Applications of AI in Materials Science

Author:   Sehtab Hossain ,  Shahriar Sajib
Publisher:   IGI Global
ISBN:  

9798337361284


Pages:   332
Publication Date:   19 February 2026
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Applications of AI in Materials Science


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Author:   Sehtab Hossain ,  Shahriar Sajib
Publisher:   IGI Global
Imprint:   Engineering Science Reference
ISBN:  

9798337361284


Pages:   332
Publication Date:   19 February 2026
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Dr. Sehtab Hossain , an Assistant Teaching Professor in the Department of Engineering Technology at West Virginia University, whose work bridges the gap between advanced computing and real-world impact. He completed his doctoral studies in Computer Engineering at the University of Missouri – Kansas City and earned his Master’s in Electrical Engineering from the University of North Dakota. Dr. Hossain specializes in Artificial Intelligence, Machine Learning, and Deep Learning, with a primary research focus on creating innovative AI solutions for pressing healthcare challenges. His significant contributions include enhancing the detection of breast cancer and melanoma, and he's also made strides in the emerging field of plant disease detection, showcasing the versatile benefits of AI across health sectors. Another key area of his research explores the exciting connection between nanoelectronics and Artificial Intelligence. Before his tenure at West Virginia University, Dr. Hossain was an Assistant Professor of Practice in Computer Engineering at the University of the Pacific. Dr. Shahriar Sajib is a lecturer in the Business School at the University of Technology Sydney. Besides teaching, he is actively involved in research and publications. His diverse research has a significant footprint in the field of Machine Learning, Algorithmic Bias, Big Data, Analytic Empowerment, Additive Manufacturing for Surgical and Medical devices, Sharing economy based Multi-sided platform, Value Networks, Sustainable Supply Chain and Social License to Operate (SLO).

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