جستجوی استاد راهنمای دانشگاهی

Om P. Damaniمشاهده پروفایل

استاد

• Technology for Development
• System Dynamics
• Modeling and Simulation
• +۷ مورد دیگر

Om P. Damani is a Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Bombay. He serves as Faculty In-Charge of the Sustainable Development unit of the Center for Policy Studies and is also associated with the Centre for Technology Alternatives for Rural Areas (CTARA). His work bridges computer science with social development challenges, focusing on practical applications for rural communities. Dr. Damani's research interests span Technology for Development of the bottom 80%, System Dynamics: Modeling and Simulation for Social Development, System Architecture, and Data Science. His work demonstrates how computational approaches can address complex development challenges through projects like GramDrishti (for detecting rural infrastructure in satellite images), JalTantra (for optimizing water distribution networks), and FAI (Farm Assessment Index for holistic farming practice evaluation). His publications reveal a consistent focus on applying computer science to solve real-world problems in water management, agricultural systems, and rural infrastructure. His research has been recognized with significant awards including the IIT Bombay Industrial Impact Award 2010, IIT Bombay Impactful Research Award 2019, and Best Poster Award at Agriculture Science Congress 2017. Dr. Damani has successfully translated theoretical research into practical tools that address development challenges, particularly in water resource management and agricultural systems. As an educator, he has mentored numerous PhD students including Chintan Tundia, Shreenivas Kunte, Nikhil Hooda, Sivamuthu Prakash Murugan, Dipak L. Chaudhari, Prateek Kapadia, and Manoj K. Chinnakotla. His teaching portfolio includes courses on System Dynamics: Modeling and Simulation for Development (CS 752), Program Derivation (CS 420), and ICT for Development. Dr. Damani's educational background includes a Ph.D. in Computer Sciences from the University of Texas at Austin (1994-1999), B.Tech. in Computer Science and Engineering from IIT Kanpur (1990-1994), and prior professional experience at IBM T J Watson Research Lab and Akamai Technologies.

Veena Bansalمشاهده پروفایل

استاد

• Data Science
• Software Project Management
• ERP
• +۳ مورد دیگر

Professor Veena Bansal is a distinguished faculty member at the Department of Management Sciences, Indian Institute of Technology Kanpur. With a PhD from IIT Kanpur (1999), MS from University of Connecticut (1987), and BE from MNREC, University of Allahabad (1984), she has established herself as a leading academic in the fields of Data Science, Software Project Management, and Enterprise Resource Planning. Education: PhD, IIT Kanpur, 1999 M.S., University of Connecticut, USA, 1987 B.E., MNREC, University of Allahabad, 1984 Professor Bansal's research focuses on the intersection of data science and business management, with particular emphasis on enterprise resource planning systems, business process management, and big data analytics applications. Her work bridges theoretical frameworks with practical implementations in diverse sectors including healthcare and mobile commerce. She has made significant contributions to understanding technology adoption patterns in Indian business contexts and the ethical implications of artificial intelligence in enterprise settings. Her recent publications demonstrate a clear trajectory toward integrating machine learning techniques with traditional business management practices, with a growing emphasis on ethical considerations in AI applications. Her research spans both theoretical explorations of affordance theory in big data adoption and practical implementations of data analytics in healthcare and business environments. Awards and Recognition: Commended by the Senate of IIT Kanpur for being rated among the best instructors in Professional courses based on Student Reaction Survey for 2008-2009 First Semester Best paper award for 'Analysis of business process modelling techniques to model informational process perspective' at the 12th Annual International Conference of SOM, IIT Kanpur Professor Bansal has demonstrated excellence in both research and teaching at IIT Kanpur. Her work has received institutional recognition for pedagogical effectiveness while simultaneously contributing to scholarly discourse in management information systems. She continues to be an active researcher with publications spanning multiple high-impact journals and conference proceedings in her field.

Jyothi Veduradaمشاهده پروفایل

استادیار

• Compilers
• Program Analysis
• High-Performance Computing
• +۳ مورد دیگر

Jyothi Vedurada is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Hyderabad (IIT Hyderabad). Her research focuses on compilers, program analysis, high-performance computing (HPC), and software engineering. Prior to joining IIT Hyderabad, she was a postdoctoral researcher at Microsoft Research Lab in Bangalore and worked as a Software Engineer at Hewlett Packard in Chennai. Her research spans four major areas: Compiler Optimizations : Developing global compiler optimizations for CPU-GPU heterogeneous systems to enhance performance across varied hardware environments. ML for PL : Leveraging AI to overcome scalability and semantic challenges in program analysis, with applications in bug detection, API misuse recommendation, and algorithm description generation for Jupyter notebooks. Parallelization : Designing efficient GPU algorithms for tasks like Approximate Nearest Neighbour search and subgraph isomorphism optimization, alongside developing the Tensor Transposition Library for GPUs (TTLG). Concurrency Testing : Creating systematic testing frameworks for concurrent systems, including language-agnostic libraries and mock storage systems to validate weak isolation levels in databases. Scientific Awards & Recognition : Distinguished Artifact Award at ECOOP 2025 Google Research exploreCSR Award (2021) Tata Consultancy Services PhD Fellowship ACM SIGAI, SIGPLAN, and IEEE Travel Grants Advising & Collaborations : Supervising 11 PhD and MTech students, including Soumik Kumar Basu and Karthik V, with projects spanning compiler optimizations, HPC, and AI-driven software analysis. Collaborating with institutions like Microsoft Research and IIT Madras.

