- RUB
- Computer Science
- INI
- People
- Amr Abourayya, M.Sc.
Since I was a little kid, mathematics and programming have been my passion. I still remember sitting in front of my XP operating system computer, with Visual Basic opened in, making it print "Hello, Amr" for the very first time. It was almost magic, being able to get the computer to do whatever I wanted, just by typing in these funny little symbols, limited only by my own imagination and ingenuity.
Since that time, I finished high school in mathematics with a grade 99% then I hold a BSc in civil engineering with a graduation thesis focused on developing software to calculate the natural frequencies and draw the mode of shapes of high-rise buildings. Recently, I finished a double master's degree program in mathematics and programming with a thesis focused on implementing a deep neural network to solve nonlinear stiff ODE systems faster than the normal traditional solver.
Currently, I am a PhD student at IKIM ( Institute for Artificial Intelligence in Medicine) and a Member of the Trustworthy Machine Learning research group. My current work is developing /investigating novel approaches to privacy-preserving federated learning healthcare applications.
Selected Publications
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FAM: Relative Flatness Aware MinimizationAdilova, L., Abourayya, A., Li, J., Dada, A., Petzka, H., Egger, J., et al.TAGML2023
@article{AdilovaAbourayyaLiEtAl2023, author = {Adilova, Linara and Abourayya, Amr and Li, Jianning and Dada, Amin and Petzka, Henning and Egger, Jan and Kleesiek, Jens and Kamp, Michael}, title = {FAM: Relative Flatness Aware Minimization}, journal = {TAGML2023}, year = {2023}, }Adilova, L., Abourayya, A., Li, J., Dada, A., Petzka, H., Egger, J., et al. (2023). FAM: Relative Flatness Aware Minimization. TAGML2023.MedShapeNet – A Large-Scale Dataset of 3D Medical Shapes for Computer VisionLi, J., Pepe, A., Gsaxner, C., Luijten, G., Jin, Y., Ambigapathy, N., et al.@misc{LiPepeGsaxnerEtAl2023, author = {Li, Jianning and Pepe, Antonio and Gsaxner, Christina and Luijten, Gijs and Jin, Yuan and Ambigapathy, Narmada and Nasca, Enrico and Solak, Naida and Melito, Gian Marco and Vu, Viet Duc and Memon, Afaque R. and Chen, Xiaojun and Kirschke, Jan Stefan and de la Rosa, Ezequiel and Christ, Patrick Ferdinand and Li, Hongwei Bran and Ellis, David G. and Aizenberg, Michele R. and Gatidis, Sergios and Küstner, Thomas and Shusharina, Nadya and Heller, Nicholas and Andrearczyk, Vincent and Depeursinge, Adrien and Hatt, Mathieu and Sekuboyina, Anjany and Löffler, Maximilian and Liebl, Hans and Dorent, Reuben and Vercauteren, Tom and Shapey, Jonathan and Kujawa, Aaron and Cornelissen, Stefan and Langenhuizen, Patrick and Ben-Hamadou, Achraf and Rekik, Ahmed and Pujades, Sergi and Boyer, Edmond and Bolelli, Federico and Grana, Costantino and Lumetti, Luca and Salehi, Hamidreza and Ma, Jun and Zhang, Yao and Gharleghi, Ramtin and Beier, Susann and Sowmya, Arcot and Garza-Villarreal, Eduardo A. and Balducci, Thania and Angeles-Valdez, Diego and Souza, Roberto and Rittner, Leticia and Frayne, Richard and Ji, Yuanfeng and Chatterjee, Soumick and Dubost, Florian and Schreiber, Stefanie and Mattern, Hendrik and Speck, Oliver and Haehn, Daniel and John, Christoph and Nürnberger, Andreas and Pedrosa, João and Ferreira, Carlos and Aresta, Guilherme and Cunha, António and Campilho, Aurélio and Suter, Yannick and