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Strategies & Market Trends : Anthony @ Equity Investigations, Dear Anthony, -- Ignore unavailable to you. Want to Upgrade?


To: mst2000 who wrote (68055)3/10/2001 11:04:20 PM
From: Rob W  Respond to of 122087
 
Don't forget Richard Yin.



To: mst2000 who wrote (68055)3/10/2001 11:12:23 PM
From: Rob W  Respond to of 122087
 
Don't forget Jeff either, not too shabby for a mid-level guy.

Jeff O. Fossum

Jeff O. Fossum is Senior Vice President, Systems, for Ashton
Technology.

Mr. Fossum leads all system engineering and integration activities for
internal, external, and joint development. He also supports marketing,
training, and operations in connection with new products and services.

Mr. Fossum leads the design, implementation, integration, testing, and
operation of Ashton’s intelligent matching systems, including the
eVWAP™ trading system which was completed in April 1997. He
led the successful development of the Universal Trading System, a highly
secure, fault tolerant, modular, and expandable client-sever
infrastructure, which hosts eVWAP and future intelligent matching
products. Mr. Fossum and his team designed and implemented a highly
secure wide area network (WAN) that allows authenticated users to
submit orders within seven seconds from anywhere in the world and is
expandable to Internet/Extranet access. Mr. Fossum implemented the
central database including the matching algorithms. In addition, he
established system interfaces to the Philadelphia Stock Exchange
(PHLX) PACE system, the national market data feeds, and PHLX
settlement and clearing systems. Mr. Fossum has worked on
requirements and designs for future products, briefed and demonstrated
eVWAP to a variety of audiences, and acts as a liaison to the PHLX on
technical matters.

Prior to joining Ashton, Mr. Fossum was a Senior Associate at
Booz·Allen and Hamilton Inc. During his nine years at Booz· Allen, he
helped establish and ultimately led the 50 person Advanced
Computational Technologies Practice. Mr. Fossum and his staff were
responsible for marketing, business development, and successful
performance on over $10 million of federal and commercial contract
work involving complex system design and implementation and the
application of advanced computational technologies. For the military and
intelligence community, he designed and developed advanced signal
and speech processing and recognition systems. Mr. Fossum led the
development of a commercial neural network development system with
Motorola, Inc. This client-server system provided automatic parallel code
generation from a graphical specification for an arbitrary number of
64-processor computer chips yielding real time execution for neural
network applications. He also led the development of three large
multimedia systems for federal law enforcement agencies and the
military. These advanced systems integrated image, video, speech,
fingerprint, and text capture into secure, distributed database
environments that provided search and retrieval using advanced pattern
recognition techniques for text, fingerprint, speech, and image data. Two
of these systems received national recognition from their respective
federal agency clients. In 1991, Mr. Fossum was part of a team that won
the highly coveted Booz·Allen Professional Excellence award.

Prior to joining Booz·Allen, Mr. Fossum was an artificial intelligence (AI)
software engineer with Loral Advanced Projects in Reston, VA, where he
developed neural network-based radar identification systems. Prior to
Loral, Mr. Fossum was an AI software engineer with Contel Spacecom in
Gaithersburg, MD where he developed expert system-based, satellite
control software for NASA’s Tracking and Data Relay Satellite System.
Prior to Spacecom, Mr. Fossum was a computer scientist with NASA’s
Goddard Space Flight Center in Greenbelt, MD where he developed
ground support and flight software for sounding rockets and space
shuttle-based satellite payloads.

Mr. Fossum is a recognized expert in the field of neural networks and
has been a lecturer to government, industry, and academia, including the
Artificial Intelligence Institute in Ulm, Germany. He has authored or
co-authored several scientific papers and publications. He received a
Bachelor’s degree in Computer Science from North Dakota State
University and a Master’s degree in Computer Science from the George
Washington University in Washington, DC.