Specialization

Image Processing, Machine Learning, Deep Learning

Email

abhishek.kesarwani@thapar.edu

Education
1.    Ph.D. in Computer Science and Engineering from National Institute of Technology Durgapur.
o    Title – Design and Development of AI-enabled Non-invasive
Anaemia Detection Systems by Analysing Palm Video
2.    M.Tech. in Computer Science and Engineering from National Institute of Technology Rourkela.
3.    B.E. in Computer Science and Engineering from Rungta College of Engineering and Technology, Bhilai (under Chhattisgarh Swami Vivekanand Technical University, Bhilai). 
4.    Schooling (Intermediate and Matriculation) from Kendriya Vidyalaya No. 1, Bokaro Steel City, Jharkhand.

Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar Institute of Engineering and Technology Patiala, Punjab, India (March 2025 - present)
2.    Assistant Professor, Department of Artificial Intelligence & Machine Learning, School of Computer Science and Engineering, Manipal University Jaipur, Rajasthan, India (September 2023 – February 2025)

Journal Publications
1.    Kesarwani, A., Das, S., Dalui, M., Kisku, D.R., Sen, B., Roy, S. and Basu, A., 2023. Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach. Biomedical Signal Processing and Control, Elsevier, Vol. 79 Part 1, p. 104045. (SCIE Indexed)
2.     Kesarwani, A., Das, S., Kisku, D.R. and Dalui, M., 2024. Dual Mode Information Fusion with Pre-trained CNN Models and Transformer for Video-based Non-invasive Anaemia Detection. Biomedical Signal Processing and Control, Elsevier, Vol. 88 Part A, p. 105592. (SCIE Indexed)
3.     Kesarwani, A., Das, S., Kisku, D.R. and Dalui, M., 2023. Non-invasive Anaemia Detection based on Palm Pallor Video using Tree-structured 3D CNN and Vision Transformer models. Journal of Experimental & Theoretical Artificial Intelligence, Taylor & Francis, pp.1-29. (SCIE Indexed)
4.     Kesarwani, A., Das, S., Kisku, D.R. and Dalui, M., 2023. Multi-scale Vision Transformer toward improved non-invasive anaemia detection using palm video. Multimedia Tools and Applications. (Scopus Indexed)
5.    Das, S., Kesarwani, A., Dalui, M., Kisku, D.R., Sen, B., Roy, S. and Basu, A., 2023. Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor. Biomedical Signal Processing and Control, Elsevier, Vol. 85, p. 104959. (SCIE Indexed)
6.    Das, S., Kesarwani, A., Kisku, D.R. and Dalui, M., 2025. Attention Enabled Precise Haemoglobin Prediction: A GNN based Non-Invasive Approach. Biomedical Signal Processing and Control, Elsevier. (SCIE Indexed)
7.    Kesarwani, A. and Khilar, P.M., 2022. Development of trust based access control models using fuzzy logic in cloud computing. Journal of King Saud University-Computer and Information Sciences, Elsevier. (SCIE Indexed)

Conference Publications
1.    Kesarwani, A., Purohit, K., Dalui, M. and Kisku, D.R., 2020, October. Measuring the degree of suitability of edge detection operators prior to an application. In 2020 IEEE applied signal processing conference (ASPCON) (pp. 128-133). IEEE. 
2.     Kesarwani, A., Das, S., Dalui, M. and Kisku, D.R., 2022, November. Non-invasive Haemoglobin Estimation Using Different Colour and Texture Features of Palm. In 7th International Conference on Computer Vision and Image Processing (CVIP 2022) (pp. 176-189). Springer.
3.     Purohit, K., Kesarwani, A., Ranjan Kisku, D. and Dalui, M., 2022, March. Covid-19 detection on chest x-ray and ct scan images using multi-image augmented deep learning model. In Proceedings of the Seventh International Conference on Mathematics and Computing: (ICMC 2021) (pp. 395-413). Springer.

Honors and Achievements
•    Qualified Graduate Aptitude Test in Engineering (GATE) in Computer Science and Information Technology (CS) in 2016, 2017.
•    Qualified NTA UGC NET - Computer Science and Applications (December, 2019) for Assistant Professor only.