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SIG – IIIs for VIPs

Biomedical Engineering, SIG project / By

IIIs for VIPs is an SIG collaborating with our supervisor Dr. Joseph Chan. It aims to provide a space where students can create inventions which help improve the daily lives of visually impaired persons (VIPs). We welcome students from engineering, medicine and interested students from other faculties.

Our SIG will support our members in finishing their projects until it becomes available for public use. Any project with the purpose of improving the activities of daily living for VIPs are welcome.

SIG – Engineering and Archaeology

Innovation Wing, SIG project / By

We are forming a new interest group at the Innovation Wing, as a collaboration with humanities and educational researchers at HKU.

In this group, we plan to pursue several interdisciplinary projects that will improve the ways we can study and teach about the human past. Our projects will include uses of augmented and virtual reality in recording, teaching, and presenting archaeological sites. We are also studying the use of machine learning and computer vision for several purposes to study visual datasets such as satellite images of ancient landscapes. We work with a field project that travels to Armenia each summer to excavate. We welcome anyone who would like to join our team, from any Faculty. We especially invite engineers and computer scientists, but we also have many other projects which anyone with an interest can join.

Let’s learn about the human past together! Thank you!

SIG – HKU Robocon

Industrial and Manufacturing Systems Engineering, SIG project / By

The annual Robocon competition project allows HKU engineering students from different disciplines to design and fabricate innovative robots with an integration of various advanced technologies, including IoT sensors, AI, computer vision, and mobile computing. Besides, it provides hands-on experiences on product design, prototyping, CNC machining, design and fabrication of electric circuit and PCB, control program development, etc.

HKU Robocon 2022

Industrial and Manufacturing Systems Engineering, SIG project / By

The annual Robocon competition project allows HKU engineering students from different disciplines to design and fabricate innovative robots with an integration of various advanced technologies, including IoT sensors, AI, computer vision, and mobile computing. Besides, it provides hands-on experiences on product design, prototyping, CNC machining, design and fabrication of electric circuit and PCB, control program development, etc.

HKU Racing 2019

Electrical and Electronic Engineering, Uncategorized / By

Formula Student is a renowned educational engineering competition, combining practical engineering with soft skills including business planning and project management. It is a proving ground for students who want to create and change the world. Electrification of transportation system is here, the combination of electric powertrain and traditional mechanical system has made this competition attractive to lots of industries leading to companys’ attention and support. This competition jump starts our students’ knowledge and skills set for their future career. HKU Racing is the first team from Hong Kong to compete in Formula Student (European series).

Tech Talk – Seeing the unseen in biomedicine with laser

Innovation Wing Two, TechTalk / By

In the past 10+ years, laser microscopy has successfully made it permeated not only in biochemistry and cell/molecular biology research, but also in numerous preclinical and clinical applications. However, our understanding of health and disease is still very limited. This lecture will introduce the latest breakthrough in laser microscopy technologies developed at HKU that can address some of these challenges. Especially these technologies can generate unprecedented views and understanding of the living biological cells. They include: capturing high-resolution motion picture of the swift-flying brain signals in a living animal; visualizing the inner workings of biological cells and organisms in 3D without killing them; and detecting rare cancer cells in millions of blood cells. Not only can these technologies impact new biological discovery (e.g. neuroscience), but also creating many new opportunities in cost-effective clinical diagnosis, especially cancer screening.

Tech Talk – The infini love diamond with a massive future in science

Innovation Wing Two, TechTalk / By

The diamond has been well known as the gem stones in jewellery market, and the same material with various atomic defects, i.e., fluorescent impurities in diamond lattice, shows unique quantum behaviors even at ambient conditions. A diamond, not just a best friend of ladies, but also the best friend of scientists. Due to their unique quantum properties, these atomic defects has been demonstrated to achieve nanometric measurement of various physical quantities such as electromagnetic fields, temperature and etc. with unprecedented precision. Here, I will firstly review the development of diamond-based science and technology, and discuss its potential applications in diverse fields. Specifically, I will introduce the on-going research activities in my group, mainly including the high figure-of-merit diamond materials synthesis, advanced quantum diamond microscope development and diamond quantum sensing in single living cells. In addition, I will also share my journey in exploring beyond academics, e.g., we apply quantum diamond microscope for authenticity identification in local jewellery industry.

Tech Talk – Anti-Covid-19 stainless steel

Innovation Wing Two, TechTalk / By

Stainless steel (SS) is one of the most extensively used materials in many public areas and hygiene facilities but has no inherent antimicrobial properties. Additionally, the SARS-CoV-2 exhibits strong stability on regular SS surfaces, with viable viruses detected even after three days. Undoubtedly, this has created a high possibility of virus transmission among people using these areas and facilities. Here, this talk presents the inactivation of pathogen microbes (especially the SARS-CoV-2) on SS surface by tuning the chemical composition and microstructure of regular SS. It is discovered that Pathogen viruses like H1N1 and SARS-CoV-2 exhibit good stability on the surface of pure Ag and Cu-contained SS of low Cu content, but are rapidly inactivated on the surface of pure Cu and Cu-contained SS of high Cu content. Significantly, the developed anti-pathogen SS with 20 wt% Cu can distinctly reduce 99.75% and 99.99% of viable SARS-CoV-2 on its surface within 3 and 6 h, respectively. Lift buttons made of the present anti-pathogen SS are produced using mature powder metallurgy technique, demonstrating its potential applications in public areas and fighting the transmission of SARS-CoV-2 and other pathogens via surface touching.

Tech Talk – Membranes for Water and Beyond

Innovation Wing Two, TechTalk / By

Membrane separation technology is increasingly used for water and energy related applications. Pressure-driven membrane processes, such as microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), and reverse osmosis (RO), have received great attention, fueled by the increasing needs for water purification, wastewater treatment and reclamation, and seawater desalination. In parallel, many novel membranes and membrane processes are being developed. In this TechTalk, Prof. Chuyang Tang will share his personal journey in the amazing membrane world. He will highlight some of his previous and ongoing research works covering topics on water reuse, seawater desalination, resource recovery, energy production, and beyond.

Tech Talk – dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training

Innovation Wing Two, TechTalk / By

Distributed training using multiple devices (i.e., GPU servers) has been widely adopted for learning DNN models over large datasets. However, the performance of large-scale distributed training tends to be far from linear speed-up in practice. Given the complexity of distributed systems, it is challenging to identify the root cause(s) of inefficiency and exercise effective performance optimizations when unexpected low training speed occurs. To date, there exists no software tool which diagnoses performance issues and helps expedite distributed DNN training, while the training can be run using different machine learning frameworks. This paper proposes dPRO, a toolkit that includes: (1) an efficient profiler that collects runtime traces of distributed DNN training across multiple frameworks, especially fine-grained communication traces, and constructs global data flow graphs including detailed communication operations for accurate replay; (2) an optimizer that effectively identifies performance bottlenecks and explores optimization strategies (from computation, communication and memory aspects) for training acceleration. We implement dPRO on multiple deep learning frameworks (PyTorch, TensorFlow, MXNet) and representative communication schemes (AllReduce and Parameter Server architecture). Extensive experiments show that dPRO predicts performance of distributed training in various settings with<5% errors in most cases and finds optimization strategies with up to87.1%speed-up over the baselines.