Sparse Dense Neural Network Architecture for Turbo Decoding. - Satya Kumar Vankayala; Swaraj Kumar; D. Thirumulanathan; Seungil Yoon; Issaac Kommineni; V. S. Ch Lakshmi Narayana (ANTS, 2021)

Neural Network Architecture for LLR Computation in 5G Systems and Related Business Aspects. - Satya Kumar Vankayala; Swaraj Kumar; Konchady Gautam Shenoy; D. Thirumulanathan; Seungil Yoon; Issaac Kommineni (WPMC, 2021)

ML Assisted Feedback Mechanism for TCP Congestion Control in Next Generation Wireless Networks. - Vasanth Kanakaraj; Shreyanshu Agarwal; P. Keerthi Priya; Vishal Murgai; Issaac Kommineni (ANTS, 2022)

Neural Network Framework for Modulation and Signal Classification. - Swaraj Kumar; Ashmeet Kaur Chandok; Satya Kumar Vankayala; Issaac Kommineni; Seungil Yoon (ANTS, 2022)

Recurrent Neural Network Architecture for Communication Log Analysis. - Swaraj Kumar; Vishal Murgai; Devashish Singh; Issaac Kommineni (PIMRC, 2022)

Deep-Learning Based Beam Selection Technique for 6G Millimeter Wave Communication. - Satya Kumar Vankayala; Swaraj Kumar; Thirumulanathan D; Anmol Mathur; Seungil Yoon; Issaac Kommineni (PIMRC, 2022)

Federated Learning based Flow Aware AQM for 5G Networks and Beyond. - Shreyanshu Agarwal; Vasanth Kanakaraj; Sukhdeep Singh; Jay Dilipbhai Rathod; Issaac Kommineni (GLOBECOM (Workshops), 2023)

Efficient Deep-Learning Models for Future Blockage and Beam Prediction for mmWave Systems. - Satya Kumar Vankayala; Sai Krishna Santosh Gollapudi; Bharat Jain; Seungil Yoon; K. Mihir; Swaraj Kumar; H. U. Sudheer Kumar; Issaac Kommineni (NOMS, 2023)

Cognitive RAN-Aware Transport Layer for NR-V2X Communications in 5G and Beyond Networks. - Swaraj Kumar; Shreyanshu Agarwal; Vasanth Kanakaraj; P. Keerthi Priya; Issaac Kommineni (VTC Fall, 2024)