Smart Medical Device & System Lab (WiseLAB)
Research Field
Hello! I’m Dr. Yu-Sheng Lin, and I have the pleasure of serving as an Associate Professor at the Department of Mechanical Engineering at Southern Taiwan University of Science and Technology. With a robust foundation in mechanical engineering from the University of Leeds and rich experience spanning research, innovation, and practical applications in both academic and industry settings, my journey has been incredibly rewarding. At the heart of my work is a passion for pioneering new technologies and enhancing the capabilities of medical devices through advanced manufacturing and mechatronics. I am always eager to collaborate with students and professionals who are as enthusiastic about pushing the boundaries of engineering to create impactful solutions. Whether you're a student seeking guidance and mentorship, or a fellow researcher looking to explore new frontiers in engineering innovation, I invite you to join me in this exciting journey of discovery and development. Let’s innovate and inspire together!
The Smart Medical Device & System Lab (WiseLAB), also affectionately known as Wise Lab under the expert guidance of Dr. Yu-Sheng Lin, is prominently situated on the top floor of the Mechanical Engineering building (K-503) at Southern Taiwan University of Science and Technology, offering inspiring views of the campus. This multifunctional space serves as both a research office and a workshop, equipped to support the diligent work of one postgraduate researcher, one PhD student, five Master’s students, and numerous undergraduate project groups who are committed to advancing the field of engineering.
The WiseLAB is known for its commitment to fostering innovation and enhancing engineering skills. The lab's members have earned several awards for their achievements in various competitions, reflecting their dedication and hard work. Scholarly activities are also a key focus, with team members regularly publishing their research findings in respected journals and presenting at international conferences.
Equipped with sophisticated facilities for prototyping and design, the lab houses multiple 3D printers, laser cutters, and comprehensive drawing and computation stations. It also features robust testing facilities, including tensile testers and various data acquisition devices, to support its contributions to the field of smart medical devices.
As part of the Center of Assist Devices and the Center of Intelligent Healthcare, the WiseLAB engages in significant interdisciplinary collaboration, integrating technologies such as mechatronics, sensors, data analysis, and artificial intelligence into the development of assistive devices. These efforts are supported by a range of national and international funding sources, underscoring the lab's role in innovating healthcare solutions.
The WiseLAB is dedicated to the development of smart and efficient medical and assistive devices. Our projects are categorized into three main research areas: smart rehabilitation, smart machines, and medical devices.
1. Smart Rehabilitation:
Our research in smart rehabilitation focuses on integrating machine learning and AI into rehabilitation applications, particularly for mobility training and virtual assessments. We are developing technologies such as markerless posture estimation algorithms for assessing the mobility of stroke patients and applications for home-based training programs. These initiatives are in collaboration with clinicians from the Department of Rehabilitation and occupational therapists. The aim is to create devices that facilitate remote healthcare (tele-rehabilitation), linking home care with hospital services. This is particularly vital given Taiwan's rapidly aging society.
2. Smart Machines:
In the realm of smart machines, our work addresses the burdensome procedures and device inefficiencies in hospitals. We are collaborating with the Departments of Pharmacy and Nutrition to redesign devices that incorporate AI image recognition, robotics, IoT, and AI cameras. These innovations aim to automate processes and aid in decision-making, enhancing the efficiency and effectiveness of hospital operations.
3. Medical Devices:
Our focus in medical devices centers on prototyping devices equipped with sensors. For instance, we are developing a stent connected to a fluid sensor to monitor the health of blood vessel walls. Additionally, we conduct reviews of patents and designs for mechanisms used in Minimal Access Surgery (MAS/MIS) instruments. Our process is driven by brainstorming sessions that respond to the unmet needs of clinicians and surgeons, striving to innovate and improve surgical outcomes.
For more detailed information on our specific projects and research focus, please visit our research topics page. (https://sites.google.com/d/1kJysZchq_42_dsnlk4H5_Sy83v4yM4_h/p/1F_wWKqXMEkyqpnmd51liAQ3kQK8xhk1M/edit)
- Annual Excellent Teaching Award at the Southern Taiwan University of Science and Technology (2024/02)
- Student’s Oral Presentation Excellent Award at the 22nd International Symposium on Advanced Technology (2023/10)
- Annual Excellent Teaching Award at the Southern Taiwan University of Science and Technology (2023/02)
- The Annual Excellent Paper Award at the Journal of Medical and Biological Engineering (2022/12)
- Catalyst Award at the NAM Healthy Longevity Global Competition. (2022/06)
- Annual Excellent Teaching Award at the Southern Taiwan University of Science and Technology (2021/02)
- The Best Conference Poster Award at the 2020 International Symposium on Novel and Sustainable Technology, Tainan, Taiwan. (2020/11)
- Shortlist in young researchers "2020 Rita Levi Montalcini" program, Italian CINECA
- The outstanding prize of the 2019 AIGo industrial AI project competition, Taiwan. (2019/10)
- The Best Conference Poster Award at the 2018 MOST & JST－ICT for Accessibility and Support of Older People, Tainan, Taiwan. (2018/11)
- The Bronze Medal Award at the 2018 Taiwan Innotech Expo, Taipei, Taiwan. (2018/10)
- The Best Conference Paper Award at the 2018 IEEE International Conference on Knowledge Innovation and Invention (ICKII), Jeju Island, South Korea. (2018/07)
- The 1st Prize Paper Award at the 2018 IEEE International Conference on Applied System Innovation (ICASI), Tokyo, Japan. (2018/01)
- The 1st Poster Presentation Award at the International Team for Implantology World Symposium 2017, Basel, Switzerland. (2017/05)
- The 1st Prize Paper Award at the IEEE International Conference on Applied System Innovation, Sapporo, Japan (2017/05)
- The Excellent Paper Award at the 64th ISERD International Conference, Seoul, South Korea (2017/01)
- The Outstanding Paper at the 2016 Conference on Precision Machinery and Manufacturing Technology, Pingtung, Taiwan (2016/10)
- The Best Poster Prize at the 3rd Leeds Oncological Engineering Conference. (2013/09)
- The Best Poster Prize at the Institute of Physics (IoP) Physics in Healthcare Conference. (2012/10)
- The Best Oral Presentation Prize in the Taiwanese Scientific Symposium in Leeds. (2011/03)
Dr. Yu-Sheng Lin is currently an Associate Professor of Mechanical Engineering at the Southern Taiwan University of Science and Technology (STUST) and leads the Smart Medical Device and System Lab (WiseLAB). In addition to his academic role, Dr. Lin serves as a coordinator of international cooperation in the Office of International Affairs at STUST. He has published over 30 research papers and has received several academic and teaching awards in recognition of his outstanding contributions.
