CV

Education

• 2018: Research Visit at University of California, Irvine (UCI)
  • Three months visit to Prof. Emre Neftci, funded by the DAAD FITweltweit travel grant
• 2015-2020: PhD at Karlsruher Institut für Technologie (KIT), Germany by the Human Brain Project
• 2015: Master 2 at Université Grenoble Alpes, France
  • International MoSIG degree in Graphics, Vision and Robotics
• 2013: Master 1 at Université de Strasbourg, France
  • Erasmus year in Durham University, England

Work experience

• 2015-Present: Research Scientist at FZI Forschungszentrum Informatik, Karlsruhe
  • Developing robot behaviors, vision algorithms, learning models and web interfaces for various projects
• 2015: Master Thesis in Sensor Fusion at INRIA, Grenoble, France
  • Evaluation of a closed-form solution solving the visual-inertial structure from motion problem
• 2014: Full-Stack Web Developer at Shwish, Melbourne, Australia
  • Development of an online gifting platform from scratch using the MEAN stack
• 2013: JavaScript/WebGL Developer at Skimlab, Strasbourg, France
  • Development of WebGL shaders for environment mapping and raytracing
• 2012-2013: Individual tutor in mathematics for high school students at Complétude
• 2012: Research Assistant in Computer Graphics, iCube, Strasbourg
  • Development of an application for deforming mesh on a virtual reality platform
• 2011: Research Assistant in Computer Graphics, iCube, Strasbourg
  • Interactive 3D cursor to ease the perception of depth in virtual reality applications

Skills

• Python
• C++
• JavaScript
• ROS
• PyTorch
• Linux

Languages

1. French
2. English
3. German

Extracurricular Activities

• Juggling
• Snowboard
• WWOOFing

Publications

Retina Color-Opponency Based Pursuit Implemented Through Spiking Neural Networks in the Neurorobotics Platform

Alessandro Ambrosano, Lorenzo Vannucci, Ugo Albanese, Murat Kirtay, Egidio Falotico, Georg Hinkel, Jacques Kaiser, Stefan Ulbrich, Paul Levi, Christian Morillas, Alois Knoll, Marc-Oliver Gewaltig, Cecilia Laschi, "Retina Color-Opponency Based Pursuit Implemented Through Spiking Neural Networks in the Neurorobotics Platform." In the proceedings of Conference on Biomimetic and Biohybrid Systems, 2016.

Simultaneous state initialization and gyroscope bias calibration in visual inertial aided navigation

Jacques Kaiser, Agostino Martinelli, Flavio Fontana, Davide Scaramuzza, "Simultaneous state initialization and gyroscope bias calibration in visual inertial aided navigation." IEEE Robotics and Automation Letters, 2016.

Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks

Jacques Kaiser, J Tieck, Christian Hubschneider, Peter Wolf, Michael Weber, Michael Hoff, Alexander Friedrich, Konrad Wojtasik, Arne Roennau, Ralf Kohlhaas, Rüdiger Dillmann, J. Zöllner, "Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks." In the proceedings of International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), 2016.

Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Egidio Falotico, Lorenzo Vannucci, Alessandro Ambrosano, Ugo Albanese, Stefan Ulbrich, Juan Vasquez, Georg Hinkel, Jacques Kaiser, Igor Peric, Oliver Denninger, Nino Cauli, Murat Kirtay, Arne Roennau, Gudrun Klinker, Axel Von, Luc Guyot, Daniel Peppicelli, Pablo Martínez-Cañada, Eduardo Ros, Patrick Maier, Sandro Weber, Manuel Huber, David Plecher, Florian Röhrbein, Stefan Deser, Alina Roitberg, Patrick Smagt, Rüdiger Dillman, Paul Levi, Cecilia Laschi, Alois Knoll, Marc-Oliver Gewaltig, "Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform." Frontiers in Neurorobotics, 2017.

Scaling up liquid state machines to predict over address events from dynamic vision sensors

Jacques Kaiser, Rainer Stal, Anand Subramoney, Arne Roennau, Rüdiger Dillmann, "Scaling up liquid state machines to predict over address events from dynamic vision sensors." Bioinspiration & Biomimetics, 2017.

Semi-Supervised Spiking Neural Network for One-Shot Object Appearance Learning

Igor Peric, Robert Hangu, Jacques Kaiser, Stefan Ulbrich, Arne Roennau, Johann Zoellner, Ruediger Dillman, "Semi-Supervised Spiking Neural Network for One-Shot Object Appearance Learning." In the proceedings of Proceedings of the 5th International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX,, 2017.

Spiking convolutional deep belief networks

Jacques Kaiser, David Zimmerer, J Tieck, Stefan Ulbrich, Arne Roennau, R{\"u}diger Dillmann, "Spiking convolutional deep belief networks." In the proceedings of International Conference on Artificial Neural Networks (ICANN), 2017.

