Dia Eddin AbuZeina – PhD in Computer Science and Engineering Email: abuzeina@hotmail.com, abuzeina@ppu.edu Research interests: Arabic Speech Recognition, Arabic Natural Language Processing, and Data Mining. Professional Experience: Aug 2012- present: Assistant Professor in Computer Science and Engineering, Palestine Polytechnic University – Palestine. Courses: Object Oriented programming using java, computer Programming using C++, Design and Analysis of Algorithms, and Data Structures. In addition, a master level course : Research Methods and Skills Sep 2007 – Jan 2012: Lecturer B at King Fahd University of Petroleum and Minerals – Saudi Arabia Courses: Computer Programming in C Sep 2005 – Sep 2007: Lecturer at Palestine Polytechnic University Hebron – Palestine Courses: Data Structures in C Visual Programming (Visual Basic 6.0) Programming for the Internet (ASP.NET) Feb 2004 - June 2004: Java Lab Assistant – Southern New Hampshire University - USA Feb 2002 – June 2003: System Administrator – Palestine Polytechnic University – Palestine. Education: Jan 2012 King Fahd University of Petroleum and Minerals, Saudi Arabia PhD in Computer Science and Engineering August 2005 Southern New Hampshire University, Manchester, USA Master of Science, Information Technology June 2001 Palestine Polytechnic University, Hebron, Palestine Bachelor’s degree, Computer System Engineering Scholarships and Memberships: Full scholarship for PhD, King Fahd University of Petroleum and Minerals, Saudi Arabia,2007. Full scholarship for MSc, Ministry of Higher Education scholarship – Palestine, 2003. Member of Engineering Association – Amman - Jordan Cirtifications: Cisco Certified Network Associate (CCNA) Skills: RDBMS, Database & Networks. Programming in C, Visual Basic, JAVA, ASP.NET Systems software and Applications software Languages: Arabic and English Research contribution in speech recognition area: Journals: 1. Dia Abuzeina, Wasfi Al-Khatib, Moustafa Elshafei, Husni Al-Muhtaseb. 2011. Cross-word Arabic pronunciation variation modeling for speech recognition. Int. J. Speech Technol. 14, 3 (September 2011), 227-236. DOI=10.1007/s10772-011-9098-0 http://dx.doi.org/10.1007/s10772-011-9098-0. 2. Dia Abuzeina, Wasfi Al-Khatib, Moustafa Elshafei, “Modeling of Cross-word Pronunciation Variation for Arabic ASRs: A Knowledge-Based Approach”, Journal of Communications and Computer Engineering, ISSN 2090-6234,Volume 2, Issue 1, 2012, Pages 24:30. 3. Dia Abuzeina , Wasfi Al-Khatib , Moustafa Elshafei , Husni Al-Muhtaseb, Within-word pronunciation variation modeling for Arabic ASRs: a direct data-driven approach, International Journal of Speech Technology, v.15 n.2, p.65-75, June 2012. http://rd.springer.com/article/10.1007/s10772-011-9122-4. 4. Dia Abuzeina , Wasfi Al-Khatib , Moustafa Elshafei , Husni Al-Muhtaseb, Toward enhanced Arabic speech recognition using part of speech tagging, International Journal of Speech Technology, v.14 n.4, p.419-426, December 2011. http://rd.springer.com/article/10.1007/s10772-011-9121-5. 5. Dia Abuzeina, Moustafa Elshafei , Husni Al-Muhtaseb, Wasfi Al-Khatib, “Arabic Speech Recognition - Recent Advances”, International Journal for Computer Science and Engineering In Arabic, Volume 4, Number 3, ISSN: 19360525, November 2012, Pages 77:98. International Conferences: 6. AbuZeina D., Elshafei M., "Cross-word Arabic pronunciation variation modeling for speech recognition,” IEEE GCC Graduate Forum 2011 UAE, Dubai, 2011. 7. AbuZeina D., Elshafei M., "Within-Word Pronunciation Variation Modeling for Arabic ASRs: A Direct Data-Driven approach”, 3rd International Conference on Computer Engineering and Technology, Malaysia, 2011. 8. AbuZeina D., Al-Khatib W., Elshafei M., “Modeling of Cross-word Pronunciation Variation for Arabic ASRs: A Knowledge-Based Approach”, 7th International Computing Conference In Arabic, Riyadh, 2011. 9. AbuZeina D., Elshafei M., Al-Khatib W.,” Part of Speech Tagging Approach to Designing Compound Words for Arabic Continuous Speech Recognition Systems”, The International Conference on Informatics Engineering & Information Science, Malaysia, 2011. 10. AbuZeina D., Al-Khatib W., Elshafei M., “Small-Word Pronunciation Modeling for Arabic Speech Recognition: A DataDriven Approach”, Seventh Asia Information Retrieval Societies Conference, Dubai, 2011. 11. AbuZeina D., Elshafei M., Al-Muhtaseb H., Al-Khatib W.,”Rescoring N-Best Hypotheses for Arabic Speech Recognition: A Syntax-Mining Approach”, Fourth Workshop on Computational Approaches to Arabic Script-based Languages(CAASL4), San Diego, California November 1st, 2012. 12. AbuZeina D., Elshafei M., Al-Muhtaseb H, Al-Khatib W., “Arabic speech recognition - recent advances”, First international conference on information and communication technologies for education and training, Tunisia 7-10 May 2012. 13. AbuZeina D., Alsaheb M., “Discovering Quran syntactical rules using: a data mining approach”, Taibah University International Conference on Advances in Information Technology for the Holy Quran and its Sciences, Saudi Arabia, 22-25 December, 2013. Books: 14. A book: ”Cross-Word Modeling for Arabic Speech Recognition” (SpringerBriefs in Electrical and Computer Engineering / SpringerBriefs in Speech Technology), AbuZeina D., Elshafei M., 2011. http://www.springer.com/engineering/signals/book/978-1-4614-1212-0 15. A book chapter, "Modern Speech Recognition Approaches with Case Studies", book edited by S. Ramakrishnan, ISBN 978-953-51-0831-3, Published: November 28, 2012 under CC BY 3.0 license, Chapter 12. “Cross-Word Arabic Pronunciation Variation Modeling Using Part of Speech Tagging”, By Dia AbuZeina, Husni Al-Muhtaseb and Moustafa Elshafei. http://www.intechopen.com/books/modern-speech-recognition-approaches-with-case-studies Patents: 16. AbuZeina D., Elshafei M., Al-Muhtaseb H, Al-Khatib W. “System and Method for Decoding Speech”, U.S. Patent and Trademark Office., Attorney Docket No. 34000.54, USA, 2012.