Rushikesh K. Joshiمشاهده پروفایل

استاد

• Software Engineering
• Distributed Systems
• Program Analysis
• +۵ مورد دیگر

Rushikesh K. Joshi is a Professor in the Department of Computer Science & Engineering at the Indian Institute of Technology Bombay. His research focuses on computational models for programs, their structures and dynamics, including processes, interactions, concurrency, and distributed systems. He has taught advanced courses like CS 770 (Process Engineering), CS 787 (Language Engineering), and CS 757 (Design and Re-engineering). Research Interests: He specializes in software engineering, distributed systems, program analysis, and code refactoring. His work includes modular process modeling, trace language mining, and consistency models for business processes. He also explores objectification of procedural code through projects like Ox and AccessViz. Notable Projects: Anonymous Remote Computing (ARC), Filter Objects, Constore Graph Database, and Ox (objectification of Linux kernel structures). Funding sources include IBM, Microsoft, Infosys, and the Ministry of Information Technology. Scientific Contributions: His research has led to publications in IEEE Transactions, LNCS, and other venues. He has advised over 100 theses, including Ph.D. students Karnika Shivhare, Omkarendra Tiwari, and Vrinda Yadav.

Supratim Biswasمشاهده پروفایل

استاد

• Programming Languages
• Compiler Optimization
• Parallelizing Compilers
• +۲ مورد دیگر

Supratim Biswas is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay, where he has served since 1995. His academic career spans over four decades, beginning as a Lecturer in the Computer Center in 1980, progressing to Assistant Professor in 1985, Associate Professor in 1990, and achieving full Professorship in 1995. He has held significant administrative roles including Dean of Academic Programs (2007-2010), Head of CSE Department (2000-2003), and Director of IITB-Monash Academy (2009-2010). His research interests focus on Programming Languages, Compiler Optimization, Parallelizing Compilers, Parallel and Distributed computing, and Combinatorial Optimization . Professor Biswas has made substantial contributions to compiler technology, particularly in parallelization techniques for modern architectures. His work bridges theoretical compiler design with practical applications in high-performance computing and CAD systems, demonstrating how compiler optimizations can significantly enhance computational efficiency in real-world applications. The publication record shows a consistent research trajectory spanning nearly four decades, with recent work (2012-2015) focusing on GPU-based parallel algorithms, loop parallelization techniques for non-uniform data dependencies, and mesh processing for CAD applications. His research demonstrates evolution from foundational compiler theory to contemporary parallel architectures, maintaining relevance through practical applications in computational geometry, CAD systems, and high-performance computing. Excellence in Teaching Award (2000) Professor Biswas has supervised over 60 doctoral and master's students, establishing himself as a dedicated mentor in systems software education. His sponsored research portfolio includes significant projects with CDAC (350 lacs), MIT (133 lacs), TCS (81.3 lacs), and Intel Corporation (10 lacs), demonstrating strong industry-academic collaboration. His teaching portfolio spans both undergraduate and postgraduate levels, including foundational courses like Discrete Structures and advanced topics like Parallelizing Compilers, reflecting his commitment to curriculum development across multiple generations of computer science education. His laboratory work has supported students across B.Tech, M.Tech, and Ph.D. programs, with particular emphasis on compiler construction and operating systems. Through the Continuing Education Program, he has extended his expertise to industry professionals, conducting numerous specialized courses for organizations including VSNL, TCS, DRDO, and Reliance.

