Devpriya Kumar is an Associate Professor in the Department of Cognitive Science at Indian Institute of Technology Kanpur (IIT Kanpur) . She earned her PhD in Cognitive Science from the University of Allahabad , with a thesis titled "Event Binding: Causality, Control & Self" under the supervision of Prof. Narayanan Srinivasan. Her research spans the intersections of cognition, perception, and control systems. Education: PhD in Cognitive Science, University of Allahabad (2015) M.Sc. in Cognitive Science, University of Allahabad (2009) B.Sc. in Computer Science, Psychology, and Mathematics, University of Allahabad (2007) Research Interests: Her work delves into the sense of self , agency , emotion perception , and control systems in cognition . She employs a complex systems approach to understand how humans perceive and control their actions and emotions. Publications: Her research has been published in leading journals such as PLoS ONE , Frontiers in Psychology , and Emotion , focusing on agency, emotion perception, and visual attention. Awards and Honors: INSPIRE Faculty Award (2015–2020) Graduate Student Scholarship, University of Allahabad (2009–2014) Contact: Email: devpriya@iitk.ac.in Office: Room 201, Pre-fab Building III, IIT Kanpur
Dr. Abhijit Kushari is Professor and Head of the Department of Aerospace Engineering at the Indian Institute of Technology Kanpur. He holds a PhD from Georgia Institute of Technology and has been a faculty member since 2001, with prior experience as a Postdoctoral Fellow at Georgia Tech. His administrative roles include serving as Associate Dean of International Relations (2015-2017). Education: PhD in Mechanical Engineering, Georgia Institute of Technology (2000) MS in Aerospace Engineering, Georgia Institute of Technology (1995) B.Tech. (Honours) in Aerospace Engineering, IIT Kharagpur (1994) Research Interests: Dr. Kushari's research spans propulsion (rockets, gas turbines), combustion dynamics, liquid atomization, turbo-machinery flows, aeroacoustics, and fire suppression. His work integrates experimental and computational approaches to solve challenges in fluid-structure interaction and flow control, with applications in aerospace and energy systems. Publication Trends: His recent articles focus on jet acoustics, combustion efficiency, fluidic thrust vectoring, and compressor aerodynamics. Common themes include experimental validation of novel nozzle designs, biofuel combustion, and unsteady flow control, reflecting a strong emphasis on sustainable propulsion and aerodynamic optimization. Awards and Honours: Consulting Fellow, World Innovation Foundation Batch of 1970 Research Fellow, IIT Kanpur (2009-2012) Editorial Board roles: Scientific Reports (Nature), Journal of Rotating Machinery , Frontiers in Interdisciplinary Physics Propulsion Panel Member, Aeronautical R&D Board, DRDO Advising and Grants: He has supervised 8 PhD and 60 M.Tech. students in aerospace/mechanical engineering. Secured over ₹20 Crore in funding from DRDO, ISRO, DST, Pratt & Whitney, and others. Key projects include gas turbine combustor design, thrust vectoring systems, fire dynamics, and detonation modeling for defense applications. Laboratories and Teams: Leads advanced propulsion and combustion labs at IIT Kanpur, featuring facilities for spray characterization, thrust measurement, cascade testing, and fire suppression studies. Collaborates with international research teams and industry partners like GE Aviation.
