Specialization

Robotics, Computer Vision, Mechatronics

Email

sachin.kansal@thapar.edu

Biography

Dr. Sachin Kansal is an Associate Professor in the Department of Computer Science and Engineering at Thapar Institute of Engineering & Technology (TIET), Patiala, India. He holds a Ph.D. in Information Technology with a specialization in Robotics from the Indian Institute of Technology Delhi (IIT Delhi), awarded in 2020, and an M.Tech. in Computer Science and Engineering from the Indian Institute of Information Technology Allahabad.

His research focuses on Artificial Intelligence, Computer Vision, Robotics, Human–Robot Interaction, and intelligent autonomous systems. His work integrates AI algorithms with robotic platforms, multimodal sensing, explainable AI, and real-time decision-making to develop practical solutions for healthcare, rehabilitation, industrial automation, infrastructure inspection, and assistive technologies.

Dr. Kansal has international research experience as a Postdoctoral Research Fellow at the University of Birmingham, UK, and as a STEP Fellow at the University of Queensland, Australia. His research contributions include AI-enabled exoskeletons, EEG-based rehabilitation systems, vision-guided robotic manipulation, autonomous robotic platforms, explainable medical AI, and learning-based activity recognition.

He has led and contributed to externally funded research projects supported by organizations and programmes including DST, SERB, MeitY, and institutional research initiatives. His research has resulted in granted patents, published patent applications, journal articles, and international conference publications. He also contributes to research leadership and innovation as Coordinator – Research and Innovation at the TIET–UQ Centre of Excellence in Data Science and AI.

Research Interests

• Robotics and Autonomous Systems
• Computer Vision and Visual Perception
• Human–Robot Interaction and Robot Learning
• Reinforcement Learning and Multi-Agent Systems
• Wearable Robotics, Exoskeletons and Rehabilitation

Research Experience

• Associate Professor, Department of Computer Science and Engineering, TIET, Patiala (January 2026–present).
• STEP Fellow, University of Queensland, Australia (July–August 2024).
• Postdoctoral Research Fellow, University of Birmingham, UK (December 2019–December 2020).
• Senior Research Fellow, IIT Delhi, on research projects supported by DRDO and BARC.

Selected Research Projects

• Development of upper- and lower-limb exoskeletons for rehabilitation and assistive applications.
• AI-based framework to assist patients with ADHD symptoms under an Indo–Russia joint research project.
• Development of an explainable deep-learning framework for breast cancer detection using thermal imaging.
• Vision-based UAV framework for bridge crack detection and monitoring.
• Development of a sonar system.
• Development of autonomous and intelligent robotic systems, including smart carts, safety helmets, and immersive-environment-based systems.

Selected Research Contributions

• AI-enabled rehabilitation systems integrating EEG, deep learning, and exoskeleton technologies.
• Explainable AI frameworks for breast cancer, lung cancer, and retinal disease applications.
• Vision-based robotic manipulation, object catching, and robot teleoperation.
• Deep-learning-based activity recognition and human–robot interaction.
• Autonomous robotic systems for infrastructure inspection and field applications.
• Research translation through patents and technology-development projects.

Education

• Ph.D: Indian Institute of Technology Delhi — Information Technology, specialization in Robotics.
• M.Tech: Indian Institute of Information Technology Allahabad — Computer Science and Engineering.
• B.Tech: IIMT Engineering College, Meerut — Computer Science and Engineering.

LinkedIn: linkedin.com/in/dr-sachin-kansal-72983473

TIET–UQ Centre of Excellence in Data Science & AI: dsai.thapar.edu/people

Selected Research Publication

• Wearable robotics: Design and Development of 19-DOF Responsive SMA-based Exoskeleton for Rehabilitation - Scientific Reports
• Rehabilitation AI: Act-Exo-Rehab: An Adaptive Active Exoskeleton for Upper Limb Rehabilitation in Real-Time Environments - Scientific Reports
• Explainable AI: Transparent Forecasting with XAI: Improving Accuracy and Trust in Electricity Demand Prediction - Knowledge-Based Systems
• Medical AI: RetinoDeep: Leveraging Deep Learning Models for Advanced Retinopathy Diagnostics - Sensors
• Robot learning: Vision-Integrated Learning from Demonstration for Intuitive Delta Robot Teaching in PCB Manufacturing - IEEE RO-MAN 2026
• Autonomous robotics: MARL-SR: Multi-Agent Reinforcement Learning-based Cooperative Navigation for Swarm Robotics Applications - Advances in Robotics (AIR 2025)