Alumni Sharing

Mashiat LAMISA [BSc in ISD 2021]

Current employer: Sparkmate Hong Kong

Current job title: Product Engineer

“HKUST has been the most significant point of turn in my personal and professional life given how much it has allowed me to grow as a person and inspired me to turn my entrepreneurial dreams into reality. I not only got to study here but learnt to build things, invent and work with new technology hands-on.

Graduating from ISD has made it possible for me to get my hands on the latest technologies while in university which a lot of people might not have the opportunity to. And that has led me to my dream job of being a maker, a product engineer at Sparkmate. Being a female in STEM was not just encouraged but also celebrated here in HKUST and that has played a core part of building a can-do attitude within me.”

Chi-ying Tsui received his B.S. degree in Electrical Engineering from the University of Hong Kong and Ph.D. degree in Computer Engineering from the University of Southern California in 1994.  He then joined the Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology and is currently a full Professor in the department. He was the Associate Dean of Engineering at HKUST from 2014 to 2018 and was the founding Head of the Division of Integrative Systems and Design. 

Dr. Tsui’s research interests include designing integrated circuits and VLSI architectures for energy-efficient embedded machine learning, low power multimedia and wireless applications, developing power management circuits and techniques for embedded portable devices and ultra-low power systems for implantable devices. He has published more than 250 referred publications and holds 12 US patents on power management, VLSI and multimedia systems. He co-founded Perception Digital, which was a technology company focusing on designing embedded multimedia devices and was listed in the Hong Kong Stock Exchange in 2009. He also involved in a few start-up companies founded by UST alumni in the area of high-speed IC design, embedded health-care devices and implantable medical devices.  He received the best paper awards from the IEEE Transactions on VLSI Systems in 1995, IEEE ISCAS in 1999, IEEE/ACM ISLPED in 2007, and IEEE DELTA in 2008, CODES in 2012. He also received the Design Awards in the IEEE ASP-DAC University Design Contest in 2004 and 2006. He is a senior member of IEEE.
 

Popup Head
Biography
Thumbnail
People Type
ISD Faculty
People Position
Professor
Email
eetsui@ust.hk
Area
AI hardware accelerator
Baseband application-specific integrated circuit (ASIC)
Computer architecture ‧ Embedded systems
Energy harvesting ‧ Integrated circuits and systems
Phone
2358 7071
Website
http://eetsui.home.ece.ust.hk/
Location
Rm 5599
Location Custom Link
https://pathadvisor.ust.hk/search/nearest/lift/from/5599
Surname
TSUI

[ISD Seminar] Smart Community Design: Education, Research & Practice for Social Change in the Intelligent Age

Events 29 Oct 2024
Events Date29 October 2024 Events5:00 PM EventsRoom 5619 (Lift 31 & 32), Academic Building, HKUST

The modern urban built environment has been a contributor to the social, health and ecological crises faced by cities around the world, while the emergence of artificial intelligence and the new multi-polar global order present both opportunities and existential threats.

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ISD Research Team Develops the First Foundation Model for Marine Image Analysis with Instance Visual Description

News 27 Sep 2024

Congratulations to Prof. Sai-Kit YEUNG (Professor, Division of Integrative Systems and Design, Department of Computer Science and Engineering, and Department of Ocean Science) and Mr. Ziqiang ZHENG (PhD Candidate, Department of Computer Science and Engineering) for getting their groundbreaking research paper accepted as an oral presentation at one of the top-tier conferences - European Conference on Computer Vision (ECCV) 2024. The research team develops the first foundation model for image analysis for marine realms with instance visual description, together with the largest marine image dataset.

The oceans, covering 70% of the Earth’s surface, are teeming with life and play a pivotal role in global climate regulation, yet remain largely unexplored and poorly understood due to their vastness and inaccessibility. Therefore, analyzing and understanding marine imagery has gained increasing attention within both computer vision and marine communities. However, building a foundation model for marine visual analysis is very challenging. The scarcity of labeled data is the most hindering issue, and marine photographs illustrate significantly different appearances and contents from general in-air images. Based on their previous work MarineGPT, the first vision-language model specifically on the marine domain with extensive marine knowledge, Prof. YEUNG and his team created MarineInst20M, the largest marine image dataset to date, with 2.42 million images and 19.2 million masks in total and introduced MarineInst, a foundation model for marine visual analysis which can segment and describe the marine object instances. The dataset and model support a wide range of marine visual analysis tasks, from image-level scene understanding to regional mask-level instance understanding. What’s more, the model exhibits strong generalization ability and flexibility to support various downstream tasks with state-of-the-art performance.

