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Faculty Directory Dr. Subhajit Kar
Dr. Subhajit Kar

Dr. Subhajit Kar

Professor

[email protected]
Vidwan Profile Google Scholar

Academic Information

PhD, Jadavpur University, 2021

Research Areas

Computational biology Machine learning and optimization

Research Interests

My research interests lie at the intersection of computational biology, machine learning, and optimization, focusing on intelligent data-driven modeling of complex systems. I work on applying advanced learning and optimization techniques for feature selection, prediction, and decision-making in biological and healthcare applications. In parallel, I explore engineering problems such as electrical inverter switching optimization and battery state-of-health estimation and optimization, aiming to improve efficiency, reliability, and lifetime performance. By integrating domain knowledge with machine learning and metaheuristic optimization, my work targets scalable, robust solutions across interdisciplinary applications, bridging bioinformatics and smart energy systems for real-world impact.

Courses Taught

Electric Circuit Theory, Power Electronics, Artificial Intelligence and Machine Learning

Positions Held

Professor and Head, Department of Electrical Engineering
Chair, IEEE Joint CSS IMS Kolkata Chapter

Publications

1. S Kar, KD Sharma, M Maitra, Gene selection from microarray gene expression data for classification of cancer subgroups employing PSO and adaptive K-nearest neighborhood technique, Expert Systems with Applications 42 (1), 612-627 2. S Kar, KD Sharma, M Maitra, Optimised Feature Selection for Identification of Carcinogenic Leukocytes Using Weighted Aggregation Based Transposition PSO, IETE Journal of Research, 1-14 3. S Kar, KD Sharma, M Maitra, Adaptive weighted aggregation in Group Improvised Harmony Search for lung nodule classification, Journal of Experimental & Theoretical Artificial Intelligence, Taylor & Francis, 32, 2, 219-242 4. KD Sharma, S Kar, M Maitra, Intelligent Computing in Carcinogenic Disease Detection, Book, Computational Intelligence Methods and Applications, https://doi.org/10.1007/978-981-97-2424-6_7 5. Rajarshi Bhadra, Subhajit Kar, Sign language detection from hand gesture images using deep multi-layered convolution neural network, 2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI), 196-200 6. Rajarshi Bhadra, Subhajit Kar, Retinal Disease Classification from Optical Coherence Tomographical Scans using Multi-layered Convolution Neural Network, IEEE Applied Signal Processing Conference (ASPCON), 212-216 7. R Bhadra, S Kar, Covid detection from cxr scans using deep multi-layered cnn, 2020 IEEE Bombay section signature conference (IBSSC), 214-218 8. S Saha, R Bhadra, S Kar, An audio signal-based COVID-19 detection methodology using modified DenseNet121, 2021 IEEE 18th India council international conference (INDICON),1-6 9. S Saha, R Bhadra, S Kar, Diagnosis of COVID-19 and Pneumonia using Depthwise Separable Convolutional Neural Network, 2021 IEEE Bombay Section Signature Conference (IBSSC), 1-6 10. P De Sarkar, S Kar, D De, KK Ghosh, A group improvised PSO-random forest-based intelligent hybrid approach for advancing perovskite solar cell efficiency, New Journal of Chemistry, 2025,49, 12129-12139