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  • Video 
    DeepSeek and beyond

    DeepSeek and beyond

    The PolyU Academy for Interdisciplinary Research (PAIR) of The Hong Kong Polytechnic University (PolyU) today hosted its inaugural Public Forum for Research and Innovation. Titled “DeepSeek and Beyond”, the keynote speech was delivered by Prof. YANG Hongxia, Associate Dean (Global Engagement) of the PolyU Faculty of Computer and Mathematical Sciences and Professor of the Department of Computing, who highlighted the latest developments in artificial intelligence (AI). The event attracted over a thousand participants, including faculty members, students, alumni, and leaders from the innovation and technology sector, as well as academics and the public. Additionally, over 390,000 viewers tuned in through the live streaming platforms.
    The Forum began with a welcoming speech delivered by Prof. CHEN Qingyan, Director of PAIR and Chair Professor of Building Thermal Science of the PolyU Department of Building Environment and Energy Engineering. This was followed by Prof. ZHANG Chenqi, Chair Professor of Artificial Intelligence of the PolyU Department of Data Science and Artificial Intelligence, and Director of the PolyU Shenzhen Research Institute introducing the speaker.
    Prof. Zhang said, “The development of large models is at the core of competition in the AI wave. DeepSeek has demonstrated that high-performance AI models can be achieved using fewer and less advanced graphics processing units (GPUs), demonstrating that cutting-edge AI technology can be realised through the optimisation of algorithms.”
    The large AI model developed by the mainland Chinese startup DeepSeek has garnered wide acclaim around the world for its low-cost, high-performance, and open-source framework, disrupting the traditional “computing power-first” logic of AI model training. At the Forum, Prof. Yang highlighted the potential of generative AI (GenAI), adding that it presents abundant opportunities for various sectors, including healthcare, finance, manufacturing, retail, media and fashion, and for applications in medical imaging analysis, fraud detection, predictive maintenance, retail inventory management, content creation, and design and marketing.
    Prof. Yang also recounted the evolution of AI and shared her professional milestones with the audience, notably the development of the M6 large model, which trained a 10-trillion-parameters model using just 512 GPUs. Prof. Yang further elaborated on how her GenAI project, Co-GenAI, improves the accessibility of AI technology while minimising dependence on large-scale centralised computing resources, thereby transforming the trajectory of AI progress. This ground-breaking effort has positioned Hong Kong and the Mainland at the forefront of global advancement in GenAI.
    Moderated by Prof. Zhang Chenqi, a panel discussion was also held, featuring esteemed panellists Prof. Yang Hongxia and Prof. LI Qing, Head and Chair Professor of Data Science of the PolyU Department of Computing, and Co-Director of the Research Centre for Digital Transformation of Tourism. The scholars discussed the opportunities and challenges that advancements in AI present for higher education and research. They also engaged in fruitful discussion with participants during the question-and-answer session. The topics included the application of AI in industry, the regulation of information, its impact on the employment environment and economic development, and the integration of AI technologies.
    PolyU is committed to advancing AI education and research. In January 2025, the University established the Faculty of Computer and Mathematical Sciences with a vision to lead global advancements in digital transformation and AI through distinguished education, research, and knowledge transfer.
    Event date: 11/03/2025
    Speaker: Prof. YANG Hongxia
    Hosted by: PolyU Academy for Interdisciplinary Research

    Subjects:
    Computing, Data Science and Artificial Intelligence
    Keywords:
    Chatbots Artificial intelligence Deep learning (Machine learning) Machine learning Business intelligence Natural language processing
    Resource Type:
    Video
     
  • Video 
    PAIR distinguished lecture series : bioelectronics – frontiers in the integration of technology with biology

    PAIR distinguished lecture series : bioelectronics – frontiers in the integration of technology with biology

