Dr. Meng-Wei Chang, National Taiwan University of Science and Technology, Taiwan
Dr. Meng-Wei Chang is a highly skilled Chief Engineer with a strong background in electrical engineering and computer science. He holds a PhD from the National Taiwan University of Science and Technology and has extensive experience in developing innovative solutions for companies like ADATA Technology, Admiral Overseas Corporation, and Tatung. His expertise lies in RFQ/RFI assessments, hardware and software design, and autonomous mobile robots. Meng-Wei is a published author and holds multiple patents in the field of low power consumption and adaptive dynamic neural network inference. His passion for technology and dedication to delivering cutting-edge products make him a valuable asset to any team.
🌐 Professional Profiles :
Scopus
🎓 Education:
PhD in Electrical Engineering, National Taiwan University of Science and Technology. Undergraduate Coursework: Operating Systems; Databases; Algorithms; Programming Languages; Embedded Systems.
👨💻 Experience:
- Leader Engineer at ADATA Technology: Developed autonomous mobile robot, participated in product prototype showcase, worked with National Taiwan University Hospital, Chunghwa Post, and Taoyuan Aerotropolis.
- Leader Engineer at Admiral Overseas Corporation: Responsible for brand design, collaborated with units in Taipei, Hsinchu, Xiamen, Fujian, and Shenzhen, involved in US-China trade war assessments and cost reduction developments.
- Engineer at Tatung: Developed first Android TV set-top box, designed Android streaming multimedia operational framework, provided RFQ/RFI solutions for various companies.
📝 Research & Patents:
Low power consumption and adaptive dynamic neural network inference and data processing flow patent in the Republic of China and USA, with Shun-Feng Su.
🏆 Research Interest :
Dr. Meng-Wei Chang’s research interests include Fog Computing, Edge Computing, Control Systems, and AI Acceleration. He is passionate about exploring innovative solutions in these areas and leveraging them to enhance the performance and efficiency of computing systems. With his expertise in electrical engineering and computer science, Meng-Wei is dedicated to developing novel approaches that harness the power of these technologies to solve real-world problems. 🌐
Publications Top Notes :
- Adaptive neural acceleration unit based on heterogeneous multicore hardware architecture FPGA and software-defined hardware
- Published Year: 2024 (Article in Press)
- Journal: Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers, Series A
- Real-time multi-fusion perceptron architecture for autonomous drones
- Published Year: 2022
- Journal: Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers, Series A