Swarm Optimization for Biomedical Applications
暫譯: 生物醫學應用的群體優化
Mallik, Saurav, Zhao, Zhongming, Jana, Nanda Dulal
商品描述
Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system. It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancements, machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. However, accuracy and reliability in model performance can be a concern in tackling data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research.
Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has the potential to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, the book aims to provide the utility of swarm optimization and similar optimization techniques to design ML/DL models to improve the solutions related to biomedical engineering.
商品描述(中文翻譯)
生物醫學工程是一個快速成長的跨學科領域，旨在解決生物和醫療問題，並改善醫療保健系統。它與多種應用相關，例如蛋白質結構預測、計算機輔助藥物設計，以及基於影像和信號數據的計算機醫療診斷，這些應用能夠提供低成本、準確且可靠的解決方案，以改善醫療服務。隨著最近的進展，機器學習（ML）和深度學習（DL）技術在生物醫學工程中被廣泛應用，以實時開發智能決策的醫療保健系統。然而，在處理來自醫療影像和信號生成的數據時，模型性能的準確性和可靠性可能會成為一個問題，這使得研究人員和實踐者面臨挑戰。因此，優化模型可以提供高品質的醫療保健服務，以應對生物醫學研究中涉及的複雜性。
各種優化技術已被用來優化明確應用於生物、醫療和信號數據的ML/DL模型的參數、超參數和架構信息。群體智慧方法具有解決複雜非線性優化問題的潛力。它模擬社會群體的集體行為，例如蟻群、蜜蜂和鳥群。群體的合作特性可以搜索ML/DL模型的全局設置，這有效地為生物醫學工程應用提供解決方案。最後，本書旨在提供群體優化及類似優化技術的實用性，以設計ML/DL模型，改善與生物醫學工程相關的解決方案。
作者簡介
Dr Saurav Mallik is a Research Scientist in the Department of Pharmacology and Toxicology, The University of Arizona, USA. Prior to this, he was a Postdoctoral Fellow in the Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, USA (2019-2022), the Center of Precision Health, Department of School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA (2018-2019), and in the Division of Bio-statistics, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA (2017-2018).
He obtained a PhD degree in the Department of Computer Science & Engineering (CSE) from Jadavpur University, Kolkata, India in 2017 while his PhD works carried out in Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata, India. He worked previously at ISI, Kolkata, India as a Junior Research Fellow (JRF) in DST (Department of Science & Technology, New Delhi, Government of India) sponsored project and as a Visiting Scientist during 2011-2013 & 2015-2016. He also worked in the Department of Computer Science & Engineering, Jadavpur University, Kolkata, India as a University Grant Commission, Government of India, Research Fellow during 2014-2015 & 2016-2017. He is the recipient of Research Associateship from Council of Scientific and Industrial Research, MHRD, Government of India in 2017. He is also recipient of "Emerging Researcher In Bioinformatics" award from Bioclues & BIRD Award steering committee, India (http: //bioclues.org/) in the year 2020 and "Young scientist award" on "International Scientist Awards on Engineering, Science and Medicine" (ISAO 2021) in the year 2021. He received two times Travel Grant Award for International Conference on Intelligent Biology and Medicine (ICIBM), at Los Angeles, California, USA (2018) and at Philadelphia, PA, USA (2021).
Dr Mallik has coauthored more than 190 research papers (cited by >2,000 times, h-index = 24) in various peer-reviewed International Journals, Conferences and Book Chapters. He also has an edited book publication in Chapman and Hall/CRC, Routledge, Taylor & Francis Group. He attended many national and international conferences in USA and India. He is currently an active member of Institute of Electrical and Electronics Engineers (IEEE), American Association for Cancer Research (AACR), and Association for Computing Machinery (ACM), USA and life member of BIOCLUES, India (http: //bioclues.org/). He is editors of many journals like Frontiers in Genetics, BMC Bioinformatics, Frontiers in Bioinformatics, Archives of Medical Sciences, Mathematics (MDPI), Electronics (MDPI), Bioengineered (Taylor & Francis), Artificial Intelligence with Applications, Genetics and Molecular Medicine and many more. He is also member of international advisory committee of many reputed engineering colleges in India. His research areas include Data mining, computational biology, bioinformatics, Bio-statistics and machine learning.
