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Deepak Kumar

Associate Professor in Department of Computer Science and Engineering · Dronacharya College of Engineering

https://researchid.co/drdkjanghu
@ggnindia.dronacharya.info
6Scopus Publications
191Google Scholar Citations
6Google Scholar h-index
4Google Scholar i10-index

Research Interests

Machine Learning, Deep Learning, Computer Vision and Image Processing

Biography

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.

Recent Scopus Publications

  1. Multi-class Generative Adversarial Network for Hyperspectral Image Classification for Addressing Class Imbalance Problem
    Smart Innovation Systems and Technologies, 2025
  2. Machine learning metamodels for thermo-mechanical analysis of friction stir welding
    International Journal on Interactive Design and Manufacturing, 2025
  3. A Binary Grey Wolf Optimization based Hybrid Convolutional Neural Network (BGWOHCNN) framework for hyperspectral image classification
    Multimedia Tools and Applications, 2024
  4. A spectral–spatial 3D-convolutional capsule network for hyperspectral image classification with limited training samples
    International Journal of Information Technology Singapore, 2023
  5. Hyperspectral Image Classification Using Deep Learning Models: A Review
    Journal of Physics Conference Series, 2021

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