Raman Kannan

  • Adjunct Management

Raman is a an experienced technology practitioner in Financial Services domain and an avid academic. Raman is a thinker and doer. Raman is passionate about teaching empirical subjects including Data Management, Architecture and Innovation. He is a Columbia Business School alum with a PHD in Physics (WVU). Raman has held numerous positions with various MNCs in Financial Services and currently he is consulting for a Derivatives Processing Group.


Columbia University, 2005

MBA, Business Administration

West Virginia University, 1988

Master of Science, Computer Science

West Virginia University, 1987

Doctor of Philosophy, Physics

Rosenblatt Securities

Chief Technology Officer

Managed all trading infrastructure for Rosenblatt.

From: July 2007 to December 2009

Five Mile Capital Partners


Managed SOA based STP stack for Futures for the fund.

From: March 2005 to July 2007

GovPX, Inc.

Manager, Research Technology

Managed fixed income ticker plant and market data distribution infrastructure.

From: June 1998 to April 2004

Monmouth University

Graduate Faculty, Software Engineering

Developed curriculum and taught multiple courses over two campus -- West Long Branch and FAA, Atlantic City

From: August 1994 to May 1998



Engineered Derivative Processing System components using model based programming.

From: December 1992 to August 1994

Concurrent Engineering Research Center, West Virginia University

Research Associate

Lead a team of software engineers to engineer a distributed computing framework for concurrent engineering, as part of DARPA Initiative in Concurrent Engineering (DICE Project).

From: August 1988 to June 1992

Journal Articles

IEEE Expert 1992 -- Distributed AI Shell Object Oriented Frameworks -- Fayad and Schmidt See http://bluehawk.monmouth.edu/monmouth/academic/dna/res10.htm


Other Publications

See: http://slideshare.net/rk2153/presentations


Research Interests



General/Collaborative Research

  • Cognitive Computing: 
    • Image Understanding
    • Anamoly Detection