Intelligent Systems for Sustainable Industrial Infrastructure: Proceedings of the 4th International Conference on Intelligent Systems and Applications
暫譯: 可持續工業基礎設施的智能系統：第四屆智能系統與應用國際會議論文集

Anand J Kulkarni holds a PhD in Artificial Intelligence (AI) based Distributed Optimization from Nanyang Technological University, Singapore, MS in AI from University of Regina, Canada. He worked as Postdoctoral Research Fellow at Odette School of Business, University of Windsor, Canada. Since 2021, he is working as Research Professor and Associate Director of the Institute of Artificial Intelligence at the MITWPU, Pune, India. His research interests include AI based Nature Inspired optimization algorithms, and self-organizing systems. Anand pioneered optimization methodologies such as cohort intelligence, ideology algorithm, expectation algorithm, socio evolution & learning optimization algorithm leader-advocate-believer based algorithm and snail homing & mating search algorithm. Dr. Anand has published over 120 research papers in peer-reviewed reputed journals, chapters and conferences along with 7 authored and 15 edited books. He has guided 6 doctoral, 10 master's and over 60 UG students. Dr. Anand is the lead series editor for several reputed publishers. He is the recipient of the best paper award in IEEE ICNSC, Chicago, USA and 'Swatantryveer Savarakar Award' 2023 by 'Pune Marathi Granthalay', Pune for his Marathi book entitled 'Artificial Intelligencechya Watewar'.

Apoorva S Shastri holds a PhD in Optimization Algorithms and Applications from Symbiosis International (Deemed University), Master of Technology (M.Tech) in VLSI Design and Bachelor of Engineering in Electronics & Product Design Technology from R.T.M.N.U, Nagpur. She has also done a Diploma from the Govt. Polytechnic, Nagpur. She worked as a guest faculty at Centre for Development of Advanced Computing (C-DAC), Pune. Currently, she is a Research Assistant Professor at Institute of Artificial Intelligence at the MITWPU, Pune, India. Her research interests include optimization algorithms, VLSI design, multi-objective optimization, continuous, discrete, and combinatorial optimization, complex systems, manufacturing, and self-organizing systems. Dr. Apoorva developed socio-inspired optimization methodologies such as multi-cohort intelligence algorithm, expectation algorithm and LAB algorithm, and snail homing and mating search algorithm. Dr. Apoorva has published several research papers in peer reviewed journals, chapters, and conferences along with 1 authored and 5 edited books.

Hossein Bonakdari is an Associate Professor of Civil Engineering at the University of Ottawa, specializing in AI-driven hydrology, hydraulics, wildfire/flood modeling, and climate resilience. He has published over 310 papers and authored four books. Dr. Bonakdari develops advanced algorithms to extract insights from big datasets. His innovative work addresses pressing environmental challenges, including floods, droughts, and wildfires, while making significant contributions to both national and international research communities.

Anand J Kulkarni 擁有新加坡南洋理工大學的人工智慧（AI）基礎分散優化博士學位，以及加拿大雷吉納大學的人工智慧碩士學位。他曾在加拿大溫莎大學的奧德特商學院擔任博士後研究員。自2021年以來，他在印度浦那的MITWPU人工智慧研究所擔任研究教授及副所長。他的研究興趣包括基於人工智慧的自然啟發優化演算法和自組織系統。Anand 開創了多種優化方法論，如群體智慧、意識形態演算法、期望演算法、社會進化與學習優化演算法（領導者-倡導者-信仰者基礎演算法）以及蝸牛回家與交配搜尋演算法。Anand 博士在同行評審的知名期刊、章節和會議上發表了超過120篇研究論文，並著有7本書和編輯15本書。他指導了6位博士生、10位碩士生和超過60位本科生。Anand 博士是多家知名出版社的系列主編。他曾獲得美國芝加哥IEEE ICNSC最佳論文獎，以及2023年由浦那馬拉地文學會頒發的「Swatantryveer Savarakar Award」，以表彰他所著的馬拉地書籍《Artificial Intelligencechya Watewar》。

Apoorva S Shastri 擁有來自國際共生大學（被認定大學）的優化演算法與應用博士學位，並擁有來自R.T.M.N.U，納格浦的VLSI設計碩士（M.Tech）學位和電子產品設計技術學士學位。她還在納格浦的政府理工學院獲得了文憑。她曾在浦那的先進計算發展中心（C-DAC）擔任客座教師。目前，她是印度浦那MITWPU人工智慧研究所的研究助理教授。她的研究興趣包括優化演算法、VLSI設計、多目標優化、連續、離散和組合優化、複雜系統、製造和自組織系統。Apoorva 博士開發了社會啟發的優化方法論，如多群體智慧演算法、期望演算法和LAB演算法，以及蝸牛回家和交配搜尋演算法。Apoorva 博士在同行評審的期刊、章節和會議上發表了多篇研究論文，並著有1本書和編輯5本書。

Hossein Bonakdari 是渥太華大學土木工程的副教授，專注於人工智慧驅動的水文學、水力學、野火/洪水建模和氣候韌性。他發表了超過310篇論文並著有四本書。Bonakdari 博士開發先進的演算法以從大型數據集中提取見解。他的創新工作針對迫切的環境挑戰，包括洪水、乾旱和野火，並對國內外研究社群做出了重要貢獻。