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Prof. Emanuele Panizzi, PI

Available theses

Master’s degree theses (updated: May 2024)

  1. Revolutionizing Short Distance Estimation by Harnessing Deep Learning and Inertial Measurement Unit’s Data
  2. Integrating LLMs in Non-Player Characters (NPCs) in videogames
  3. GPS-denied Vehicle Localization Integrating Inertial Data with Map-Matching Embeddings
  4. Creating a Basic Movements Dataset: Refining Signals with Generative AI
  5. Creating a Basic Movements Dataset: Emulating Signals with Generative AI
  6. Validating Location Synthetic Data Leveraging Adversarial Networks and LLMs
  7. Generating Location Synthetic Data Leveraging Adversarial Networks and LLMs

Bachelor’s Degree Internships (Updated: May 2024)

prerequisites: (IUM || HCI) && WASA

  1. Developing a model-based sensor in a smart-parking mobile app: IMU sensors
  2. Utilizing Large Language Models for the Generation of Synthetic Location-Based Data
  3. Assessing Usability and Information Gain in Implicit Natural User Interfaces
  4. Utilizing Large Language Models for Generating Personas in UI Testing

Latest publications

Conference Paper - AVI 24 (accepted)
Stefano Zeppieri, Alba Bisante, Emanuele Panizzi, Gabriella Trasciatti and Venkata Srikanth Varma Datla (2024) Enhancing Interface Design with AI: An Exploratory Study on a ChatGPT-4-Based Tool for Cognitive Walkthrough Inspired Evaluations Accepted at Advanced Visual Interfaces 2024, Genova, Italy, June 3-7 2024
Journal Article - SSCR
Antenore, M., Camacho Rodriguez, J. M., & Panizzi, E. (2023). A Comparative Study of Bot Detection Techniques With an Application in Twitter Covid-19 Discourse. Social Science Computer Review. https://doi.org/10.1177/08944393211073733
Conference Paper - SIGCHI 23
Bisante, A., Dix, A., Panizzi, E., & Zeppieri, S. (2023, September). To err is AI. In Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter (pp. 1-11). https://doi.org/10.1145/3605390.3605414
Conference Paper - SIGCHI 23
Bassetti, E., Cavallaccio, G., De Marsico, M., & Panizzi, E. (2023, September). Poster: Human Presence Detection After Earthquakes: An AI-Based Implicit User Interface on the Smartphone. In Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter (pp. 1-4). https://doi.org/10.1145/3605390.3610832
Conference Paper - AUTOUI 23
Bisante, A., Panizzi, E., & Zeppieri, S. (2023, September). Cruising-for-Parking Detection on the Smartphone Based on Implicit Interaction and Machine Learning. In 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 93-102). https://doi.org/10.1145/3580585.3607162
Journal Article - FGCS
Luciani, A.; Panizzi, E. Street Direction Classification using Implicit Vehicle Crowdsensing and Deep Learning Accepted for publication on Future Generation Computer Systems, 2023 https://doi.org/10.1016/j.future.2023.07.015


  • Grand Tour Afam, funded by MUR, 2024-2026
  • MICS, PNRR PE11, 2023-2026
  • SANLO, funded by DTC Lazio, 2020-2024
  • SeismoCloud, funded by Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2029-2022
  • ProDoc, funded by Sapienza ARU, 2020-2024
  • HERMES, funded by DTC Lazio, 2020-2024
  • Generocity, partially funded by Sapienza Ateneo 2019


  • Prof. Emanuele Panizzi, Associate Professor, Head

Contract Professor

  • Prof. Francesco Lutrario

PhD Students

  • Alba Bisante
  • Stefano Zeppieri
  • Varma Venkata Srikanth Datla
  • Gabriella Trasciatti
  • José Camacho Rodriguez, Intern from Universidad Autónoma de Madrid (UAM). April-July 2024

Honor program students

  • Elena Jang

Master thesis students

  • Saurabh Bharat Nagarkar, Erasmus Intern from Artificial Intelligence program at UPC (Universitat Politècnica de Catalunya) - March-July 2024

Past members

  • Enrico Bassetti, PhD, Master’s student, PhD student, and Post-Doc from 2018 to February 2024

Past visiting professors

  • Prof. Alan Dix, Swansea University, Wales - October-November 2022