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Subrahmanya Sastry ChallaView profile

Professor

• Wavelets
• Sparse Optimization Theory
• Inverse Problems
• +7 more

Professor Subrahmanya Sastry Challa is affiliated with the Department of Mathematics at Indian Institute of Technology Hyderabad. His academic journey includes a PhD from IIT Kanpur under Prof. P. C. Das, an M.Sc(Tech) from JNT University, and a B.Sc from Hindu College, Machilipatnam. Research Focus: He specializes in Wavelets and Sparse Optimization Theory Frame Theory and Data-driven Learning Methods Applications in Medical Imaging and Signal Processing His recent work explores sparsity-driven optimization techniques with applications in tomography, ECG signal recovery, and machine learning algorithms. Publications & Collaborations: He has contributed to advancements in compressive sensing, inverse problems, and numerical linear algebra through collaborations with researchers like Dr. Phanindra Jampana and Dr. Praveen Pradhan. Key journals include IEEE Transactions on Signal Processing , Inverse Problems , and Neurocomputing . Teaching: Courses taught include Wavelets & Applications, Compressive Sensing, Numerical Linear Algebra, and Mathematics Behind Machine Learning, emphasizing both theoretical and applied aspects. Administrative Roles: Served as Associate HoD/HoD (2010-2014), Chief Vigilance Officer (2015-2019), and participated in policy-drafting committees during IIT Hyderabad's formative years.

• Communications Theory
• Wireless Communications
• Information Theory
• +1 more

Dr. Ajit Kumar Chaturvedi is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in Communications Theory and Systems. With decades of experience at IIT Kanpur, he has established himself as a leading researcher and educator in wireless communications and information theory. Dr. Chaturvedi earned his B.Tech (1986), M.Tech (1988), and PhD (1995) all in Electrical Engineering from IIT Kanpur, demonstrating his deep institutional commitment. His educational background reflects his dedication to academic excellence at his alma mater. His research focuses on Communications Theory and Systems, with specific expertise in Wireless Communications, Information Theory, and Spread Spectrum Systems. Dr. Chaturvedi's work bridges theoretical foundations with practical applications in modern communication technologies. His contributions have significantly advanced the understanding of signal processing techniques, multiuser detection methods, and error analysis in wireless systems. His research has direct implications for improving the reliability and efficiency of contemporary wireless communication standards. Dr. Chaturvedi's publication record demonstrates consistent contributions to communications engineering, spanning from fundamental signal processing techniques to complex system-level analyses. His work on ISI mitigation, orthogonal sequence design, and error rate analysis shows both theoretical rigor and practical relevance for real-world communication challenges. Distinguished Teacher award of IIT Kanpur (2007) Tan Chin Tuan Fellowship of NTU, Singapore (2008) Supervisor of Best B. Tech Project groups (2002, 2006, 2012) Plenary speaker at the 15th National Conference on Communications (2009) Mentor of IEEE Computer Society International Design Contest winning team (2002) As an educator, Dr. Chaturvedi has supervised numerous award-winning student projects, including three Best B.Tech Project awards. He has mentored teams to international recognition, such as the Microsoft Award for Innovation at the IEEE Computer Society International Design Contest World Finals in 2002. His office is located in ACES 201B at IIT Kanpur, where he continues to contribute to the academic and research mission of the institution.

• Fuzzy Logic
• Soft-Computing
• Health Monitoring
• +9 more

Nishchal K. Verma is a Professor at the Department of Electrical Engineering, Indian Institute of Technology Kanpur. He holds a PhD from IIT Delhi (2007), an M.Tech from IIT Roorkee (2003), and a B.Tech from DEI Agra (1996). His postdoctoral research includes work at the University of Tennessee (2009) and Louisiana Tech University (2008). Specialization: Fuzzy Logic, Health Monitoring, Intelligent Informatics Current Research Interests: Intelligent Data Mining, Computer Vision, Smart Grids, Biomedical Applications His research focuses on Fuzzy Systems , Machine Learning , and Health Monitoring with applications to power systems, biomedical data, and wireless sensor networks. He has developed technologies like the Transducers and Instrumentation Virtual Laboratory and Brain Computer Interface Laboratory , emphasizing predictive modeling and fault diagnosis. Key sponsored projects include DST-funded Fuzzy Rule-Based Image Prediction and DRDO-supported Visual Surveillance Systems . His work spans 15+ years of interdisciplinary publications in journals and conferences. Scientific Awards : Devendra Shukla Young Faculty Research Fellowship (2013-16) He has served as Associate Editor for journals and Chairman of IEEE chapters, with leadership roles in academic administration at IIT Kanpur.

