Mr . Alberto Tono|sketching|,Stanford University,United States
Education :
Stanford University, Palo Alto, California, USA (2021 – Present),PhD in Civil Environment Engineering with minor in Computer Science (4.0 GPA),MITx – Massachusetts Institute of Technology (MITx with EdX), USA (2020 – 2021),MicroMasters in Statistics and Data Science,University of San Francisco, California, USA (2020 – 2021),Deep Learning with Fastai – Data Science and Deep Learning,University of Padua, Italy (2011 – 2016),Master’s Degree in Building Engineering – Architecture (Magna Cum Laude),Harbin Institute of Technology, China (2015),Exchange Program in Engineering – Architecture
Professional Experience:
Autodesk Research (Remote) (01/2023 – 10/2023),AI Research Scientist Internship: Developed a novel multimodal foundation model for 3D content creation and fine-tuned ControlNet for CLIP-based Transformer 3D models.,MIT CSAIL – Geometric Lab Justin Solomon SGI (Remote) (06/2020 – Present),Teaching Assistant for Geometric Deep Learning applications for the Summer Geometric Initiative (SGI).,Stanford University, Stanford, California (10/2021 – Present),Research Assistant: Conducted research in Human-Computer Interaction, XR headsets, EEG Neuroscience, and 3D Discrete Diffusion for parametric CAD/BIM.,HAI Stanford Graduate Fellow, IT Student Representative, TA for AI Application in AEC.,Physna (Remote) (09/2020 – 11/2021),AI Research Scientist: Led ML engineers, improved 3D shape retrieval system accuracy, increased user base, and developed a prototype that significantly boosted company valuation.,Computational Design Institute (San Francisco, California) (02/2020 – Present),President and Research Director: Directed interdisciplinary research, including neuroscience-based research for pediatric palliative care.,HDR (San Francisco, California) (11/2019 – 02/2020),Computational Design Lead.,HOK (San Francisco, California) (11/2017 – 11/2019),Design Technology Manager Ad Interim, Design Technology Specialist: Enhanced AI and AR solutions, deep learning algorithms, and operational efficiency.,Bimon (Rome, Italy) (10/2016 – 11/2017),Computational BIM Specialist: Automated workflows, reducing project delivery time by 50%.,Rene Van Zuuk Architects (Almere, Netherlands) (05/2016 – 10/2016),Computational Designer: Automated design workflows and clash detection.,HITADRI (Harbin, China) (03/2015 – 05/2015),BIM Specialist: Developed optimization algorithms for stadiums and museums.
Skills:
Technical: Ray, Multi-GPUs training, Kaolin, CUDA, C++, Trimesh, Open3D, VKT, Omniverse, AWS EC2, S3, Google Cloud Platform, Tensorflow, Pytorch, Pytorch3D, Fastai, Python, Javascript, C#, Power-Bi, Mongo-DB, SQL, J-Query, Dynamo, Grasshopper, Revit API, Rhino API, MySQL, Django, Hadoop, Jax, PySpark, Spark, USD, Swift, Neuroscience, EEG, xDiva, Matlab, EEG lab.
Awards:
- Koret Human Neuroscience Lab Pilot Grant, Stanford University, 2024 (~$10,000)
- CVPR 2023 (2nd Workshop on Structural and Compositional Learning on 3D Data) 1st Position (Mentor)
- CIFE Seed Award, Stanford University, 2022 ($90,000) and 2023 ($110,000)
- Stanford JEDI Award, 2023
- Small Business Technology Transfer (STTR) programs advisor for Phase 1: Traver High-Fidelity Mesh Generation from Neural Radiance Fields (NeRFs), 2022
- Nova Top 11 Italian Talents, Research and Education, 2022
- Premio Italia Giovane, Architecture, 2022
- HAI Graduate Fellowship, Stanford University, 2022 ($4,000)
- Google Cloud Award, Stanford University, 2022 ($30,000)
- AWS Award, Stanford University, 2022 ($2,000)
- Deep Learning Diversity Fellowship, University of San Francisco, 2020 ($2,000)
- Top 300 AEC Influencers, AECHIVE 2020
- Multiple awards in WebXR and AEC Hackathons (2018-2019)
- Torno Subito Grant, Rome, 2017 ($15,000 + $45,000)
- 3rd Computational BIM Competition, Singapore, 2017
- Erasmus+ Scholarship, Netherlands, 2016 ($16,000)
- International Exchange Scholarship, Harbin Institute of Technology, University of Padua, 2015 ($8,000)
Research Focus:
- Human-Computer Interaction, XR headsets, and EEG Neuroscience.
- 3D Discrete Diffusion for parametric CAD/BIM.
- Geometric Deep Learning applications in Architecture, Engineering, and Construction (AEC).
- AI and AR solutions for enhancing user experience and operational efficiency.
- Neuroscience-based research for pediatric palliative care.
Publications :
- S. Hachisuka, A. Tono, M. Fischer, “Harbingers of NeRF-to-BIM: a case study of semantic segmentation on building structure with neural radiance fields,” EC3 2023.
- H. Huang, C. Brosque, A. Tono, A. Agrawal, M. Fischer, “Exploring a Design for Robotic Construction approach: two case studies matching robot and construction design features,” EC 2023.
- G. Nam, M. Khlifi, A. Rodriguez, A. Tono, L. Zhou, P. Guerrero, “3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models,” 2022.
- A. Tono, H. Huang, A. Agrawal, M. Fischer, “Vitruvio: 3D Building Meshes via Single Perspective Sketches,” Automation in Construction, 2022.
- S. Fedorova, A. Tono, M. S. Nigam, et al., “Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture,” ISPRS, 2021.
- A. Tono, M. S. Nigam, S. Fedorova, et al., “Limitations of Geometric Deep Learning in Architecture,” 2020.
- “Revit 2020 for Architecture: No Experience Required,” Wiley, 2020.
- A. Tono, A. Zani, H. Tono, “Impact of Industry 4.0 on Architecture and Cultural Heritage: Encoded Memory,” IBI Global, 2020.
- A. Zani, A. Tono, S. Schiavon, et al., “Annual Radiation Discomfort: A new climate-based framework for modeling short-wave solar radiation in indoor spaces,” IBPSA, Rome, 2019.
- A. Zani, A. Tono, S. Schiavon et al., “A Simulation-Based Design Analysis for the Assessment of Indoor Comfort Under the Effect of Solar Radiation,” Simaud, Atlanta, 2019.
- A. Tono, “Bimhox: The Evolutionary Information Gene,” Autodesk University, Las Vegas, 2018.