Computational Intelligence Aided Systems for Healthcare Domain

本書涵蓋了人工智慧、智慧計算的最新進展及其在增強醫療和健康照護系統中的應用。它將成為電機、電子與通信、計算機及生醫等多個工程領域的研究生和學術研究者的理想參考書籍。

本書：

- 提出人工智慧和智慧計算在健康照護系統中的架構、特徵和應用
- 突顯在健康照護和健康資訊學中使用人工智慧和智慧計算技術所面臨的隱私問題
- 討論自然啟發的計算演算法在腦機介面中的應用
- 涵蓋圖神經網絡在醫療領域的應用
- 提供對於最先進的人工智慧和智慧計算啟用及新興技術的見解

本書討論了人工智慧和智慧技術在醫療領域的最新進展和應用。它突顯了在健康照護和健康資訊學中使用人工智慧和智慧計算技術所面臨的隱私問題。它涵蓋了自然啟發的計算演算法，如遺傳演算法、粒子群優化演算法和常見的混淆演算法，以研究腦機介面。它將成為電機工程、電子與通信工程、計算機工程和生醫工程領域的研究生和學術研究者的理想參考書籍。

Dr Akshansh Gupta is a scientist at CSIR-Central Electronic Engineering Research Institute Pilani Rajasthan. He has worked as a DST-funded postdoctoral research fellow as a principal investigator under the scheme of the Cognitive Science Research Initiative (CSRI) from the Department of Science and Technology (DST), Ministry of Science and Technology, Government of India, from 2016 to 2020 in School of Computational Integrative and Science, Jawaharlal Nehru University, New Delhi. He has many publications, including Springer, Elsevier, and IEEE Transaction. He received his master's and a PhD degree from the School of computer and systems sciences, JNU, in 2010 and 2015, respectively. His research interests include Pattern Recognition, Machine Learning, Data Mining Signal Processing, Brain Computer Interface, Cognitive Science, and IoT. He is also working as CO-PI on a consultancy project named "Development of Machine Learning Algorithms for Automated Classification Based on Advanced Signal Decomposition of EEG Signals" ICPS Program, DST Govt. of India.

Dr Hanuman Verma received the PhD and M.Tech degrees in Computer Science and Technology from the School of Computer and Systems Sciences (SC&SS) at Jawaharlal Nehru University (JNU), New Delhi, India, in 2015 and 2010, respectively. He also did his master of Science (M.Sc.) degree in Mathematics & Statistics from Dr R. M. L. Avadh University, Ayodhya, Uttar Pradesh, India. He has worked as a junior research fellowship (JRF) and senior research fellowship (SRF) from 2009 to 2013, received from the Council of Scientific and Industrial Research (CSIR), New Delhi, India. Currently, he is working as Assistant Professor at the Department of Mathematics, Bareilly College, Bareilly, Uttar Pradesh, India. He has published research papers in reputed international journals, including Elsevier, Wiley, World Scientific, and Springer, in machine learning, deep learning and medical image computing. His primary research interest includes machine learning, deep learning, medical image computing, and mathematical modelling.

Dr Mukesh Prasad (SMIEEE, ACM) is a Senior Lecturer in the School of Computer Science (SoCS), Faculty of Engineering and Information Technology (FEIT), University of Technology Sydney (UTS), Australia. His research expertise lies in developing new methods in artificial intelligence and machine learning approaches like big data analytics, and computer vision within the healthcare domain, biomedical research. He has published more than 100 articles, including several prestigious IEEE Transactions and other Top Q1 journals and conferences in the areas of Artificial Intelligence and Machine Learning. His current research interests include pattern recognition, control system, fuzzy logic, neural networks, the internet of things (IoT), data analytics, and brain-computer interface. He received an M.S. degree from the School of Computer Systems and Sciences, Jawaharlal Nehru University, New Delhi, India, in 2009, and a PhD degree from the Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, in 2015. He worked as a principal engineer at Taiwan Semiconductor Manufacturing Company, Hsinchu, Taiwan, from 2016 to 2017. He started his academic career as a Lecturer with the University of Technology Sydney in 2017. He is also an Associate/Area Editor of several top journals in the field of machine learning, computational intelligence, and emergent technologies.

