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Monthly Industry-Academic Talks: Engage Online for Insightful Discussions

Join our monthly online talks, bridging the gap between industry and academia. Explore cutting-edge insights, foster collaboration, and stay informed with our dynamic discussions.

What we cover

  • Collaboration: Learn how industry and academia partnerships drive advancement.
  • Cutting-Edge Insights: Explore the latest developments in drug discovery and materials science.
  • AI-Powered Innovation: Discover how artificial intelligence revolutionises scientific research and development.
  • Author Insights: Gain unique perspectives from leading experts sharing insights on specific research areas.

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Latest Talks

Drug Development for Rare Diseases: Emerging Trends

Dr. Sudheendra Rao N R, is a physician-scientist with MBBS from Mysore Medical College. He finished PhD in molecular neuroscience from the National Brain Research Centre, Manesar, India following his medical practice and non-course neurology residency at NIMHANS, Bangalore. During his doctoral studies he pursued research on a rare neurodegenerative epilepsy.

Supervised Machine Learning Models for Predicting Chemical Properties

M. Natália D. S. Cordeiro is an Associate Professor of Chemistry at the Faculty of Sciences, University of Porto (Portugal) and now heads the Chemistry Material Modelling research group at the Associated Laboratory

Consequences of Machine Learning on Structural Protein Biology

Ratul Chowdhury is an assistant professor of Chemical and Biological Engineering at Iowa State University.

Beyond Reality: AR, VR, and the Evolution of Immersive Experiences

Dr. Thotreingam Kasar, currently the Director of EDspire Research Centre, previously served as Chief Research Officer at Robotguru Education Technologies Pvt Ltd (2021-2023). He played a key role in fostering collaborations between industry and academia, shaping curriculum strategies, and pioneering HoloWorld experiential 3D learning content for computer, mobile, AR and VR devices.

Repurposing Ancient Enzymatic Scaffolds for Modern Purposes Using In-Silico Method

Repurposing Ancient Enzymatic Scaffolds for Modern Purposes Using In-Silico Method

An implicit model-based integrated framework to advance membrane protein structure prediction and design

An implicit model-based integrated framework to advance membrane protein structure prediction and design

Chemical Biology Approach for Solving Unmet Clinical Need

Chemical Biology Approach for Solving Unmet Clinical Need

Development and Application of EnzyDock: New Docking Strategies for Enzymes

Development and Application of EnzyDock: New Docking Strategies for Enzymes

Role of Metastable Conformational States in Proteins: From Function to Drug Discovery

Dr. Suman Chakrabarty has a broad research interest in the area of computational (bio)physical chemistry. He obtained B.Sc. in Chemistry from Presidency College, Kolkata (2002) and MS (2005)/PhD (2010) from Indian Institute of Science (IISc), Bangalore.