CV
Work experience
- Professor of Artificial Intelligence, Technische Hochschule Nürnberg Georg Simon Ohm, Germany, since 2023
- Staff Research Engineer, Huawei Research Center, Germany, since 2019
- Senior Research Engineer, Huawei Research Center, Germany, 2017 - 2019
- Head of Laboratory / Principal Investigator, AUDI Konfuzius-Institut Ingolstadt Laboratory, Germany, since 2017
- Lecturer, Technische Hochschule Ingolstadt, Germany, 2017 - 2021
- Post-doctoral Research Fellow, Technical University of Munich, Germany, 2016 - 2017
- Research Associate, Technical University of Munich, Germany, 2016 - 2017
- Freelance Consultant, Applied Artificial Intelligence and Machine Learning, Germany, since 2016
- Software Engineer, WindRiver, Romania, 2009 - 2011
- Software Engineer (intern), Freescale Semiconductors, Romania, 2008
Education
- Ph.D. (Summa cum Laude) in Neuroscience and Robotics, Technical University of Munich, 2016
- M.S. (top 1%) in Intelligent Control Engineering and Robotics, University of Galati, 2011
- B.S. (top 1%) in Control Systems Engineering and Industrial Informatics, University of Galati, 2009
Professional certifications
- Oxford Entrepreneurship: Venture Creation Programme, Said Business School, Oxford University, Oxford, UK, 2022
- Innovation Road-mapping for Emerging Technologies Certificate, Fraunhofer Institute for Systems and Innovation Research, Karlsruhe, 2019
- Deep Learning Expert Certificate, nVidia Deep Learning Institute, Munich, Germany, 2017
- Entrepreneurial Thinking Certificate, Entrepreneurship Research Institute, TUM Graduate School, Munich, Germany, 2014
- Effective Student Mentoring Certificate, Münchner Institut für Systemische Weiterbildung (MISW),Technische Universität München Graduate School, Munich, Germany, 2014
- Technical Writing Certificate, Technische Universität München Graduate School, Munich, Germany, 2012
Research Grants
- Principal Investigator, 175000EUR, Project PERSEUS (Platform for Enhanced Reality in Sport Exercise Understanding and Simulation), ZIM Grant, BMWi, Germany, 2019-2021
Fellowships
- Bavarian Research Alliance Fellowship - 5000EUR, research cooperation with ETH Zurich and University of California, Irvine, USA, 2017
- Bavarian Research Alliance Fellowship - 10000EUR, research cooperation with University of Waterloo, Canada and the University of Manchester, UK, 2017
- Leonhard Lorenz-Stiftung Fellowship - 7000EUR, neurotechnologies innovations, Germany, 2013
- Science Network of Biomimetic and Biohybrid Systems Research Fellowship - 2500EUR, workshop leader CapoCaccia Cognitive Neuromorphic Engineering Workshop, Italy, 2013
- Science Network of Biomimetic and Biohybrid Systems Research Fellowship - 2500EUR, workshop leader Telluride Neuromorphic Cognition Engineering Workshop, USA, 2013
- Bavarian Elite Research PhD Scholarship - 120000EUR, Bavarian Ministry of Sciences, Research and the Arts Exclusive funding, 2012
Awards and Honours
- 2nd place at the TinyML Pedestrian Detection Challenge 2023
- Best Paper Award - 2020 International Symposium on Mathematical and Computational Oncology, 2020
- 1st place at the Merck AI Research Challenge 2019
- nVidia GPU Grant - Technical University of Ingolstadt, 2018
- Outstanding Reviewer Award - IOP Journal of of Bioinspiration and Biomimetics, 2017
- Outstanding Reviewer Award - IOP Journal of Neural Engineering, 2016
- 1st place at the Daimler Automotive Big Data Analytics Hackaton 2016
- Microsoft Cognitive Technologies Prize - Burda Hackdays, 2016
- 1st place at the BMW Automotive Hackdays 2016
- 4th place at the IBM “Best Linux Application” Competition 2009
- 1st place at the 13th International Polytechnic Universities Scientific Sessions 2009
- University of Galaţi Performance Scholarship 2006 - 2009
Patents(filed/granted)
- Physics-informed Intelligent Calibration & Reliability Analysis Framework for Physical Systems, 2021
- Dynamic Optimization-Free Traffic Light Signal Offset Control System, 2020
- Learning Contextual Memory System for Traffic Light Optimization, 2020
- Short-Term Spatio-Temporal Traffic Prediction System, 2019
- Multisensory Learning System for Traffic Prediction, 2019
- Online Traffic Reasoner for City-Level Smart Traffic Light Management, 2019
- Automatic Model Selection for Timeseries Prediction on Data Streams, 2019
- Online Traffic Controller with Spatio-Temporal Learning Extensions for Online Machine Learning Prediction, 2019
- DataBase-Embedded Streaming Engine, 2019
- A System for Higher-Order Stream Processing, 2018
- Streaming Random Forest, 2018
- Stream Feature Extractor, 2017
- Dynamic Model-oblivious Adaptive Ghost Cells for Distributed Agent-based Simulations, 2023
- Automated Road Network Junction Correction from Aerial Imagery, 2023
Service and leadership
- Invited Guest Editor, MDPI Symmetry Journal on „Networks in Cancer: From Symmetry Breaking to Targeted Therapy, 2021 - 2022
- Organizer of the Artificial Reality Research and Cooperation Seminar, Technische Hochschule Ingolstadt and South China University of Technology, 2019
- Program-committee member
- International Conference of Artificial Neural Networks (ICANN) 2013, 2019, 2020
- International Symposium Computer Based Medical Systems (CBMS) 2020
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2019, 2020, 2021
- Member of the Review Board
- MDPI Sensor Journal, IOP Journal of Neural Engineering, since 2016
