Prof. Kwei-Jay Lin, University of California, Irvine
Building Smart Homes and Buildings using Service-Oriented Things
With the advance of sensing, actuation and wearable technology, Internet of Things (IoT) has become the next IT research focus. Many IT companies have started to invest heavily into this area by developing and inventing innovative 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 teams due to a significant customization effort on sensors, embedded software, cyber-physical integration, and cloud service support.
Kwei-Jay Lin is a Professor at the University of California, Irvine. He was an Associate Professor at the University of Illinois, Urbana-Champaign 1985-1993. He is an Adjunct Professor at the National Taiwan University and National Tsinghua University, Taiwan; Zhejiang University, China; and 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.
Dr Hamid R. Motahari Nezhad, IBM Almaden Research Center, CA, USA
From Services to Cogs, and the Journey to Cognitive BPM
Services, APIs and (Mobile) Apps have become de facto approach for offering and consuming functionality Web and mobile devices. The technology paradigms for interaction and interfaces between services/apps and human-services/apps, though, have consistently been evolved and transformed to a degree that have created fundamental shifts in how services and apps are defined and consumed. A major technology shift has been created by the advent of cognitive computing, enabled by advances in artificial intelligence, machine learning and natural language processing, and the rise of cognitive assistants (cogs). In this talk, I discuss how advances in cognitive computing and messaging paradigms are impacting the offering and usage of Services and APIs for offering of cogs. Then, will continue by arguing that cognitive computing is enabling learning, automation and codification of a large spectrum of business processes in the enterprise that has defined automation so far. I present Cognitive BPM as a new paradigm for cognitively-enabled and assisted definition, execution and continuous improvement of process-based service systems.
Dr Hamid R. Motahari Nezhad is a Research Group Lead for Cognitive Services at IBM Almaden Research Center, San Jose, California, and a Member of IBM Academy of Technology, a selective community of technology leaders in IBM. Hamid's research interests include services and cloud computing, cognitive computing, big data analytics, and business process management. Hamid holds also a Principal Visiting Research Fellow position in Service Oriented Computing Group, at School of Computing Science and Engineering, at University of New South Wales, Australia, where he is co-supervising graduate students. Hamid's research work has been widely published in conferences such as WWW, ICDE, BPM, ER, ICWS, SCC, CAiSE, WISE, EDOC, and ICSOC and journals such as IEEE TKDE, VLDBJ, DAPD, IEEE Trans. on Services Computing, IEEE Computer and Internet Computing. Hamid has served as PC Chair and Industrial Track Chair of a number of international conferences including BPM'2015, EDOC'2013, ICSOC'2011, and ECOWS'2010. Hamid is a senior member of IEEE, and a member of Strategy Council of ISSIP (International Society of Service Innovation Professionals), and Co-Chair of Service Science and Engineering PIC (Professional Interest Community) at IBM Research.