Dr. Axenie was invited to hold a talk and present his research on Fusing Biophysics and Machine Learning for Computational Oncology within at the Physics-enhanced Machine Learning methods in Engineering practice Seminar from the Alan Turing Institute, UK (https://www.notion.so/Fusing-Biophysics-and-Machine-Learning-for-Computational-Oncology-fe7cb55505894bf7933ab379049a0567).
Dr. Axenie was invited to hold a talk and present his research on Combining Mechanistic Modelling, Nonlinear Control, and Neuronal Learning Algorithms for Road Traffic Optimization at the Physics-enhanced Machine Learning methods in Engineering practice Seminar from the Alan Turing Institute, UK (https://www.notion.so/Combining-Mechanistic-Modelling-Nonlinear-Control-and-Neuronal-Learning-Algorithms-for-Road-Traffi-7436d638a0934993a60628c2084bde5a).
Dr. Axenie was invited to hold a talk and present his research on Large-scale Systems Optimization: From Oscillatory Physics to High-dimensional Vector Memories at the International Vector Symbolic Architectures Seminar (https://sites.google.com/ltu.se/vsaonline/winter-2022#h.vgoglvatag91).
Dr. Axenie’s collaboration with School of Life Science at TU Munich and the Interdisciplinary Breast Center at Helios Klinik Munich West resulted in a new research article published in the prestigious Frontiers in Artificial Intelligence on Data-driven Discovery of Mathematical and Physical Relations in Oncology Data using Human-understandable Machine Learning. The work introduces a new framework for mathematical and computational oncology tools that exploit network approaches for the mathematical modeling, analysis, and prediction of cancer development and therapy design.
Dr. Axenie’s collaboration with IBM Research Zurich and the Computer Science Department at the University of Surrey resulted in a new perspective article published in the prestigious MDPI Symmetry under Networks in Cancer: From Symmetry Breaking to Targeted Therapy. This perspective article gathers the latest developments in mathematical and computational oncology tools that exploit network approaches for the mathematical modelling, analysis, and simulation of cancer development and therapy design.
Dr. Axenie’s latest work on Learning Insights from a Single Motion Sensor for Accurate and Explainable Soccer Goalkeeper Kinematics has been accepted for publication in the prestigious IEEE Sensors Journal. This work is part of PERSEUS Project (Platform for Enhanced virtual Reality in Sport Exercise Understanding and Simulation, No. ZF4017410SS9) funded by the Central Innovation Program for Small and Medium-sized Enterprises (ZIM) from the German Federal Ministry for Economic Affairs and Energy (BMWi).
Dr. Axenie was invited to edit a new special issue in the prestigious MDPI Symmetry Journal on „Networks in Cancer: From Symmetry Breaking to Targeted Therapy„.
Dr. Axenie was invited to hold a talk at the Integrative Cancer Biology Lab (Markowetz Lab), Cancer Research UK Cambridge Institute, the University of Cambridge under the Cancer Research UK Open Lab Initiative.
Dr. Axenie was invited to hold a lecture on Mathematical and Computational Oncology in the PULMOSESNS Lecture Series at Universität Ulm (https://www.uni-ulm.de/en/in/pulmosens/qualification-and-equality/lecture-series/).
Our new paper combining machine learning and mechanistic modelling for predicting chemotherapy outcome entitled “PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer” by Daria Kurz and Cristian Axenie was accepted at IEEE BIBM 2020, IEEE International Conference on Bioinformatics and Biomedicine 2020 (IEEE BIBM 2020) that will take place in Seoul, South Korea, from the 16th to the 19th of December 2020.
Dr. Axenie’s latest paper CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer by Cristian Axenie and Daria Kurz, received the „Springer Best Paper Award“ at the 2020 International Symposium on Mathematical and Computational Oncology.
Dr. Axenie’s latest manuscript on the Role of Kinematics Assessment and Multimodal Sensorimotor Training for Motion Deficits in Breast Cancer Chemotherapy-Induced Polyneuropathy: A Perspective on Virtual Reality Avatars (by C. Axenie, D. Kurz) was accepted in Frontiers in Oncology, Women’s Cancer – Quality of Life in Breast Cancer Patients and Survivors. https://doi.org/10.3389/fonc.2020.01419
Dr. Axenie’s latest paper, on learning mathematical relations among tumor histopathological and morphological parameters to capture phenotypical growth transitions, entitled „Tumor Characterization using Unsupervised Learning of Mathematical Relations within Breast Cancer Data“ by Cristian Axenie and Daria Kurz was accepted at the 29th International Conference on Artificial Neural Networks, ICANN2020. The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The 29th ICANN Conference was planned for 15-18th September 2020 in Bratislava, Slovakia.
