Welcome!
I am an Assistant Professor of Statistics and Artificial Intelligence at ESISA. Previously, I served as a Postdoctoral Fellow at the Université de Montréal and the University of Ottawa. My primary research focus is on Statistical Machine Learning with applications in Quantitative Finance.
Experienced Assistant Professor and Researcher specialized in statistical thinking, probabilistic security analysis, and machine learning. Proven track record in leading research projects and teaching advanced courses in applied sciences. Skilled in probabilistic analysis, machine learning, and developing predictive models with a strong publication history in peer-reviewed journals.
Professor of Statistical AI
Abdelatif Hafid (Google Scholar; ResearchGate; ORCID )
Assistant Professor,
ESISA Analytica Laboratory,
ESISA
29 bis Ibn Khatib Avenue, Imouzzer Road, Fez 30050, Morocco a.hafid@esisa.ac.ma
Grants and Research Funds
- Postdoctoral Fellow, February 2023 – August 2023, University of Ottawa, Ottawa, Canada, 36000 $CA
Publications
- A. Hafid, M. Rahouti, K. Linglong, M. Ebrahim, M. A. Serhani, “Enhancing stock market predictions through statistical machine learning and sophisticated indicators,” Submitted to the Journal of the Royal Statistical Society. Series A: Statistics in Society.
- A. Hafid, A. H. Senhaji, and D. Makrakis, “Sharding-based Proof-of-Stake Blockchain Protocols: Key Components & Probabilistic Security Analysis,” in Sensors, 23(5), 2819, 2023.
- A. Hafid, A. H. Senhaji and M. Samih, “A Tractable Probabilistic Approach to Analyze Sybil Attacks in Sharding-Based Blockchain Protocols,” in IEEE Transactions on Emerging Topics in Computing, vol. 11, no. 1, pp. 126-136, 1 Jan.-March 2023.
- A. Hafid, A. H. Senhaji and M. Samih, “A Novel Methodology-Based Joint Hypergeometric Distribution to Analyze the Security of Sharded Blockchains,” in IEEE Access, vol. 8, pp. 179389-179399, 2020.
- A. Hafid, A. H. Senhaji and M. Samih, “Scaling Blockchains: A Comprehensive Survey,” in IEEE Access, vol. 8, pp. 125244-125262, 2020.
- A. Hafid, A. H. Senhaji and M. Samih, “New Mathematical Model to Analyze Security of Sharding-Based Blockchain Protocols,” in IEEE Access, vol. 7, pp. 185447-185457, 2019.
- A. Hafid, M. Ebrahim, A. Alfatemi, M. Rahouti, and D. Oliveira, “Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators,” in the 43rd IEEE International Performance Computing and Communications Conference (IPCCC), IEEE, 2024.
- L. Benaddi, C. Ouaddi, A. Jakimi, R. Saadane, B. Ouchao, M. Rahouti, A. Hafid, and D. Oliveira, “An Analytical Study on the Evolution and Impact of Chatbots in Tourism Over the Past Decade,” in the 43rd IEEE International Performance Computing and Communications Conference (IPCCC), IEEE, 2024.
- A. Alfatemi, D. Oliveira, M. Rahouti, A. Hafid, and N. Ghani, “Precision DDoS Detection through Gaussian Noise-Augmented Neural Networks,” in the 15th International Conference on Network of the Future (NoF), IEEE, 2024.
- Belamfedel, S., Hafid, A., Sayyouri, M and Rahouti, M., “Leveraging Machine Learning and Deep Learning Models for Enhanced Stock Price Prediction: A State-of-the-Art Analysis,” in the 21st International Conference on Distributed Computing and Artificial Intelligence (DCAI), Springer, 2024.
- Hafid, A., Senhaji, A. H., and Makrakis, D. “Bitcoin price prediction using machine learning and technical indicators,” in 20th International Conference on Distributed Computing and Artificial Intelligence, Springer, 2023.
- Hafid, A., Senhaji, A. H., and Senhaji, A. H. “Sharding-based proof-of-stake blockchain protocols: Security analysis,” in International Congress on Blockchain and Applications, Springer, 2021.
- Hafid, A., Senhaji, A. H., and Samih, M. “A Methodology for a Probabilistic Security Analysis of Shardingbased Blockchain Protocols,” In International congress on blockchain and applications (pp. 101–109), Springer, 2019.