Amit Acharyyaمشاهده پروفایل

استاد

• VLSI systems for resource-constrained applications
• Low-power design techniques
• Machine-learning hardware design
• +۱۴ مورد دیگر

Professor Amit Acharyya is a full Professor in the Department of Electrical Engineering at the Indian Institute of Technology Hyderabad, India. Previously he served as Associate Professor (2017–2022) and Assistant Professor (2012–2017) at the same institution, and earlier as Assistant Professor at IIT Guwahati and as Research Fellow at the University of Southampton, UK. He currently leads the AESICD Lab and is actively engaged in cutting-edge research spanning VLSI systems, low-power design, machine-learning hardware, biomedical devices, digital arithmetic, hardware security, and electric-vehicle battery monitoring. Education: PhD – University of Southampton, UK Research Interests: Professor Acharyya’s work centers on the design of resource-constrained VLSI systems with emphasis on ultra-low power techniques, hardware accelerators for machine learning, and edge-computing solutions. His group is developing application-specific chips for remote health monitoring targeting cardiovascular diseases, diabetes, autism spectrum disorder, neurological disorders, and orthopaedic challenges. Additional thrust areas include hardware–software co-design for accelerated cancer diagnostics, efficient digital arithmetic circuits, hardware security primitives, real-time battery-health monitoring for electric vehicles, and nanomagnetic logic systems. Scientific Awards & Recognition: Digital Trail Blazer Award, Digital Technology Conclave 2016 Visvesvaraya Young Faculty Fellowship 2015–16 Young Engineer Award, IEI 2015 Visiting Research Fellowships, University of Southampton (2015–2017) & Newcastle University (2016–2017) Summer Fellowship, University of Liverpool 2015 Advising & Funding: He has mentored 15 current PhD scholars and 13 graduated students, many funded by DST, government R&D labs, and industry partners. Research projects span VLSI DSP, IoT for healthcare, structural health monitoring, AI-based fault-tolerant IC design, hardware security, and battery-management systems. Research Laboratory: He heads the Application-Specific Integrated Circuits & Devices (AESICD) Laboratory at IIT Hyderabad, which focuses on developing next-generation low-power SoCs and domain-specific accelerators.

Amey Karkareمشاهده پروفایل

استاد

• Compilers
• Functional Programming
• Program Analysis
• +۳ مورد دیگر

Amey Karkare is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur). He holds a PhD from IIT Bombay and has been affiliated with IIT Kanpur since 2010, progressing through academic ranks to his current role since 2021. Education: PhD, IIT Bombay (2003-2008); B.Tech., IIT Kanpur (1994-1998) Research Interests: His work spans compilers , functional programming , program analysis , code optimization , and programming education . He focuses on improving compiler error messages, automated error repair, and educational tools like Prutor for programming courses. Recent Publications highlight advancements in pedagogical error repair , intelligent problem indicators , error localization , and GPU energy optimization . Notably, his 2023 paper on automated error repair received a Best Paper Award. Awards & Recognitions: Poonam and Prabhu Goel Chair Fellowship (2022) IIT Kanpur 1989 Batch Faculty Award for innovative teaching (2019) Best Faculty of the Year by Computer Society of India (2018) P. K. Kelkar Young Faculty Fellowship (2013-2016) Teaching & Advising : He supervises PhD, M.Tech, and B.Tech students, offering courses like Advanced Compiler Optimizations and Principles of Programming Languages . His projects integrate AI and functional programming in education.

• Data Bases and Information Systems
• Software Engineering
• System Performance Evaluation
• +۲ مورد دیگر

Deepak B Phatak is a Professor at the Department of Computer Science and Engineering, College of Engineering, Indian Institute of Technology Bombay. He has held leadership roles as Head of the CSE Department (1991–1994), Dean of Resources (1995–1998), and founding Head of the Kanwal Rekhi School of IT (1998–2002). His career spans over four decades at IIT Bombay, where he also briefly led the SJ Mehta School of Management (2004–2005) and held the Subrao M Nilekani Chair Professorship (2000–2013). Bachelor’s in Electrical Engineering from SGSITS Indore (1969) M Tech and Ph D from IIT Bombay His research focuses on Databases and Information Systems , Software Engineering , System Performance Evaluation , and IT-enabled Education and Strategy Planning . He pioneered applied research initiatives, including India’s first interactive distance learning program via VSATs (now CDEEP), the ISTE teacher training workshops, and the Aakash Project for low-cost educational tablets. He also established the Affordable Solutions Lab (ASL) to develop accessible technologies like Clickers and open-source e-learning tools. Dr. Phatak has guided 7 PhD and over 170 MTech students. His advisory roles span financial institutions (SBI, RBI, SEBI) and national boards (AICTE, Computer Society of India). He co-founded SINE, India’s top technology incubator, and contributed to the evolution of educational technology policy and practice nationwide. Skoch Foundation Lifetime Achievement Award (2003) Data Quest Lifetime Achievement Award (2008) Dewang Mehta Business School Lifetime Achievement Award (2010) Business Week: Listed among fifty most influential Indians (2009) IIT Bombay Excellence in Teaching Award (2009) IIT Bombay Industrial Impact Award (2010) Padma Shri for Science and Technology by Government of India (2013) His work includes creating India’s first IT incubator (SINE), launching the Ekalavya project for rural educational collaboration, and negotiating the globally recognized Aakash-2 tablet at Rs 2263. He remains a leading advocate for Open Source Software and teaching as a 'Dharma', aiming to position India as a technology-driven global leader.