Dr. Gursel Serpen
RESEARCH INTERESTS
- Intelligent and adaptive systems (wireless sensor networks)
- Design and development of "smart/intelligent algorithms, rule based systems, and agents" (knowledge based systems)
- Empirical model development through input/output data for blackbox systems or processes (machine learning)
- Classifier development through empirical means (learning from data) (pattern recognition, neural net and machine learning)
- Probabilistic knowledge base/inferencing model construction from data (Bayesian belief network)
- Hybrid intelligent systems for regression (linear and nonlinear) and classification: ensembles, Computation complexity analysis and management of algorithms (space and time cost of algorithms)
- Design and development of intelligent algorithms for real-time and/or distributed environments
For more details, background information, and publications please visit Dr. Gursel Serpen's scholars page.