Garcia, Jose and Lalande, Alain and Audenaert, Emmanuel and Krebs, Claudia and Leeuwen, Timo Van and Vereecke, Evie and Röhrig, Rainer and Hölzle, Frank and Badeli, Vahid and Krieger, Kathrin and Gunzer, Matthias and Chen, Jianxu and Dada, Amin and Balzer, Miriam and Fragemann, Jana and Jonske, Frederic and Rempe, Moritz and Malorodov, Stanislav and Bahnsen, Fin H. and Seibold, Constantin and Jaus, Alexander and Santos, Ana Sofia and Lindo, Mariana and Ferreira, André and Alves, Victor and Kamp, Michael and Abourayya, Amr and Nensa, Felix and Hörst, Fabian and Brehmer, Alexander and Heine, Lukas and Podleska, Lars E. and Fink, Matthias A. and Keyl, Julius and Tserpes, Konstantinos and Kim, Moon-Sung and Elhabian, Shireen and Lamecker, Hans and Zukić, Dženan and Paniagua, Beatriz and Wachinger, Christian and Urschler, Martin and Duong, Luc and Wasserthal, Jakob and Hoyer, Peter F. and Basu, Oliver and Maal, Thomas and Witjes, Max J. H. and Chang, Ti-chiun and Ahmadi, Seyed-Ahmad and Luo, Ping and Menze, Bjoern and Reyes, Mauricio and Davatzikos, Christos and Puladi, Behrus and Kleesiek, Jens and Egger, Jan}, title = {MedShapeNet – A Large-Scale Dataset of 3D Medical Shapes for Computer Vision}, year = {2023}, }Li, J., Pepe, A., Gsaxner, C., Luijten, G., Jin, Y., Ambigapathy, N., et al. (2023). MedShapeNet – A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.2022
AIMHI: Protecting Sensitive Data through Federated Co-TrainingAbourayya, A., Kamp, M., Ayday, E., Kleesiek, J., Rao, K., Webb, G. I., & Rao, B.In FL-NeurIPS 2022)@inproceedings{AbourayyaKampAydayEtAl2022, author = {Abourayya, Amr and Kamp, Michael and Ayday, Erman and Kleesiek, Jens and Rao, Kanishka and Webb, Geoffrey I. and Rao, Bharat}, title = {AIMHI: Protecting Sensitive Data through Federated Co-Training}, booktitle = {FL-NeurIPS 2022)}, year = {2022}, }Abourayya, A., Kamp, M., Ayday, E., Kleesiek, J., Rao, K., Webb, G. I., & Rao, B. (2022). AIMHI: Protecting Sensitive Data through Federated Co-Training. In FL-NeurIPS 2022).2021
Artificial Neural Networks Implementation to Predict the Solution of Nonlinear ODE System for the Application to Turbulent Combustion ModelingAbourayya, A.Master’s thesis, TU Wien@mastersthesis{Abourayya2021, author = {Abourayya, Amr}, title = {Artificial Neural Networks Implementation to Predict the Solution of Nonlinear ODE System for the Application to Turbulent Combustion Modeling}, year = {2021}, doi = {10.34726/HSS.2021.95801}, }Abourayya, A. (2021). Artificial Neural Networks Implementation to Predict the Solution of Nonlinear ODE System for the Application to Turbulent Combustion Modeling. Master’s thesis, TU Wien. Retrieved from https://repositum.tuwien.at/handle/20.500.12708/187602018
Unveiling CO adsorption on Cu surfaces: new insights from molecular orbital principlesGameel, K. M., Sharafeldin, I. M., Abourayya, A. U., Biby, A. H., & Allam, N. K.Physical Chemistry Chemical Physics, 20(40), 25892–25900@article{GameelSharafeldinAbourayyaEtAl2018, author = {Gameel, Kareem M. and Sharafeldin, Icell M. and Abourayya, Amr U. and Biby, Ahmed H. and Allam, Nageh K.}, title = {Unveiling CO adsorption on Cu surfaces: new insights from molecular orbital principles}, journal = {Physical Chemistry Chemical Physics}, volume = {20}, number = {40}, pages = {25892–25900}, year = {2018}, doi = {10.1039/c8cp04253e}, }Gameel, K. M., Sharafeldin, I. M., Abourayya, A. U., Biby, A. H., & Allam, N. K. (2018). Unveiling CO adsorption on Cu surfaces: new insights from molecular orbital principles. Physical Chemistry Chemical Physics, 20(40), 25892–25900. http://doi.org/10.1039/c8cp04253e-
