Vishnu Narayanan Moothedath

Vishnu Narayanan Moothedath is a doctoral student and researcher at KTH Royal Institute of Technology, working in the Division of Information Science and Engineering under the School of Electrical Engineering and Computer Science (EECS). He conducts research under the supervision of Prof. James Gross and co-supervision of Prof. György Dán, focusing on improving communication systems and edge computing through statistical guarantees and optimization.

His educational background includes:

• Master's Degree (M.Tech): Communication Systems from IIT Madras under Professor Srikrishna Bhashyam
• Bachelor's Degree: Electronics and Communication from NIT Calicut

Vishnu's research spans two primary interconnected domains addressing critical challenges in modern communication infrastructure:

• Intelligent Resource Optimization: Developing methods to reduce data capture, communication, and processing through intelligent task/compute sampling and hierarchical inference offloading policies, with focus on energy efficiency and responsiveness
• 5G Network Characterization: Stochastic analysis of 5G cellular networks examining delay violation probability, resource utilization, and HARQ configurations, with special emphasis on URLLC and industrial networks requiring strict service-level agreements

His publication record demonstrates a clear evolution from fundamental communication theory (beamforming algorithms) to cutting-edge applications in edge AI and network optimization. Recent work explores hierarchical inference at the network edge, energy-efficient sampling policies, and realistic modeling of human behaviors for wearable cognitive assistance, revealing consistent focus on balancing performance, energy efficiency, and responsiveness in constrained environments.

Vishnu collaborates extensively within Prof. James Gross's research group at KTH. His contributions to experimental platforms like Ainur and ExPECA enable repeatable, end-to-end wireless edge computing research, providing valuable infrastructure for the broader research community working on trustworthy edge applications and latency-sensitive systems.