Farid GharehMohammadi , Boland B, Zhao Z, Tse T, Leo D and Johnsen K, " Vision-based Hull Measurements for automated Peanut Maturity Estimation", Advancing Informatics in Government and Engineering. 30 Nov 2018
Seyedamin Pouriyeh, Mehdi Allahyari, Qingxia Liu, Gong Cheng, Hamid Reza Arabnia, Maurizio Atzori, Farid GharehMohammadi, and Krys Kochut,” Graph-based Methods for Ontology Summarization: A Survey”, International Journal of Semantic Computing,Under Review
Farid GharehMohammadi , and Hedieh Sajedi,” Region based Image Steganalysis using Artificial Bee colony”, Journal of Visual Communication and Image Representation, vol. 44, pp. 214-226, April 2017 (Link)
Farid GharehMohammadi, and Mohammad Saniee Abadeh,” Image Steganalysis Using a Bee Colony Based Feature Selection Algorithm”, Engineering applications of artificial intelligence vol. 31, pp. 35-43, May 2014. (Link)
Farid GharehMohammadi, and Mohammad Saniee Abadeh, ”A new metaheuristic feature subset selection approach for image steganalysis”, Journal of Intelligent and Fuzzy Systems, vol. 27, no. 3,pp. 1445-1455, 2014. (Link)
Danial Jalalnouri, Mohammad Saniee Abadeh, Farid GharehMohammadi,” HYEI: A novel Hy bridization algorithm of Evolutionary fuzzy systems and Imperialist competitive algorithm for fuzzy model generation”, Advances in fuzzy system, pp. 1687-7101 , 2014 (Link)
Farid GharehMohammadi, and Mohammad Saniee Abadeh, "An improved image steganalysis using a novel feature selection algorithm based on artificial bee colony", Intelligent Systems and Decision
Making for Risk Analysis and Crisis Response: Proceedings of the 4th International Conference on Risk Analysis and Crisis Response, Istanbul, Turkey, pp. 593-598, 27-29 August 2013.(Link)
- Farid GharehMohammadi, Mohammad Saniee Abadeh "A Survey of Data Mining Techniques for Steganalysis", Recent Advances in Steganography, ISBN: 978-953-51-0840-5, InTech, pp. 1-22, 2012. (Link)
He is currently a 2nd-year Ph.D student in department of Computer Science at University of Georgia.
Computer Vision and Image Processing: Low shot learning, deep learning based image Segmentation,
deep-learning based image editing and generation, data-driven artistic content creation, other image processing topics (Image Segmentation, Object Detection, etc)
Machine Learning and Optimization: Evolutionary and Meta-Heuristic algorithms, Deep Learning, Data
Mining topics ( Pre-analysis algorithms, Classification, and Clustering, Prediction and Rule Extraction, Visualization, etc).
Software Engineering: Software analysis, Software designing, Software programming
The University of Georgia, Athens, GA, USA
Ph.D. in Computer Science, GPA 4.0/4.0.
Tarbiat Modares University, Tehran, Iran
Masters in Computer Engineering
Advisor: Dr. Mohammad Saniee Abadeh
Thesis: Image Steganalysis Using Artificial Bee Colony