FAM: Relative Flatness Aware MinimizationAdilova, L., Abourayya, A., Li, J., Dada, A., Petzka, H., Egger, J., et al.TAGML2023
@article{AdilovaAbourayyaLiEtAl2023, author = {Adilova, Linara and Abourayya, Amr and Li, Jianning and Dada, Amin and Petzka, Henning and Egger, Jan and Kleesiek, Jens and Kamp, Michael}, title = {FAM: Relative Flatness Aware Minimization}, journal = {TAGML2023}, year = {2023}, }Adilova, L., Abourayya, A., Li, J., Dada, A., Petzka, H., Egger, J., et al. (2023). FAM: Relative Flatness Aware Minimization. TAGML2023.MedShapeNet – A Large-Scale Dataset of 3D Medical Shapes for Computer VisionLi, J., Pepe, A., Gsaxner, C., Luijten, G., Jin, Y., Ambigapathy, N., et al.@misc{LiPepeGsaxnerEtAl2023, author = {Li, Jianning and Pepe, Antonio and Gsaxner, Christina and Luijten, Gijs and Jin, Yuan and Ambigapathy, Narmada and Nasca, Enrico and Solak, Naida and Melito, Gian Marco and Vu, Viet Duc and Memon, Afaque R. and Chen, Xiaojun and Kirschke, Jan Stefan and de la Rosa, Ezequiel and Christ, Patrick Ferdinand and Li, Hongwei Bran and Ellis, David G. and Aizenberg, Michele R. and Gatidis, Sergios and Küstner, Thomas and Shusharina, Nadya and Heller, Nicholas and Andrearczyk, Vincent and Depeursinge, Adrien and Hatt, Mathieu and Sekuboyina, Anjany and Löffler, Maximilian and Liebl, Hans and Dorent, Reuben and Vercauteren, Tom and Shapey, Jonathan and Kujawa, Aaron and Cornelissen, Stefan and Langenhuizen, Patrick and Ben-Hamadou, Achraf and Rekik, Ahmed and Pujades, Sergi and Boyer, Edmond and Bolelli, Federico and Grana, Costantino and Lumetti, Luca and Salehi, Hamidreza and Ma, Jun and Zhang, Yao and Gharleghi, Ramtin and Beier, Susann and Sowmya, Arcot and Garza-Villarreal, Eduardo A. and Balducci, Thania and Angeles-Valdez, Diego and Souza, Roberto and Rittner, Leticia and Frayne, Richard and Ji, Yuanfeng and Chatterjee, Soumick and Dubost, Florian and Schreiber, Stefanie and Mattern, Hendrik and Speck, Oliver and Haehn, Daniel and John, Christoph and Nürnberger, Andreas and Pedrosa, João and Ferreira, Carlos and Aresta, Guilherme and Cunha, António and Campilho, Aurélio and Suter, Yannick and Garcia, Jose and Lalande, Alain and Audenaert, Emmanuel and Krebs, Claudia and Leeuwen, Timo Van and Vereecke, Evie and Röhrig, Rainer and Hölzle, Frank and Badeli, Vahid and Krieger, Kathrin and Gunzer, Matthias and Chen, Jianxu and Dada, Amin and Balzer, Miriam and Fragemann, Jana and Jonske, Frederic and Rempe, Moritz and Malorodov, Stanislav and Bahnsen, Fin H. and Seibold, Constantin and Jaus, Alexander and Santos, Ana Sofia and Lindo, Mariana and Ferreira, André and Alves, Victor and Kamp, Michael and Abourayya, Amr and Nensa, Felix and Hörst, Fabian and Brehmer, Alexander and Heine, Lukas and Podleska, Lars E. and Fink, Matthias A. and Keyl, Julius and Tserpes, Konstantinos and Kim, Moon-Sung and Elhabian, Shireen and Lamecker, Hans and Zukić, Dženan and Paniagua, Beatriz and Wachinger, Christian and Urschler, Martin and Duong, Luc and Wasserthal, Jakob and Hoyer, Peter F. and Basu, Oliver and Maal, Thomas and Witjes, Max J. H. and Chang, Ti-chiun and Ahmadi, Seyed-Ahmad and Luo, Ping and Menze, Bjoern and Reyes, Mauricio and Davatzikos, Christos and Puladi, Behrus and Kleesiek, Jens and Egger, Jan}, title = {MedShapeNet – A Large-Scale Dataset of 3D Medical Shapes for Computer Vision}, year = {2023}, }Li, J., Pepe, A., Gsaxner, C., Luijten, G., Jin, Y., Ambigapathy, N., et al. (2023). MedShapeNet – A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.2022
