Next-Generation Electronic Textiles and Conductive Materials for Smart Wearables

Author:   Pranshu Saxena ,  Mandeep Singh ,  Sanjay Kumar Singh ,  Mamoon Rashid
Publisher:   IGI Global
ISBN:  

9798337342887


Pages:   548
Publication Date:   04 December 2025
Format:   Paperback
Availability:   In Print   Availability explained
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Next-Generation Electronic Textiles and Conductive Materials for Smart Wearables


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Author:   Pranshu Saxena ,  Mandeep Singh ,  Sanjay Kumar Singh ,  Mamoon Rashid
Publisher:   IGI Global
Imprint:   Engineering Science Reference
ISBN:  

9798337342887


Pages:   548
Publication Date:   04 December 2025
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. Pranshu Saxena is an Assistant Professor at Bennett University, Greater Noida, with a Ph.D. in Computer Science and Engineering from Punjab Technical University, Jalandhar. With 11+ years of academic and research experience, his expertise includes medical image processing, automated image segmentation, texture analysis, and pattern recognition. He has published high-impact SCI and SCOPUS-indexed research papers in reputed journals and authored books in computer-assisted medical image analysis. Recognized for his contributions to histopathological image analysis and AI-driven medical diagnostics, he continues to make significant strides in research, teaching, and academic leadership. Mandeep Singh is an accomplished academician and Assistant Professor in the School of Computer Science, Engineering, and Technology (SCSET) at Bennett University, Greater Noida, India. He holds a Master’s degree with Distinction in Information Security from Ambedkar Institute of Advanced Communication Technologies and Research (AIACTR) (now NSUT East Campus). With over nine years of teaching experience, he is currently pursuing a Ph.D. in Computer Science & Engineering from Dr. B.R. Ambedkar National Institute of Technology (NIT) Jalandhar, where he completed his coursework with Distinction (8.00 CGPA). Mr. Singh's expertise spans Computer Networks, Mobile Ad Hoc Networks (MANETs), Machine Learning, and Deep Learning. His research contributions include book chapters, international journals, and conference proceedings, alongside a notable track record of patent publications. Additionally, he actively reviews papers for international conferences and journals and has held special sessions at prestigious events. His dedication to excellence has earned him awards and recognition from the Institute of Industrial Development (IID) and MSME, Government of India for contributions to research and entrepreneurship. Sanjay Kumar Singh is currently working as an assistant professor in university school of automation and Robotics, Guru Gobind Singh Indraprastha University, East Delhi campus, Delhi. He has more than 12 years of experience in teaching and received integrated postgraduate (B. Tech + M. Tech) degree from ABV-Indian Institute of Information Technology & Management, Gwalior and Ph. D. degree from IKG-Punjab Technical University. He has published more than 50 papers in reputed journals and international conferences. His area of research in the field of machine learning, deep learning, soft computing and intelligent systems. Mamoon Rashid is currently working as an Assistant Professor at the School of Information Communication and Technology, Bahrain Polytechnic, Bahrain. He received his Ph.D. from the Department of Computer Engineering, Punjabi University, Punjab, India in the field of Medical Imaging Informatics. He is carrying 10+ years of teaching experience at university level as an Assistant Professor. He has published 150+ papers indexed in SCI/SCIE journals and conferences of international repute with JCR Impact Factor of 300+. His area of interest includes Data Analytics, Computational Medical Imaging- (fMRI, MRI, 3D-Amplified MRI, CT Scan Imaging) and Computer Vision.

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