CV

Here you can find my updated CV.

General Information

Full Name Yiming Wang
Email ywang@fbk.eu
Affiliation Fondazione Bruno Kessler (FBK)
Research Interests robotic perception, 2D/3D scene understanding, multimodal foundation models, embodied reasoning

Qualifications

  • 2024–2035
    Abilitazione Scientifica Nazionale (Italy)
    Ministero dell'Università e della Ricerca
    • Sectors 01/B1 - Informatica, 09/H1 - Sistemi di Elaborazione delle Informazioni

Education

  • 2013-2018
    PhD in Electronic Engineering
    Queen Mary University of London (QMUL)
  • 2009–2013
    BSc in Engineering (Honours)
    QMUL and Beijing University of Posts and Telecommunications (BUPT)
    • Ranked 4th of 355 students

Research Experience

Research Projects

  • 2023–present
    SketchReal - Your sketched inspiration, rendered real! Principle Investigator
    FAIR technology transfer, 62k €
    • To advance the development of the research project exploiting generative models for fashion design process.
  • 2023–present
    LoCa AI: A low-carbon AI development paradigm via knowledge augmentation Principle Investigator
    CariVerona project, 90k €
    • to develop training-efficient solutions for SMEs with large pre-trained models.
  • 2024–present
    Swarmchetrate: Application-level Swarm-based Orchestration Across the Cloud-to-Edge Continuum Task Leader
    EU project
    • to developing AI-enhanced solution for orchestrating micro-services inside the edge-cloud continuum.
  • 2022–present
    FAIR - Future Artificial Intelligence Research Foundation, Spoke 2 integrative AI Researcher
    NextGenerationEU
    • to advance fundamental research on multimodal AI.
  • 2022–present
    ICSC National Research Centre for High Performance Computing, Big Data and Quantum Computing Researcher
    NextGenerationEU
    • to advance fundamental research on energy-efficient AI solutions.
  • 2023–2025
    PRECRISIS: Protecting Public Spaces Through Integrated Smarter Innovative Security WP Leader
    EU ISF project
    • to develop video solutions that help identifying potential vulnerabilities of urban public spaces and simulating plausible scenarios before, during and after any terrorist attacks or violent acts.
  • 2021-2024
    MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments Task Leader
    EU H2020 project
    • to provide a privacy-preserving video solution that serves the construction of smart cities.
  • 2021–2023
    PROTECTOR: PROTECTing places of wORship Task Leader
    EU ISF project
    • to provide video-based solutions for early alerts to protect sites of religious importance.

Teaching

  • May 2022
    Bringing Perception to Social Robots: An introductory course Teacher
    IECS Doctoral School, University of Trento
    • PhD course, 15 students, 20 hours
  • 2023/24
    Introduction to Machine Learning Teacher
    University of Trento
    • MSc course, 52 students, 40 hours
  • 2013/14-2015/16
    Introduction to Computer Vision TA
    Queen Mary University of London
    • MSc course, 134 students
  • 2016/17
    Data Mining TA
    Queen Mary University of London
    • MSc course, 154 students
  • 2016/17
    Machine Learning TA
    Queen Mary University of London
    • MSc course, 75 students

Supervision

  • Ongoing PhD students
    • Francesco Taioli (Polytechnic University of Turin, with Marco Cristani)
    • Nicola Dall'Asen (Polytechnic University of Turin, with Elisa Ricci)
    • Luca Zanella (University of Trento, with Elisa Ricci)
    • Benedetta Liberatori (University of Trento, with Elisa Ricci)
    • Youjie Zhou (Shandong University, with Fabio Poiesi and Yi Wan)
    • Runyu Jiao (University of Trento, with Fabio Poiesi)
    • Federico Girella (University of Verona, with Marco Cristani)
    • Zanxi Ruan (University of Verona, with Marco Cristani)
  • Graduated PhD students
    • Seyed Saber Mohammadi (University of Genova, with Alessio Del Bue)
    • Francesco Giuliari (University of Genova, with Alessio Del Bue)
    • Alessandro Conti (University of Trento, with Elisa Ricci)
  • MSc students
    • Nicola Dall'Asen (2021, University of Trento)
    • Benedetta Liberatori (2022, University of Trieste)
    • Giulio Mattolin (2022, University of Trento)
    • Maurizio Patrick De Marchi (2023, University of Trento)
    • Antonio Padalino (2023, University of Trento)
    • Michele Presutto (2024, University of Trento)
    • Alessandro De Ferrari (2024, University of Trento)
    • Yuhang Jiang (2025, University of Trento)
    • Samuele Angheben (2025, University of Trento)
  • BSc students
    • Stefano Bonetto (University of Trento)
    • Mattia Mondo (University of Verona)

Community Services

Invited talks

  • 2025
    LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing
    Oral presentation @ ICCV
  • 2025
    Generative AI for creative industry - an exploration in fashion design
    Wired Next Fest
  • 2025
    Seeing the Abstract: Translating the Abstract Language for Vision Language Models
    ResearchTrendAI
  • 2024
    Addressing vision tasks with large foundation models
    Hefei University of Science and Technology
  • 2024
    Addressing vision tasks with large foundation models
    University of Verona
  • 2024
    Addressing vision tasks with large foundation models
    University of Bocconi
  • 2024
    Test-Time Zero-Shot Temporal Action Localization
    TwelveLabs

Awards and Acknowledgements

Voluntary works

Others