Development of a Remote Laboratory for Engineering Education
暫譯: 工程教育的遠端實驗室開發

資訊科技領域持續以快速的步伐進步，包括在教育和研究中使用遠端實驗室（Remote Laboratory, RL）系統。為了滿足此類目的的遠端實驗室開發需求，作者提出了一個最新的統一框架，用於RL系統的開發。書中包含了針對常見的RL實作問題的解決方案，例如第三方插件、穿越防火牆、跨平台運行和可擴展性等。

此外，本書介紹了一種新的遠端實驗室應用架構，旨在為行動優化的RL應用開發提供支持，以促進行動學習（Mobile Learning, M-Learning）。它還展示了如何設計和組織不同大學的遠端實驗，並提供框架源代碼。

本書旨在作為遠端實驗室系統設計和實作的完整指南，面向研究人員、實務工作者和學生，使他們能夠快速且靈活地在多個領域中實施RL系統。

Ning Wang, Ph.D., is a research scientist in an oil & gas equipment company. He received his B.S. degree in the Information Management System from China Agriculture University (CAU) in 2002, Beijing, China. He received the M.S degree in Software Science from Hong Kong Polytechnic University (HKPU) in 2008, and the M.S degree in Computer Science from Texas Southern University (TSU) in 2014. He received his Ph.D. degree in Electrical Engineering from the University of Houston (UH) in 2017. He was a Postdoctoral Research Fellow in the NSF Center for Research on Complex Network at Texas Southern University (TSU) from 2017 to 2019. He received the COSET distinguished graduate student award from Texas Southern University in 2014. He published over 23 peer reviewed journal papers, and 12 conference papers. His research interests include remote laboratory technology and remote sensing, machine learning, Internet of Things (IoT) and Wireless network technology. He is a member of IEEE.

Qianlong Lan received the B.S. degree in network engineering from Shanghai Second Polytechnic University, Shanghai, China, in 2013, and received the M.S. degree in computer science from Texas Southern University, Houston, Texas, USA, in 2016. He is currently pursuing the Ph.D. degree at the University of Houston, Houston, TX, USA. His research interest includes MRI RF safety, remote laboratory, remote control, machine learning, artificial intelligence, and big data.

Xuemin Chen received his B.S., M.S. and Ph.D. degrees in Electrical Engineering from the Nanjing University of Science and Technology (NJUST), China, in 1985, 1988 and 1991 respectively. He started his academic career at NJUST and was a faculty member of automation department from 1991 to 1998. Following this, he was postdoc fellow and then a Research Assistant Professor in the electrical and computer engineering department at the University of Houston from 1998 to 2006. He was the recipient of the Top Research Innovations and Findings Award from the Texas Department of Transportation (TxDOT) for his contribution in the project, Thickness Measurement of Reinforced Concrete Pavement by Using Ground Penetrating Radar, in 2004. He joined Texas Southern University (TSU) in 2006. Currently, he is a Professor in the engineering department at TSU. His research interests are in virtual and remote laboratory, wireless sensor networks, internet of things and structural health monitoring. He initiated the Virtual and Remote Laboratory (VR-Lab) at TSU and has served as a founding director of VR-Lab since 2008. With the support of NSF HBCU-UP, CCLI and IEECI programs, and the Qatar NPRP Cycle 4 award, he has established a state of the art VR-Lab at TSU. He is a senior member of IEEE.

Gangbing Song received his Ph.D. and MS degrees from the Department of Mechanical Engineering at Columbia University in the City of New York in 1995 and 1991, respectively. He received his B.S. degree in 1989 from Zhejiang University, China. Dr. Song is the founding Director of the Smart Materials and Structures Laboratory and a Professor of Mechanical Engineering, Civil and Environmental Engineering, and Electrical & Computer Engineering at the University of Houston (UH). Dr. Song holds the John and Rebeca Moores Professorship at UH. Dr. Song is a recipient of the NSF CAREER award in 2001. He has expertise in smart materials and structures, structural vibration control, piezoceramics, ultrasonic transducers, structural health monitoring and damage detection. He has developed two new courses in smart materials and published more than 400 papers, including 200 peer reviewed journal articles. Dr. Song is also an inventor or co-inventor of 11 US patents and 11 pending patents. He has received research funding in smart materials and related research from NSF, DoE, NASA, Department of Education, Texas Higher Education Board, TSGC (Texas Space Grant Consortium), UTMB (University of Texas Medical Branch), OSGC (Ohio Space Grant Consortium), OAI (Ohio Aerospace Institute), ODoT (Ohio Department of Transportation), HP, OptiSolar, GE, and Cameron. In addition to his research effort, Dr. Song has passion in improving teaching using technology. He received the prestigious Outstanding Technical Contribution Award from the Aerospace Division of ASCE, the Excellence in Research & Scholarship Award at Full Professor Level from UH, the Celebrating Excellence Award for Excellence in Education from ISA (International Society of Automation), the IEEE Educational Activities Board Meritorious Achievement Award in Informal Education, among others. Dr. Song is a member of ASCE, ASME, and IEEE. Dr. Song served as the General Chair of the Earth and Space Conference 2010, Aerospace Division, ASCE.

Hamid R. Parsaei, Ph.D., P.E., is an internationally recognized leader in the field of engineering education, manufacturing systems design, leadership, and economic decision making with applications to advanced manufacturing systems with more than 35 years of experience. He served as Associate Dean for Academic Affairs, Director of Academic Outreach, and Professor of Mechanical Engineering at Texas A&M University at Qatar while holds the rank of Professor in the Industrial and Systems Engineering at Texas A&M University in College Station. Dr. Parsaei also served as Professor and Chair of the Industrial Engineering at University of Houston for ten years.

