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Dr. Triratna Muneshwar is an Assistant Professor in the Department of Metallurgical Engineering and Materials Science at the Indian Institute of Technology Bombay (IIT Bombay), where he has been serving since November 2021. His research focuses on advanced thin film deposition techniques, particularly atomic layer deposition (ALD) and atomic layer etching (ALE), for next-generation semiconductor devices. Ph.D. in Materials Engineering, University of Alberta, Canada (2014) Dual Degree (B.Tech & M.Tech) in Metallurgical Engineering and Materials Science, IIT Bombay (2009) His research interests lie at the intersection of materials science and semiconductor technology, with a strong emphasis on modeling and experimental analysis of vacuum thin film processes. He investigates atomic layer deposition of oxides, nitrides, and metals, surface reaction kinetics , dopant distribution in thin films , and parasitic reactions in high-aspect-ratio structures . His work bridges lab-scale innovation to industrial fabrication (Lab-to-Fab). Dr. Muneshwar's publications reveal a consistent focus on improving the precision, efficiency, and scalability of ALD processes. His work spans plasma-enhanced ALD , precursor chemistry , in-situ characterization , and numerical modeling of growth mechanisms. Key themes include precursor utilization optimization, nucleation control, and material characterization for logic and memory applications. Scientific recognitions include: Featured Article, Journal of Applied Physics (2016) Editors Pick, Journal of Applied Physics (2018) U.S. Patent on precursor utilization in pulsed ALD processes Dr. Muneshwar has mentored research at the postdoctoral and associate levels and continues to build a research program involving graduate students and collaborative projects. His prior experience includes a Postdoctoral Research Fellowship and Research Associate role at the University of Alberta. He is actively involved in advancing ALD/ALE technologies with industrial relevance. His research is conducted within the MEMS department at IIT Bombay, leveraging advanced fabrication and characterization facilities. He collaborates with teams working on semiconductor materials, nanofabrication, and process modeling, contributing to India's growing expertise in microelectronics and advanced materials.

• Materials for Semiconductor Devices
• Atomic Layer Deposition
• Atomic Layer Etching
• +7 more

R.K. Shyamasundar is a Professor at the Indian Institute of Technology Bombay , with a focus on Real-Time and Reactive Programming, Logic Programming, Pi-Calculus, and Parallel Programs. Research spans formal verification, concurrency, and distributed systems. Key contributions include RT-CDL semantics, Esterel language extensions, and hybrid system controller synthesis. Scientific awards include JC Bose National Fellow, Fellowships at Indian Academy of Sciences and Indian National Science Academy, and Senior Membership in IEEE. His work involves collaborations with institutions like TCS Group and researchers such as Basant Rajan, N. Raja, and Deepak Kapur.

• Real-Time Programming
• Reactive Programming
• Logic Programming
• +7 more

Prof. Siva Umapathy serves as Professor at the Indian Institute of Science (IISc), Bangalore, holding dual appointments in the Department of Inorganic and Physical Chemistry and Department of Instrumentation and Applied Physics. He additionally holds the position of Special Professor at the University of Nottingham, UK, and is recognized as a JC Bose Fellow by the Government of India. His research program centers on understanding molecular structure and dynamics through vibrational spectroscopic techniques, with particular emphasis on Raman and Infrared spectroscopy applications in complex biological systems. The Laser Spectroscopy Group under his leadership investigates structural uniqueness in entities ranging from bacteria to cancer cells and tissues, exploring the fundamental vibrational nature of molecular systems. This work bridges physics, chemistry, and biomedical research with direct implications for disease diagnostics. Prof. Umapathy has established significant recognition through the JC Bose Fellowship, a prestigious award supporting outstanding scientists in India. His group maintains active international collaborations, evidenced by student placements such as Dr. Venkatraman's Newton International Fellowship at the University of Bristol. Mentorship forms a core component of his academic role, with documented success in guiding doctoral researchers to independent careers, including Dr. Goutam Kumar Chandra's appointment as Assistant Professor at NIT Calicut. The research group maintains high visibility through participation in major conferences including the 90 Years of Raman Conference (2017-2018) and FlouRA Conference at IISER Pune (2014), while also engaging in institutional activities ranging from ministerial visits to campus celebrations.

