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Dr. Emad A. Mohammed holds a B.Sc. in System and Biomedical Engineering from Cairo University (1999), an M.Sc. (2012), and a PhD in Software Engineering (2016) from the University of Calgary. He chairs TRU’s Engineering Department and is an adjunct assistant professor at the University of Calgary. He is a member of Professional Engineer and Geoscientist BC. He specializes in diverse research areas, including information representation, biomedical image analysis, data mining, and machine learning. He’s garnered numerous grants and awards, including NSERC DG, and actively contributes to research evaluation as a member of the CIHR College of Reviewers and Tri-Agency review panels.
My research interests span diverse research areas, including information representation, biomedical image analysis, data mining, and machine learning.
- Wilfrid Laurier University - Startup Research Fund
- NSERC - Discovery Grant (2023-2028)
- NSERC - Early Career Researcher (ECR) (2023-2024)
- New Frontier in Research Fund - Exploration Grant (2022-2024)
- MITACS Accelerate (2023-2024)
I have research assistantships opportunities for undergraduate and graduate students interested in Artificial Intelligence, Machine Learning and their applications including computer vision, natural language processing for healthcare and industrial application. Currently, I have several opening in my research team, if interested please email me at emohammed@wlu.ca.
- Emad A. Mohammed, Mohammad Keyhani, Amir Sanati-Nezhad, Behrouz H. Far, Hossein Hejazi. “An ensemble learning approach to digital coronavirus preliminary screening from cough sounds.” Scientific Reports 11.1 (2021): 1-11.
- Emad A. Mohammed, C. Naugler, and B. H. Far. (2016). Breast Tumor Classification Using a New OWA Operator. Journal of Expert System and Application. 61: pp 302-313
- Emad A. Mohammed, B. H. Far and C. Naugler. (2014). Applications of MapReduce Programming Model in Clinical Big Data Analysis Current Landscape and Future Trends. Journal of BioData Mining. pp 7: 22.
- Emad A. Mohammed, M. M. A. Mohamed, C. Naugler, and B. H. Far. (2017). Toward Leveraging Big Value from Data: Chronic Lymphocytic Leukemia Cell Classification. Network Modeling Analysis in Health Informatics and Bioinformatics. 6: 9, pp 1-17.
- E Shakeri, Emad A. Mohammed, ZS HA, B Far. Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
- Aymen Ben Said, Emad A. Mohammed, and Malek Mouhoub. An Implicit Learning Approach for Solving the Nurse Scheduling Problem. ICONIP 2021: International Conference on Neural Information Processing
- Sultanul Kabir, Emad A. Mohammed, Khobaib Zaamout, and Salama Ikki. A Traditional Machine Learning Approach forCOVID-19 Detection from CT Images. The 7th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2021)
- Kuo Yang, Emad A. Mohammed and Behrouz Far. Detection of Alzheimer’s Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images. AI in Healthcare – IEEE Conference on Information Reuse and Integration
- Emad A. Mohammed, Christopher Naugler, Behrouz H. Far. (2020). A Method for Alternatives Ranking Using an OWA Operator Based on the Laplace Distribution, The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), p 88-95
- Andrew Fisher, Emad .A. Mohammed, and Vijay Mago (2020) Deep Learning Tent Detection Algorithms Using A Synthetic Training Approach, The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), p 860-867.
- CP317: Software Engineering (spring 2024)
- CP468: Artificial Intelligence (spring 2024)
- CIHR – Mentee in the Reviewer in Training program – Biomedical Engineering (BME) committee of the Project Grant: Spring 2023 competition.
- Knowledge Mobilization – MobilizeU 2023. I have been invited by the MobilizeU 2023 training that involves Understanding Knowledge Mobilization, Knowledge Synthesis, Target Audience Identification, Communication Strategies, Stakeholder Engagement, and Knowledge Translation.
- Members of the CIHR - College of Reviewers.
- Patent: “SYSTEMS AND METHODS FOR DETECTING OCULAR LESIONS IN FUNDUS IMAGES” (Serial Number – 18/447,213)
- (2022) Development of a Software Tool for Continuous and Noninvasive COVID-19 Pre-screening and Self-assessment. Engineering and Geoscientists of British Columbia (EGBC) – BC egbc.ca/Events/Events/2022/SC1MAR22
- (2022) An Ensemble Learning Approach to Digital Corona Virus Preliminary Screening from Cough Sounds. Data Science Series Seminar – TRU.
- (2022) Detection of Alzheimer’s Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images. Environmental Science Series Seminars – TRU. tru.ca/__shared/assets/Feb_10_2022_data_science_abstract54807.pdf
- (2019) Digital health in Smart Cities. Annual technology conference - Professional Engineers Ontario – Lakehead Chapter, Thunder Bay, Canada lakehead.peo.on.ca/wordpress/wp-content/uploads/2019/10/Program-flyer-Preliminary-Oct-23-2019.pdf
- (2018) Accelerating Data Analytics using Hadoop, Spark, and TensorFlow. The 31st International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, 2018, Concordia University, Montreal, Canada. June 25-28, 2018, Montreal, Canada ieaaie2018.encs.concordia.ca/tutorials.html
- (2018) Data Science and Applications in Healthcare. International Symposium on Big Data Management and Analytics BIDMA 2018 Calgary, Canada, April 24-25, 2018, Calgary, Canada bidma.cpsc.ucalgary.ca/2018/BIDMA_2018_Program_Overview.pdf
- (2017) Rapid prototyping of your first big data analytics project. International Symposium on Big Data Management and Analytics BIDMA 2017 Calgary, Canada, April 17-18, 2017, Calgary, Canada bidma.cpsc.ucalgary.ca/2017/BIDMA_2017_Program_Overview.pdf
- (2017) Implementing your First Healthcare Analytics Project: Proof-of-Concept. Methods Hub LunchBox Session the at the Cumming School of Medicine, The University of Calgary, April 2017, Calgary, Canada themethodshub.com/2017/04/11/implementing-your-first-healthcare-analytics-project-proof-of-concept-prototype/
- (2017) Accelerating Data Analytics: Keeping Pace with Business Demands. The 30th Canadian Conference on Artificial Intelligence took place in Edmonton, Alberta, from May 16 to May 19, 2017, Alberta, Canada https://www.caiac.ca/en/conferences/canadianai-2017/program
- (2016) Analysis of Large-Scale Data Using Hadoop and Spark. International Symposium on Big Data Management and Analytics BIDMA 2016 Calgary, Canada, April 25-26, 2016, Calgary, Canada bidma.cpsc.ucalgary.ca/2016/Tutorials.php
- (2016) Toward Leveraging Big Value from Clinical Laboratory Repositories through Big Data Analytics. Methods Hub LunchBox Session the at the Cumming School of Medicine, The University of Calgary, November 2016, Calgary, Canada
- “Pre-screening COVID-19 from Cough Sound”, The App Show, Global News Radio, 980 CKNW.
- “Pre-screening COVID-19 from Cough Sound”, Main Program: 660 News, CityTV (Calgary).
- COVID-19 Pre-screening Mobile App, Thompson Rivers University Research Network.
- Can cough sounds help pre-screen for COVID-19? UCalgary researchers are developing an app for the University of Calgary Research Forum UToday.