جستجوی استاد راهنمای دانشگاهی

Ai-Chun Pangمشاهده پروفایل

استاد

• Fog/Edge Computing
• Wireless Networking
• Mobile Computing
• +۵ مورد دیگر

Professor Ai-Chun Pang is affiliated with the National Taiwan University , serving in both the Department of Computer Science and Information Engineering and the Graduate Institute of Networking and Multimedia . He held leadership roles including Associate Dean (2018-2022) and Director (2013-2016) within the College of Electrical Engineering and Computer Science. His research spans Fog/Edge Computing , Wireless Networking , Mobile Computing , and AIoT Systems , with recent advancements in federated learning security, energy-efficient network design, and 5G/6G optimization. Collaborative work includes applications in vehicular networks, industrial control systems, and non-terrestrial connectivity. Key publication themes: Edge Intelligence and Privacy (2024) Federated Learning for Heterogeneous Devices (2023-2024) 5G Backhaul Optimization (2017-2021) Wireless Energy Transfer (2022) Awarded IEEE Fellow 2021 for contributions to mobile edge networks, he has received multiple IEEE Vehicular Technology Society awards, the CES 2019 Innovation Award , and teaching accolades including National Taiwan University Distinguished Teaching Award (2010) . His lab has produced 16 PhD students now in academia and industry. As Editor-in-Chief of IEEE Wireless Communications Letters and active in conference organization, he shapes global research directions. Current projects focus on GenAI for Networking and Non-Terrestrial Networks , with recent 2024 admissions for new students.

Yao Wen Changمشاهده پروفایل

استاد

• Electronic Design Automation (EDA)
• Integrated Circuit Physical Design
• Heterogeneous Integration
• +۳ مورد دیگر

Yao Wen Chang is a Professor at National Taiwan University (NTU) , with joint appointments in the Graduate Institute of Electronics Engineering , Department of Electrical Engineering , and Department of Computer Science and Information Engineering . His research focuses on Electronic Design Automation (EDA) , particularly physical design, 2.5D/3D heterogeneous integration, design for manufacturing/reliability, EDA for AI, and analog circuit automation. He leads the EDA Lab , contributing to both academic and industrial advancements in nanometer ICs and semiconductor technologies. Education : Ph.D., Department of Computer Sciences, The University of Texas at Austin (1996) M.S., Department of Computer Sciences, The University of Texas at Austin (1993) B.S., Department of Computer Science and Information Engineering, National Taiwan University (1988) Research Trends : His recent work bridges AI and EDA, emphasizing co-design across board, package, and chip domains. He also explores design automation for analog circuits and combinatorial optimization challenges in nanometer-scale ICs. Scientific Awards : Recipient of the TECO Award (2017) NSC Distinguished Research Award (2011) NTU Distinguished Teaching Award (2020, 2013) Ministry of Science and Technology Academic Award (2022) Chinese Institute of Electrical Engineering Medal (2023) Labs & Teams : He directs the EDA Lab at NTU, which develops cutting-edge tools and methodologies for semiconductor design. The lab’s work includes open-source code and participation in international design contests.

• Strategic Management
• International Business
• Innovation and Entrepreneurship
• +۲ مورد دیگر

KUO FENG HUANG is a Professor in the Department of Business Administration at National ChengChi University 's College of Commerce, with extensive research contributions in Strategic Management, International Business, Innovation, and Entrepreneurship . Their work bridges theoretical frameworks with empirical studies across Asian markets, particularly focusing on SME dynamics, technology transfer, and institutional capital. PhD in Management from University of London (2005) Teaching since 2005 at National ChengChi University Research interests span Strategic Alliances, Innovation Ecosystems, and Organizational Theory , with significant publications in top journals like Strategic Organization and Journal of Business Research . Recent work investigates digital transformation in SME internationalization and institutional voids in China . Awards include AIB 2017 Best Reviewer and multiple National ChengChi University teaching excellence awards . Principal Investigator for 114-102 National Science and Technology Council projects Focus on AI integration in strategic management (2025-2027) Active in academic leadership as Director of Doctoral Programs and Secretary of Phi Tau Phi Scholastic Honor Society.

Chia-Lin Yangمشاهده پروفایل

استاد

• Low-power embedded systems
• High-performance processor architecture
• Massive data storage systems
• +۶ مورد دیگر

Chia-Lin Yang is a Professor in the Department of Computer Science and Information Engineering at National Taiwan University's College of Electrical Engineering and Computer Science. He currently serves as Director of the Delta-NTU Joint Research Lab and maintains active leadership roles in multiple research initiatives. Professor Yang's research focuses on low-power embedded systems, high-performance processor architecture, and massive data storage systems. His current work explores storage systems for big data analytics, compute-in-memory architecture design, and AI-enabled IoT. His lab, the Embedded Computing Laboratory, investigates emerging memory technologies including ReRAM and their applications in neural network acceleration and processing-in-memory architectures. His recent publication trends show a strong focus on memory systems for AI acceleration, with significant contributions to processing-in-memory architectures, ReRAM-based neural network accelerators, and storage optimization for machine learning workloads. His work bridges computer architecture, memory systems, and AI hardware acceleration, addressing critical challenges in performance, power efficiency, and reliability. Professor Yang has received numerous prestigious awards including the 2018 Outstanding Electrical Engineering Professor award, two IBM Faculty Awards (2010, 2005), and the 2009 IEEE/ACM ISLPED Best Paper Award. As an active researcher, Professor Yang serves on multiple editorial boards including ACM Transactions on Computer Architecture and Code Optimizations, ACM Transactions on Embedded Computing Systems, and IEEE Transactions on Computer-Aided Design. He maintains leadership roles in major conferences including DAC and ISLPED, demonstrating his significant contributions to the computer architecture community. His Embedded Computing Laboratory provides research opportunities in cutting-edge areas of computer architecture and memory systems, with connections to industry through the Delta-NTU Joint Research Lab and Taiwan AI Labs.