VIRA’25: BMW Group-Lebanon Annual Workshop on Vision Intelligence and Robotics Applications
LAU Byblos campus, Science 607-608, and virtually on Webex
In collaboration with the BMW Group Logistics team and IdealWorks, in collaboration with InMind Academy and sister universities in Lebanon, with the support of IEEE Lebanon Section, IEEE Young Professionals Lebanon, and ACM SIGAPP French Chapter, LAU’s School of Engineering invites you to participate in the 7th BMW Group-Lebanon Workshop on Vision Intelligence and Robots Applications: VIRA 2025.
Following the previous iterations of the event (VIRA’18-24), the 7th iteration of the workshop aims at promoting the collaboration between Lebanese Universities and BMW Group, allowing students who interned at BMW Group and IdealWorks to present and discuss their projects. The workshop also provides Lebanese faculty on the one hand, and BMW Group and IdealWorks experts on the other hand, with a yearly platform to share knowledge and experience in common fields of interest, including computer vision, artificial intelligence, robotics systems, and related fields.
Working Schedule
Session 1: Opening | ||
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10:00-10:05
(GMT+3)
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Welcome notes |
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10:05 - 10:30
(GMT+3) |
BMW Group Innovation in Logistics Robotics |
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10:30 - 10:55
(GMT+3) |
IdealWorks: The Robotics Ecosystem Provider |
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10:55 - 11:10
(GMT+3)
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Introduction to InMind Academy |
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Session 2: Doctoral Talk | ||
11:10 - 11:35
(GMT+3) |
Using AI and 3D Computer Vision to Create the Digital Factories of the Future |
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11:35 - 11:45
(GMT+3)
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Short break | |
Session 3: Student Projects | ||
11:45 - 12:00
(GMT+3)
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Cloud Tools for Monitoring Logistics Software and their Logs for Analysis |
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12:00 – 12:15
(GMT+3)
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Transition from Azure-Based Systems to Self-Hosted Alternatives |
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12:15 - 12:30
(GMT+3)
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Augmentation and Processing of Point Cloud LIDAR Configuration for Self-Driving Dataset |
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12:30 - 12:45
(GMT+3)
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Tabular Data Generation Pipeline Using LLMs, Autoencoders, and Diffusion Models for Synthetic Data Generation |
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12:45 - 13:00
(GMT+3)
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Deep Learning and LLMs for Automation in Production |
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13:00 - 13:15
(GMT+3)
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Image Synthesis and Aging Techniques, and Defect Detection in Real Time |
Supervisor: Joe Khalil, BMW Group |
13:15 - 13:30
(GMT+3)
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Automating BMW Car Incidents Data Collection, Pattern Identification, and Defect Detection Using Machine Learning |
Supervisor: Nadija Borovina, BMW Group
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13:30 - 13:45
(GMT+3)
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Building Embedded Computing, 3D Modelling, and Modular Robotics for Industrial Automation |
Supervisor: Wafic El Ariss, BMW Group
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13:45 - 14:00
(GMT+3)
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Next Steps and Expectations of the Cooperation | Round table |
To attend the event online, click here.