• Computational chemistry
• QM/MM simulations
• Catalysis
• +5 more

Nisanth N. Nair is Professor of Chemistry at the Indian Institute of Technology Kanpur (IITK), India, holding the position since 2018. He obtained his PhD from the Universität Hannover, Germany (2004) after completing his MSc in Chemistry at IIT Madras (2001). His research group pioneers advanced computational-chemistry methods to address grand-challenge problems in energy, healthcare and materials science. Education PhD (2004), Universität Hannover, Germany MSc (2001), Chemistry, Indian Institute of Technology Madras Research Interests Professor Nair’s work is organized around five tightly linked thrusts: Method development: massively parallel QM/MM algorithms, polarizable force-fields, metadynamics and hybrid functionals for large-scale catalytic systems. Energy catalysis: computational design of Rh/Al₂O₃ and Rh/TaON catalysts for efficient water-splitting and H₂ production. Healthcare: molecular mechanisms behind antibiotic resistance in NDM-1 and Class-C β-lactamase enzymes, guiding de-novo inhibitor discovery. Aerospace materials: multi-scale modelling of thermo-oxidative degradation of high-temperature polymers in collaboration with Boeing. Heterogeneous catalysis: olefin hydrogenation on Rh/Y-zeolite and single-atom catalysis phenomena. Publications Trend His recent articles (2011–2013) highlight an integrative approach combining rigorous electronic-structure calculations with micro-kinetic modelling to unravel complex catalytic cycles, antibiotic-resistance pathways and support-effects in single-atom catalysts. Honours & Awards P. K. Kelkar Young Faculty Research Fellow, IIT Kanpur (2012–2015) Young Associate, Indian Academy of Sciences, Bangalore (2012–2015) Young Scientist Medal, Indian National Science Academy, New Delhi (2013) Contact & Resources Office: SL 302, Department of Chemistry, IIT Kanpur, Kanpur 208016, India Phone: +91 512 259 6311 Email: nnair@iitk.ac.in Web: http://home.iitk.ac.in/~nnair

P.M. MohiteView profile

Professor

• Composite Structures Analysis
• Micromechanics of Materials
• Finite Element Analysis
• +6 more

Dr. P.M. Mohite is a Professor at the Department of Aerospace Engineering , Indian Institute of Technology Kanpur , with a career spanning over two decades in composite materials research. He holds a PhD in Aerospace Engineering from IIT Kanpur (2007) and has been a Visiting Assistant Professor (2008-2009) and later Assistant , Associate , and Professor (2019-present) at IIT Kanpur. Research Interests include: Advanced composite structures analysis Micromechanics and damage modeling Finite element adaptive methods Metal plasticity and polymer composites Aerostructural optimization Key Publications focus on damage mechanics, structural optimization, and micromechanical characterization, with recent works on evolutionary algorithm-based composite design and boundary layer effects in laminates. Scientific Awards received: Best Student Award (B.E. Mechanical, 1998) AIAA Students Paper Contest Finalist (2006) Teaching Contributions include core courses like Composite Materials and Finite Element Methods , alongside advanced postgraduate topics in aerospace structural analysis. Advising has impacted 30+ M.Tech/Ph.D. students, including international collaborations with Université de Biskra (Algeria) and Ecole Centrale de Nantes (France).

• Intelligent Systems and Control
• Cognitive Robotics
• Nano-robotics
• +9 more

Laxmidhar Behera is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, specializing in Intelligent Systems and Control. With over two decades of academic experience at IIT Kanpur and international research experience at institutions including Fraunhofer Institute of Autonomous Intelligent Systems in Germany, ETH Zurich, and University of Ulster, he has established himself as a leading researcher in cognitive robotics and intelligent control systems. Dr. Behera's research spans multiple cutting-edge domains including Cognitive Robotics, Nano-robotics, Vision based Control, Soft Computing, Information Retrieval in music and language, Semantic Information Processing, Physics of Complex Systems, Cyber Physical Systems, Formation Control of UAVs, Brain-Computer Interface (BCI), and Sanskrit Computational Linguistics. His interdisciplinary approach bridges traditional control theory with modern computational intelligence techniques, creating innovative solutions for complex real-world problems. His extensive publication record in top-tier journals like IEEE Transactions demonstrates his leadership in areas such as brain-computer interfaces, visual servoing, multi-robot systems, and music information retrieval. Notably, his work on quantum neural networks for EEG filtering and multisatellite formation control has received significant attention in the research community. UKIERI Standard Research Award 2008 Best Paper at International Conf. on Intelligent Sensors and Information Processing (ICISIP-2004) Best Paper at WoSco,02, Int. Conf. High-Performance Computing (HiPC, 2002) AICTE career award for young teacher (1997) Senior Member IEEE Multiple IEEE top accessed articles (2009-2010) As an Associate Editor for Autosoft Journal and Technical Committee Member for Intelligent Control at IEEE Control System Society, Dr. Behera actively contributes to the academic community. His laboratory in the Western Lab - 212A of the Department of Electrical Engineering serves as a hub for research in intelligent systems, where he mentors students and collaborates with researchers worldwide on cutting-edge projects in robotics, control systems, and computational intelligence.

