Mostafa Wahby

Postdoctoral researcher @ ITI - University of Lübeck

Education

2015 – 2019

University of Lübeck

Ph.D. Computer Science

Lübeck, Germany

in Swarm Robotics and Machine Learning.
Thesis title: Autonomous Shaping of Robot-Plant Bio-Hybrids
Supervisor: Prof. Dr.-Ing. Heiko Hamann

2011 – 2014

Paderborn University

M.Sc. Computer Science

Paderborn, Germany

Specialization: Embedded Systems and System Software.
Thesis title: “Autonomous Parallel Parking of a Car-Like Mobile Robot by Evolution of Artificial Neural Networks"
Supervisor: Prof. Dr.-Ing. Heiko Hamann

2003 – 2008

MSA University
Greenwich University

B.Sc. Computer Engineering

Cairo, Egypt

B.Sc. Project: “Hardware and Software Implementation of an Mp3 Player"

Exployment History

10.2020 – Present

University of Lübeck

Postdoctoral researcher

Lübeck, Germany

Training world models for dangerous pedestrian behavior prediction in autonomous driving and developing methods to increase explainability in AI systems.

10.2019 – 09.2020

IRIDIA - Universite' Libre de Bruxelles

Postdoctoral researcher

Brussels, Belgium

Investigating self-organized networks in heterogeneous robot swarms (UAVs and ground robots) for formation control and path planning. Building custom UAVs based on UP Core Linux board and pixhawk flight controller and installing Raspberry Pi extensions on e-puck robots to improve their computational capabilities.

04.2019 – 09.2019

University of Lübeck

Postdoctoral researcher

Lübeck, Germany

Building a swarm of plant-shaping robots within the EU project "florarobotica".

06.2013 – 10.2013

MSA AUER GmbH

Internship

Berlin, Germany

Developing desktop/web applications using C#, WPF, and ASP.NET MVC 4. Developing android application using Xamarin.

01.2013 – 03.2013

Heinz Nixdorf Institute

Student Research Assistant

Paderborn, Germany

Developing a software which manages and monitors a driving simulator system (TRAFFIS).

01.2010 – 01.20211

Silverkey Technologies

Software Developer

Giza, Egypt

Dveloping web applications using ASP.NET MVC.

Journal Articles

01

Heinrich, M. K., Soorati, M. D., Kaiser, T., Wahby, M., and Hamann, H. (2019). Robustness, scalability, and self-x features in industrial applications. it - Information Technology, 61(4), 159–167. doi:10.1515/itit-2019-0003

02

Heinrich, M. K., von Mammen, S., Hofstadler, D. N., Wahby, M., Zahadat, P., Skrzypczak, T., Soorati, M. D., Krela, R., Kwiatkowski, W., Schmickl, T., Ayres, P., Stoy, K., and Hamann, H. (2019). Constructing living buildings: a review of relevant technologies for a novel application of biohybrid robotics. Royal Society Interface, 16(156), 20190238. doi:10.1098/rsif.2019.0238

03

Wahby, M., Heinrich, M. K., Hofstadler, D. N., Petzold, J., Kuksin, I., Zahadat, P., Schmickl, T., Ayres, P., and Hamann, H. (2019). Robotic Sensing and Stimuli Provision for Guided Plant Growth. Journal of Visualized Experiments (JoVE), 149. doi:10.3791/59835

04

Wahby, M., Heinrich, M. K., Hofstadler, D. N., Neufeld, E., Kuksin, I., Zahadat, P., Schmickl, T., Ayres, P., and Hamann, H. (2018). Autonomously Shaping Natural Climbing Plants: a Bio-Hybrid Approach. Royal Society Open Science, 5(10). doi:10.1098/rsos.180296

05

Hofstadler, D. N., Wahby, M., Heinrich, M. K., Hamann, H., Zahadat, P., Ayres, P., and Schmickl, T. (2017). Evolved Control of Natural Plants: Crossing the Reality Gap for User-Defined Steering of Growth and Motion. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 12(3), 15. doi:10.1145/3124643

06

Hamann, H., Khaluf, Y., Botev, J., Divband Soorati, M., Ferrante, E., Kosak, O., Montanier, J., Mostaghim, S., Redpath, R., Timmis, J., Veenstra, F., Wahby, M., Zamuda, A. (2016). Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-Organizing Systems. Frontiers in Robotics and AI, 3(14). doi:10.3389/frobt.2016.00014

07

Wahby, M., Weinhold, A. and Hamann, H. (2016). Revisiting BEECLUST: Aggregation of Swarm Robots with Adaptiveness to Different Light Settings. EAI Endorsed Trans. Collaborative Computing, 2(9), e1. doi:10.4108/eai.3-12-2015.2262877

Conference Proceedings

01

Hamann, H., Bogdan, S., Diaz-Espejo, A., García-Carmona, L., Hernandez-Santana, V., Kernbach, S., ... Wahby, M.. Watchplant: networked bio-hybrid systems for pollution monitoring of urban areas. In Proceedings of the Artificial Life Conference. Alife ’21. (accepted). MIT Press.

