CV

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Education

• 2013–2016: Ph.D., Materials Science and Engineering, Lille University of Science and Technology, France (Mechanical and Microstructural Characterization of a Dissimilar Friction Stirred Welded Aluminum-to-Magnesium Alloy Sheets).
• 2009–2011: M.S. in Mechanical Engineering, Djillali Liabes University, Algeria.
• 2006–2009: B.E. in Mechanical Engineering, Djillali Liabes University, Algeria.

Work experience

• Spring 2020–present: Assistant Professor (University of Ain Temouchent)
  • Employing machine learning techniques in various applications such as mechanical properties forecasting, predicting cutting forces in hard turning, and forecasting energy consumption in Photovoltaic’s, Surface Fault classification in metallic sheets, etc.
• Fall 2016–Fall 2017: Postdoctoral Fellow (Texas A&M University at Qatar)
  • Produced accurate supporting documentation and materials for research activities, including presentations and reports.
  • Presented oral and written analysis at meetings and conferences to share research outcomes.
  • Carried out archive research to inform ongoing and new work.
  • Employed expert knowledge to design and deliver appropriate research approaches, adapting existing methods and utilizing new ones.
  • Advisor: Dr. Bilal Mansoor, Assistant Professor, Department of Mechanical Engineering, Personal Web-page
• Fall 2013–Summer 2015: Research Associate (Texas A&M University at Qatar)
  • Collected large volumes of data with high accuracy.
  • Designed presentations summarizing research findings.
  • Used databases, physical records, and digital resources to complete deep Metallography and Mechanical Testing field of research.
  • Took part in the production of collaborative research reports and publications.
  • Advisor: Dr. Georges Ayoub, Associate Professor, Director of the Human-Centered Engineering Design program, College of Engineering and Computer Science, Personal Web-page

Skills

• Computer Skills
  • Programming Languages: Python, Orange3, Matlab, Latex
  • Operating systems: Windows, MacOs, Linux
• Technical skills
  • Testing and Characterization: Instron/MTS testing at different temperatures, Heat treatment and annealing of metallic materials, Metallography, Optical Microscopy (OM), Scanning Electron Microscopy (SEM) X-ray Diffraction (XRD), Digital Image Correlation (DIC), Energy Dispersive Spectroscopy (EDS), Chemical and electrochemical etching, Chemical reactions in GloveBox.
• Languages
  • English (Proficient reading, writing, and speaking)
  • French (Fluent reading, writing, and speaking)
  • Arabic (Native reading, writing, and speaking)

Publications

Enhancing photovoltaic system performance using advanced gradient boosting methods

F. Harrou, A. Dorbane and Y. Sun, "Enhancing photovoltaic system performance using advanced gradient boosting methods," 2024 International Conference on Control, Automation and Diagnosis (ICCAD), Paris, France, 2024, pp. 1-6, doi: 10.1109/ICCAD60883.2024.10553919.

Enhancing Predictive Capabilities: Machine Learning Approaches for Predicting Mechanical Behavior in Friction Stir Welded Aluminum Alloys

Dorbane, A., Harrou, F., Dursun, B. et al. Enhancing Predictive Capabilities: Machine Learning Approaches for Predicting Mechanical Behavior in Friction Stir Welded Aluminum Alloys. J. of Materi Eng and Perform (2024). https://doi.org/10.1007/s11665-024-09345-2

Machine Learning Prediction of Aluminum Alloy Stress–Strain Curves at Variable Temperatures with Failure Analysis

Dorbane Abdelhakim, et al. (2024). "Machine Learning Prediction of Aluminum Alloy Stress--Strain Curves at Variable Temperatures with Failure Analysis." Journal of Failure Analysis and Prevention, 1-16.

Energy consumption prediction in water treatment plants using deep learning with data augmentation

Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, and Ying Sun. (2023). "Energy consumption prediction in water treatment plants using deep learning with data augmentation." Results in Engineering, 20, 101428.

Prediction of cutting forces in hard turning process using machine learning methods: a case study

Souâd Makhfi, Abdelhakim Dorbane, Fouzi Harrou & Ying Sun. (2023). "Prediction of cutting forces in hard turning process using machine learning methods: a case study." Journal of Materials Engineering and Performance, 1-17.

Sensor fault detection in photovoltaic systems using ensemble learning-based statistical monitoring chart

Fouzi Harrou, Ying Sun, Dorbane Abdelhakim, and Benamar Bouyeddou. Sensor fault detection in photovoltaic systems using ensemble learning-based statistical monitoring chart. In 2023 11th International Conference on Smart Grid (icSmartGrid), pages 1–6. IEEE, 2023.

Exploring Deep Learning Methods to Forecast Mechanical Behavior of FSW Aluminum Sheets

Dorbane Abdelhakim, Harrou Fouzi, Sun Ying. (2023). "Exploring Deep Learning Methods to Forecast Mechanical Behavior of FSW Aluminum Sheets." Journal of Materials Engineering and Performance, 32(9), 4047-4063.

Semi-Supervised KPCA-Based Monitoring Techniques for Detecting COVID-19 Infection through Blood Tests

Harrou Fouzi, Dairi Abdelkader, Dorbane Abdelhakim, Kadri Farid, Sun Ying. (2023). "Semi-Supervised KPCA-Based Monitoring Techniques for Detecting COVID-19 Infection through Blood Tests." Diagnostics, 13(8), 1466. https://doi.org/10.3390/diagnostics13081466

A Tree-Driven Ensemble Learning Approach to Predict FS Welded Al-6061-T6 Material Behavior

Dorbane Abdelhakim, Fouzi Harrou, and Ying Sun. A tree-driven ensemble learning approach to predict fs welded al-6061-t6 material behavior. In 2022 7th International Conference on Frontiers of Signal Processing (ICFSP), pages 184–188. IEEE, 2022.

