Compact and Programmable Ultrasound Front-End Processing Module for Research Activities. - R. Bharath; Punit Kumar; D. Santhosh Reddy; Pachamuthu Rajalakshmi (EMBC, 2018)

A Novel Classification for EEG Based Four Class Motor Imagery Using Kullback-Leibler Regularized Riemannian Manifold. - Pradeep Kumar Mishra; Jagadish Bandaru; Pavana Ravi Sai Kiran Malyala; Pachamuthu Rajalakshmi; D. Santhosh Reddy (HealthCom, 2018)

A Novel Computer-Aided Diagnosis Framework Using Deep Learning for Classification of Fatty Liver Disease in Ultrasound Imaging. - D. Santhosh Reddy; R. Bharath; Pachamuthu Rajalakshmi (HealthCom, 2018)

Classification of Nonalcoholic Fatty Liver Texture Using Convolution Neural Networks. - D. Santhosh Reddy; R. Bharath; Pachamuthu Rajalakshmi (HealthCom, 2018)

A Novel Web Application Framework for Ubiquitous Classification of Fatty Liver Using Ultrasound Images. - D. Santhosh Reddy; Pachamuthu Rajalakshmi (WF-IoT, 2019)

A Residual Phase Noise Compensation Method for IEEE 802.15.4 Compliant Dual-Mode Receiver for Diverse Low Power IoT Applications. - Mohammed Abdullah Zubair; Ajay Kumar Nain; Jagadish Bandaru; Ajay Kumar; D. Santhosh Reddy; Pachamuthu Rajalakshmi (IEEE Internet Things J., 2019)

A SoC-Based Programmable Portable Ultrasound Scanning System for Point-of-Care Applications and Clinical Research Activities. - Ramkrishna Bharath; D. Santhosh Reddy; Pachamuthu Rajalakshmi (SN Comput. Sci., 2022)

Correction to: A SoC-Based Programmable Portable Ultrasound Scanning System for Point-of-Care Applications and Clinical Research Activities. - Ramkrishna Bharath; D. Santhosh Reddy; Pachamuthu Rajalakshmi (SN Comput. Sci., 2022)

Robust Deep Learning based Speed Bump Detection for Autonomous Vehicles in Indian Scenarios. - Palli Venkata Aishwarya; D. Santhosh Reddy; Dinesh Kumar Sonkar; Poluri Nikhil Koundinya; P. Rajalakshmi (ISORC, 2023)

Pothole Detection for Autonomous Vehicles in Indian Scenarios using Deep Learning. - H. N. Srikanth; D. Santhosh Reddy; Dinesh Kumar Sonkar; Ronit Kumar; P. Rajalakshmi (ISORC, 2023)

Robust Obstacle Detection and Collision Warning for Autonomous Vehicles Using Autoware Universe. - D. Santhosh Reddy; Kaipa Sri Charan; Sai Kumar Kayam; P. Rajalakshmi (ICCAE, 2024)

Improving Radar-Camera Fusion Network for Distance Estimation. - Samuktha V.; Hershita Shukla; Nitish Kumar; Tejasri Nampally; D. Santhosh Reddy; P. Rajalakshmi (ICCAE, 2024)

Real-Time Deep Learning Based Safe Autonomous Navigation. - Tuhin Dutta; D. Santhosh Reddy; P. Rajalakshmi (ICRCA, 2024)

Towards Real-Time Traffic Sign Recognition in Diverse Weather Conditions Through Adaptive Feature Learning. - Kshitiz Kumar; D. Santhosh Reddy; P. Rajalakshmi (ITSC, 2024)

TIAND: A Multimodal Dataset for Autonomy on Indian Roads. - Nitish Kumar; Abhilash S; Abhishek Thakur; Omkarthikeya Gopi; Ayush Dasgupta; Arpitha Algole; Bhaskar Anand; Venkata Satyanand Mutnuri; D. Santhosh Reddy; Naga Praveen Babu Mannam; Srikanth Saripalli; Rajalakshmi Pachamuthu (IV, 2024)

Evaluating Driver Reactions to Speed Bumps and Potholes for Enhancing Autonomous Vehicle Performance. - Rishav Kumar; Devadas Kuna; D. Santhosh Reddy; Yuki Uetsuki; Dinesh Kumar Sonkar; P. Rajalakshmi (VTC Fall, 2024)

3D YOLO-SM: End-to-End Approach for Real-time Traffic Light Detection and Recognition in Complex Scenarios. - Kshitiz Kumar; D. Santhosh Reddy; P. Rajalakshmi (VTC Fall, 2024)

DriveIndia: An Object Detection Dataset for Diverse Indian Traffic Scenes. - Rishav Kumar; D. Santhosh Reddy; Pachamuthu Rajalakshmi (CoRR, 2025)