Program > Technical Program

Week Thu. 16 Fri. 17 List

	Thu. 16	Fri. 17
08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00	Welcome & Coffee break 8:30 - 9:00 (30min) Welcome & Coffee break ENSISA Hall IA basics 9:00 - 10:00 (1h) IA basics Computer Room 1 M. Devanne - Thomas Josso-Laurain Smart-UHA Robots Introduction 10:00 - 10:30 (30min) Smart-UHA Robots Introduction Presentation of the Smart-UHA mobile robotic platform Developing classifiers 10:30 - 12:00 (1h30) Developing classifiers Computer Room 1 M. Devanne - Thomas Josso-Laurain Lunch 12:00 - 13:30 (1h30) Lunch E27 Developing deep learning classifiers 13:30 - 15:00 (1h30) Developing deep learning classifiers Computer Room 1 M. Devanne - Thomas Josso-Laurain On the road with Smart-UHA 15:00 - 15:30 (30min) On the road with Smart-UHA Real-time exhibition of the Smart-UHA mobile robotic platform Classifier validation on Smart-UHA data 15:30 - 16:30 (1h) Classifier validation on Smart-UHA data Computer Room 1 M. Devanne - Thomas Josso-Laurain	Registration 8:00 - 8:45 (45min) Registration Registration Opening Welcome Message 8:45 - 9:00 (15min) Welcome Message A. Schittly Amphitheatre Keynote : Towards Autonomous Vehicles: How AI is driving the mobility revolution 9:00 - 9:30 (30min) Keynote : Towards Autonomous Vehicles: How AI is driving the mobility revolution A. Schittly Amphitheatre Dr. Benazouz BRADAI AI for Time Series 9:30 - 10:45 (1h15) AI for Time Series A. Schittly Amphitheatre › Combining Variational Autoencoder and Recurrent Neural Networks for Generic Human Motion Prediction - Jonas Hansert, Karlsruhe University of Applied Sciences 09:30-09:45 (15min) › Knowledge Distillation for Robotics Time Series Classification - Javidan Abdullayev, Université de Haute-Alsace (UHA) Mulhouse - Colmar 09:45-10:00 (15min) › Machine learning-based models for self-learning indoor heat warning systems in households - Raghavakrishna Devineni, Offenburg University of Applied Sciences 10:00-10:15 (15min) › 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 10:15-10:30 (15min) Posters and Coffee Break 10:45 - 11:30 (45min) Posters and Coffee Break ENSISA Hall › 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 (45min) › 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 (45min) › Enhancement of Visual SLAM Precision Using Semantic Image Segmentation for Automotive Systems - Patrick Rebling, Karlsruhe University of Applied Science 10:45-11:30 (45min) › Evaluation and Improvement of State-of-the-art RADAR Object Detection Networks - Deniz Braun, Karlsruhe University of Applied Sciences 10:45-11:30 (45min) › Exploring the Potential of Synthetic Data for Bike Path Surface Classification using Diffusion Models - Göttisheim Valentin, Hochschule Furtwangen University [Furtwangen] 10:45-11:30 (45min) › 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 (45min) › Fine-Grained Product Classification on Leaflet Advertisements - Bianca Lamm, Offenburg University - Janis Keuper, Offenburg University 10:45-11:30 (45min) › Time Series Extrinsic Regression for Physical Rehabilitation Assessment - Elvin Ismayilzada, IRIMAS-UHA - Maxime Devanne, IRIMAS-UHA 10:45-11:30 (45min) Keynote - AI in the Contemporary and Future Battlefield: Revolutionizing Defense 11:30 - 12:00 (30min) Keynote - AI in the Contemporary and Future Battlefield: Revolutionizing Defense A. Schittly Amphitheatre Dr. Richard ARNING Lunch 12:00 - 13:30 (1h30) Lunch ENSISA Hall Other and General Topics 13:30 - 15:15 (1h45) Other and General Topics A. Schittly Amphitheatre › AI-Based CT Data Pipeline - Robin Tenscher-Philipp, Hochschule Karlsruhe - Technik und Wirtschaft; Institut für Angewandte Forschung 13:30-13:45 (15min) › Applying Machine Learning Algorithms for Classifying Time-Frequency Failures in Power Grid Systems - Gandorj Darambazar, IRIMAS - Patrice Wira, IRIMAS 13:45-14:00 (15min) › Automated Machine Learning for Business Decision Simulation - Reinhard Bauer, Karlsruhe University of Applied Sciences 14:00-14:15 (15min) › Discovery: an Explainable AI Powered Academic Search Engine for Knowledge Workers - Robin Weitemeyer, Karlsruhe University of Applied Sciences 14:15-14:30 (15min) › From LMS to LXP: Extending Moodle with AI-based Recommendations for Learning - Saptadi Nugroho, University of Applied Sciences [Offenburg] 14:30-14:45 (15min) › Investigating learning transferability and deployment for neural NILM strategies - Yacine Belguermi, IRIMAS - Patrice Wira, IRIMAS 14:45-15:00 (15min) › Road Extraction and Routing from Satellite Imagery by Image Segmentation using Deep Learning - Mohammed Arebi, Hochschule Furtwangen University [Furtwangen] 15:00-15:15 (15min) Coffee break 15:15 - 15:30 (15min) Coffee break ENSISA Hall AI for Robotics 15:30 - 16:30 (1h) AI for Robotics A. Schittly Amphitheatre › Design of a Robotic Therapy Companion - Theresa Schmiedel, University of Applied Sciences and Arts Northwestern Switzerland, School of Business 15:30-15:45 (15min) › Enhancing Independence through Intelligent Robotics: An AI-Driven Assistive Robotics Interface - Katrin-Misel Ponomarjova, University of Applied Sciences Offenburg 15:45-16:00 (15min) › Intelligent vehicles semantic segmentation using evidential deep learning - Danut-Vasile GIURGI, Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 16:00-16:15 (15min) › 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 16:15-16:30 (15min) Keynote - You have to ask the right questions! 16:30 - 17:00 (30min) Keynote - You have to ask the right questions! A. Schittly Amphitheatre Dr. Gernot MEIER (HS Offenburg)

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