    Prof. John A. ROGERS from Northwestern University, United States, delivered the 35th PAIR Distinguished Lecture titled “Bioelectronics – Frontiers in the Integration of Technology with Biology” on 19 February 2025 on the PolyU campus. The lecture attracted over 130 participants to join in person and captivated an online audience of over 12,800 from different countries and regions who watched the live broadcast on multiple social media platforms, including Bilibili, WeChat, Weibo and YouTube.
    The lecture began with a warm welcome and introduction of the speaker by Prof. CHEN Qingyan, Director of PAIR. Prof. Rogers kickstarted his presentation by providing an overview of the advanced electronic technologies designed for stable, intimate integration with living organisms. These technologies serve as the foundations for patient monitoring and disease treatment. Specifically, the ability to inject miniaturised, biocompatible electronic systems into soft tissues or laminate them onto vital organs opens unique opportunities in tracking and manipulating biological activity, with significant implications in human healthcare.
    Prof. Rogers also discussed the core concepts in materials science, circuit design, and manufacturing that underpin these technologies, including bioresorbable or “transient” devices engineered to dissolve in the body in sync with natural processes. He also presented several joint interdisciplinary projects with long-time collaborator Prof. HUANG Yonggang, including skin-like wireless devices for tracking vital signs and bioelectronic “medicines” for neuroregeneration and temporary cardiac pacing.
    Following the presentation was a question-and-answer session moderated by Prof. ZHENG Zijian, Associate Director of the Research Institute for Intelligent Wearable Systems (RI-IWEAR) and Chair Professor of Soft Materials and Devices in the Department of Applied Biology and Chemical Technology. The audience engaged in a productive discussion with Prof. Rogers.
    Event date: 19/02/2025
    Speaker: Prof. John A. ROGERS
    Hosted by: PolyU Academy for Interdisciplinary Research

    Subjects:
    Biology
    Keywords:
    Drug delivery systems Biomedical engineering Bioelectronics Patient monitoring
    Resource Type:
    Video
     
  • Video 
    PAIR distinguished lecture series : digital twinning the built environment

    PAIR distinguished lecture series : digital twinning the built environment

    The lecture commenced with a welcome speech by Prof. CHEN Qingyan, Director of PAIR, followed by a brief speaker introduction by Prof. Christopher CHAO, Vice President (Research and Innovation).
    In his presentation, Prof. Brilakis first gave a brief introduction to digital twins (DT), pointing out that DT plays a central role in digital transformation. Next, he elaborated on the application of DT in the construction industry and explained how DT is involved in the planning, design, construction, maintenance and operation processes. He introduced research conducted at the University of Cambridge on inexpensive methods for generating object-oriented infrastructure geometry, detecting, and mapping visible defects on the resulting DT, automatically extracting defect spatial measurements, and sensor and sensor data modelling. Prof. Brilakis also provided examples of how these resulting DT are further exploited in design for manufacturing and assembly (DfMA), mixed-reality-enabled mobile inspection, and proactive asset protection from accidental damage. To conclude, Prof. Brilakis stated that DT, smart materials, data science, and automation & bobotics, constitute important digital assets for driving sustainability, and pointed out the future development directions in these areas.
    A question-and-answer session moderated by Prof. DING Xiaoli, Director of the Research Institute for Land and Space (RILS), and Prof. WANG Yuhong, Member of RILS, followed. This session provided both the online and on-site audience with an opportunity to engage in a fruitful discussion with Prof. Brilakis.
    Event date: 08/03/2024
    Speaker: Prof. Ioannis BRILAKIS (University of Cambridge)
    Hosted by: PolyU Academy for Interdisciplinary Research

    Subjects:
    Technology
    Keywords:
    Construction industry Digital twins (Computer simulation) Buildings -- Computer-aided design
    Resource Type:
    Video
     
  • e-book 
    Introduction to Aerospace Structures and Materials

    Introduction to Aerospace Structures and Materials

    This book provides an introduction to the discipline of aerospace structures and materials. It is the first book to date that includes all relevant aspects of this discipline within a single monologue. These aspects range from materials, manufacturing and processing techniques, to structures, design principles and structural performance, including aspects like durability and safety. With the purpose of introducing students into the basics of the entire discipline, the book presents the subjects broadly and loosely connected, adopting either a formal description or an informal walk around type of presentation. A key lessons conveyed within this book is the interplay between the exact science and engineering topics, like solid material physics and structural analysis, and the soft topics that are not easily captured by equations and formulas. Safety, manufacturability, availability and costing are some of these topics that are presented in this book to explain decisions and design solutions within this discipline.

    Subjects:
    Aeronautical and Aviation Engineering
    Keywords:
    Aerospace planes Aerospace engineering Textbooks
    Resource Type:
    e-book
     
  • Courseware 
    ArchiStar Academy

    ArchiStar Academy

    ArchiStar Academy has world class software and training for architects, engineers and universities students.