B. V. Rathish Kumar is a Professor at the Department of Mathematics and Statistics , Indian Institute of Technology Kanpur, with a PhD from SSSIHL, Prasanthinilayam. His research spans Numerical Analysis , Computational Fluid Dynamics , Finite Element Methods , and Biomedical Image Processing . Education: PhD in Applied Mathematics (SSSIHL, Prasanthinilayam) His research interests include Wavelet Methods for PDEs , Cardiac Electrophysiology Modeling , Convection in Porous Media , and AI/ML for Differential Equations . He has pioneered courses like Finite Element Error Estimation and AI/ML Methods for PDEs . His recent publications focus on convection dynamics , image processing , and singularly perturbed equations , contributing to fields like Biomedical Engineering and Thermal Systems . Scientific Awards: Fellow of Indian Association of Mathematical Modelling and Simulation (2018) Fellow of National Academy of Sciences (2009) Erasmus Mundus Fellowship (2004) University Gold Medal (1987)
Mohammad Arshad Rahman is an Associate Professor in the Department of Economic Sciences at IIT Kanpur. His research spans Bayesian econometrics, quantile regression, machine learning, and applied econometrics. He has held positions at Zayed University and University of California, Irvine, and currently teaches econometrics and finance courses. Education: Ph.D. Economics, University of California, Irvine (2013) M.S. Statistics, UC Irvine (2011) M.A. Economics, UC Irvine (2009) M.A. Economics, Delhi School of Economics (2006) B.Sc. Economics Hons., St. Xavier's College, Kolkata (2004) Research focuses on developing Bayesian methods for econometric problems, with applications in energy economics, finance, and social policy. Research areas include: Bayesian inference techniques, quantile regression models, machine learning applications in economics, discrete choice modeling, and time series analysis. Awards and Honors: Social Science Merit Fellowship Multiple Summer Research Fellowships All India Post-Graduate Scholarship Analyst Accolade Award
Ketan P. Detroja is an Associate Professor in the Department of Electrical Engineering at Indian Institute of Technology Hyderabad . With a Ph.D. from IIT Bombay (2006) and a specialization in Multivariable Control, Distributed State Estimation, and AI/ML for Control Applications , his research focuses on ensuring fault-tolerant and economical operation of microgrids , developing distributed Kalman filtering techniques , and applying machine learning to process monitoring and control . Education: B.E., D. D. Institute of Technology, Gujarat, India Ph.D., IIT Bombay, 2006 Research Interests span Advanced Process Control, Fault Detection and Diagnosis, Cooperative Control, Microgrid Optimization and Control , and Hardware-Software Design for Control Systems . His work addresses challenges in data-driven process monitoring , distributed state estimation , and machine learning-based controller design , particularly for large-scale systems. Scientific Contributions include innovative approaches to inverse-free Kalman filters , reinforcement learning-based PI controllers , and data reduction algorithms for fault diagnosis. His publications reflect a focus on control theory, optimization, and machine learning integration , with applications in power systems, wind energy, and fault diagnostics . Scientific Awards: Best Paper Award at ADCONIP - 2011 Best Paper Award at DYCOPS-2013 Advising has been a significant part of his career, with supervision of Ph.D. students working on topics like fault detection in induction motors , microgrid scheduling , and adaptive control using fuzzy logic . His M.Tech students have explored areas such as visual object tracking, battery SOC estimation, and wind farm control , many of whom are now in prominent roles across academia and industry.
Rajesh M. Hegde is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur. His research spans multiple domains within artificial intelligence, signal processing, and communication systems. He has established himself as a leading researcher in multimodal information processing and has contributed significantly to speech and audio processing techniques. Education: PhD in Computer Science and Engineering, IIT Madras (2005) ME in Electronics Engineering, Bangalore University (1988) BE in IT Engineering, Mysore University Professor Hegde's research focuses on the intersection of machine learning, artificial intelligence, and signal processing, with particular emphasis on multimodal information fusion. His work bridges theoretical foundations with practical applications in speech recognition, wireless communication, and pervasive computing. He has made significant contributions to group delay analysis in speech processing and developed innovative approaches for speaker segregation and multimodal system design. His research has practical implications for improving human-computer interaction through more natural and context-aware interfaces. Analysis of his recent publications reveals a consistent focus on multimodal systems and speech processing, with increasing attention to federated learning approaches and wireless network applications. His work demonstrates a strong theoretical foundation combined with practical implementation expertise, particularly evident in his prototyping of multimedia acquisition systems. Scientific Awards: P.K Kelkar Research Fellowship (2009-2013) Mentor for best undergraduate engineering design project award at UC San Diego (2005-06) ISCA Grant for INTERSPEECH 2004 IIT Madras PhD thesis recommended for IBM best thesis award (2005) Programme Committee member for ISCA Winter schools Commendation by IIT Kanpur for teaching excellence Professor Hegde has supervised multiple research projects and mentored students in developing innovative multimedia systems. His work on multimodal situation awareness systems has received recognition for its interdisciplinary approach. He has secured research funding through fellowships and institutional support, enabling his laboratory to maintain cutting-edge research facilities. His laboratory is located in ACES 203 and 204 at IIT Kanpur, where his research team works on multimodal information processing, wireless communication systems, and speech/audio processing applications. The lab maintains strong connections with international research institutions, particularly through his involvement with ISCA and previous collaborations with UC San Diego.
