Next-Generation Networks and Deployable Artificial Intelligence: Proceedings of Ngndai 2025, Volume 1
暫譯: 下一代網路與可部署人工智慧：Ngndai 2025 會議論文集，第1卷

Dr. Deepak Gupta is Assistant Professor in the Department of Computer Science and Engineering of Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India. Previously he has worked in the Department of Computer Science and Engineering of National Institute of Technology Arunachal Pradesh. He received a Ph.D. degree in computer science and engineering from the Jawaharlal Nehru University, New Delhi, India. His research interests include support vector machines, ELM, RVFL, KRR, biomedical applications, and other machine learning techniques. He has published over 80 referred journal and conference papers of international repute. His publications have more than 2382 citations with an h-index of 28 and i10-index of 63 (Google Scholar, 01/02/2025). Recently, he has listed in the world's top 2% of scientists in a study carried out by Stanford University, USA, 2023, 2024. He is Associate Editor of the Journal of Neural Networks, Computers and Electrical Engineering, etc.

Prof. Mayank Pandey stands out as Distinguished Academic and Highly Esteemed Professor at Motilal Nehru National Institute of Technology (MNNIT), Allahabad. Renowned for his profound expertise in computer science, he has made significant contributions to research, innovation, and education, inspiring generations of students and peers. He earned his bachelor's degree in computer science engineering from GB Pant Engineering College, Pauri, Garhwal, followed by an M.Tech. from the prestigious Indian Institute of Technology (IIT) Kharagpur, and a doctorate from MNNIT Allahabad. Throughout his illustrious career, Prof. Pandey has exemplified a relentless commitment to advancing knowledge and fostering excellence in teaching, research, and innovation. One of his most notable achievements is his groundbreaking research on video analytics-based crowd management during the Kumbh Mela 2019 in Prayagraj.

Dr. Aditya Nigam received his M.Tech. and Ph.D. degrees from the Indian Institute of Technology (IIT) Kanpur in 2009 and 2014, respectively. He is currently Associate Professor at IIT Mandi, in the School of Computing and Electrical Engineering (SCEE). He joined IIT Mandi in August 2014 as Teaching Fellow and has since been deeply involved in both research and teaching. With a strong passion for teaching and mentoring, Dr. Nigam has been actively involved in delivering courses on deep learning and its applications over the last six years. His teaching approach spans from foundational concepts to advanced techniques, equipping students and researchers with the necessary skills to tackle real-world AI challenges. His research interests lie at the intersection of deep learning, biometrics, medical image analysis, image processing, computer vision, and machine learning.

Prof. Ram Bilas Pachori received the B.E. degree with honors in electronics and communication engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India, in 2001, and the M.Tech. and Ph.D. degrees in electrical engineering from IIT Kanpur, India, in 2003 and 2008, respectively. His research interests include signal and image processing, biomedical signal processing, non-stationary signal processing, speech signal processing, brain-computer interface, artificial intelligence and internet of things in healthcare, and machine learning for signal processing. He was Associate Editor of IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021-2024). Currently, he is Associate Editor of Electronics Letters, IEEE Open Journal of Engineering in Medicine and Biology, Computers and Electrical Engineering, and Biomedical Signal Processing and Control. He is also serving as Deputy Editor-in-Chief of IETE Journal of Research, Handling Editor of Signal Processing, and Editor of IETE Technical Review journal. He is Fellow of IEEE, INAE, IET, AAIA, IETE, and IEI.

德克·古普塔博士是印度阿拉哈巴德莫蒂拉爾·尼赫魯國立技術學院計算機科學與工程系的助理教授。之前，他曾在阿魯納恰爾邦國立技術學院的計算機科學與工程系工作。他在印度新德里的賈瓦哈拉爾·尼赫魯大學獲得計算機科學與工程的博士學位。他的研究興趣包括支持向量機、極限學習機（ELM）、隨機向量功能學習（RVFL）、核回歸（KRR）、生物醫學應用及其他機器學習技術。他已發表超過80篇國際知名的期刊和會議論文，引用次數超過2382次，h指數為28，i10指數為63（Google Scholar，2025年01月02日）。最近，他在美國史丹佛大學進行的一項研究中被列為全球前2%的科學家（2023、2024年）。他是《神經網絡》、《計算機與電氣工程》等期刊的副編輯。

馬揚克·潘德教授是阿拉哈巴德莫蒂拉爾·尼赫魯國立技術學院（MNNIT）的傑出學者和受人尊敬的教授。因其在計算機科學方面的深厚專業知識而聞名，他在研究、創新和教育方面做出了重大貢獻，啟發了幾代學生和同儕。他在加爾瓦爾的GB Pant工程學院獲得計算機科學工程學士學位，隨後在著名的印度理工學院（IIT）卡哈爾古爾獲得碩士學位，並在MNNIT阿拉哈巴德獲得博士學位。在他輝煌的職業生涯中，潘德教授展現了對推進知識和促進教學、研究及創新卓越的堅定承諾。他最顯著的成就之一是2019年在阿拉哈巴德的庫姆梅拉（Kumbh Mela）期間，針對基於視頻分析的人群管理進行的開創性研究。

阿迪提亞·尼甘博士於2009年和2014年分別在印度理工學院（IIT）坎普爾獲得碩士和博士學位。他目前是IIT曼迪計算與電氣工程學院（SCEE）的副教授。他於2014年8月以教學研究員身份加入IIT曼迪，並自此深度參與研究和教學。尼甘博士對教學和指導充滿熱情，過去六年來積極開設深度學習及其應用的課程。他的教學方法涵蓋從基礎概念到高級技術，幫助學生和研究人員掌握應對現實世界AI挑戰所需的技能。他的研究興趣位於深度學習、生物識別、醫學影像分析、影像處理、計算機視覺和機器學習的交叉點。

拉姆·比拉斯·帕喬里教授於2001年在印度博帕爾的拉吉夫·甘地技術大學獲得電子與通信工程的榮譽學士學位，並於2003年和2008年在印度理工學院（IIT）坎普爾獲得電氣工程的碩士和博士學位。他的研究興趣包括信號與影像處理、生物醫學信號處理、非穩態信號處理、語音信號處理、大腦-計算機介面、人工智慧與物聯網在醫療保健中的應用，以及信號處理的機器學習。他曾擔任《IEEE神經系統與康復工程期刊》的副編輯（2021-2024）。目前，他是《電子信件》、《IEEE醫學與生物工程開放期刊》、《計算機與電氣工程》和《生物醫學信號處理與控制》的副編輯。他還擔任IETE研究期刊的副主編、信號處理的處理編輯，以及IETE技術評論期刊的編輯。他是IEEE、INAE、IET、AAIA、IETE和IEI的會士。