Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
暫譯: 生物啟發演算法在機器學習與深度學習中的疾病檢測應用

本書深入探討生物識別技術的歷史、迄今為止所開發的各種系統、這些系統所產生的問題、基於人工智慧的生物識別系統的必要性以及各種人工智慧技術。

Dr. Balasubramaniam S (IEEE Senior Member) is working as an Assistant Professor in School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, Kerala, India. He has totally around 15+ years of experience in teaching, research and industry. He has completed his Post Doctoral Research in Department of Applied Data Science, Noroff University College, Kristiansand, Norway. He holds a Ph.D degree in Computer Science and Engineering from Anna University, Chennai, India in 2015. He has published nearly 25+ research papers in reputed SCI/WoS/Scopus indexed Journals. He has also granted with 1 Australian patent and 2 Indian Patents and published 2 Indian patents. He has presented papers at conferences, contributed chapters to the edited books and editor in few books published by international publishers. His research and publication interests include machine learning and deep learning-based disease diagnosis, cloud computing security, Generative AI and Electric Vehicles.

Prof. Seifedine Kadry has a bachelor's degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University (France). At present his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. he is a full professor of data science at Noroff University College, Norway and Department of Computer Science, Lebanese American University, Beirut, Lebanon.

Prof. Manoj Kumar T K, currently serving as Dean (Research) and Professor at Kerala University of Digital Sciences, Innovation and Technology, Thiruvananthapuram, Kerala, India. He is having 5 years of post-doctoral research experience in prestigious institutions like IIT-Madras and Pohang University of Science & Technology, Korea. With an impressive 17-year track record in post-graduate teaching, Dr Manoj has imparted knowledge across a diverse range of subjects including Data Analytics, Deep Learning, Computational Sciences, Predictive Analytics, Big data technologies and Cloud computing, Discrete mathematics, Ordinary differential Equations, Automata, Data Structure and Algorithm, Artificial Intelligence, and Quantum Chemistry. Their scholarly contributions extend to 80 publications in international journals of high impact, marking a significant impact in their respective fields. Previously, he has holding key administrative roles such as Chair of the School of Digital Sciences; Registrar, Digital University Kerala; Registrar, Indian Institute of Information Technology and Management - Kerala and Director of the International Centre for Free and Open-Source Systems, Kerala, India.

Prof. K. Satheesh Kumar presently holds the role of Visiting Professor at the Kerala University of Digital Sciences, Innovation, and Technology, Thiruvananthapuram Kerala, India. Previously, he served as Professor and Head of the Department of Futures Studies at the University of Kerala, Kerala, India. Dr. Kumar's academic journey began with a degree in mathematics, followed by doctoral research in suspension rheology and chaotic dynamics at the CSIR Lab in Thiruvananthapuram. He subsequently pursued post-doctoral research positions at Monash University, Australia, and POSTECH, South Korea. Dr. Kumar's research interests span suspension and polymer rheology, chaotic dynamics, nonlinear time series analysis, geophysics, complex network analysis, and wind energy modeling and forecasting.

Balasubramaniam S 博士（IEEE 高級會員）目前擔任印度喀拉拉邦數位科學、創新與技術大學（前身為 IIITM-K）計算機科學與工程學院的助理教授。他在教學、研究和產業方面擁有超過 15 年的經驗。他在挪威克里斯蒂安桑的 Noroff 大學學院應用數據科學系完成了博士後研究。他於 2015 年在印度金奈的安娜大學獲得計算機科學與工程的博士學位。他在知名的 SCI/WoS/Scopus 索引期刊上發表了近 25 篇研究論文。他還獲得了 1 項澳大利亞專利和 2 項印度專利，並發表了 2 項印度專利。他在會議上發表論文，為編輯書籍貢獻章節，並擔任幾本國際出版社出版的書籍的編輯。他的研究和出版興趣包括基於機器學習和深度學習的疾病診斷、雲計算安全、生成式 AI 和電動車。

Seifedine Kadry 教授於 1999 年獲得黎巴嫩大學的學士學位，2002 年獲得法國蘭斯大學和洛桑聯邦理工學院的碩士學位，2007 年獲得法國布萊茲·帕斯卡大學的博士學位，2017 年獲得法國魯昂大學的 HDR 學位。目前他的研究重點是數據科學、利用技術進行教育、系統預測、隨機系統和應用數學。他是計算機和工程技術的 ABET 課程評估員，並擔任挪威 Noroff 大學學院和黎巴嫩美國大學計算機科學系的數據科學全職教授。

Manoj Kumar T K 教授目前擔任印度喀拉拉邦數位科學、創新與技術大學的研究院院長和教授。他在 IIT-Madras 和韓國浦項科技大學等知名機構擁有 5 年的博士後研究經驗。擁有 17 年的研究生教學經驗，Manoj 博士在數據分析、深度學習、計算科學、預測分析、大數據技術和雲計算、離散數學、常微分方程、自動機、數據結構與演算法、人工智慧和量子化學等多個領域傳授知識。他的學術貢獻在高影響力的國際期刊上發表了 80 篇論文，對其各自領域產生了顯著影響。此前，他曾擔任數位科學學院院長、喀拉拉數位大學註冊主任、印度信息技術與管理學院（喀拉拉）註冊主任以及喀拉拉自由與開源系統國際中心主任等重要行政職位。

K. Satheesh Kumar 教授目前擔任印度喀拉拉邦數位科學、創新與技術大學的訪問教授。此前，他曾擔任喀拉拉大學未來研究系的教授和系主任。Kumar 博士的學術旅程始於數學學位，隨後在喀拉拉邦的 CSIR 實驗室進行懸浮流變學和混沌動力學的博士研究。他隨後在澳大利亞莫納什大學和韓國 POSTECH 擔任博士後研究職位。Kumar 博士的研究興趣涵蓋懸浮液和聚合物流變學、混沌動力學、非線性時間序列分析、地球物理學、複雜網絡分析以及風能建模和預測。