Website: https: //sites.google.com/site/chasauravmallik786/?pli=1; https: //scholar.harvard.edu/saurav-mallik/bio
Prof. Zhongming Zhao, PhD, MS is a professor at McWilliams School of Biomedical Informatics at UTHealth Houston, formerly UTHealth Houston School of Biomedical Informatics (SBMI) and appointed as the Chair for Precision Health. He is the founding director of the Center for Precision Health, which is a joint venture between McWilliams School of Biomedical Informatics and the UTHealth School of Public Health. Before coming to UTHealth, Zhao was a tenured professor in the Departments of Biomedical Informatics, Psychiatry and Cancer Biology at Vanderbilt University School of Medicine and held Ingram Professorship of Cancer Research. He also served as the chief bioinformatics officer of the Vanderbilt-Ingram Cancer Center (VICC), the director of the VICC Bioinformatics Resource Center, director of the Bioinformatics and Systems Medicine Laboratory and the associate director of the Vanderbilt Center for Quantitative Sciences. Zhao is a member of numerous organizations including the American Medical Informatics Association (AMIA), the Institute of Electrical and Electronics Engineers (IEEE) and the American Society of Human Genetics (ASHG). He has more than 24 years of bioinformatics, genomics, machine learning/AI, and pharmacogenomics research experience, collaborated with more than 100 investigators, and has authored/co-authored more than 450 papers (cited by >21,000 times, h-index = 75). His work has been supported by more than 50 funded grants totaling more than $100 million. Dr. Zhao was elected as a fellow in the American College of Medical Informatics (ACMI), the American Medical Informatics Association (FAMIA), and the American Institute for Medical and Biological Engineering (AIMBE).
Website: Zhongming Zhao - Faculty & Staff - McWilliams School of Biomedical Informatics at UTHealth Houston
Dr Nanda Dulal Jana has a BSc in Mathematics (Hons), BTech and MTech in Computer Science & Engineering from University of Calcutta, India in 2001, 2004 and 2006. He received PhD from Computer Science Technology Department of IIEST Shibpur, India in 2017. He is an Assistant Professor in Computer Science & Engineering Department of National Institute of Technology Durgapur. He has authored/co-authored more than 50 technical articles in journals and conferences. Dr Jana's key research interests include Metaheuristic Optimization Techniques, Evolutionary Machine Learning, Deep Learning and their applications to Protein Structure Prediction, Computer Aided Drug Design, Image Classifications, EEG Signal Classifications and Speech Synthesis.
Website: https: //scholar.google.com/citations?user=69EVBBsAAAAJ&hl=tl
Dr Prabhu Jayagopal received his Bachelor's degree in Information Technology from the University of Madras Under Vellore Engineering College, Vellore, India (2004), the master's degree in Computer science and engineering from Sathyabama University, Chennai, India (2007), and the PhD degree in Computer Science and Engineering from Sathyabama University, Chennai, India (2015). He is having an Academic experience of above 15 years. Now he is currently working as an Associate Professor senior in School of Information Technology and Engineering, Vellore Institute of Technology, Vellore from 2009 to till date, He has published more than 65 papers in National, International journals and conferences. He is also involved in collaborative research projects with various national and international level organizations and research institutions. His Research interests are software testing, Machine Learning, IoT, Deep Learning, Block Chain and Big data.
Website: https: //betativ.irins.org/profile/190606#personal_information_panel
https: //scholar.google.com/citations?user=6-4F8SsAAAAJ&hl=en
Dr Tapas Si received the B.Tech. degree in computer science and engineering from Maulana Abul Kalam Azad University (formerly West Bengal University of Technology), and the M. Tech. degree in information technology and the Ph.D. degree in engineering from the National Institute of Technology Durgapur, West Bengal, India. He is currently a Professor at the Department of Computer Science and Engineering, University of Engineering and Management, Jaipur, Rajasthan, India. He has published 80 papers in reputed international journals/conferences. His research interests include machine learning, swarm intelligence, medical image processing, and medical data mining. He is a member of the Institute of Engineers, India; the Soft Computing Research Society; and the Machine Intelligence Research Laboratories, USA. He serves as a reviewer for Springer, Elsevier, and IEEE journals. He is listed in Who's Who in the World, in 2016 and 2020, and Marquis's Who's Who in the USA.