Prof. Chin-Teng Lin Distinguished Professor Chin-Teng Lin received a Bachelor's of Science from National Chiao-Tung University (NCTU), Taiwan, in 1986, and holds Master's and PhD degrees in Electrical Engineering from Purdue University, USA, received in 1989 and 1992, respectively. He is currently a distinguished professor and Co-Director of the Australian Artificial Intelligence Institute within the Faculty of Engineering and Information Technology at the University of Technology Sydney, Australia. He is also an Honorary Chair Professor of Electrical and Computer Engineering at NCTU. For his contributions to biologically inspired information systems, Prof Lin was awarded Fellowship with the IEEE in 2005 and the International Fuzzy Systems Association (IFSA) in 2012. He received the IEEE Fuzzy Systems Pioneer Award in 2017. He has held notable positions as editor-in-chief of IEEE Transactions on Fuzzy Systems from 2011 to 2016; seats on the Board of Governors for the IEEE Circuits and Systems (CAS) Society (2005-2008), IEEE Systems, Man, Cybernetics (SMC) Society (2003-2005), IEEE Computational Intelligence Society (2008-2010); Chair of the IEEE Taipei Section (2009-2010); Chair of IEEE CIS Awards Committee (2022); Distinguished Lecturer with the IEEE CAS Society (2003-2005) and the CIS Society (2015-2017); Chair of the IEEE CIS Distinguished Lecturer Program Committee (2018-2019); Deputy Editor-in-Chief of IEEE Transactions on Circuits and Systems-II (2006-2008); Program Chair of the IEEE International Conference on Systems, Man, and Cybernetics (2005); and General Chair of the 2011 IEEE International Conference on Fuzzy Systems. Prof Lin is the co-author of Neural Fuzzy Systems (Prentice-Hall) and the author Neural Fuzzy Control Systems with Structure and Parameter Learning (World Scientific). He has published more than 400 journal papers, including over 180 IEEE journal papers in neural networks, fuzzy systems, brain-computer interface, multimedia information processing, cognitive neuro-engineering, and human-machine teaming, that have been cited more than 30,000 times. Currently, his h-index is 82, and his i10-index is 356.

Dr. Akshansh Gupta 是印度拉賈斯坦邦比拉尼的 CSIR-中央電子工程研究所的科學家。他曾於 2016 年至 2020 年期間，作為 DST 資助的博士後研究員，擔任認知科學研究倡議（CSRI）計畫的主要研究者，該計畫由印度科學與技術部（DST）提供資助，並在新德里的賈瓦哈拉爾·尼赫魯大學計算整合科學學院工作。他擁有多篇出版物，包括在 Springer、Elsevier 和 IEEE Transactions 上發表的文章。他於 2010 年和 2015 年分別獲得賈瓦哈拉爾·尼赫魯大學計算機與系統科學學院的碩士和博士學位。他的研究興趣包括模式識別、機器學習、數據挖掘、信號處理、大腦計算機介面、認知科學和物聯網（IoT）。他目前也在一個名為「基於 EEG 信號的先進信號分解自動分類的機器學習演算法開發」的諮詢項目中擔任共同主要研究者，該項目屬於印度政府 DST 的 ICPS 計畫。

Dr. Hanuman Verma 於 2015 年和 2010 年分別在印度新德里的賈瓦哈拉爾·尼赫魯大學（JNU）計算機與系統科學學院獲得計算機科學與技術的博士和碩士學位。他還在印度北方邦阿約提亞的 R. M. L. 阿瓦德大學獲得數學與統計的理學碩士學位。他曾於 2009 年至 2013 年期間擔任初級研究員（JRF）和高級研究員（SRF），該職位由印度新德里的科學與工業研究委員會（CSIR）提供。目前，他在印度北方邦巴雷利的巴雷利學院數學系擔任助理教授。他在包括 Elsevier、Wiley、World Scientific 和 Springer 等知名國際期刊上發表了多篇研究論文，研究領域涵蓋機器學習、深度學習和醫學影像計算。他的主要研究興趣包括機器學習、深度學習、醫學影像計算和數學建模。

Dr. Mukesh Prasad（SMIEEE, ACM）是澳大利亞悉尼科技大學（UTS）計算機科學學院（SoCS）的一名高級講師。他的研究專長在於開發人工智慧和機器學習方法，如大數據分析和計算機視覺，特別是在醫療保健和生物醫學研究領域。他已發表超過 100 篇文章，包括多篇在 IEEE Transactions 和其他頂級 Q1 期刊及會議上的文章，涉及人工智慧和機器學習領域。他目前的研究興趣包括模式識別、控制系統、模糊邏輯、神經網絡、物聯網（IoT）、數據分析和大腦計算機介面。他於 2009 年在印度新德里的賈瓦哈拉爾·尼赫魯大學計算機系統與科學學院獲得碩士學位，並於 2015 年在台灣新竹的國立交通大學計算機科學系獲得博士學位。他曾於 2016 年至 2017 年在台灣積體電路製造公司擔任主要工程師。他於 2017 年開始在悉尼科技大學擔任講師，並且是多本機器學習、計算智能和新興技術領域頂級期刊的副編輯/區域編輯。

林欽騰教授於 1986 年獲得台灣國立交通大學的理學士學位，並於 1989 年和 1992 年分別在美國普渡大學獲得電機工程的碩士和博士學位。他目前是悉尼科技大學工程與資訊科技學院的傑出教授及澳大利亞人工智慧研究所的共同主任。