I am working in Tobias Glasmachers group (theory of machine learning) at the Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany. My research interests are supervised machine learning and optimization.
Linkedin profile: https://www.linkedin.com/in/dr-ing-sahar-qaadan-81396321/
Since 2019: am a researcher in supervised machine learning.
2016-2019: Phd candidate in Tobias Glasmachers's group (Theory of machine learning) at the Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany. My research interests are supervised machine learning and optimization with (stochastic) gradient-based methods.
2015-2016: Research assistant and control engineer at the Institute of Neuroinformatik, Ruhr University Bochum, Germany. (Industrial project in the field of Autonomous Systems ADAF (for BMW) at NISYS GmbH in the technology center, Ruhr university Bochum).
2014-2015: Research assistant and control engineer at the Institute of Neuroinformatik, Ruhr University Bochum, Germany. (Industrial project in thermal management control of Data center using Neural Network and PLC systems in the technology center, Ruhr university Bochum).
2014: Internship in (supervised) Machine Learning form Technical Calculation Department, Thyssenkrupp Rothe Erde in Lippstadt, Germany.
2011-2014: Msc. in Automation and Robotics from the School of Electrical Engineering and Information Technology, Technical University Dortmund in Dortmund, Germany.
2008-2011: Teaching assistant and lab supervisor at the School of Applied Technical Sciences, German Jordanian University in Amman, Jordan.
2003-2008: Bsc. in Mechatronics engineering from the Faculty of Engineering and Technology, Universty of Jordan in Amman, Jordan.
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Dual SVM Training on a BudgetQaadan, S., Schüler, M., & Glasmachers, T.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods SCITEPRESS - Science and Technology Publications
@inproceedings{QaadanSchülerGlasmachers2019, author = {Qaadan, Sahar and Schüler, Merlin and Glasmachers, Tobias}, title = {Dual SVM Training on a Budget}, booktitle = {Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods}, publisher = {SCITEPRESS - Science and Technology Publications}, year = {2019}, }Qaadan, S., Schüler, M., & Glasmachers, T.. (2019). Dual SVM Training on a Budget. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications.2018
Speeding Up Budgeted Dual SVM Training with Precomputed GSSGlasmachers, T., & Qaadan, S.(M. M. -y-G. Ruben Vera-Rodriguez Sergio Velastin & Morales, A., Eds.), The 23rd Iberoamerican Congress on Pattern Recognition@postproceedings{GlasmachersQaadan2018b, author = {Glasmachers, Tobias and Qaadan, Sahar}, title = {Speeding Up Budgeted Dual SVM Training with Precomputed GSS}, year = {2018}, }Glasmachers, T., & Qaadan, S.. (2018). Speeding Up Budgeted Dual SVM Training with Precomputed GSS. (M. M. -y-G. Ruben Vera-Rodriguez Sergio Velastin & Morales, A., Eds.), The 23rd Iberoamerican Congress on Pattern Recognition.Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section SearchGlasmachers, T., & Qaadan, S.In G. Nicosia, Pardalos, P., Giuffrida, G., Umeton, R., & Sciacca, V. (Eds.), The 4th International Conference on machine Learning, Optimization and Data science - LOD 2018@inproceedings{GlasmachersQaadan2018, author = {Glasmachers, Tobias and Qaadan, Sahar}, title = {Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search}, booktitle = {The 4th International Conference on machine Learning, Optimization and Data science - LOD 2018}, editor = {Nicosia, Giuseppe and Pardalos, Panos and Giuffrida, Giovanni and Umeton, Renato and Sciacca, Vincenzo}, year = {2018}, }Glasmachers, T., & Qaadan, S.. (2018). Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search. In G. Nicosia, Pardalos, P., Giuffrida, G., Umeton, R., & Sciacca, V. (Eds.), The 4th International Conference on machine Learning, Optimization and Data science - LOD 2018.Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM TrainingQaadan, S., & Glasmachers, T.13th WiML Workshop, Co-located with NeurIPS, Montreal, QC, Canada@inproceeding{QaadanGlasmachers2018c, author = {Qaadan, Sahar and Glasmachers, Tobias}, title = {Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training}, year = {2018}, }Qaadan, S., & Glasmachers, T.. (2018). Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training. 13th WiML Workshop, Co-located with NeurIPS, Montreal, QC, Canada.Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM TrainingQaadan, S., & Glasmachers, T.arXiv.org@techreport{QaadanGlasmachers2018, author = {Qaadan, Sahar and Glasmachers, Tobias}, title = {Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training}, institution = {arXiv.org}, number = {arXiv:1806.10179}, year = {2018}, }Qaadan, S., & Glasmachers, T.. (2018). Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training (No. arXiv:1806.10179). arXiv.org.Multi-Merge Budget Maintenance for Stochastic Coordinate Ascent SVM TrainingQaadan, S., & Glasmachers, T.Artificial Intelligence International Conference – A2IC 2018@postproceedings{QaadanGlasmachers2018b, author = {Qaadan, Sahar and Glasmachers, Tobias}, title = {Multi-Merge Budget Maintenance for Stochastic Coordinate Ascent SVM Training}, year = {2018}, }Qaadan, S., & Glasmachers, T.. (2018). Multi-Merge Budget Maintenance for Stochastic Coordinate Ascent SVM Training. Artificial Intelligence International Conference – A2IC 2018.Ruhr University Bochum, Bochum, Germany:
2018: Informatik 1 https://www.ei.rub.de/studium/lehrveranstaltungen/634/
2016: Selected topics in neurocomputing: Intelligence
German Jordanian University, Amman, Jordan:
2008-2011: Lab supervisor in automatic control system, programmable logic controllers (PLC), automation systems and smart buildings, hydraulics and pneumatics, manual drawing, AUTOCAD.
Budget Accelerated Coordinate Descent with Adaptive Coordinate Frequencies Large-scale SVM Training.
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, GermanyTel: (+49) 234 32-28967
Fax: (+49) 234 32-14210