Website: https: //scholar.google.co.in/citations?hl=en&user=c3p37lQAAAAJ&view_op=list_works&sortby=pubdate
Dr Sandeep Kumar Mathivanan is working as Assistant Professor in the School of Computer Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India. He received his M.S degree in Software engineering from the Vellore Institute of Technology (VIT), Vellore, India, in 2016, and the M. Tech (By Research) degree from Vellore Institute of Technology (VIT), Vellore, India, in 2020 and Ph. D degree in School of Information technology and Engineering from Vellore Institute of Technology (VIT), Vellore, India, in 2023. He has more than 7 years of research experience and 1.5 years of teaching experience. He has published more than 50+ papers in international journals and conferences. He is also involved in collaborative research projects with various national and international level organizations and research institutions. He is reviewer in many reputed journal like Heliyon, Multimedia tools, Soft computing, Transactions on Consumer Electronics, Optical and Quantum Electronics International journal of end-user computing and development, International journal of speech technology, International journal of system assurance engineering and management, Network modeling analysis in health informatics and bioinformatics, Progress in artificial intelligence, Computers in Biology and Medicine Computers and Electrical Engineering and Wireless personal communications. His current research interests include Machine Learning, Deep Learning, Remote sensing, big data.
Website: https: //scholar.google.com/citations?user=36CgiLkAAAAJ&hl=en
作者簡介(中文翻譯)
Dr. Saurav Mallik 是美國亞利桑那大學藥理學與毒理學系的研究科學家。在此之前，他曾於美國波士頓哈佛大學T.H. Chan公共衛生學院環境健康系擔任博士後研究員（2019-2022），以及美國德克薩斯州休士頓德克薩斯大學健康科學中心生物醫學資訊學院精準健康中心（2018-2019），還有美國佛羅里達州邁阿密邁阿密大學米勒醫學院公共衛生科學系生物統計學部（2017-2018）工作。
他於2017年在印度加爾各答的賈達布珀大學計算機科學與工程系（CSE）獲得博士學位，博士研究在印度統計學研究所（ISI）機器智能單位進行。他曾在印度加爾各答的ISI擔任DST（印度政府科學與技術部）贊助項目的初級研究員（JRF），並於2011-2013年及2015-2016年擔任訪問科學家。他還在印度加爾各答的賈達布珀大學計算機科學與工程系擔任印度政府大學資助委員會的研究員（2014-2015及2016-2017）。他於2017年獲得印度科學與工業研究委員會（CSIR）MHRD的研究助理獎。他還於2020年獲得「生物資訊學新興研究者」獎，該獎由Bioclues及BIRD獎指導委員會頒發（http://bioclues.org），並於2021年獲得「國際科學家工程、科學與醫學獎」（ISAO 2021）的青年科學家獎。他曾兩次獲得國際智能生物學與醫學會議（ICIBM）的旅行獎，分別在美國加州洛杉磯（2018）和賓夕法尼亞州費城（2021）舉行。
Dr. Mallik已共同撰寫超過190篇研究論文（被引用超過2000次，h-index = 24），發表於各種同行評審的國際期刊、會議及書籍章節。他還在Chapman and Hall/CRC、Routledge、Taylor & Francis Group出版了一本編輯書籍。他參加了許多在美國和印度舉行的國內外會議。他目前是美國電氣與電子工程師學會（IEEE）、美國癌症研究協會（AACR）及計算機協會（ACM）的活躍成員，並且是BIOCLUES的終身會員，印度（http://bioclues.org/）。他擔任多本期刊的編輯，如Frontiers in Genetics、BMC Bioinformatics、Frontiers in Bioinformatics、Archives of Medical Sciences、Mathematics (MDPI)、Electronics (MDPI)、Bioengineered (Taylor & Francis)、Artificial Intelligence with Applications、Genetics and Molecular Medicine等。他還是印度多所知名工程學院的國際諮詢委員會成員。他的研究領域包括數據挖掘、計算生物學、生物資訊學、生物統計學及機器學習。
