Mr . Alberto Tono|sketching| Excellence in 3D Modeling Award

Mr . Alberto Tono|sketching|,Stanford University,United States

Mr. Alberto Tono is a renowned expert in sketching and design, currently affiliated with Stanford University in the United States. His work integrates artistic creativity with innovative design principles, making significant contributions to both academic and practical aspects of sketching. At Stanford, Mr. Tono is involved in various projects that explore the intersection of art and technology, aiming to push the boundaries of conventional design methods. His expertise is highly sought after in both academic circles and industry, where he collaborates on cutting-edge design projects. Mr. Tono’s passion for sketchinghttps://cad-conferences.sciencefather.com/emandi-jagadeeswara-rao-computer-technology-best-researcher-award-duplicate-1/ is evident in his meticulous approach to design, inspiring students and colleagues alik

 

Professional Profiles:

Google scholar

Scopus

Education :

Stanford University, Palo Alto, California, USA (2021 ā€“ Present),PhD in Civil Environment Engineering with minor in Computer Science (4.0 GPA),MITx ā€“ Massachusetts Institute of Technology (MITx with EdX), USA (2020 ā€“ 2021),MicroMasters in Statistics and Data Science,University of San Francisco, California, USA (2020 ā€“ 2021),Deep Learning with Fastai – Data Science and Deep Learning,University of Padua, Italy (2011 ā€“ 2016),Masterā€™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 ā€“ 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 ā€“ Present),Teaching Assistant for Geometric Deep Learning applications for the Summer Geometric Initiative (SGI).,Stanford University, Stanford, California (10/2021 ā€“ 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 ā€“ 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 ā€“ Present),President and Research Director: Directed interdisciplinary research, including neuroscience-based research for pediatric palliative care.,HDR (San Francisco, California) (11/2019 ā€“ 02/2020),Computational Design Lead.,HOK (San Francisco, California) (11/2017 ā€“ 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 ā€“ 11/2017),Computational BIM Specialist: Automated workflows, reducing project delivery time by 50%.,Rene Van Zuuk Architects (Almere, Netherlands) (05/2016 ā€“ 10/2016),Computational Designer: Automated design workflows and clash detection.,HITADRI (Harbin, China) (03/2015 ā€“ 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.

 

 

 

 

Mr . Alberto Tono| sketching| Excellence in 3D Modeling Award

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