Dr. Jesús-Emeterio Navarro-Barrientos

Course Topics: Knowledge-based Systems (Wissensbasierte Systeme): Algorithms Complexity, Stochastic Optimization, Data Mining, Expert Systems, Reinforcement Learning and Neural Networks.

Research and development in moovel maps, search engine optimization.

Modul: Algorithms and Optimizations of the Master in Medieninformatik. Algorithms Complexity, Sorting, Searching, Dynamical Programming, Probablistic Algorithms, Evolutionary Algorithms and Machine Learning Algorithms.

Research and Development in: Ambient Assisted Living, Server/Client communication via TCP/IP, wireless sensor communication and Data-Mining. Programming Tasks in Qt C++, C# and SQL.

Modeled and implemented agent based computer simulations and data mining algorithms for the extraction of decision making strategies and the prediction of technology adoption in the semiconductor industry. Joint project with Intel Corporation. Modeled and implemented dynamical systems for adaptive behavioral interventions relying on control systems engineering principles with application to modeling of daily fluctuations of human weight change.

development of text-mining algorithms

Software programmer developing text mining algorithms for sentence clustering in Java.

Software programmer developing graphical interfaces in Visual C++ and algorithms for thin film measurement.

Dynamics of constant investment proportions in investment scenarios modeled with multiplicative random processes. Genetic Algorithms for controlling investment proportions in periodic environments.

Generalized and Classical Probabilistic Graphical Models for the analysis of binary data and its application to analyse internet server log files.

A Language to Specify Stochastic Petri Nets.