Mohamad Wehbi
Dr. Mohamad Wehbi
Alumnus
Carl-Thiersch-Straße 2b
91052 Erlangen
Germany
Machine Learning and Data Analytics Lab
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Carl-Thiersch-Straße 2b
91052 Erlangen
Germany
| 2019 – 2022 | Researcher and PhD Candidate
Machine Learning and Data Analytics Lab Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
| 2016 – 2019 | M.Sc. in Computer and Automation Engineering, “Robotics and Automation”
University of Siena (UNISI), Italy |
| 2009 – 2014 | B.Sc. in Computer Engineering & Informatics
Beirut Arab University (BAU), Lebanon |
2022
- Tolosana R., Vera-Rodriguez R., Gonzalez-Garcia C., Fierrez J., Morales A., Ortega-Garcia J., Carlos Ruiz-Garcia J., Romero-Tapiador S., Rengifo S., Caruana M., Jiang J., Lai S., Jin L., Zhu Y., Galbally J., Diaz M., Angel Ferrer M., Gomez-Barrero M., Hodashinsky I., Sarin K., Slezkin A., Bardamova M., Svetlakov M., Saleem M., Lia Szcs C., Kovari B., Pulsmeyer F., Wehbi M., Zanca D., Ahmad S., Mishra S., Jabin S.:
SVC-onGoing: Signature verification competition
In: Pattern Recognition 127 (2022), Article No.: 108609
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2022.108609
BibTeX: Download - Wehbi M., Luge D., Hamann T., Barth J., Kaempf P., Zanca D., Eskofier B.:
Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen
In: Sensors 22 (2022), p. 5347
ISSN: 1424-8220
DOI: 10.3390/s22145347
BibTeX: Download
2021
- Tolosana R., Vera-Rodriguez R., Gonzalez-Garcia C., Fierrez J., Rengifo S., Morales A., Ortega-Garcia J., Carlos Ruiz-Garcia J., Romero-Tapiador S., Jiang J., Lai S., Jin L., Zhu Y., Galbally J., Diaz M., Ferrer MA., Gomez-Barrero M., Hodashinsky I., Sarin K., Slezkin A., Bardamova M., Svetlakov M., Saleem M., Szücs CL., Kovari B., Pulsmeyer F., Wehbi M., Zanca D., Ahmad S., Mishra S., Jabin S.:
ICDAR 2021 Competition on On-Line Signature Verification
16th International Conference on Document Analysis and Recognition, ICDAR 2021 (Lausanne, CHE, 5. September 2021 - 10. September 2021)
In: Josep Lladós, Daniel Lopresti, Seiichi Uchida (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2021
DOI: 10.1007/978-3-030-86337-1_48
BibTeX: Download - Wehbi M., Hamann T., Barth J., Kaempf P., Zanca D., Eskofier B.:
Towards an IMU-based Pen Online Handwriting Recognizer
International Conference on Document Analysis and Recognition ICDAR 2021 (Lausanne, 5. September 2021 - 10. September 2021)
DOI: 10.1007/978-3-030-86334-0_19
BibTeX: Download
2020
- Ott F., Wehbi M., Hamann T., Barth J., Eskofier B., Mutschler C.:
The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning
In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4 (2020), p. 1-20
ISSN: 2474-9567
DOI: 10.1145/3411842
BibTeX: Download - Wehbi M., Hamann T., Barth J., Eskofier B.:
Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer
17th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Dortmund, 8. September 2020 - 10. September 2020)
DOI: 10.1109/ICFHR2020.2020.00061
BibTeX: Download
[B] = Bachelor’s Thesis, [M] = Master’s Thesis
| Scope | Topic | Area |
| B | Using speech recognition techniques for the application of online handwriting recognition using a sensor enhanced pen. | Machine Learning, Deep Learning |
| M | Development of models for the analysis of IMU sensor data for writing trajectory reconstruction using Neural Networks | Machine Learning, Deep Learning |
| M | Machine Learning for Dropout Prediction | Machine Learning, Deep Learning |
| B | User Handwriting Readability with Deep Learning | Machine Learning, Deep Learning |
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