Dr. Kuljeet Singh
Christ University, Central University of Jammu, Himachal Pradesh Government, University of Jammu
0000-0003-2592-8625
About
Dr. Kuljeet Singh
Assistant Professor
Department of Computer Science, School of Sciences
Christ University, Delhi-NCR, 201003, India.
Dr. Kuljeet Singh is an Assistant Professor in the Department of Computer Science, School of Sciences, CHRIST (Deemed to be University), Delhi NCR Campus, India. He earned his Ph.D. in Computer Science and Information Technology from the Central University of Jammu. He holds a Master of Computer Applications (MCA) from the University of Jammu and an M.Tech. in Computer Science and Engineering from the Indian Institute of Technology (IIT) Patna.
His research interests encompass computational intelligence, artificial intelligence in healthcare, cognitive neuroscience, medical image processing, and rare-disorder diagnosis. His work focuses on applying advanced computational methods to analyse complex medical data, facilitate early disease detection, improve diagnostic accuracy, and support better patient outcomes. Through interdisciplinary research, he seeks to bridge artificial intelligence and neuroscience while developing innovative, clinically relevant solutions to healthcare challenges.
Employment
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Christ University Assistant Professor2024 - Present
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Central University of Jammu Ph.D.2022 - 2026
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University of Jammu Lecturer2019 - 2022
Education
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Himachal Pradesh Government Himachal Pradesh State Eligibility Test (HP SET)2019 - Present
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University of Jammu National Eligibility Test (NET)2019 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (32)
- DMRD-Net: Dual modality retinal diagnostic network with few shot episodic learning and XAI interpretability Save
- Deep CP-CXR: A Deep Learning Model for Classification of Covid-19 and Pneumonia Disease Using Chest X-Ray Images Save
- AI and neuroimaging in autism spectrum disorder: advances in diagnosis, methodological challenges and future directions Save
- BC-MBINet: A Novel Architecture for Accurate Classification of Breast Cancer with Microscopic Biopsy Images Using Deep Convolutional Neural Networks Save
- Effective detection of Covid-19 using Xception net architecture: A technical investigation using X-ray images Save
- Machine learning in neuroimaging and computational pathophysiology of Parkinson’s disease: A comprehensive review and meta-analysis Save
- Using Recurrent Neural Networks to Forecast Climate Change: A Time Series Analysis of Global Temperature Variability Save
- Meta-Learning based efficient framework for diagnosing rare disorders: A comprehensive survey Save
- EYE DISEASE SEGMENTATION USING HYBRID NEURAL ENCODER DECODER BASED UNET HYBRID INCEPTION Save
- IRAM–NET model: image residual agnostics meta-learning-based network for rare de novo glioblastoma diagnosis Save