Education

• University of Padova, Padova, Italy
  Ph.D. in Information Engineering (2021 – 2024)
  • Advisor: Prof. Simone Milani
  • Research area: Multimodal Scene Understanding and Representation Learning.
  • Published 10 papers in International Journals and Conferences.

  M.Sc. in Internet and Multimedia Engineering (2019 – 2021)

  • GPA: 30/30 - Grade: 110/110 with Honors.
  • Thesis: “Curriculum Learning for LiDAR Semantic Segmentation”.

  B.Sc. in Information Engineering (2016 – 2019)

  • Thesis: “Mixed Reality Applications in Medical Therapy” - MR application for HoloLens in collaboration with Dreamship Studios s.r.l.

• BigRock Institute of Magic Technologies, Treviso, Italy
  Master in Computer Graphics (2024 – 2025)
  • Professional training in technical and artistic skills for 3D Computer Graphics.
  • Certified in Autodesk Maya.

Work experience

• Postdoctoral Research Scientist (2024 – Present)
  University of Padova, Padova, Italy
  • Conducted research in 3D Computer Vision, VR/AR Optimization, Multimodal Scene Understanding, and Visual Representation Learning.
  • Supervised and mentored M.Sc. and Ph.D. students.
• Teaching Assistant (2019 – 2024) [link]
  University of Padova, Padova, Italy
  • Prepared and taught lab lectures in courses such as “3D Vision and eXtended Reality,” “Digital Forensics,” “Digital and Interactive Multimedia,” and “Usability and User Experience.”
  • Over 4 years of teaching Unity.

• AI and Graphics Research Intern (2023 – 2024)
  Samsung Research, London, UK
  • Advisor: Dr. Mete Ozay
  • Improved existing algorithms for efficient personalized object detection and recognition.
  • Developed on-device solutions.
  • Published 2 papers and filed 1 patent.

• Unity (C#) Developer (2022)
  Uqido S.R.L., Padova, Italy
  • Developed a VR application for Quest 2 in collaboration with the Department of Pharmaceutical Sciences.

Skills

• Languages: Italian (C2), English (C1), French (A2).
• Programming: Python, C++, MATLAB, C, C#, Bash, TensorFlow, PyTorch, OpenCV.
• Software: Autodesk Maya, Blender, Unreal Engine (C++), Unity (C#), Houdini, Adobe Photoshop, Marvelous Designer, Substance Painter, ZBrush.
• Soft Skills: Public speaking, Mentoring, Teamwork, and Project management.

Awards

• Best Student Presentation, APCCAS conference, Taiwan, 2021.
• Scholarship - Best Student Award, Seasonal School AIRONE, Scuola Superiore S.Anna, Pisa, Italy, 2021.

Publications [link]

• Schiavo C., Camuffo E., Badia L., & Milani S., "SAGE: Semantic-Driven Adaptive Gaussian Splatting in Extended Reality", European Signal Processing Conference (EUSIPCO), 2025.
• Maida M., Crescini A., Perronet M, & Camuffo E., "Claycode: Stylable and Deformable 2D Scannable Codes", Transactions on Graphics (TOG), 2025. [Oral presentation at SIGGRAPH 2025, video selected for CAF Teaser].
• Jabrayilova A., Camuffo E., Crosara L., & Badia L., "Age of Information for Quantum Communication Channels with Monogamy of Entanglement", International Mediterranean Conference on Communications and Networking (MeditCOM), 2025.
• Camuffo, E., Michieli, U., Milani, S., Moon, J. J., & Ozay, M. (2024). "Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics." International Conference on Intelligent Robots and Systems (IROS).
• Barbato, F., Camuffo, E., Milani, S., & Zanuttigh, P. (2024). "Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network." International Conference on Image Processing (ICIP).
• Campagnolo, D., Camuffo, E., Michieli, U., Borin, P., Milani, S., & Giordano, A. (2023). "Fully Automated Scan-to-BIM via Point Cloud Instance Segmentation." International Conference on Image Processing (ICIP).
• Camuffo, E., Michieli, U., & Milani, S. (2023). "Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation." Transactions on Multimedia (TMM), 25(1), 567-578.
• Camuffo, E., Michieli, U., Moon, J. J., Kim, D., & Ozay, M. (2023). "FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images." International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
• Camuffo, E., & Milani, S. (2023). "Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine Strategies on Sparse Data." International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
• Mari, D., Camuffo, E., & Milani, S. (2023). "CACTUS: Content-Aware Compression and Transmission Using Semantics for Automotive LiDAR Data." Sensors, 23(1), 1234.
• Camuffo, E., Mari, D., & Milani, S. (2022). "Recent Advancements in Learning Algorithms for Point Clouds: An Updated Overview." Sensors, 22(4), 1357.
• Camuffo, E., Battisti, F., Pham, F., & Milani, S. (2022). "3D Model Optimization for Immersive and Interactive Applications." European Workshop on Visual Information Processing (EUVIP).
• Camuffo, E., Gorghetto, L., & Badia, L. (2021). "Moving Drones for Wireless Coverage in a Three-Dimensional Grid Analyzed via Game Theory." In Proceedings of the 2021 IEEE Asia Pacific Conference on on Circuits and Systems (APCCAS).