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151 Maxime Gorki Boulevard, 94800 Villejuif
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Biography
Hossam FRAIHAT, a research associate at aivancity, is a professor of artificial intelligence and computer networks and holds a Ph.D. in signal processing, imaging, and robotics from the University of Paris-Est. He teaches at La Salle Passy Buzenval and at the CFA; he was an assistant professor in the Department of Electrical Engineering at Al-Ahliyya University in Amman, Jordan; and conducts research on AI applied to computer vision, biomedical signals, and energy forecasting. He is the author of several publications in Scopus-indexed international journals (Q1/Q2), notably in journals such as Future Internet, MDPI, and IEEE Access.
Education & Degrees
| Year | University | Degree/Position |
|---|---|---|
| 2017 | University of Eastern Paris | Ph.D. in Signal Processing, Imaging, and Robotics |
| 2010 | University of Nantes | Master's Degree (Year 2): Design of Electronic and Optoelectronic Components |
Professional experience
| Year | Function |
|---|---|
| 2025–present | Associate Researcher at aivancity |
| 2022–present | Instructor of Computer Networks and Cybersecurity at La Salle Passy Buzenval |
| 2024–2025 | Instructor of Computer Networks and Cybersecurity at CFA-SDMI |
| 2018–2022 | Assistant Professor of Electrical Engineering at Al-Ahliyya University in Amman, Jordan |
| 2013–2017 | Ph.D. student in computer vision |
Publications
- Hossam et al. (2022): Solar Radiation Forecasting Using Pearson Correlation with an LSTM Neural Network and the ANFIS Method: Application in West-Central Jordan, Future Internet MDPI (Scopus Q2)
- Bassam et al. (2022): Automated Detection of Left Bundle Branch Block from ECG Signals Using the Maximal Overlap Discrete Wavelet Transform with ANFIS, MDPI (Scopus Q2).
- Bassam et al. (2022): Assessment of the Dual-Tree Complex Wavelet Transform to Improve Signal-to-Noise Ratio in Conjunction with a Neuro-Fuzzy System for Heart Sound Identification, Electronics MDPI (Scopus Q2).
- Bassam et al. (2020): A Framework for Classifying Heart Sound Signals in the PhysioNet Challenge 2016 Using High-Order Statistics and an Adaptive Neuro-Fuzzy Inference System, IEEE Access (Scopus Q1).
- Bassam et al. (2020): Quantitative Analysis of Heart Sound Conditions Using a Signal-Based Approach with the Dual Tree Complex Wavelet Transform, 5th IEEE Middle East and Africa Conference on Biomedical Engineering (MECBME2020), Amman, Jordan, March 24–26, 2020.
- Fraihat et al. (2017): A Pseudo-3D Vision-Based Dual Approach for Machine-Awareness in Indoor Environments Combining Multi-Resolution Visual Information, IWANN 2017, Cádiz, Spain, June 14–16, 2017, Springer, LNCS series, Vol. 10306, Part II.
- Madani et al. (2017): Machine-Awareness in Indoor Environments: A Pseudo-3D Vision-Based Approach Combining Multi-Resolution Visual Information, IEEE/IDAACS 2017, Bucharest, Romania, September 21–23, 2017.
- Fraihat et al. (2015b): Soft-Computing-Based Fast Visual Object Distance Evaluation for Robot Vision, IEEE/IDAACS 2015, Warsaw, Poland, September 24–26, 2015.
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