Activity Recognition and Prediction for Smart Iot Environments

本書提供了活動識別和預測的最新發展，特別關注物聯網。書中涵蓋了活動預測的先進研究和最新技術，以及其在不同物聯網相關情境中的實際應用，範圍從工業到科學、從商業到日常生活、從教育到政府等。提出了新的演算法、架構和方法論，以及針對現有挑戰的解決方案，重點關注安全性、隱私和安全。本書對研究人員、學者、專業人士和學生均具有重要意義。

Dr. Michele Ianni is an Assistant Professor at the Department of Computer Science, Modeling, Electronic and System Engineering (DIMES) of the University of Calabria, Italy. He received the Ph.D. degree in Information and Communication Technologies from the University of Calabria, Italy, in 2018. During his Ph.D. he was a visiting researcher in SecLab, University of California, Santa Barbara. Previously, He was a Postdoctoral Researcher at the University of Calabria, Italy and at the University of Verona, Italy. In 2023, he was a visiting professor at the Instituto Superior Técnico of the University of Lisbon, Portugal. His main research interests include Binary Analysis and Exploitation, Obfuscation, Watermarking, Malware, Trusted Execution Environments and IoT Security.

Antonella Guzzo is an associate professor of Computer Engineering at the DIMES Department, University of Calabria, Italy. Previously, she was a research fellow in the High Performance Computing and Networks Institute (ICAR-CNR), National Research Council, Italy. She is member of the Ph. D. board in ICT at University of Calabria and IEEE member. Her research interests include process mining, data mining, artificial intelligence and deep learning. She authored more than 75 papers in top international journals and conferences. She serves as reviewer for over 20 international journals and as Program Committee (PC) member in many international conferences and workshops.

Raffaele Gravina received a PhD degree in Computer and Systems Engineering from the University of Calabria, Italy, respectively in 2012. Between 2008 and 2010 he was employed as researcher at the Wireless Sensor Networks Lab in Berkeley, California. Since 2022, he is Associate Professor of Computer Engineering at theDepartment of Informatics, Modeling, Electronics, and Systems Engineering of the University of Calabria. He is a young foreign visiting scientist at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His research activities include high-level programming methodologies and frameworks for wearable computing systems, pattern recognition and machine learning algorithms on physiological signals, human activity recognition, emotion detection, and Internet-of-Things. He has authored more than 100 indexed international publications and he has been involved in national and international research projects with various roles, including Principal Investigator.

Hassan Ghasemzadeh is an associate professor of biomedical informatics in the College of Health Solutions and a graduate faculty within the computer science, computer engineering, and biomedical engineering programs at Arizona State University (ASU). He is also an adjunct faculty of computer science at Washington State University (WSU). Prior to joining ASU, he was an assistant/associate professor of computer science at WSU (2014-2021) and a postdoctoral research manager at the University of California Los Angeles (2011-2013). His research interests include mobile health, machine learning and algorithm design.

Prof. Zhelong Wang received his B.Sc. and M.Sc. degrees in automatic control from Dalian University of Technology, Dalian, China, in 1996 and 1999, respectively, and the Ph.D. degree in robotics from University of Durham, U.K. in 2003. In 2004, he joined School of Electronic and Information Engineering, Dalian University of Technology, where he is currently a Professor, a Ph.D. supervisor and the head of Lab of Intelligent System, DUT. He was a visiting scholar at Stanford University, USA, in 2013. His research interests include body sensor networks, human-machine interaction, wearable intelligent system and robotics.

米凱勒·伊安尼博士是義大利卡拉布里亞大學計算機科學、建模、電子與系統工程系（DIMES）的助理教授。他於2018年獲得義大利卡拉布里亞大學資訊與通信技術的博士學位。在攻讀博士學位期間，他曾在加州大學聖巴巴拉分校的SecLab擔任訪問研究員。之前，他曾在義大利卡拉布里亞大學和義大利維羅納大學擔任博士後研究員。2023年，他在葡萄牙里斯本大學的高等技術學院擔任訪問教授。他的主要研究興趣包括二進位分析與利用、混淆技術、水印技術、惡意軟體、受信執行環境及物聯網安全。

安東內拉·古佐是義大利卡拉布里亞大學DIMES系的計算機工程副教授。之前，她曾在義大利國家研究委員會的高效能計算與網路研究所（ICAR-CNR）擔任研究員。她是卡拉布里亞大學資訊與通信技術博士學位委員會的成員，也是IEEE會員。她的研究興趣包括流程挖掘、數據挖掘、人工智慧和深度學習。她在頂尖國際期刊和會議上發表了超過75篇論文，並擔任超過20本國際期刊的審稿人，以及多個國際會議和研討會的程序委員會成員。

拉法埃爾·格拉維納於2012年在義大利卡拉布里亞大學獲得計算機與系統工程的博士學位。2008年至2010年間，他在加州伯克利的無線感測網路實驗室擔任研究員。自2022年起，他成為義大利卡拉布里亞大學資訊、建模、電子與系統工程系的副教授。他是中國科學院深圳先進技術研究院的年輕外籍訪問科學家。他的研究活動包括可穿戴計算系統的高階程式設計方法與框架、生理信號的模式識別與機器學習演算法、人類活動識別、情感檢測及物聯網。他已發表超過100篇國際期刊論文，並參與多個國內外研究計畫，擔任各種角色，包括首席研究員。

哈桑·哈賽姆扎德是亞利桑那州立大學（ASU）健康解決方案學院的生物醫學資訊副教授，並在計算機科學、計算機工程和生物醫學工程研究生課程中擔任教員。他同時也是華盛頓州立大學（WSU）計算機科學的兼任教員。在加入ASU之前，他曾在WSU擔任計算機科學的助理/副教授（2014-2021），以及在加州大學洛杉磯分校擔任博士後研究經理（2011-2013）。他的研究興趣包括移動健康、機器學習和演算法設計。

王哲龍教授於1996年和1999年分別在中國大連理工大學獲得自動控制的學士和碩士學位，並於2003年在英國達勒姆大學獲得機器人學的博士學位。2004年，他加入大連理工大學電子與信息工程學院，目前擔任教授、博士生導師及智能系統實驗室主任。他於2013年曾在美國史丹佛大學擔任訪問學者。他的研究興趣包括身體感測網路、人機互動、可穿戴智能系統及機器人技術。