Dr. Satbir Singh
Assistant Professor (Contractual -II)
Specialization
Computer Vision, AI (ML, DL, Gen AI), Information Fusion
satbir.singh@thapar.edu
Computer Vision, AI (ML, DL, Gen AI), Information Fusion
Education
• PhD from National Institute of Technology Jalandhar,
Title – Multimodal Information Fusion based Object Tracking
• M. Tech. from Thapar Institute of Technology, Patiala.
• B. Tech. from Punjab Technical University.
Experience
• Assistant Professor, Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology Patiala, India (Dec 2024 - present)
• Faculty, Centre for Artificial Intelligence, Dr B R Ambedkar National Institute of Technology, Jalandhar India (November 2022 – December 2025)
• Project Associate, Centre for Scientific Instruments Organisations, Chandigarh, India (November 2021 – October 2022)
• Senior Project Fellow, Centre for Scientific Instruments Organisations, Chandigarh, India (September 2018 – March 2021)
• Senior Scientific Officer, Delhi Technological University, Delhi, India (May 2016 – June 2017)
• Project Engineer at Centre for Development of Advanced Computing Mohali, India (August 2015-May 2017)
• Assistant Professor at Shaheed Udham Singh Engineering College, Tangori, India (July 2013-July2015).
Trainings
• Certifications in various QIPs/FDPs/STC from organizations like NITTTR Chandigarh, IIT Roorkee, NIT Jalandhar, TIET etc.
Research Projects
• Integrating Drone-based Pothole Detection and Volume Estimation using Machine Learning for Precise Budgeting in Road Repair Planning (MeitY sponsored).
• Development of Fusion-based De-fogging Technique for Visibility Improvement (NPIU sponsored).
Journal Publications
• S. Singh, N. Lamba, and A. Khosla, “A closer look at single object tracking under variable haze,” Multimedia Tools Appl, vol. 83, no. 38, pp. 85755–85780, Nov. 2024. (SCIE indexed)
• N. Sharma, S. Mirza, A. Rastogi, S. Singh, and P. K. Mahapatra, “Region-wise severity analysis of diabetic plantar foot thermograms,” Biomedizinische Technik, vol. 68, no. 6, pp. 607–615, Dec. 2023. (SCIE indexed)
• S. Singh, A. Khosla, and R. Kapoor, “Visual-Thermal Fusion-Based Object Tracking via a Granular Computing Backed Particle Filtering,” IETE J Res, vol. 69, no. 10, pp. 6693–6708, Oct. 2023. (SCIE indexed)
• N. Sharma, S. Singh, A. Rastogi, M. Sarfaraj, and P. K. Mahapatra, “Shape-Based Wound Localization in Diabetic Foot Ulcer Using Foot Thermograms,” International Journal of Image, Graphics and Signal Processing, vol. 16, no. 6, p. 32, Dec. 2024. (SCOPUS Indexed)
• S. Singh, A. Khosla, and R. Kapoor, “Object tracking via a Novel Parametric Decisions based RGB-Thermal Fusion,” International Journal of Image, Graphics and Signal Processing, vol. 15, no. 4, p. 1, Aug. 2023. (SCOPUS Indexed)
• S. Singh, A. Khosla, and R. Kapoor, “Visual Object Tracking by Fusion of Audio Imaging in Template Matching Framework,” International Journal of Image, Graphics and Signal Processing, vol. 11, no. 8, p. 40, Aug. 2019. (SCOPUS Indexed)
• S. Singh, A. Khosla, and R. Kapoor, “Object Tracking with a Novel Visual-Thermal Sensor Fusion Method in Template Matching,” International Journal of Image, Graphics and Signal Processing, vol. 11, no. 7, p. 39, Jul. 2019. (SCOPUS Indexed)
• S. Singh, A. Godara, and G. Gaurav, “Detection of Partial Invisible Objects in Images using Histogram Equalization,” Int J Computer Appl, vol. 85, no. 9, pp. 40–44, Jan. 2014.
• Umesh, S. Singh, “Vehicle Detection and Classification in Low Vision Video Footage,” European Journal of Advances in Engineering and Technology, vol. 2, no. 6, pp. 70–76, 2015.
