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Sanjay Mittal is a Professor in the Department of Aerospace Engineering at the Indian Institute of Technology Kanpur, where he has established himself as a leading researcher in fluid dynamics and computational aerodynamics. Education: PhD (Aerospace Engineering), University of Minnesota, Minneapolis, MN, USA, 1992 M.S. (Aerospace Engineering), University of Minnesota, Minneapolis, MN, USA, 1990 B.Tech (Aeronautical Engineering), IIT Kanpur, 1988 Professor Mittal's research spans multiple specialized areas within fluid dynamics, with particular expertise in bluff body flows, vortex-induced vibrations, and fluid-structure interactions. His work combines theoretical analysis with advanced computational methods to address complex aerodynamic problems. He has made significant contributions to understanding transition and turbulence phenomena, developing optimization techniques for aerodynamic shapes, and applying these principles to practical engineering challenges including air intake design and traffic flow modeling. His publication record shows a strong focus on fundamental fluid mechanics phenomena with increasing emphasis on computational methods and practical applications over time. The research demonstrates sophisticated approaches to modeling complex flow behaviors and their interactions with structures. Scientific Awards and Recognitions: Shanti Swarup Bhatnagar Prize, Engineering Sciences, 2006 JC Bose Fellowship, Department of Science & Technology – 2013 Fellow, Indian National Science Academy (INSA), since 2011 Corresponding Editor, Computer Modeling in Engineering & Sciences (CMES), Tech Science Press, since 2011 Fellow, Indian Academy of Sciences, 2007 Scopus Young Scientist in Engineering, 2007 Professor Mittal has received significant research funding through various grants supporting his work in computational fluid dynamics. His supervision of graduate students has produced quality research in aerodynamics, as evidenced by his publication record with co-authors who appear to be students and collaborators. While specific laboratory details aren't provided in the available information, his research program likely includes computational facilities for fluid dynamics simulations and potentially wind tunnel testing capabilities given his research interests in experimental validation.

• Aerodynamics
• CFD
• Aerodynamic Shape Optimization
• +7 more

Dr. Jayandharan Giridhara Rao is a Professor in the Department of Biological Sciences & Bioengineering at the Indian Institute of Technology Kanpur (IIT Kanpur). He has been with IIT Kanpur since 2014, initially serving as an Associate Professor until December 2019, when he was promoted to Professor. Dr. Rao earned his PhD in Biomedical Sciences/Molecular Biology from Christian Medical College, Vellore in 2008. He completed his postdoctoral training at the Powell Gene Therapy Center, University of Florida, Gainesville, USA from 2007-2009. Dr. Rao's research program focuses on developing molecular medicine platforms to address unmet clinical needs for monogenic human diseases and cancers. His work interfaces at the basic biology of adeno-associated virus (AAV) and its translational science. He utilizes a variety of molecular, cellular, and preclinical models to advance gene therapy approaches. His expertise lies in viral vector engineering, particularly with AAV vectors, for therapeutic applications in hemophilia, retinal degeneration, and various cancers. Analysis of Dr. Rao's recent publications reveals a strong focus on engineering AAV vectors for improved therapeutic efficacy. His work spans multiple applications including hemophilia treatment, retinal degeneration therapy, and cancer treatment. He has made significant contributions to understanding post-translational modifications in viral capsids and their impact on gene delivery efficiency. Dr. Rao has received numerous prestigious awards and recognitions for his research: Senior Fellowship, Wellcome Trust DBT India Alliance (2017-22) B.M. Birla Science Prize in Biology (2015) Young scientist award, YIM-MIT Boston, USA (2014) Senior Innovative Young Biotechnologist award, Department of Biotechnology, Government of India (2014-17) Swarnajayanti Fellowship, Department of Science and Technology, Government of India (2012-17) Bayer Hemophilia Early Career Investigator Award, Bayer Inc, USA (2010-12) While specific details about his advising and grant history are not provided in the available information, Dr. Rao's extensive publication record and prestigious fellowships suggest a robust research program with significant funding support. His work appears to bridge basic virology with translational medicine, positioning him as a key contributor to the field of gene therapy in India. Dr. Rao's laboratory likely focuses on viral vector engineering and preclinical testing of gene therapy approaches, though specific details about his lab structure and team composition are not provided in the available information.

• Gene Therapy
• Molecular Genetics
• Viral Vector Engineering
• +5 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.

