Parallel Computing Professors and Supervisors in Taiwan

Robert HsuView profile

Professor

National Chung Cheng UniversityTaiwan

Robert Hsu is Chair Professor and Dean of the College of Information and Electrical Engineering at Asia University, Taiwan, and holds concurrent appointments as Professor at National Chung Cheng University. He serves as President of the Taiwan Association of Cloud Computing and Research Consultant at China Medical University Hospital. His research spans parallel and distributed computing , cloud and edge systems , AI , and medical applications , with over 350 publications in top venues like IEEE TPDS, IEEE TSC, and ACM TOMM. Editor-in-Chief of International Journal of Grid and High Performance Computing Founding Editor-in-Chief of International Journal of Big Data Intelligence Advisory roles in 10+ journals including IEEE Transactions on Cloud Computing His research focuses on cloud-edge collaboration , AI for medical imaging , IoT security , and big data analytics . Key projects include federated learning frameworks for multi-institutional healthcare, optimization techniques for UAV-assisted MEC, and blockchain-based security solutions. His 15 most recent articles highlight advancements in malware detection, resource orchestration in edge environments, and lightweight AI models for retail and rural applications. Scientific accolades include: Stanford University's World's Top 2% Scientists (2020-2023) Best Paper Awards at IEEE ICEIB 2023 and SysCom 2021 Over 25 grants from Ministry of Science and Technology and Ministry of Education Leadership roles as IEEE TCCLD Chair and Steering Committee member He has supervised 30+ PhD/Master's students , including Shih-Chang Chen (2010), Tai-Lung Chen (2010), and Nithin Melala Eshwarappa (2020). His laboratory focuses on edge computing , cloud systems , and AI-driven solutions for healthcare and urban infrastructure.

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Tsan-sheng HsuView profile

Research Professor

National Taiwan University (NTU)Taiwan

Tsan-sheng Hsu is a Research Professor at the Institute of Information Science (IIS), Academia Sinica in Taiwan. He has been a tenured full research fellow since June 2003, after serving as an assistant research fellow starting in 1993 and associate research fellow from 1997-2003. He also served as Deputy Director of IIS from 2002-2004 and Director of Academia Sinica Computing Center from 2008-2010. Since 2019, he has been Editor in Chief for the Journal of Information Science and Engineering. Dr. Hsu's educational background includes: Bachelor of Science in Computer Sciences from National Taiwan University (1981-1985), graduating first in class Master of Science in Computer Sciences from University of Texas at Austin (1990) Ph.D. in Computer Sciences from University of Texas at Austin (1993) Dr. Hsu's primary research interests focus on graph theory and its applications , where he investigates fundamental properties of graphs and develops algorithms for connectivity augmentation problems. His work in algorithm design, analysis, implementation and performance evaluation spans sequential, parallel, and distributed algorithms. In data-intensive computing , he explores data privacy protection, large-scale social network analysis, and computer Chinese chess. His research often bridges theoretical breakthroughs with practical applications in network reliability, statistical data security, and efficient computation. Dr. Hsu's publication record demonstrates a consistent focus on graph theory problems, particularly connectivity augmentation, graph searching, and distance-hereditary graphs. His work shows progression from theoretical foundations to practical applications, with an emphasis on developing efficient algorithms with provable performance guarantees. The majority of his publications appear in top theoretical computer science venues, reflecting his strong contributions to fundamental algorithmic research. Dr. Hsu has received several prestigious awards and honors: Bert Kay Dissertation Award from University of Texas at Austin (1993) Academia Sinica Research Award for Junior Research Investigators (2003) Phi Tau Phi Scholastic Honor Society membership (1985) MCD fellowship and IBM graduate fellowship during doctoral studies Dr. Hsu leads the Massive Data Computation and Management Lab at Academia Sinica, where he directs research on graph theory applications, algorithm design, and data privacy. His research has been supported by various projects including theoretical foundation work on graph augmentation and searching problems, as well as applied research in inference control, computer Chinese chess, and parallel computation. He has collaborated extensively with researchers from institutions including Northwestern University, National Tsing Hua University, and National Taiwan University.