• Laser Spectroscopy
• Vibrational Spectroscopy
• Raman Spectroscopy
• +4 more

Dipak Kumar Giri is an Assistant Professor in the Department of Aerospace Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur). He received his PhD from IIT Kharagpur and has established himself as a specialist in aerospace control systems with a focus on satellite attitude dynamics and control. Dr. Giri's educational background includes a doctoral degree from IIT Kharagpur, one of India's premier technical institutions. His academic journey reflects a strong foundation in aerospace engineering principles and control theory, which has enabled his transition from research engineer to faculty position at IIT Kanpur. His research program centers on linear and nonlinear control systems for aerospace applications, with particular expertise in satellite attitude control using innovative actuation methods. Dr. Giri has pioneered work in magneto-Coulombic satellite attitude control systems, developing fault-tolerant control strategies and advanced sliding mode techniques. His research bridges theoretical control methodologies with practical aerospace applications, addressing critical challenges in spacecraft orientation and stabilization. The consistent publication of his work in top-tier journals demonstrates his scholarly contributions to the field of aerospace control systems. Analysis of Dr. Giri's publications reveals a sustained research focus on satellite attitude control through magneto-Coulombic systems, Lorentz forces, and magnetic actuation. His work spans theoretical developments in control theory to practical implementations for Earth-pointing satellites. The progression of his research from basic magneto-Coulombic control (2014) to fault-tolerant systems (2015-2019) and applications to aircraft control (2020) shows an expanding research scope while maintaining core expertise in control systems. Dr. Giri has held prestigious positions including DST INSPIRE Faculty at IIT Kanpur (2018-2020), Postdoctoral Research Associate at Singapore-MIT Alliance for Research and Technology (2017-2018), and Postdoctoral Fellow at Ulsan National Institute of Science and Technology in South Korea (2016-2017). These international research experiences have enriched his academic perspective and contributed to collaborative research efforts across borders. His laboratory work focuses on spacecraft dynamics and control systems, with particular attention to innovative actuation methods for satellite orientation. The research environment likely supports both theoretical modeling and simulation studies of spacecraft control systems, with potential applications to real-world satellite missions and aerospace technology development.

• Linear Control Systems
• Nonlinear Control Systems
• Aerospace Systems
• +5 more

Pranamesh Chakraborty serves as an Assistant Professor in the Department of Civil Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), where he specializes in Transportation Engineering with expertise spanning Intelligent Transportation Systems, Machine Learning, Big Data Analytics, and Naturalistic Driving Studies. Faculty position: Assistant Professor, Department of Civil Engineering Academic qualifications: PhD from Iowa State University (2019), M.Tech from IIT Kanpur (2014), B.E. from IIEST Shibpur (2012) Previous appointments: Assistant Professor at Techno India University and KIIT University Dr. Chakraborty's research program focuses on developing innovative computational approaches to transportation challenges, with particular emphasis on applying machine learning techniques to traffic management, incident detection, and policy analysis. His work bridges civil engineering principles with cutting-edge data science methodologies. Analysis of his publication record reveals a consistent research trajectory centered on data-driven transportation solutions, with increasing emphasis on deep learning applications and real-world policy implications. His work demonstrates strong interdisciplinary integration across engineering, computer science, and urban planning domains. Research Excellence Award, Iowa State University, 2019 Best Student Paper, TRB Managing Roadways and Transit Together Conference, Seattle, 2018 Student Essay Competition Winner, ITS America, San Jose, 2016 Academic Excellence Award, Indian Institute of Technology Kanpur, 2013 Dr. Chakraborty maintains an active research program with multiple publications in high-impact transportation journals. His previous experience includes serving as a Graduate Research Assistant at Iowa State University and teaching positions at multiple Indian institutions before joining IIT Kanpur.

• Transportation Engineering
• Intelligent Transportation Systems
• Machine Learning
• +2 more

