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Dr.Ali Bou Nassif ASSOCIATE PROFESSOR & VICE DEAN OF COLLEGE OF GRADUATE STUDIES
Ali Bou Nassif

Specialization:

  • Ph.D. in Electrical and Computer Engineering, University of Western Ontario, London, Ontario, Canada, 2012.

Research Interests:

  • Software Cost Estimation, Artificial Intelligence, Deep Learning, Speech Recognition, Arabic Natural Language Processing

Contact

• Ph.D. in Electrical and Computer Engineering, University of Western Ontario, London, Ontario, Canada, 2012 • M.Sc. in Computer Science (thesis work), University of Western Ontario, London, Ontario, Canada, 2009 • M.Sc. in Computer Science (course work), AUL University, Beirut, Lebanon, 2004 • B.Eng. in Electrical Engineering, Beirut Arab University, Beirut, Lebanon, 1997
•2019-Present, Assistant Professor, Department of Computer Engineering, College of Computing and Informatics, UOS, UAE. • Assistant Dean of Academic Graduate Affairs, University of Sharjah, Sharjah, UAEUniversity of Sharjah, Sharjah, UAE • 09/2015 – : Assistant Professor, Department of Electrical and Computer Engineering, University of Sharjah, Sharjah, UAE • 09/2013 – 08/2015: Sessional Instructor at the rank of Assistant Professor, Department of Electrical and Computer Engineering, Department of Computer Science, University of Western Ontario, London, Ontario, Canada • 09/2010 – 04/2015: Adjunct Professor, Department of Economics, Business and Math, King’s University College, London, Ontario, Canada • 06/2012 – 08/2013: Postdoctoral Fellow, Department of Electrical and Computer Engineering, University of Western Ontario, London, Ontario, Canada
- ECE Associate Chair, University of Sharjah (Sept. 2016 – Present) - ECE Strategic Plan committee, member, University of Sharjah (Sept. 2016) - ECE Ph.D. committee, member, University of Sharjah (Dec 2015 – January 2017) - Member of PhD supervisory committee of PhD student in Engineering Management: Abdulaziz Fahad Ali Al Dowayan, University of Sharjah - Representative of ECE department for Open Day (March 1, 2016 between 8:30 and 10:00), University of Sharjah - Community Service ECE representative in the college of Engineering, University of Sharjah (Sept. 2015 – Aug. 2017) - Technical Program Chair of the 7th International Conference of Computer Science & Information Technology, Amman, Jordan, 2016 - Special Issue “Predictive Analytics Using Machine Learning” organizer and main Guest Editor at Neural Computing and Applications Journal (Published by Springer, 2014 Impact Factor = 1.569) - Special Issue “Soft Computing in Software Engineering” Guest Editor at Applied Soft Computing (Published by Elsevier, 2014 Impact Factor = 2.810)
- Professional Engineers Ontario (PEO) - Orders of Engineers, Lebanon - IEEE Computer Society - ACM Association for Computing Machinery
- Software cost estimation using machine learning - Data analytics in social media
Refereed Journal Papers (Published / In Press):  Mohammad Azzeh and Ali Bou Nassif, “A Comparative Analysis of Soft Computing Techniques for Predicting Software Effort Based Use Case Points,” IET Software (2016 ISI Impact Factor: 0.73)  Cuauhtémoc López Martín, Ali Bou Nassif, and Alain Abran “A training process for improving the quality of software projects developed by a practitioner,” Journal of Systems and Software (2016 ISI Impact Factor: 2.44), Elsevier, Volume 131, pp. 98-111, 2017  Mohammad Azzeh and Ali Bou Nassif, “Analyzing the Relationship between Project Productivity and Environment Factors in the use case points method,” Journal of Software: Evolution and Process (2016 ISI Impact Factor: 1.03), Wiley, 2017  Mohammad Azzeh and Ali Bou Nassif, “A hybrid model for estimating software project effort from Use Case Points,” Applied Soft Computing (2016 ISI Impact Factor: 3.54), Elsevier, Volume 49, pp. 981-989, 2016  MohammadNoor Injadat, Fadi Salo and Ali