02

Wahby, M., Petzold, J., and Hamann, H. (2021). A concept of full plant morphology modeling for robot-plant bio-hybrids. In Proceedings of the Artificial Life Conference. Alife ’21. (accepted). MIT Press.

03

Jamshidpey, A., Zhu, W., Wahby, M., Allwright, M., Heinrich, M. K., and Dorigo, M. (2020). Multi-robot coverage using self-organized networks for central coordination. In Proceedings of the International Conference on Swarm Intelligence. ANTS ’20. Springer International Publishing. doi:10.1007/978-3-030-60376-2_17

04

Eschke, C., Heinrich, M. K., Wahby, M., Schmickl, T., and Hamann, H. (2019). Self-organized adaptive paths in multi-robot manufacturing: reconfigurable and pattern-independent fibre deployment. In Proceedings of the International Conference on Intelligent Robots and Systems. IROS ’19. doi:10.1109/IROS40897.2019.8967951

05

Wahby, M., Petzold, J., Eschke, C., Schmickl, T., and Hamann, H. (2019). Collective Change Detection: Adaptivity to Dynamic Swarm Densities and Light Conditions in Robot Swarms. In Proceedings of the Artificial Life Conference (pp. 165–172). Alife ’19. Newcastle, United Kingdom: MIT Press. doi:10.1162/isal_a_00233

06

Wahby, M., Heinrich, M. K., Hofstadler, D. N., Zahadat, P., Risi, S., Ayres, P., Schmickl, T., and Hamann, H. (2018). A Robot to Shape your Natural Plant: The Machine Learning Approach to Model and Control Bio-Hybrid Systems. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 165–172). GECCO ’18. Kyoto, Japan: ACM. doi:10.1145/3205455.3205516

07

Hamann, H., Markarian, C., Meyer auf der Heide, F., and Wahby, M.. (2018). Pick, Pack, & Survive: Charging Robots in a Modern Warehouse based on Online Connected Dominating Sets. In LIPIcs-Leibniz International Proceedings in Informatics (Vol. 100). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik. doi:10.4230/LIPIcs.FUN.2018.22

08

Heinrich, M. K., Wahby, M., Divband Soorati, M., Hofstadler, D. N., Zahadat, P., Ayres, P., Støy, K., and Hamann, H. (2016). Self-Organized Construction with Continuous Building Material: Higher Flexibility based on Braided Structures. In Proc. of the 1st International Workshop on Self-organising Construction (SOCO) (pp. 154–159). IEEE. doi:10.1109/FAS-W.2016.43

09

Wahby, M., Hofstadler, D. N., Heinrich, M. K., Zahadat, P., and Hamann, H. (2016). An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap. In Self-Adaptive and Self-Organizing Systems (SASO), 2016 IEEE 10th International Conference on (pp. 21–30). IEEE. doi:10.1109/SASO.2016.8

10

Hamann, H., Wahby, M., Schmickl, T., Zahadat, P., Hofstadler, D. N., Støy, K., Risi, S., Faina, A., Veenstra, F., Kernbach, S., Kuksin, I., Kernbach, O., Ayres, P., and Wojtaszek, P. (2015). Flora robotica – Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids. In Proc. of IEEE Symposium on Computational Intelligence (IEEE SSCI 2015) (pp. 1102–1109). IEEE. doi:10.1109/SSCI.2015.158

11

Wahby, M., Divband Soorati, M., von Mammen, S., and Hamann, H. (2015). Evolution of Controllers for Robot-Plant Bio-Hybdrids: A Simple Case Study Using a Model of Plant Growth and Motion. In Proc. of the 25th Workshop on Computational Intelligence) (pp. 67–86). KIT Scientific Publishing. doi:10.5445/KSP/1000049620

12

Wahby, M. and Hamann, H. (2015). On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking. In Applications of Evolutionary Computation (EvoApplications 2015) (Vol. 9028, pp. 759–770). Springer [best paper nominee (EvoRobot track)]. doi:10.1007/978-3-319-16549-3_61