Contact No.

+91-9614392930

Biography

Dr. Sujan Kumar Dhali is an Assistant Professor in the Department of Mechanical Engineering at Thapar Institute of Engineering & Technology (TIET), Patiala. He was a Ph.D. scholar at IIT Kanpur, specializing in robotics. He earned his master’s degree from NIT Warangal and has four years of experience working with robotic systems. Sujan specializes in computer vision, ROS, and SLAM systems. He is conducting research on improving SLAM by reducing the influence of dynamic objects. He has created various robotic systems, such as robotic hands and mobile robots for autonomous navigation. Beyond his studies, Sujan enjoys exploring new technologies and solving engineering problems.

Academic Profile

Ph.D., Mechanical Engineering, Indian Institute of Technology, Kanpur, India | Duration: Dec 2020 – July 2026 | CGPA: 8.33/10.

M.Tech., Mechanical Engineering, National Institute of Technology, Warangal, Telangana, India| Duration: Aug 2018 – Aug 2020 | CGPA: 7.75/10.

B.Tech., Mechanical Engineering, Jalpaiguri Government Engineering College, West Bengal, India | Duration: May 2014 – April 2018 | CGPA: 7.67 / 10.

Work Experience

Assistant Professor, Thapar Institute of Engineering & Technology, Patiala, Punjab, India
- August 2026 – Present

Research Interests

Autonomous mobile robotics and navigation.
Computer vision and geometric problem solving.
Mathematical modeling and optimization of real-world engineering problems.
Robot manipulator kinematics and dynamics.
Multi-robot systems and collaborative robotics.

Technical Skills

Coding: Python, C, C++, MATLAB, CMake.
Robotics Middleware & Frameworks: ROS, ROS2.
Optimization & State Estimation: g2o, Ceres Solver, bundle adjustment, nonlinear least squares optimization.
Computer Vision & SLAM Libraries: OpenCV, ORB-SLAM2(modification and extension).
Machine Learning & Deep Learning: PyTorch, TensorFlow.
Simulation & Robotics Environments: Gazebo, MuJoCo.
Embedded Systems & Robotic Hardware: Arduino, Raspberry Pi, NVIDIA Jetson Nano.
Operating Systems & Tools: Linux (Ubuntu), Git, CMake, GCC.

Research Publications

Journal Articles (5)

S. K. Dhali and B. Dasgupta, “Trifocal slam: A dynamic slam based on three frame views,” Neurocomputing, vol. 652, Art. no. 130993, 2025, issn. 0925-2312. doi: https://doi.org/10.1016/j.neucom.2025.130993

S. K. Dhali and B. Dasgupta, “Occlusion slam: Improving visual slam by leveraging occluded points,” Journal of World Society for Computer Graphics, vol. 33, no. 1, pp. 73–82, 2025. http://www.doi.org/10.24132/JWSCG.2025-8

S. K. Dhali and B. Dasgupta, “A Stereo Visual SLAM System Using Object-Level Motion Estimation and Geometric Filtering Based on Cross Disparity,” IEEE Transactions on Intelligent Transportation Systems (T-ITS) (Under Review).

Course of Interest

Image Processing and Computer Vision.
Autonomous navigation of mobile robots.
Robotics and Autonomous Systems.
Sensors and Embedded Systems.

State estimation and probabilistic robotics.

Reviewer Activities

Reviewer for Control Engineering Practice, Elsevier.

Awards and Honours

Best Paper Award, 34^th International Conferences in Central Europe on
Computer Graphics, Visualization and Computer Vision (WSCG 2025), Plzen, Czech Republic.
Government of India (MHRD) Fellowship during Ph.D. at IIT Kanpur (2020–2025)
Qualified Graduate Aptitude Test in Engineering (GATE) 2018.

Research Profile

Google Scholar: https://scholar.google.com/citations?user=5HaOCuUAAAAJ&hl=en