Tarun Kumar Ghosh

About

Prof. Tarun Kumar Ghosh has received Ph.D. (Engineering) from the University of Kalyani, West Bengal, India; M.E. in Computer Science and Engineering from Bengal Engineering College (DU) [now IIEST], Shibpur, Howrah, India and B.Tech. in Computer Science and Engineering from the University of Calcutta, India. He is currently working as the Principal of Manbhum Mahavidyalaya, Manbazar, Purulia, West Bengal, India. Prior this, he worked as a Professor and Head of the Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning), Haldia Institute of Technology, West Bengal, India.

Employment

• Manbhum Mahavidyalaya Principal
  2023 - Present
• Haldia Institute of Technology Professor
  2004 - 2023
• Asansol Engineering College Lecturer/ Assistant Professor
  2001 - 2004

Education

• Bengal Engineering College (Now IIEST), Shibpur Master of Engineering
  1999 - 2001
• University of Calcutta Bachelor of Technology
  1996 - 1999
• Ramakrishna Mission Residential College Bachelor of Science (Hons)
  1993 - 1996
• University of Kalyani PhD (Engineering)

Projects & Funding

Projects & funding information is unavailable.

Publications (33)

• Evaluating Non-Linear Machine Learning Approaches in Downscaling Modis Land Surface Temperature: A Case Study on Purulia
  32nd West Bengal State Science & Technology Congress 2025
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• A Novel Steganography Approach Using S-CycleGAN With an Improvement of Loss Function
  2023 DOI: 10.4018/978-1-6684-7524-9.ch007
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• Cloud Task Scheduling Using Modified Penguins Search Optimization Algorithm
  International Journal of Next-Generation Computing 2023
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• Comparative Study of Some Nature-Inspired Meta-Heuristics for Task Scheduling in a Computational Grid System
  2023 DOI: 10.4018/978-1-6684-7524-9.ch001
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• Archimedes optimizer-based fast and robust fuzzy clustering for noisy image segmentation
  The Journal of Supercomputing 2022 DOI: 10.1007/s11227-022-04769-w
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• Artificial Intelligence
  Springer Nature Switzerland 2022 DOI: 10.1007/978-3-031-22485-0
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• Hybridization of Sine-Cosine Algorithm with K-Means for Pathology Image Clustering
  Communications in Computer and Information Science 2022 DOI: 10.1007/978-3-031-22485-0_8
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• Teaching learning-based optimisation for job scheduling in computational grids
  International Journal of Advanced Intelligence Paradigms 2022 DOI: 10.1504/ijaip.2022.121030
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• A Modified Binary PSO Algorithm for Scheduling Independent Jobs in Grid Computing System
  International Journal of Next-Generation Computing 2021 DOI: 10.47164/ijngc.v7i2.211
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• Solving Job Scheduling Problem in Computational Grid Systems Using a Hybrid Algorithm
  Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing 2021 DOI: 10.4018/978-1-7998-5339-8.ch111
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