Dr. Axenie’s new paper combining machine learning and mechanistic modelling for cancer growth curve extraction entitled "GLUECK: Growth pattern Learning for Unsupervised Extraction of Cancer Kinetics" by Cristian Axenie and Daria Kurz was accepted at ECML PKDD 2020, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases that will take place in Ghent, Belgium, from the 14nd to the 18nd of September 2020.
One new paper combining machine learning and mechanistic modeling of cancer entitled "PRINCESS: Prediction of Individual Breast Cancer Evolution to Surgical Size" by Cristian Axenie and Daria Kurz, was accepted at the IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), Mayo Clinic, Rochester, MN, July 28 - 30, 2020 (Virtual Meeting).
One poster abstract on Learning Personalized Virtual Reality Avatars for Chemotherapy-Induced Peripheral Neuropathy Rehabilitation in Breast Cancer by Daria Kurz and Cristian Axenie accepted and presented at 34th German Cancer Congress will take place from February 19 to 22, 2020, in Berlin.
Two papers accepted at the IEEE ICMLA 2019: An Online Incremental Clustering Framework for Real-Time Predictive Analytics on Datastreams by Carlos, S.; Tudoran, R.; Bortoli, S.; Hassan, M. A. H.; Brasche, G.; and Axenie, and Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams by Axenie, C.; Tudoran, R.; Bortoli, S.; Hassan, M. A. H.; Carlos, S.; and Brasche, G. In 2019 18th IEEE International Conference on Machine Learning and Applications (ICMLA), 2019. IEEE
The PERSEUS (Platform for Enhanced Virtual Reality in Sport Exercise Understanding and Simulation) research project, which deals with the development of VR-based goalkeeping training, successfully received the financial support from the Federal Ministry for Economic Affairs and Energy – BMWi). AKII Microlab will design and develop AI algorithms for VR avatar-based reconstruction of the player’s movement, able to track and simulate the whole-body skeletal movement of goalkeepers using embedded glove sensors. The funding is part of the Central Innovation Program for SMEs (ZIM) and thus supports our research activities in the field of VR and AI.
A team of two students from THI, Du Xiaorui (Masters, Computer Science), Yavuzhan Erdem (Bachelor, Mechatronics) lead by Dr. Cristian Axenie (the head of the Audi Konfuzius-Institut Ingolstadt Lab) have been awarded the 1st Prize in the prestigious European Merch AI Research Challenge.
The International Conference on Bioinformatics and Biomedical Engineering (BIBE) is the annual flagship biomed conference of the IEEE and EMB. For the 2019 edition of BIBE, AKII Microlab has two papers accepted. C. Axenie, Armin Becher, Daria Kurz, Thomas Grauschopf, Meta-Learning for Avatar Kinematics Reconstruction in Virtual Reality Rehabilitation; and C. S. Sanchez, J. Baumbach, S. Smyth, C. Axenie, Fuzzy Inference System for Risk Evaluation in Gestational Diabetes Mellitus.
Two new papers accepted at the 28th International Conference on Artificial Neural Networks, the annual flagship conference of the European Neural Network Society (ENNS): Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality - Sebastian Pohl, Armin Becher, Thomas Grauschopf, Cristian Axenie; NARPCA: Neural Accumulate-Retract PCA for Low-latency High-throughput Processing on Datastreams - Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche. Well done team !
Invited talk at Lions Club Salzburg: AI and VR Applications.
Dr. Axenie organized the THI-SCUT: Artificial Reality Research and Cooperation Seminar. A cooperation between Technische Hochschule Ingolstadt (THI), South China University of Technology (SCUT) and Audi Konfuzius Institute Ingolstadt.
Dr. Axenie as invited talk at Lions Club Ubersee Cyber: AI and VR for the Future of Society.
Two new papers introducing an important study on a Novel Approach to Measure Motion-To-Photon and Mouth-To-Ear Latency in Distributed Virtual Reality Systems (Becher, Angerer, Grauschopf) and our framework, VIRTOOAIR: VIrtual Reality TOOlbox for Avatar Intelligent Reconstruction (Becher, Axenie, Grauschopf), were accepted in two important workshops. The first paper will be published within the 2018 Gesellschaft für Informatik e.V. (GI) Workshop on Virtuelle Realität und Augmented Reality (VR/AR) and the second in the MULTIMODAL VIRTUAL & AUGMENTED REALITY WORKSHOP (MVAR 2018) within 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) respectively.
