaj earned his Ph.D. in 2004 from the Indian Institute of Technology (IIT) Kanpur, followed by a postdoctoral fellowship at Texas Tech University. In 2009, he joined the faculty of the School of Chemical Sciences at NISER Bhubaneswar. His research focuses on Molecular Reaction Dynamics, particularly the mechanisms and dynamics of chemical reactions, dynamics at interfaces, development of methods and algorithms for chemical dynamics simulations, intramolecular vibrational energy redistribution (IVR) in molecules, and the application of machine learning in chemical dynamics. In recognition of his contributions to chemical research, he was awarded the Bronze Medal by the Chemical Research Society of India in 2022. Beyond research, he is actively engaged in science outreach, mentoring both school students and teachers.
Dr. Aarat Kalra is an Assistant Professor at the Centre for Biomedical Engineering, Indian Institute of Technology Delhi, working at the intersection of physics, biology, and engineering. He completed his B.Sc. (Hons.) in Chemistry from Dayalbagh Educational Institute, an M.Sc. in Biology from McGill University, and a Ph.D. in Physics from the University of Alberta, followed by postdoctoral research at Princeton University. His work focuses on molecular electrobiology, exploring how light and electrical signals influence biological systems. Dr. Kalra’s research has led to advances in areas such as microtubule electronics and electroceutical therapies. He has received several prestigious awards, including the Young Systems Scientist Award and the Young Faculty Incentive Fellowship at IIT Delhi. His work has been widely recognized and featured in leading scientific platforms.
Sourav Chatterjee is a Scientist at Tata Consultancy Services (TCS) Research, specializing in optical quantum technologies. He leads work in quantum sensing and quantum communication, focusing on translating quantum science into practical applications. He previously served as Scientist-C on the QKD project with RRI–ISRO and earned his Ph.D. from the Max Planck Institute for the Science of Light. He holds a B.Tech in Computer Science and an M.S. (by Research) in CNS from IIIT Hyderabad, along with a B.Sc. (Hons.) in Physics from the University of Calcutta. His work lies at the forefront of advancing real-world quantum information systems.
Dr. Harjinder Singh is a Professor at the Centre for Quantum Science and Technology (CQST) at International Institute of Information Technology Hyderabad. He holds a Ph.D. from Princeton University and has extensive experience in theoretical and computational chemistry and biology. His research focuses on electronic structure calculations, chemical dynamics, and the application of quantum computing to molecular systems. At CQST, he contributes to advancing quantum algorithms and their applications in chemistry and materials science. With a long-standing academic career, he has played a key role in building interdisciplinary research at IIIT Hyderabad.
Prof. Nita Parekh is a Professor at the Centre for Computational Natural Sciences and Bioinformatics at the International Institute of Information Technology Hyderabad. She holds a Ph.D. in Physics from Jawaharlal Nehru University and works at the interface of physics, biology, and data science. Her research focuses on computational biology, including comparative genomics, biological network analysis, and dynamical systems modeling. She develops algorithmic and data-driven approaches to study complex biological systems such as gene regulation and disease mechanisms. With over two decades at IIIT Hyderabad, she has played a key role in advancing interdisciplinary research and education in bioinformatics.
Prof. Jayashree Nagesh is an Assistant Professor at the Institute of Bioinformatics and Applied Biotechnology (IBAB), Bengaluru, working in quantum biology, biophysics, and chemical physics. She earned her Ph.D. in theoretical chemistry from the University of Wisconsin–Madison and completed postdoctoral research at the University of Toronto. Her research focuses on quantum phenomena in biological systems, including excitation energy transfer, photophysics, and weak noncovalent interactions in biomolecules. She was previously a Ramanujan Faculty Fellow at the Indian Institute of Science, where she expanded her work into biologically relevant quantum processes. Her group develops theoretical and computational methods to understand light–matter interactions in living systems and their implications for areas such as photosynthesis and protein dynamics.
Prof. Prabhakar Bhimalapuram is a Professor at the International Institute of Information Technology Hyderabad (IIITH), working in the areas of statistical mechanics, thermodynamics, and computational biophysics. He earned his Ph.D. from Cornell University and has contributed to interdisciplinary research at the interface of physics, chemistry, and biology. His research focuses on the thermodynamics and statistical mechanics of equilibrium and non-equilibrium systems, with applications to biomolecular processes and soft matter. He has worked extensively on molecular simulations, free energy calculations, and understanding complex molecular interactions in condensed-phase systems. His group develops theoretical and computational approaches to study biological and chemical phenomena, including protein dynamics, solvation, and emergent behavior in molecular systems. Additionally, he is associated with the Center for Computational Natural Sciences and Bioinformatics (CCNSB), where he contributes to advancing data-driven and simulation-based methods for studying natural sciences.
Prof. Samyadeb Bhattacharya is an Assistant Professor at the International Institute of Information Technology Hyderabad (IIITH), working in the areas of quantum thermodynamics, open quantum systems, and quantum information science. He earned his Ph.D. from the Indian Statistical Institute, Kolkata, and carried out postdoctoral research at the Harish-Chandra Research Institute, where he worked on quantum information and computational physics. His research focuses on understanding the dynamics of quantum systems interacting with their environments, including non-Markovian effects, spin systems, and quantum correlations. He has contributed to the development of theoretical frameworks in quantum thermodynamics, particularly in modelling quantum heat engines, quantum devices, and resource theories such as entanglement and coherence. His group develops analytical and computational approaches to study quantum phenomena in both foundational and applied contexts, with implications for quantum technologies, information processing, and the thermodynamic behaviour of microscopic systems.
