SATADAL SAHA

About

Dr. Satadal Saha did his Bachelor of Science in Physics (Hon’s), Bachelor of Technology in Optics and Optoelectronics and Master of Technology in Optics and Optoelectronics from University of Calcutta, India in 1995, 1998 and 2000 respectively. He completed his PhD in Computer Science and Engineering from Jadavpur University, India in 2014. He is the recipient of European Union Erasmus Mundus Mobility with Asia (EMMA) post-doctoral fellowship under P6 mobility program in 2014 and carried out his research work at the Center of New Technologies, University of Warsaw, Warsaw, Poland in 2014-15.
Dr. Saha started his career in 2001 as a Lecturer in the Department of Information Technology in College of Textile Technology, Srirampur. In 2004 he joined as a Lecture in the Department of Computer Science and Engineering in MCKV Institute of Engineering, Liluah, Howrah. He is currently working as a Professor in the department of Electronics and Communication Engineering in MCKV Institute of Engineering, Liluah, Howrah, India.
He has authored a book titled Computer Network and also has been the author of 6 edited volumes. He has 23 research publications in reputed journals and conferences and has contributed to 6 book chapters. He has been awarded 2 US patents on image binarization. He is one of the Editorial Board members of International Journal of Hybrid Intelligence, Inderscience. His research interest includes image biomedical and biological cellular image processing. Dr. Saha is a life corporate member of Institute of Electronics and Telecommunication Engineering (IETE), India.

Employment

• MCKV Institute of Engineering Professor
  2004 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• Development of an interactive GUI using MATLAB for the detection of type and stage of Breast Tumor
  Arxiv 2024 DOI: 10.48550/arXiv.2407.00480
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• Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology
  Plos One 2023 DOI: 10.1371/journal.pone.0286862
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• Deep learning: Research and applications
  Deep Learning: Research and Applications 2020 DOI: 10.1515/9783110670905
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• Preface
  Deep Learning: Research and Applications 2020 DOI: 10.1515/9783110670905-202
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• A Review on Automatic License Plate Recognition System
  Arxiv 2019 DOI: 10.48550/arxiv.1902.09385
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• A Review on Automatic License Plate Recognition System
  arXiv 2019
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• Text localization in camera captured images using fuzzy distance transform based adaptive stroke filter
  Multimedia Tools and Applications 2019 DOI: 10.1007/s11042-019-7178-3
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• Automatic identification of fracture region within bone in X-ray image
  2018 2nd International Conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2018 2018 DOI: 10.1109/IEMENTECH.2018.8465196
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• 2dSpAn: Semiautomated 2-d segmentation, classification and analysis of hippocampal dendritic spine plasticity
  Bioinformatics 2016 DOI: 10.1093/bioinformatics/btw172
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• Text localization in camera captured images using adaptive stroke filter
  Advances in Intelligent Systems and Computing 2015 DOI: 10.1007/978-81-322-2247-7_23
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