Doreen Jirak, Dr.rer.nat.
Postdoctoral Research and Teaching Associate
Knowledge Technology
Address
Wo kämen wir hin, wenn alle sagten, wo kämen wir hin, und niemand ginge, um einmal zu schauen, wohin man käme, wenn man ginge. (Kurt Marti)
Where would we be, if everyone said, where would we be and no one went to see, where we would be, if we went.
I am working as an independent research collaborator at the Robotics, Brain, and Cognitive Science Unit (RBCS) at the Istituto Italiano di Tecnologia (IIT), Genoa, Italy. In an IIT-NISSAN Motor project collaboration, together with Prof. Giulio Sandini and Dr. Francesco Rea, my research focuses on cutting-edge machine learning techniques for social robots in automotive industry.
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Research Community Activities
- Reviewer (excerpt): HRI, IJCNN, IROS, ICANN, Neurocomputing, Neural Networks, Transactions on Neural Networks and Learning Systems, Transactions on Affective Computing
- Guest Editor: Frontiers Topic "Closing the Loop: From Human Behavior to Multisensory Robots"
- Guest Editor: Cognitive System Research
- Associate Editor: IEEE ICDL-EPIROB 2020, Valparaiso, Chile (online due to Covid19 pandemics)
- Invited Speaker: ISINA Symposium, 03/2020, TU Chemnitz, Germany (canceled due to Covid19 pandemics)
- Visiting Researcher: INRIA Bordeaux, Institut des Maladies Neurodegeneratives CNRS UMR , 2018, Bordeaux, France
- Organizer: Workshop on Crossmodal Learning for Intelligent Robotics, IEEE/RJS IROS 2018, Madrid, Spain
- Invited speaker: 1st International Workshop on on Affective and Assistive Robotics, 2018, Recife, Brazil
- Organizer: Workshop on Computational Models for Crossmodal Learning at IEEE ICDL-EPIROB 2017, Lisbon, Portugal
- Organizer/Speaker: Human-Machine Interaction Special Session, International Conference on Artificial Neural Networks, ICANN 2014, Hamburg, Germany
Grants/Awards
- Seal of Excellence, Marie Sklodowska Curie IF, 2020 (score: 91.8/92.4)
- Travel Grant Equal Opportunity Unit of UHH for ISINA, 2020
- DAAD funded Visiting Researcher, Bordeaux, France, 2018
- Travel Grant UHH IJCNN Conference, Rio de Janeiro, Brazil, 2018
- Young academics funding from Körber Fond, Organization Special Session ICANN 2014
- Travel Grant UHH ICAR Conference, Montevideo, Uruguay, 2013
Affiliations
- Reservoir Computing Task Force
- Gesellschaft für Informatik
- EU Cognition-Society for Cognitive Systems
- IEEE Computer Society
Education and Jobs
05/2017-05/2020: Teaching and Research Associate (Post Doc).
Voluntary and Academic Service
- I am a mentor on CyberMentor platform for MINT-Girls (University Erlangen-Nürnberg)
- I am a classical workers-class child and understand possible struggles involved in studying. You are also the first in your family with A-levels and want to study but do not know what, how, if at all? Ask us at Arbeiterkind.