Dr. Jillet Sarah Sam is an Associate Professor in the Department of Humanities and Social Sciences at the Indian Institute of Technology Kanpur (IIT Kanpur). Her research focuses on the sociological dimensions of digital financial transformations in India, particularly examining how money, finance, and digital technologies intersect with social structures. Dr. Sam completed her PhD in Sociology from the University of Maryland, College Park (2008-2014) with a dissertation on caste identification and spatial imaginaries. Her academic journey includes an M.A. in Sociology from the University of Hyderabad (2007) and a B.A. in Economics from Jesus and Mary College, University of Delhi (2002). Her research program investigates how digital payment systems have reshaped financial practices in India, with particular attention to gender dynamics, informal labor sectors, and social stratification. She employs ethnographic methods to understand how marginalized communities navigate digital financial inclusion, especially during critical moments like demonetization and the pandemic. Dr. Sam's work reveals how digital payment adoption is not merely a technological shift but a complex social process involving multiple actor groups, policy interventions, and cultural interpretations. Her research shows how caste, gender, and class dynamics persist and transform in digital financial spaces. 2022: Visiting Lecturer at University of Bologna 2020-2022: €20,000 BANDO STRUTTURE Mobility Grant for comparative India-Italy consumer behavior study 2018-2019: 148,000 SEK FORMAS STINT Mobility Grant for women's monetary digitization research She has established significant international collaborations with researchers in Sweden, Italy, and the United States, contributing to the global understanding of digital financial transformations in developing economies while maintaining a strong focus on India's unique sociocultural context.

• money and finance
• economic sociology
• digital sociology
• +1 more

Faiz Hamid serves as an Associate Professor in the Department of Management Sciences at Indian Institute of Technology Kanpur. With a Ph.D. in Decision Sciences & Information Systems from IIM Lucknow (2012) and a B.Tech. in Computer Science and Engineering from Institute of Engineering & Management (2007), he brings strong technical and analytical expertise to his academic position. His research interests span Operations Research, Combinatorial Optimization, Network Optimization, and Data Science, with particular focus on transportation systems, pandemic response modeling, and revenue management applications. Dr. Hamid's scholarly work demonstrates consistent publication in high-impact journals including European Journal of Operational Research, Omega, Transportation Research, and IEEE Transactions on Signal Processing. His recent publications reveal a strong trend toward applying optimization techniques to real-world problems, particularly addressing pandemic-related challenges in transportation systems and developing sophisticated mathematical models for railway operations. His 2024 edited volume 'Optimization Essentials: Theory, Tools, and Applications' demonstrates his leadership in the field. Ph.D. Thesis recognized as runner-up for 2014 Best Dissertation Award by The INFORMS Technical Section in Telecommunications Best Paper Award at COSMAR 2010 Doctoral Conference, Indian Institute of Science, Bangalore Professor Dipak C Jain Best Paper Award at IMR Doctoral Conference 2010, IIM Bangalore Silver Medal, National Mathematics Olympiad 2002 Dr. Hamid has advised numerous students and collaborated extensively with researchers globally, particularly in transportation optimization problems. His professional journey includes industry experience as Associate Functional Architect at JDA Software and post-doctoral research at Telecom SudParis, France, before joining IIT Kanpur's faculty.

• Operations Research
• Combinatorial Optimization
• Network Optimization
• +3 more

Dootika Vats is an Associate Professor in the Department of Mathematics & Statistics at Indian Institute of Technology Kanpur (IIT Kanpur). She earned her PhD in Statistics from the University of Minnesota, Twin-Cities, and her research focuses on advancing Monte Carlo and Bayesian computational methods, especially Markov chain Monte Carlo diagnostics. Education: PhD, Statistics, University of Minnesota, Twin-Cities, Feb 2017 MS, Statistics, University of Minnesota, Twin-Cities, Nov 2016 MS, Statistics, Rutgers University, New Brunswick, May 2012 BA (honors), Mathematics, University of Delhi, Lady Shri Ram College, May 2010 Research Interests: Her work lies at the intersection of computational statistics and Bayesian inference, with core emphases on: Markov chain Monte Carlo (MCMC) methodology Monte Carlo variance estimation and output analysis Bayesian computation and diagnostics Geometric ergodicity and convergence rates of MCMC algorithms Recent Publications Trend: Across her recent articles and preprints, Dr. Vats has consistently tackled open problems in MCMC output analysis, introducing new diagnostics, optimal batch-size selection, and visualization tools that directly impact practical Bayesian computation. Her contributions bridge theoretical rigor—such as proving strong consistency of spectral variance estimators—with immediately applicable software and graphical methods. Awards & Honors: Director’s Award, University of Minnesota School of Statistics, 2016 Graduate Research Partnership Program Fellowship, Summer 2016 Louise T. Dosdall Fellowship for Women in STEM, 2016–2017 School of Statistics Alumni Fellowship, 2015–2016 Martin–Buehler Fellowship in Statistics, Fall 2015 Bernard W. Lindgren Graduate Student Teaching Award, Spring 2014 Lynn Lin Fellowship in Statistics, Summer 2014 Teaching & Mentoring: At IIT Kanpur she continues to teach and mentor within the statistics curriculum. Earlier, at the University of Minnesota, she served as Instructor for STAT 3011 and as a teaching assistant across multiple undergraduate and graduate courses; at Rutgers University she was a part-time lecturer in calculus and pre-calculus. Labs & Collaboration: While no specific lab is named, her research is computational and collaborative; she has worked with James M. Flegal, Galin L. Jones, and other leading MCMC methodologists, and her Google Summer of Code participation demonstrates engagement with the open-source statistics community.

