Machine Intelligence for Research and Innovations
Description
The book is a collection of high-quality peer-reviewed research papers presented in the Third International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2025 Summit), held at School of Electronics Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during 1 - 2 August 2025. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.
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Persons
Dr. Lipo Wang is presently on the faculty of the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence with applications to image/video processing, biomedical engineering, communications, control, and power systems. He has 350+ publications, a U.S. patent in neural networks and a patent in systems. He has co-authored 2 monographs and (co-)edited 15 books. He is/was Associate Editor/Editorial Board Member of 30 international journals, including 4 IEEE Transactions, and guest editor for 15 journal special issues. He was a member of the Board of Governors of the International Neural Network Society, IEEE Computational Intelligence Society (CIS), and the IEEE Biometrics Council. He served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee, as well as Chair of Education Committee of the IEEE Engineering in Medicine and Biology Society (EMBS).
Dr. Om Prakash Verma is currently serving as Assistant Professor in the Department of Instrumentation and Control Engineering, Dr B R Ambedkar NIT Jalandhar. His research interests includes: Machine Vision, Machine, Deep and Quantum Learning, Applied Soft-Computing and UAV Autonomous System. He has credit for publishing more than 100+ research publications including international peer-reviewed SCI journals, patent applications, edited books, conferences and book chapters. He has associated with 06 research projects as PI and Co-PI funded by various funding agencies such as ISRO, MeitY, CSIR,etc. He has supervised 2 Ph.D and currently supervising 3 Ph.D students.
Dr. Vikas Kumar is an Assistant Professor in the School of Electronics Engineering at Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India. He earned his PhD from HBNI, BARC, Mumbai, and specializes in Signal Processing and AI/ML applications across healthcare, manufacturing, and related fields. Dr. Kumar has authored numerous research papers and holds 10 granted patents. His work has been honored with the prestigious Homi Bhabha Gold Medal and multiple best paper awards. He has secured research funding from prominent agencies including the Department of Science and Technology, Department of Biotechnology (BIRAC), and MSME, along with support from the Newton Bhabha Fellowship by Coventry University and the Department of Atomic Energy.
Dr. Vimal K. Shrivastava earned his BE in Electronics and Telecommunication Engineering from Chhattisgarh Swami Vivekanand Technical University in 2009, followed by an MTech in Electronic Instrumentation Engineering from the National Institute of Technology Warangal in 2011. He completed his PhD at the National Institute of Technology, Raipur, in 2016. Currently, he is an Assistant Professor at the School of Electronics Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India. His research focuses on image processing, remote sensing, machine learning, and deep learning. Dr. Shrivastava has published numerous papers in SCI and SCOPUS indexed journals and has supervised one PhD scholar. He received the Best Researcher Award at the International Research Awards on New Science Inventions (NESIN 2020) and secured a grant from the Indian Space Research Organisation (ISRO) under the RESPOND BASKET-2021 program.
Dr. Tarun K. Sharma holds Ph.D. in Soft Computing from IIT Roorkee. Presently he is associated with Shobhit University, Gangoh, Saharanpur, in the Department of Computer Science & Engineering, School of Engineering & Technology. He has supervised 10 Ph.D., 7 and M.Tech. dissertations. He has over 100+ research publications in his credit. He has co-edited 6 books. His research interest is artificial intelligence. He is Founding Member of International Conference on Soft Computing: Theories and Applications (SoCTA Series).
Content
Prediction of Breast Cancer by using Random Forest, Decision Tree, SVM and XGBoost.- Intelligent Metro Surveillance System using Deep Learning for Enhanced Safety and Security.- SE-CNN: A Regularized Convolutional Neural Network with Squeeze-and-Excitation for Neurodegenerative Disease Detection.- Thermal Optimization of a Built-in Motor CNC Spindle Using CFD-Based Cooling Design Approaches.- An IoT-enabled Low Cost Force Plate for Balance Monitoring.