Sr Applied Scientist and Computer Vision Engineer
I am a Senior Applied Scientist and Computer Vision Engineer with experience in machine learning and computer vision. My work emphasizes deep learning techniques, particularly attention mechanisms and feature selection, to advance the field of computer vision. I prototype machine learning models using real-world data and ensure their seamless transition into production environments.
Google Scholar
SHORT BIO
Giorgio Roffo is a Senior Applied Scientist at COSMO Intelligent Medical Devices (IMD) in Milan, Italy, specializing in AI and deep learning for medical applications. His previous roles in machine learning, deep learning, and computer vision include positions at the Italian Institute of Technology (IIT), the University of Verona, the University of Glasgow, and Mind Vision Labs LTD (London) in collaboration with UCL and Toyota TRI researchers (Brussels HQ).
Roffo has published several papers in top-tier journals and conferences, including PAMI, ICCV, TOG, and MICCAI. He has also developed the Large Language Models LLMSuite and the FSLib Matlab toolbox. His achievements include receiving the prestigious CVPR 2019 Outstanding Reviewer award.
Recent News
Talk on Vision Transformers
Here are the slides from the vision transformers talk: Vision Transformers Slides
Recent AI Talks
  1. LLMs Applications (RAG, PAL, CoT, ReAct) [Download slides]
  1. Transformers, Computational Costs (FSDP, ZeRO), Datasets [Download slides]
  1. LLM Fine-Tuning, PEFT, LoRA, RLHF, ReST [Download slides]
  1. Advancements in Video Understanding: TSM Temporal Shift Module [Download slides]
  1. Non-local Neural Networks [Download slides]
  1. Interpretability & Attribution Methods [Download slides]
SELECTED PUBLICATIONS
Feature Selection, Computer Vision, and Deep Learning:
Relevant to: Automated Medical Imaging Analysis
Relevant to: Content Recommendation,Autonomous Systems, AI-Driven Marketing Analytics, Intelligent Customer Service ChatBots
Relevant to: Content Recommendation,Autonomous Systems, AI-Driven Marketing Analytics, Intelligent Customer Service ChatBots
  • Infinite Feature Selection
    G. Roffo, S. Melzi, and M. Cristani
    Presented at the IEEE International Conference on Computer Vision (ICCV), 2015
Relevant to: Content Recommendation,Autonomous Systems, AI-Driven Marketing Analytics, Intelligent Customer Service ChatBots
Relevant to: Intelligent Customer Service ChatBots, Educational Tools,Virtual Try-On for Retail
Shape Analysis and Matching:
Relevant to: Virtual Try-On for Retail,Marketing Analytics
Natural Language Processing - Chats/Instant Messaging:
G. Roffo, M. Cristani, L. Bazzani, H. Q. Minh, V. Murino, IEEE International Conference on Computer Vision Workshops (ICCV) 2013.
Relevant to: Enhanced Security Systems.
M. Cristani, G. Roffo, C. Segalin, L. Bazzani, A. Vinciarelli, V. Murino, ACM International Conference on Multimedia (ACMM) 2012. Top 1% Computer Science - Scimago Journal & Country Rank.
Relevant to: Intelligent Customer Service ChatBots.
OTHER PROJECTS
  • Infinite Feature Selection: Developed in Matlab, this tool introduces an innovative graph-based feature filtering approach, which has been a cornerstone of Roffo’s research.
  • Large Language Models (LLMSuite): A toolbox designed for evaluating large language models, contributing tools and methodologies to assess the effectiveness and efficiency of these models in various applications.
In addition to his primary research, Giorgio has been involved in several educational projects, particularly focusing on teaching Python at the university level. These projects include practical implementations and templates that serve as educational tools for students studying various aspects of machine learning and neural networks:
  • Auto-Encoders: A recommender system project that predicts ratings from 1 to 5 using the MovieLens 1M Dataset, implemented using PyTorch and autoencoders.
  • Restricted Boltzmann Machines: An implementation of a recommender system based on Restricted Boltzmann Machines, again using the MovieLens 1M Dataset.
  • Artificial Neural Network: A simple implementation of an ANN in Python, using Keras to demonstrate fundamental neural network concepts in business analytics.
DATASET & CODE
Open-Source Datasets
I maintain and contribute to several open-source computer vision datasets, enabling research and development in the field.
GitHub Repositories
My GitHub profile hosts a range of code repositories, from innovative Large Language Models to feature selection algorithms.
Reproducible Research
I strive for transparency and reproducibility in my work, providing detailed documentation and code to support my published research.
CONTACT
Giorgio Roffo can be reached through his profiles on major academic and professional networking sites. For insights into his publications, ongoing projects, or to connect professionally, please visit the following links:
AWARDS & RECOGNITION
  • Giorgio Roffo has received several notable awards and recognitions that underscore his contributions to the fields of computer vision and machine learning:
  • NVIDIA GPU Grant (2017): Roffo was awarded this grant which provided crucial computational resources, aiding in advanced AI research.
EDUCATION