Professor K. Muralidhar of the Department of Mechanical Engineering at Indian Institute of Technology Kanpur specializes in fluid dynamics, thermal sciences, and optical imaging techniques. With over 35 years of academic leadership, his work bridges experimental and computational approaches in transport phenomena. PhD from University of Delaware (1985) 20+ Doctoral students supervised 500+ Publications across 13 research areas Fellow of ASTFE, NAS, and INAE His key research domains include: Drop dynamics on hydrophobic surfaces Heat transfer in porous media Crystal growth visualization Biofluid mechanics in vascular systems Advanced tomographic imaging Cryogenic flow modeling Recent work focuses on CO2 sequestration , solar desalination , and non-invasive medical diagnostics , with significant contributions to Physics of Fluids and International Journal of Heat and Mass Transfer . Scientific awards highlight his global recognition: 2019: Fellow-ASTFE 2014: Keynote speaker, International Heat Transfer Conference 2006: INAE Fellowship 1995: Institution of Engineers Prize 1981: IIT Madras Institute Medal Pioneering optical measurement techniques for convection and phase change processes, he has developed novel approaches in schlieren tomography, interferometry, and digital holography. His laboratory's patent portfolio includes medical devices and fluid control systems.
Arun K. Saha is a Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur. His academic career at IIT Kanpur spans multiple decades with significant contributions to fluid mechanics and thermal sciences. PhD (IIT Kanpur, 1999) M.Tech (IIT Kanpur, 1994) B.E. (Gauhati University, 1991) Professor Saha's research primarily focuses on Fluid and Thermal Sciences , with particular expertise in computational fluid dynamics, flow characteristics, and heat transfer phenomena. His work bridges theoretical analysis with practical engineering applications, especially in complex flow geometries and transitional flow regimes. His research has significant implications for thermal management systems, aerodynamic design, and fluid machinery optimization. His publication record shows consistent scholarly activity from 2003-2014, with articles appearing in prestigious journals such as Physics of Fluids , ASME Journal of Heat Transfer , and International Journal of Heat and Fluid Flow . The research demonstrates a progression from fundamental flow studies to more complex geometries and phenomena, reflecting deepening expertise in computational methods and fluid mechanics. Best paper (Heat Transfer Division) award by Internal Gas Turbine Institute of ASME, New York, 2006 Professor Saha maintains an active research program with collaborations both within IIT Kanpur and with international researchers. His work continues to influence both academic research and practical engineering applications in fluid dynamics and thermal systems.
Dr. Pradeep Moise is an Assistant Professor in the Department of Aerospace Engineering at the Indian Institute of Technology Kanpur. He holds a Ph.D. in Aerospace Engineering from the Indian Institute of Science, Bengaluru (2019), an M.Sc. in Aerospace Engineering from the same institution (2012), and a B.Tech. in Mechanical Engineering from the National Institute of Technology, Tiruchirappalli (2008). Prior to joining IIT Kanpur, he served as a Research Fellow in Aeronautical & Astronautical Engineering at the University of Southampton, United Kingdom (2020-2022). His research focuses on computational fluid dynamics, specializing in: Direct Numerical Simulations (DNS) and Large Eddy Simulations (LES) Swirling flows and transonic flow phenomena Hydrodynamic stability analysis and modal decomposition techniques High-performance computing applications in fluid dynamics His recent publications demonstrate a consistent focus on vortex dynamics and flow transitions, with particular emphasis on vortex breakdown phenomena in swirling jets and transonic buffet flows. His work frequently appears in high-impact journals like the Journal of Fluid Mechanics.