Bou Nassif, “Data Mining Techniques in Social Media: A Survey,” Neurocomputing (2016 ISI Impact Factor 3.317), Volume 214, Issue 19, pp. 654–670, Elsevier, 2016  Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz and Danny Ho, “Neural Network Models for Software Development Effort Estimation: A Comparative Study,” Neural Computing and Applications (2016 ISI Impact Factor: 2.5), Volume 27, Issue 8, pp. 2369-2381, Springer, 2016  Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan and Fadi Almasalha “Pareto Efficient Multi- Objective Optimization for Local Tuning of Analogy-Based Estimation,” Neural Computing and Applications (2016 ISI Impact Factor: 2.5), Volume 27, Issue 8, pp. 2241-2265, Springer, 2016  Mohammad Azzeh, Ali Bou Nassif and Leandro Minku, “An Empirical Evaluation of Ensemble Adjustment Methods for Analogy-Based Effort Estimation,” Journal of Systems and Software (2015 ISI Impact Factor: 1.424), Volume 103, Elsevier, 2015, PP. 36-52  Mohammed Azzeh and Ali Bou Nassif “Analogy-Based Effort Estimation: A New Method to Discover Set of Analogies from Dataset Characteristics,” IET Software (2015 ISI Impact Factor: 0.595), Volume 9, Issue 2, April 2015, PP. 39-50  Wei Lin Du , Luiz Fernando Capretz, Ali Bou Nassif, and Danny Ho “A Hybrid Intelligent Model For Software Cost Estimation,” Journal of Computer Science, Volume 9, Issue 11, 2013, PP. 1506-1513  Ali Bou Nassif, Danny Ho and Luiz Fernando Capretz, “Towards an Early Software Estimation Using Log-Linear Regression and a Multilayer Perceptron Model,” Journal of Systems and Software (2013 ISI Impact Factor: 1.425), Elsevier, Volume 86, Issue 1, PP. 144-160, 2013  Ali Bou Nassif, Luiz Fernando Capretz and Danny Ho, “Enhancing Use Case Points Estimation Method using Soft Computing Techniques,” Journal of Global Research in Computer Science, Volume 1, No. 4, November 2010, PP. 12-21 Refereed Conference Papers:  Ali Bou Nassif, Mohammad Azzeh and Shadi Banitaan, “Robust Rank Aggregation Method for Case-Base Effort Estimation,” IoT Connect at the 30th annual IEEE Canadian Conference on Electrical and Computer Engineering (IEEE 2017 CCECE), 2017, Windsor, Ontario, Canada  Ali Bou Nassif “Short Term Power Demand Prediction Using Stochastic Gradient Boosting,” 5th International Conference on Electronic Devices, Systems and Applications, 2016, Ras Al Khaima, UAE  Ali Idri, Mohamed Hosni and Ali Bou Nassif, “Heterogeneous Ensembles for Software Development Effort Estimation,” 2016 International Conference on Soft Computing & Machine Intelligence (ISCMI 2016), Dubai, UAE, 2016  Shadi Banitaan, Mohammad Azzeh and Ali Bou Nassif “User Movement Prediction: The Contribution of Machine Learning Techniques” 15th IEEE International Conference on Machine Learning and Applications, 2016, Los Angeles, USA  Shadi Banitaan, Ali Bou Nassif and Mohammad Azzeh, “Class Decomposition using K-means and Hierarchical Clustering,” 14th IEEE International Conference on Machine Learning and Applications, 2015, Miami, USA  Mohammad Azzeh, Ali Bou Nassif and Shadi Banitaan, “An Application of Classification and Class Decomposition to Use Case Point Estimation Method” 14th IEEE International Conference on Machine Learning and Applications, 2015, Miami, USA  Hamza Ghandorh, Ali Bou Nassif and Luiz Fernando Capretz, “A Domain-specific Language Notation for Smartphone Applications with Portable Capability,” 12th International Conference on Mobile Web and Intelligent Information Systems (MobiWis 2015), 2015, Rome, Italy  Mohammad Azzeh, Ali Bou Nassif and Shadi Banitaan “A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-Objective Optimization,” 13th IEEE International Conference on Machine Learning and Applications (ICMLA 2014), December 2014, Detroit, MI, USA  Ali Bou Nassif, Luiz Fernando Capretz and Danny Ho, “Calibrating Use Case Points,” Companion Proceedings of the 36th International Conference on Software