• S. Singh and K. Singh, “Image Change Detection by Means of Discrete Fractional Fourier Transform,” Int J Computer Appl, vol. 77, no. 16, pp. 16–20, Sep. 2013.
• C. Thakur and S. Singh, “Correction of WOW and Flutter in Audio Signals using Least Mean Square Algorithm,” Int J Computer Appl, vol. 85, no. 16, pp. 46–52, Jan. 2014.
• R. Tiwari, S. Singh, and B. Singh, “Virtual Panel based Projector Control System Using Image Processing,” International Journal of Research in Electronics and Computer Engineering, vol. 4, pp. 14-18, 2016.
Copyrights
• THERMAL IMAGING-BASED KNEE OSTEOARTHRITIS DIAGNOSIS SYSTEM (SW-17849/2023).
• RICE GRAIN ANALYSIS SOFTWARE, VER 1.0 (SW-14110/2021).
Conference Publications
• S. Singh, B. Singh, Ramandeep, B. Singh, and A. Das, “Automatic Vehicle Counting for IoT based Smart Traffic Management System for Indian urban Settings,” Proceedings - 2019 4th International Conference on Internet of Things: Smart Innovation and Usages, IoT-SIU 2019, Apr. 2019.
• S. Sharma, S. Das, J. Virmani, M. Sharma, S. Singh, and A. Das, “IoT Based Dipstick Type Engine Oil Level and Impurities Monitoring System: A Portable Online Spectrophotometer,” Proceedings - 2019 4th International Conference on Internet of Things: Smart Innovation and Usages, IoT-SIU 2019, Apr. 2019.
• H. Rampal, A. Das, S. Mahajan, and S. Singh, “Enhancement of Corn image quality using Very-Deep Super-Resolution (VDSR) neural network,” Proceedings of the 3rd International Conference on Inventive Computation Technologies, ICICT 2018, Nov. 2018.
• S. Sharma, S. Das, H. Garg, S. Singh, and A. Das, “Development of a low cost dipstick type optical fiber based portable spectrophotometer for on-line monitoring of adulteration level in engine oil (Conference Presentation),”, vol. 11390, p. 1139014, Apr. 2020.
• A. Tasleem, S. Singh, B. Singh, and H. Pahuja, “Designing of a Gender Based Classifier for Western Music,” Communications in Computer and Information Science, vol. 721, pp. 81–90, 2017.
• A. Deshmukh, S. Singh, and B. Singh, “Design and development of image defogging system,” 2016 International Conference on Signal and Information Processing, IConSIP 2016, Feb. 2017.
• J. S. Sadioura, S. Singh, and A. Das, “Selection of sub-optimal feature set of network data to implement Machine Learning models to develop an efficient NIDS,” 2019 International Conference on Data Science and Engineering, ICDSE 2019, pp. 120–125, Sep. 2019.
• S. Singh, A. M. Baba, M. I. Anwar, A. H. Moon, and A. Khosla, “Visibility Improvement in Hazy Conditions via a Deep Learning Based Image Fusion Approach,” Communications in Computer and Information Science, vol. 1440 CCIS, pp. 410–419, 2021.
• N. Sharma, S. Mirza, A. Rastogi, P. K. Mahapatra, and S. Singh, “Performance Evaluation of a Novel Thermogram Dataset for Diabetic Foot Complications,” Lecture Notes in Networks and Systems, vol. 552, pp. 757–766, 2023.
Book Chapter Publication
1. S. Singh, R. Kapoor, and A. Khosla, “Cross-Domain Usage in Real-Time Video-Based Tracking,”, pp. 105–129. (SCOPUS Indexed)
2. A. L. Deshmukh, S. Singh, and B. Singh, “Hardware Realization of Antifogging System,”, pp. 153–172. (SCOPUS Indexed)
Peer Reviewer
• Multimedia Systems
• Journal of Autonomous Intelligence
• Applied Intelligence and Computing
• Machine Intelligence for Research & Innovations
Awards
• Best Paper Award in the Data Science Category at the ICDSA, 2022 conference organized by Jadavpur University for the paper “Performance evaluation of a normal thermogram dataset for diabetic foot complications”.
• Won Gold medals in Inter college, Zonal, and Inter zonal university-level youth festivals in the following categories for two consecutive years: Classical instrumental (non – percussion), Classical instrumental (percussion).