Dr. Steve Yang holds a Ph.D. in Systems Engineering from University of Virginia with concentration on Financial Engineering. His current research interests include modeling algorithmic trading behavior, financial trading and information fraud detection, and agent based financial market simulation. He also received a M.E. degree in Engineering Management from the University of Virginia and a M.S. degree in Computer Science Application from Virginia Tech. He graduated at the top of his class with a B.S. degree in Aerospace Engineering from the Beijing Institute of Aeronautics and Astronautics.
Dr. Steve Yang has worked with several major federal financial regulators such as, the Securities and Exchange Commission (SEC), the Commodity Futures Trading Commission (CFTC) and Treasury in the capacity as either a research consultant or system architect. As an expert in modeling High Frequency Trading strategies, he provides consulting services to the Chief Economist Office and the Division of Enforcement at the Commodity Futures Trading Commission in Washington DC. Prior to joining Stevens, Dr. Steve Yang spent 6 years at Northrop Grumman Corporation working as a system architect and strategic thought-leader in financial information systems.
Background and Early Life
Doctor of Philosophy, University of Virginia, USA.
Systems Engineering, 2009 – 2012.
Master of Engineering, University of Virginia, USA.
System Engineering/Management, 2007 – 2008.
Master of Science, Virginia Polytechnic Institute and State University, USA.
Stevens Institute of Technology, Hoboken, NJ.
Assistant Professor, June 2012 – Present.
Northrop Grumman Corporation, Reston, VA.
System Architect, April 2004 – June 2012.
Commodity Futures Trading Commission
Research Consultant,2010 – 2012.
Development Manager, June 1999 – April 2004
Engineer, Head of R&D and New Product Development, May 1996 – June 1999
Life at Stevens
Master's Thesis Students
Algorithmic trading strategies, behavioral finance, trading behavior/mathematical modeling, system optimization and fraud detection, and agent based financial market simulation.