Biswadip Basu Mallik

Biswadip Basu Mallik is presently a Senior Assistant Professor of Mathematics in the Department of Basic Sciences & Humanities at Institute of Engineering & Management, Kolkata, India. He has been involved in teaching and research for almost 21 years and has published several research papers and book chapters in various International and National journals and publishers. He has authored five books at undergraduate levels in the areas of Engineering Mathematics, Quantitative Methods and Computational Intelligence. He has also published five Indian patents along with nine edited books. His fields of research work are Computational fluid Dynamics, Mathematical modelling and Optimization. Prof. Basu Mallik is a Managing editor of Journal of Mathematical Sciences & Computational Mathematics (JMSCM), USA. He is also the Editorial board member and reviewer of several international journals. He is a senior life member of Operational Research Society of India (ORSI), a life member of Calcutta Mathematical Society (CMS), Indian Statistical Institute (ISI), Indian Science Congress Association (ISCA), International Association of Engineers (IAENG) and an academic professional member of Society for Data Science (S4DS).

Publications

Application of Mathematical Models in Linear Algebra to the Metaverse Ecosystem
Application of Mathematical Models in Linear Algebra to the Metaverse Ecosystem
Özen Özer, Biswadip Basu Mallik, Gunjan Mukherjee. © 2023. 24 pages.
Linear algebra is a branch of mathematics that is widely used throughout science and engineering. Linear algebra includes arithmetic operations with notation sharing. We can be...
Survey on the Artificial Intelligence and Machine Learning Techniques on the Applications of Wastewater Treatment for Sustainable Environment
Survey on the Artificial Intelligence and Machine Learning Techniques on the Applications of Wastewater Treatment for Sustainable Environment
Yahya Asmar Zakur, Biswadip Basu Mallik, Yousif Asmar Zakoor, Digvijay Pandey. © 2023. 8 pages.
Critical water and wastewater treatment applications have been optimized, modelled, and automated using artificial intelligence (AI) techniques and machine-learning models. Also...