Dr. Chang Meng-Wei | Edge computing | Machine Learning Research Award
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taiwan
Meng-Wei Chang is a visionary Chief Engineer with a knack for cutting-edge technology solutions. With a PhD in Electrical Engineering from National Taiwan University of Science and Technology, he has honed his skills in software foundations, computer architecture, and artificial intelligence. Chang’s career spans across various roles in prestigious companies like ADATA Technology and Admiral Overseas Corporation, where he showcased his expertise in product development and brand design. His innovative contributions include the development of the first Android TV set-top box at Tatung and leading the development of an autonomous mobile robot in collaboration with National Taiwan University.
Profile
📚 Education:
Meng-Wei Chang holds a Ph.D. in Electrical Engineering from the National Taiwan University of Science and Technology, where his research focused on software foundations, computer architecture, and artificial intelligence. His academic journey has equipped him with a deep understanding of algorithms, embedded systems, and heterogeneous computing.
🛠️ Experience
Chang’s professional journey includes roles such as Leader Engineer at ADATA Technology, where he collaborated on the development of an autonomous mobile robot, and Leader Engineer at Admiral Overseas Corporation, where he led brand design initiatives. His tenure at Tatung saw him pioneering the development of the first Android TV set-top box, showcasing his expertise in product innovation and RFQ/RFI assessments.
🔬 Research Interests:
Meng-Wei Chang’s research interests lie in the realms of software foundations, computer architecture, and artificial intelligence. His work focuses on adaptive computing, neural networks, and heterogeneous computing architectures.
🏆 Awards:
Meng-Wei Chang’s contributions have been recognized in academia and industry, earning him prestigious awards and accolades for his innovative solutions and impactful research.
Publication:
Journal of the Chinese Institute of Engineers (JCIE) – Real-time multi-fusion perceptron architecture for autonomous drones (Published in 2022)
Journal of the Chinese Institute of Engineers (JCIE) – Adaptive Neural Acceleration Unit based on Heterogeneous Multicore Hardware Architecture FPGA and Software (Published in 2021)