- Frontiers in Robotics, since 2019
- Frontiers in Oncology, since 2019
- MDPI Symmetry, since 2020
- Member
- IEEE, Computational Intelligence Society, since 2007
- European Association for Cancer Research, since 2020
- EU Commission Expert – Robotics and AI, since 2017
- COST, European Cooperation in Science and Technology Expert, since 2021
Publications
Talks
Fault-tolerant Control for Mobile Robots
Talk at Freescale Semiconductor Romania, Bucharest, Romania
TEDx Neurotechnologies: from neurons to artificial intelligence
TEDx Lecture at TEDx CaleaDomneasca (x = independently organized TED event), Galati, Romania
Online distributed streaming machine learning
Talk at Institute for Cognitive Systems, Technical University of Munich, Munich, Germany
Artificial Intelligence and Virtual Reality: Digital transformation, research and society
Talk at Lions Club, Chimesee, Germany
Einsatz von Gradientenabstiegsverfahren in Neuronalen Netzen
Talk at Technical University of Ingolstadt, Ingolstadt, Germany
Hauptkomponentenanalyse vs. Denoising Variational Autoencoders
Talk at Munich University of Applied Sciences, Munich, Germany
AI research for digital transformation, research and society
Talk at Technical University of Ingolstadt, Ingolstadt, Germany
Mathematical and Computational Oncology: Framework and tools for predictive systems
Talk at Ulm University, Ulm, Germany
Konzepte und Funktionsweise von Big Data Stream Processing-Frameworks
Talk at Technical University of Ingolstadt, Ingolstadt, Germany
Big data and online machine learning
Talk at Munich School of Engineering, Technical University of Munich, Munich, Germany
Digitalization Tools for Human-centered Intelligence
Talk at Lions Club Austria, Salzburg, Austria
Invariant Representations Extraction in Neural Architectures
Talk at Data Science and AI Department, Merck Research, Darmstadt, Germany
Augmented Human Biomechanics: from Sport Technology to Medical Rehabilitation
Talk at Technical University of Ingolstadt, Ingolstadt, Germany
Combining Mechanistic Modelling, Nonlinear Control, and Neuronal Learning for Road Traffic Optimization
Talk at Huawei Research Paris, Paris, France
Feature-Extraction Theoretische Grundlagen, Methodik und Umsetzung
Talk at Munich University of Applied Sciences, Munich, Germany
Aktivitätstracker: vom Messprinzip bis zur Datenanalyse
Talk at Technical University of Ingolstadt, Ingolstadt, Germany
GLUECK: Growth pattern Learning for Unsupervised Extraction of Cancer Kinetics
Conference Talk at European Conference on Machine Learning 2020, Ghent, Belgium
Mathematical and Computational Oncology: From tumor kinetics to therapy outcome
Talk at Cambridge University, Cancer Research UK, Cambridge, UK
Streaming Data Engineering: Feature Extraction from Road Traffic Data
Talk at Munich University of Applied Sciences, Munich, Germany
Feature Selection in der Medizinische Data Science Pipeline
Talk at Munich University of Applied Sciences, Munich, Germany
OBELISC: Oscillator-Based Modelling and Control using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation
Conference Talk at European Conference on Machine Learning 2021, Bilbao, Spain
Objektorientierte Modellierung und Objektorientierte Programierung in der Produktion
Undergrad Lecture at Industrial Engineering Undergrad Lecture, Ingolstadt, Germany
Streaming Data Science and Data Engineering
Undergrad Lecture at EECS Undergrad Lecture, IUAS, Berlin, Germany
Large-scale Systems Optimization: From Oscillatory Physics to High-dimensional Vector Memories
International Seminar at Vector Symbolic Architectures and Hyperdimensional Computing, online
Combining Mechanistic Modelling, Nonlinear Control, and Neuronal Learning Algorithms for Road Traffic Optimization
International Seminar at Alan Turing Institute: Physics-enhanced Machine Learning methods in Engineering practice Seminar, online
Early, intermediate and late fusion heterogener Sensordaten mittels Deep Learning
Undergrad Lecture at Computer Science Undergrad Lecture, Nuremberg, Germany
Learning Multi-sensory Fusion for Road Traffic Prediction on Resource-limited Devices
Undergrad Lecture at Computer Science Undergrad Lecture, Nuremberg, Germany
Fusing Biophysics and Machine Learning for Computational Oncology
International Seminar at Alan Turing Institute: Physics-enhanced Machine Learning methods in Engineering practice Seminar, online
Fuzzy Modeling and Inference for Physics-Aware Road Vehicle Driver Behavior Model Calibration
International Seminar at ETH Zurich, Institute for Transport Planning and Systems Dept. (IVT), ETH Zurich/IVT Dept. (Institute for Transport Planning and Systems)
ANTIGONES: Designing antifragile large-scale traffic frameworks
International Project Kick-off at ETH Zurich, Institute for Transport Planning and Systems Dept. (IVT), ETH Zurich/IVT Dept. (Institute for Transport Planning and Systems)
Fusing Mathematical Modelling, Biomedical Data and Learning Algorithms for Computational Oncology
International Workshop at Computational Modelling of Complex Biological Systems 2023 (CMCBS23) Workshop, COMBYNE Lab (COmputational Modelling of Biologial dYnamics and EngiNEering), University of Surrey, UK
Spiking Perception and processing for Intelligent Detection of pEdestrians on urban Roads
International Hackathon at TinyML Foundation Pedestrian Detection Challenge for Vision Zero San Jose, online