Dr. Biswadip Basu Mallik

About

Dr. Biswadip Basu Mallik is currently a Professor of Mathematics in the Department of Basic Science & Humanities at the Institute of Engineering & Management, University of Engineering and Management, Kolkata, India. With over 22 years of experience in teaching and research, he has published numerous research papers and book chapters in scientific journals from esteemed international publishers such as CRC Press, Apple, Wiley, IGI Global, Springer, Nova Science, IEEE etc. Dr. Basu Mallik has authored five undergraduate-level books on Engineering Mathematics, Quantitative Methods, and Computational Intelligence. He has also published five Indian patents and edited nineteen books. His research interests include Computational Fluid Dynamics, Mathematical Modeling, Optimization, and Machine Learning. He serves as the Series Editor for the book series titled Mathematics and Computer Science from Wiley-Scrivener, USA, and is the Managing Editor of the Journal of Mathematical Sciences & Computational Mathematics (JMSCM), USA. Additionally, Dr. Basu Mallik is an Editorial Board member and reviewer for several scientific journals. He holds senior life membership in the Operational Research Society of India (ORSI) and life membership in the Calcutta Mathematical Society (CMS), Indian Statistical Institute (ISI), Indian Science Congress Association (ISCA), and the International Association of Engineers (IAENG).

Employment

• Institute of Engineering & Management, University of Engineering and Management Professor
  2002 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (84)

• Analyzing Energy Efficiency and Parametric Uncertainty in Pneumatic System Control
  2026 DOI: 10.1007/978-3-032-10047-4_37
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• Aqua-Sentinels Safeguarding Inland Waters from Plastic Peril
  2026 DOI: 10.1007/978-3-032-10047-4_3
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• Evaluation of the Cognitive Expenses Related to an Energy Management Method for the IoT Utilizing Evolutionary Fuzzy Rules (EFR)
  2026 DOI: 10.1007/978-3-032-10047-4_39
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• Improving Machine Learning Models for Cybersecurity: A Stepwise Approach with Data Pre-processing and Hyperparameter Optimization
  2026 DOI: 10.1007/978-3-032-10047-4_35
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• Machine Learning-Driven Acute Oral Toxicity Predictions by Random Forest
  2026 DOI: 10.1007/978-3-032-10047-4_41
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• Optimizing Dynamic Sampling in IoT Sensors: A Machine Learning-Driven Method for Energy-Efficient Data Collection
  2026 DOI: 10.1007/978-3-032-10047-4_43
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• Quantum Agrigenomics: Pioneering Crop Enhancement
  2026 DOI: 10.1007/978-3-032-10047-4_26
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• Strategic Segmentation: A Nash Equilibrium-Based Approach for Weed Segmentation in Agricultural Fields
  2026 DOI: 10.1007/978-981-96-9494-5_24
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• A3FUS-Net: Towards automated Renal Cell Carcinoma grading system via advanced adaptive attention mechanism aided deep learning fusion
  Computers and Electrical Engineering 2026 DOI: 10.1016/j.compeleceng.2026.111193
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• A Novel Algorithm for Digital Twin Accuracy
  2025 DOI: 10.1007/978-3-031-82733-4_3
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