• Markov chain Monte Carlo
• Monte Carlo methods
• Bayesian computation
• +1 more

Dr. N.R. Aravind is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Hyderabad. Holding a Ph.D. in Theoretical Computer Science from The Institute of Mathematical Sciences, Chennai, he is affiliated with the College of Engineering. His research spans algorithms, graph theory, combinatorics, and determinantal complexity, with a focus on parameterized algorithms and approximation techniques for NP-hard problems. Education: Ph.D., The Institute of Mathematical Sciences, Chennai (Advisor: Prof. C.R. Subramanian) Postdoctoral research under Prof. Sundar Vishwanathan at IIT Bombay Aravind's research explores structural questions in graph theory, social network modeling, and complexity bounds. His work on parameterized algorithms addresses tractable instances via input parameters, while his studies in graph coloring and forbidden subgraphs contribute to theoretical understanding. Recent publications focus on matching cut problems, happy coloring, and determinantal complexity. His 15 most recent publications (2010-2024) span computational complexity, graph algorithms, coloring problems, and determinantal complexity. These works emphasize parameterized approaches, structural graph theory, and algorithmic bounds for intractable problems. Scientific Awards: Aravind has mentored numerous PhD and MTech students, including Roopam Saxena, Anjeneya Swami Kare, and R.B. Sandeep, now holding academic positions at prestigious institutions. He has taught courses like Algorithms, Probability in Computing, and Cryptology, often collaborating with co-instructors such as Dr. Rakesh Venkat. His office is located in Room CS-408, Indian Institute of Technology Hyderabad.

• Algorithms
• Graph Theory
• Combinatorics
• +5 more

Sri Niwas Singh serves as Chair Professor in the Department of Electrical Engineering at the Indian Institute of Technology, Kanpur, where he has established himself as a leading expert in power systems engineering with significant research contributions spanning multiple critical areas. His educational qualifications include: PhD in Electrical Engineering from IIT Kanpur (1995) M.Tech in Electrical Engineering from IIT Kanpur (1989) B.Tech in Electrical Engineering from KNIT Sultanpur (1987) Professor Singh's research program focuses on Power System Restructuring, FACTS Technology, Optimal Power Dispatch and Security Analysis, Power System Dynamics, Operation and Control, Distribution System Planning and Demand Side Management, and Application of Genetic Algorithms and Artificial Neural Networks in Power Systems. His work bridges theoretical concepts with practical applications, particularly in smart grid technologies and renewable energy integration. His publication record reveals a consistent research trajectory addressing evolving power system challenges, with increasing emphasis on renewable energy integration and computational intelligence techniques. The progression from traditional power system analysis toward smart grid technologies and AI applications demonstrates his ability to adapt research focus to emerging industry needs. His significant professional recognitions include: 2013 IEEE Educational Activities Board Meritorious Achievement Award in Continuing Education Three PhD theses supervised by him receiving the POSOCO Power System Award (2012) Humboldt Research Fellowship (awarded 2005 and 2007) INAE Young Engineer Award (2000) C.B.I.P. Young Engineer Award (1996) Professor Singh has mentored numerous graduate students, with three of his PhD students receiving the prestigious POSOCO Power System Award in 2012. His research has attracted substantial funding and collaboration opportunities, supporting advanced work in power systems analysis and control. His laboratory focuses on power system simulation, renewable energy integration studies, and smart grid technology development, with a research team comprising PhD scholars and industry collaborators working on cutting-edge power engineering problems.

