Research

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I am a faculty member of the Machine and Computational Learning (MaCoL) and the Theory groups at RPI. My research interests deal with learning situations where an explicit model of the environment is not known, yet some form of an optimal or near-optimal action needs to be taken. Usually, this involves taking an action of some sort, based upon a data set representing the task one is trying to learn. The three main flavors of learning are Supervised, Unsupervised and Reinforcement, and we are interested in them all.

Research Interests:

• Learning   (selected publications)

  			Statistical learning theory and pattern recognition.
  			Learning models and learning algorithms
  			Reinforcement learning
  			Unsupervised learning and probability density estimation.
  			Optimization techniques and learning applied to combinatorial problems

• Computational finance   (selected publications)

  			Stochastic processes
  			Trading strategies and model callibration
  			Pricing

• Computational biology   (selected publications)

  			String algorithms
  			Statistical data analysis
  			Protein folding

• Routing and Scheduling in Communication Networks   (selected publications)

  			Optimal routing path selection to minimize power consumption/routing time.
  			Bufferless scheduling.
  			Game theoretic aspects of routing/scheduling.

• Sensor Networks   (selected publications)

  			Communication Protocols in Sensor Networks
  			Localization
  			Game theoretic aspects of distributed systems.
  			Connectivity, coverage and power consumption.

• Modeling of Social Comunication and Information Networks.   (selected publications)

  			Modeling, simulation, prediction and control of social communication networks.
  			Identification of hidden structure such as hidden groups.
  			Reverse engineering society dynamics from observed macroscopic behavior.
  			Information retrieval on the WWW and other social networks.

• Other Interests   (selected publications)

  			Cake-cutting / resource allocation.
  			Data mining the galactic sky.

Publications (chronological).

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Program Committees:

• International Conference on Computational Intelligence and Computing (CIS):2005,2006.
  
• Conference on Computational Intelligence for Financial Engineering (CIFEr): 2003.
  
• International Data Engineering and Automated Learning (IDEAL): 2002,2003,2004,2005,2006.
  
• International Conference on Machine Learning and Cybernetics (ICMLC) 2003,2004.
  
• ICSC International Congress on Computational Intelligence Methods and Applications (CIMA) 2005.
  
• IADIS International Conference on Applied Computing: 2005,2006, 2007.
  
• International Symposium on Neural Networks (ISNN): 2006, 2007.
  
• International Conference on Neural Information Processing (ICONIP): 2006.
  

Editorships

• Associate Editor, Neurocomputing: 2004-.
• Guest Associate Editor, IEEE Transacrions on Neural Networks: May 2002.
• Guest Associate Editor, International Journal of Neural Systems: 2005 (Special Issue of IDEAL 2005).

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Theory Group

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