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Ding-Yong HongView profile

Research Fellow

National Taiwan University (NTU)Taiwan

Ding-Yong Hong is an Associate Research Fellow at the Institute of Information Science, Academia Sinica , with over a decade of expertise in compiler optimization, dynamic binary translation, and parallel architectures. He has published in top-tier journals and conferences, including IEEE TPDS and ACM CGO. PhD in Computer Science from National Tsing Hua University (2013) His research focuses on AI compilers, virtualization, and parallel computing systems (multicores, GPUs, SIMD). He has received the Best Paper Award at IEEE ICPADS 2016 and delivered invited talks at Intel, Google, and HiPEAC conferences. Scientific Awards: Best Paper Award of IEEE ICPADS 2016

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Chuen-Lung ChenView profile

Professor

National Chengchi UniversityTaiwan

Chuen-Lung Chen is a Professor in the Department of Management Information Systems at National Chengchi University's College of Commerce in Taipei, Taiwan. He holds a Ph.D. in Industrial and Systems Engineering from Auburn University in the United States, with additional graduate and undergraduate degrees from Tamkang University and Chung Yuan Christian University in Taiwan. His research focuses on Applied Operations Research, Production and Operations Management, and Scheduling Theory and Applications . Professor Chen has developed numerous optimization algorithms and heuristics for solving complex scheduling problems in manufacturing and service industries, with applications extending to financial engineering and knowledge management systems. His work bridges theoretical operations research with practical business applications, particularly in production planning and resource allocation. Analysis of his recent publications reveals a consistent focus on flow shop scheduling problems, with increasing applications to financial modeling and knowledge integration systems. His research methodology combines traditional operations research techniques with evolutionary computation approaches like genetic algorithms and particle swarm optimization. Distinguished Professor award (2016-2017, 2015-2016, 2012-2013) Senior Excellent Teacher Award (10 years, 2010) Academic Research Excellence Award (2010) Multiple Internationalization Research Excellence Awards (2007-2008) Outstanding Service Teacher Award (2008) Outstanding Teaching Award (2002) MOST First-Class Research Award (1990) Professor Chen has secured substantial research funding through Taiwan's Ministry of Science and Technology (MOST), directing numerous projects on scheduling algorithms, financial modeling, and management information systems. He has held significant administrative roles including Department Chair (2011-2014), Deputy Dean of the College of Commerce (2008-2016), and Director of the International MBA Program (2011-2016). His leadership extends to directing international programs and contributing to university-wide initiatives for English-taught degree programs. His work demonstrates a sustained contribution to both theoretical advancements in operations research and practical applications in manufacturing and financial systems, with a research trajectory showing increasing interdisciplinary connections between operations management and information systems.

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Gen-Huey ChenView profile

Professor

National Taiwan University (NTU)Taiwan

Gen-Huey Chen is a Distinguished Professor in the Department of Computer Science and Information Engineering at National Taiwan University, where he has served since 1987 (Associate Professor 1987-1992, Professor since 1992). He previously held leadership roles as Dean of the College of Science and Technology (2001-2005) and Department Chair (2001-2002) at National Chi Nan University. Education Ph.D. in Computer Management Decision, National Tsing Hua University, 1987 B.S. in Computer Science and Information Engineering, National Taiwan University, 1981 Research Interests Professor Chen's work centers on Graph Theory , Combinatorial Optimization , and Algorithm Analysis and Design , with significant contributions to discrete mathematics and network theory. His research bridges theoretical foundations and practical applications, particularly in structural graph problems and wireless network protocols, emphasizing efficient algorithmic solutions for complex computational challenges. Publications Trends His 2007-2009 publications reveal a cohesive research trajectory focused on graph-theoretic applications in networking. Key patterns include structural analysis of specialized graphs (chordal/circular-arc), fault tolerance in multiprocessor topologies (grids/tori), and bandwidth-optimized routing in mobile ad-hoc networks. These works consistently apply combinatorial optimization to solve real-world networking constraints while advancing theoretical graph algorithms. Advising and Grants No specific information regarding student advising or research grant funding is provided in the source material. Laboratory He directs the Discrete Algorithm Lab at National Taiwan University, which specializes in discrete algorithm development and wireless network protocol research.