• Power Systems
• Power System Restructuring
• FACTS Technology
• +8 more

Debasis Das serves as Associate Professor in the Department of Inorganic and Physical Chemistry at the Indian Institute of Science (IISc), Bangalore, where he maintains his laboratory in room C107 of the Chemical Sciences Building. His research program focuses on the following key areas: Chemical Biology Bioinorganic Chemistry Enzymology Membrane Proteins Protein Engineering His interdisciplinary group employs chemistry, biochemistry, and molecular biology tools to investigate metallo-enzyme mechanisms and develop applications in green energy and therapeutics. Analysis of his publication record (2008-2018) reveals sustained focus on enzyme kinetics and mechanism, particularly for phosphoglycosyl transferases and aldehyde-deformylating enzymes. His work integrates structural biology, enzyme engineering, and assay development with applications in bacterial cell wall biosynthesis and biofuel production. The Das research group operates as a dynamic interdisciplinary team exploring fundamental biochemical questions with translational potential for energy and medical applications.

• Chemical Biology
• Bioinorganic Chemistry
• Enzymology
• +2 more

Gurunath Gurrala serves as an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Science (IISc), Bangalore. His research focuses on power systems dynamics, high-performance computing applications, and renewable energy integration. He maintains active collaborations with international institutions including Oak Ridge National Lab and Texas A&M University. His research interests center on Power Systems Analysis and Control , with specialization in High Performance Computing Applications, Nonlinear and Intelligent Control, Weak Grid Integration of Renewables, Microgrid Protection, and Smart Grid Stability. His work bridges theoretical control systems with practical power grid challenges, particularly for renewable-rich grids. His recent publications demonstrate a strong interdisciplinary trend, spanning power systems (35%), control theory (25%), renewable integration (20%), and emerging applications in biomedical engineering and environmental systems (20%). Key recurring themes include grid stability under high renewable penetration, advanced protection schemes for microgrids, and computational methods for power system analysis. IEEE Power and Energy Society (PES) Outstanding Engineer Award 2018 Young Engineer Award 2015, Indian National Academy Engineers Best Conference Paper, IEEE PES General Meeting 2015 Best Ph.D Thesis Award (Prof.D.J.Badkas Medal) 2010 Elevated to Senior Member IEEE (2016) Professor Gurrala has secured competitive research funding including the Young Scientist Grant from DST (2015) and International Travel Support from SERB (2017). He actively mentors students through PhD and Master's programs while teaching advanced courses including Power System Dynamics and Control (E4 231), Computer Control of Power Systems (E4 233), and Selected Topics in Integrated Power Systems (E4 237). His research group collaborates with power utilities and international research labs on grid modernization challenges.

• Power Systems Analysis and Control
• High Performance Computing Applications
• Nonlinear and Intelligent Control
• +4 more

Karthik P. N. is an Assistant Professor in the Department of Artificial Intelligence at the Indian Institute of Technology Hyderabad (IIT Hyderabad). He previously served as a Research Fellow at the Institute of Data Science, National University of Singapore (NUS), and completed his Ph.D. and Master of Science (Engineering) at the Department of Electrical Communication Engineering, Indian Institute of Science (IISc), Bengaluru, under the guidance of Prof. Rajesh Sundaresan. Earlier, he worked as a Project Assistant in Prof. Chandra R. Murthy's lab at IISc and earned a Bachelor of Engineering in Electronics and Communications from R V College of Engineering, Bengaluru. Ph.D., Electrical Communication Engineering, IISc Bengaluru M.Sc. (Engineering), IISc Bengaluru B.E., Electronics and Communications, R V College of Engineering His research focuses on Probability Theory, Detection and Estimation Theory, Markov Decision Processes , and Multi-armed Bandits , with applications in Federated Learning, Differential Privacy, Reinforcement Learning, Information Theory , and Statistics . Recent work explores optimal strategies for best arm identification in restless bandits and privacy-preserving machine learning. He has received high instructor ratings for courses like Stochastic Processes and Programming for AI , and was honored with the Faculty Teaching Excellence Award 2025 at IIT Hyderabad. His Google Scholar articles highlight advances in 3D point cloud security, railway accident prevention, and vision-language model robustness . Scientific awards include the Faculty Teaching Excellence Award 2025 and First place in the INAE Kanpur Chapter 100 Seconds Competition (2021) . He collaborates with researchers like Prof. Vincent Y. F. Tan and Prof. Yeow Meng Chee, and has served on technical program committees for conferences such as APWDSIT 2025 and ISIT 2025 . Teaching roles at IIT Hyderabad involve graduate-level courses on Probability and Stochastic Processes , cross-listed with Electrical Engineering.

