Zoom Workshop Series on Control Systems and Data Science towards Industry 4.0
Organiser
S. Joe Qin (School of Data Science, City University of Hong Kong, Hong Kong)
Description
The workshop series intends to promote the importance and prevailing trend of data science, AI and control systems, in the angles of different expertise and prestigious scholars from different continents. It is also the HKIDS’s mission and vision to further promote data science and its related discipline so as to build a global network.
Owing to the travel restriction under the pandemic situation, the workshop series was conducted through ZOOM Video conferencing. The workshop series is open to public worldwide and free admission. Participants from local and different continents like Europe, South America, Asia and Africa attended the series, some are the faculty and students academic institutes, some are the practitioners of data science in industries. A key outcome of the workshop series is to bring control theory and principles into the context of machine learning towards Industry 4.0.
This workshop series is to be given by world-renowned scholars and industrial leaders in the intersection of control systems theory and data analytics. It has 3 modules; each module is with difference technology focus area. During the module, each invited speaker would give a speech in 30-35 minutes, then there would be a 30-minute panel discussion session for the host to interact with speakers, also questions raised by the participants from the public chatroom would be selected and discussed during the panel discussion. To promote the series, an event website (https://www.cityu.edu.hk/sdsc_web/IFAC2021/) has been built to upload the event information and allow the interested parties to register the event through the website. Also the series was also advertised through posters in campus, email database of IFAC, CityU, as well as public promotion through Facebook page and Google Display Network. For all the 3 modules of the workshop series, they were recorded and made available at Youtube at:
https://www.youtube.com/channel/UCc4VlSQ5hBtmh9FCqHZqp0A/videos ,such that, for those who missed the previous module of the series can watch the video to review the series.
Here are the recaps of the 3 modules being held:
Module 1 (Data Science and Automatic Control Systems)
The 1st Module of IFAC Workshop Series on “Control Systems and Data Science Towards Industry 4.0” was successfully held on 19 Mar, 2021 from 8:00pm – 10:30pm (HKT) via Zoom video conferencing. It is privileged to have renowned scholars and industrial leaders to co‐host the workshop in three different time zones, Prof Jie CHEN of CityU chaired the module and moderated the Panel discussions.
Invited speakers and panelists include Prof S. Joe QIN from the City University of Hong Kong (Hong Kong) presenting at the topic of “Predictive Analytics in Industrial IoT, Data, and Systems”; Prof Rolf FINDEISEN from the Ottovon‐Guericke‐University Magdeburg (Germany) presented at the topic of “Entangling Control and Machine Learning via Predictive Control - How to Achieve Flexibility and Safety” and Dr Hong ZHAO from the
Aspen Technology (United States) gave his speech on “An Industry Perspective on AI, Machine Learning and Data Science towards Industry 4.0”.
The event gained great enthusiasm and attracted more than 240 participants all
over the world
Module 2 (Chemical and Biological Engineering Systems)
The Module 2 of IFAC Workshop Series focused on Chemical Systems and
was successfully held on 21 May, 2021 from 9:00am – 11:30am (HKT) via Zoom video conferencing. Prof Li QIU of the Hong Kong University of Science and Technology chaired the module and moderated the Panel discussions.
Invited speakers and panelists include world renowned scholars, including
Prof Richard D. Braatz from MIT (U.S.A.) presented at the topic of “Pharma 4.0: Advanced Manufacturing of (Bio)Pharmaceutical Products”, Prof Furong Gao from the Hong
Kong University of Science and Technology (Hong Kong) gave his speech on “Batch Process Automation”,and Prof Jay H. Lee from KAIST (Korea) presented “Reinforcement Learning vs MPC – Alternative or Complementary?”
The Module II was actively participated by nearly 100 attendees from the world.
Module 3 (Electrical and Computer Engineering Systems)
The Module 3 of IFAC Workshop Series focused on Electronic and Computer Engineering Systems and was successfully held today on 9 July 2021 from 8:00pm – 10:30pm (HKT) via Zoom video conferencing. Prof S Joe Qin of the City University of Hong Kong chaired module and moderated the Panel discussions
Prof Li QIU of the Hong Kong University of Science and Technology gave a talk on Renaissance of Phase, which is eye‐opening on develop a phase theory on MIMO dynamic systems with or without feedback. The phase concept complements the concept of magnitude of a complex quantity. Prof Zhong‐ping JIANG of the New York University talked about Small‐Gain and Machine Learning Techniques for Autonomous Driving, which built a way to analyze stability of machine learning systems and applied to autonomous driving. Prof. Jie Chen of the City University of Hong Kong gave another interesting talk on Revisiting PID, which illustrated how low computing can achieve significant intelligence by exploring the PID control mechanism.