Suyash P. Awate serves as the Asha and Keshav Bhide Chair Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Bombay, Mumbai, India. His research spans medical image computing, machine learning, image analysis, computer vision, and statistical modeling and inference. His work focuses on developing novel computational methods for medical image analysis, reconstruction, and quality enhancement. Prof. Awate's research interests center on medical image computing, where he develops advanced machine learning techniques for medical image reconstruction, segmentation, and quality enhancement. His work addresses critical challenges in medical imaging such as low-dose PET/CT imaging, uncertainty quantification in segmentation, robustness to out-of-distribution data, and accelerated MRI/fMRI acquisition. He has pioneered methods combining variational inference, expectation maximization, and deep learning to improve medical image quality while reducing radiation exposure and scan times. His research has significant clinical applications in neuroimaging, tumor analysis, and brain function mapping. His recent publications demonstrate a strong trend toward integrating deep learning with classical statistical methods, particularly focusing on uncertainty-aware models for medical image analysis. His work consistently addresses the challenge of robustness in medical imaging, developing methods that maintain performance even with degraded input data or distribution shifts. A significant portion of his research targets clinical applications, particularly in neuroimaging and oncology, with emphasis on practical implementation for real-world medical settings. Prof. Awate actively mentors PhD, MTech, and BTech students at IIT Bombay. His current PhD students include Vatsala Sharma (awarded Microsoft Research India PhD Award), Jimut Bahan Pal (CMInDS Fellow, Prime Minister's Research Fellow), Tejomay Padole (TCS Research Fellow), Subhankar Nag, and Koustav Pal. He also guides MTech/MS students Soumya Mukherjee, Jay Gorakhiya, and Russel Abreo, along with BTech student Varshith Anumalasetty. He teaches several courses including CS 736: Medical Image Computing (inaugurated in 2014), CS 663: Fundamentals of Digital Image Processing, CS 215: Data Analysis and Interpretation, CS 740: Mathematics for Visual Computing, and CS 101: Computer Programming and Utilization. His laboratory focuses on developing computational methods for medical image analysis, with particular emphasis on uncertainty quantification, robust deep learning for medical imaging, and accelerated acquisition techniques. The research group maintains strong collaborations with medical institutions to ensure clinical relevance of their computational methods.
Preeti Malakar is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur. She leads the Scalable Parallel Computing Laboratory (SParCL) and previously held positions as a postdoc and Assistant Computer Scientist at Argonne National Laboratory (USA) and was a Visiting Affiliate at Lawrence Berkeley National Laboratory (USA). She completed her PhD from the Indian Institute of Science Bangalore under Prof. Vijay Natarajan and Prof. Sathish Vadhiyar. Her research focuses on high-performance computing systems, parallel I/O optimization, in-situ analysis, and scientific visualization. Key areas include job scheduling, communication optimization for MPI applications, machine learning for performance prediction, and adaptive frameworks for large-scale simulations. Her work integrates HPC with climate modeling and extreme weather prediction. Recent publications emphasize job scheduling with SLURM, deep learning for climate applications, in-situ visualization, and auto-tuning of parallel I/O parameters. Her research consistently targets optimization of HPC systems for scientific domains. Awards: Best Paper Award, EduHiPC 2019 TCPP Best Paper Award, HiPC 2009 She actively advises students in HPC research, with alumni pursuing careers at NVIDIA, Microsoft, Apple, and SAP Labs. Her lab (SParCL) hosts internships and winter schools, including the ACM Winter School on HPC at IIT Kanpur.
K R Guruprasad is an Associate Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur). With a PhD in Aerospace Engineering from the Indian Institute of Science (IISc) Bangalore, he has established himself as a leading researcher in robotics, motion planning, and multi-robot systems. His research interests span a wide range of topics in robotics including Robotics-Mechanics and Control, Motion Planning, Multi Robots Systems, Cooperative Control, Exo-Skeleton Control, and Voronoi Partition applications. His work particularly focuses on UAV/Drones motion planning, mobile manipulation, and artificial intelligence applications in robotics. His research integrates theoretical foundations with practical implementations, evidenced by his numerous publications in high-impact journals. Prof. Guruprasad's scholarly contributions include a book titled 'Robotics: Mechanics and Control' (PHI, 2019) and several edited volumes. His publication record shows consistent output with an h-index of 11, i10 index of 14, and 382 citations according to Scopus data. His recent work demonstrates strong focus on multi-robot coverage algorithms, UAV applications, and distributed control systems. Among his recognitions are a best presentation award at the IISc-IBM Research Workshop (2008) and a best paper award finalist at DARS 2014. His research has practical applications in search and rescue operations, landmine detection, and autonomous exploration. Prof. Guruprasad maintains active collaborations with researchers globally and has contributed significantly to advancing robotics research in India through his work at IIT Kanpur's Mechanical Engineering department.
