Elahe Farahzadeh
Chapel Hill, NC (***) ***{**** *****.**********@*****.*** http://sites.google.com/site/elahefarahzadeh/ Research Computer Vision, Signal Processing
Interests Machine Learning, Pattern Recognition
Image & Video Processing
Statistical Learning, Data Mining
Education Ph.D. in Computer Science May. 2013
Nanyang Technological University, Singapore
Thesis: Tools for Visual Scene Recognition.
B.Sc. in Computer Engineering (Software) Sept. 2006 University of Isfahan, Isfahan, Iran
Thesis: Communication platform design for home automation systems.
Relevant Course Work: Image Processing and Pattern Recognition; Computational In- telligence methods and applications; Neural and Fuzzy Systems; Systems Analysis; Ad- vanced Topics in distributed Systems; Distributed Multimedia Systems; Computer Graphic; Linear Algebra; Probability and Statistics; Arti cial Intelligence; Data Structure and Anal- ysis of Algorithms; Database design; Linux Programming (Operating System lab); Concur- rent Programming concepts
Professional National University of Singapore, Singapore Experience Research Engineer May 2013 { Jan. 2015
Conducting Research on Challenging Behaviour Recognition for Autism Assessment.
Mentor: Assoc. Prof. Cheong Loong-Fah.
Full time supervisory of the child’s activities in classroom setting and training a sys- tem to classify his challenging actions by video analysis performing Machine Learning alrgorithms.
Nanyang Technological University, Singapore
Research Assistant Aug. 2008 { May 2013
Conducting Research on Object/ Scene Recognition using Machine Learning tech- niques.
Advisors: Assoc. Prof. Tat-Jen Cham, Prof. Andrzej Sluzek,.
University of Wollongong, Wollongong, Australia
Visiting Research Scholar Feb. 2011 { May 2011
Conducting Research on Local-Global Feature Fusion.
Advisors: Assoc. Prof. Wanqing Li, Prof. Philip Ogunbona.
Arman-paya communications (IT Co.), Isfahan, Iran Software Developer Feb. 2007 { June 2008
Contributing to Isfahan telecommunications project, this system covers all the telecom centers inside the city and serves more than 800,000 subscribers. Tools: ORACLE Software, Visual C++, Java-script.
University of Isfahan, Isfahan, Iran
Research Assistant Dec. 2005 { Sept. 2006
Conducting Research on Communication platform design for home automation systems and Developing a communication platform for home automation systems: Using the concepts of Telephony API - PCM format - Wrapper - Telephony Service Provider - Wave le format CODEC
Adviser: Assoc. Prof. Amir Hasan Monadjemi
IRISA (International System Engineering and Automation Co.), Isfahan, Iran Software Engineer Intern June 2005 { Aug. 2005
Conducting Research on Enterprise Resource Planning (ERP).
Advisor: Mr. Siamak Garakooei, IS Development Manager. Honors and Best Paper Award, Advanced Information Management and Service Conference, 2010. Awards NTU Research Scholarship Recipient, 2008-2012
Ranked in the Top 3% among 400,000 participants in Nationwide Entrance Examination of Iranian Universities in Mathematics, Physics, and Engineering elds, August 2002
Ranked 1st in "ACM Programing Competition" among B.S. students of Computer Engi- neering Department, Universty of Isfahan, 2003.
Publications Book Chapters
E. Farahzadeh, T-J. Cham, W. Li, "Semantic and Spatial Content Fusion for Scene Recognition", New Development in Robot Vision, Springer, ISSN.1867- 4925, pp.65-86, Jan. 2015.
Journals
E. Farahzadeh, T-J. Cham, W. Li, "Semantic and Spatial Content Fusion for Scene Recognition", New Development in Robot Vision, Springer, ISSN.1867- 4925, pp.65-86, Jan. 2015.
E. Farahzadeh, L-F. Cheong, "Challenging behaviour recognition for autism assess- mentt", Machine Vision and Applications, Springer (to be submitted).
Conferences
E. Farahzadeh, T-J. Cham and W. Li, \Incorporating Local and Global Information using a Novel, Distance Function for Scene Recognition", IEEE Workshop on Robot Vision, Winter Vision Meetings (WVM), pp.132-137, Clear Water Beach, Florida, Jan. 2013.
B. Sagha, E. Farahzadeh, D. Rajan and A. Sluzek, \Embedding Visual Words into Concept Space for Action and Scene Recognition", British Machine Vision Conference
(BMVC), Aberystwyth, UK, Sept. 2010.
A. Sluzek, D. Yang, M. Paradowski, M.S. Islam, E. Farahzadeh, "Novel Results in Detection, Analysis and Classi cation of Information in Visual Data", Advanced In- formation Management and Service (IMS), China, 2010. ( Best Paper Award ) Skills Machine Learning and Pattern Recognision
Classi cation: SVM, logistic regression, K-nearest neighbor, Naive Bayes, Multiple kernel Learning, Neural Networks, Deep Learning.
Clustering: K-means, mixture models.
Dimention Reduction: PCA, SVD, LSA/pLSA, Eigen Decomposition.
Optimization, Topic Modeling, Spatial Pyramid Matching.
Computer Vision and Signal Processing
Visual Feature Sampling and Extraction: SIFT, GIST, CENTRIST, LBP, HOG, HOF, MBH.
Bag-of-Words Model, Scene/Object/Action Recognition, Image and Video Processing, Motion Capture and Analysis.
Programming: MATLAB, Octave, C/C++, C#.Net, LaTeX, SQL, Python.
Libraries and Toolboxes: OpenCV, VLFeat, Armadillo, Machine Learning tools.
Operating Systems: Windows, Linux, Mac.
Professional Member of Computer Vision Foundation (CVF) Memberships Member of British Machine Vision Association (BMVA)
Member of Institute of Electrical and Electronics Engineers (IEEE) Professional Reviewer for Springer journal of Signal, Image and Video Processing, Sept. 2014 and Nov. Activities 2014.
Program Committee/Reviewer for IAPR Asian Conference on Pattern Recognition
(ACPR), July 2011.
Member of University of Isfahan Association for Computing Machinery (ACM) program- ming contest, Isfahan, Iran, 2003-2005.
Co-auther of computer science atricles for Data Magazine, University of Isfahan, Iran, 2002-2003.
References Dr. Tat-Jen Cham
Associate Professor, School of Computer Engineering Nanyang Technological University, Singapore
Email: ********@***.***.**
Dr. Andrzej Sluzek
Associate Professor, School of Computer Engineering Khalifa University, Abu Dhabi, UAE
Email: *******.******@******.**.**