Machine Learning for Semiconductor Materials

Author:   Neeraj Gupta ,  Rashmi Gupta ,  Rekha Yadav ,  Sandeep Dhariwal
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032796888


Pages:   208
Publication Date:   21 August 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
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Machine Learning for Semiconductor Materials


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Author:   Neeraj Gupta ,  Rashmi Gupta ,  Rekha Yadav ,  Sandeep Dhariwal
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.580kg
ISBN:  

9781032796888


ISBN 10:   103279688
Pages:   208
Publication Date:   21 August 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Neeraj Gupta is an Associate Professor at Amity University Haryana with over 16 years of teaching experience. His expertise includes VLSI design, low-power and analog design, AI and embedded systems. He has published 40+ papers, two book chapters, one book and 12 patents and has received the Best Researcher and Best Teacher Award (2024). Rashmi Gupta is an Assistant Professor at Amity University Haryana with 13+ years of experience. Her research interests include AI, software engineering and IoT. She has authored 20+ papers, two book chapters, one book and five patents. Rekha Yadav is an Assistant Professor at DCRUST, Murthal. She specializes in semiconductor device modeling and VLSI design, with 15 years of experience, over 30 publications and four book chapters. Sandeep Dhariwal is an Associate Professor at Alliance University, Bengaluru. With 14+ years of experience, he focuses on low-power CMOS and semiconductor modeling. He has published 40+ articles, three books and holds three patents. Rajkumar Sarma is a Postdoctoral Researcher at the University of Limerick, Ireland. With 11+ years of experience, his research spans digital VLSI, FPGA prototyping and quantum architectures. He has 25+ publications, 15+ patents and two books.

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