Engineering (ICSE 2014), June 2014, Hyderabad, India  Sonia Meskini, Ali Bou Nassif, and Luiz Fernando Capretz, “Reliability Prediction of Smartphone Applications Through Their Failure Data Analysis”, The 19th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2013), December 2013, Vancouver, BC, Canada Book:  Ali Bou Nassif, “Measuring SaaS Applications based on Utilized Features,” LAP Lambert Academic Publishing, ISBN-13: 978-3844328134, 2011 Book Chapter:  Ali Bou Nassif and Miriam A.M. Capretz, "Offering SaaS as SOA services," in Innovations and Advances in Computer, Information, Systems Sciences, and Engineering, K. Elleithy and T. Sobh, Eds. New York: SpringerLink, 2013
- Seed Research Project Grant, Primary Investigator, the University of Sharjah, 2016, project title “Decision Tree Models for Software Development Effort Estimation”. Grant amount 40,000 AED ($11,000 USD) - Competitive Research Project Grant, Co-Investigator, the University of Sharjah, 2016, project title “Capturing, Studying, and Analyzing Arabic Emirati-Accented Speech Database in Stressful and Emotional Talking Environments for Different Applications”. Grant amount 80,000 AED ($22,000 USD) - Competitive Research Project Grant, Co-Investigator, the University of Sharjah, 2016, project title “Emotion Recognition in Each of Stressful and Emotional Talking Environments Using Artificial Models”. Grant amount 80,000 AED ($22,000 USD) - Ontario Graduate Scholarship (OGS), May 2012. Declined scholarship - Ontario Graduate Scholarship (OGS). Accepted scholarship from May 2011 until April 2012 - Award for Outstanding Presentation in Graduate Symposium 2011, The University of Western Ontario
“Education is not the filling of a pail, but the lighting of a fire” -- William Butler Yeats Teaching is about helping students not only grasp but also assimilate certain material through lectures and demonstrations. Having been a teacher, I am grateful for the opportunity to help impart knowledge to students and help them achieve their professional goals. I enjoy seeing them grow intellectually and personally. I began my teaching career in 1997 teaching Math and Physical Science to grade 6, 7, 8 and 9. I then transitioned to teaching at a post-secondary vocational school (1999) and then in 2003, teaching at the university level after obtaining a Master’s in Computer Science. In teaching more than fifteen years in the Middle East and in Canada, I have learned a lot about cultural differences among students and how to deal with other related issues. I genuinely enjoy teaching and feel that since life is a continual learning process, teachers must also update their skills and education. A teacher’s job is not only to provide an environment that is conducive to learning, each at his or her pace, but also one of being open to learning from his students. This mutual respect is valuable in creating a nurturing learning environment that cannot be overlooked. Having had five years of working experience as a project manager at a company allows me to present a curriculum that involves the interests of the students and makes learning relevant to the everyday experiences and professional goals by providing practical examples that help them make sense of the theory. In Computer Engineering, it is imperative that the teacher applies and practices critical thinking by teaching and guiding the students how to think and solve their own problems especially in the courses that contain a lot of programming. Encouraging students to participate in classroom discussions and in problem solving tasks make them involved, active learners. Teaching every class with excitement and enthusiasm tends to be contagious! I also make a conscious effort to memorize the students' names as quickly as possible. Calling students by their names makes them feel valued and respected.
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