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)