CV

Education

• Ph.D in Computer Engineering, The University of Texas at Austin, Present

• M.S. in Electrical and Computer Engineering, Northeastern University, Dec 2023

• B.Tech. in Electronics Engineering, VJTI, 2021

Work experience

• Sept 2024 - Present: Graduate Research Assistant
  • The University of Texas at Austin
  • Duties included: Conducting research on AI-enabled wireless systems, over-the-air federated learning, and V2X digital twins. Developing and testing algorithms on real-world software-defined radio (SDR) testbeds.
  • Supervisor: Professor Kaushik Chowdhury
• Sept 2023 - Aug 2024: Stipended Graduate Research Assistant
  • Northestern University
  • Duties included: Applying Federated Learning to perform Channel Estimation in 5 G networks and exploring Air Computation to reduce the communication overhead. Enabling the design of end-to-end Learnable Wireless Communication Systems.
  • Supervisor: Professor Kaushik Chowdhury
• Sept 2022 - Aug 2023: Research Assistant
  • Northeastern University
  • Duties included: Creating a Digital Twin to enable efficient V2I communication in self-driving cars using visual and position sensors and Deep Learning models
  • Supervisor: Professor Kaushik Chowdhury

Skills

• Programming Languages: Python, MATLAB, C/C++, Java, JavaScript, GoLang • Simulation Softwares - Blender, Blensor, Wireless Insite, NVIDIA Sionna and SionnaRT • Software Tools – Tensorflow, PyTorch, Ubuntu, GNURadio, UHD, OAI, OpenCV, Docker, Git, Github • Hardware Platforms – USRP X310, USRP X410, USRP 2974, Talon AD7200 60 GHz Wi-fi Routers, Raspberry Pi 3B

Publications

Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming

B. Salehi, U. Demir, D. Roy, S. Pradhan, J. Dy, S. Ioannidis, and K. R. Chowdhury, "Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming", IEEE Transactions on Networking, accepted, March 2024.

DITTO: DIgital Twins for Testing and Optimizing Wireless Decisions

R. Kumahia, U. Demir, S. Pradhan, B. Salehihikouei, K. Chowdhury and S. Ioannidis, "DITTO: DIgital Twins for Testing and Optimizing Wireless Decisions," 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom), Hong Kong, China, 2024, pp. 121-128, doi: 10.1109/MetaCom62920.2024.00031.

Digital Twins for Maintaining QoS in Programmable Vehicular Networks

U. Demir, S. Pradhan, R. Kumahia, D. Roy, S. Ioannidis, and K. Chowdhury, "Digital Twins for Maintaining QoS in Programmable Vehicular Networks," in IEEE Network Magazine, May 2023.

COPILOT: Cooperative Perception using Lidar for Handoffs between Road Side Units

S. Pradhan, D. Roy, B. Salehi, and K. R. Chowdhury, “COPILOT: Cooperative Perception using Lidar for Handoffs between Road Side Units,” IEEE Conference on Computer Communications (INFOCOM), May. 2024

Experimental Demonstration of Over the Air Federated Learning for Cellular Networks

S. Pradhan et al., "Experimental Demonstration of Over the Air Federated Learning for Cellular Networks," 2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Barcelona, Spain, 2025, pp. 1-7, doi: 10.1109/ICMLCN64995.2025.11140494.,

SMART: Sim2Real Meta-Learning-Based Training for mmWave Beam Selection in V2X Networks

D. Muruganandham, S. Pradhan, J. Gu, T. Braun, D. Roy and K. Chowdhury, "SMART: Sim2Real Meta-Learning-Based Training for mmWave Beam Selection in V2X Networks," in IEEE Transactions on Mobile Computing, vol. 24, no. 10, pp. 11076-11091, Oct. 2025, doi: 10.1109/TMC.2025.3576203.

ATLAS: AI-Native Receiver Test-and-Measurement by Leveraging AI-Guided Search

Belgiovine, M., Pradhan, S., Lange, J., Löhning, M. and Chowdhury, K., 2025. ATLAS: AI-Native Receiver Test-and-Measurement by Leveraging AI-Guided Search. arXiv preprint arXiv:2508.12204.