Dr Subir Gupta
Sanaka Educational Trust’s Group of Institutions, Haldia Institute of Technology, Indian Institute of Engineering Science and Technology, Shibpur
About
Profile of Dr Subir Gupta
Dr. Subir Gupta is a prominent figure in academia and is currently the Head of the Department of Computer Science and Engineering (AI & ML) at Haldia Institute of Technology, West Bengal. His academic journey includes a PhD in Engineering from IIEST, Shibpur, and an M.Tech in Computer Science and Engineering. With over 24 years of teaching experience, he has significantly influenced many aspiring computer scientists.
Dr. Gupta has authored 30 research papers in well-regarded journals, demonstrating his deep insights into computer science. His innovative research has also led to two patents, one copyright, and four editorial books from international publishing houses like IGI Global and CRC Press, which showcase his contributions to technological progress. Besides, his editorial work on four books emphasizes his role as a thought leader in the field.
Dr. Gupta's dedication to education, research excellence, and innovation highlights his pivotal role in advancing computer science, mentoring future professionals, and contributing to academic and technological advancements.
Employment
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Sanaka Educational Trust’s Group of Institutions Professor2026 - Present
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Haldia Institute of Technology Associate Professor2024 - 2026
Education
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Indian Institute of Engineering Science and Technology, Shibpur PhD2013 - 2021
Projects & Funding
Projects & funding information is unavailable.
Publications (109)
- Machine Learning–Based Predictive Modeling of Time-Dependent Deformation in Braced Excavations in Soft Alluvial Clay Save
- Advanced Computational Techniques in Analyzing India’s Five-year Plans Save
- AI-Driven Computational Engineering for Sustainable Development Save
- AI-Driven Robotic Systems with Cloud-Based Remote Monitoring for Enhanced Lung Cancer Diagnosis and Surgery Save
- Computer vision of ferrite, pearlite, austenite, bainite, and martensite: A deep learning framework toward high-throughput analysis of steel microstructure Save
- Enhancing Text Intelligence with Soft Voting and TF-IDF Logistic Learners Save
- Optimizing Healthcare with Autonomous Robots: Enhancing Efficiency and Patient Care Save
- Performance Analysis of Tandem Solar Cell with Cs0.05(FA0.77MA0.23)0.95Pb(I0.77Br0.23)3 Based Perovskite as Top cell and Si as Bottom Cell Through SCAPS 1D Save
- Prediction of Time-Dependent Ground Settlement and Wall Deflection in Braced Excavations using an Enhanced Heteroskedastic Gaussian Distribution Regression Framework Save
- Preface Save