Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2023): Volume 2

Saha, Apu Kumar, Sharma, Harish, Prasad, Mukesh

  • 出版商: Springer
  • 出版日期: 2024-10-29
  • 售價: $8,520
  • 貴賓價: 9.5$8,094
  • 語言: 英文
  • 頁數: 337
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031713877
  • ISBN-13: 9783031713873
  • 海外代購書籍(需單獨結帳)

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作者簡介

Dr. Apu Kumar Saha is working as a professor in the Department of Mathematics, National Institute of Technology Agartala. He completed his M.Sc. degree in Mathematics from Tripura University with gold medal and completed his PhD from National Institute of Technology Agartala. He is an active researcher for the past ten plus years. His fields of research are Population-Based Optimization Algorithms, Decision Support Systems, Fuzzy Mathematics, Topological Spaces etc. He has published over one hundred and thirty research papers in reputed international journals, two books, twenty book chapters and over sixty international conferences. Twelve candidates received PhD under his guidance and five more candidates are currently pursuing PhD under him.

Dr. Harish Sharma is an Associate professor at Rajasthan Technical University, Kota in Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University Kota, and Government Engineering College Jhalawar. He received his B.Tech and M.Tech degree in Computer Engg. from Govt. Engineering College, Kota and Rajasthan Technical University, Kota in 2003 and 2009 respectively. He obtained his Ph.D. from ABV - Indian Institute of Information Technology and Management, Gwalior, India. He is secretary and one of the founder member of Soft Computing Research Society of India. He is a life time member of Cryptology Research Society of India, ISI, Kolkata. He is an Associate Editor of "International Journal of Swarm Intelligence (IJSI)" published by Inderscience. He has also edited special issues of the many reputed journals like "Memetic Computing", "Journal of Experimental and Theoretical Artificial Intelligence", "Evolutionary Intelligence" etc. His primary area of interest is nature inspired optimization techniques. He has contributed in more than 105 papers published in various international journals and conferences.

Dr Mukesh Prasad is a Senior Lecturer at School of Computer Science in the Faculty of Engineering and IT at UTS who has made substantial contributions to the fields of machine learning, artificial intelligence and the internet of things. Mukesh's research interests include also big data, computer vision, brain computer interface, and evolutionary computation. He is working also in the evolving and increasingly important field of image processing, data analytics and edge computing, which promise to pave the way for the evolution of new applications and services in the area of healthcare, biomedical, agriculture, smart cities, education, marketing and finance. His research has appeared in numerous prestigious journals, including IEEE/ACM Transactions and conferences, he has written more than 100 research papers. Dr. Mukesh started his academic career as a lecturer with UTS in 2017 and became a core member of the University's world-leading Australian Artificial Intelligence Institute (AAII), which has a vision to develop theoretical foundations and advanced technologies for AI and to drive progress in related areas. His research is backed by industry experience, specifically in Taiwan, where he was the principal engineer (2016-17) at the Taiwan Semiconductor Manufacturing Company (TSMC). There, he developed new algorithms for image processing and pattern recognition using machine learning techniques. He was also a postdoctoral researcher leading a Big Data and computer vision team at National Chiao Tung University, Taiwan (2015). Mukesh received an M.S. degree from the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India (2009), and PhD from the Department of Computer Science, National Chiao Tung University, Taiwan (2015).

作者簡介(中文翻譯)

Dr. Apu Kumar Saha 目前在國立技術學院阿卡塔拉的數學系擔任教授。他在特里普拉大學獲得數學碩士學位並獲得金牌,隨後在國立技術學院阿卡塔拉完成博士學位。他在過去十多年中一直是活躍的研究者,研究領域包括基於人口的優化算法、決策支持系統、模糊數學、拓撲空間等。他在國際知名期刊上發表了超過一百三十篇研究論文,出版了兩本書、二十個書章以及超過六十場國際會議的論文。在他的指導下,有十二名候選人獲得博士學位,另外五名候選人目前正在他的指導下攻讀博士學位。

Dr. Harish Sharma 是拉賈斯坦技術大學科塔分校計算機科學與工程系的副教授。他曾在瓦爾德哈曼·馬哈維爾開放大學和政府工程學院工作。他於2003年和2009年分別在政府工程學院和拉賈斯坦技術大學獲得計算機工程的學士和碩士學位。他在印度果爾果的ABV印度信息技術與管理學院獲得博士學位。他是印度軟計算研究學會的秘書及創始成員之一,也是印度密碼學研究學會的終身會員。他是由Inderscience出版的《國際群體智慧期刊(IJSI)》的副編輯,並編輯過多個知名期刊的特刊,如《記憶計算》、《實驗與理論人工智慧期刊》、《進化智慧》等。他的主要研究興趣是自然啟發的優化技術,並在各種國際期刊和會議上發表了超過105篇論文。

Dr. Mukesh Prasad 是悉尼科技大學工程與資訊技術學院計算機科學學校的高級講師,對機器學習、人工智慧和物聯網領域做出了重要貢獻。Mukesh的研究興趣還包括大數據、計算機視覺、大腦計算機介面和進化計算。他也在不斷發展且日益重要的圖像處理、數據分析和邊緣計算領域工作,這些領域有望為醫療保健、生物醫學、農業、智慧城市、教育、市場營銷和金融等領域的新應用和服務的演變鋪平道路。他的研究發表在多個著名期刊上,包括IEEE/ACM期刊和會議,並撰寫了超過100篇研究論文。Mukesh於2017年開始在UTS擔任講師,並成為該大學世界領先的澳大利亞人工智慧研究所(AAII)的核心成員,該所的願景是發展人工智慧的理論基礎和先進技術,推動相關領域的進步。他的研究得到了行業經驗的支持,特別是在台灣,曾擔任台灣積體電路製造公司(TSMC)的首席工程師(2016-17),在那裡他使用機器學習技術開發了圖像處理和模式識別的新算法。他還曾在國立交通大學擔任博士後研究員,領導大數據和計算機視覺團隊(2015年)。Mukesh於2009年在印度新德里的賈瓦哈拉爾·尼赫魯大學計算機與系統科學學院獲得碩士學位,並於2015年在國立交通大學獲得博士學位。

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