Tufan K Guha is an Assistant Professor in the Department of Aerospace Engineering at Indian Institute of Technology Kanpur. Education: Ph.D. in Mechanical Engineering from Florida State University, USA (2017) B.Tech. in Mechanical Engineering from National Institute of Technology, Calicut (2010) Dr. Guha specializes in Experimental Aerodynamics and Fluid Mechanics , with particular expertise in Active and Passive Flow Control. His research focuses on understanding and manipulating fluid flow phenomena to improve aerodynamic performance of various systems. He employs both experimental approaches and computational methods to investigate complex flow behaviors in aerospace applications, with particular emphasis on vortex dynamics and flow control techniques for aircraft components. His research output demonstrates a consistent trajectory in aerospace fluid dynamics, with publications examining wingtip vortices, flow control over airfoils, and morphing structures for performance enhancement. Guha's work bridges fundamental fluid mechanics with practical aerospace engineering applications, contributing to advancements in aircraft design and efficiency optimization through innovative flow manipulation strategies. Dr. Guha maintains an active research program with collaborations both within IIT Kanpur and internationally, building on his postdoctoral experience at Rensselaer Polytechnic Institute where he worked from 2019-2022. His research integrates experimental methodologies with theoretical analysis to address challenging problems in modern aerospace engineering.
Parag Chaudhuri is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay. His research centers on computer graphics, animation, and virtual reality, developing computational models to replicate real-world phenomena for enriched virtual experiences. His educational background includes: Ph.D. from IIT Delhi under Prem Kalra and Subhashis Banerjee Postdoctoral research at MIRALab, University of Geneva with Nadia Magnenat Thalmann Bachelor's degree in Civil Engineering from Delhi College of Engineering Professor Chaudhuri's research spans Computer Graphics with core focus areas in character/natural phenomena animation, visual data understanding, and 2D/3D content generation. His work integrates computer vision, physics simulation, and machine learning to address challenges in virtual worlds. Specific interests include rendering, modeling, VR/AR systems, and vision-based graphics. Applications extend to medical simulation, entertainment, industrial processes, and digital heritage preservation through physics-driven approaches. Recent publications (2022-2025) reveal strong trends in document analysis for multilingual text recognition (especially Indic scripts), real-time hand/character animation in AR environments, and physics-based fracture/deformation systems. His work bridges graphics with machine learning for practical solutions in visual data processing. At IIT Bombay, he mentors graduate students requiring foundational courses CS675 and CS775. He accepts Ph.D./M.S. candidates through official CSE department procedures but does not offer internships to non-IITB students. He leads a research group advancing computational techniques for virtual world creation, focusing on interactive animation systems and visual data synthesis.
Mahesh M S is an Associate Professor in the Mechanical & Aerospace Engineering department at the Indian Institute of Technology Hyderabad . He holds a Ph.D. in Aerospace Engineering from the University of Illinois at Urbana-Champaign. Education Ph.D. (2013), University of Illinois at Urbana-Champaign M.Tech. (2004), Indian Institute of Technology Madras B.Tech. (2004), Indian Institute of Technology Madras Research Interests include Vibroacoustics , Aeroelasticity , Computational Mechanics , Aerodynamics , Aeroacoustics , and High Performance Computing . His group explores compressible multiphase flows, radar cross-section prediction, and shock wave interactions. Current Projects include Internal Ballistics (ARMREB, 2024–2027) and Hydroacoustics (NSTL, DRDO, 2024–2025). Past projects span underwater supersonic jets (DRDO, 2019–2021), cavity aeroacoustics (ADA, 2020–2021), and terminal ballistics (ARB, 2016–2018). Scientific awards : None listed. Students : Dr. Amartya Jana (Ph.D. candidate), Dubba Bhuvana Sai Charan Nath (Ph.D. scholar), Shikshit Nawani (M.Tech), Guruprasad Arya (M.Tech), Akshay Khare (M.Tech), Swapna Yalamanchili (Ph.D. scholar), Vishnu S. B. (Project Scientist), Chele Rajesh (Junior Research Fellow), Sharad Verma (M.Tech), Mangesh Dholwade (M.Tech). Contact : Room C-515, Academic Block C, IIT Hyderabad, Telangana, India. Email: mahesh@mae.iith.ac.in .
