Skip to main content
Activities Activity Fund
4 min read

Zoom Workshop Series on Control Systems and Data Science towards Industry 4.0

This workshop series highlights the integration of control systems theory, data science, and machine learning to advance Industry 4.0 applications. Organized by S. Joe Qin from the City University of Hong Kong, the three-module online event brought together global experts and industry leaders. It covered key topics including predictive analytics, process automation in chemical and biological engineering, and machine learning for electrical systems.

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.

← Back to Activities

Related from Activity Fund

Build, Control and Fly: Mini-drone Activities

The project aims to engage a diverse range of young people in interactive learning experiences with a focus on control engineering. High-school students will have the opportunity to explore, construct, program, and operate small aerial drones in the form of a hands-on workshop. In addition, captivating drone flight demonstrations will be conducted to educate the broader public.


Activities 27-Aug-2026

Teaching Analytics: a feedback control approach to aid student self-assessment in higher education.

The project Teaching Analytics: a feedback control approach to aid student self-assessment in higher education focuses on developing an open web platform to help teachers share assessment materials globally. Teachers can upload, categorize, and search for exam questions in standard LaTeX format. Students can answer these questions online to track their learning progress through personalized concept maps.


Activities 25-Aug-2026

Pocket-Sized Portable Labs: Control Engineering Practice Made Easy

Pocket-Sized Portable Labs: Control Engineering Practice Made Easy demonstrates how simple experiments using compact, microcontroller-based kits like Arduino and Raspberry Pi can inspire students to study control engineering. Organized under the Portuguese Association for Automatic Control and led by Paulo Moura Oliveira, the project utilized the Temperature Control Laboratory (TCLab) kit to bring hands-on learning into classrooms and homes during the COVID-19 pandemic.


Activities 25-Aug-2026

CTRL+ESC: Control Theory Escape Room Development at TU Berlin

To help introduce control engineering and its underlying principles to the general public, this project created a fun, engaging and accessible way of learning about and being exposed to control engineering by developing a suitable “escape room” for the general public, which consists of a set of puzzles, located in a room (or a collection of rooms), in which participants enter and must solve the puzzles in order to leave the room or get to the next room.


Activities 25-Aug-2026