Aditya Arora M.Sc.
Multimodal Reliable AI
Working area(s)
Multimodal Generation, Diffusion Models
Contact
aditya.arora@tu-...
Work
S4/23 217
Landwehrstr. 50A
64293
Darmstadt
Multimodal AI
 
Multimodal Reliable AI
Multimodal Generation, Diffusion Models
aditya.arora@tu-...
Work
S4/23 217
Landwehrstr. 50A
64293
Darmstadt
| Mar 2025 | ongoing | ELLIS PhD student at the Multimodal AI group (Supervisor: Prof. Dr. Marcus Rohrbach), ELLIS co-supervisor: Dr. Pau Rodriguez (Apple Barcelona) | 
| Jul 2024 | Feb 2025 | Research Intern, Snap Inc. (New York City, NY) | 
| May 2023 | Aug 2023 | Teaching Assistant, Vector Institute (Toronto, Canada) | 
| Sep 2022 | Sep 2024 | MSc in Computer Science at York University, Canada -> Supervisor: Prof. Konstantinos G. Derpanis and Michael S. Brown | 
| Jan 2022 | Aug 2022 | Data Scientist, Bayanat for Mapping & Surveying (Abu Dhabi, UAE) | 
| Aug 2018 | Jan 2022 | Research Engineer, Inception Institute of Artificial Intelligence (Abu Dhabi, UAE) | 
My research centers on multimodal generative modeling – especially diffusion = for coherent, consistent, and controllable text-to-image, image-to-image, and text-to-video/audio systems. I’m interested in representations that align visual, auditory, and linguistic signals and then enforce global coherence: identity and style preservation across shots, stable layouts and scene geometry, long-horizon temporal smoothness, and tight cross-modal synchronization. I want to build generative systems that understand and compose across modalities while staying consistent for reliable, controllable content creation.
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