AIoT For Industry 4.0 Workshop: Insights and Highlights

HKUST's Department of Computer Science and Engineering (CSE) hosted the AIoT for Industry 4.0 Workshop on 12 May 2024, which brought together over 70 esteemed experts from academia and industry to explore the convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and Industry 4.0.

Prof. Kang G. Shin's keynote address set the tone for the event, delving into the critical issue of ensuring the safety and reliability of semi-autonomous systems. His presentation on CADCA, a novel control decision-maker, demonstrated a promising approach to resolving conflicting control inputs and preventing incorrect control decisions.

Prof. Lili Qiu's insightful talk showcased the potential of integrating AI and wireless technologies to create innovative intelligent environments. Her vision for equipping AI with a "sixth sense" through advanced wireless communication and sensing capabilities sparked lively discussions among attendees.

The two sessions of local talent talks featured presentations from renowned professors from various institutions in Hong Kong, covering topics such as enhancing LoRa for scalable IoT, intelligent computing in edge-driven roadside systems, signal processing-deep learning co-design for wireless sensing AI, and understanding localization by large AI models. These talks highlighted the region's thriving research community and its contributions to the AIoT ecosystem.

Prof. Chenyang Lu's engaging talk demonstrated the transformative impact of AI and wearables in the healthcare domain. His presentation showcased the potential of using wearable devices and machine learning techniques to support precision medicine, predict postoperative complications, and detect mental health disorders.

Prof. Gian Pietro Picco's talk explored the unique properties of ultra-wideband radio technology and its applications in multi-hop communication and distance estimation/localization. His presentation sparked interesting discussions on the potential of novel network primitives and protocol designs.

Prof. Wen Hu's talk addressed the pressing issue of milk spoilage detection, presenting practical and efficient solutions leveraging novel applications, signal processing, and machine learning techniques. This presentation highlighted the potential of AIoT in addressing real-world problems.

The panel discussion brought together distinguished speakers to explore the gaps and synergies between AIoT, and Industry 4.0. The panelists shared their perspectives on the challenges and opportunities in integrating these technologies, discussing technical, organizational, and societal implications. The engaging discussion concluded the event, leaving attendees with a deeper understanding of the current state and future directions of AIoT for Industry 4.0.

The AIoT for Industry 4.0 Workshop was a resounding success, featuring a diverse range of talks and discussions that explored the intersection of AI, IoT, and Industry 4.0. The event provided a unique platform for knowledge sharing, collaboration, and networking among experts from academia and industry. We extend our gratitude to our esteemed speakers, panelists, and attendees for making this event a memorable one.

More details about the event.

(From Left) Prof. Mo Li, Prof. Zhenjiang Li, Yuanqing Zheng, Prof. Chun Zhang, Prof. Chi Ying Tsui, Prof. Jiannong Cao, Prof. Yuguang Michael Fang, Prof. Chenyang Lu, Prof. Kang G. Shin, Prof. Song Guo, Prof. Lili Qiu, Prof. Qian Zhang, Prof. Gian P. Picco, Prof. Wen Hu, Prof. Chenshu Wu, Prof. Zhengyu Yan, and Prof. Rob Scharff.

Prof. Mo Li, one of the organizers of the event, delivered the welcoming remarks during the open session.

The panelists shared their perspectives on the challenges and opportunities in integrating these technologies, discussing technical, organizational, and societal implications.

Over 70 participants attedned the AIoT For Industry 4.0 Workshop.

Attendees actively participated in the workshop.