Keynote Speaker #1 (3:30 PM, September 9)

Prof. Chi-Sheng Shih

Title: Trend and Challenges for Autonomous Systems

  • Abstract: Self-driving vehicle and service robots are two typical automation systems, which may autonomously behavior and operate. Using self-driving vehicles are the example. Self-driving vehicle can ease the burden of transportation for city and suburban trips, including private and public transportation. However, the speculation of driving safety remains open. Due to the limits of sensing and real-time onboard computing capabilities, there is a strong need on using off-site computing facilities to assure the safety for all road users, including vehicles and pedestrians. This talk will share the challenges and trend of autonomous systems and how the off-site computing facilities can collaborate with the automation systems to operate coherently.

  • Short Bio: Dr. Chi-Sheng Shih is a professor at Graduate Institute of Networking and Multimedia and Department of Computer Science and Information Engineering at National Taiwan University. He received the B.S. in Engineering Science and M.S. in Computer Science from National Cheng Kung University in 1993 and 1995, respectively. In 2003, he received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign. His main research interests include embedded systems, hardware/software co-design, real-time systems, middleware, and cyber-physical systems. His research results won several awards including the Best Paper Award in 2019 MobiSec/Future ICT, 2016 IEEE International Symposium on Cloud and Service Computing, 2011 ACM Research in Applied Computation Symposium (RACS 2011), IEEE RTCSA 2005, and IEEE RTSS 2004. He leads the NTU RoboPAL team, which won the first place of Shield Challenge of Standard Platform League in RoboCup 2018. He also serves the Associate Editor of IET Cyber-Physical Systems: Theory and Applications and Springer Journal of Services-Oriented Computing and Applications (SOCA). Between August 2017 and August 2018, he had a jointed position at National Taiwan University Hospital and serve as the Sector Chief of System and Networking Group in the Office of Information Technology. Between September 2018 and July 2019, Dr. Chi-Sheng Shih had a jointed position at LiLee Systems as a Chief Scientist and participate the projects related to autonomous vehicle. Starting in August 2019, he started to serve the Director of Graduate Institute of Networking and Multimedia, National Taiwan University and the Interim Director of High Performance and Scientific Computing Center.

Keynote Speaker #2 (5:00 PM, September 9)

Prof. Davide Taibi

Title: From Monolithic Web-Apps to Micro-Frontends

  • Abstract: Companies are decomposing their monolithic systems into more modular systems based on microservices. However, the frontends usually remain monolithic, bringing the same issues usually faced by monolithic backends. Micro-Frontends is a new approach that enable to decompose monolithic frontends into independent frontends that enable developers to work independently, enabling to decentralize decisions and deploy independently. However, Micro-Frontends also introduce some drawbacks. In this talk we will introduce the main motivations, benefits and issues that brought companies to adopt microfrontends, and we will present a set of issues that still remain open in monolithic and micro-frontends.

  • Short Bio: Davide Taibi is Associate Professor at the Tampere University where he is leading the Cloud and WEb Engineering Group (CLoWeE). His research is mainly focused on cloud-native systems, where he is working on the identification and reduction of Technical debt, especially in the case of migration from monolithic to cloud-native applications. He is investigating processes, and techniques for developing Cloud Native applications, identifying cloud-native specific patterns and anti-patterns. Davide is also supporting local companies to keep their software maintenance under control, by applying continuous quality monitoring techniques and by supporting them in spotting DevOps antipatterns.