Thursday, November 16, 2023
Time | Event | (+) |
08:30 - 09:00 | Welcome & Coffee break (ENSISA Hall) | |
09:00 - 10:00 | IA basics (Computer Room 1) - M. Devanne - Thomas Josso-Laurain | |
10:00 - 10:30 | Smart-UHA Robots Introduction - Presentation of the Smart-UHA mobile robotic platform | |
10:30 - 12:00 | Developing classifiers (Computer Room 1) - M. Devanne - Thomas Josso-Laurain | |
12:00 - 13:30 | Lunch (E27) | |
13:30 - 15:00 | Developing deep learning classifiers (Computer Room 1) - M. Devanne - Thomas Josso-Laurain | |
15:00 - 15:30 | On the road with Smart-UHA - Real-time exhibition of the Smart-UHA mobile robotic platform | |
15:30 - 16:30 | Classifier validation on Smart-UHA data (Computer Room 1) - M. Devanne - Thomas Josso-Laurain |
Friday, November 17, 2023
Time | Event | (+) |
08:00 - 08:45 | Registration - Registration Opening | |
08:45 - 09:00 | Welcome Message (A. Schittly Amphitheatre) | |
09:00 - 09:30 | Keynote : Towards Autonomous Vehicles: How AI is driving the mobility revolution (A. Schittly Amphitheatre) - Dr. Benazouz BRADAI | |
09:30 - 10:45 | AI for Time Series (A. Schittly Amphitheatre) | (+) |
09:30 - 09:45 | › Combining Variational Autoencoder and Recurrent Neural Networks for Generic Human Motion Prediction - Jonas Hansert, Karlsruhe University of Applied Sciences | |
09:45 - 10:00 | › Knowledge Distillation for Robotics Time Series Classification - Javidan Abdullayev, Université de Haute-Alsace (UHA) Mulhouse - Colmar | |
10:00 - 10:15 | › Machine learning-based models for self-learning indoor heat warning systems in households - Raghavakrishna Devineni, Offenburg University of Applied Sciences | |
10:15 - 10:30 | › Reducing Complexity of Deep Learning for Time Series Classification Using New Hand-Crafted Convolution Filters - Ali Ismail-Fawaz, Université de Haute-Alsace (UHA) Mulhouse - Colmar - Maxime Devanne, Université de Haute-Alsace (UHA) Mulhouse - Colmar | |
10:45 - 11:30 | Posters and Coffee Break (ENSISA Hall) | (+) |
10:45 - 11:30 | › Borderless Authentic – Authentication in the Upper-Rhine Area with AI - Abdelhafid Abouaissa, Université de Haute Alsace (UHA) - Wilfrid Azan, Université Lumière - Lyon 2 - Yannick Boehmann, Neomia.ai - Michael Böttger, Raumobil GmbH [Karlsruhe] - Ugo Devoille, Neomia.ai - Marc Gilg, Université de Haute Alsace (UHA) - Martin Gwerder, Fachhochschule Nordwestschweiz [Windisch] - Roxana Hess, INIT GmbH - Bastian Leferink, Raumobil GmbH [Karlsruhe] - Pascal Lorenz, Université de Haute Alsace (UHA) - David Monschein, Karlsruhe University of Applied Sciences (HKA) - Zoltan Nochta, Karlsruhe University of Applied Sciences (HKA) - José Antonio Peregrina Pérez, Karlsruhe University of Applied Sciences (HKA) - Tim Piotrowski, Karlsruhe University of Applied Sciences (HKA) - Ioan Szilagyi, Neomia.ai - Oliver Waldhorst, Karlsruhe University of Applied Sciences (HKA) - Jochen Wendel, INIT GmbH - Oliver Wolf, Raumobil GmbH [Karlsruhe] - Christian Zirpins, Karlsruhe University of Applied Sciences (HKA) | |
10:45 - 11:30 | › Development of an AI-based Energy Prediction for Electric Vehicles - Yannick Rauch, Karlsruhe University of Applied Sciences - Nico Drobe, Karlsruhe University of Applied Sciences - Tuyen Nguyen, Karlsruhe University of Applied Sciences | |
