Kuljeet Singh | AI in Healthcare | Young Researcher Award

Published on by Popular Scientist

Mr. Kuljeet Singh | AI in Healthcare | Young Researcher Award

Assistant Professor at Christ University, Delhi NCR, India

Dr. Kuljeet Singh (Ph.D. Scholar, M.Tech., MCA) is an academician and researcher in the field of Computer Science, currently serving as an Assistant Professor at the Department of Computer Science, CHRIST (Deemed to be University), Delhi-NCR. He is also pursuing his Ph.D. at the Central University of Jammu, focusing on advanced areas in Computer Science and IT. With a strong academic foundation including an MCA from the University of Jammu and an M.Tech. (CSE) from IIT Patna (in progress), Dr. Singh has qualified multiple prestigious exams such as UGC NET (five times) and HP-SET.

Profile:

🎓 Academic Background:

  • Ph.D. (Pursuing) – Central University of Jammu (2022–Present)

  • M.Tech in CSE (Pursuing) – IIT Patna (2025–Present)

  • MCA – University of Jammu | 7.70 CGPA

  • B.Sc. – University of Jammu | 61.39%

  • DCA – Shruti Institute of IT & Management, J&K | 87.5%

✅ Exams Qualified:

  • UGC-NET – Dec 2020, June 2021, June 2020, Dec 2019, June 2019

  • HP SET – Nov 2019

🧑‍🏫 Professional Experience:

  • Assistant Professor – CHRIST University, Delhi-NCR (2024–Present)

  • Doctoral Research Scholar – CU Jammu (2022–Present)

  • Lecturer & HoD (CS & IT) – University of Jammu, Kishtwar Campus (2019–2022)

🏆 Academic Highlights:

  • Certified in Research Ethics & Plagiarism (SWAYAM IGNOU, 86%)

  • Completed NPTEL course on Python for Data Science

  • Attended over 35+ FDPs, Webinars & Workshops on AI, Machine Learning, Blockchain, IoT, Cybersecurity, and Data Science

🌐 Notable Engagements:

  • FDPs on AI, Big Data Tools, ICT Tools, and Deep Learning

  • Workshops on Medical Image Analysis, Computational Intelligence, Entrepreneurial Mindset, and Blockchain Technology

  • Active participant in national-level quizzes, webinars, and skill development programs

🧠 Core Areas of Expertise:

  • Machine Learning

  • Cybersecurity & Blockchain

  • IoT & AI Applications

  • Data Science & Programming (Java, Python)

🏅 Vision Statement:

To contribute meaningfully to academia and industry through teaching, cutting-edge research, and community-focused learning initiatives.

📊 Citation Metrics:

  • Total Citations: 717

  • Citations Since 2020: 710

  • h-index: 11

  • i10-index: 11

Publication Top Notes:

  • Time Series Forecasting of COVID-19 using Deep Learning Models: India-USA Comparative Case Study
    Chaos, Solitons & Fractals (2020) – Cited by 327

  • Deep-LSTM Ensemble Framework to Forecast COVID-19: An Insight to the Global Pandemic
    International Journal of Information Technology (2021) – Cited by 81

  • CheXImageNet: A Novel Architecture for Accurate Classification of COVID-19 with Chest X-ray Digital Images Using Deep CNNs
    Health and Technology (2022) – Cited by 51

  • Implementation of Exponential Smoothing for Forecasting Time Series Data
    International Journal of Scientific Research in Computer Science (2019) – Cited by 43

  • The Complexities of Migraine: A Debate Among Migraine Researchers – A Review
    Clinical Neurology and Neurosurgery (2022) – Cited by 40

  • Black Fungus Immunosuppressive Epidemic with COVID-19 Associated Mucormycosis: A Clinical and Diagnostic Perspective from India
    Immunogenetics (2021) – Cited by 34

  • Meta-Health: Meta-Learning as a Next Generation of Deep Learning in Healthcare for Rare Disorders
    Archives of Computational Methods in Engineering (2023) – Cited by 29

  • LiteCovidNet: A Lightweight Deep Neural Network for COVID-19 Detection Using X-ray Images
    International Journal of Imaging Systems and Technology (2022) – Cited by 28

  • CoBiD-Net: A Tailored Deep Learning Ensemble for COVID-19 Time Series Forecasting
    Spatial Information Research (2022) – Cited by 25

  • GBoost: A Novel Grading-AdaBoost Ensemble for Erythemato-Squamous Disease Identification
    International Journal of Information Technology (2021) – Cited by 18

  • A Nested Stacking Ensemble for Predicting Districts with High and Low Maternal Mortality Ratio (MMR) in India
    International Journal of Information Technology (2021) – Cited by 16

  • A Comprehensive Investigation of eNOS Gene Polymorphisms and Risk of Neurological Disorders
    Journal of Molecular Neuroscience (2023) – Cited by 6

  • Classification of Maternal Healthcare Data Using Naive Bayes
    International Journal of Computer Sciences and Engineering (2019) – Cited by 5

  • BC-Net: Early Diagnostics of Breast Cancer Using Nested Ensemble Machine Learning
    Automatic Control and Computer Sciences (2023) – Cited by 3

  • Hybrid CNN-LSTM with Feature Selection and SMOTE for Network Attack Detection
    International Journal of Sensor Networks (2023) – Cited by 3

  • IRAM-NET: Meta-Learning Network for Rare de Novo Glioblastoma Diagnosis
    Neural Computing and Applications (2024) – Cited by 2

  • Convolutional Bi-Directional LSTM Model for Forecasting COVID-19 in Algeria
    Computational Intelligence in Healthcare Applications (2022) – Cited by 2

  • Designing Contactless Automated Systems Using IoT, Sensors, and AI to Mitigate COVID-19
    Internet of Things (2022) – Cited by 2

  • Meta-Learning-Based Framework for Diagnosing Rare Disorders: A Survey
    AIP Conference Proceedings (2024) – Cited by 1

  • En-Fuzzy-ClaF: A Stacked Fuzzy Classification Framework for COVID-19 Diagnosis
    Society 5.0 and the Future of Emerging Computational Technologies (2022) – Cited by 1