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Dr. Shubham Kumar

Dr. Shubham Kumar

Associate Professor , Computer Science & Engineering (CSE)

shubham.kumar5@sharda.ac.in

About

Dr. Shubham Kumar is an Associate Professor in the Department of Computer Science and Engineering (CSE) with a strong academic and research background in Medical Image Processing and Analysis using Machine Learning and Artificial Intelligence. His research focuses on developing intelligent algorithms for disease diagnosis, medical image classification, segmentation, and computer-aided diagnosis systems. He has published research papers in reputed national and international journals and conferences and is actively involved in guiding undergraduate and postgraduate students in research and innovation. His teaching interests include Machine Learning, Artificial Intelligence, Data Mining, Computer Vision, and Operating Systems. He is committed to promoting quality education, interdisciplinary research, and the practical application of AI in healthcare.

Experience
  • 17.5 Years
Qualification
  • B.Tech-CSE
  • M.Tech-CSE
  • PhD-CSE
Award & Recognition

  • Best paper award for International Journal of Scientific Research and Engineering Development—Volume Issue X, Year 2024

Research

  • SCI--Enhanced Triple Layered Approach for Mitigating Security Risks in Cloud.
    Computers, Materials and Continua – Tech Science Press. SCI.
  • IEEE AUG. 2023, India Council International Subsections Conference (INDISCON). TITLE: An Effective Strategy for Cluster Formation and Management via Modified Clustering based Routing Algorithm for WSN
  • SCOPUS--PERFORMANCE COMPARISON BETWEEN DECISION TREE (DT), SVM AND NAÏVE BAYES (NB) ALGORITHMS FOR THE PREDICTION OF ACCURACY IN THE DATASET OF DIABETES UNDER HEALTHCARE SYSTEM
  • International Journal of Scientific Research and Engineering Development—Volume Issue X, Year 2021.
    TITLE: Spam SMS Detection Using Naive Bayes Classifier 
    ISSN NO: 2581-7175, PAPER ID: IJSRED-V4I1P54 Available at www.ijsred.com

Certifications

  • DevNet Associate Instructor Training from Cisco Networking Academy in September 2021.

Area of Interest

  • Machine Learning
  • Distributed system
  • Artificial intelligence