10:45 - 11:30 | › Enhancement of Visual SLAM Precision Using Semantic Image Segmentation for Automotive Systems - Patrick Rebling, Karlsruhe University of Applied Science | |
10:45 - 11:30 | › Evaluation and Improvement of State-of-the-art RADAR Object Detection Networks - Deniz Braun, Karlsruhe University of Applied Sciences | |
10:45 - 11:30 | › Exploring the Potential of Synthetic Data for Bike Path Surface Classification using Diffusion Models - Göttisheim Valentin, Hochschule Furtwangen University [Furtwangen] | |
10:45 - 11:30 | › Facilitating the Adoption of AI Technologies for SMEs Using an Expanded Version of the Periodic Table of AI - Tobias Hagen, University of Applied Sciences [Offenburg], Institute of Machine Learning and Analytics IMLA | |
10:45 - 11:30 | › Fine-Grained Product Classification on Leaflet Advertisements - Bianca Lamm, Offenburg University - Janis Keuper, Offenburg University | |
10:45 - 11:30 | › Time Series Extrinsic Regression for Physical Rehabilitation Assessment - Elvin Ismayilzada, IRIMAS-UHA - Maxime Devanne, IRIMAS-UHA | |
11:30 - 12:00 | Keynote - AI in the Contemporary and Future Battlefield: Revolutionizing Defense (A. Schittly Amphitheatre) - Dr. Richard ARNING | |
12:00 - 13:30 | Lunch (ENSISA Hall) | |
13:30 - 15:15 | Other and General Topics (A. Schittly Amphitheatre) | (+) |
13:30 - 13:45 | › AI-Based CT Data Pipeline - Robin Tenscher-Philipp, Hochschule Karlsruhe - Technik und Wirtschaft; Institut für Angewandte Forschung | |
13:45 - 14:00 | › Applying Machine Learning Algorithms for Classifying Time-Frequency Failures in Power Grid Systems - Gandorj Darambazar, IRIMAS - Patrice Wira, IRIMAS | |
14:00 - 14:15 | › Automated Machine Learning for Business Decision Simulation - Reinhard Bauer, Karlsruhe University of Applied Sciences | |
14:15 - 14:30 | › Discovery: an Explainable AI Powered Academic Search Engine for Knowledge Workers - Robin Weitemeyer, Karlsruhe University of Applied Sciences | |
14:30 - 14:45 | › From LMS to LXP: Extending Moodle with AI-based Recommendations for Learning - Saptadi Nugroho, University of Applied Sciences [Offenburg] | |
14:45 - 15:00 | › Investigating learning transferability and deployment for neural NILM strategies - Yacine Belguermi, IRIMAS - Patrice Wira, IRIMAS | |
15:00 - 15:15 | › Road Extraction and Routing from Satellite Imagery by Image Segmentation using Deep Learning - Mohammed Arebi, Hochschule Furtwangen University [Furtwangen] | |
15:15 - 15:30 | Coffee break (ENSISA Hall) | |
15:30 - 16:30 | AI for Robotics (A. Schittly Amphitheatre) | (+) |
15:30 - 15:45 | › Design of a Robotic Therapy Companion - Theresa Schmiedel, University of Applied Sciences and Arts Northwestern Switzerland, School of Business | |
15:45 - 16:00 | › Enhancing Independence through Intelligent Robotics: An AI-Driven Assistive Robotics Interface - Katrin-Misel Ponomarjova, University of Applied Sciences Offenburg | |
16:00 - 16:15 | › Intelligent vehicles semantic segmentation using evidential deep learning - Danut-Vasile GIURGI, Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 | |
16:15 - 16:30 | › Using deep learning models to accelerate the design of soft robots with genetic algorithms - Loïc Mosser, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie | |
16:30 - 17:00 | Keynote - You have to ask the right questions! (A. Schittly Amphitheatre) - Dr. Gernot MEIER (HS Offenburg) |