Towards grasping with spiking neural networks for anthropomorphic robot hands

J Tieck, Heiko Donat, Jacques Kaiser, Igor Peric, Stefan Ulbrich, Arne Roennau, Marius Z{\"o}llner, R{\"u}diger Dillmann, "Towards grasping with spiking neural networks for anthropomorphic robot hands." In the proceedings of International Conference on Artificial Neural Networks, 2017.

Controlling a robot arm for target reaching without planning using spiking neurons

J Tieck, Lea Steffen, Jacques Kaiser, Daniel Reichard, Arne Roennau, Rüdiger Dillmann, "Controlling a robot arm for target reaching without planning using spiking neurons." In the proceedings of 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC), 2018.

Learning Movements by Imitation from Event-Based Visual Prediction

Jacques Kaiser, Rüdiger Dillmann, "Learning Movements by Imitation from Event-Based Visual Prediction." In the proceedings of 2textsuperscriptnd Human Brain Project Student Conference, 2018.

Learning continuous muscle control for a multi-joint arm by extending proximal policy optimization with a liquid state machine

Juan Tieck, Marin Pogancic, Jacques Kaiser, Arne Roennau, Marc-Oliver Gewaltig, R{\"u}diger Dillmann, "Learning continuous muscle control for a multi-joint arm by extending proximal policy optimization with a liquid state machine." In the proceedings of International Conference on Artificial Neural Networks, 2018.

Learning to reproduce visually similar movements by minimizing event-based prediction error

Jacques Kaiser, Svenja Melbaum, J. Tieck, Arne Roennau, Martin Butz, Rüdiger Dillmann, "Learning to reproduce visually similar movements by minimizing event-based prediction error." In the proceedings of International Conference on Biomedical Robotics and Biomechatronics (BIOROB), 2018.

Microsaccades for asynchronous feature extraction with spiking networks

Jacques Kaiser, Gerd Lindner, J. Tieck, Martin Schulze, Michael Hoff, Arne Roennau, R\"udiger Dillmann, "Microsaccades for asynchronous feature extraction with spiking networks." In the proceedings of International Conference on Development and Learning and Epigenetic Robotics (ICDL-EPIROB), 2018.

Microsaccades for neuromorphic stereo vision

Jacques Kaiser, Jakob Weinland, Philip Keller, Lea Steffen, J Tieck, Daniel Reichard, Arne Roennau, J{\"o}rg Conradt, R{\"u}diger Dillmann, "Microsaccades for neuromorphic stereo vision." In the proceedings of International Conference on Artificial Neural Networks, 2018.

Multi-modal motion activation for robot control using spiking neurons

J Tieck, Lea Steffen, Jacques Kaiser, Roenau Arne, Rüdiger Dillmann, "Multi-modal motion activation for robot control using spiking neurons." Biomedical Robotics and Biomechatronics (BioRob), 2018 IEEE International Conference on, 2018.

Triggering robot hand reflexes with human EMG data using spiking neurons

J. Tieck, Sandro Weber, Terrence Stewart, Arne Roennau, Rüdiger Dillmann, "Triggering robot hand reflexes with human EMG data using spiking neurons." In the proceedings of International Conference on Intelligent Autonomous Systems IAS-15, 2018.

Combining Motor Primitives for Perception Driven Target Reaching With Spiking Neurons

J. Tieck, Lea Steffen, Jacques Kaiser, Daniel Reichard, Arne Roennau, Ruediger Dillmann, "Combining Motor Primitives for Perception Driven Target Reaching With Spiking Neurons." International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2019.

Neuromorphic Stereo Vision: A Survey of Bio-Inspired Sensors and Algorithms

Lea Steffen, Daniel Reichard, Jakob Weinland, Jacques Kaiser, Arne Roennau, R{\"u}diger Dillmann, "Neuromorphic Stereo Vision: A Survey of Bio-Inspired Sensors and Algorithms." Frontiers in neurorobotics, 2019.

Running large-scale simulations on the Neurorobotics Platform to understand vision-the case of visual crowding

Alban Bornet, Jacques Kaiser, Alexander Kroner, Egidio Falotico, Alessandro Ambrosano, Kepa Cantero, Michael Herzog, Greg Francis, "Running large-scale simulations on the Neurorobotics Platform to understand vision-the case of visual crowding." Frontiers in neurorobotics, 2019.

Talks

Learning Movements by Imitation from Event-Based Visual Prediction

February 15, 2018

Talk at 2nd HBP Student Conference, Central Post Office, Ljubljana, Slovenia

Neurorobotics: an artificial body for an artificial brain

May 14, 2018

Talk at Pint of Science, Le Shadok, Strasbourg

Synaptic Plasticity Dynamics for Deep Continuous Local Learning

October 02, 2019

Talk at Computational and Systems Neuroscience (Cosyne), Lisbon, Portugal