Gabriele Tolomei

Gabriele Tolomei

Associate Professor of
Computer Science

Sapienza University of Rome

Biography

My current research interests are in the area of Human-Explainable, Robust, and COllaborative LEarning (see HERCOLE Lab). In addition, I am also fascinated by topics related to Web Search and Mining and Computational Advertising.

Interests

  • travelling
  • swimming & skiing (actually, any sport!)
  • motorbike riding

Education

  • PhD in Computer Science, 2011

    Ca' Foscari University of Venice, Italy

  • MSc in Computer Science, 2005

    University of Pisa, Italy

  • BSc in Computer Science, 2002

    University of Pisa, Italy

Experience

 
 
 
 
 

Associate Professor

Sapienza University of Rome

Sep 2019 – Present Italy

Main Goals:

  • Research activities on topics at the intersection of machine learning and computer security.
  • Establishment of a multidisciplinary team focused on adversarial machine learning in collaboration with University of Padova and Ca' Foscari University of Venice, Italy.
 
 
 
 
 

Assistant Professor

University of Padova

Jul 2017 – Sep 2019 Italy

Main Goals:

  • Research activities on topics at the intersection of machine learning and computer security.
  • Establishment of a multidisciplinary team focused on adversarial machine learning in collaboration with Ca' Foscari University of Venice, Italy.
 
 
 
 
 

Research Scientist

Yahoo Research

Jun 2014 – Jul 2017 London, UK

Main Goals:

  • Improve the engagement of users with Gemini, the integrated Yahoo online advertising platform.
  • Promote “high quality” advertisements using measures of post-click satisfaction, which go beyond traditional Click-Through Rate (CTR).
  • Analyse large-scale datasets from distributed computing environments and mine interesting patterns via statistical/machine learning solutions.
  • Design, implement, and test innovative prototypes into production buckets as response to internal challenges, in collaboration with Product and Engineering teams.
  • Delivery results both internally and externally (e.g., research paper submissions to top conferences like SIGIR, KDD, CIKM, RecSys, WSDM, WWW, etc.)

HERCOLE Lab

HercoleLab

I am happy to announce that the Human-Explainable, Robust, and COllaborative LEarning (HERCOLE) Lab was officially launched today, August 26, 2021.

The research mission of the HERCOLE Lab is to make next-generation ML and AI systems more understandable to humans, resilient to adversarial attacks, and decentralized to edge devices.

Are you interested to join the team?
Feel free to drop me a message at tolomei@di.uniroma1.it or visit https://hercolelab.github.io/ (currently under construction!) for more information about past and ongoing research projects, and Bachelor/Master/Ph.D. thesis opportunities with the lab.
In the meantime, stay tuned and follow the official Twitter account @HercoleLab to keep you always up to date!

Lab Head

Avatar

Gabriele Tolomei

Sapienza University of Rome

Associate Professor of
Computer Science

Teaching

 
 
 
 
 

Systems and Networking [BSc Applied Computer Science and Artificial Intelligence]

Sapienza University of Rome

Sep 2021 – Present Italy

This is a second-year course of the BSc in Applied Computer Science and Artificial Intelligence.
More information, including syllabus and class material are available below (in english).

 
 
 
 
 

Theory of Algorithms [MSc Applied Mathematics]

Sapienza University of Rome

Feb 2021 – Present Italy

This is a first-year course of the MSc in Applied Mathematics.
More information, including syllabus and class material are available below (in english).

 
 
 
 
 

Big Data Computing [MSc Computer Science]

Sapienza University of Rome

Feb 2020 – Present Italy

This is a first-year course of the MSc in Computer Science.
More information, including syllabus and class material are available below (in english).

 
 
 
 
 

Operating Systems (Sistemi Operativi) [BSc Computer Science]

Sapienza University of Rome

Sep 2019 – Present Italy

This is a second-year course of the BSc in Computer Science.
More information, including syllabus and class material are available below (some of them in italian).

 
 
 
 
 

Python Programming for Data Science [MSc Data Science]

University of Padova

Oct 2018 – Jan 2019 Italy

This is a first-year course of the MSc in Data Science.
More information, including syllabus, class material, and exercises are available below.

 
 
 
 
 

Other Courses

University of Padova

Oct 2016 – Jan 2019 Italy

The following is a list of past courses which I cotaught:

  • Programmazione I (Introduction to Computer Programming) [BSc Computer Science]
  • Basi di Dati (Introduction to Databases) [BSc Computer Science]

Contact