Dr. Angshu Kumar Sinha
Also known as: Dr A K Sinha
NSHM Knowledge Campus - Durgapur, NSHM Knowledge Campus Durgapur, NIT, DURGAUR
About
I am Dr. Angshu Kumar Sinha, currently serving as an Assistant Professor in the Department of Mathematics at NSHM School of Engineering and Technology, NSHM Knowledge Campus, Durgapur, West Bengal, India. I obtained my Ph.D. in Mathematics from National Institute of Technology Durgapur.
My research interests lie in applied mathematics, computational methods, and mathematical modeling. I have published several research papers in reputed national and international peer-reviewed journals and have presented my work at various academic conferences. I am also actively involved in the peer-review process and serve as a reviewer for several international journals.
I completed my M.Sc. in Mathematics from Visva-Bharati and my B.Sc. from University of Burdwan. In addition to research, I have extensive experience in teaching engineering mathematics to undergraduate students and contributing to academic development in higher education.
Employment
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NSHM Knowledge Campus - Durgapur Assistant Professor2008 - Present
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NSHM Knowledge Campus Durgapur Assistant Professor2008 - Present
Education
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NIT, DURGAUR PhD2013 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- Signed Fuzzy Roman Domination in Graphs: A Unified Framework, Bounds, Algorithms, and Applications Save
- Teaching and Learning Innovation: A Global Comparative Framework with Data-Driven Extensions Save
- Applications of Statistics in Industry: A Comprehensive Global and Indian Perspective Save
- Comprehensive Approaches to Cancer Prevention: Integrating Lifestyle Modifications, Early Detection, and Cellular Oxygen Management Save
- Transforming Healthcare with the Internet of Thinks(IoT) Save
- Optimal Tax Policy of a Stage Structured Prey Predator Fishery: A dynamic Reaction Model Save
- Exploring Šubharikarī Mathematics: The Legacy of Śubhaṅkar Das and His Unique Numerical Systems Save
- Reliability allocation under uncertainty with optimism & pessimism Save
- Machine Learning Applications in Modern Agricultural Science Save
- Advancements in The Field Of Chemoinformatics With the Application of Machine Learning Save