To address challenges and future developments in structural engineering, Dr. Wang has developed a deep-learning-based platform, which contains (1) physics-informed neural networks (EPINN) for structural simulation and (2) state-of-the-art neural operator (VINO) for structural health monitoring.
The spread of pathogenic microorganisms in public spaces poses a great threat to human health.
Professor Leung’s team develops a system using far ultraviolet C (UVC) light (wavelength: 222nm) for surface and air disinfection in an actual environment without affecting the normal usage of the area.
Many studies indicated that Far UVC will not create harmful effect on testing creatures such as mice. To further strengthen the safety use of the device for disinfection, the system will not irradiate far UVC light in the presence of people in the area so it will be totally safe in using it.
DipµChip is an automated capillary microfluidic-based point-of-care (POC) microsystem allowing rapid and portable detection of various high-impact and mortality diseases, such as pneumonia, sepsis, malaria, and COVID-19. Our Mission is “Empowering access to adequate clinical care for high-impact disease patients using molecular biology and point-of-care microfluidics.” End-users of DipµChip include clinics, hospitals, homes, and assisted living healthcare facilities, democratizing access to adequate clinical care, and saving precious lives of patients in need.
The evolution of artificial intelligence (AI) and the growing demands from Big Data are hampered by current hardware performance, spurring extensive research into accelerator chips. As silicon transistors reach physical limits, there is an urgent need to explore new computing paradigms based on unconventional devices.
Dr Li’s team is developing new brain-inspired computing paradigms using emerging memory devices, aiming to showcase the potential of these neuromorphic computing systems in laboratory settings.
• Labor shortage impacts garment factories and labor-intensive industries.
• Automation helps workers focus on higher value-added tasks.
• Industrial systems face challenges in automating textile handling.
August 3, 2023 (Thursday) 4:30-5:30pm
Mouse embryonic stem cells (ESCs) derived from the epiblast contribute to the somatic lineages and the germline upon reintroduction to the blastocyst but are excluded from the extraembryonic tissues in the placenta that are derived from the trophectoderm (TE) and the primitive endoderm (PrE). By inhibiting signal pathways implicated in the earliest embryo development, we established cultures of mouse expanded potential stem cells (EPSCs) from individual 4-cell and 8-cell blastomeres, by direct conversion of embryonic stem cells (ESCs) and through reprogramming somatic cells. Bona fide trophoblast stem cell (TSC) lines, extra-embryonic endoderm stem (XEN) cells, and ESCs could be directly derived from EPSCs in vitro. The knowledge of mouse EPSCs has enabled the establishment of EPSCs of human, pig, bovine and additional mammalian species. EPSCs of these species share similar molecular features and developmental potentials. They are genetically and epigenetically stable, can be maintained in homogenous long-term cultures and permit efficient precision and complex genome editing. EPSCs thus provide new tools for studying normal development and open up new avenues for translational research in biotechnology, agriculture, and regenerative medicine. For example, we find that early syncytiotrophoblasts produced from human TSCs are highly susceptible to coronavirus infection. This finding has enabled the development of a new stem cell-based antiviral drug discovery technology. I will discuss our thoughts on collaborations with engineering colleagues.
Global responses to the COVID-19 pandemic have largely been suboptimal due to significant underdevelopment of infrastructure, human capital and analytics in pandemic prevention, preparedness, and response (PPR). In particular, epidemic nowcasting has been universally challenging because it requires distilling informative or actionable insights from diverse range of real-world data which are often biased. Misinterpretation, misrepresentation or otherwise misuse of these nowcasts will fuel infodemics, as we have learned to our detriment during the COVID-19 pandemic. We will discuss some lessons learned from COVID-19 and how we can strengthen pandemic PPR in the Age of Information.
The Longyou Caves represent an important historical site in China that has undergone periodic water level changes over several centuries. The ground water flow through the intact rock and fractures is an important factor in the geotechnical assessment of the site. The Environmental Geomechanics Laboratory at McGill University has focused on the development of innovative theoretical approaches and experimental facilities for wide range of rocks including Indiana Limestone, the Cobourg Limestone, the Vermont Granite and the Lac du Bonnet Granite, using both steady state and transient techniques. In this Teck Talk, Professor Selvadurai will present a range of experimental techniques, their theoretical interpretations that can be used to estimate of fluid transport processes through intact rocks that can be described by Darcy’s law. The theoretical and experimental techniques are used to determine the intact permeability of Longyou claystone recovered from the site.
Emerging infectious diseases, such as COVID-19 and pandemic influenza, have a significant impact on the healthcare system and the society. Rapid diagnostic tests are essential for guiding patient management and infection control measures, which lead to improvement in patient outcome and prevent outbreaks in the community and in hospitals. In recent years, fully automated testing has greatly reduced the complexity of diagnostic testing and shortened the turn-around time. Despite their potential benefits, several challenges need to be addressed. In this talk, Professor To will present the advances in rapid diagnostic testing, and will discuss about the hurdles in implementing these novel technologies in real-life settings.
By integrating sensing, memory and processing functionalities, biological nervous systems are energy and area efficient. Emulating such capabilities in artificial systems is, however, challenging and is limited by the device heterogeneity of sensing and processing cores., Here, we present a universal solution to simultaneously perform multi-modal sensing, memory and processing using organic electrochemical transistors. The device has a vertical traverse architecture and a crystalline–amorphous channel that can be selectively doped by ions to enable two reconfigurable modes: volatile receptor and non-volatile synapse. As a volatile receptor, the device is capable of multi-modal sensing, and as a non-volatile synapse, it is capable of 10-bit analogue states, low switching stochasticity and good state retention. Homogeneous integration of such devices enables functions such as conditioned reflex and real-time cardiac disease diagnose via reservoir computing, illustrating the promise for future edge AI hardware.