網站： https://sites.google.com/site/chasauravmallik786/?pli=1; https://scholar.harvard.edu/saurav-mallik/bio
Prof. Zhongming Zhao，博士，碩士，是德克薩斯健康科學中心McWilliams生物醫學資訊學院的教授，曾任德克薩斯健康科學中心生物醫學資訊學院（SBMI）的精準健康系主任。他是精準健康中心的創始主任，該中心是McWilliams生物醫學資訊學院與德克薩斯健康科學中心公共衛生學院的合資企業。在來到德克薩斯健康科學中心之前，Zhao是范德堡大學醫學院生物醫學資訊、精神病學及癌症生物學系的終身教授，並擔任癌症研究的Ingram教授。他還擔任范德堡-英格拉姆癌症中心（VICC）的首席生物資訊官、VICC生物資訊資源中心主任、生物資訊與系統醫學實驗室主任及范德堡定量科學中心的副主任。Zhao是美國醫學資訊協會（AMIA）、美國電氣與電子工程師學會（IEEE）及美國人類遺傳學會（ASHG）等多個組織的成員。他擁有超過24年的生物資訊學、基因組學、機器學習/人工智慧及藥物基因組學研究經驗，與超過100位研究者合作，並已發表/共同發表超過450篇論文（被引用超過21000次，h-index = 75）。他的工作得到了超過50項資助總額超過1億美元的資助。Dr. Zhao被選為美國醫學資訊學院（ACMI）、美國醫學資訊協會（FAMIA）及美國醫學與生物工程學會（AIMBE）的院士。
網站：Zhongming Zhao - Faculty & Staff - McWilliams School of Biomedical Informatics at UTHealth Houston
Dr. Nanda Dulal Jana於2001年、2004年及2006年分別獲得印度加爾各答大學數學（榮譽）、計算機科學與工程的學士及碩士學位。他於2017年在印度IIEST Shibpur的計算機科學技術系獲得博士學位。他是國立技術學院杜爾卡普爾計算機科學與工程系的助理教授。他已在期刊和會議上發表/共同發表超過50篇技術文章。Dr. Jana的主要研究興趣包括元啟發式優化技術、進化機器學習、深度學習及其在蛋白質結構預測、計算輔助藥物設計、圖像分類、腦電圖信號分類及語音合成中的應用。
網站：https://scholar.google.com/citations?user=69EVBBsAAAAJ&hl=tl
Dr. Prabhu Jayagopal於2004年獲得印度維洛爾工程學院（Vellore Engineering College）馬德拉斯大學的信息技術學士學位，於2007年獲得印度薩提亞巴馬大學計算機科學與工程碩士學位，並於2015年獲得該校的計算機科學與工程博士學位。他擁有超過15年的學術經驗。目前，他在維洛爾技術學院信息技術與工程學院擔任高級副教授，自2009年至今。他已在國內外期刊和會議上發表超過65篇論文。他還參與與各種國內外組織和研究機構的合作研究項目。他的研究興趣包括軟體測試、機器學習、物聯網、深度學習、區塊鏈及大數據。
網站：https://betativ.irins.org/profile/190606#personal_information_panel
https://scholar.google.com/citations?user=6-4F8SsAAAAJ&hl=en
Dr. Tapas Si於印度西孟加拉邦的Maulana Abul Kalam Azad大學（前西孟加拉技術大學）獲得計算機科學與工程的B.Tech學位，並在國立技術學院杜爾卡普爾獲得信息技術的M.Tech學位及工程的博士學位。他目前是印度賈伊普工程與管理大學計算機科學與工程系的教授。他在知名國際期刊/會議上發表了80篇論文。他的研究興趣包括機器學習、群體智慧、醫學影像處理及醫學數據挖掘。他是印度工程師學會、軟計算研究學會及美國機器智能研究實驗室的成員。他擔任Springer、Elsevier及IEEE期刊的審稿人。他在2016年和2020年被列入《世界名人錄》，並在美國的Marquis《世界名人錄》中登載。
網站： https://scholar.google.co.in/citations?hl=en&user=c3p37lQAAAAJ&view_op=list_works&sortby=pubdate
Dr. Sandeep Kumar Mathivanan在印度大諾伊達的Galgotias大學計算機科學與工程學院擔任助理教授。他於2016年在維洛爾技術學院（VIT）獲得軟體工程碩士學位，於2020年獲得維洛爾技術學院（VIT）研究型碩士學位，並於2023年在維洛爾技術學院（VIT）信息技術與工程學院獲得博士學位。他擁有超過7年的研究經驗和1.5年的教學經驗。他已在國際期刊和會議上發表超過50篇論文。他還參與與各種國內外組織和研究機構的合作研究項目。他是多本知名期刊的審稿人，如Heliyon、Multimedia tools、Soft computing、Transactions on Consumer Electronics、Optical and Quantum Electronics、International journal of end-user computing and development、International journal of speech technology、International journal of system assurance engineering and management、Network modeling analysis in health informatics and bioinformatics、Progress in artificial intelligence、Computers in Biology and Medicine、Computers and Electrical Engineering及Wireless personal communications。他目前的研究興趣包括機器學習、深度學習、遙感及大數據。
網站： https://scholar.google.com/citations?user=36CgiLkAAAAJ&hl=en
