Welcome to AKII Microlab

The AKII Microlab is a joint technical research initiative focused at building a modern applied Artificial Intelligence expertise bridging academia and industry. Our approach is to apply modern methods of artificial intelligence to applications in the area of Virtual and Augmented Reality, BigData Analytics and Real-Time Control of Technical Systems.

AKII Microlab at ISMAR2018

After a successful acceptance of our first paper on VIRTOOAIR, Armin has been invited to present and demo AKII Microlab's flagship project at the IEEE ISMAR 2018. This is the leading international academic conference in the fields of Augmented Reality and Mixed Reality. The symposium is...

New conference paper accepted

    Dr. Axenie's latest work in Online Machine Learning for Big Data Streaming, introducing STARLORD: Sliding window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams, has been accepted in the Machine Learning Algorithms, Systems and Applications track of the IEEE 17th International Conference on Machine Learning and...

AKII Microlab in Lions Club Lectures

14.09.2018 - Dr. Axenie was invited to hold a lecture in Lions Club Ubersee - Cyber. Along with Dennis Morgenstern, Head of Google Automotive, Dr. Axenie introduced to the entrepreneurial audience the values AI and VR have for the digital transformation. Lions Club Übersee-Forum am Chiemsee-Cyber21.09.2018Protokoll...

Aktuelle Projekte

Open Thesis

Current Openings

If you are interested in exploring AI for VR/AR with us, and write your Bachelor or Master Thesis please contact Dr. Cristian Axenie (axenie@thi.de) or Prof. Thomas Grauschopf (thomas.grauschopf@thi.de).NEW TOPICS  Event-based Vision for End-to-end VR Avatar Reconstruction  Full PDF descriptionProblem descriptionThe proposed project explores the capability of using...

Publikationen

Publications

2018 C. Axenie et al., STARLORD: Sliding window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams, 2018 IEEE International Conference on Machine Learning and Applications (ICMLA2018).D. Foroni, C. Axenie et al., Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems, International Workshop...

Ausstattung

Team

Dr. Cristian Axenie
Curriculum Vitae
Prof. Dr. Thomas Grauschopf
Curriculum Vitae
Sebastian Pohl
Curriculum Vitae
Armin Becher
Curriculum Vitae