Prof. Vinod P. K. is an Associate Professor at the International Institute of Information Technology Hyderabad (IIITH), working in the areas of computational systems biology, network biology, and nonlinear dynamics. He earned his Ph.D. from the Indian Institute of Technology (IIT) Bombay and is affiliated with the Center for Computational Natural Sciences and Bioinformatics (CCNSB), where he contributes to interdisciplinary research at the interface of biology, physics, and data science. His research focuses on understanding complex biological systems through computational and theoretical approaches, including systems pharmacology, genomics, and machine learning in healthcare. He has worked extensively on modeling biomolecular networks, disease progression, and large-scale biological data, with applications in cancer biology and precision medicine. His group develops computational frameworks and data-driven methods to study biological complexity, with particular emphasis on integrating multi-omics data, network-based analysis, and AI-driven approaches to uncover mechanisms underlying human diseases and improve clinical decision-making.
Dr. Pratibha Hegde is a postdoctoral researcher at IIIT Hyderabad working on quantum machine learning applied to drug discovery problem. She completed her Ph.D. in Physics and a one-year postdoctoral fellowship at the University of Naples Federico II, Italy. Her dissertation, titled “Genetic Algorithms Assisted Adiabatic Quantum Computing,” focused on employing genetic algorithms to address problems such as shortcuts to adiabaticity in the field of adiabatic quantum computing. She later worked as a postdoctoral researcher in the Computer Science Department at KTH Royal Institute of Technology, Stockholm, Sweden, within the High-Performance Computing group. At KTH, her research centered on applying quantum computing to plasma and fluid dynamics simulations.
Dr. Himanshu Badhani is a postdoctoral researcher at the International Institute of Information Technology Hyderabad (IIITH), working in the areas of quantum information theory, quantum thermodynamics, and theoretical physics. He completed his Ph.D. at the Institute of Mathematical Sciences, Chennai, where he focused on foundational aspects of quantum mechanics and open quantum systems. His research centers on the thermodynamics of quantum processes, non-Markovian dynamics, and non-Hermitian quantum systems, with particular emphasis on understanding information flow, entropy, and energy in quantum channels. His work explores the interplay between quantum information and statistical mechanics, with implications for emerging quantum technologies and fundamental questions in physics.
Rishab Ghosh is an engineer at Infosys, working with the Applied Research Center for Quantum Computing. His primary research focuses on quantum simulation and hybrid quantum–classical systems, with an emphasis on analyzing structural patterns in quantum Hamiltonians to study complex molecular systems. He is particularly interested in how such approaches could support future applications in chemistry and life sciences. Alongside his research work, Rishab is involved in applied, industry‑oriented initiatives, including contributions to a patent currently in the pipeline on Quantum‑Enhanced AI for semiconductor defect prediction and yield optimization. This work has provided him with practical exposure to how emerging quantum techniques can complement classical AI in high‑impact, real‑world domains. Rishab actively engages with the global quantum open‑source community. He is a Qiskit Advocate and has collaborated with IBM through a mentorship project exploring battery degradation pathways using quantum computing. He is also working with Dr. Lia Yeh at the University of Cambridge via the Quantum Open Source Foundation on applying ZX‑calculus for quantum circuit design and optimization. His broader interest in quantum biology and interdisciplinary research was recognized with a Special Mention from the Foundational Questions Institute for an essay examining how quantum information concepts might help reframe our understanding of biological complexity.
Dr. Naga Chaitanya Kosanam is the Founder of TriQuanta Labs, where he is pioneering the convergence of quantum computing and AI to solve complex enterprise challenges. He brings extensive experience in building global technology partnerships and driving innovation-led growth across startups and enterprises. With a strong background in enterprise IT, he has contributed to solving multi-million-dollar technology problems through strategic collaborations. Naga is an invited speaker, mentor, and jury member at leading startup and innovation forums. His expertise spans digital transformation domains including Digital Twins, IIoT, XR, and advanced aviation technologies.
Col. Sai Shankar is a technology leader and defence veteran at QClairvoyance, working at the intersection of quantum technologies, cybersecurity, and strategic innovation. He served in the Indian Army for over two decades, gaining extensive experience in communications, information systems, and defence technology. Following his military career, he transitioned into the deep-tech and startup ecosystem, contributing to the development and adoption of emerging technologies, particularly in quantum computing and secure communications. His work focuses on building practical applications of quantum technologies, fostering innovation in cybersecurity, and enabling organizations to prepare for the next generation of computational paradigms. He plays a key role in bridging defence expertise with cutting-edge research and industry applications, with an emphasis on national security, digital infrastructure, and advanced technology strategy.
Mr. Tapas Saini is working as a Scientist (F) at CDAC Hyderabad. His expertise is in quantum machine learning applied to anomoly detection. He is currently working in areas of Quantum Computing, Quantum Machine Learning, Classical Machine Learning/Deep Learning using software frameworks primarily: Qiskit, PennyLane, PyTorch, dlib, keras, OpenCV and more.