Ph.D.
CURRICULUM VITAE
2013
Name
: Dr. Bilal Hani Hawashin
Office Address
: CIS Department – Faculty of Sciences and IT Al Zaytoonah University -11733 – Amman – Jordan.
Home Address
: Amman, Jordan.
Date of Birth
: June 1st, 1980
Place of Birth
: Amman – Jordan
Nationality
: Jordanian.
Marital Status
: Single.
Email Address
: hawashin@alzaytoonah.edu.jo
Phone No. (Office)
: 00 269 – 6 -1924944 / ext. 340
Mobile No.
: 47777717271
CIS Dept.
2
University Education:
Ph.D., 2011
: Computer Science
Wayne State Univ. – Detroit – MI – USA
Thesis title: A New Semantic Similarity Join Method Using Diffusion Maps and Long String Join Attributes.
Research Synopsis: Database
M.Sc., 2003
: Computer Science
NYIT – Irbid – Jordan
B.Sc., 2002
: Computer Science
University of Jordan
Employment:
Sep 2003- Aug. 2007
Jordan Univ. of Science & Tech./Full Time Instructor.
May 2002 / Aug. 2002
Delta / Oracle Developer
Research and Publications
Research Areas
Databases, Data Mining, Information Retrieval, Natural Languages Processing, Record Linkage and Similarity Join.
Research Projects and Research Grants
List of Projects:
Arabic Text Classification, Arabic and Spanish Information Retrieval, Similarity Join, Record Linkage.
List of Publications:
Ismail Hmeidi, Bilal Hawashin, and Eyas El-Qawasmeh, “Performance of KNN and SVM Classifiers on Full Word Arabic Articles,” Advanced Engineering Informatics 22(1): 106-111, 2008 .
CIS Dept.
3
Bilal Hawashin, Farshad Fotouhi, and William Grosky, “Diffusion Maps: A Superior Semantic Method to Improve Similarity Join Performance,” In Proc. of IEEE ICDM MMIS Workshop, pp. 9-16, 2010.
Bilal Hawashin, Farshad Fotouhi, and Traian Marius Truta, ” A Privacy Preserving Efficient Protocol for Semantic Similarity Join Using Long String Attributes”, In Proc. of ACM EDBT/ICDT PAIS Workshop, 2011.
Bilal Hawashin, Farshad Fotouhi, Traian Marius Truta, and William Grosky, “Efficient Privacy Preserving Protocols for Similarity Join”, Transactions on Data Privacy, 5(1): 297-331, 2011.
Bilal Hawashin, Farshad Fotouhi, William Grosky, “Efficient Similarity Join Method Using Unsupervised Learning”, International Journal of Computer Science and Information Technology (IJCSIT), 4(5): 23 – 41, 2012.
Teaching and Supervision
Teaching Experience
Jordan Univ. of Science & Tech / Full Time Instructor.
2003 – 2007.
Undergraduate Supervision
Professional Activities:
Journals and Conferences Reviewer:
IEEE Transactions on Neural Networks and Learning Systems.
CIS Dept.
4
References:
Dr. Ali Dawood Al Zubi
Position: Dean of CS and IT Faculty – Al-Zaytoneh University.
Email: sceience@zuj.edu.jo
Dr. Abed Al Fatah Yehia
Position: Previous Dean of CS and IT Faculty – Al-Zaytoneh University.
