Indrajit Saha

About

Dr. Saha is a faculty member in the department of Computer Science and Engineering, NITTTR, Kolkata. He has done his postdoctoral research at the National Research Council, Italy and University of Wroclaw, Poland. He was the visiting research scientist at CWI, Netherlands, INRIA France, IIT-CNR, Italy, ICM in University of Warsaw (UW), Poland. He received his Ph.D. degrees in Computer Science and Engineering and Bioinformatics from Jadavpur University and Polish Academy of Sciences. He has co-authored about 100 research papers in various International Journals and Conferences. Dr. Saha is an active member of the board of reviewers for several International Journals. His research interest includes Education Technology, Computational Intelligence, Computational Biology, Machine Learning, Image Processing and Pattern Recognition.

Employment

• National Institute of Technical Teachers' Training and Research Kolkata Assistant Professor
  2015 - Present
• National Research Council, Institute for Informatics and Telematics ERCIM Post-doctoral Fellow
  2015 - 2015
• University of Wroclaw ERCIM Post-doctoral Marie-Curie Fellow
  2014 - 2015
• Jadavpur University Faculty of Engineering and Technology NDF and UGC research Fellow
  2009 - 2014
• University of Warsaw EMMA Research Fellow
  2009 - 2012

Education

• Institute of Computer Science, Polish Academy of Sciences Ph.D
  2014 - 2015
• Jadavpur University Faculty of Engineering and Technology Ph.D
  2008 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (68)

• Unveiling Epigenetic Regulatory Elements Associated with Breast Cancer Development
  International Journal of Molecular Sciences 2025 DOI: 10.3390/ijms26146558
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• Predicting Transcription Factor Binding Sites with Deep Learning
  International Journal of Molecular Sciences 2024 DOI: 10.3390/ijms25094990
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• Unveiling the Molecular Mechanism of Trastuzumab Resistance in SKBR3 and BT474 Cell Lines for HER2 Positive Breast Cancer
  Current Issues in Molecular Biology 2024 DOI: 10.3390/cimb46030171
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• Transcription Factor Driven Gene Regulation in COVID-19 Patients
  Viruses 2023 DOI: 10.3390/v15051188
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• GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification
  Sensors 2020 DOI: 10.3390/s20236823
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• A new SVM integrated rough type-II fuzzy clustering technique
  9th International Conference on Industrial and Information Systems, ICIIS 2014 2015 DOI: 10.1109/ICIINFS.2014.7036555
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• A new evolutionary gene selection technique
  2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings 2015 DOI: 10.1109/CEC.2015.7257080
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• Binding Activity Prediction of Cyclin-Dependent Inhibitors
  Journal of Chemical Information and Modeling 2015 DOI: 10.1021/ci500633c
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• Ensemble based rough fuzzy clustering for categorical data
  Knowledge-Based Systems 2015 DOI: 10.1016/j.knosys.2015.01.008
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• Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation
  Applied Soft Computing Journal 2015 DOI: 10.1016/j.asoc.2016.01.040
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