Applications of Machine Learning in Hydroclimatology
暫譯: 機器學習在水文氣候學中的應用

Dr. Roshan Karan Srivastav is an Associate Professor in the Department of Civil and Environmental Engineering at IIT Tirupati, serving since June 2018. He holds a Ph.D. in Water Resources Management from IIT Madras, a M.Tech in Water Resources Management from Motilal Nehru National Institute of Technology, and a B.E in Civil Engineering from University College of Engineering, Osmania University. His extensive research encompasses hydro-climatology, flood forecasting, reservoir operation, and stochastic hydrology. Before his tenure at IIT Tirupati, he was a Post-Doctoral Fellow at the University of Western Ontario, focusing on weather generators, system dynamics, and integrated water resources management. Dr. Srivastav has made significant contributions to the field through numerous publications in top-tier journals and international conferences. He also serves as the Project Director for the Technology Innovation Hub at IIT Tirupati Navavishkar I-Hub Foundation (IITTNiF), where he leads initiatives in positioning and precision technologies.

Dr P. C. Nayak is Scientist F in Surface Water Hydrology Division at National Institute of Hydrology, Roorkee. Dr. Nayak hold a B. Tech in Civil Engineering from College of Engineering and Technology, Bhubaneswar and M. Tech in Water Resources Engineering from Indian Institute of Technology, Kharagpur, and Ph.D in Water Resources Engineering from Indian Institute of Technology Madras, Chennai. Dr. Nayak has more than 25 years of experience in the field of water resources, surface water hydrological modelling, flood management and application of machine learning techniques and his major research contributions include development of models and software tools for hydrologic modeling using conceptual, distributed and data driven algorithm. Soft computing has to date been the main topic of investigation, in particular exploring the potential benefits and pitfalls. He has published more than 150 research papers in journals as well as book chapters and technical reports. He was a core committee member in development of Decision Support System (DSS) funded by World Bank. He was serving as Associate Editor in Journal of Hydrology, Elsevier Sciences.

羅尚·卡蘭·斯里瓦斯塔夫博士（Dr. Roshan Karan Srivastav）是印度理工學院提魯帕提分校（IIT Tirupati）土木與環境工程系的副教授，自2018年6月以來任職。他擁有印度理工學院馬德拉斯分校（IIT Madras）水資源管理的博士學位、莫蒂拉爾·尼赫魯國立技術學院（Motilal Nehru National Institute of Technology）水資源管理的碩士學位，以及奧斯曼尼亞大學（Osmania University）工程學院的土木工程學士學位。他的廣泛研究涵蓋水文氣候學、洪水預測、水庫運行和隨機水文學。在加入IIT Tirupati之前，他曾在西安大略大學（University of Western Ontario）擔任博士後研究員，專注於氣象生成器、系統動力學和綜合水資源管理。斯里瓦斯塔夫博士通過在頂尖期刊和國際會議上發表的多篇論文，對該領域做出了重要貢獻。他還擔任IIT Tirupati Navavishkar I-Hub Foundation（IITTNiF）技術創新中心的項目主任，負責推動定位和精密技術的相關計劃。

P. C. 奈亞克博士（Dr. P. C. Nayak）是印度水文學研究所（National Institute of Hydrology）表面水文學部的F級科學家。奈亞克博士擁有布巴內斯瓦爾工程技術學院（College of Engineering and Technology, Bhubaneswar）的土木工程學士學位、印度理工學院卡哈爾古爾分校（Indian Institute of Technology, Kharagpur）的水資源工程碩士學位，以及印度理工學院馬德拉斯分校（Indian Institute of Technology Madras, Chennai）的水資源工程博士學位。奈亞克博士在水資源、表面水文模型、洪水管理及機器學習技術應用方面擁有超過25年的經驗，他的主要研究貢獻包括使用概念性、分佈式和數據驅動算法開發水文建模的模型和軟體工具。至今，軟計算一直是他研究的主要主題，特別是探索其潛在的好處和陷阱。他在期刊、書籍章節和技術報告中發表了超過150篇研究論文。他曾是世界銀行資助的決策支持系統（Decision Support System, DSS）開發的核心委員會成員，並擔任《水文學期刊》（Journal of Hydrology, Elsevier Sciences）的副編輯。