محمد رشدي

Experienced Assistant Professor with a demonstrated history of working in the higher education industry. Strong education professional with a Doctor of Philosophy (Ph.D.) focused in Data Mining and Machine Learning from Universidad de Jaén. Experienced and skilled in (Data Acquisition, Analyzed and processed complex data sets, Data Mining and Text Mining and Visualization Tools,  Natural language Processing and Computational Linguistics, Machine Learning Algorithms, Processing Structured, Semi-Structured and Unstructured Data, Data and Quantitative Analysis, Predictive Modeling, RapidMiner Platform, Research, Reports).

Ph.D. Computer Science & Engineering, University of Ja´en (Spain), Artificial Intelligence/ Data Mining, 2013.
M.S. Computer Science & Engineering, Katholic University of Leuven (Belgium), Artificial Intelligence/ Speech Language Technology, 2005.
B.S. Computer Science & Engineering, Tver State Technical University, 1998.

Present Assistant Professor, Al Istiqlal University.
2017- 2018 Assistant Professor, Palestine Ahliya University.
2016- 2017 IT trainer (Part Time) Global Academy, Dubai.
2015- 2016. Assistant Professor, Sharjah University.
2013- 2014. Post-Doctoral Fellowship. Carnegie Mellon University in Qatar,
project entitled Raising Language Effectiveness in Arabic E-commerce Websites".
2007-2008. Instructor of computer lab. ART college, Al-Quds University.
2006-2007. Coordinator of IT and communications, Child Institute, Al-Quds University.
2005-2007. Lecturer of Computer Science, Al Quds Open University.
1999-2003. Computer Network Engineer, (CIT), Al-Quds University.
1998-1999. Teacher of computer science, Bethlehem high school, Ministry of Education.
1998-1999. Technical support as part time in Bethlehem ISP Company.

• Artificial Intelligence and Expert Systems, Operating Systems, Control and Security of Information Systems.
•  Computer Applications in Financial management and Banking, IT Applications in E-Commerce, Programming for Engineers (C++), Computer Introduction.
•  Information Security, Visual Programming (C#), Network Introduction, Web Applications Design, Ethics in Information Technology.

1. D. Liginlal, M. Rushdi, A. Rizwan, R. Meeds. Localization for a High Context Culture: An Exploratory Study of Cultural Markers and Metaphors in Arabic E-Commerce Websites, Proceedings of EEE 2014: International Conference on E-Commerce, E-Business and E-Service, CRC Press, 2014.
2. D. Liginlal, M. Rushdi, A. Rizwan, R. Meeds, Cultural adaptation and e-commerce: An investigation of language effectiveness in Arabic e-commerce websites, Qatar Foundation Annual Research Forum Proceedings (Poster presentation): Vol. 2013, SSHP 018.
3. M Rushdi-Saleh, MT Mart´ın-Valdivia, LA Urena-L´opez, JM Perea-Ortega. Bilingual Experiments with an Arabic-English Corpus for Opinion Mining". Recent Advances in Natural Language Processing, RANLP 2011: 740-745, 2011.
4. M Rushdi-Saleh, A Montejo-R´aez, MT Mart´ın-Valdivia, A Urena-L´opez. Prediction of Customer Ratings on a New Corpus for Opinion Mining". Proceedings Working Notes for the WOMSA 2009 Workshop. Sevilla.

1. M Rushdi Saleh, MT Mart´ın-Valdivia, A Montejo-R´aez, LA Urena-L´opez. Experiments with SVM to classify opinions in different domains". Expert Systems with Applications 38 (12),
   14799-14804, 2011. (Impact Factor: 2.203).
2. M Rushdi Saleh, MT Mart´ın-Valdivia, LA Urena-L´opez, JM Perea-Ortega. OCA: Opinion corpus for Arabic". Journal of the American Society for Information Science and Technology 62(10), 2045-2054, 2011 (Impact factor: 2.081)
3. MT Mart´ın-Valdivia, A Montejo-R´aez, A Urena-L´opez, M Rushdi Saleh. Learning to Classify Neutral Examples from Positive and Negative Opinions". Journal of Universal Computer Science 18 (16), 2319-2333, 2012 (Impact Factor: 0.669).