- Representative of Teaching and Research Associates at the Department of Informatics (Fachbereichsrat)
- Member of Doctoral Committee of the department (Fachpromotionsausschuss)
Publications
Completed Theses:
- Application and Analysis of Classification in Textcategorization: A Comparative Study, Stefan Thomas (BSc Thesis)
- Determining Optimal Feature-Vector Length for Text Categorization Approaches, Marco Jendryczko (BSc Thesis)
- Timescale independent pattern detection with Echo State Networks, Timur Olzhabaev (BSc Thesis)
- Using online gesture learning with Echo State Networks to control an iCub robot head, Konstantin Kobs (BSc Thesis)
- Inertial Measurement Unit Based Multi User Gesture Recognition, Stephan Tietz (BSc Thesis)
- Empirical Exploration of a Modified Mobile Consumer EEG System, Marta Aurelia Nevermann (BSc Thesis, Department of Psychology, 2nd reviewer)
- Storm Surge Prediction for Hamburg with Artificial Neural Networks, Meike Zimmermann (BSc Thesis)
- Implementation and Evaluation of a Deictic Gesture Interface with the NICO robot, David Biertimpel (BSc Thesis)
- Erfassung und Verarbeitung von Gesten mittels Musterkennung auf Smartwatches, The-Vinh Jackie Huynh (BSc Thesis, 2nd reviewer, cooperation VSIS group)
- Evaluation of Grayscale Hand Gesture Segmentation with Fully Convolutional Neural Networks, Lukas Uzolas (BSc Thesis)
- Robots on the Move: An Evaluation of the Combination of a Deictic Gesture Interface and Object Recognition with the NICO robot, Timo Kreuzer (BSc thesis)
- Real-Time Robot Control Using EMG-Classification with Neural Networks, Julian Lorenz (BSc Thesis)
- Using Deep Neural Networks and Transfer Learning for Body Gesture Localization in Multi-Person Scenarios, Marco Antonio Lengua Hinojosa (BSc thesis)
- On the Influence of Document Length for Sentiment Analysis, Erkan Karabulut (BSc Thesis)
- Ein Vergleich von CNN-basierenden Erkennungsverfahren für die visuelle Echtzeiterkennung, Jiayi Wang (BSc Thesis)
- Improved Full-DOF Hand Pose Estimation Using Depth Images, Dennis Hamester (MSc Thesis)
- Detecting and Localizing Body Gestures in a Multi-Person Scenario Using a Deep Neural Network, Florian Letsch (MSc Thesis)
Teaching
WiSe 2019
- Lecturer (MSc): Knowledge Processing, Wed 10-12, room D-220. Lectures will be held in English. Topics covered:
- First-Order Logic, Symbolic Planning, STRIPS language
- Continuous Planning algorithms, Probabilistic Road Maps
- Hybrid Neural Networks
- Lecture (MSc): "Neurally-Inspired Gesture Recognition"
- Seminar (BSc): Machine Learning for Human-Robot Interaction, Wed 12-14, room F-235. All materials will be made available via STINE.
SoSe 2019
- Tutorials (BSc): Data Mining, Do 14-17, Fri 10-13 && 14-17, RZ PC room D-114, D-118 (every other week), practical exercises in Python/Jupyter notebooks, scikit-learn
WiSe 2018
- Lecturer (MSc): Knowledge Processing, Wed 10-12, room D-220. Lectures will be held in English.
- Seminar (MSc): Bio-Inspired Artificial Intelligence (assist)
- Lecture (MSc): "Neurally-Inspired Gesture Recognition"
- Proseminar (BSc): Artificial Intelligence, Wed 12-14, room F-334
SoSe 2018
- Project (BSc): Even-Odd Game playing with a humanoid robot, Wed 14-17 && Thu 14-17, F-234 (PC room)
- Tutorials (BSc): Data Mining, Fri 10-13 && 14-17, RZ PC room D-114 (every other week), practical exercises in Python/Jupyter notebooks
WiSe 2017/2018
- Übung/Seminar (MSc): Research Methods Wed 4-6pm, room D-220 (in English), Plenary discussions and practical tasks with Python/Jupyter notebooks