D. L. V. K. PrasadView profile

Assistant Professor

• Computational Materials
• Electronic Structure
• Superconductivity
• +3 more

D. L. V. K. Prasad is an Assistant Professor in the Department of Chemistry at the Indian Institute of Technology Kanpur (IIT Kanpur). He specializes in Computational Materials science with research interests spanning electronic structure of materials, superconductivity in low-Z systems, and phase transitions in complex solids. Education: PhD (2008), University of Hyderabad M.Sc. (2002), University of Hyderabad Research Focus: His work combines quantum mechanical calculations and evolutionary algorithms to predict material structures and properties under extreme conditions. Key objectives include understanding solid-state phase transition mechanisms and designing high-temperature superconductors within BCS phonon-mediated frameworks. Publication Trends: Recent articles (2012-2016) predominantly explore high-pressure material behavior, nanostructured carbon/boron systems, and transition metal oxides, employing computational methods to investigate electronic confinement, chemical bonding, and magnetic properties in novel materials. Professional Experience: NSF Postdoctoral Associate, Cornell University (2011–2013) Max Planck Society Postdoctoral Fellow, MPI-FKF Stuttgart (2009–2011)

Arijit BishnuView profile

Associate Professor

• Theoretical Computer Science
• Randomized Algorithms
• Approximation Algorithms
• +6 more

Arijit Bishnu is an Associate Professor at the Indian Statistical Institute in the Advanced Computing and Microelectronics Unit (ACMU). He has taught courses such as Design and Analysis of Algorithms , Randomized Algorithms , Computational Geometry , and Algorithms for Big Data over multiple years (2008–2025), focusing on theoretical and applied aspects of computer science. Research Interests: His work spans Theoretical Computer Science , Randomized and Approximation Algorithms , Computational Geometry , and Combinatorics . He explores problems in sublinear algorithms, streaming computation, geometric data analysis, and complexity theory. Publications: Recent papers include contributions to STOC 2025 , RANDOM 2025 , and APPROX 2024 , covering topics like property testing, triangle counting complexity, and streaming algorithms. Collaborations with researchers like Sourav Chakraborty, Gopinath Mishra, and Sayantan Sen highlight his interdisciplinary approach. Academic Leadership: He has co-organized research courses such as Approximation Algorithms and Topics in Algorithms and Complexity , emphasizing mentorship and knowledge dissemination in theoretical computer science. His comprehensive work integrates algorithmic innovation with rigorous mathematical analysis, advancing computational techniques for large-scale and geometric data.

Aravind N.R.View profile

Associate Professor

• Algorithms
• Graph Theory
• Combinatorics
• +5 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.

Renu JohnView profile

Professor

• Biomedical Imaging
• Optical Coherence Tomography
• Nanoparticles
• +8 more

Renu John is a Professor in the Department of Biomedical Engineering at Indian Institute of Technology Hyderabad . He earned his Ph.D. in Physics (Optics) from IIT Delhi in 2006 and has held postdoctoral positions at Duke University and University of Illinois . He leads the Medical Optics and Sensors Laboratory (MOS) and co-founded the Center for Healthcare Entrepreneurship (CfHE) , focusing on affordable healthcare solutions for India. Research Interests : Biomedical Imaging, Optical Coherence Tomography (OCT), Digital Holography, AI/ML in Diagnostics, Microfluidic Biosensors, 3D Bioprinting, Nanoparticle-based Imaging, Optical Elastography. Awards : Best Paper & Poster Awards at international conferences (2018-2019), Samsung Innovation Award (2018) for smartphone-based oral cancer detection. Grants : Lead investigator for an ICMR Center of Excellence (15.2 Cr funding) in Medical Devices and Diagnostics. Students : Mentored over 20 researchers, including current and alumni Ph.D. candidates working on OCT, microfluidics, AI-driven imaging, and biosensor development. Labs & Innovations : The MOS Lab develops cutting-edge technologies like lensless microscopes, FF-OCT systems, and dual-modality biosensors. His team has filed 18 patents and published 117 international journal articles, with projects spanning from in vivo magnetomotive imaging to organ-on-chip platforms for disease modeling.

