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Jyothi VeduradaView profile

Assistant Professor

• Compilers
• Program Analysis
• High-Performance Computing
• +3 more

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.

Supratim BiswasView profile

Professor

• Programming Languages
• Compiler Optimization
• Parallelizing Compilers
• +2 more

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.

Praveen TammanaView profile

Assistant Professor

• Systems and Networking
• Network Security
• Software-Defined Networking
• +7 more

Dr. Praveen Tammana is an Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Hyderabad , where he leads the NetX lab focusing on systems, networks, and security research. He completed his PhD from University of Edinburgh (2013-2018) and holds a Masters from IIT Madras (2009-2011). Education: Ph.D in Computer Science, University of Edinburgh, UK (2013-2018) Masters in Computer Science, IIT-Madras, India (2009-2011) B.E. in Computer Science, Vasavi College of Engineering, Osmania University (2005-2009) Research Focus: His research spans systems and networking , network security , software-defined networking (SDN) , machine learning for networks , wireless communication , high performance computing , and cybersecurity . His lab specializes in programmable data planes using technologies like P4, eBPF, DPUs, and PISA switches. Research Applications: His recent work demonstrates strong focus on AI infrastructure systems , including distributed AI learning and serving, networked robotics, GPU-centric packet processing, and edge cloud applications for autonomous systems. His research bridges the gap between networking infrastructure and AI workloads. Recent Publications Trend: His 2021-2025 publications show significant contributions to network security , programmable switches , edge computing , and AI systems integration . Key themes include securing traffic control systems, AI workload optimization, malicious traffic detection, and real-time applications for autonomous vehicles. Current Funding: Actively funded by industry partners including Mondee (systems for AI workloads), Marvell Technology (data acceleration offload), and ZF India (efficient load-balancer for edge applications). Lab and Team: Leads NetX lab at IIT Hyderabad, actively recruiting full-time research candidates for exciting projects in AI infrastructure, networked systems, and programmable networks. The lab focuses on building next-generation systems for AI workloads and secure network architectures.

Sashikumaar GanesanView profile

Professor

• Scientific Machine Learning
• Physics-Informed Neural Networks
• High-performance computing
• +7 more

Prof. Sashikumaar Ganesan is a Professor at the Indian Institute of Science (IISc), Bangalore, where he leads the AI for Research and Engineering eXcellence (AiREX) Lab. He also serves as the Founder and Chief AI Officer of Zenteiq AiTech Innovations and has held leadership positions including Chairman of the CDS Department (2018-2024) and Programme Director for Advanced Programs in Gen AI, Computational Data Science and AI, and AI & MLOps since 2020. His research interests include: Scientific Machine Learning (SciML) Physics-Informed Neural Networks (PINNs) High-performance computing Hardware-aware numerical methods Machine Learning Operations (MLOps) Computational Science Prof. Ganesan's work focuses on integrating scientific computing with machine learning to advance AI applications in scientific and engineering domains. His research spans AI for aerospace and defense applications, scientific machine learning, MLOps frameworks, and computational science including finite element analysis and fluid dynamics modeling. He has developed science-native Foundation Models through his company Zenteiq.ai to enhance AI-driven R&D in aerospace and defense sectors. His significant projects include the Indo-German Partnership Program (2020-2024) focused on hardware-aware numerical schemes for multi-GPU supercomputers and the Shell India project on Large Scale Simulation augmented by AI for wind turbine farms. He has mentored over 25 students and published more than 60 works, including the book 'Finite Elements: Theory and Algorithms' (Cambridge University Press, 2017). Prof. Ganesan teaches courses including 'Generative and Agentic AI in Practice' (2025), 'AI and Machine Learning' (2024), and 'High-Performance Computing and Data Science,' while also contributing to societal discourse through COVID-19 projections featured in major Indian media outlets.

Amey KarkareView profile

Professor

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

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.

Swarnendu BiswasView profile

Assistant Professor

• Programming Languages
• Compilers
• Runtime Systems
• +7 more

Swarnendu Biswas is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur. He teaches courses including Programming for Performance (CS 610), Analysis of Concurrent Programs (CS 636), and Compiler Design (CS 335), demonstrating his expertise across multiple areas of computer systems. His research interests center on Programming Languages, Compilers, Runtime Systems, and Parallel Software Systems. He leads the PROSPAR (Programming Languages and PARallel Systems) research group, which focuses on developing techniques to build efficient and correct parallel software through program analysis, compiler optimizations, and runtime systems. His recent publications reveal a strong trend in addressing fundamental challenges in parallel computing, with work spanning cache coherence, false sharing detection, data race analysis for GPUs, verification of neural networks, and thermal-aware management of heterogeneous systems. His research bridges theory and practice with significant contributions to both hardware and software aspects of parallel systems. His scientific achievements have been recognized through multiple prestigious awards: Google India Research Award 2021 Google Explore CSR 2022 Research Grant from Intel Corporation SERB Start-up Research Grant 2019 Google Cloud Platform Research Credits (2019, 2020) IITK Initiation Grant 2019 As an advisor, he mentors several PhD and MTech students working on cutting-edge research in parallel systems. His PROSPAR group has secured significant funding from industry and government sources, supporting innovative research in programming languages and parallel systems. The group actively collaborates with industry partners including Google and Intel, addressing real-world challenges in parallel computing. He leads the PROSPAR research group at IIT Kanpur, which brings together faculty, PhD students, and MTech researchers to tackle challenging problems at the intersection of programming languages, compilers, and parallel systems. The group maintains strong industry connections and focuses on practical solutions that can be deployed in real systems.