Intelligent Techniques for Cyber-Physical Systems
暫譯: 智慧技術於網路物理系統

這部分涵蓋了網路物理系統（Cyber-Physical Systems, CPS）的挑戰、機會和開放的研究方向。重點在於設計和開發基於機器學習/元啟發式方法及區塊鏈的技術，以應用於安全性、資源管理、計算卸載、信任管理等方面，並適用於邊緣計算、霧計算/雲端計算、物聯網（IoT）及物聯網生態系統（IoE）。

Mohammad Sajid is Assistant Professor in the Department of Computer Science at Aligarh Muslim University, India. He has completed his Ph.D., M.Tech., and MCA degrees at the School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), New Delhi. His research interests include parallel and distributed computing, cloud computing, bio-inspired computation, and combinatorial optimization problems. He has published one patent and was awarded a research start-up grant in 2017 from University Grants Commission (UGC), India.

Anil Kumar Sagar is Professor in the Department of Computer Science and Engineering at Sharda University Greater Noida, India. He completed his B.E., M.Tech., Ph.D. in Computer Science. His research interests include mobile ad hoc networks and vehicular ad hoc networks, IoT, and artificial intelligence. He has received a Young Scientist Award for the year 2018-2019 from the Computer Society of India and the Best Faculty Award for the years 2006 and 2007 from SGI, Agra.

Jagendra Singh is Associate Professor in the School of Computer Science, Engineering and Technology, Bennett University, Greater Noida. He received his Ph.D. in Computer Science from Jawaharlal Nehru University, New Delhi. His areas of interest are natural language processing (information retrieval system, recommendation system, sentiment analysis) and machine learning (deep learning, neural network, and data analytics).

Osamah Ibrahim Khalaf is Senior Assistant Professor in Engineering and Telecommunications at Al-Nahrain University/College of Information Engineering. He holds 10 years of university-level teaching experience in computer science and network technology, holds patents, and has received several medals and awards due to his innovative work and research activities. He earned his Ph.D. in Computer Networks from the Faculty of Computer Systems and Software Engineering, University of Malaysia Pahang. He has overseas work experience at Binary University in Malaysia and University of Malaysia Pahang.

Mukesh Prasad is Senior Lecturer at the School of Computer Science in the Faculty of Engineering and IT at the University of Technology Sydney. His research interests include big data, computer vision, brain-computer interface, and evolutionary computation. He is also working in the field of image processing, data analytics, and edge computing. His research is backed by industry experience, specifically in Taiwan, where he was the principal engineer (2016-2017) at the Taiwan Semiconductor Manufacturing Company (TSMC). He received a Ph.D. from the Department of Computer Science at the National Chiao Tung University in Taiwan (2015).

Mohammad Sajid 是印度阿里格爾穆斯林大學計算機科學系的助理教授。他在新德里的賈瓦哈拉爾尼赫魯大學（JNU）計算機與系統科學學院完成了他的博士、碩士（M.Tech.）和計算機應用碩士（MCA）學位。他的研究興趣包括平行與分散計算、雲計算、生物啟發計算和組合優化問題。他已經發表了一項專利，並於2017年獲得印度大學資助委員會（UGC）的研究啟動資助。

Anil Kumar Sagar 是印度大諾伊達沙爾達大學計算機科學與工程系的教授。他完成了計算機科學的學士（B.E.）、碩士（M.Tech.）和博士學位。他的研究興趣包括移動自組網和車輛自組網、物聯網（IoT）和人工智慧。他曾獲得印度計算機學會2018-2019年的青年科學家獎，以及2006年和2007年來自阿格拉SGI的最佳教師獎。

Jagendra Singh 是印度大諾伊達班奈特大學計算機科學、工程與技術學院的副教授。他在新德里的賈瓦哈拉爾尼赫魯大學獲得計算機科學博士學位。他的研究領域包括自然語言處理（資訊檢索系統、推薦系統、情感分析）和機器學習（深度學習、神經網絡和數據分析）。

Osamah Ibrahim Khalaf 是阿爾納赫萊因大學/資訊工程學院的高級助理教授。他擁有10年的大學級計算機科學和網絡技術教學經驗，持有專利，並因其創新工作和研究活動獲得多項獎勵。他在馬來西亞彭亨大學計算機系統與軟體工程學院獲得計算機網絡博士學位。他在馬來西亞的Binary University和彭亨大學擁有海外工作經驗。

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。他的研究興趣包括大數據、計算機視覺、大腦-計算機介面和進化計算。他還在影像處理、數據分析和邊緣計算領域工作。他的研究得到了行業經驗的支持，特別是在台灣，他曾擔任台灣積體電路製造公司（TSMC）的首席工程師（2016-2017）。他於2015年在台灣國立交通大學計算機科學系獲得博士學位。