AIMHI: Protecting Sensitive Data through Federated Co-TrainingAbourayya, A., Kamp, M., Ayday, E., Kleesiek, J., Rao, K., Webb, G. I., & Rao, B.In FL-NeurIPS 2022)@inproceedings{AbourayyaKampAydayEtAl2022, author = {Abourayya, Amr and Kamp, Michael and Ayday, Erman and Kleesiek, Jens and Rao, Kanishka and Webb, Geoffrey I. and Rao, Bharat}, title = {AIMHI: Protecting Sensitive Data through Federated Co-Training}, booktitle = {FL-NeurIPS 2022)}, year = {2022}, }Abourayya, A., Kamp, M., Ayday, E., Kleesiek, J., Rao, K., Webb, G. I., & Rao, B. (2022). AIMHI: Protecting Sensitive Data through Federated Co-Training. In FL-NeurIPS 2022).2021
Artificial Neural Networks Implementation to Predict the Solution of Nonlinear ODE System for the Application to Turbulent Combustion ModelingAbourayya, A.Master’s thesis, TU Wien@mastersthesis{Abourayya2021, author = {Abourayya, Amr}, title = {Artificial Neural Networks Implementation to Predict the Solution of Nonlinear ODE System for the Application to Turbulent Combustion Modeling}, year = {2021}, doi = {10.34726/HSS.2021.95801}, }Abourayya, A. (2021). Artificial Neural Networks Implementation to Predict the Solution of Nonlinear ODE System for the Application to Turbulent Combustion Modeling. Master’s thesis, TU Wien. Retrieved from https://repositum.tuwien.at/handle/20.500.12708/187602018
Unveiling CO adsorption on Cu surfaces: new insights from molecular orbital principlesGameel, K. M., Sharafeldin, I. M., Abourayya, A. U., Biby, A. H., & Allam, N. K.Physical Chemistry Chemical Physics, 20(40), 25892–25900@article{GameelSharafeldinAbourayyaEtAl2018, author = {Gameel, Kareem M. and Sharafeldin, Icell M. and Abourayya, Amr U. and Biby, Ahmed H. and Allam, Nageh K.}, title = {Unveiling CO adsorption on Cu surfaces: new insights from molecular orbital principles}, journal = {Physical Chemistry Chemical Physics}, volume = {20}, number = {40}, pages = {25892–25900}, year = {2018}, doi = {10.1039/c8cp04253e}, }Gameel, K. M., Sharafeldin, I. M., Abourayya, A. U., Biby, A. H., & Allam, N. K. (2018). Unveiling CO adsorption on Cu surfaces: new insights from molecular orbital principles. Physical Chemistry Chemical Physics, 20(40), 25892–25900. http://doi.org/10.1039/c8cp04253e2017
Theoretical and DFT Analysis of the CO Adsorption Mechanism Late Transition Metal SurfacesAbourayya, A., Gameel, K. M., Sharafeldin, I. M., Biby, A. H., & Allam, N. K.NanoWorld Conference, Bosten, USA@article{AbourayyaGameelSharafeldinEtAl2017, author = {Abourayya, Amr and Gameel, Kareem M and Sharafeldin, Icell M and Biby, Ahmed H and Allam, Nageh K}, title = {Theoretical and DFT Analysis of the CO Adsorption Mechanism Late Transition Metal Surfaces}, journal = {NanoWorld Conference, Bosten, USA}, year = {2017}, }Abourayya, A., Gameel, K. M., Sharafeldin, I. M., Biby, A. H., & Allam, N. K. (2017). Theoretical and DFT Analysis of the CO Adsorption Mechanism Late Transition Metal Surfaces. NanoWorld Conference, Bosten, USA.The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and 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 psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.
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2023