Narges Bani Asadi Ph.D. candidate Electrical Engineering Stanford University Advisor: Prof. Wing H. Wong Co-Advisor: Prof. Teresa H. Meng

Contact Information

Education

• Ph.D. Candidate, Electrical Engineering, Stanford University, 2006-present
  


• M.S., Electrical Engineering, Stanford University, 2006
  


• B.S., Computer Engineering, University of Tehran, Tehran, Iran 2004
  

Research Interests

• Reconfigurable Computing
  


• Machine Learning, Probabilistic Modeling
  


• Computaional Biology, Systems Biology, Personalized Medicine
  

Publications

• N. Bani Asadi, T. H. Meng, and W. H. Wong, "Reconfigurable Computing for Learning Bayesian Networks", Proceedings of 16th international ACM/SIGDA symposium on Field programmable gate arrays, Monterey, CA, 2008.
  


• N. Bani Asadi, I. Rish, K. Scheinberg, D.Kanevsky, B. Ramabhadran, "A MAP Approach to Learning Sparse Gaussian Markov Networks",IEEE International Conference on Acoustic, Speech and Signal Processing, 2009.
  


• K. Scheinberg, N. Bani Asadi, I. Rish, "Sparse MRF Learning with Priors on Regularization Parameters", IBM Research Report, June 2009..
  


• R. A. Reijo Pera, N. Bani Asadi et al, "Gene Expression Profiles of Human Inner Cell Mass Cells and Embryonic Stem Cells", Journal of Differentiation, Volume 78, Issue 1, July 2009, Pages 18-23.
  


• B. Choi, N. Bani Asadi,and W. H. Wong, "Efficient Learning of Gaussian Networks",In prepration.
  


• H.Kakavand, N. Bani Asadi, S. Nagel, "A Statistical Study of Momentum Runs in Financial Markets: Size, Trading Horizon, and Reputation" , in preparation for Journal of Behavioral Finance, 2009.
  


• W. Bridewell, N. Bani Asadi, P. Langley, and L. Todorovski, "Reducing overfitting in process model induction", ICML, Bonn, Germany, 2005.
  

Invited Talks

• International Symposium on Field-Programmable Gate Arrays, "Emerging Application Domains: Systems Biology", February 2009 .
  


• Intel, Microarchitecture Research Lab, "Reconfigurable Computing for Personalized Medicine", October 2008.
  


• IBM T.J. Watson Research Center, Computational Biology Department, "Learning Sparse Markov Networks in High Dimensional Problems with Application to fMRI Analysis", September 2008.
  


• NextBio, "Reconfigurable Computing for Systems Biology", April 2008.
  


• Stanford University Integrative Cancer Biology Program, "Bayesian Structure Learning on Berkeley Emulation Engine 2", June 2007.
  

Links

• Stanford University
  


• Stanford EE Department
  


• Stanford Bio-X Program
  


• Wong Lab
  


• University of Tehran
  



• Pictures of Iran   (1)   (2)


• Persian Poetry:   (1)   (2)


• Persian Student Association at Stanford University