Dr. Lin's previous positions include Research Fellowships at the Medical Device Innovation Centre (MDIC) at National Cheng Kung University (NCKU) from 2016 to 2020 and at the Mechanical and Aerospace Engineering department at Queen’s University Belfast (QUB), Northern Ireland, UK, from 2014 to 2015. His research primarily focuses on digital technologies for healthcare and advanced manufacturing applications, integrating skills such as 3D printing, mechatronics, machine learning, and AI into design thinking to address unmet needs.
You can find both Dr. Lin's educational and academics experience below:
- Southern Taiwan University of Science and Technology, Division chief of International Cooperation, Office of International Affairs (2024-Present)
- Southern Taiwan University of Science and Technology, Associate Professor in Mechanical Engineering (2024-Present)
- National Cheng Kung University, Adjunct Assistant Professor in Pharmacy Department (2023-Present)
- Southern Taiwan University of Science and Technology, Assistant Professor in Mechanical Engineering (2020-2024)
- University of Oxford, Visiting scholar in X-lab, 2018
- National Cheng Kung University, Research fellow in Medical Device Innovation Center (2016-2020)
- Queen’s University Belfast, UK, Research fellow in Mechanical Engineering (2014-2015)
- University of Leeds, UK, Ph.D. in Mechanical Engineering (2010-2014)
2 Vacancies
Job Description
We are seeking motivated and talented Software Infrastructure Engineer Interns to join our team in developing the HandyCare mobile application. The ideal candidates will have a strong foundation in software development, an interest in healthcare technology, and a passion for creating impactful solutions. You will work closely with our development team to design, implement, and optimize the infrastructure needed to support the application’s functionalities, including IoT integration, data management, and security protocols.
Key Responsibilities:
- Infrastructure Design and Implementation: Assist in designing and implementing the software infrastructure that supports the HandyCare app, ensuring scalability, reliability, and security.
- IoT Integration: Work on integrating the HandyCare application with IoT devices, enabling real-time data collection and communication between the mobile app and wearable compression devices.
- API Development: Develop and maintain RESTful APIs to facilitate communication between the mobile app and backend services.
- Database Management: Design and manage databases to store patient data securely, ensuring compliance with healthcare regulations and data protection standards.
- System Optimization: Optimize the application's performance by identifying bottlenecks, conducting load testing, and implementing solutions to enhance system efficiency.
- Collaboration: Collaborate with cross-functional teams, including software developers, data scientists, and healthcare professionals, to ensure the seamless integration of various components of the HandyCare system.
- Testing and Debugging: Participate in testing and debugging processes to ensure the reliability and accuracy of the app, particularly focusing on the finger angle detection and gesture recognition features.
- Documentation: Create and maintain technical documentation for infrastructure components, integration processes, and system architecture.
- Research publication: Prepare and discuss with the project leader regularly, and draft the research findings into publication.
Preferred Intern Education Level
The ideal candidate should possess a Master's degree, such as an M.Sc., M.Eng., M. Phil … etc, and be currently pursuing a Ph.D. degree.
Skill sets or Qualities
- Previous experience in healthcare technology or medical software development.
- Familiarity with image processing and gesture recognition technologies.
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Strong interest in developing solutions that positively impact patient care and health outcomes.
- Proficiency in programming languages such as Python, Java, or C#.
- Experience with mobile app development (iOS/Android) and related frameworks (e.g., React Native, Flutter).
- Knowledge of IoT technologies and protocols (e.g., MQTT, Bluetooth Low Energy).
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization tools (e.g., Docker, Kubernetes).
- Understanding of RESTful API design and microservices architecture.
- Experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB).
- Strong problem-solving skills and ability to work in a collaborative environment.
- Basic understanding of healthcare data regulations (e.g., HIPAA) is a plus.
- Excellent communication skills and attention to detail.