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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

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.

• High Performance Computing
• Parallel Computing
• Computer Systems
• +4 more

K. V. Raghavan is an Associate Professor at the Department of Computer Science and Automation in Indian Institute of Science, Bangalore . His research focuses on programming languages , program analysis , and software engineering , with an emphasis on automated tools for program verification and transformation. Teaching: Courses include Program Analysis and Verification (Aug-Dec 2024) and Principles of Distributed Software (Jan-Apr 2025), covering topics like abstract interpretation , dataflow analysis , lambda calculus , Hoare logic , Docker , and Kubernetes . Service: Served as PC co-chair for the Int. Symposium on Automated Technology for Verification and Analysis (ATVA 2025) . Research: Active opportunities for Project Assistant/Associate and Post Doc positions in his group.

• Programming Languages
• Program Analysis
• Software Engineering
• +5 more

Virendra Singh is a Professor at the Indian Institute of Technology Bombay , affiliated with both the Department of Electrical Engineering and Department of Computer Science & Engineering . He leads the Computer Architecture and Dependable Systems Lab (CADSL) and coordinates the Indo-Japanese Joint Laboratory for Intelligent Dependable Cyber Physical Systems and the Information Security Research and Development Centre (ISRDC). Ph.D. in Computer Science from Nara Institute of Science and Technology (NAIST), Japan (2002-2005) M.E. and B.E. in Electronics & Communication from Malaviya National Institute of Technology (MNIT), Jaipur (1994-1996 and 1990-1994) Research Interests : Virendra Singh focuses on Cyber Security , Computer Architecture , Fault-Tolerant Computing , Formal Verification , Trusted Computing , and Blockchain Technology . His work integrates security into hardware design, with a strong emphasis on Cyber Physical Cognitive Systems and Software Defined Networking . Recent Publications highlight advancements in cache security , quantum-resistant cryptography , malware detection , and heterogeneous computing , reflecting his interdisciplinary approach. Awards : SP Sukhatme Excellence in Teaching Award (2021) Students : He currently supervises 15 Ph.D. students, advancing cutting-edge research in security and architecture.

• Cyber Security
• Computer Architecture
• Compiler Support for Modern Architectures
• +6 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.

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

Raghavendra Achar is an Associate Professor at the School of Computer Engineering , affiliated with Manipal University in Manipal, Karnataka, India. He holds degrees in Computer Science and Engineering, including a PhD, and contributes extensively to research in technology-driven solutions. Education : BE (CSE), MTech (CSE), PhD (CSE) His research spans Cloud Computing , Machine Learning , and Medical Imaging , with a focus on optimizing cloud resources, developing fuzzy logic systems for medical diagnostics, and enhancing autonomous vehicle technologies. Recent works include: 2024: Cross-layer refinement network for autonomous vehicle localization 2023: Fuzzy logic-based OCT image analysis for diabetic macular edema 2020: Cloud provider selection mechanisms and VM placement strategies 2018: Energy-efficient cloud resource provisioning He collaborates across disciplines, particularly in Artificial Intelligence and Healthcare Technology , though no specific awards or grants are highlighted in the provided text.

• Cloud Computing
• Machine Learning
• Autonomous Vehicles
• +4 more

Sachchida Nand Tripathi is a Professor at the Department of Civil Engineering and Department of Sustainable Energy Engineering at Indian Institute of Technology Kanpur . With a career spanning over two decades, he has held leadership roles including Head of Civil Engineering (2018-2021), and maintains adjunct professorships at IIT Delhi's Centre of Excellence for Research on Clean Air (CERCA) and IIT Kanpur's Department of Earth Sciences. PhD in Environmental Engineering (University of Reading, UK, 2000) M.Tech in Environmental Engineering (MNIT-Allahabad, 1995) B.Tech in Civil Engineering (IIT-BHU, 1992) His research bridges Aerosol Science , Climate Change , and Air Quality Monitoring , with a focus on low-cost sensor development , aerosol-cloud-climate interactions , and nuclear safety aerosol dynamics . His work integrates laboratory experiments with field campaigns, particularly in the Indo-Gangetic Plain. Recent publications highlight machine learning calibration of air quality sensors , Covid-19 pollution reduction impacts , and radiative forcing analysis . Collaborative projects span institutions like Georgia Tech, University of Manchester, and CNRS-LISA. Major Awards : J C Bose National Fellow (2021), Shanti Swarup Bhatnagar Prize (2014), UP Ratna Award (2018) Students : Mentored 15+ PhD graduates now at institutions like Aarhus University, Yale, and BARC He leads the Aerosol-Climate-Health Research Group , maintains international collaborations, and contributes to policy through India's National Wind Tunnel Facility and National Centre for Flexible Electronics.

• Air Quality
• Climate Change
• Aerosol Science and Technology
• +3 more

Dr. Mallikarjun Tatipamula is a distinguished academic professional currently serving as a Professor. His work spans cutting-edge technological domains at the intersection of telecommunications, cloud computing, and artificial intelligence. Research Focus: 5G networking and distributed systems Technical Expertise: Edge computing, SDN/NFV architectures Technological Innovation: AI/ML integration in IoT and network infrastructure

• 5G
• Distributed Cloud Computing
• Edge Computing
• +5 more