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R. SankararamakrishnanView profile

Professor

• Membrane Protein Function
• Computational Biology
• Structural Bioinformatics
• +4 more

Dr. R. Sankararamakrishnan is a Professor in the Department of Biological Sciences & Bioengineering at the Indian Institute of Technology Kanpur. With a PhD in Molecular Biophysics from the Indian Institute of Science Bangalore, he has established himself as a leading researcher in computational approaches to membrane protein function. His research program focuses on two major areas: the investigation of water-transporting aquaporin channels and the superfamily of major intrinsic proteins across different species, and understanding the molecular recognition mechanisms between pro- and anti-apoptotic Bcl-2 family members. His laboratory employs a sophisticated combination of sequence analysis tools, structural bioinformatics approaches, and molecular dynamics simulations to address these complex biological problems. His publication record demonstrates consistent contributions to high-impact journals in bioinformatics, structural biology, and computational chemistry. His work spans membrane biophysics, protein structure analysis, and molecular interactions, with particular emphasis on aquaporins, Bcl-2 family proteins, and membrane bilayer properties. National Bioscience Award for Career Development (2008) Joy Gill Chair Professor for young faculty (2007-2010) U.S.V. Chair Professor (2011-2014) Commendation letters for excellence in teaching 'Structural Biology and Biophysics' and 'Bioinformatics and Computational Biology' courses Dr. Sankararamakrishnan's educational background includes a PhD in Molecular Biophysics from IISc Bangalore (1993), an M.Sc. in Mathematics from Madurai Kamaraj University (1986), and a B.Sc. in Mathematics & Chemistry from the same institution (1984), demonstrating his strong interdisciplinary foundation for computational biology research.

• Machine Learning
• Optimization
• Statistical Learning Theory
• +5 more

Purushottam Kar is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur. He completed his PhD from IIT Kanpur in 2014 and his B.Tech. from the same institution in 2008. His academic career includes a post-doctoral research position at Microsoft Research India from July 2013 to August 2015, following a doctoral research internship there from May to August 2012. Dr. Kar's research focuses on the theoretical and practical aspects of machine learning. His primary interests include Machine Learning , Optimization , and Statistical Learning Theory . More specifically, he works on online and stochastic learning and optimization, multi-label classification, high dimensional statistics, kernel methods, and statistical learning theory. His work bridges theoretical foundations with practical applications in artificial intelligence. His recent publications demonstrate a strong focus on advancing machine learning methodologies, particularly in robust regression, non-decomposable performance measures, precision optimization, multi-label classification, and the theoretical foundations of online learning. His research spans both theoretical developments in statistical learning and practical implementations for complex classification problems. International Conference on Machine Learning (ICML) Reviewer Award (2015) Indian Unit of Pattern Recognition and Artificial Intelligence (IUPRAI) Doctoral Dissertation Award (2014) Yahoo! Key Scientific Challenges (Yahoo! KSC) Program Honourable Mention (2012) Microsoft Research (MSR India) PhD Fellowship (2010) Academic Excellence Awards by IIT Kanpur (2005, 2006) Dr. Kar teaches courses in Machine Learning, Online Learning, and Statistical Learning Theory. His research profile suggests he mentors PhD and Master's students in machine learning and related fields. His work with Microsoft Research indicates significant industry collaborations and grant funding in artificial intelligence research. His office is located in Room 509 of the CSE Extension building (Rajeev Motwani Building) at IIT Kanpur.

Raghu Nandan SenguptaView profile

Professor

• Sequential Estimation
• Statistical Reliability Theory
• Risk Analysis
• +4 more

Dr. Raghu Nandan Sengupta is a Professor at the Department of Management Sciences, Indian Institute of Technology Kanpur (IITK). With a Ph.D. from IIM Calcutta and a BE in Mechanical Engineering from BIT Mesra, he has held visiting positions at institutions including Princeton University, University of Warsaw, and Technische Universität Dresden. His academic leadership includes serving as Head of Department (2017-2020) and Chairman of GATE/JAM-2025. Research Focus: Sequential Estimation, Statistical Reliability Theory, Risk Analysis, Optimization Techniques in Finance, Meta Heuristic Algorithms, and Robust Optimization His publications span topics like reliability-based portfolio optimization , multiobjective decision-making , and brand sensitivity in B2B marketing . Key awards include DAAD Research Stays, EU-NAMASTE Erasmus Mundus Fellowship, and Indo-US S&T Forum Fellowship. He has advised 16 PhD students and contributed to editorial boards of journals including Sequential Analysis and Foundations of Computing and Decision Sciences . Scientific Awards: DAAD Research Stays (2017, 2015) EU-NAMASTE Erasmus Mundus Fellowship (2015) Indo-US S&T Forum Fellowship (2008) Erasmus Mundus Europe Asia Fellowship (2011) He has taught courses such as Probability and Statistics , Quantitative Methods for Decision Making , and Security Analysis & Portfolio Management at IITK, University of Warsaw, and IGIDR Mumbai. His work bridges statistical inference , financial engineering , and operations research , emphasizing practical applications in industry and academia.

• Organometallic Chemistry
• Catalysis
• Green Chemistry
• +2 more

Professor Basker Sundararaju is a faculty member in the Department of Chemistry at the Indian Institute of Technology Kanpur (IITK). He specializes in organometallic chemistry and catalysis, with a focus on developing sustainable and environmentally friendly chemical processes. Education: PhD (2011) - Université de Rennes1, France M.S. (2008) - Universite de Rennes, France Research Interests: His research program centers on transition metals to achieve efficient catalytic systems for activating carbon-hydrogen (C-H), carbon-carbon (C-C), and carbon-heteroatom bonds. The goal is to develop regio-, stereo-, and enantioselective reactions for targeted molecular synthesis, emphasizing green and sustainable chemistry. Scientific Awards: Thieme Chemistry Journal Award 2014 DAE-BRNS Young Scientist Award 2014 Alexander Von-Humboldt Fellowship for postdoctoral research (2012-2013) Professional Experience: He has held positions as Assistant Professor at IIT Kanpur since 2013, Alexander von Humboldt Fellow (2012-2013), and Max-Planck Group postdoctoral fellow (2011-2012).