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Ehsan Nazerfard

PhD Candidate
Center for Advanced Studies in Adaptive Systems (CASAS)
Office: EME 206 Spokane Street

School of Electrical Engineering and Computer Science
Washington State University
E-mail: nazerfard (AT) eecs DOT wsu DOT edu

Educations

Curriculum Vitae (PDF)

:: Educations

M.S.: Computer Engineering, major in Artificial Intelligence, Sharif University of Technology, 2006.
B.S.: Computer Engineering, major in Software Engineering, Amirkabir University of Technology, 2003.

:: Research

My research interests lie mainly in the following areas:

Machine Learning
Probabilistic Graphical Models
Data Mining
Application: Context-aware Computing

:: Publications

E. Nazerfard and D. Cook, Using Bayesian Networks for Daily Activity Prediction, AAAI Workshop on Plan, Activity and Intention Recognition (PAIR), Technical Report, 2013.

E. Nazerfard and D. Cook, Bayesian Networks Structure Learning for Activity Prediction in Smart Homes, Proceedings of the International Conference on Intelligent Environments (IE), pp. 50-56, 2012.

E. Nazerfard, P. Rashidi, and D. Cook, Using Association Rule Mining to Discover Temporal Relations of Daily Activities, Proceedings of the International Conference on Smart Homes and Health Telematics (ICOST), pp. 49-56, 2011.

E. Nazerfard, P. Rashidi, and D. Cook, Discovering Temporal Features and Relations of Activity Patterns, Proceedings of the ICDM Workshop on Data Mining for Service, pp. 1069-1075, 2010.

E. Nazerfard, B. Das, L. Holder, and D. Cook, Conditional Random Fields for Activity Recognition in Smart Environments, Proceedings of the ACM International Conference on Health Informatics (SIGHIT), pp. 282-286, 2010.

E. Nazerfard, V. Hakami, and S. Bagheri, Evolutionary GMDH-based Identification of Building Blocks for Binary-Coded Systems, Proceedings of the IEEE International Conference on Information Communication Technologies: from Theory to Application (ICTTA), pp. 1900-1904, 2006.

E. Nazerfard and S. Bagheri, RGEA: A novel Evolutionary Algorithm based on GMDH Neural Networks and Rule Extractions, Proceedings of the International CSI Conference (CSICC), pp. 520-527, 2006.

:: Presentations

The followings are my selected recent (well, almost!) presentations:

Bayesian Networks: Structure Learning, Topics in Machine Learning, 2011.
Assistive Mobility Devices: Smart Walkers, Gerontechnology, 2010.
Applying GMDH Algorithm to Extract Rules from Examples, Machine Learning, 2009.
Fuzzy Fitness Assignment in an Interactive Genetic Algorithm for a Cartoon Face Search, Artificial Intelligence, 2009.

:: Academic Experiences

Research Assistant: Smart Home Project, CASAS Lab, Washington State University, Summer 2010 to present.
Teaching Assistant: Data Structure (CptS 122) and C Programming under Linux (CptS 251), School of EECS WSU, Fall 2009-Spring 2010.
Lecturer: C/C++ Programming (CE 40-153), Sharif University of Technology: Fall 2006, Spring 2007, and Fall 2008.

Please direct comments concerning to this page to nazerfard (AT) eecs DOT wsu DOT edu
Last update: April 2013