Dr. S M Salahuddin Morsalin, National Yunlin University of Science and Technology, Taiwan
S M Salahuddin Morsalin is an accomplished Electronic Engineer with over three years of professional experience in designing, developing, and testing electronic systems, coupled with significant academic teaching contributions. He is currently an Adjunct Lecturer at the Department of Electronic Engineering, National Yunlin University of Science and Technology, Taiwan, where he teaches advanced courses such as Embedded System Design for AI IoT and AI Chip Design. In addition to his academic role, he serves as a Senior Engineer at Foxconn Technology Group, Taiwan, where he focuses on high-speed signal applications, cloud solutions, and advanced automotive systems. Previously, Salahuddin worked as a Researcher at the Big Data Research Center, National Yunlin University, conducting research on electrical machines and edge computing, contributing to publications, and mentoring students. His industry expertise includes a role as an Electrical Hardware Design Engineer at Wiwynn Corporation, Taiwan, where he specialized in cloud system design and hardware troubleshooting for AMD and Intel platforms. Salahuddin’s teaching journey began at Nanhua University, Taiwan, as a Lecturer and Teaching Assistant in Computer Science, delivering courses on Digital Systems, Neural Networks, and Pattern Recognition.
Professional Profile:
ORCID
Summary of Suitability for the Young Scientist Award: S M Salahuddin Morsalin
S M Salahuddin Morsalin is a highly deserving candidate for the Young Scientist Award, given his impressive academic background, innovative research contributions, and commitment to teaching in the field of electronic engineering. His work exemplifies the qualities of a young scientist who is making significant strides in technology and education.
🎓 Education
- M.Sc. in Electronic Engineering
📍 National Yunlin University of Science & Technology, Taiwan
🗓️ Year: 2021
- Specialization: AI Internet of Things and Embedded Systems
- B.Sc. in Electrical and Electronic Engineering
📍 International University, Bangladesh
🗓️ Year: 2016
👨💼 Work Experience
- Adjunct Lecturer (February 2024 – Present)
📍 Department of Electronic Engineering, National Yunlin University of Science & Technology, Taiwan
🎓 Key Courses Taught:
- 🤖 Embedded System Design for AI Internet of Things
- 🧠 AI Chip Design and System Analysis
- ⏱️ Real-Time Embedded Application Development
- Senior Engineer (September 2023 – Present)
🏢 R&D and Engineering Division, Foxconn Technology Group, Taiwan
🔧 Key Responsibilities:
- 🔍 Requirement analysis for cloud and edge computing solutions.
- 📡 Development of high-speed signal processing applications.
- 🛠️ Industrial internet system design for cloud platforms.
- 🚗 Development of automotive solutions for advanced signal systems.
- 🧪 System verification using test instruments.
- Researcher (March 2023 – September 2024)
📍 Big Data Research Center, National Yunlin University of Science & Technology, Taiwan
🔬 Key Responsibilities:
- ⚙️ Conducted edge computing and electrical machine research.
- 📊 Data analysis, literature review, and result publications.
- 📝 Presented findings at seminars and collaborated on research projects.
- 🎓 Mentored students and managed lab equipment maintenance.
🏆 Achievements & Awards
- 🏅 Outstanding Research Contribution Award – National Yunlin University of Science & Technology (2023)
- 📜 Research Publications: Multiple papers published in peer-reviewed journals and conferences in edge computing and embedded systems.
- 🏆 Recognition for Excellence in Teaching – Nanhua University, Taiwan (2021).
- 🧠 Innovative Embedded Design Project Award at Foxconn Technology Group (2023).
🌟 Key Skills & Expertise
- 🤖 Embedded System Design for AI and IoT
- 🌐 Cloud & Edge Computing Solutions
- 🔧 High-Speed Signal Processing Systems
- 📊 Data Analysis & Research Publication
- 🎓 Academic Teaching & Student Mentoring
Publication Top Notes:
Improvement of Human Pose Estimation and Processing With the Intensive Feature Consistency Network
FHI-Unet: Faster Heterogeneous Images Semantic Segmentation Design and Edge AI Implementation for Visible and Thermal Images Processing
FIBS-Unet: Feature Integration and Block Smoothing Network for Single Image Dehazing
FGSC: Fuzzy Guided Scale Choice SSD Model for Edge AI Design on Real-Time Vehicle Detection and Class Counting
A 0.3 V PNN Based 10T SRAM with Pulse Control Based Read-Assist and Write Data-Aware Schemes for Low Power Applications