Emerging Technologies in Automation, Computation and Electronics
Description
This book is a collection of research papers presented at International Conference on Emerging Technologies in Automation, Computation, and Electronics (EACE 2025) organized by Pranveer Singh Institute of Technology, Kanpur, India during November 2025. It covers recent cutting-edge research in the fields of computation, electronics and VLSI innovation.
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Persons
Dr. Kanad Ray is the director, Amity Cognitive Computing and Brain Informatics Centre, Professor of Physics and Electronics & Communication and Head of Physics at the Amity School of Applied Sciences Amity University Rajasthan (AUR), Jaipur, India. He has obtained M.Sc. and Ph.D. degrees in Physics, respectively, from Calcutta University & Jadavpur University, West Bengal, India. In an academic career spanning over 27 years, he has published and presented research papers in several national and international journals and conferences in India and abroad. Prof. Ray's current research areas of interest include cognition, communication, electromagnetic field theory, antenna & wave propagation, microwave, computational biology, and applied physics.
Dr. Man Mohan Shukla is a distinguished academic leader and researcher, serving as the Group Director at Pranveer Singh Institute of Technology (PSIT) in Kanpur. He holds a Ph.D. in Neural Networks, specializing in Convolutional Neural Networks, Soft Computing, and Deep Learning. In addition to his role as Group Director, Dr. Shukla is also the director of PSIT's Startup and Incubation Foundation. With over two decades of experience in teaching undergraduate and postgraduate students, Dr. Shukla is also a dedicated educator. He has enriched the academic landscape through his involvement in numerous Faculty Development Programs (FDPs), workshops, and seminars. His project work spans cutting-edge areas such as Blockchain, NFTs, and Machine Learning. Dr. Shukla's research interests include machine learning, deep learning, cloud computing, and IoT.
Dr. M. Shamim Kaiser is a professor and ex-director at the Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh. He earned his bachelor's and master's degrees in Applied Physics, Electronics, and Communication Engineering from the University of Dhaka in 2002 and 2004, respectively, and his Ph.D. in Telecommunication Engineering from the Asian Institute of Technology, Thailand, in 2010. With a strong research background, Dr. Kaiser served as a postdoctoral fellow at Anglia Ruskin University, UK and Cambridge University, UK (2017-2018) and as a Special Research Student at Tohoku University, Japan (2008). His research spans Data Analytics, Machine Learning, Wireless Networks & Signal Processing, Cognitive Radio Networks, IoT, Healthcare Informatics, and Cybersecurity. He has published over 300 peer-reviewed papers in renowned journals and conferences.
Dr. Shailendra Singh is currently an Assistant Professor in Electronics Engineering at MITS Gwalior, holding a Ph.D. in VLSI from NIT Jalandhar. He has been recognized among the world's top 2% scientists by Stanford University (2025). He has published over 34 SCI-indexed papers, along with several book editorships, book chapters, and contributions to national and international conferences. His research focuses on nanoscale semiconductor device modeling and TCAD simulation. He has successfully completed a SERB-DST-funded project and holds multiple patents. Dr. Singh has also coordinated FDPs and organized international conferences.
Content
Evaluating the Impact of CLAHE Preprocessing on Multi-Label Chest X-ray Disease Detection and Segmentation.- A Blockchain-Assisted Communication Model for Enhancing Reliability in VANETs.- Formal Method Approach for Verification of Blockchain Smart Contract for E-Governance using Event B.- Graph Based Deep Learning for Structural Analysis in Biomedical Image Segmentation.- Compact Circular Polarized antenna for Long-Range Wireless Applications.- Fire Detection using YOLO v8n-Tweaked.- CBAM-Augmented MobileNetV2 for Robust Multi-Class Fruit Quality Classification.- A Hybrid Framework for Functional Brain Mapping Using EEG-fMRI Fusion and Neural Network-Based Feature Analysis.- Authentication Mechanisms Optimizing Cloud Service Reliability for Security Assurance.- Federated Image-Driven Data Mining with Privacy-Preserving Architectures for Secure Yield Production Forecasting.- The Evolution of Spatial Data Infrastructures with Policy, Integration, and Metadata Management for Effective Geospatial Data Handling
Self-Supervised Learning for Scalable and Efficient Visual Search.- Secure Outsourcing of Medical Data via Blockchain and Deduplication.- Physics-Aware Deep Learning for QoT Safety in Elastic Optical Networks: Conformal Prediction with Explainable Integrable Gradient.