CV

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

Work experience

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
Research Fellow, 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

Professional certifications

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

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

C. Axenie, Stefano Bortoli, Daniele Foroni, Goetz Brasche, Dynamic Optimization-Free Traffic Light Signal Offset Control System, 2020
C. Axenie, Stefano Bortoli, Goetz Brasche, Learning Contextual Memory System for Traffic Light Optimization, 2020
C. Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche, Short-Term Spatio-Temporal Traffic Prediction System, 2019
C. Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche, Multisensory Learning System for Traffic Prediction, 2019
C. Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche, Online Traffic Reasoner for City-Level Smart Traffic Light Management, 2019
C. Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche, Automatic Model Selection for Timeseries Prediction on Data Streams, 2019
Radu Tudoran, C. Axenie, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche, Online Traffic Controller with Spatio-Temporal Learning Extensions for Online Machine Learning Prediction, 2019
Stefano Bortoli, Radu Tudoran, C. Axenie, Mohamad Al Hajj Hassan, Goetz Brasche, et al., DataBase-Embedded Streaming Engine, 2019
Stefano Bortoli, Radu Tudoran, C. Axenie, Mohamad Al Hajj Hassan, Goetz Brasche, A System for Higher-Order Stream Processing, 2018
C. Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche, Streaming Random Forest, 2018
C. Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche, Stream Feature Extractor, 2017

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