Mohamad Wehbi

Dr. Mohamad Wehbi

Alumnus

Machine Learning and Data Analytics Lab
Department Artificial Intelligence in Biomedical Engineering (AIBE)

Room 01.016
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

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

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