European Conference on Computer Vision (ECCV) ranks top 2 on Research.com’s 2023 Best Computer Science Conference List. Getting the paper accepted as an oral presentation with only 2.33% (200/8585) of total submissions in ECCV 2024 recognizes the innovative capacity of ISD and Prof. Yeung’s team. The research contributes to progress in AI for Science at large and indicates HKUST’s advanced ability in frontier research on Marine AI.

For more information about MarineInst, please visit the website: https://marineinst.hkustvgd.com.

(Article reposted from HKUST Academy of Interdisciplinary Studies)

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[ISD Seminar] Introduction to F1Tenth Robotic Driving and Underwater Internet of Things

Events 22 Oct 2024
Events Date22 October 2024 Events10:00 AM EventsRoom 4503 (Lift 25-26), Academic Building, HKUST

This talk consists of two parts: the first part introduces the F1tenth and F1/16th teaching platforms for autonomous driving. It includes an ROS 2 simulator and 1/10- or 1/16-scale toy cars equipped with edge computing device and sensors. The teaching modules include reactive algorithms such as gap following and path planning algorithms such as SLAM (Simultaneous Localization and Mapping) and Rapidly-exploring Random Tree (RRT)/RRT*.

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Dr. Shao is an Assistant Professor in the ISD division at the Hong Kong University of Science and Technology (HKUST). Prior to that, he received his Ph.D. in Computer Science from Columbia University, his Master's degree from Dartmouth College, and his Bachelor's degree from UESTC. He has previously worked at Philips Research, Snap Research, and Samsung Research, where several of his proposed algorithms are being deployed in real-world products.

His research focuses on mobile computing, ubiquitous computing, and human-computer interaction. His work has been published in top conferences and journals in his field (e.g., MobiSys, IMWUT/UbiComp, MobiCom, NSDI, CHI) and has been recognized by MobiSys Best Paper Award (2024), MobiSys Best Demo Award (2024), MobiCom Best Demo Award (2023), UbiComp Best Teaser Award (2023), Hotmobile Best Demo Award (2020), and NSF Awesome Discoveries (2019). He was also named among ACM MobiSys Rising Stars, NSF Rising Stars in Cyber-Physical Systems. 

Thumbnail
People Type
ISD Faculty
People Position
Assistant Professor
Email
qijiashao@ust.hk
Area
Mobile and Ubiquitous Computing
Human-centered Sensing
Human-Computer Interaction
Smart Health
Wearables
Phone
3469 3291
Website
https://qijiashao.github.io
Location
IAS 1003
Location Preset Link
https://pathadvisor.ust.hk/search/nearest/lift/from/ROOM%201003;0OayGrAZul-v;LSK1;398,320/floor/LSK1/at/normalized/24,198,3
Surname
SHAO

ISD UG and PhD Students Published Research Paper on Advanced Science as First Authors

News 08 Aug 2024

Haosong ZHONG (Year 4 undergraduate student) and Xupeng LU (year 1 PhD student) from the Division of Integrative Systems and Design (ISD) have recently published a research paper titled “Seeing Through Muddy Water: Laser-Induced Graphene for Portable Tomography Imaging” on Advanced Science as the first authors under the supervision of Prof. Mitch LI of ISD.

Advanced Science is a premium interdisciplinary open access journal covering cutting-edge research in materials science, physics, chemistry, medical and life sciences, and engineering. It publishes high-quality research as a leading open access journal in various scientific fields.

The study explores the potential of graphene in imaging by utilizing laser-induced graphene (LIG) electrodes for detection in turbid water through an Electrical Impedance Tomography (EIT) application. A fiber laser marking machine with a wavelength of 1064 nm is used for fabricating the LIG electrode array, and later is placed in a beaker of water for testing. The portable four-terminal EIT prototype enables easy identification of items with varying conductivity levels under muddy water via wireless (Bluetooth) communication.

The discovery not only demonstrates that LIG fabricated by a 1064 nm fiber laser could serve as EIT electrode material but also proposes a new, cost-effective method for long-term underwater monitoring due to its high corrosion resistance. The device produces satisfactory image quality and resolution at a low cost, and the technology causes less environmental degradation compared to existing methods, which is an ideal nanomaterial that could integrate into underwater robotics or marine automation devices.

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MPhil in Technology Innovation and Entrepreneurship (TIE)

The Hong Kong University of Science and Technology (HKUST) is committed to fostering the spirit of innovation and entrepreneurship, and has incubated over 1,700 active start-ups, including 10 unicorns and 11 listed companies, creating more than HK$400 billion of economic benefits for the community, and nurturing tens of thousands of innovative talents rooted in a wide range of industries. Today, Clear Water Bay has become a cradle of technology innovations with rich resources and a strong eco-system. 

The Master of Philosophy in Technology Innovation and Entrepreneurship (TIE) is a major attempt by HKUST to reshape the education system and make the school a real driving force for continuous innovation in society after 30 years of focus on education. The entire training model will be transformed from the traditional model to a problem-oriented, multidisciplinary, project-based learning model, designed for innovators and entrepreneurs who aspire to take the lead in the deep technology field.

