Frederick Wong, PhD

Frederick Wong, PhD

Welcome to Frederick's page. This site is always under never-ending construction. Beware of land mines and RPGs...

Frederick currently serves as the Chief Architect of SafetyChain Software, Inc, an SaaS-based food safety & quality assurance (FSQA) online management company. Frederick's duties include providing technical and architectural designs and guidance, strategic technology planning, product development and roadmap planning.

Frederick's previous work includes co-inventing two United States Patents, designing and authoring the teaching materials of a senior computer architecture course for the Open University of Hong Kong. He also designed and built an online document authoring system, as well as a next-generation SaaS-based human resources service delivery system for Enwisen (acquired by Lawson, an Infor divison).

Frederick had also served as Director of Engineering and Principal Architect at SuccessFactors Inc., an online employee performance management company (an SAP company). His primary responsibilities included planning, validating and executing the technological strategies for SuccessFactors. He architected and deployed a 24x7 highly-scalable production environment using J2EE technology. Prior to SuccessFactors, Frederick served as Principal Architect and Founding Engineer at eALITY, Inc. While at eALITY, Frederick leveraged the knowledge and skills acquired in his academic career and applied them to resolving eALITY's technological challenges, creating a high performance and scalable application service cluster using J2EE technology.

Academically, as a member of the UC Berkeley's Networks of Workstations (NOW) project, Frederick designed and developed the communication system and components for the parallel computational cluster. The system comprised of low-cost commercially available workstations known as the NOW cluster. The parallel communication system he built based on the Message Passing Interface Standard facilitated the NOW cluster to be recognized as one of the most powerful supercomputers in the world in April 1997 - the world-first low-cost workstation cluster to be listed in the TOP 500 SuperComputers. Many core technologies developed during the NOW project were eventually commercialized and became the foundations of network-oriented systems used by companies and government organizations.

Dr Wong has more than 15 years of senior architectural and engineering management, 8 years of scientific research and over 30 years of system programming experience, with a focus in the areas of high performance parallel and distributed systems, as well as system and network architecture design. He received a Bachelor of Arts with double majors in Computer Science and Economics, a Master in Computer Science, and a Doctor of Philosophy in Computer Science from the University of California at Berkeley.

