Edward Tsang

BBA, MSc, PhD

Co-founder and Deputy Director (March 2003 to September 2009), Centre for Computational Finance and Economic Agents (CCFEA) at University of Essex
Founding Member and Deputy Director (from February 2008), Computational Intelligence Centre (CIC) at University of Essex
Professor, Department of Computing and Electronic Systems at University of Essex
Founding Chair, IEEE Computational Finance and Economics Technical Committee, 2004 & 2005


Editorialship:
CONSTRAINTS, published by Springer
Journal of Scheduling, published by John Wiley & Sons, Ltd.
IEEE Transactions on Evolutionary Computation
Intelligent Systems in Accounting, Finance and Management
    (Special Issue on Risk Analysis in Complex Systems: Intelligent Systems and Finance)
International Journal of Automation and Computing
    (Special Issue on Computational Intelligence in Enterprise)
International Journal of Applied Evolutionary Computation

Research:

Constraint Satisfaction



Computational Finance

Selected Projects:

GENET (GENET is a neural network approach to constraint satisfaction)
Guided Local Search (GLS) (GLS is a general-purpose meta-heuristic method)
Guided Genetic Algorithm (GGA) (GGA applies GLS principles in Genetic Algorithm)
Adaptive Constraint Satisfaction (ACS) project (Changing search strategies dynamically)
Computer-aided Constraint Programming (CACP) (Modelling in constraint satisfaction)
Chance Discovery (Machine learning in situations where target instances are rare)
Economic Wind Tunnels (modelling and testing new markets, policies and strategies)
Flexible Workforce Management (market-based multi-objective scheduling)
The EDDIE Project (EDDIE is a genetic programming tool for financial forecasting)
Automatic Bargaining (Constraint-directed co-evolutionary in game theory)
 

Book contribution: Staff Empowerment in Service Chain Management 2008

Book contribution: Local Search in Handbook of Constraint Programming 2006

Book: Foundations of Constraint Satisfaction 1993

Student Resources:
Constraint Satisfaction: basic information / Tutorial
Computational Finance: course material from Centre for Computational Finance and Economic Agents (CCFEA)
Guides for preparation for your PhD Viva
For non-academic problems, advices are available from Professional Conselling services.
Contacts / Photos / Quotes / Profile


BRACIL Home Page Constraint Satisfaction & Optimization Computational Finance & Economics

Computational Intelligence Determines Effective Rationality