Dr. Ayman Alahmar
Title
LecturerCampus
Thunder BayOffice
AT 5032Phone
(807) 343-8010 ext. 8922Biography
Ayman Alahmar received a master’s degree in Business Administration (MBA) and a Ph.D. degree in Software Engineering from Lakehead University, Thunder Bay, Ontario, Canada. He also holds a Ph.D. Degree in Mechanical Engineering from Middle East Technical University, Ankara, Turkey.
He is currently an assistant professor with the Department of Software Engineering, Lakehead University. He has a long academic and industrial experience as an Associate Professor and a Serial Entrepreneur. He received numerous awards, including Excellence in Teaching Award, Dean’s Award for Excellence, and IEEE Best Presentation Award for the paper published in the IEEE International Conference on Cloud and Big Data Computing (CBDCom 2020).
His current research interests include artificial intelligence in engineering, health informatics, and software engineering. He serves as a reviewer for several journals, including Computers in Biology and Medicine and Informatics in Medicine Unlocked.
Academic Qualifications
Lakehead University
Ph.D. in Electrical and Computer Engineering/Software Engineering
Lakehead University
Master of Business Administration (MBA)
Lakehead University
Teaching Practicum Certificate, Faculty of Education and Instructional Development Centre
Middle East Technical University, Turkey
Ph.D. in Mechanical Engineering/Artificial Intelligence
Middle East Technical University, Turkey
M.Sc. in Mechanical Engineering/Artificial Intelligence
Middle East Technical University, Turkey
B.Sc. in Mechanical Engineering
Research Interests
- Artificial Intelligence in Engineering
- Health Informatics
- Software Engineering
Recent Publications
Peter Sertic, Ayman Alahmar, Thangarajah Akilan, Marko Javorac and Yash Gupta, An Intelligent Real-Time Facemask Detection System with Hardware Acceleration for COVID-19 Mitigation
Healthcare, Vol. 10, No. 5, 873, 2022.Jarrod Grasley and Ayman Alahmar, Systematic Mapping of Machine Learning Based Malware Detection Studies
IEEE International Conference on Electrical, Computer and Energy Technologies (ICECET), Prague, Czech Republic, July 20-22, 2022.William Bugden and Ayman Alahmar, RUST: The Programming Language for Safety and Performance, 2nd.
International Graduate Studies Congress, Turkey, June 8-11, 2022.William Bugden and Ayman Alahmar, The Safety and Performance of Prominent Programming Languages
International Journal of Software Engineering and Knowledge Engineering, Vol. 32, No. 6, 2022.Ayman Alahmar, Mohannad Almousa, and Rachid Benlamri, Automated Clinical Pathway Standardization using SNOMED CT Based Semantic Relatedness
Digital Health, Vol. 8, pp. 1-17, 2022.Ayman Alahmar and O. Alkhatib, Computerization of Clinical Pathways: A Literature Review and Directions for Future Research, 2nd.
International Symposium of Scientific Research and Innovative Studies (ISSRIS'22), Bandırma Onyedi Eylul University, Turkey, pp. 856-867, March 2-5, 2022.Nicholas Imperius and Ayman Alahmar, Systematic Mapping of Testing Smart Contracts for Blockchain Applications
Sent for publication, July 2022.Mohamed Arbane, Rachid Benlamri, Youcef Brik and Ayman Alahmar, Social Media Based COVID-19 Sentiment Analysis Classification Model Using Bi-LSTM
Sent for publication, June 2022.William Bugden and Ayman Alahmar, Rust: The Programming Language for Safety and Performance, 2nd.
