Deepak Kumar

Over 17 years of diverse experience spanning Technical Leadership, Software Development, Service Reliability Engineering, Research, and Academia.
More than 5 years of experience in developing and deploying advanced analytics, machine learning solutions, and Generative AI/LLMs. Adept at building cutting-edge AI models to solve complex problems and enhance intelligent systems.
Expertise in Data Science, StatisticalModeling, Data Processing, and Problem-Solving, with a strong foundation in Data Structures and Algorithms.
Proficient in Python and its applications in AI, deep learning, and computational analysis.
Experienced in guiding research projects, mentoring students, and supervising thesis work at undergraduate and postgraduate levels.
Skilled in curriculum design, academic program development, and integrating emerging technologies into the learning process.

EDUCATION

Ph. D. Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, Haryana.
M. Tech. Computer Science and Engineering, Y.M.C.A. Institute of Engineering and Technology, Faridabad, Haryana.
B. Tech. Computer Science and Engineering, Kurukshetra University, Kurukshetra, Haryana.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Science

Scopus Publications

Multi-class Generative Adversarial Network for Hyperspectral Image Classification for Addressing Class Imbalance Problem
Deepak Kumar, Dharmender Kumar
Smart Innovation Systems and Technologies, 2025
Machine learning metamodels for thermo-mechanical analysis of friction stir welding
Dinesh V. Burande, Kanak Kalita, Rohit Gupta, Ajay Kumar, Jasgurpreet Singh Chohan, Deepak Kumar
International Journal on Interactive Design and Manufacturing, 2025
A Binary Grey Wolf Optimization based Hybrid Convolutional Neural Network (BGWOHCNN) framework for hyperspectral image classification
Deepak Kumar, Dharmender Kumar
Multimedia Tools and Applications, 2024
A spectral–spatial 3D-convolutional capsule network for hyperspectral image classification with limited training samples
Deepak Kumar, Dharmender Kumar
International Journal of Information Technology Singapore, 2023
Hyperspectral Image Classification Using Deep Learning Models: A Review
Deepak Kumar, Dharmender Kumar
Journal of Physics Conference Series, 2021
Hyperspectral image (HSI) classification is one of the important topic in the field of remote sensing. In general, HSI has to deal with complex characteristics and nonlinearity among the hyperspectral data which makes the classification task very challenging for traditional machine learning (ML) models. Recently, deep learning (DL) models have been very widely used in the classification of HSIs because of their capability to deal with complexity and nonlinearity in data. The utilization of deep learning models has been very successful and demonstrated good performance in the classification of HSIs. This paper presents a comprehensive review of deep learning models utilized in HSI classification literature and a comparison of various deep learning strategies for this topic. Precisely, the authors have categorized the literature review based upon the utilization of five most popular deep learning models and summarized their main methodologies used in feature extraction. This work may provide useful guidelines for the future research work in this area.
Impact of Wall Angle, Step Size and Spindle Speed on Forming Force in Single Point Incremental Forming
Ajay Kumar, Parveen Kumar, Deepak Kumar, Ravi Kant Mittal
Lecture Notes in Mechanical Engineering, 2021

RECENT SCHOLAR PUBLICATIONS

Machine learning metamodels for thermo-mechanical analysis of friction stir welding
DV Burande, K Kalita, R Gupta, A Kumar, JS Chohan, D Kumar
International Journal on Interactive Design and Manufacturing (IJIDeM) 19 (1 … , 2025
2025.0
Citations: 32
A binary grey wolf optimization based hybrid convolutional neural network (BGWOHCNN) framework for hyperspectral image classification
D Kumar, D Kumar
Multimedia Tools and Applications 83 (4), 10091-10114 , 2024
2024.0
Citations: 9
Multi-class Generative Adversarial Network for Hyperspectral Image Classification for Addressing Class Imbalance Problem
D Kumar, D Kumar
International Conference on Smart Systems: Innovations in Computing, 471-482 , 2023
2023.0
A spectral–spatial 3D-convolutional capsule network for hyperspectral image classification with limited training samples
D Kumar, D Kumar
International Journal of Information Technology 15 (1), 379-391 , 2023
2023.0
Citations: 18
Study of deep learning techniques for medical image analysis: A review
A Singhal, M Phogat, D Kumar, A Kumar, M Dahiya, VK Shrivastava
Materials Today: Proceedings 56, 209-214 , 2022
2022.0
Citations: 85
Hyperspectral image classification using deep learning models: a review
D Kumar, D Kumar
Journal of Physics: Conference Series 1950 (1), 012087 , 2021
2021.0
Citations: 27
Impact of Wall Angle, Step Size and Spindle Speed on Forming Force in Single Point Incremental Forming
A Kumar, P Kumar, D Kumar, RK Mittal
International Conference on Recent Advancements in Mechanical Engineering … , 2020
2020.0
Citations: 4
Genetic algorithm approach for test case generation randomly: A review
D Kumar, M Phogat
International Journal of Computer Trends and Technology 49, 213-216 , 2017
2017.0
Citations: 3
Region Based Text Recognition in Natural Scene Images: A Review
D Kumar, B Parashar
International Journal of Science, Engineering and Computer Technology 7 (2 … , 2017
2017.0
Review on Connected Component Text Recognition in Images
D Kumar
International Journal of Science, Engineering and Computer Technology 7 (2 … , 2017
2017.0
Computer viruses and challenges for anti-virus industry
D Kumar, N Kumar, A Kumar
International Journal of Engineering and Computer Science 3 (2), 3869-3872 , 2014
2014.0
Citations: 9
Design issues for search engines and web crawlers: a review
D Kumar, A Kumar
IOSR Journal of Computer Engineering (IOSR-JCE) 15 (6), 34-37 , 2013
2013.0
Citations: 4
A Novel Interface to a Web Crawler using VB .NET Technology
D Kumar, S Kumar, N Kumar