Forecasting FSW Material’s Behavior using an Artificial Intelligence-Driven Approach

Dorbane Abdelhakim, Fouzi Harrou, and Ying Sun. Forecasting fsw material’s behavior using an artificial intelligence-driven approach. In 2022 International Conference on Decision Aid Sciences and Applications (DASA), pages 1553–1557. IEEE, 2022.

Effect of temperature on microstructure and fracture mechanisms in friction stir welded Al6061 joints

Dorbane Abdelhakim, Ayoub Georges, Mansoor Bilal, Hamade Ramsey F, Imad Abdellatif. (2017). "Effect of temperature on microstructure and fracture mechanisms in friction stir welded Al6061 joints." Journal of Materials Engineering and Performance, 26, 2542-2554.

Mechanical, microstructural and fracture properties of dissimilar welds produced by friction stir welding of AZ31B and Al6061

Dorbane Abdelhakim, Mansoor Bilal, Ayoub Georges, Shunmugasamy Vasanth Chakravarthy, Imad Abdellatif. (2016). "Mechanical, microstructural and fracture properties of dissimilar welds produced by friction stir welding of AZ31B and Al6061." Materials Science and Engineering: A, 651, 720-733.

Microstructural observations and tensile fracture behavior of FSW twin roll cast AZ31 Mg sheets

Dorbane Abdelhakim, Ayoub Georges, Mansoor Bilal, Hamade RF, Kridli G, Shabadi Rajashekhara, Imad Abdellatif. (2016). "Microstructural observations and tensile fracture behavior of FSW twin roll cast AZ31 Mg sheets." Materials Science and Engineering: A, 649, 190-200.

Friction stir welding of AZ31B magnesium alloy with 6061-T6 aluminum alloy: Influence of processing parameters on microstructure and mechanical properties

B Mansoor, Dorbane, A, G Ayoub, and A Imad. Friction stir welding of az31b magnesium alloy with 6061-t6 aluminum alloy: Influence of processing parameters on microstructure and mechanical properties. Friction Stir Welding and Processing VIII, pages 259–266. Springer, 2015.

Observations of the mechanical response and evolution of damage of AA 6061-T6 under different strain rates and temperatures

Dorbane Abdelhakim, Ayoub Georges, Mansoor Bilal, Hamade R, Kridli G, Imad Abdellatif. (2015). "Observations of the mechanical response and evolution of damage of AA 6061-T6 under different strain rates and temperatures." Materials Science and Engineering: A, 624, 239-249.

Mechanical Response and Evolution of Damage of Al6061-T6 Under Different Strain Rates and Temperatures

Dorbane, A., Ayoub, G., Mansoor, B., Hamade, R., Kridli, G., Imad, A. (2015). Mechanical Response and Evolution of Damage of Al6061-T6 under Different Strain Rates and Temperatures. In: Karaman, I., Arróyave, R., Masad, E. (eds) Proceedings of the TMS Middle East — Mediterranean Materials Congress on Energy and Infrastructure Systems (MEMA 2015). Springer, Cham.

Characterization of optimized friction stir welded twin roll cast AZ31B sheets

Ammouri, AH, Achdjian, H., Dorbane, A., Ayoub, G., Kridli, GT., & Hamade, RF. "Mechanical and Microstructural Characterization of Optimized Friction Stir Welded Twin Roll Cast AZ31B Sheets." Proceedings of the ASME 2014 International Mechanical Engineering Congress and Exposition. Volume 2A: Advanced Manufacturing. Montreal, Quebec, Canada. November 14–20, 2014. V02AT02A028. ASME.

Talks

Enhancing photovoltaic system performance using advanced gradient boosting methods

May 17, 2024

Talk at The 2024 International Conference on Control, Automation and Diagnosis (ICCAD’24), Paris, France

Detecting Faulty Steel Plates Using Machine Learning

May 10, 2024

Talk at 8th International Conference on Advances in Computing and Data Sciences (ICACDS)-2024, Paris, France

Machine Learning Methods for Predicting Mechanical Behavior of Aluminum Alloys

October 06, 2022

Talk at Interdisciplinary Conference on Mechanics, Computers and Electrics (ICMECE), Barcelona, Spain

Forecasting FSW Material’s Behavior using an Artificial Intelligence-Driven Approach

March 22, 2022

Talk at International Conference on Decision Aid Sciences and Applications (DASA), Chiangrai, Thailand

A Tree-Driven Ensemble Learning Approach to Predict FS Welded Al-6061-T6 Material Behavior

January 01, 2022

Talk at 7th International Conference on Frontiers of Signal Processing (ICFSP), Paris, France

Teaching Experience

Assistant Professor at the University of Ain Temouchent

Peer-Reviews

• Journal papers
  • 3 reviews - Journal of materials science
  • 2 reviews - Journal of Pressure Vessel Technology, Transactions of the ASME
  • 1 review - Frontiers in Energy Research
  • 1 review - Journal of Advanced Research in Applied Sciences and Engineering Technology
  • 1 review - Journal of Engineering and Technological Sciences
  • 1 review - Results in Engineering
  • 1 review - WSEAS Transactions on Computers
• International conferences
  • 1 review - International Conference on Control, Automation and Diagnosis, 2024 (ICCAD)
  • 4 reviews - International Conference on Frontiers of Signal Processing (ICFSP), 2022, 2023, and 2024 (IEEE)