International Graduate Studies Congress, sent for publication (accepted with minor revision), Turkey, June 8-11, 2022.O. Alkhatib and Ayman Alahmar, A Literature Review on Length of Stay Prediction for Stroke Patients using Machine Learning and Statistical Approaches
International Congress on Scientific Advances (ICONSAD’21), pp. 585-597, Dec. 22-25, 2021.Ayman Alahmar, Matteo Ermando Crupi, and Rachid Benlamri, Ontological framework for standardizing and digitizing clinical pathways in healthcare information systems
Computer Methods and Programs in Biomedicine, Elsevier, Vol. 196, 105559, November 2020.Ayman Alahmar and Rachid Benlamri, SNOMED CT-based standardized e-clinical pathways for enabling big data analytics in healthcare
IEEE Access Journal 8, pp. 92765-92775, 2020.Ayman Alahmar and Rachid Benlamri, Optimizing hospital resources using big data analytics with standardized e-clinical pathways
The 6th IEEE International Conference on Cloud and Big Data Computing, Alberta, Canada, August 2020.Ayman Hassan, Rachid Benlamri, Kofi Darko, Ayman Alahmar, Sharon Jaspers, Shelly Brown, Shalyn Littlefield, and Michelle Drombolis, Defining prevalence, incidence and risk factors of Northwestern Ontario patients with ischemic stroke secondary to carotid artery disease: A population-based study.
World stroke congress abstracts, International Journal of Stroke, SAGE, vol. 13, no. 2, 2018.Ayman Alahmar, Emad Mohammed, and Rachid Benlamri, Application of data mining techniques to predict the length of stay of hospitalized patients with diabetes
4th International Conference on Big Data Innovations and Applications (IEEE Innovate-Data), Barcelona, Spain, pp. 38–43, 2018.Karl Skogstad and Ayman Alahmar, The mining industry in Northwestern Ontario: An analysis of recent developments and the strategy for success
Research Paper No. 6, Northern Policy Institute, Ontario, January 2016.Ayman Alahmar, A prototype rule-based expert system with an object-oriented database for university undergraduate major selection
International Journal of Applied Information Systems, Vol. 4, No. 8, pp. 38-42, Dec. 2012.Ayman Alahmar, An attribute-rule dependency matrix method and its Java implementation for rule-based expert systems verification
International Journal of Computer Applications, Vol. 36, No. 8, Dec. 2011.Ayman Alahmar, A prototype student advising expert system supported with an object-oriented database
International Journal of Advanced Computer Science and Applications, Special Issue on Artificial Intelligence, pp. 100-105, Sep. 2011.Ayman Alahmar, Rule based expert system for selecting software development methodology
Journal of Theoretical and Applied Information Technology, Vol. 19, No. 2, pp. 143-148, Sep. 2010.Ayman Alahmar, An object-oriented expert system for diagnosis of fungal diseases of date palm
International Journal of Soft Computing, Vol. 4, No. 5, pp. 201-207, Sep. 2009 (In collaboration with Abu Dhabi Chamber of Commerce & Industry).Ayman Alahmar, Object-oriented intelligent database system for composite materials selection
International Review of Mechanical Engineering, Vol. 2, No. 2, pp. 241-247, March 2008Hend Kendela, Ayman Alahmar, and E. Horbaty, New traveling salesman problem approximation algorithm
International Review on Computers and Software, Vol. 2, No. 4, pp. 325-330, July 2007.E. Horbaty, Ayman Alahmar, H. Kendela, and Ulku Koymen, Evaluation of various concepts of credit hour systems in universities, Research Number 46-C
The Research, Information & Training Council, Ajman University, May 2006.Hend Kendela, Ayman Alahmar, and E. Horbaty, A hybrid heuristic algorithm for traveling salesperson problem
Proceeding of the International Conference on Interactive Mobile and Computer Aided Learning (IMCL), Amman, Jordan, April 19-21, 2006.Ayman Alahmar, Software security and keystroke biometrics: Towards an intelligent password
Computer Security Conference, Faculty of Computer Science and Computer Engineering, Abu Dhabi Campus, Ajman University, Dec. 2003.Awards
2020
IEEE Best Video Presentation Award, IEEE International Conference on Cloud and Big Data Computing
2018 and 2019
Ontario Graduate Scholarship
2017 and 2018
Faculty of Engineering Research Scholarship
2018
C.J. Sanders Graduate Scholarship
2017
Harold S. Braun Memorial Graduate Scholarship
2017
Alumni Association Silver Jubilee Graduate Scholarship
2015
Dean’s Award for Excellence, Faculty of Business Administration
2015
Jeff Llewellyn Memorial Graduate Scholarship in Business
2015