satish kumar

About

Satish Kumar, M.Phil, MCA. Assistant Professor Department of Information Technology BGSB University Rajouri,

Education: -
-- M.Phil. (Computer Science) [2015], BGSB University, Rajouri, J&K, India. Title of Thesis: “Analysis of Clustering Techniques in Biological Data Using R.”
-- Master of Computer Applications (MCA: 3 Years Master Degree Program) [2010] BGSB University, J&K, India.
-- Bachelor of Science [2007] University of Jammu, J&K, India.
-- Qualified National Eligibility Test (NET) in Computer Science, required for appointment against a teaching position in India, conducted by University Grants Commission (UGC), a statutory body regulating higher education in India.
-- Qualified State Eligibility Test (SET) in Computer Science, required for appointment against a teaching position in the state of J&K, conducted by the state.
-- Qualified online Course Using Python for Research, conducted by Harvard University.

Experience:
-- Teaching/Research Experience: More than 05 years at the university level
-- Research Area: Deep Learning, Image Processing, Computer Vision.

Employment History:
-- Assistant Professor, Department of Information Technology, BGSB University Rajouri, India, October 2017 to date.
-- Lecturer, P.G College Rajouri, appointed through FDP (Faculty Development Program) of the University Grants Commission (UGC), a statutory body regulating higher education in India.

Employment

• BGSB University Assistant Professor
  2017 - Present

Education

• BGSB University MCA

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• WaterIDViT: Open Water Body Extraction in High-Resolution Remote Sensing Images Using Vision Transformers
  2026 DOI: 10.1007/978-3-032-08511-5_24
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• Deep Transfer Learning in Parasites Imaging: A Systematic Review
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-97-7371-8_19
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• Leveraging Computer Vision to Biometric Applications
  Leveraging Computer Vision to Biometric Applications 2024
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• Applications of Transformer in Medical Imaging
  2024 DOI: 10.1201/9781032644509-2
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• Improving faster R-CNN generalization for intestinal parasite detection using cycle-GAN based data augmentation
  Discover Applied Sciences 2024 DOI: 10.1007/s42452-024-05941-y
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• Current Progress and Open Research Challenges for XAI in Deep Learning across Medical Imaging
  Explainable Artificial Intelligence (XAI) in Healthcare 2024 DOI: 10.1201/9781003426073-6
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• Impact of Artificial Intelligence on Society
  Impact of Artificial Intelligence on Society 2024
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• An Efficient and Effective Framework for Intestinal Parasite Egg Detection using YOLOv5
  2023 DOI: 10.20944/preprints202305.0733.v1
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• Advances Towards Automatic Detection and Classification of Parasites Microscopic Images Using Deep Convolutional Neural Network: Methods, Models and Research Directions
  Archives of Computational Methods in Engineering 2023 DOI: 10.1007/s11831-022-09858-w
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