1

Ph.D., Doctor Europaeus in Computer Science
University of Verona, Italy (2014-2017)
Thesis: "Ranking to Learn and Learning to Rank"
Awarded with the prestigious Doctor Europaeus certification, recognizing his research's adherence to the high international standards and its broad academic significance.
Postdoctoral Researcher
University of Glasgow, UK (2017-2020)

2

Master Level I in Computer Game Development (MGDev)
University of Verona, Italy (2013)
Specialized program concentrating on game development technologies and methodologies, enhancing his skills in complex software system design.

3

MS, Master's Degree in Computer Science and Engineering
University of Verona, Italy (Completed 2011)
Focused on advanced computational techniques and software engineering principles.

4

BS, Bachelor Degree in Computer Science and Engineering
University of Verona, Italy (Completed 2009)
His undergraduate studies laid the groundwork for his deep technical expertise in algorithms, programming, and system design.
Research and Work Experience
  • Senior Research Scientist, COSMO Intelligent Medical Devices (IMD), Milan, Italy
    (2022 - Present)
    At COSMO IMD, Roffo focuses on leveraging deep learning and computer vision to innovate in medical applications. His work includes developing AI systems and novel deep learning architectures that improve the effectiveness and accessibility of medical diagnostics and treatments.
  • Research Scientist, Mind Vision Labs, London, UK
    (2020 - 2022)
    Collaborated with UCL London and Toyota Research Institute (TRI) Brussels on autonomous driving research. Specialized in vision transformers and advanced computer vision algorithms to enhance the reliability and safety of autonomous vehicle technologies.
  • Research Associate, University of Glasgow, School of Computing Science, UK
    (2017 - 2020)
    Contributed to the EPSRC Project: Multimodal Deep Learning. Focused on attention models and transformer networks, developing solutions that are not only technically robust but also interpretable and scalable across different applications.
  • Ph.D. Student, University of Verona, Italy
    (2014 - 2017)
    Conducted seminal research on "Ranking to Learn and Learning to Rank" in pattern recognition, which has been recognized with a Doctor Europaeus certificate, indicating the high international standards of his work.
  • Research Assistant, Italian Institute of Technology, Pattern Analysis and Computer Vision department
    (2012)
    Worked on advanced computer vision algorithms and pattern analysis, contributing to foundational research that supports automated visual understanding technologies.
  • Intern, University of Glasgow, School of Psychology
    (2012, Summer)
    Explored the intersection of technology and psychology, particularly focusing on how machine learning can be applied to understand and predict human behavior based on visual and interactive cues.
  • Postgraduate Student, Activision Italy SPA, Milan, Italy
    (2011)
    Applied his technical skills in a commercial environment, focusing on software development for interactive media and gaming, which provided him with industry-specific insights that enriched his academic pursuits later on.
Made with Gamma