- Seminar (MSc): Bio-Inspired Artificial Intelligence (assist)
- Lecture (MSc): "Neurally-Inspired Gesture Recognition"
SoSe 2017
- Übung (BSc): Data Mining, Fr 10-13 Uhr + 14-17 Uhr, D-114 RZ PC-Pool (alle 14 Tage), Praktische Übungen am Rechner mit Matlab und Python
- Seminar (MSc): Knowledge Processing with Neural Networks (assist)
WiSe 2016/2017
- Seminar (MSc): Bio-Inspired Artificial Intelligence (assist)
- Lecture (MSc): "Neurally-Inspired Gesture Recognition"
SoSe 2016
- Übung (BSc): Data Mining, Fr 10-13 Uhr + 14-17 Uhr, D-114 RZ PC-Pool (alle 14 Tage), Praktische Übungen am Rechner mit Matlab und Python
- Seminar (MSc): Knowledge Processing with Neural Networks (assist)
WiSe 2015/2016
- Übung (BSc): Rechnerstrukturen (AB TAMS), Di 11-12 + 12-13 + 13-14, Raum F-334
- Seminar (MSc): Bio-Inspired Artificial Intelligence (assist)
- Lecture (MSc): "Neurally-Inspired Gesture Recognition"
SoSe 2015
- Übung (BSc): Data Mining, Do 10-13 Uhr + 14-17 Uhr, D-114 RZ PC-Pool (alle 14 Tage), Praktische Übungen am Rechner mit Matlab und Python
- Seminar (MSc): Knowledge Processing with Neural Networks (assist)
WiSe 2014/2015
- Übung (BSc): Rechnerstrukturen (AB TAMS), Di 11-12 + 12-13 + 13-14, Room F-334
Aufgabenblätter
- Übung(MSc): Multidimensionale und Multimodale Signale Di 8-10 Uhr, Raum F-009 (Übungsblätter via STINE)
- Seminar (MSc): Bio-Inspired Artificial Intelligence (assist)
- Lecture (MSc): "Neurally-Inspired Gesture Recognition"
SoSe 2014
- Übung (BSc): Data Mining, Do 10-13 Uhr, D-114 + 14-17 Uhr, D-118 RZ PC-Pool (alle 14 Tage), Praktische Übungen am Rechner mit Matlab und Python
- Seminar (MSc): Knowledge Processing with Neural Networks (assist)
WiSe 2013/2014
- Übung (BSc): Rechnerstrukturen (AB TAMS), Mo 12-13 + 13-14 Uhr, F-334, Di 10-11 + 11-12 Uhr, Raum F-334
Aufgabenblätter - Seminar (MSc): Bio-Inspired Artificial Intelligence (assist)
- Lecture (MSc): "Neurally-Inspired Gesture Recognition"
SoSe 2013
- Projekt (BSc): Evolution interaktiver Agenten, Mi 14-17 Uhr + Fr 14-17 Uhr, WTM PC-Pool
- Übung (BSc): Data Mining, Fr 10-13 Uhr, D-114, RZ PC-Pool (alle 14 Tage), Praktische Übungen am Rechner mit Matlab und Python
- Seminar (MSc): Knowledge Processing with Neural Networks (assist)
WiSe 2012/2013
- Übung (BSc): Rechnerstrukturen (AB TAMS), Di 10-11, 11-12, Raum D-129, 12-13 Raum F-534
Aufgabenblätter - Praktikum/Übung (BSc): Grundlagen der Wissensverarbeitung, Mo: 12-14, Raum D-220
- Seminar (MSc): Bio-Inspired Artificial Intelligence (assist)
- Lecture (MSc): "Neurally-Inspired Gesture Recognition"
SoSe 2012
- Übung (BSc): Formale Grundlagen der Informatik (AB TGI), Mi: 12-14 Uhr, F-235 Informationen
- Projekt (BSc): Evolution interaktiver Agenten, Mi 14-17 Uhr + Fr 14-17 Uhr, WTM PC-Pool
- Proseminar (BSc): Künstliche Intelligenz, Fr 12-14 Uhr, F-235
- Seminar (MSc): Knowledge Processing with Neural Networks (assist)
WiSe 2011/2012
- Praktikum (BSc): Grundlagen der Wissensverarbeitung, Mi: 12-14, Raum F-132
- Übung (BSc): Rechnerstrukturen (AB TAMS), Mo: 13-14 Uhr, Raum F-009
- Proseminar (BSc): Künstliche Intelligenz, Fr 12-14 Uhr, F-235
SoSe 2011
- Übung (MSc): Multidimensionale und Multimodale Signale (AB KOGS); Mo: 16-18 Uhr, Raum F-009 Informationen
- Proseminar (BSc): Künstliche Intelligenz, Fr 12-14 Uhr, F-235
WiSe 2010/2011
- Übung (BSc): Rechnerstrukturen (AB TAMS), Mo: 12-14, Raum F-334
- Praktikum/Übung (BSc): Grundlagen der Wissensverarbeitung, Mi: 12-14, Raum F-334
- Proseminar (BSc) Künstliche Intelligenz