"Talent is something you make bloom, Instinct is something you polish."
About Me
Currently, I serve as a Postdoctoral Researcher at KAUST, collaborating with Prof. Mohamed-Slim Alouini on next-generation wireless systems, including NTNs and HAPS. My academic foundation was built at IIT Delhi, where I completed my PhD under Prof. Gourab Ghatak. My doctoral work leveraged Stochastic Geometry for the analysis and optimization of wireless and automotive radar networks. In the latter stages of my PhD, I developed a strong interest in learning theory, which led to research on Sharpe ratio optimization using multi-armed bandit algorithms.
Research Interests
My current research interests are in two directions:
- Stochastic modelling of wireless networks
- Multi-armed bandits and online learning
Publications
Preprints and Submissions
- 1. A Spherical Stochastic Geometry Framework for Patrol-Based HAPs Network: Coverage and Energy Efficiency Analysis Submitted
- 2. Order Optimal Regret Bounds for Sharpe Ratio Optimization under Thompson Sampling Submitted
- 3. A Note on Exact State Visit Probabilities in Two-State Markov Chains
Journal Papers
- 1. Modeling and Statistical Characterization of Large-Scale Automotive Radar Networks IEEE Transactions on Signal Processing, Vol. 74, Jan 2026
- 1. Fine Grained Analysis and Optimization of Large Scale Automotive Radar Networks IEEE Transactions on Signal Processing, Vol. 73, July 2025
- 2. Binomial Line Cox Processes: Statistical Characterization and Applications in Wireless Network Analysis IEEE Transactions on Wireless Communications, Vol. 23, No. 10, October 2024
Conference Papers
- 1. Optimization of Beamwidth in Automotive Radars Based on Statistics of Street Geometry ICASSP 2025, Hyderabad, India
- 2. Impact of Urban Street Geometry on the Detection Probability of Automotive Radars IEEE Radar Conference 2024, Denver, Colorado
- 3. Analyzing Wireless Networks using Binomial Line Cox Processes IEEE WiOpt 2023, NTU, Singapore
Contact
Email: mohammadtaha.shah@kaust.edu.sa