An Evolutionary Learning Approach to Play Othello Using XCS. - Satvik Jain; Siddharth Verma; Swaraj Kumar; Swati Aggarwal (CEC, 2018)

SkiDNet: Skip Image Denoising Network for X-Rays. - Sandipan Dutta; Shaurya Chaturvedi; Swaraj Kumar; M. P. S. Bhatia (IJCNN, 2019)

Understanding Language Dependency on Emotional Speech using Siamese Network. - Swaraj Kumar; Shaurya Chaturvedi; Sandipan Dutta (IJCNN, 2019)

A Novel Front-haul Bandwidth Compression Method for RAN Systems. - Satya Kumar Vankayala; Gaurav Potnis; Konchady Gautam Shenoy; Seungil Yoon; Swaraj Kumar (IEEE ANTS, 2020)

Strategies for Enhancing Training and Privacy in Blockchain Enabled Federated Learning. - Swaraj Kumar; Sandipan Dutta; Shaurya Chaturvedi; M. P. S. Bhatia (BigMM, 2020)

Dynamic Network Slicing using Deep Reinforcement Learning. - Swaraj Kumar; Satya Kumar Vankayala; Devashish Singh; Ishaan Roy; Biswa P. S. Sahoo; Seungil Yoon; Ignatius Samuel Kanakaraj (ANTS, 2021)

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)

Continual Learning-Based Channel Estimation for 5G Millimeter-Wave Systems. - Swaraj Kumar; Satya Kumar Vankayala; Biswapratap Singh Sahoo; Seungil Yoon (CCNC, 2021)

A Framework for Exploiting Hard and Soft LLRs for Low Complexity Decoding in VRAN Systems. - Satya Kumar Vankayala; RaviTeja Gundeti; Konchady Gautam Shenoy; Abhay Kumar Sah; Swaraj Kumar; Seungil Yoon (WCNC, 2021)

Radio Map Estimation Using a Generative Adversarial Network and Related Business Aspects. - Satya Kumar Vankayala; Swaraj Kumar; Ishaan Roy; D. Thirumulanathan; Seungil Yoon; Ignatius Samuel Kanakaraj (WPMC, 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)

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

Call Mute Reduction by Reinforcement Learning Based Deployment of ROHC in Next Generation Networks. - Veerabhadrappa M. Gadag; Swaraj Kumar; Vishal Murgai; Siva Kumar Mummadi (GLOBECOM (Workshops), 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)

Cloud RAN Based Privacy Preserving Federated Cross Domain Anomaly Detection in IoT Devices Logs. - Zarka Bashir; Swaraj Kumar; Vishal Murgai; Sukhdeep Singh (GLOBECOM (Workshops), 2023)

Non-Deterministic and Semi-Supervised Log-based Anomaly Detection. - Swaraj Kumar; Vishal Murgai; Zarka Bashir; Sukhdeep Singh (GLOBECOM (Workshops), 2023)

Light Weight AI: Representing ML Inference as Efficient Mathematical Relations for Embedded RAN Devices. - Swaraj Kumar; Vishal Murgai; Sukhdeep Singh (GLOBECOM, 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)

Federated Learning Framework for Dynamic Power Management in RAN Data Plane Systems. - Vishal Murgai; Srihari Das Sunkada Gopinath; Swaraj Kumar (WCNC, 2023)

Energy-Efficient Low-Complexity Power Management in Multi-Core RAN Systems. - Srihari Das Sunkada Gopinath; Swaraj Kumar; Vishal Murgai (ICC Workshops, 2024)

Secure Full-Duplex Communications via Spatially Correlated RIS Under Electromagnetic Interference. - Priya Gupta; Satya Kumar Vankayala; Swaraj Kumar; Manoj Thomas; Srihari Das Sunkada Gopinath; Seungil Yoon (ICC Workshops, 2024)

SMASH: Supervised ML-Based Adaptive Selection of HTTP Protocols. - Swaraj Kumar; Madhan Raj Kanagarathinam; Arun Padmanabh Bhagavath; Rahul Kumar Saha; Vasanth Kanakaraj (ICC Workshops, 2024)

CSI Feedback Prediction Using UE Aware Sparse Neural Network Framework. - Sukhdeep Singh; Swaraj Kumar; Rahul Kumar Saha; Shreyanshu Agarwal; Ashmeet Kaur (ICC Workshops, 2024)

Sparse Recurrent Neural Network Architecture for Turbo Decoding in NextGen Communication Systems. - Madhan Raj Kanagarathinam; Swaraj Kumar; Krishna M. Sivalingam; Richa Gaba (VTC Fall, 2024)

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)