Dr. Farhad Oroumchian is an Associate Professor in the Faculty of Computer Science and Engineering. His research specialty is in Artificial Intelligence, Information Retrieval and Natural Language Processing. Dr. Oroumchian has developed an intelligent search engine which mimics Human reasoning in order to find relevant documents. He is also a prominent researcher on Persian text processing and retrieval and multi-lingual search engines. He has been supervisor or co-supervisor of many PhD and MSc students. Dr. Oroumchian has published more than 90 journal/conference and book chapters on his research findings. He serves on technical/program committees of many international journals and conferences. Dr. Oroumchian is also a member of several Centres of Excellence and Research groups. Dr. Oroumchian has worked as project manager and consultant for many years in U.S.A and Iran. His previous posts include Associate Dean of Faculty Computer Science and Engineering, University of Wollongong in Dubai, Chair of the Department of Software Engineering at the University of Tehran, Manager of IT Services in the Faculty of Engineering, University of Tehran, and Senior Research Engineer TextWise LLC., in Syracuse New York and Database/Computer Consultant for Defelsko Inc, Ogdensburg, New York.
Journal Articles
A3CRank: an adaptive ranking method based on connectivity, content and click-through data (with Ali M. Zareh Bidoki, Pedram Ghodsnia, and Nasser Yazdani), University of Wollongong in Dubai - Papers (2010)
Due to the proliferation and abundance of information on the web, ranking algorithms play an...
A3CRank: An adaptive ranking method based on connectivity, content and click-through data (with Ali Mohammad Zareh Bidoki, Pedram Ghodsnia, and Nasser Yazdani), Information Processing and Management (2010)
Due to the proliferation and abundance of information on the web, ranking algorithms play an...
Hamshahri: A standard Persian Text Collection (with Abolfazl Aleahmad, Hadi Amiri, and Masoud Rahgozar), University of Wollongong in Dubai - Papers (2009)
The Persian language is one of the dominant languages in the Middle East, so there...
Hamshahri: a standard Persian text collection (with Abolfazl AleAhmad, Hadi Amiri, Ehsan Darrudi, and Masoud Rahgozar), Knowledge-Based Systems (2009)
The Persian language is one of the dominant languages in the Middle East, so there...
Rich document representation and classification: an analysis (with Mostafa Keikha and Ahmad Khonsari), Knowledge-Based Systems (2009)
There are three factors involved in text classification. These are classification model, similarity measure and...
Conference Papers
Cross Language Experiments at Persian@CLEF 2008 (with Abolfazl Ale Ahmad, Ehsan Kamalloo, Arash Zareh, and Masoud Rahgozar), University of Wollongong in Dubai - Papers (2009)
In this study we will discuss our cross language text retrieval (CLIR) experiments with the...
Fusion of retrieval models at CLEF 2008 Ad Hoc Persian Track (with Zahra Aghazade, Nazanin Dehghani, Leili Farzinvash, Razieh Rahimi, Abolfazel AleAhmad, and Hadi Amiri), University of Wollongong in Dubai - Papers (2009)
Metasearch engines submit the user query to several under- lying search engines and then merge...
Improving Persian Information Retrieval Systems Using Stemming and Part of Speech Tagging (with Reza Karimpour, Amineh Ghorbani, Azadeh Pishdad, Mitra Mohtarami, Abolfazl Ale Ahmad, and Hadi Amiri), University of Wollongong in Dubai - Papers (2009)
With the emergence of vast resources of information, it is necessary to develop methods that...
Using Human Plausible Reasoning as a Framework for Multilingual Information Filtering (with Asma Damankesh, Jaspreet Singh, Fatima Jahedpari, and Khaled Shaalan), University of Wollongong in Dubai - Papers (2009)
In this paper the application of the theory of Human Plausible Reasoning (HPR) has been...
Web-graph pre-compression for similarity based algorithms (with Hamid Khalili and Amir Yahyavi), University of Wollongong in Dubai - Papers (2009)
The size of web-graph created from crawling the web is an issue for every search...