Dr. Wenwey Hseush is a co-founder of BigObject. He is one of the inventors of In-Data Computing model.
Hseush served as First VP at Lehman Brothers and VP at PaineWebber in 1993-1995. In 1995, Hseush joined TimeCruiser Computing, a developer of innovative community and enterprise portals for the education marketplace. Afterwards, he joined Computer Associates as VP of Advanced Technology, overseeing operations for all Computer Associates invested joint venture companies in Asia. In 2000, Hseush served as the CEO of Bizprise, a Computer Associates joint venture company in Taiwan.
Since late 2011, Hseush led a team of computer scientists to work on big data computing. The team was spun off from eBizprise in the beginning of 2014.
Hseush received his Ph.D. degree from Columbia University, New York, in Computer Science.
Dr. YiCheng Huang is a co-founder of BigObject, and currently serves as the CTO of BigObject. He is the key architect for BigObject analytics platform. Previously, Huang was a researcher at Asus’s Da Vinci innovation laboratory where he was involved with several critical projects. He also led a team working on a prototype of ARM-based notebook and fast boot mechanism for linux. Prior to Asus, Huang was an assistant professor in the department of computer science and information engineering at National Taiwan Normal University. Dr. Huang received his Ph.D. in computer science from Cornell University. As part of his doctoral thesis, he developed a learning system for constraint-based planning.
Dr. Eugene Lai is a co-founder of BigObject.
Since 2012, Eugene Lai joined the BigObject team as a senior engineer and researcher. He worked on the BigObject core engine and application development. Prior to BigObject, Eugene was a research assistant in Academia Sinica, Taiwan. He received his Ph.D. degree from National Chiao Tung University in computer science in 2012. He worked on computer vision research domain and proposed a game-theory based surveillance system to solve a pan–tilt–zoom camera network coordination problem.