Skymizer, sky-high optimization

Jim graduated from the Department of Electrical Engineering of National Taiwan University in 1981 and obtained a master's degree in electrical engineering from the University of California, Santa Barbara. He has numerous years of experience in the ASIC/CAD field. During his time in the United States, he worked for LSI Logic and Toshiba and founded ASICtronix Solutions.

From 1992 to 2003, he was responsible for design services and emerging customer groups in TSMC North America. He returned to Taiwan in 2003 and served as the president of Global Unichip Corporation for more than 13 years. During this period, he transformed the company from a local small company to the largest design service company in the world. He successfully led the company to go public in 2006, and was awarded National Outstanding Manager Award in 2009.

Luba Tang received his M.S. in computer science in only one year from National Tsing-Hua University, Taiwan. He has been a Ph.D. student in the National Tsing-Hua University computer science department since 2007. At the same time, he has been working in the compiler groups of Marvell, Inc. and MediaTek, Inc. since 2010.

His research interests include electronic system level (ESL) design and compilers. During his career, he has focused on iterative compilers, ahead-of-time compilers, link-time optimization, electronic system-level simulation, and electronic system-level design. His most recent professional focus is on dynamic linking and link-time optimization. He was the chief programmer of the Starfish DSP simulator, the original writer of the Marvell iterative compiler, and the software architect of MCLinker and ONNC.

William received his Master’s degree from the Department of Electrical and Computer Engineering, University of Massachusetts, Amherst in 1993 and obtained his EMBA degree from University of North Carolina, Chapel Hill in 2004. He spent 20+ years in the U.S. building system level products from the early days at NeXT Computer to later days at Apple, contributing to the core technology of iOS and MacOS.

William was recognized as the Global Top 100 Leaders in Technology in 2021 when he served as CTO at Foxconn (HonHai) Technology Group. William spearheaded technology strategies in Electric Vehicles, Robotics, and AI. His crowning achievement was the design and launch of the MIH Open EV Platform, dubbed the "Android of EV”, showcasing William's foresight in shaping the future of automotive technology.

At Skymizer, William's strategic vision was instrumental in pivoting the company's focus towards AI infrastructure.

Dr. Kuang-Chih Liu (KC Liu) is a technology leader specializing in system architecture, AI acceleration, and semiconductor design. He holds a Ph.D. in Computer Engineering from National Tsing Hua University, Taiwan, with expertise in parallel computing, vectorization algorithms, and AI hardware/software co-design.

Currently, he is Senior VP of Sales at Skymizer, driving business development across applications, algorithms, architectures, and ASIC design. He has led compiler integration for PyTorch, TensorFlow, and ONNX while advancing ML benchmarking and compute-in-memory solutions for LLMs.

He also serves as an Executive Committee Advisor for the RISC-V Taiwan Alliance, fostering industry-academic collaboration. Previously, he held leadership roles at Foxconn, MediaTek, ITRI, and Infineon, contributing to AI-driven manufacturing, on-device AI, cloud virtualization, and networking.

Dr. Liu holds multiple U.S. patents in networking, encryption, and signal processing. He has published research on AI acceleration and system architecture and co-authored books on x86 assembly and UNIX programming.

Wen-Han graduated from the Department of Electrical Engineering of National Taiwan University in 1981 and subsequently obtained a master's degree in electrical engineering from the Netherlands in 1985. Thereafter, he earned a doctorate in computer science from the University of Washington in the United States in 1989. Regarding his classic academic papers, he won the Best Paper Award of ACM SIGMETRICS, the Best Paper Award of ACM/IEEE ISCA, the Most Influential Paper Award, and IEEE Fellow.

In 1991, Wen-Han joined Intel Corporation, engaged in designing and analyzing the Intel Pentium Pro platform architecture, and contributed critically to developing the company's Intel Xeon processor product line, making the world's most advanced technology popularized. With his excellent technical research, development, management, and communication skills, he was promoted to the vice president of Intel Corporation and the executive director of Intel Labs in 2013.

Wen-Han entered the top leadership team of Intel Corporation, becoming a model for Chinese tech industry leaders and personnel. In recognition of his outstanding technical strength and contributions, Intel awarded Wen-Han an honorary senior academician in 2015. This is Intel's highest-level technical title, and the first since its establishment, which is of great significance.

After graduating from the Massachusetts Institute of Technology, Yu-Ting joined McKinsey as a strategic consultant in 1995 and subsequently participated in various industrial strategic planning work in the Greater China and Southeast Asian markets. Thereafter, he joined Microsoft as a product technical marketing, planning, and R&D work for over 20 years.

In 2015, Yu-Ting spawned the first batch of Microsoft cloud artificial intelligence services: Azure Cognitive Services. Notably, during the following year, he single-handedly facilitated Microsoft's acquisition of SwiftKey, an artificial intelligence mobile keyboard app worth hundreds of millions of dollars. In the following years, he led the team to make SwiftKey the most user-friendly mobile app in Microsoft's history.

From 2018 to 2020, Yu-Ting served as the global senior vice president of Microsoft Cloud and led the computer vision R&D team in Europe, Asia, North America, and Latin America. He is currently the global senior vice president of Microsoft Technology and Research, responsible for Microsoft's artificial intelligence and machine learning technology strategy and planning.