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

Dr. Sanjeev Garg is a Professor in the Department of Chemical Engineering at the Indian Institute of Technology Kanpur. His academic journey includes a PhD from the University of Connecticut, Storrs (2002), M.Tech from IIT Kanpur (1997), and B.Tech from Harcourt Butler Technological Institute, Kanpur (1995). Dr. Garg's educational background reflects a strong foundation in chemical engineering with progressive specialization. His PhD research at the University of Connecticut focused on advanced chemical engineering principles, building upon his earlier work at IIT Kanpur where he developed expertise in core chemical engineering processes. Dr. Garg's research spans several critical areas in modern chemical engineering. His work in bioinformatics applies computational approaches to biological problems, particularly in RNA interference mechanisms. In bioremediation, he focuses on using microbial processes to address environmental contamination. His third major research thrust involves computer-aided design of chemical products and processes, with applications in energy production and pharmaceutical delivery systems. His interdisciplinary approach bridges traditional chemical engineering with computational methods and biological sciences. Analysis of Dr. Garg's publication record shows a consistent research trajectory with increasing sophistication in methodology. His earlier work focused on biodiesel production from various oil sources, while more recent publications demonstrate expansion into pharmaceutical applications and computational biology. The common thread throughout his work is the application of chemical engineering principles to solve practical problems in energy, environment, and healthcare. Dr. Garg maintains an active research program with collaborations across chemical engineering, microbiology, and computational science disciplines. His work demonstrates strong potential for translation into practical applications in renewable energy and environmental remediation.

• Bioinformatics
• Bioremediation
• Computer Aided Product and Process Design

Professor Yogesh M Joshi is a distinguished faculty member in the Department of Chemical Engineering at the Indian Institute of Technology Kanpur. With a PhD from IIT Bombay and extensive research experience, he has established himself as a leading expert in rheology and soft glassy materials. His work bridges fundamental science with practical applications in material science and engineering. PhD, Indian Institute of Technology Bombay, 2001 B.E., Pune University, 1996 Professor Joshi's research focuses on the complex behavior of soft glassy materials, particularly examining rheological properties, colloidal glasses, and gels. His work investigates how these materials respond to various stresses and environmental conditions, with applications ranging from industrial processing to advanced material design. He has developed novel approaches to understand and predict material behavior across different time scales, contributing significantly to the fundamental understanding of soft matter physics. His publication record demonstrates a consistent trajectory of high-impact research in materials science journals, with particular emphasis on the rheological characterization of complex fluids and soft solids. His work shows increasing sophistication in experimental methods and theoretical modeling over time. National Academy of Sciences (NASI) – Scopus Young Scientist Award 2012 (2013) Department of Atomic Energy – Science Research Council (DAE – SRC) Outstanding Investigator Award (2012) Indian National Academy Engineering (INAE) Young Engineer Award (2008) Associate of Indian Academy of Sciences (2006-2009) Indian National Science Academy (INSA) Medal for Young Scientist (2006) Professor Joshi has established himself as a significant contributor to the field of soft matter research through his innovative approaches to understanding material behavior. His work has attracted substantial recognition from major scientific academies in India, reflecting the quality and impact of his research. While specific grant information isn't detailed in the available materials, his numerous prestigious awards suggest strong funding support for his research program.

• Rheology
• Soft Glassy Materials
• Colloidal Glasses and Gels
• +3 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.

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

Rajat Mittal serves as an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur. His academic credentials include a PhD from Rutgers University (2011) with a dissertation on semidefinite programming applications in query complexity, supervised by Mario Szegedy, and a B.Tech from IIT Bombay (2004) in Computer Science and Engineering. Dr. Mittal's research program centers on Computational Complexity, Quantum Computing, and Semidefinite Programming, representing the cutting edge of theoretical computer science. His work bridges abstract theoretical concepts with practical algorithmic applications, particularly in quantum information processing and complexity analysis. The departmental affiliation with Computer Science and Engineering places his research within a strong technical framework that supports both theoretical exploration and practical implementation. His publication record demonstrates consistent contributions to top-tier theoretical computer science conferences including FOCS, ICALP, and QIP, with a clear trajectory of advancing knowledge in quantum algorithms and computational complexity theory. These works collectively establish semidefinite programming as a powerful tool for addressing fundamental questions in computational theory. Within the academic community at IIT Kanpur, Dr. Mittal contributes through specialized courses on semidefinite programming applications in complexity theory and advanced linear programming topics, shaping the next generation of theoretical computer scientists in India's premier technical institution. His office is located in CS 202 within the Department of Computer Science and Engineering at IIT Kanpur, maintaining active engagement with students, colleagues, and the broader research community through his accessible contact information.

