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作者簡介
Dr. Pradeep Singh is a National Post-Doctoral Fellow and Principal Investigator at the Machine Intelligence Lab, Department of Computer Science and Engineering at the Indian Institute of Technology Roorkee (IIT) Roorkee. His research spans Geometric Deep Learning, Neuro-symbolic AI, and Dynamical Systems, funded by the Anusandhan National Research Foundation (ANRF), Department of Science and Technology, India. His research has appeared in IEEE Transactions, Biomedical Signal Processing and Control, Computers & Geosciences, Journal of Forecasting, ECAI and ACM Multimedia, contributing to the wider dialogue in AI and dynamical-systems research. He has co-authored books such as "Deep Learning Through the Prism of Tensors", "The Geometry of Intelligence: Foundations of Transformer Networks", and "Machine Learning and Artificial Intelligence". He earned his Ph.D. (2022) and Master's degree from IIT Delhi, specializing in Symbolic Systems, and a Bachelor's degree in Data Science from IIT Madras. Dr. Singh has received several awards, including the National Board for Higher Mathematics (NBHM) Master's, Doctoral, and Post-Doctoral Fellowships awarded by the Department of Atomic Energy, India. In 2019, he was one of only two researchers nationwide to receive the Dr Shyama Prasad Mukherjee (SPM) Fellowship in Mathematics from CSIR, India.
Dr. Balasubramanian Raman (Senior Member, IEEE) is Professor (HAG) and Head of the Department of Computer Science & Engineering at the Indian Institute of Technology (IIT) Roorkee, where he also holds a joint appointment with the Mehta Family School of Data Science & AI. He served as the iHUB Divyasampark Chair Professor from 2022 to 2025. Dr. Raman earned his Ph.D. from IIT Madras (2001). His research spanning machine learning, computer vision, image/video processing, and pattern recognition--has produced more than 250 peer-reviewed publications. He has undertaken post-doctoral and visiting appointments at Rutgers University, the University of Missouri-Columbia, Osaka Metropolitan University, Curtin University, and the University of Cyberjaya. He has also supervised several Ph.D. scholars. Dr. Raman has co-authored books such as Deep Learning Through the Prism of Tensors (Springer Nature, 2024), The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning (Springer Nature, 2025), and Artificial Intelligence and Machine Learning (2025). His honours include the DST BOYSCAST Fellowship, two IIT Roorkee Outstanding Teacher Awards, the Ramkumar Prize for Outstanding Teaching and Research, and the ICPC Coach Award, which recognised his teams' top-50 finishes at the ACM ICPC World Finals.
作者簡介(中文翻譯)
Dr. Pradeep Singh 是印度理工學院魯爾基分校 (IIT Roorkee) 計算機科學與工程系的國家博士後研究員及首席研究員。他的研究範疇包括幾何深度學習 (Geometric Deep Learning)、神經符號人工智慧 (Neuro-symbolic AI) 和動態系統 (Dynamical Systems)，其研究經費由印度科學與技術部的 Anusandhan National Research Foundation (ANRF) 提供。他的研究成果已發表於 IEEE Transactions、Biomedical Signal Processing and Control、Computers & Geosciences、Journal of Forecasting、ECAI 和 ACM Multimedia，為人工智慧及動態系統研究的廣泛對話做出了貢獻。他共同撰寫的書籍包括《Deep Learning Through the Prism of Tensors》、《The Geometry of Intelligence: Foundations of Transformer Networks》和《Machine Learning and Artificial Intelligence》。他於 2022 年獲得博士學位，並在德里印度理工學院 (IIT Delhi) 獲得碩士學位，專攻符號系統 (Symbolic Systems)，以及在馬德拉斯印度理工學院 (IIT Madras) 獲得數據科學 (Data Science) 的學士學位。Dr. Singh 獲得多項獎項，包括由印度原子能部頒發的國家高等數學委員會 (NBHM) 碩士、博士及博士後獎學金。2019 年，他是全國僅有的兩位獲得 CSIR 印度 Dr Shyama Prasad Mukherjee (SPM) 數學獎學金的研究人員之一。
Dr. Balasubramanian Raman (IEEE 高級會員) 是印度理工學院魯爾基分校 (IIT Roorkee) 計算機科學與工程系的教授 (HAG) 及系主任，並與梅赫塔家庭數據科學與人工智慧學院 (Mehta Family School of Data Science & AI) 擁有聯合任職。他於 2022 年至 2025 年擔任 iHUB Divyasampark 椅教授。Dr. Raman 於 2001 年在馬德拉斯印度理工學院 (IIT Madras) 獲得博士學位。他的研究涵蓋機器學習 (machine learning)、計算機視覺 (computer vision)、影像/視頻處理 (image/video processing) 和模式識別 (pattern recognition)，已發表超過 250 篇經過同行評審的論文。他曾在羅格斯大學 (Rutgers University)、密蘇里大學哥倫比亞分校 (University of Missouri-Columbia)、大阪市立大學 (Osaka Metropolitan University)、科廷大學 (Curtin University) 和賽博雅大學 (University of Cyberjaya) 擔任博士後及訪問學者職位。他也指導過多位博士生。Dr. Raman 共同撰寫的書籍包括《Deep Learning Through the Prism of Tensors》（Springer Nature, 2024）、《The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning》（Springer Nature, 2025）和《Artificial Intelligence and Machine Learning》（2025）。他的榮譽包括 DST BOYSCAST 獎學金、兩次 IIT Roorkee 傑出教師獎、Ramkumar 傑出教學與研究獎，以及 ICPC 教練獎，該獎項表彰了他所指導的團隊在 ACM ICPC 世界總決賽中的前 50 名成績。
