Das AKII Microlab ist eine gemeinsame technische Forschungsinitiative, die sich auf die Entwicklung und Anwendung moderner Techniken der künstlichen Intelligenz und des maschinellen Lernens in menschenzentrierten interaktiven Systemen konzentriert. Von Human Motion Tracking und Biomechanik bis hin zu personalisierten Virtual-Reality-Avataren zielen wir auf Anwendungen ab, die Auswirkungen auf Sporttechnologie und medizinische Rehabilitation haben.
Teil des AKII Microlab ist die Vision, ein starkes multidisziplinäres Ökosystem zwischen Universitäten in China und Deutschland sowie Industriepartnern in unseren Partnerregionen in Deutschland und China aufzubauen. Der Schwerpunkt liegt auf der Anwendung modernster Technologien in realen Anwendungen.
In der Praxis entwerfen und implementieren wir intelligente Softwaremodule zusammen mit der richtigen Hardwareunterstützung, um formulierte Probleme für die Datenverarbeitung, das Reasoning und das Lernen zu lösen.
Our lab'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
Our 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
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".
On Thursday, the 8th of April 2021, 10:00, AKII Lab hosts a seminar on Biomechanics and Rehabilitation with a great invited talk from a world expert in Robotic
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
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/). The AKII Lab research local visibility
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"
Our 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
Our new paper combining machine learning and mechanistic modelling for breast cancer surgery-chemotherapy sequencing entitled „CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in
Our 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
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