Object Classification Technique for mmWave FMCW Radars using Range-FFT Features. - Jyoti Bhatia; Aveen Dayal; Ajit Jha; Santosh Kumar Vishvakarma; Soumya J.; M. B. Srinivas; Phaneendra K. Yalavarthy; Abhinav Kumar 001; V. Lalitha 001; Sagar Koorapati; Linga Reddy Cenkeramaddi (COMSNETS, 2021)

Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images. - Naveen Paluru; Aveen Dayal; Håvard Bjørke Jenssen; Tomas Sakinis; Linga Reddy Cenkeramaddi; Jaya Prakash; Phaneendra K. Yalavarthy (IEEE Trans. Neural Networks Learn. Syst., 2021)

Reward criteria impact on the performance of reinforcement learning agent for autonomous navigation. - Aveen Dayal; Linga Reddy Cenkeramaddi; Ajit Jha (Appl. Soft Comput., 2022)

Motor Bearing Fault Classification using Laser Sensor and Light Weight CNN. - Riccardo Pretto; Aveen Dayal; Yonas Oghbasilasie Haile; José Amendola; Linga Reddy Cenkeramaddi; Kjell G. Robbersmyr; Ajit Jha (iSES, 2023)

MADG: Margin-based Adversarial Learning for Domain Generalization. - Aveen Dayal; Vimal K. B.; Linga Reddy Cenkeramaddi; C. Krishna Mohan; Abhinav Kumar 001; Vineeth N. Balasubramanian (NeurIPS, 2023)

Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization. - José Amendola; Aveen Dayal; Linga Reddy Cenkeramaddi; Ajit Jha (IEEE Access, 2023)

Improving Unsupervised Domain Adaptation: A Pseudo-candidate Set Approach. - Aveen Dayal; Rishabh Lalla; Linga Reddy Cenkeramaddi; C. Krishna Mohan; Abhinav Kumar 001; Vineeth N. Balasubramanian (ECCV (32), 2024)

Leveraging Mixture Alignment for Multi-Source Domain Adaptation. - Aveen Dayal; Shrusti S.; Linga Reddy Cenkeramaddi; C. Krishna Mohan; Abhinav Kumar 001 (IEEE Trans. Image Process., 2025)