• Probability Theory
• Detection and Estimation Theory
• Markov Decision Processes
• +6 more

Subhradeep Chatterjee is an Associate Professor at the Department of Materials Science and Metallurgical Engineering at Indian Institute of Technology Hyderabad . He holds a PhD in Materials Engineering from IISc Bangalore and has previously worked at Larsen & Toubro Ltd. R&D and the Zernike Institute for Advanced Materials in the Netherlands. His research focuses on phase transformations, microstructural evolution in metallic alloys, and computational modelling of welding/additive manufacturing processes. Education : PhD (IISc Bangalore), ME (Metallurgy, IISc Bangalore), BE (Metallurgical Engineering, R.E. College Durgapur) His research interests span phase transformations during materials processing, microstructural characterization using electron microscopy and X-ray diffraction , and computational models like phase-field and finite element methods . Recent work includes phase separation in thin films, welding of superalloys, and additive manufacturing of high entropy alloys (HEAs). Collaborations involve colleagues at IIT Hyderabad (Prof. Rajesh, Suryakumar) and Dr. Dheepa Srinivasan from Pratt & Whitney. Key publication trends include studies on spinodal decomposition in Ag-Cu thin films, welding process optimization for superalloys, and microstructure-property correlations in HEAs and metallic nanoparticles. His group integrates experimental and computational approaches to link thermodynamics, kinetics, and material performance. Current and past students include Athira K.S. (PhD on superalloy welding), Vivek Chaitanya Peddiraju (Ag-Cu thin films), Pankaj Bandaru (phase-field models for nanoparticles), and Upender Sunkari (HEAs with niobium alloying). MTech scholars like Lakhvinder Khairwal (Haynes 282 welding) and Indu Kolapalli (AM of XH67 superalloy) have also contributed to his research program.

• Phase Transformations
• Electron Microscopy
• Welding and Solidification Processing
• +6 more

Abhinava Tripathi is an Assistant Professor in the Department of Management Sciences at Indian Institute of Technology Kanpur (IIT Kanpur), where he joined in August 2022. He previously served as an Assistant Professor at IIT Roorkee from July 2020 to July 2022. His academic journey includes a PhD in Finance and Accounting from IIM Lucknow (2017-2020), an MBA from IIM Kozhikode (2011), and a B-Tech in Chemical Engineering from IIT Roorkee (2008). Before transitioning to academia, he gained substantial industry experience as Manager at ICICI Bank, Credit Analyst at ICRA, and Deputy Manager at SBI Capital Markets. PhD, Finance and Accounting, IIM Lucknow (2017-2020) MBA, Finance and Accounting, IIM Kozhikode (2011) B-Tech, Chemical Engineering, IIT Roorkee (2008) Dr. Tripathi's research focuses on financial markets, market microstructure, liquidity, and market efficiency, with particular emphasis on banking, corporate finance, investment management, and quantitative finance applications. His work bridges theoretical finance with practical market applications, exploring how market structures affect price formation and information dissemination. He has made significant contributions to understanding liquidity patterns in both traditional and cryptocurrency markets, as well as examining market efficiency during extreme events like the COVID-19 pandemic. His recent publications demonstrate a strong focus on market microstructure, with particular attention to liquidity commonality across different market conditions and asset classes. His research employs advanced econometric techniques to analyze market behavior during normal and stressed periods, with applications to both developed and emerging markets. Dr. Tripathi has published in prestigious journals including Energy Economics (A*), Australian Journal of Management (A), Applied Economics (A), and Finance Research Letters (A). Advisory to National Stock Exchange of India (NSE) on course development and training programs (2021-present) Advisory to Uttarakhand Government on project/consultancy matters (2020-present) Reviewer for Finance Research Letters, Journal of Behavioral Experimental Finance, and International Review of Economics & Finance Dr. Tripathi supervises multiple PhD students working on diverse topics including market efficiency in carbon markets, ESG funds, cryptocurrency markets, and banking sector dynamics. He has led several sponsored research projects including financial viability assessment for the Kalpasar Project (Gujarat Government), transaction advisory for Uttarakhand Sugars, and Ease of Doing Business study for Ministry of Corporate Affairs. His teaching portfolio includes Security Analysis, Portfolio Management, Algorithmic Trading, and Modern Financial Markets across various institutions including IIT Kanpur, IIT Roorkee, and IIM Shillong.

• Financial Markets
• Market Microstructure
• Liquidity
• +12 more