Cristian Axenie

Bio

Dr. Axenie is Professor of Artificial Intelligence and Research Group Leader of the SPICES Lab at the Technische Hochschule Nürnberg Georg Simon Ohm in Germany. After earning a Dr. Eng. Sc. in Neuroscience and Robotics from the Technical University of Munich in 2016, Dr. Axenie joined the Huawei Research Center in Munich. Between 2017 and 2023 Dr. Axenie was simultaneously Staff Research Engineer with Huawei Research Center and Principal Investigator and Head of the Audi Konfuzius-Institut Ingolstadt Laboratory at the Technische Hochschule Ingolstadt. Dr. Axenie is a seasoned researcher with more than 15 years of academic research and more than 8 years of industrial research experience. He earned a M. Sc. in Robotics and Intelligent Control and a B. Sc. in Automation and Industrial Informatics. His research was disseminated in more than 50 peer-reviewed publications and more than 10 patents.

Curriculum Vitae

• since 2023 - Professor of Artificial Intelligence at TH Nürnberg, Computer Science Department
• 2019 - 2023 - Staff Research Engineer, Huawei Technologies Research Center, Munich, Germany
• 2022 - Post-graduate Certification, Business Start-up Programme, Saïd Business School, University of Oxford
• 2017 - 2019 - Senior Research Engineer, Huawei Technologies Research Center, Munich, Germany
• 2017 - 2023 - Research Group Leader and Laboratory Manager, AUDI Konfuzius-Institut Ingolstadt Laboratory, Ingolstadt, Germany
• 2017 - 2021 - Lecturer, TH Ingolstadt
• 2016 - Doctorate (Dr.Ing.), Dept. of Electrical Engineering and Information Technology, TU Munich
• 2011 - 2017 - Research Associate, Neuroscientific Systems Theory, TU Munich
• 2009 - 2011 - Software Engineer, Wind River Systems, Romania
• 2009 - 2010 - Lecturer, UGAL, Romania
• 2009 - 2011 - M.Sc. Applied Computer Science in Control Engineering (Robotics and AI), UGAL, Romania
• 2005 - 2009 - B.Sc. Automation and Applied Computer Science, UGAL, Romania
• 2008 - Software Engineer (Internship), Freescale Semiconductor (NXP), Romania

• 2020 Best Paper Award, International Symposium on Mathematical and Computational Oncology, Springer 
• 2019 First Place, AI Research Competition, Merck KGaA
• 2016 Microsoft Cognitive Technologies Prize, Microsoft Corporation 
• 2016 First Place, Big Data Analytics Competition, Mercedes-Benz Group AG
• 2016 First Place, Automotive Analytics Competition, Bayerische Motoren Werke AG
• 2013 Leonhard Lorenz-Stiftung Prize, TU Munich
• 2012 Elite Doctoral Scholarship, Bavarian Elite Network, StMWK

• Institute of Electrical and Electronics Engineers (IEEE) - Society for Computational Intelligence (SCI)
• German Informatics Society (GI)
• Association of University Teachers (HLB)
• Free Software Foundation Europe (FSFE)

• Cognitive Neuromorphic Systems 
• Data Fusion
• TinyML
• Algorithms and Data Structures
• Computer Science Fundamentals

• Neuromorphic Intelligence 
• Intelligent Multisensory Fusion
• Antifragile Control Systems
• Embedded and Edge Systems

• Data Fusin (summer term)
• TinyML (summer term)
• Neuromorphic Intelligence (winter term)
• Computer Science Fundamentals (winter term) 
• Algorithms and Data Structures (summer term)

Theses Topics Examples

• SPICEnet Demonstrator GUI. (PDF)
• SPICEnet Mobile Demonstrator GUI. (PDF) 
• Embedded SPICEnet. (PDF)
• Spiking SPICEnet on Neuromorphic Chip. (PDF)

• Event-based neuromorphic image sensors for indoor human activity detection. (PDF)
• Heterogeneous data fusion with spike-based neural networks. (PDF)
• Real-time fusion of heterogeneous data streams. (PDF)
• A prototype system for auditory-motion synesthesia using neuromorphic cameras. (PDF)
• Hybrid edge system for industrial multisensory fusion. (PDF)

• Google Scholar: https://scholar.google.com/citations?user=K3C2IbMAAAAJ 
• Research Gate: https://www.researchgate.net/profile/Cristian-Axenie  
• Personal page: http://cristianaxenie.info

SPICES Lab

Sensorimotor Processing, Intelligence, and Control in Edge compute Systems Laboratory

Applied Antifragility Research

Research Group for System Design, Analysis, and Development of Antifragile Systems

Research/Conference Talks

Fusing Mathematical Modelling, Biomedical Data and Learning Algorithms for Computational Oncology held at the University of Surrey (Guildford), UK.

Spiking Perception and processing for Intelligent Detection of pEdestrians on urban Roads held at the international hackathon, TinyML Foundation Pedestrian Detection Challenge for Vision Zero San Jose. Team NeuOHM from TH Nuremberg won second place among 29 universities and companies from around the world.

Invited research talk at the Open Neuromorphic Workshop on Hybrid Learning for Event-Based Visual Motion Detection and Tracking.