The program provides a comprehensive new engineering education experience, combining in-depth technical knowledge with necessary entrepreneurial skills. Students will work in dynamic teams, participate in rigorous research training, and gain valuable industry experience opportunities. Each student must complete a thesis independently under the guidance of faculty members and collaborate on team projects that combine theoretical insights with practical applications. If you have a solid foundation in science and engineering, a courageous entrepreneurial spirit, a good team spirit, and a desire to learn interdisciplinary thinking, come and apply!

Educational Objectives

 

The TIE program encapsulates HKUST’s accumulated experience in fostering innovation and entrepreneurship and propels students to the forefront of technological advancement and enterprise creation. TIE has three key features: 

  • A research-driven entrepreneurship education
    • This approach ensures graduates are well-equipped to be technical experts in specific areas and are able to originate solutions and overcome technical barriers of complex problems.
  • A research-to-industry ecosystem
    • A synergistic ecosystem linking students with industry practitioners, investors, and other relevant stakeholders to offer practical experience in commercializing original research outcomes to resolve real-life challenges.
  • Collaborative learning and personalized research endeavours
    • TIE promotes teamwork and individual research contribution. Students will pursue individual thesis topics linked to a prototype/service developed by their team.
Curriculum and Learning Outcomes

 

Students are required to take a total of 12 credits of coursework (including 6 credits of core courses, i.e. Design Thinking, Entrepreneurial Literacy, and 6 credits of elective courses), to fulfill HKUST graduation requirements, and complete individual thesis research. Besides the required courses, students will be equipped with Graduate Teaching Assistant Training, Professional Development Courses, and Language courses for full-person development. The detailed curriculum can be found in the Program Catalog. 

Besides the required courses, Industrial Engagement Workshops, Field Trips & Exhibitions, as well as Technology Innovation and Entrepreneurship Seminar will be provided. 

Students in teams of 4 to 5 will collaboratively develop a product prototype or service throughout the program, and conduct a product demonstration. Each team will be assigned a prime supervisor and include additional supervisors based on the specialized expertise or guidance necessary from faculty members.

Students are required to complete an individual thesis related to the group-based product prototype or service they worked on.

The 2-year program journey and milestones are illustrated as above. On successful completion of the program, graduates will be able to:

  1. Tackle challenges of technology innovation in a real context
  2. Diversify market sense.
  3. Converge resources to integrate supply chains and industry pain points.
  4. Possess outstanding technical capabilities and leadership.
  5. Communicate effectively to do market research and form groups.
  6. Learn fast from changing scenarios and study interdisciplinarity.
  7. Implement products to fit the market need and maintain sustainability.
  8. Iterate products continuously and have the ability to commercialize.
Research Areas

 

Through the program study, candidates will establish a robust foundation in the following areas, a profound sense of curiosity, and an aptitude for learning are ideal for this program.

  • Marine Tech, Underwater Vision, Transport, Communications
  • Bio Health, Bio-inspired Design, [Tele] Medical Design, Wearable Healthcare Devices
  • AI Hardware, Edge AI
  • Low Energy System Design, Architectural Geometry, Sustainable Design
  • Design Theory, Innovative Design, Human-centred Design
  • Computer-Aided Design and Manufacturing (CAD/CAM)
  • Computer Vision, Computer Graphics, Computation Design
  • Augmented Reality, Pervasive and Cloud Computing
  • System Designs, Embedded Systems
  • Microelectronics, Beyond 5G, IoT
  • Robotics Dynamics and Control, Systems Simulation and Modelling
Academic and Industrial Partners

 

The TIE MPhil program is designed to bridge the gap between academic research and real-world application. Our program collaborates with a diverse range of academic institutions and industrial partners to provide students with a comprehensive learning experience.

  • Academic Partners

Our academic partners include leading universities and research institutions, including UC Berkeley, Olin College of Engineering, Shenzhen InnoX Academy, etc. Collaborative research projects and joint seminars can foster an environment of innovation, encouraging students to engage with current trends and challenges in technology.

  • Industrial Partners

We also collaborate with various industrial partners, including HKSTP, HKCRC, XBot Park, etc. By working closely with industry leaders, students will gain practical experience and insights into the entrepreneurial landscape.

 

Application and Financial Assistance

 

TIE requires a period of two years of study in full-time mode. For details on admission requirements and the application process, please visit the Program Catalog.
Typically, all qualified students accepted to HKUST MPhil programs will receive postgraduate studentship (PGS) which carries financial assistance sufficient for an individual’s cost of living in Hong Kong. For detailed regulations, please visit the FYTGS webpage and Handbook for Research Postgraduate Studies for details.

 

Program Contact