Doctor of Philosophy in Computer Science
"Leveraging Re-configurable Hardware for Parallel Computing"
University of California Berkeley (December, 2003)
Masters of Science in Computer Science
"A Comprehensive Study of Communication Performance and Scalability Using NAS Parallel Benchmarks on Berkeley NOW and SGI Origin 2000"
University of California Berkeley (December, 1999)
Bachelor of Arts with Majors in Computer Science (High Honors) and Economics
University of California Berkeley (December, 1996)
Chief Architect
Since Feb 2016
SafetyChain Software, Inc.
Duties include providing technical and architectural designs and guidance, strategic technology planning, product development and roadmap planning for a SaaS-based food safety & quality assurance (FSQA) management platform that serves global Food & Beverage companies, providing real-time compliance monitoring and auditing capabilities.
Principal Architect
Sept 2008 - Feb 2016
Enwisen, Inc., acquired by Lawson Inc., an Infor division
Designed and implemented an online document authoring and management system, as well as architected and implemented the next-generation SaaS-based human resources service delivery system. Integrated through XML publishing and XSLT transformation, both systems are used in tandem to provide a uniquely configurable content and service delivery platform.
Managing Director
Dec 2004 - Sept 2008
Falcon Technovations, Inc.
Designed and implemented an online work-order processing system for construction industries, integrated with financial institutions, local and state agencies for work-order retrieval, distribution, completion and approval life-cycle.
University Course Designer
Jan 2004 - Dec 2004
Open University of Hong Kong, School of Science and Technology
Designed the course materials for an undergraduate-level computer architecture class, including a 600-page manuscript that serves as the primary reading material. The course is designed to include the latest technological advances used in today’s computing platform.
Director of Engineering and Principal Architect
Apr 2001 - Dec 2002
SuccessFactor Inc., an SAP company
Architected, deployed and monitored a highly concurrent, 24x7 Application Services Provider (ASP) production environment using J2EE and OLTP techniques for an employee performance management application. Other duties include product planning, engineering and corporate IT management, and long term engineering and IT infrastructure development planning.
Principal Architect and Founding Engineer
Feb 1997 - Apr 2001
eALITY Inc.
Architected and deployed a highly concurrent 24x7 ASP production environment for a business process management application using cluster-based J2EE technologies. Duties include engineering management, software architectural development, and technologies exploration.
Computer Systems Engineer
Future Technology Group
Jun 1997 - Sept 1997
National Energy Research Scientific Computing Center (NERSC)
Ernest Orlando Lawrence Berkeley National Laboratory
Department of Energy, U.S. Government
Implementation and analysis of Message Passing Interface Standard using multiple threads and multi-protocol techniques for underlying transport layer using Active Messages.
Method and System for Similar Auction Identification
United States Patent, January 2009, Patent #7877298
Bryan Devlin, Frederick Wong and Mark Hill
Method, Medium, and Apparatus for Identifying Similar Auctions
United States Patent, January 2005, Patent #7493273
Bryan Devlin, Frederick Wong and Mark Hill
Computer and PC Design
Open University of Hong Kong, School of Science and Technology, 2004
Frederick Wong
Leveraging Re-configurable Hardware for Parallel Computing
Doctor of Philosophy in Computer Science, UC Berkeley, 2003
Frederick Wong
Leveraging Re-configurable Hardware for Efficient Parallel Data Processing
Submitted to International Parallel and Distributed Processing Symposium, France, 2003
Frederick Wong and David Culler
A Comprehensive Study of Communication Performance and Scalability Using the NAS Parallel Benchmarks on the Berkeley NOW and SGI Origin 2000
Master of Science in Computer Science, UC Berkeley, 1999
Frederick Wong
Building MPI for Multi-Programming Systems Using Implicit Information
The 6th European PVM/MPI Users' Group Meeting, Barcelona, Spain, 1999. Also appeared in: Recent Advances in Parallel Virtual Machine and Message Passing Interface, Series: Lecture Notes in Computer Science VOL 1697 (ISBN: 3-540-66549-8)
Frederick Wong, Andrea Arpaci-Dusseau and David Culler
Architectural Requirements and Scalability of the NAS Parallel Benchmarks
Proceedings of The International Conference of High Performance Computing and Communications (SuperComputing 99), Portland, Oregon, 1999
Best Student Paper Finalist (1st runner-up)
Frederick Wong, Richard Martin, Remzi Arpaci-Dusseau and David Culler
Design and Implementation of Parallel Virtual Processors Simulator
Research Report, UC Berkeley, 1998
Frederick Wong
Remote Sniffer Detection
Research Report, UC Berkeley, 1998
David Wu and Frederick Wong
Architectural Analysis of NAS Parallel Benchmarks 2.2 on SGI Origin 2000
Research Report, UC Berkeley, 1998
Frederick Wong and David Wu
Wormhole Routing Schedule
Research Report, UC Berkeley, 1998
Brent Chun, Frederick Wong and David Wu
Parallel Computing on the Berkeley NOW
The 9th Joint Symposium on Parallel Processing (JSPP'97), Kobe, Japan, 1997
David Culler, Andrea Arpaci-Dusseau, Remzi Arpaci-Dusseau, Brent Chun, Steve Lumetta, Alan Mainwaring, Richard Martin, Chad Yoshikawa and Frederick Wong
On the Usability of User-Level, All-software Distributed Shared Memory
Research Report, UC Berkeley, 1996
Tzu-Yi Chen and Frederick Wong
Managing the Economy of Hong Kong: A discussion on sustainable development of Hong Kong's economy with respect to the role of the Hong Kong Government
Research Report, UC Berkeley, 1996
Frederick Wong

GPG Public Key
SHA-1: 8b823ed27b2abdefcea67b3389d0285aa24401d8

-----BEGIN PGP PUBLIC KEY BLOCK-----
Comment: GPGTools - https://gpgtools.org
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=RgUZ
-----END PGP PUBLIC KEY BLOCK-----