Karthik P. N.View profile

Assistant Professor

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

Ravikumar BhimasinguView profile

Professor

• Computer-aided power system analysis
• Renewable energy integration
• AI applications in power systems
• +5 more

Ravikumar Bhimasingu is a Professor at the Indian Institute of Technology Hyderabad , Department of Electrical Engineering. His work focuses on advanced power system analysis and control strategies for renewable energy integration. Research Interests : Computer-aided power system analysis, AI applications for power systems, microgrid control, power electronics, renewable energy integration Lab : Leads research activities in power systems and renewable energy Scientific Contributions : With over 72 publications, his recent work explores: Grid-forming inverters and predictive control techniques Fault location algorithms using synchrophasor data Virtual inertia and transient stability improvements Advanced EV charging systems with power quality enhancements

• Entropy Estimation
• Theory of Stochastic Orders
• Estimation in Restricted Parametric Space
• +1 more

Neeraj Misra is a Professor in the Department of Mathematics & Statistics at the Indian Institute of Technology Kanpur (IIT Kanpur), where he has held faculty positions since 1996. He earned his PhD (1991) and M.Sc. (1985) in Statistics from IIT Kanpur, and a B.Sc. from Kanpur University (1982). His research focuses on theoretical statistics and applied probability. Research Interests: His work spans entropy estimation, stochastic ordering theory, estimation under parameter restrictions, and ranking/selection methodologies, with applications in reliability engineering and molecular sciences. Key themes include: Development of nonparametric entropy estimators Stochastic comparisons for system reliability Optimization in statistical decision theory Inference for restricted parameter spaces Publication Trends: His recent articles (2003–2015) demonstrate a consistent focus on reliability modeling, stochastic ordering, and entropy estimation. Works frequently involve gamma distributions, redundancy allocation in engineering systems, mixture models, and multivariate circular distributions, blending theoretical rigor with practical applications. Awards & Honors: Jacob Wolfowitz Award (2003) for theoretical advances C. L. Chandna Mathematics Award (2003) for research/teaching excellence All India Rank #2 in Mathematics (National Entrance Exam, 1985) Outstanding Teaching Recognition at IIT Kanpur He has held visiting positions at West Virginia University, Marquette University (USA), and KU Leuven (Belgium).

• Graph theory
• Combinatorics
• Algorithms

Ajit A Diwan serves as a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay, where he has maintained continuous faculty membership since 1988. His work bridges theoretical computer science and discrete mathematics, with emphasis on structural graph properties and combinatorial optimization. His academic foundation includes a B.Tech from IIT Bombay (1983) and a Ph.D. from the Tata Institute of Fundamental Research Bombay (1989). These qualifications underpin his decades-long research trajectory in discrete structures. Diwan's research program focuses on graph theory, combinatorics, and algorithm design. He investigates decomposition theorems, factorization problems, and extremal properties of graphs, particularly examining planar graphs, cubic graphs, and cycle structures. His methodological approach combines combinatorial reasoning with algorithmic applications, contributing to fundamental understanding in discrete mathematics. Analysis of his 23+ publications (2000-2024) reveals persistent investigation into graph decomposition patterns, with recent work exploring modular cycle constraints (2024), clique factors in graph powers (2022), and structural properties of planar cubic graphs (2022). These contributions consistently appear in premier venues like the Journal of Graph Theory and Discrete Mathematics. Professor Diwan has mentored three Ph.D. students to completion on topics including upward planar drawings, locally connected planar graphs, and degree-constrained subgraphs. His M.Tech supervision spans five projects covering graph subdivisions, factorization in graph powers, and partitioning algorithms, demonstrating active engagement in graduate education.

K Siva KumarView profile

Professor

• Multi-level Inverters
• Induction Motor Drives
• Micro-grids
• +3 more

K Siva Kumar is a Professor in the Department of Electrical Engineering at Indian Institute of Technology Hyderabad . His research focuses on multi-level inverters , induction motor drives , and micro-grid systems , with applications in renewable energy and electric vehicles . He holds a Ph.D. in Electrical Engineering from IISc Bengaluru (2010), an M.Tech in Power Electronics from NIT Warangal (2006), and a B.Tech in Electrical and Electronics Engineering from Sri Venkateswara University (2004). He joined IIT Hyderabad in 2011, progressing from Assistant Professor to Professor in 2022. His research interests span power quality and control , Pole Phase Modulation (PPM) , and Open-end winding induction motor drives . His publications (over 20 in 2021-2025) focus on photovoltaic systems , electric vehicle propulsion , and advanced inverter topologies . Scientific recognitions include: Fellow Indian National Academy of Engineers (FNAE) - 2024 Teaching Excellence Award (2021-22), IIT Hyderabad IETE-BIMAL BOSE AWARD - 2018 Senior Member IEEE Best Paper Awards at IEEE ICIAfS (2014), ANSYS Convergence Conference (2014), and IEEE ISIE-2009. He has supervised 15 Ph.D. and M.Tech students , including current scholars Tukaram Alias and Saurabh P Dhavjekar , and alumni like Kiran Kumar N and Madhukar Rao A . His teaching portfolio includes undergraduate courses in Power Electronics and Electromechanical Energy Conversion , and postgraduate courses in Electrical Drives and Multilevel Converters .