Dr. Nabil Belacel

NRC Institute for Information Technology, Canada

Email: [email protected]

Qualifications

Ph.D., Université Libre de Bruxelles, France

M.S., NRC Institute for Information Technology to Information and Communication Technology, USA

B.S., Université des Sciences et de la Technologie d'Alger, Algérie

Publications (Selected)

1. Richard, R., Belacel, N. (2024). A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2024, Volume 1. FTC 2024. Lecture Notes in Networks and Systems, vol 1154. Springer, Cham.

2. Guitouni, A., Belacel, N., Benabbou, L. et al. Longitudinal bi-criteria framework for assessing national healthcare responses to pandemic outbreaks. Sci Rep 14, 22109 (2024).

3. Z. Cook et al., "Enhancing Brain Age Prediction: A Generative AI Approach for EEG Machine Learning Models," 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Glasgow, United Kingdom, 2024, pp. 1-6

4. G. Sinha et al., "Machine Learning Methods for Electroencephalogram-Based Age Prediction," 2023 IEEE SENSORS, Vienna, Austria, 2023, pp. 1-4

5. Cook, Z., Sinha, G., Zhao, C., Wang, Z. F., Doesburg, S., Medvedev, G., … XI, P. (2024). Explainable Age Predictions from Electroencephalography Data. Journal of Computational Vision and Imaging Systems, 9(1), 38–41.

6. N. Belacel, R. Richard and Z. M. Xu, "An LSTM Encoder-Decoder Approach for Unsupervised Online Anomaly Detection in Machine Learning Packages for Streaming Data," 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 3348-3357

7. Iglesias, C. F., Jr., Xu, X., Mehta, V., Akassou, M., Venereo-Sanchez, A., Belacel, N., Kamen, A., & Bolic, M. (2022). Monitoring the Recombinant Adeno-Associated Virus Production using Extended Kalman Filter. Processes, 10(11), 2180.

8. Shakirova, A., Nichman, L., Belacel, N., Nguyen, C., Bliankinshtein, N., Wolde, M., DiVito, S., Bernstein, B., & Huang, Y. (2022). Multivariable Characterization of Atmospheric Environment with Data Collected in Flight. Atmosphere, 13(10), 1715.

9. Belacel, N., Richard, R., Rangavajjala, D.P., Adhaduk, R. (2022). Online Anomaly Detection for Streaming Data Implemented on Top of Kafka, Scikit-Multiflow and River. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2021, Volume 3. FTC 2021. Lecture Notes in Networks and Systems, vol 360. Springer, Cham.

10. Al-Obeidat, F., Belacel, N., Spencer, B. (2019). Combining Machine Learning and Metaheuristics Algorithms for Classification Method PROAFTN. In: Ganchev, I., Garcia, N., Dobre, C., Mavromoustakis, C., Goleva, R. (eds) Enhanced Living Environments. Lecture Notes in Computer Science(), vol 11369. Springer, Cham.

11. Belacel, N., Durand, G., Leger, S., Bouchard, C. (2019). Scalable Collaborative Filtering Based on Splitting-Merging Clustering Algorithm. In: van den Herik, J., Rocha, A. (eds) Agents and Artificial Intelligence. ICAART 2018. Lecture Notes in Computer Science(), vol 11352. Springer, Cham.

12. Belacel, N., Durand, G., Leger, S. and Bouchard, C., Splitting-merging Clustering Algorithm for Collaborative Filtering Recommendation System. In Proceedings of the 10th International Conference on Agents and Artificial Intelligence (ICAART 2018) - Volume 2, pages 165-174

13. Cyrus Minwalla, Dan Tulpan, Nabil Belacel, Fazel Famili, and Kristopher Ellis (2016), Detection of Airborne Collision-Course Targets for Sense and Avoid on Unmanned Aircraft Systems Using Machine Vision Techniques, Unmanned SystemsVol. 04, No. 04, pp. 255-272

14. Si He, Nabil Belacel, Alan Chan, Habib Hamam, and Yassine Bouslimani (2016), A Hybrid Artificial Fish Swarm Simulated Annealing Optimization Algorithm for Automatic Identification of Clusters, International Journal of Information Technology & Decision Making, Vol. 15, No. 05, pp. 949-974

15. Bouslimani, Y., Durand, G., & Belacel, N. (2017). EDUCATIONAL DATA MINING APPROACH FOR ENGINEERING GRADUATE ATTRIBUTES ANALYSIS. Proceedings of the Canadian Engineering Education Association (CEEA).

16. Durand, G., Belacel, N., Goutte, C. (2015). Evaluation of Expert-Based Q-Matrices Predictive Quality in Matrix Factorization Models. In: Conole, G., Klobučar, T., Rensing, C., Konert, J., Lavoué, E. (eds) Design for Teaching and Learning in a Networked World. EC-TEL 2015. Lecture Notes in Computer Science(), vol 9307. Springer, Cham.

17. LaPlante, F., Belacel, N., Kardouchi, M. (2015). A Heuristic Automatic Clustering Method Based on Hierarchical Clustering. In: Duval, B., van den Herik, J., Loiseau, S., Filipe, J. (eds) Agents and Artificial Intelligence. ICAART 2014. Lecture Notes in Computer Science, vol 8946. Springer, Cham.

18. LaPlante, F., Kardouchi, M., Belacel, N. (2015). Image Categorization Using a Heuristic Automatic Clustering Method Based on Hierarchical Clustering. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2015. Lecture Notes in Computer Science, vol 9164. Springer, Cham.

19. D. Tulpan, N. Belacel, F. Famili and K. Ellis, "Experimental evaluation of four feature detection methods for close range and distant airborne targets for Unmanned Aircraft Systems applications," 2014 International Conference on Unmanned Aircraft Systems (ICUAS), Orlando, FL, USA, 2014, pp. 1267-1273

20. A. I. Salhi, M. Kardouchi and N. Belacel, "Histograms of fuzzy oriented gradients for face recognition," 2013 International Conference on Computer Applications Technology (ICCAT), Sousse, Tunisia, 2013, pp. 1-5

Profile Details

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