Next-Generation Networks and Deployable Artificial Intelligence: Proceedings of Ngndai 2025, Volume 3
暫譯: 下一代網路與可部署人工智慧：Ngndai 2025 會議論文集，第三卷

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. Abhinav Kumar works as Assistant Professor in the Department of Computer Science and Engineering at Motilal Nehru National Institute of Technology Allahabad (MNNIT Allahabad), India. Prior to joining MNNIT Allahabad, he worked as Assistant Professor at the Indian Institute of Information Technology Surat (IIIT Surat), Gujarat, India, and Siksha O Anusandhan, Bhubaneswar, Odisha, India. He has obtained a Ph.D. degree in computer science and engineering from the Department of Computer Science and Engineering of the National Institute of Technology Patna, India. His research interests include machine learning, deep learning, crisis informatics, natural language processing, and social networks.

Prof. Ponnuthurai Nagaratnam Suganthan currently serves a Professor at the Department of Computer Science and Engineering, Qatar University, having joined in 2022 after a long-standing tenure as Associate Professor at Nanyang Technological University (NTU), Singapore. Originally from Tellippalai, Jaffna, Sri Lanka, he excelled academically at Union College, earning a full scholarship and later completing his B.A., postgraduate certificate, and M.A. in electrical and information engineering at the University of Cambridge during the early 1990s. He received his Ph.D. from NTU in 1995 before embarking on research roles at the University of Sydney (1995-96) and the University of Queensland (1996-99), leading to his long-standing faculty position at NTU. Prof. Suganthan is IEEE Fellow (2015), recognized for his significant contributions to optimization through evolutionary and swarm algorithms, and has consistently been ranked among Thomson Reuters Highly Cited Researchers in Computer Science from 2015 to 2022.

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（support vector machines）、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年、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，隨後在享有盛譽的印度理工學院（IIT）卡拉格普爾獲得碩士學位，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。

阿賓納夫·庫馬爾博士是印度阿拉哈巴德莫蒂拉爾·尼赫魯國立技術學院（MNNIT阿拉哈巴德）計算機科學與工程系的助理教授。在加入MNNIT阿拉哈巴德之前，他曾在印度古吉拉特邦的印度信息技術學院蘇拉特（IIIT Surat）和奧里薩邦的Siksha O Anusandhan工作，擔任助理教授。他在印度巴特那國立技術學院的計算機科學與工程系獲得博士學位。他的研究興趣包括機器學習、深度學習、危機信息學、自然語言處理和社交網絡。

波努圖賴·納加拉坦姆·蘇甘坦教授目前在卡塔爾大學的計算機科學與工程系擔任教授，於2022年加入該校，之前在新加坡南洋理工大學（NTU）擔任副教授。他來自斯里蘭卡的賈夫納特利帕萊，曾在聯合學院學業優異，獲得全額獎學金，並於1990年代初在劍橋大學完成電氣與信息工程的學士學位、研究生證書和碩士學位。他於1995年在NTU獲得博士學位，隨後在悉尼大學（1995-96）和昆士蘭大學（1996-99）擔任研究職位，最終在NTU長期任教。蘇甘坦教授是IEEE Fellow（2015），因其在通過進化和群體算法進行優化方面的重大貢獻而受到認可，並在2015年至2022年間持續被評為湯森路透計算機科學領域的高被引研究者。