    Subjects:
    Computing, Data Science and Artificial Intelligence
    Keywords:
    Design Technology
    Resource Type:
    Courseware
     
  • Courseware 
    Forensic Engineering: Learning from Failures

    Forensic Engineering: Learning from Failures

    What do collapsed buildings, infected hospital patients, and crashed airplanes have in common? If you know the causes of these events and conditions, they can all be prevented. In this course, you will learn how to use the TU Delft mind-set to investigate the causes of such events so you can prevent them in the future. When, for instance, hundreds of hospital patients worldwide got infected after having gall bladder treatments, forensic engineering helped reveal how the design and use of the medical instruments could cause such widespread infections. As a result, changes were made to the instrument design and the procedural protocols in hospitals. Learning from failure in this case benefitted patient health and safety across the world. After taking this course you will have an understanding of failures and the investigation processes used to find their causes. You will learn how to apply lessons gained from investigating previous failures into new designs and procedures.

    Keywords:
    Forensic engineering Failure analysis (Engineering)
    Resource Type:
    Courseware
     
  • Courseware 
    Introduction to Manufacturing Systems

    Introduction to Manufacturing Systems

    This course provides ways to analyze manufacturing systems in terms of material flow and storage, information flow, capacities, and times and durations of events. Fundamental topics include probability, inventory and queuing models, optimization, and linear and dynamic systems. Factory planning and scheduling topics include flow planning, bottleneck characterization, buffer and batch-size analysis, and dynamic behavior of production systems.

    Subjects:
    Logistics and Industrial and Systems Engineering
    Keywords:
    Manufacturing processes Production planning Production engineering
    Resource Type:
    Courseware
     
  • Courseware 
    Computation Structures

    Computation Structures

    This course introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. It covers the topics including multilevel implementation strategies, definition of new primitives (e.g., gates, instructions, procedures, processes) and their mechanization using lower-level elements. It also includes analysis of potential concurrency, precedence constraints and performance measures, pipelined and multidimensional systems, instruction set design issues and architectural support for contemporary software structures.

    Subjects:
    Computing, Data Science and Artificial Intelligence and Electrical Engineering
    Keywords:
    Digital electronics
    Resource Type:
    Courseware
     
  • Courseware 
    Elements of Mechanical Design

    Elements of Mechanical Design

    This is an advanced course on modeling, design, integration and best practices for use of machine elements such as bearings, springs, gears, cams and mechanisms. Modeling and analysis of these elements is based upon extensive application of physics, mathematics and core mechanical engineering principles (solid mechanics, fluid mechanics, manufacturing, estimation, computer simulation, etc.).

    Subjects:
    Mechanical Engineering
    Keywords:
    Engineering design Machine design
    Resource Type:
    Courseware
     
  • Open (Access) Journal-Article 
    Using Six Sigma DMAIC Methodology and Discrete Event Simulation to Reduce Patient Discharge Time in King Hussein Cancer Center

    Using Six Sigma DMAIC Methodology and Discrete Event Simulation to Reduce Patient Discharge Time in King Hussein Cancer Center

    Short discharge time from hospitals increases both bed availability and patients and families satisfaction. In this study, the Six Sigma process improvement methodology was applied to reduce patients discharge time in a cancer treatment hospital. Data on the duration of all activities, from the physician signing the discharge form to the patient leaving the treatment room, were collected through patient shadowing. These data were analyzed using detailed process maps and cause-and-effect diagrams. Fragmented and unstandardized processes and procedures and a lack of communication among the stakeholders were among the leading causes of long discharge times. Categorizing patients by their needs enabled better design of the discharge processes. Discrete event simulation was utilized as a decision support tool to test the effect of the improvements under different scenarios. Simplified and standardized processes, improved communications, and system-wide management are among the proposed improvements, which reduced patient discharge time by 54 from 216 minutes. Cultivating the necessary ownership through stakeholder analysis is an essential ingredient of sustainable improvement efforts.

    Subjects:
    Health Sciences and Management
    Keywords:
    Hospitals -- Administration Process control Six sigma (Quality control stard)
    Resource Type:
    Open (Access) Journal-Article
     
    OER