ESRs

Luiza Ribeiro Marnet (ESR #1) owns a Master’s degree in Electrical Engineering, in the area of Artificial Intelligence, from the Federal University of Rio de Janeiro, and a Bachelor’s degree in Control and Automation Engineering from the Federal Fluminense Institute. During her Master’s, she worked with crack propagation monitoring using Acoustic Emissions. Before joining the REMARO Team, she worked as a temporary Professor at the Federal University of Rio de Janeiro and as a data scientist. Now, she is working at EIVA as a Ph.D. student at IT University of Copenhagen. In her part of the project, she works with the classification and detection of objects in underwater images using deep learning methods. As part of her project, she needs to assess the uncertainties of the models, turning the predictions more reliable. In this project, her main supervisor is Professor Andrzej Wąsowski and her co-supervisors are Doctor Yury Brodskiy and Doctor Stella Grasshof. Her current fields of interest are machine learning and computer vision.

Nael Jaber (ESR #3) holds a Bachelor in Mechatronics Engineering from Rafik Hariri University and a Masters in Mechanical Engineering from the American University of Beirut, Lebanon. During his graduate studies, he served as a graduate researcher at the Vision and Robotics Lab (VRL) of the American University of Beirut where he conducted an applied research in the field of Computer Vision. His master’s thesis aimed for the detection and localization of Processionary Moth nests in pine trees by proposing an AI-based solution which relies on fusing multi-modal imagery for the training of an advanced machine learning model. Nael is a researcher at DFKI, passionate about AI, computer vision, and sensor fusion. As part of the ETN – REMARO project, he is supervised by Prof. Dr. Frank Kirchner and co-supervised by Dr. Bilal Wehbe on his topic entitled “Sonar-based 3D reconstruction for dense underwater SLAM maps” where he will research novel techniques for 3D reconstruction in the aim of obtaining dense environmental representations in the underwater domain. Furthermore, he will develop and investigate sensor fusion algorithms of available underwater sensing modalities for the purpose of achieving enhanced and detailed underwater maps.

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Martin Aubard (ESR #5) owns his Bachelor’s degree in Electrical Engineering (2017) and his Master’s Degree in Control and Industrial Computing at the University of Technology of Troyes in France (2020). For his Master’s thesis, he developed an automated vision-based robotic arm at Sintef, located in Oslo in Norway. Within REMARO, he will work on developing algorithms for sonar-based navigation for underwater safety-critical applications. The aim is to perform safety analysis for navigation and surveying AUVs to mitigate and overcome risks. His main supervisor is Prof. Ana Maria Madureira from ISEP and his industrial supervisor is Luis Madureira from OMST. His current fields of research interest are robot navigation, machine learning, and computer vision.

Gustavo Silva (ESR #8) is a Ph.D. candidate at TU Delft, his Ph.D. goal is to push the state-of-art of self-adaptation for autonomous robots, more specifically underwater robots, endowing them with the capability to adapt their architecture during operation. His main supervisor is Carlos Hernández Corbato. As for his background, he holds a degree in Mechatronics Engineering from the Universidade Federal de Uberlândia, and a master’s degree in Automation and Systems Engineering from the Universidade Federal de Santa Catarina. During his bachelor’s degree, he had experience with humanoid robot soccer competitions, indoor positioning systems using passive RFIDs tags, and digital image processing applied to precision agriculture. His master’s degree was in the area of Multi-Agent Systems, more specifically he explored how to integrate active perception within the reasoning cycle of BDI agents. In addition, he worked briefly in the private sector developing robotics R&D projects aimed at the oil industry and supermarkets.

Derrick Odonkor (ESR #10) owns a bachelor’s degree in Computer Science from Ashesi University and a Master’s degree in Information Technology (specifically, Software Engineering and Robotics) from Carnegie Mellon University. He is currently pursuing his Ph.D. at the Institute of AI (University of Bremen) under the supervision of Prof. Michael Beetz. Also, under the supervision of Dr. Peter Kampmann at the ROSEN Research and Technology center, he is receiving industry experience on how AUVs work in the real world. His project is to explore the use of Unreal Engine to build a photo-realistic representation of the Underwater space, including the ontological model of the environment in KnowRob. In addition, he is currently interested in Robotics simulation, manipulation, and automation.

Mahya Mohammadi Kashani (ESR #12) is a Ph.D. student in Computer Science at the IT-University of Copenhagen (SQUARE group). She works as ESR12 under the supervision of Prof. Andrzej Wąsowski and co-supervising of Prof. Michael Beetz (University Bremen) and Dr. Peter Kampmann (Rosen Group). Her Ph.D. project mainly concentrates on designing a Bayesian-inference-based prospection method to improve the reliability of underwater robots performing inspection tasks. There she aims to develop a probabilistic decision-making model to assess risks and probabilities of undesirable states and use this model to assist in plan selection. She has recently become interested in probabilistic programming and probabilistic optimization. Before joining the REMARO group, her main research interests focused on pattern recognition algorithms, particularly sparse reconstruction/coding and search space reduction in the Automatic Image Annotation task. She also worked for one year as a computer vision engineer to develop the vision of industrial recycling robots.

Juliane Päßler (ESR #14) got her BSc and MSc from the University of Münster in mathematics with computer science as a minor subject. Her master’s thesis was on a topic at the crossroad of geometric group theory and mathematical logic. In the REMARO network she works at the University of Oslo under the supervision of Silvia Lizeth Tapia Tarifa, Carlos Hernández Corbato and Luis Madureira. Her Ph.D. project focuses on developing verification methods for self-adaptive systems. She aims to develop analysis techniques that are able to (i) verify that a reconfiguration of the self-adaptive system is required and (ii) verify reconfigurations of the system.