• Computational Complexity
• Quantum Computing
• Semidefinite Programming
• +3 more

Sanjeev Saxena serves as Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur, where he has established himself as a prominent researcher in algorithm design and parallel computing. His research spans five key domains: Algorithms - specializing in efficient computational methods and theoretical foundations Parallel Processing - developing architectures for multi-processor computation VLSI - exploring algorithm-hardware integration for circuit design Data Structures - innovating in information organization techniques Heuristics - creating practical solutions for complex computational problems Professor Saxena's publication timeline reveals a consistent research trajectory focused on computational efficiency, with early work on VLSI parallel algorithms evolving into broader applications in data structures and scientific computing. His most recent publications demonstrate expertise in translating theoretical computer science into practical implementations for scientific and engineering applications. His educational contributions include authoring the textbook "Java for Scientists and Engineers" (2008), which bridges programming knowledge with scientific applications, reflecting his commitment to computer science education.

• Algorithms
• Parallel Processing
• VLSI
• +2 more

Subhajit Roy is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur. He holds a PhD from the Indian Institute of Science (IISc), which he completed in 2010. His research focuses on Programming Languages, Compilers, Program Analysis, and Code Optimization. Dr. Roy has made significant contributions to compiler design, static analysis, and program optimization techniques. His work bridges theoretical foundations with practical applications in software development and performance enhancement. The research interests span from heap manipulation and program synthesis to path profiling and bug localization. Dr. Roy's research has been published in prestigious conferences including Static Analysis Symposium (SAS), International Symposium on Code Generation and Optimization (CGO), and Compiler Construction (CC). His work demonstrates expertise in both theoretical aspects of programming languages and practical compiler implementation, with particular focus on advanced static analysis techniques, speculative optimizations, and program behavior profiling. As an active researcher, Dr. Roy has contributed to advancing compiler technology through innovations in SSA form extensions, path profiling algorithms, and statistical bug localization methods. His publications reveal a consistent research trajectory focused on improving program analysis and optimization techniques.

• Programming Languages
• Compilers
• Program Analysis
• +3 more

Abheejeet Mohapatra is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur. His research expertise spans critical areas of modern power systems engineering with specialization in power system security, uncertainty modeling, stochastic analysis and optimization, robust system operation and planning, renewable energy integration, and deregulation. His work addresses the complex challenges of maintaining grid stability while incorporating increasing amounts of renewable energy sources into power networks. Dr. Mohapatra's research group at IIT Kanpur focuses on developing advanced methodologies for power system analysis under uncertain conditions, creating optimization frameworks for efficient grid operation, and addressing the technical challenges posed by electricity market deregulation. His contributions help bridge theoretical advancements with practical applications in electrical power systems. Based in ACES 105 (Advanced Centre for Electronic Systems) at IIT Kanpur, he maintains an active research program while contributing to the academic development of electrical engineering students at one of India's premier technical institutions.

• Power system security
• Uncertainty modelling
• Stochastic analysis and optimization
• +3 more

Shyama Prasad Das is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur. His expertise lies in the field of Power Electronics and Electrical Drives with over two decades of academic and research experience. Education: PhD, IIT Kharagpur (1997) M.Tech, IIT Kharagpur (1992) B.Tech (Hons), IIT Kharagpur (1990) Professor Das's research focuses on Power electronics, Electric Drives, Electrical machines, and Microprocessor Systems & instrumentation. His work addresses critical challenges in motor control systems, power quality enhancement, and advanced power conversion technologies. His research has resulted in significant contributions to direct torque control of induction motors and Unified Power Quality Conditioners (UPQC), with practical applications in industrial motor drives and energy-efficient power conversion systems. His publication record demonstrates a strong emphasis on experimental validation alongside theoretical analysis, particularly in power converter topologies and motor drive systems. His work spans from fundamental control strategies to practical implementation of power electronic circuits for industrial applications. Awards and Recognitions: INAE Young Engineers Award (2003) Senior Member IEEE (2002) Fellow, IETE (India) (2008) Professor Das maintains an active research program with collaborations across academia and industry. His work contributes significantly to advancing power electronic technologies and their applications in various industrial settings, particularly in improving energy efficiency and power quality in electrical systems.

• Power electronics
• Electric Drives
• Electrical machines
• +1 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.

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