Pawan Kumar Singh received his B. Tech degree in Information Technology from West Bengal University of Technology in 2010. He received his M. Tech in Computer Science and Engineering and Ph.D. (Engineering) degrees from Jadavpur University (J.U.) in 2013 and 2018 respectively. He also received the RUSA 2.0 fellowship for pursuing his post-doctoral research in J.U. in 2019. He is currently working as an Assistant Professor in the Department of Information Technology in J.U. He has published more than 50 research papers in peer-reviewed journals and international conferences. His areas of current research interest are Pattern Recognition, Handwritten Document Analysis, Image Processing, Machine Learning and Artificial Intelligence. He is a member of the IEEE, U.S.A, Computer Society of India (CSI), Indian Society for Technical Education (I.S.T.E.) and Associate Member of I.E (India).

Pawan Kr. Singh, Ram Sarkar, Mita Nasipuri: “Offline Script Identification from Multilingual Indic-script Documents: A state-of-the-art”, In: Computer Science Review (Elsevier) 15-16, pp. 1-28, 2015. 

Pawan Kr. Singh, Ram Sarkar, Nibaran Das, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri: “Benchmark databases of handwritten Bangla-Roman and Devanagari-Roman mixed-script document images”, In: Multimedia Tools and Applications, Vol. 77, No. 7, pp. 8441-8473, 2018 (DOI: 10.1007/s11042-017-4745-3). 

Pawan Kr. Singh, Ram Sarkar, Mita Nasipuri: “Correlation Based Classifier Combination in the field of Pattern Recognition”, In: Computational Intelligence, Wiley Publishers, 2017 (DOI: 10.1111/coin.12135). 

Shibaprasad Sen, Ankan Bhattacharyya, Pawan Kr. Singh, Ram Sarkar, Kaushik Roy, David Doermann: “Application of Structural and Topological Features to Recognize Online Handwritten Bangla Characters”, In: ACM Transactions on Asian Low-Resource Language Information Processing, Vol. 17, No. 3, Article 20, 16 pages, February 2018. 

Pawan Kr. Singh, Ram Sarkar, Mita Nasipuri: “A Comprehensive Handwritten Indic Script Recognition System: A Tree-based Approach”, In: Journal of Ambient Intelligence and Humanized Computing, Springer Publishers, 2018 (DOI: https://doi.org/10.1007_s12652-018-1052-4). 

Soumyadeep Kundu, Sayantan Paul, Pawan Kr. Singh, Ram Sarkar, Mita Nasipuri: “Understanding NFC-Net: a deep learning approach to word-level handwritten Indic script recognition”, In: Neural Computing and Applications (Special Issue: Hybrid Artificial Intelligence and Machine Learning Technologies), Vol. 32, Issue 12, pp. 7879-7895, 2020 

v  Attended a Two-Week AICTE Sponsored National Level Faculty Development Program on “Quantum Computational Intelligence (QCI-2019)” organized by Department of Computer Science and Engineering, RCC Institute of Information Technology held during 2^nd-14^th November, 2019.

v  Attended a 2-Day International Workshop on “Machine Learning and its Application to Pattern Recognition (IWMLAPR-2019)” jointly organized by Computer Vision and Pattern Recognition (CVPR) unit, ISI Kolkata and University of Technology Sydney, Australia held during 14^th-15^th November, 2019.

v  Acted as an Organizing committee member in RUSA 2.0 Sponsored One-Week Workshop on “Computer Vision and Multimedia Computing (CVMC-2020)” organized by Department of Information Technology, Jadavpur University, Salt Lake Campus, Kolkata-700106, held during 10^th-17^th February, 2020.