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Basics
| Name | Ariel Gjaci |
| Label | Postdoctoral Researcher |
| Email | ariel.gjaci@iit.it |
| Phone | +393483776041 |
| Website | Website |
| Summary | Postdoctoral researcher with a PhD in Artificial Intelligence and Robotics. Develops multimodal generative models for human motion and spatial audio, combining diffusion transformers, representation learning, dataset development, and experimental evaluation in Python and PyTorch. |
Work
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| 2025.02 - Present |
| Genoa, Italy |
Multimodal learning and spatial audio for immersive environments in the European XTREME project.
- Developing few-shot room impulse response generation from audio and depth, with counterfactual training for reverberation control (ongoing research).
- Built Eigenmike 64 processing pipelines for beamforming, binaural rendering, and acoustic mapping on 3D room point clouds.
- Implemented audio/video synchronization and 360-degree acoustic overlays for spatial-audio recordings.
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| 2021.11 - 2025.05 |
| Genoa, Italy / London, UK |
Research on multimodal human motion generation and domain generalization, including a research collaboration with King's College London.
- Designed ALaDiT, a multimodal diffusion transformer generating 4 s of 3D motion in <14 ms on a single RTX 3090 (SICAGE, ECCV 2026).
- Created and released TED4C-L: 106.45 hours from 764 speakers, aligning MMPose-extracted motion with audio and text.
- Analyzed cultural cues in interaction and affective data using classical and deep learning models (AIRO 2022; AHRI at ACII 2024).
- Learned cultural representations with Fishr and adversarial domain generalization, using speaker-disjoint training and evaluation.
- Benchmarked generative models with controlled ablations; released training and evaluation code.
- Developed semantic-similarity algorithms for symbolic and deictic gesture labeling (IEEE RO-MAN 2024).
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AKKA TECHNOLOGIES | Software Engineer
- Developed Python backend software for aircraft panels and presented a working demo to stakeholders.
Skills
| Generative Modeling |
| Diffusion transformers |
| GANs |
| Multimodal conditioning |
| Learning and Evaluation |
| Representation learning |
| Domain generalization |
| Generative model evaluation |
| Programming |
| Python |
| C/C++ |
| MATLAB/Simulink |
| ML Frameworks |
| PyTorch |
| Scikit-learn |
| TensorFlow |
| Tools and Training |
| Git |
| Linux |
| SLURM |
| Data parallelism |
Education
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University of Genoa
- Research collaboration with King's College London; thesis defended in May 2025.
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University of Genoa
- Thesis: Culture-Aware Co-Speech Gestures Using Generative Adversarial Networks.
- Developed speech-driven GAN gesture generation tested on the Pepper robot (AIRO 2021; International Journal of Social Robotics 2022).
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Publications
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European Conference on Computer Vision (ECCV), main conference, pp. 392-411
Ariel Gjaci, Antonio Sgorbissa, Vittorio Murino
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IEEE RO-MAN, pp. 477-484
Ariel Gjaci, Carmine Tommaso Recchiuto, Antonio Sgorbissa
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AHRI Workshop at ACII, pp. 306-313
Ariel Gjaci, Viktor Schmuck, Antonio Sgorbissa, Oya Celiktutan
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AIRO Workshop
Ariel Gjaci, Luca Oneto, Carmine Tommaso Recchiuto, Antonio Sgorbissa
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International Journal of Social Robotics, 14(6), pp. 1493-1506
Ariel Gjaci, Carmine Tommaso Recchiuto, Antonio Sgorbissa
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AIRO Workshop
Ariel Gjaci, Carmine Tommaso Recchiuto, Antonio Sgorbissa
Teaching and Service
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Teaching and Academic Service
University of Genoa and research community
Teaching assistant, workshop co-organizer, reviewer, and session chair.
- Teaching assistant: Foundations of Informatics (C++), 60 hours; Mobile Programming (Android/Kotlin), 30 hours.
- Co-organizer of the ECCV workshop Expressive Encounters.
- Reviewer for AAAI, ECCV, ACM Multimedia, IROS, ICMI, and the International Journal of Social Robotics.
- Session chair at IEEE RO-MAN 2024.
Certificates
| | 1st Doctoral Summer School on Robotics and Intelligent Machines |
| Scuola Superiore Sant'Anna | 2023-10-01 |
| | Topics in Modern Machine Learning |
| MaLGa - Machine Learning Genoa Center | 2023-06-01 |