Machine Intelligence for Research and Innovations: Proceedings of Maitri 2023, Volume 1 (機器智慧於研究與創新：Maitri 2023 會議論文集，第1卷)

本書是第一屆國際機器智慧研究與創新會議（MAiTRI 2023 峰會）所呈現的高品質同行評審研究論文集，會議於2023年9月1日至3日在印度旁遮普的德拉B.R.安貝德卡國立技術學院舉行。本書專注於機器智慧（MI）理論及其實現的最新進展，以及相關工具和日益增長的應用，如機器學習、深度學習、量子機器學習、即時電腦視覺、模式識別、自然語言處理、統計建模、自動駕駛車輛、人機介面、計算智慧和機器人技術。

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 90+ 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. He is a Senior Member of IEEE, and Member of IEEE Computational Intelligence Society, IEEE Control Systems Society, Automatic Control and Dynamic Optimization Society and life time member of Instrument Society of India and STEM Research Society. He is an associate editor of the International Journal of Security and Privacy in Pervasive Computing.

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). He was President of the Asia-Pacific Neural Network Assembly (APNNA) and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter.

Dr. Rajesh Kumar is working as a Professor in the Department of Electrical Engineering, MNIT, Jaipur. His research interests focus on Intelligent Systems, Machine Intelligence, Power Management, Smart Grid and Robotics. He has published over 550 research articles, has supervised 25 PhD and more than 35 M.Tech thesis. He has 14 patents to his name. He received 03 academic awards, 12 best paper awards, 06 best thesis award, 04 professional awards and 25- student award. He has received the Career Award for Young Teachers in 2002 from Govt. of India. He has been Associate Editor of IEEE Access, IEEE ITeN, Swarm and Evolutionary Computation, Elsevier, IET Renewable and Power Generation, IET Power Electronics, International Journal of Bio Inspired Computing and CAAI Transactions on Intelligence Technology, IET. He is a Senior Member IEEE (USA), Fellow IET (UK), Fellow IE (INDIA), Fellow IETE, Life Member CSI, Senior Member IEANG and Life Member IST.

Dr Anupam Yadav is an Associate Professor at the Department of Mathematics, Dr B R Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence, he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done Ph.D. in soft computing from the Indian Institute of Technology Roorkee and he worked as a research professor at Korea University. He has published several research articles in journals of international repute. Dr Yadav has authored a textbook entitled "An Introduction to neural network methods for differential equations. He has edited several books which are published by AISC, LNDECT Springer Series. Dr Yadav was the General Chair, Convener and member of the steering committee of several international conferences. He is a member of various research societies.

Dr. Om Prakash Verma 目前擔任印度 B R Ambedkar 國立科技學院儀器與控制工程系的助理教授。他的研究興趣包括：機器視覺、機器學習、深度學習和量子學習、應用軟計算及無人機自主系統。他已發表超過 90 篇研究論文，包括國際同行評審的 SCI 期刊、專利申請、編輯書籍、會議論文及書籍章節。他參與了 6 個研究專案，擔任主要研究者和共同研究者，這些專案由 ISRO、MeitY、CSIR 等各種資助機構資助。他已指導 2 位博士生，並目前指導 3 位博士生。他是 IEEE 的資深會員，並且是 IEEE 計算智能學會、IEEE 控制系統學會、自動控制與動態優化學會的會員，以及印度儀器學會和 STEM 研究學會的終身會員。他是《國際普遍計算安全與隱私期刊》的副編輯。

Dr. Lipo Wang 目前在新加坡南洋理工大學電氣與電子工程學院任教。他的研究興趣是人工智慧，應用於影像/視頻處理、生物醫學工程、通訊、控制和電力系統。他擁有超過 350 篇的出版物，並擁有一項美國神經網絡專利和一項系統專利。他共同撰寫了 2 本專著，並（共同）編輯了 15 本書籍。他曾擔任 30 本國際期刊的副編輯/編輯委員會成員，包括 4 本 IEEE 期刊，並擔任 15 本期刊特刊的客座編輯。他曾是國際神經網絡學會、IEEE 計算智能學會 (CIS) 和 IEEE 生物識別委員會的理事會成員。他曾擔任 CIS 技術活動副總裁和新興技術技術委員會主席，以及 IEEE 醫學與生物工程學會 (EMBS) 教育委員會主席。他曾是亞太神經網絡大會 (APNNA) 的會長，並獲得 APNNA 優秀服務獎。他是 EMBS 新加坡分會和 CIS 新加坡分會的創始主席。

Dr. Rajesh Kumar 目前在印度 Jaipur 的 MNIT 電機工程系擔任教授。他的研究興趣集中在智能系統、機器智能、電力管理、智慧電網和機器人技術。他已發表超過 550 篇研究文章，指導了 25 位博士生和超過 35 篇碩士論文。他擁有 14 項專利，並獲得 3 項學術獎、12 項最佳論文獎、6 項最佳論文獎、4 項專業獎和 25 項學生獎。他於 2002 年獲得印度政府頒發的青年教師職業獎。他曾擔任 IEEE Access、IEEE ITeN、Swarm and Evolutionary Computation、Elsevier、IET Renewable and Power Generation、IET Power Electronics、International Journal of Bio Inspired Computing 和 CAAI Transactions on Intelligence Technology 的副編輯。他是 IEEE (美國) 的資深會員、IET (英國) 的院士、IE (印度) 的院士、IETE 的院士、CSI 的終身會員、IEANG 的資深會員和 IST 的終身會員。

Dr. Anupam Yadav 是印度 B R Ambedkar 國立科技學院數學系的副教授。他的研究領域包括數值優化、軟計算和人工智慧，擁有超過十年的軟計算和優化研究經驗。Yadav 博士在印度理工學院魯爾基獲得軟計算的博士學位，並曾在韓國大學擔任研究教授。他在國際知名期刊上發表了多篇研究文章。Yadav 博士撰寫了一本名為《神經網絡方法在微分方程中的應用入門》的教科書。他編輯了多本由 AISC、LNDECT Springer 系列出版的書籍。Yadav 博士曾擔任大會主席、召集人及其他職務。