MOST CITED SCHOLAR PUBLICATIONS

Study of deep learning techniques for medical image analysis: A review
A Singhal, M Phogat, D Kumar, A Kumar, M Dahiya, VK Shrivastava
Materials Today: Proceedings 56, 209-214 , 2022
2022.0
Citations: 85
Machine learning metamodels for thermo-mechanical analysis of friction stir welding
DV Burande, K Kalita, R Gupta, A Kumar, JS Chohan, D Kumar
International Journal on Interactive Design and Manufacturing (IJIDeM) 19 (1 … , 2025
2025.0
Citations: 32
Hyperspectral image classification using deep learning models: a review
D Kumar, D Kumar
Journal of Physics: Conference Series 1950 (1), 012087 , 2021
2021.0
Citations: 27
A spectral–spatial 3D-convolutional capsule network for hyperspectral image classification with limited training samples
D Kumar, D Kumar
International Journal of Information Technology 15 (1), 379-391 , 2023
2023.0
Citations: 18
A binary grey wolf optimization based hybrid convolutional neural network (BGWOHCNN) framework for hyperspectral image classification
D Kumar, D Kumar
Multimedia Tools and Applications 83 (4), 10091-10114 , 2024
2024.0
Citations: 9
Computer viruses and challenges for anti-virus industry
D Kumar, N Kumar, A Kumar
International Journal of Engineering and Computer Science 3 (2), 3869-3872 , 2014
2014.0
Citations: 9
Impact of Wall Angle, Step Size and Spindle Speed on Forming Force in Single Point Incremental Forming
A Kumar, P Kumar, D Kumar, RK Mittal
International Conference on Recent Advancements in Mechanical Engineering … , 2020
2020.0
Citations: 4
Design issues for search engines and web crawlers: a review
D Kumar, A Kumar
IOSR Journal of Computer Engineering (IOSR-JCE) 15 (6), 34-37 , 2013
2013.0
Citations: 4
Genetic algorithm approach for test case generation randomly: A review
D Kumar, M Phogat
International Journal of Computer Trends and Technology 49, 213-216 , 2017
2017.0
Citations: 3
Multi-class Generative Adversarial Network for Hyperspectral Image Classification for Addressing Class Imbalance Problem
D Kumar, D Kumar
International Conference on Smart Systems: Innovations in Computing, 471-482 , 2023
2023.0
Region Based Text Recognition in Natural Scene Images: A Review
D Kumar, B Parashar
International Journal of Science, Engineering and Computer Technology 7 (2 … , 2017
2017.0
Review on Connected Component Text Recognition in Images
D Kumar
International Journal of Science, Engineering and Computer Technology 7 (2 … , 2017
2017.0
A Novel Interface to a Web Crawler using VB .NET Technology
D Kumar, S Kumar, N Kumar

Publications

A. Singhal, M. Phogat, D. Kumar, A. Kumar, M. Dahiya, and V. K. Shrivastava, “Study of deep learning techniques for medical image analysis: A review,”Materials Today: Proceedings, vol. 56, pp. 209–214, 2022.
D. Kumar, “Review on connected component text recognition in images,” International Journal of Science, Engineering and Computer Technology, vol. 7, no. 2, pp. 171–173, 2017.
D. Kumar and B. Parashar, “Region based text recognition in natural scene images: A review,” International Journal of Science, Engineering and Computer Technology, vol. 7, no. 2, pp. 148–150, 2017.
D. Kumar and M. Phogat, “Genetic algorithm approach for test case generation randomly: A review,” International Journal Of Computer Trends And Technology, vol. 49, no. 4, 2017.
D. Kumar, N. Kumar, and A. Kumar, “Computer viruses and challenges for anti-virus industry,” International Journal of Engineering and Computer Science, vol. 3, no. 2, pp. 3869–3872, 2014.
D. Kumar and A. Kumar, “Design issues for search engines and web crawlers: A review,” IOSR Journal of Computer Engineering (IOSR-JCE), vol. 15, no. 6, pp. 34–37, 2013.

INDUSTRY EXPERIENCE

More than 5 years of experience in developing and deploying advanced analytics, machine learning solutions, and Generative AI/LLMs. Adept at building cutting-edge AI models to solve complex problems and enhance intelligent systems with organisations like Monotype Solutions India Pvt Ltd, Noida; BT E-Serv India Pvt. Ltd, Gurgaon; Rosenblatt Securities India Pvt. Ltd., Noida and CPA Global Support Services India Private Limited, Noida