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Postdoctoral Fellow
I am a postdoctoral researcher in the NMRFAM Center of the Biochemistry Department at the University of Wisconsin—Madison working on developing new methods for understanding and determining protein structures/function using NMR and all other available data. My dissertation work was done in the Department of Mathematics at the University of Wisconsin-Madison. My research interest is in information geometric methods and algorithms, alternative computing principles, and applications (Molecular and Quantum computation). CVhttp://www.nmrfam.wisc.edu/~eghbalni/ PublicationsAssadi A and Eghbalnia H. Geometric Models in Object Recognition. Invited book chapter, Computational Geometry for Pattern Recognition, Computer Vision, Neurocomputing and Robotics. Springer Verlag, Editor: Eduardo Baryo-Corrochanona, 2003. Assadi A and Eghbalnia H. A Geometric Method for Investigating the Nonlinear Dynamics of the Human Brain from Analysis of Functional MRI Data. Neurocomputing, in press. Assadi A, Eghbalnia H and Palmer S. A Learning Theoretic Approach to Perceptual Geometry in Natural Scenes. J. of Neurocomputing, Vol. 38-40: 1077-1085, 2001. Assadi A and Eghbalnia H. Recurrent Probabilistic Dynamics: Applications to Face Recognition. J. of Neurocomputing, Vol. 38-40: 1067-1075, 2001. Eghbalnia H and Assadi AH. A Computational Model of Visual Perception of Surfaces. To appear in IEEEE IJCNN 2003, based on invited lecture in IEEE special session on Geometric Neurocomputing. Eghbalnia H, and Assadi AH. Quantum Information Processing and Learning. SPIE Quantum and Molecular Computing, 2002. Eghbalnia H and Assadi AH. An Application of Support Vector Machines and Symmetry to Computational Modeling of Perception Through Visual Attention. J. of Neurocomputing, 38-40: 1193-1201, 2001. Eghbalnia H and Assadi AH. Geometric Methods in Nonlinear Analysis of Data for Brain Imaging. Proceedings of the SPIE, The International Society for Optical Engineering, 4476: 145-153, 2001. Fallahati D, Backonja M, Eghbalnia H, and Assadi AH. Dynamic PCA for Network Feature Extraction in Multi-electrode Recording of Neurophysiological Data in Cortical Substrates of Pain. J. of Neurocomputing, 46: 401-405, 2002. Pasha S, Eghbalnia H, and Assadi A. Dynamics
and Robustness for Singular Value Decomposition: Application to Face Recognition.
Proceedings of the SPIE, The International Society for Optical Engineering,
Vol. 4476: 166-174, 2001. Search for other publications by Hamid Eghbalnia (Pub Med) |
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