Dr. Parsaei has been principal and co-principal investigator on projects funded by NSF, Qatar Foundation, the US Department of Homeland Security, NIST, NIOSH, Texas DoT, among others, with total funding in excess of $26 million. He has authored or co-authored more than 280 refereed publications in archival journals and conference proceedings. He has held several key leadership positions with the Institute of Industrial and Systems Engineers (IISE). Dr. Parsaei is also a Fellow of the Institute of Industrial and Systems Engineers (IISE), American Society for Engineering Education (ASEE), Society of Manufacturing Engineers (SME), and Industrial Engineering and Operations Management Society International (IEOM),

Dr. Parsaei is a registered professional engineer in the state of Texas.

Ning Wang，博士，是一家石油與天然氣設備公司的研究科學家。他於2002年在中國北京的中國農業大學（CAU）獲得資訊管理系的學士學位。2008年，他在香港理工大學（HKPU）獲得軟體科學的碩士學位，並於2014年在德克薩斯南方大學（TSU）獲得計算機科學的碩士學位。他於2017年在休士頓大學（UH）獲得電機工程的博士學位。2017年至2019年，他在德克薩斯南方大學（TSU）的國家科學基金會複雜網絡研究中心擔任博士後研究員。他於2014年獲得德克薩斯南方大學的COSET傑出研究生獎。他發表了超過23篇經過同行評審的期刊論文和12篇會議論文。他的研究興趣包括遠程實驗室技術和遙感、機器學習、物聯網（IoT）和無線網絡技術。他是IEEE的成員。

Qianlong Lan於2013年在中國上海第二工業大學獲得網絡工程的學士學位，並於2016年在美國德克薩斯州休士頓的德克薩斯南方大學獲得計算機科學的碩士學位。他目前正在休士頓大學攻讀博士學位。他的研究興趣包括MRI射頻安全、遠程實驗室、遠程控制、機器學習、人工智慧和大數據。

Xuemin Chen於1985年、1988年和1991年分別在中國南京理工大學（NJUST）獲得電機工程的學士、碩士和博士學位。他在南京理工大學開始了他的學術生涯，並於1991年至1998年擔任自動化系的教職員。隨後，他於1998年至2006年在休士頓大學的電機與計算機工程系擔任博士後研究員，然後成為研究助理教授。他因在2004年參與的項目「使用地面穿透雷達測量鋼筋混凝土路面的厚度」而獲得德克薩斯州交通部（TxDOT）的頂尖研究創新與發現獎。他於2006年加入德克薩斯南方大學（TSU），目前是TSU工程系的教授。他的研究興趣包括虛擬與遠程實驗室、無線感測器網絡、物聯網和結構健康監測。他在TSU創立了虛擬與遠程實驗室（VR-Lab），並自2008年以來擔任VR-Lab的創始主任。在NSF HBCU-UP、CCLI和IEECI計劃以及卡塔爾NPRP第四周期獎的支持下，他在TSU建立了一個最先進的VR-Lab。他是IEEE的高級會員。

Gangbing Song於1991年和1995年分別在哥倫比亞大學獲得機械工程的碩士和博士學位，並於1989年在中國浙江大學獲得學士學位。宋博士是智能材料與結構實驗室的創始主任，並擔任休士頓大學（UH）機械工程、土木與環境工程以及電機與計算機工程的教授。宋博士在UH擔任約翰與瑞貝卡·穆爾斯教授。他於2001年獲得NSF CAREER獎。他在智能材料與結構、結構振動控制、壓電陶瓷、超聲波傳感器、結構健康監測和損傷檢測方面具有專業知識。他開發了兩門智能材料的新課程，並發表了超過400篇論文，包括200篇經過同行評審的期刊文章。宋博士還是11項美國專利和11項待審專利的發明人或共同發明人。他從NSF、能源部、NASA、教育部、德克薩斯高等教育委員會、德克薩斯太空獎勵聯盟（TSGC）、德克薩斯大學醫學分校（UTMB）、俄亥俄太空獎勵聯盟（OSGC）、俄亥俄航空研究所（OAI）、俄亥俄州交通部（ODoT）、HP、OptiSolar、GE和Cameron等機構獲得了智能材料及相關研究的資助。除了研究工作外，宋博士對利用技術改善教學充滿熱情。他獲得了ASCE航空航天部門的傑出技術貢獻獎、UH全教授級別的研究與學術卓越獎、ISA（國際自動化學會）教育卓越慶祝獎、IEEE教育活動委員會非正式教育的卓越成就獎等多項榮譽。宋博士是ASCE、ASME和IEEE的成員。他曾擔任2010年地球與太空會議的總主席，航空航天部門，ASCE。

Hamid R. Parsaei，博士，P.E.，是工程教育、製造系統設計、領導力和經濟決策領域的國際知名領袖，擁有超過35年的經驗，專注於先進製造系統的應用。他曾擔任卡塔爾德克薩斯A&M大學的學術事務副院長、學術外展主任和機械工程教授，同時在德克薩斯A&M大學的工業與系統工程系擔任教授。Parsai博士還曾在休士頓大學擔任工業工程教授及系主任十年。

Parsai博士是多個由NSF、卡塔爾基金會、美國國土安全部、NIST、NIOSH、德克薩斯州交通部等機構資助的項目的主要或共同主要研究員，總資金超過2600萬美元。他在學術期刊和會議論文集中發表了超過280篇經過審核的出版物。他在工業與系統工程學會（IISE）擔任過多個重要領導職位。Parsai博士還是工業與系統工程學會（IISE）、美國工程教育學會（ASEE）、製造工程學會（SME）和國際工業工程與運營管理學會（IEOM）的會士。

Parsai博士是德克薩斯州的註冊專業工程師。