Picture of Belkacem Chikhaoui

Belkacem Chikhaoui holds a Ph.D in computer science from University of Sherbrooke (Canada) and was member of the DOMUS and PROSPECTUS laboratories at the University of Sherbrooke. After his doctoral studies, he joined the Intelligent Assistive Technology and systems Lab (IATSL) at University of Toronto (Canada) as a postdoctoral research fellow. Before joining the TELUQ University, Belkacem Chikhaoui worked as data science researcher at the Computer Research Institute of Montreal. He is currently assistant professor at the Science & Technology Department of the TELUQ University and he is a researcher in the LICEF research center. He is also an adjunct professor in the Department of Computer science at the University of Sherbrooke.

His research interests include data mining, machine learning, artificial intelligence, big data, social network analysis, recommender systems, and mobile computing. 

Education

  • Postdoctoral fellow, University of Toronto, 2016
  • Ph.D, University of Sherbrooke, 2013
  • M. Sc. University of Sherbrooke, 2009
  • Computer science engineer, University of Boumerdes (Algeria), 2004

Research Interests

  • Data Mining
  • Machine Learning
  • Artificial Intelligence
  • Social Network Analysis
  • Big Data Processing
  • Recommender Systems
  • Mobile Computing

Teaching

Course not available in the current term

  • SCI 1014 - La science ouverte

Publications & Presentations

This section shows the documents (if any) that are available in R-libre, TELUQ's open access research publication repository.

Journal articles (refereed)

Ben Arous, Myriam; Haddar, Ines; Truong, Alex; Ayena, C. Johannes; Ouakrim, Youssef; El Kamel, Leila; Chikhaoui, Belkacem, & Mezghani, Neila (2023). Non-invasive wearable devices for urinary incontinence detection—a mini review. Frontiers in Sensors, 4, 1279158. https://doi.org/10.3389/fsens.2023.1279158

Zerkouk, Meriem, & Chikhaoui, Belkacem (2020). Spatio-Temporal Abnormal Behavior Prediction in Elderly Persons Using Deep Learning Models. Sensors, 20 (8), 2359. https://doi.org/10.3390/s20082359

Tshimula, Jean-Marie; Chikhaoui, Belkacem, & Wang, Shengrui (In Press). A New Approach for Affinity Relationship Discovery in Online Forums. Social Network Analysis and Mining. https://doi.org/10.1007/s13278-020-00644-9

Ye, Bing; Khan, Shehroz S.; Chikhaoui, Belkacem; Iaboni, Andrea; Schindel Martin, Lori; Newman, Kristine; Wang, Angel, & Mihailidis, Alex (2019). Challenges in collecting big data in a clinical environment with vulnerable population : Lessons learned from a study using a multi-modal sensors platform. Journal of Science and Engineering Ethics, 25 (5), 1447–1466. https://doi.org/10.1007/s11948-018-0072-y

Chikhaoui, Belkacem; Bing, Ye, & Mihailidis, Alex (2018). Aggressive and agitated behavior recognition from accelerometer data using non-negative matrix factorization. Journal of Ambient Intelligence and Humanized Computing, 9 (5), 1375–1389. https://doi.org/10.1007/s12652-017-0537-x

Mabrouk, Rostom; Chikhaoui, Belkacem, & Bentabet, Layachi (2018). Machine Learning Based Classification Using Clinical and DaTSCAN SPECT Imaging Features: A Study on Parkinson’s Disease and SWEDD. IEEE Transactions on Radiation and Plasma Medical Sciences, 3 (2), 170 - 177.

Chikhaoui, Belkacem; Chiazzaro, Mauricio; Wang, Shengrui, & Sotir, Martin (2017). Detecting communities of authority and analyzing their influence in dynamic social networks. ACM Transactions on Intelligent Systems and Technology (TIST), 8 (6), 82:1-82:28.