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Shih-Hao HungView profile

Professor

National Taiwan University (NTU)Taiwan

Shih-Hao Hung is a Full Professor in the Department of Computer Science and Information Engineering at National Taiwan University, where he has served since 2005. He established the Performance, Applications and Security Lab (PAS Lab) and previously served as Section Director in the Computer and Information Network Center of NTU from 2012 to 2016. Before joining NTU, he worked for 5 years at Sun Microsystems in the San Francisco Bay Area. Professor Hung's research focuses on computer architecture, parallel processing, performance evaluation, and optimization. His work spans embedded systems, mobile applications, cloud computing, business applications, and information security. Current research interests include heterogeneous and multicore system architecture, active utilization of open source system software, and high performance deep learning systems. He has published numerous papers on GPU acceleration, heterogeneous computing, malware detection, and system performance optimization. His research has resulted in several notable publications and two Best Paper Awards (RACS 2014 and RACS 2017). Professor Hung maintains strong industry collaborations with leading technology companies including IBM, Intel, AMD, NVIDIA, ARM, MediaTek, and Foxconn, focusing on practical applications of advanced computing technologies. Best Paper Award at RACS 2017 for Program Analysis research Best Paper Award at RACS 2014 for Android malware detection framework Extensive publications in performance evaluation and optimization Significant industry collaborations across multiple technology sectors Professor Hung is known for his practical approach to computer science education and research, emphasizing the importance of bridging academic knowledge with real-world applications. His blog frequently discusses issues in computer science education, system architecture, and the development of skilled professionals in Taiwan's technology sector.

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Chun-Yi LeeView profile

Professor

National Taiwan University (NTU)Taiwan

Chun-Yi Lee serves as a Professor in the Department of Information Engineering at National Taiwan University, where he leads research at the intersection of robotics, artificial intelligence, and hardware systems. His research portfolio spans six core domains: Intelligent robotics systems development Enhanced learning methodologies for AI training Computer vision applications Virtual-reality training environments with digital twin integration Parallel computing architectures Electronic circuit design automation The research laboratory maintains an active online presence at elsalab.ai , though the formal laboratory name remains unspecified (listed as TBD in source materials). Professor Lee conducts office hours by individual email appointment and is accessible through his primary contact cylee@csie.ntu.edu.tw for research collaboration and graduate supervision inquiries.

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Yuh-Dauh LyuuView profile

Professor

National Taiwan University (NTU)Taiwan

Professor Yuh-Dauh Lyuu is a distinguished academic holding joint appointments at National Taiwan University's Department of Computer Science and Information Engineering and Department of Finance. As an Academician of Academia Sinica, he represents the highest level of scholarly achievement in Taiwan. His career spans both prestigious academic institutions and Wall Street, having served as Assistant Vice President at Citicorp Securities before joining academia full-time. Professor, Graduate Institute of Networking and Multimedia (2009-present) Professor, Department of Finance (2000-present) Professor, Department of Computer Science and Information Engineering (1999-present) Adjunct Associate Professor, National Chi-Nan University (1996-present) Former Department Chairman and Associate Dean at NTU Professor Lyuu's research uniquely bridges theoretical computer science and computational finance. His work spans parallel and distributed algorithms, computational complexity, cryptography, and their applications to financial problems including risk management and derivative pricing. His interdisciplinary approach has led to the development of practical financial software systems while maintaining theoretical rigor. As director of the Computational Theory and Financial Computing Laboratory, Professor Lyuu has mentored numerous students who have gone on to academic positions at institutions like Yuan Ze University, National Yang Ming Chiao Tung University, and Soochow University. His educational background includes a Ph.D. from Harvard University under Michael O. Rabin, with industry experience at NEC Research Institute and Citicorp Securities before joining academia. Academician of Academia Sinica (highest academic honor in Taiwan) Author of influential work in parallel processing and financial computing Mentor to multiple faculty members at Taiwanese universities Professor Lyuu teaches across both computer science and finance disciplines, offering courses from undergraduate Discrete Mathematics to graduate-level Financial Engineering and Computation. His dual appointments reflect his commitment to interdisciplinary research that connects theoretical computer science with practical financial applications, making significant contributions to both fields through his unique perspective.

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Chia-Lin YangView profile

Professor

National Taiwan University (NTU)Taiwan

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.

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Fang YuView profile

Associate Professor

National Chengchi UniversityTaiwan

Dr. Fang Yu is an Associate Professor at the Department of Management Information Systems, National Chengchi University, specializing in software security, formal verification, and string analysis. They hold a Ph.D. in Computer Science from the University of California, Santa Barbara. Research Expertise: Dr. Yu focuses on cybersecurity, formal methods for software verification, and machine learning applications in data clustering and adversarial example detection. Their work bridges theoretical computer science with practical security solutions. Publication Trends: Recent articles address biomedical data clustering ( scGHSOM ), explainable AI ( XFlag ), and adversarial defense mechanisms. Topics span bioinformatics, security verification, and fairness testing in neural networks. Awards: 資深優良教師(10年) (2020, National Chengchi University) 國科會研究獎勵 (2019, National Science Council, Taiwan) Projects: Principal Investigator for 15+ grants from Taiwan's National Science and Technology Council and Ministry of Education, focusing on AI security, IoT verification, and financial technology.

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