Dr. Axenie’s awarded a nVidia GPU Grant for a Neuromorphic Processing for Electric Autonomous Driving with Schanzer Racing Electric (SRE) team at Technical University of Ingolstadt.
Dr. Axenie joined the Technical University of Ingolstadt as Lecturer in Artificial Intelligence and Machine Learning.
Dr. Axenie joined the AUDI Konfuzius Institute Ingolstadt to lead the AKII Microlab and apply AI and ML to VR.
Joined the Huawei European Research Center as Senior Research Engineer to lead work on online Machine Learning for Big Data.
Dr. Axenie’s invited talk at TEDx - Calea Domneasca 18.03.2017 (http://www.ted.com/tedx/events/21484), Theme: Dare to leave a mark in Galati, Romania.
Microsoft Faculty Connection coverage (goo.gl/uPWGna) for project demo at Hack Cambridge 2017, 28 – 29 January 2017, University of Cambridge with a Real-time Event-based Vision Monitoring and Notification System for Seniors and Elderly using Neural Networks.
Dr. Axenie is awarded a BayIntAn Fellowship (5000 EUR) by the Bavarian Research Alliance for establishing a cooperation on the development of a platform for neuromorphic models of sensorimotor adaptation with ETH Zurich, Switzerland and University of California, Irvine, US.
Guest lecturer in Neural Computation at BaseCamp winter school in Wien. An immersive full-time program for prospective data scientists to deepen theoretical knowledge and enhance practical skills for data analytics.
Best innovation idea at the ANDRITZ Pioneers Hackaton innovating for the international technology group ANDRITZ. Developed an artificial neural learning agent for automation process productivity enhancement.
Dr. Axenie is awarded a BayIntAn Fellowship (10000EUR) by the Bavarian Research Alliance for establishing a cooperation on neurorobotics with University of Waterloo, Canada and the University of Manchester, UK.
WIRED UK coverage (http://goo.gl/5yQ1Fn) at the Hack the Senses hackathon in London: How to hack your senses: from 'seeing' sound to 'hair GPS':"Two-man team HearSee built a headband that taps into synaesthesia, translating changes in frameless video to sound allowing blind people or those with weak vision to see motion. Roboticist and neurologist Cristian Axenie assembled the hardware in mere minutes – attaching a pair of cameras and wires to a terrycloth headband."
Dr. Axenie is awarded 1st prize (team) at the Daimler Financial Services Big Data Analytics Hackaton for the design of a neurofuzzy learning system for anomaly detection and user interaction in big data streams.
Dr. Axenie is awarded special Microsoft Cognitive Technologies prize at the Burda Hackdays for the design of a neural learning system for inferring role assignments in working teams using psychometric data analytics.
Dr. Axenie is awarded PhD (Summa cum Laude) degree in Neuroscience and Robotics from the Technical University of Munich.
Dr. Axenie is awarded 1st prize (team) in the BMW Automotive Hackdays for the design of an inference system for driving profile learning and recommendation for skills improvement and predictive maintenance in car-sharing.
Dr. Axenie is awarded the Convergent Science Network of Biomimetic and Biohybrid Systems Research Fellowship for the 2013 Telluride Neuromorphic Cognition Engineering Workshop.
Dr. Axenie is awarded the Convergent Science Network of Biomimetic and Biohybrid Systems Research Fellowship for the 2013 CapoCaccia Cognitive Neuromorphic Engineering Workshop.
Dr. Axenie is awarded the Leonhard Lorenz-Stiftung Scholarship for novel ideas in research.
Dr. Axenie is awarded the Bavarian Elite Research Scholarship by the Bavarian State Ministry of Sciences, Research and the Arts.
Dr. Axenie is awarded 4th place at the National IBM “Best Linux Application” programming contest for work in robot fault-tolerant control using custom embedded Linux.
Dr. Axenie is awarded best paper award at the 13th International Scientific Sessions ZTS, UPT (Romania) for work on nonlinear control for mobile robots.
Dr. Axenie is awarded a designer certificate on dependable embedded systems analysis and design from University of Lucern (Switzerland).
Dr. Axenie is invited talk at International Student Scientific Sessions of the Military Technical Academy (Romania) for work on adaptive systems design.
Dr. Axenie is invited presentation at the 9th Real-Time Linux Workshop (Austria) for work on real-time control in distributed systems.