Praveen Tammana

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.