Chikhaoui, Belkacem; Ye, Bing, & Mihailidis, Alex (2017). Feature-level combination of skeleton joints and body parts for accurate aggressive and agitated behavior recognition. Journal of Ambient Intelligence and Humanized Computing, 8 (6), 957–976.

Papers in conference proceedings (refereed)

Chelabi, Hiba; Khadir, Mohamed Tarek, & Chikhaoui, Belkacem (In Press). Stacked Denoising Autoencoder network for short-term prediction of electrical Algerian load. In 7th International Conference on Control, Decision and Information Technologies (CoDIT’20). IEEE.

Chikhaoui, Belkacem; Ruer, Perrine, & Vallières, Évelyne F. (2019). A Deep Learning Method for Automatic Visual Attention Detection in Older Drivers. In How AI Impacts Urban Living and Public Health. ICOST 2019 (p. 49-60). New York City, USA : Springer, coll. « Lecture Notes in Computer Science », vol. 11862. https://doi.org/10.1007/978-3-030-32785-9_5

Tshimula, Jean-Marie; Chikhaoui, Belkacem, & Wang, Shengrui (In Press). HAR-search: A Method to Discover Hidden Affinity Relationships in Online Communities. In The 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019). Vancouver, Canada : IEEE/ACM.

Zerkouk, Meriem, & Chikhaoui, Belkacem (2019). Long Short Term Memory Based Model for Abnormal Behavior Prediction in Elderly Persons. In Pagán, J.; Mokhtari, M.; Aloulou, H.; Abdulrazak, B., & Cabrera, M. (Ed.), How AI Impacts Urban Living and Public Health : 17th International Conference On Smart Homes and Health Telematics (ICOST 2019). New York City, USA : Springer, coll. « Lecture Notes in Computer Science », vol. 11862.

Chikhaoui, Belkacem; Frank, Gouineau, & Martin, Sotir (In Press). A CNN Based Transfer Learning Model for Automatic Activity Recognition from Accelerometer Sensors. In 14th International Conference on Machine Learning and Data Mining MLDM 2018. New York, USA, coll. « Springer ».

Chikhaoui, Belkacem; Lussier, Maxime; Gagnon, Mathieu; Pigot, Hélène; Giroux, Sylvain, & Bier, Nathalie (2018). Automatic Identification of Behavior Patterns in Mild Cognitive Impairments and Alzheimer's Disease Based on Activities of Daily Living. In Mokhtari, M.; Abdulrazak, B., & Aloulou, H. (Ed.), Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living. 16th International Conference On Smart Homes and Health Telematics (ICOST 2018) (p. 60-72). Singapore : Springer, coll. « Lecture Notes in Computer Science », vol. 10898. https://doi.org/10.1007/978-3-319-94523-1_6

Chikhaoui, Belkacem, & Frank, Gouineau (2017). Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach. In IEEE ICDM Workshops (p. 693-702). New Orleans, USA, coll. « IEEE ».

Other non refereed contributions

Zerkouk, Meriem; Chikhaoui, Belkacem; Hotte, Richard, & Wang, Shengrui (2023). Le raccrochage scolaire à distance : un projet innovant pour un enjeu de société (rapport de recherche). Université TÉLUQ.

Awards & Honors

  • 2015: Best Post-doctoral poster award, Toronto Rehabilitation Institute Research Day, University of Toronto. $250.
  • 2014: Dean’s honour list, Ph.D studies, Faculty of science, University of Sherbrooke.
  • 2013: Recipient of the prestigious NSERC (Natural Sciences and Engineering Research Council of Canada) Posdoctoral Fellowship at the Post doctorate-level. $40,000 per year (2 years)
  • 2011: Recipient of the prestigious Alexander-Graham-Bell NSERC (Natural Sciences and Engineering Research Council of Canada) Scholarship at the doctorate-level. $35,000 per year (2 years)
  • 2011: Recipient of the FQRNT (Fonds Québecois de la Recherche sur la Nature et les Technologies) Scholarship at the doctorate-level (declined). $20,000 per year (2 years)