2016年12月30日，加州大學(xué)爾灣分校教授、IEEE Fellow林桂杰應(yīng)邀訪問實(shí)驗(yàn)室，并在學(xué)院做了題為“Building Smart Homes and Buildings using Internet of Things”的學(xué)術(shù)報(bào)告。

學(xué)術(shù)報(bào)告簡(jiǎn)介:

With the advance of sensing, actuation and wearable technology, Internet of Things (IoT) has become the next IT market focus. Many leading companies have started to invest into this area by developing and inventing advanced IoT products. However, due to the diversity of embedded devices, application domains, and networking requirements, building IoT applications requires a stiff learning curve for most people due to a significant customization effort on sensors, embedded software, cyber-physical connection, and backend service support.

We have developed a flexible IoT platform and middleware, called WuKong, to simplify the development of new IoT applications. The WuKong middleware supports the flow-based programming (FBP) paradigm for users to easily define data and control workflows among virtual, conceptual sensing classes. Users can also specify simple execution policies on when, where and how an FBP should run in a user’s environment. The WuKong middleware can intelligently decide how to deploy an IoT application by mapping an FBP to physical devices in order to meet the functionality requirements. We have recently built smart building applications using “evacuation sensors” that can guide people to find safe exit paths when fires are detected in a building. Algorithms and techniques can be integrated for real time detection of fire events and situations. Combined with data analytics, evacuation sensing can make predictions on dangerous areas for people to avoid. In this talk, the issues, techniques and challenges for evacuation sensing will be discussed.

報(bào)告人簡(jiǎn)介:

Kwei-Jay Lin is a Professor at the University of California, Irvine. He received Ph.D. from the University of Maryland in 1985. He was an Associate Professor at the University of Illinois, Urbana-Champaign 1985-1993. He joined the University of California in 1993, where he is a full professor in the Department of Electrical Engineering and Computer Science in the School of Engineering, and also in the School of Information and Computer Science.

He is an Adjunct Professor at the National Taiwan University and National Tsinghua University, Taiwan; Zhejiang University, China; Nagoya Institute of Technology, Japan. He is the Chief Scientist of the NTU IoX Research Center at the National Taiwan University. He was a Visiting Research Fellow at the Academia Sinica, Taiwan in Spring 2016.

Prof. Lin is an IEEE Fellow, and Editor-In- Chief of the Springer Journal on Service-Oriented Computing and Applications (SOCA). He was the Co-Chair of the IEEE Technical Committee on Business Informatics and Systems (TCBIS) until 2012. He was an Associate Editor of IEEE Transactions on Parallel and Distributed Systems, 2002-2006, and an Associate Editor of IEEE Transactions on Computers, 1996-2000. He served as the External Examiner for the Hong Kong University’s Master Program on E-Commerce and Internet Computing during 2006-2009.

Prof. Lin has published more than 200 papers in journals and conferences. He has served on many international conferences, recently as conference co-chairs of IEEE SOCA 2016 and CBI 2015. He was a keynote speaker in the 22nd IEEE Conference on Embedded and Real-Time Computing Systems and Applications held in Korea in August 2016, delivering a speech on “Urban Sensing: Making Smart Cities Friendly and Safe to Pedestrians”. He gave another keynote speech in the 6th IEEE Symposium on Cloud and Service Computing, held in Fiji Dec 7-10, 2016. He also received the best paper award in that conference for the paper titled “Supporting Edge Intelligence in Service-Oriented Smart IoT Applications”.

His research interest includes service-oriented systems, IoT systems, middleware and kernel, real-time computing, and distributed computing.