About
Dr. Akshaya Kumar Mandal appears to be a highly qualified and accomplished individual in the field of Computer Science, particularly in the areas of machine learning, bio-inspired computing, big data analytics, and bioinformatics. Dr. Mandal holds an impressive academic background, having earned a Ph.D. in Computer Science from Assam University, a Master's in Technology (M.Tech.) from Utkal University, and an M.Phil. from F.M. University. His Ph.D. thesis on the application of bio-inspired computing techniques in bioinformatics indicates his ability to conduct innovative research. His educational credentials, combined with over 12 years of teaching experience, suggest that he possesses a deep understanding of his field.
Dr. Mandal's research interests lie at the intersection of machine learning, bio-inspired computing, big data analytics, and bioinformatics. He has focused on developing novel computational methods and algorithms in these areas, which have potential applications in various domains such as disease detection, pattern recognition, and bioinformatics. His work on bio-inspired computing techniques and machine learning models for medical diagnostics demonstrates his contribution to both theoretical and applied research. Professional Experience and Mentorship: With over 12 years of experience in teaching and research, Dr. Mandal has contributed significantly to the academic environment. His role as a Research Fellow at Assam University and his prior positions as a Senior Lecturer and Assistant Professor further highlight his extensive academic involvement. His mentorship of undergraduate and postgraduate students on various research projects in fields like wireless sensor networks and bioinformatics is commendable.
Dr. Akshaya Kumar Mandal recognition through Best Scientist Award 2026 in the field of Computer Science by The Scientific Laurels. "https://www.scientificlaurels.com/biography/s8ut4j" and Best Researcher Award in Machine Learning 2025, by science father, Cryogenicist Global Awards. "https://cryogenicist.com/akshaya-kumar-mandal-machine-learning-best-researcher-award-1829/". Dr. Mandal’s also recognition through a "Best Poster Presentation Certificate" at the International Conference on Advanced Computing, Machine Learning, Robotics, and Internet Technologies (AMRIT-2023) is a testament to the quality of his research. His multiple publications in high-impact journals, alongside conference presentations, illustrate his commitment to advancing knowledge in his field.
Based on his extensive academic qualifications, innovative research contributions, publications in renowned journals, active participation in conferences, and dedication to teaching and mentorship, His work in bio-inspired computing and machine learning, particularly with applications in bioinformatics, disease detection, and pattern recognition, makes him a valuable asset to the scientific community. Furthermore, his commitment to the professional and intellectual development of his students and colleagues showcases his leadership and mentorship qualities. His current research focuses on exploring bio-inspired algorithms and their applications in real-world scenarios.
Employment
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Education
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Publications (18)
- Efficient detection of tomato flu skin lesions with cuckoo search clustering and non-negative matrix factorization Save
- Analysis of machine learning approaches for predictive modeling in heart disease detection systems Save
- Bioinspired Machine Learning Save
- USAGE OF PARTICLE SWARM OPTIMIZATION IN DIGITAL IMAGES SELECTION FOR MONKEYPOX VIRUS PREDICTION AND DIAGNOSIS Save
- A Hybrid Ant Colony Optimization Algorithm for Human Monkeypox DNA Codon Selection Save
- A Hybrid Machine Learning Based Cuckoo Search Clustering with Application of Image Recognition Techniques for Tomato Flu Skin Lesion Detection Save
- Usage of Particle Swarm Optimization in Digital Images Selection for Monkeypox Virus Prediction and Diagnosis Save
- A Study of Bio-inspired Computing in Bioinformatics: A State-of-the-art Literature Survey Save
- Image-based Skin Disease Detection and Classification through Bioinspired Machine Learning Approaches Save
- A STEP-BY-STEP MATHEMATICAL DERIVATION OF ANT COLONY OPTIMIZATION ALGORITHM FOR SOLVING THE TRAVELING SALESMAN PROBLEM Save