Vishal Dutt

Vishal Dutt is a renowned industry expert in Machine Learning with over eight years of academic teaching experience. He is currently working at Chandigarh University, Punjab, India. He has authored over 50 publications in prestigious national and international journals, SCI and Scopus journals, conferences, and book chapters. Vishal has contributed editorially to multiple books with Wiley, IGI Global, DeGruyter, and Eureka publications and is working on three additional publications with Wiley. A sought-after keynote speaker, he has significantly contributed to workshops and webinars across India. He provides peer review services for elite publishers like Elsevier, Springer, and IEEE Access and was a program committee member and reviewer for ICCIPS 2021. His research focuses on Data Science, Data Mining, Machine Learning, Deep Learning, and Remote Sensing, with extensive experience in data analytics using Rapid Miner, Tableau, and WEKA, as well as over six years in Java and Android development.

Publications

Innovations in Machine Learning and IoT for Water Management
Abhishek Kumar, Arun Lal Srivastav, Ashutosh Kumar Dubey, Vishal Dutt, Narayan Vyas. © 2024. 312 pages.
Water, our planet's life force, faces multiple challenges in the 21st century, including surging global demand, shifting climate patterns, and the urgent need for sustainable...
Quantum Innovations at the Nexus of Biomedical Intelligence
Vishal Dutt, Abhishek Kumar, Sachin Ahuja, Anupam Baliyan, Narayan Vyas. © 2024. 287 pages.
The convergence of quantum technologies and biomedical intelligence is a frontier of boundless potential. The quantum advancements revolutionize disease detection, personalized...
Applying Machine Learning Techniques to Bioinformatics: Few-Shot and Zero-Shot Methods
Umesh Kumar Lilhore, Abhishek Kumar, Sarita Simaiya, Narayan Vyas, Vishal Dutt. © 2024. 398 pages.
Why are cutting-edge data science techniques such as bioinformatics, few-shot learning, and zero-shot learning underutilized in the world of biological sciences?. In a rapidly...
Federated Learning and Privacy-Preserving in Healthcare AI
Umesh Kumar Lilhore, Sarita Simaiya, Manoharan Poongodi, Vishal Dutt. © 2024. 351 pages.
The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized...