Foto del docente

Elisabetta Ronchieri

Adjunct professor

Department of Statistical Sciences "Paolo Fortunati"


Dissertation topics suggested by the teacher.

Main Topics:

  • Anomaly detection
  • ML accountability, explainability
  • Text Analysis
  • Software Quality

Please contact me.

Thesis in progress

  • Sofia Camilla Todeschini on text analysis
  • Maximilian Schlake
  • Manuel Rech
  • Simone Mirabella on pollutants
  • Jovan Kalyango, about text analysis for user support application

Thesis completed


  • Aurela Sinanaj, a.a. 2022/2023, Multi-class text classification of tweets in the context of natural and human-made disasters using Natural Language Processing techniques
  • Giovanni Zurlo, a.a. 2022/2023, AI-based Medical Imaging of COVID-19: A Visual and Textual Analysis of Scientific Literature
  • Giovanni Battista Esposito, a.a. 2022/2023, Zero-shot learning for automated screening in systematic reviews
  • Giorgia Castelli, a.a. 2022/2023, Forecasting Surgical Waiting Times: A Data Science and Machine Learning Approach for Enhanced Resource Management
  • Sara Quinto, a.a. 2022/2023, Outlier Detection on Energy Consumption Data for Production Process Anomalies Classification
  • Mirko Di Stefano, a.a. 2021/2022, Dynamic Cross-Correlation Analysis between COVID-19 and Air Pollutants Time Series: a Case Study on Lazio and Lombardy Regions during the First Pandemic Wave
  • Nicola Ronzoni, a.a. 2021/2022, Outlier detection in water pump sensors
  • Laura Viola, a.a. 2021/2022, Detecting anomalies in a data center using heterogeneous data: a domain-specific dictionary approach
  • Lorenzo Cesari, a.a. 2021/2022, Statistical Monitoring for Packaging Machines
  • Filippo Pacinelli, a.a. 2021/2022, Unsupervised Machine Learning Techniques for Anomaly Detection with Multi-Source Data
  • Leonardo Scarso, a.a. 2021/2022, Tweet Analysis for Detecting Attitudes Towards COVID-19 Vaccines: A Case Study on Pfizer/Biontech, Moderna, Astrazeneca/Vaxzevria, Johnson & Johnson
  • Clara Biagi, a.a. 2021/2022, Accountability in Machine Learning: Comparing Methods for Mitigating Gender Bias in Word Embedding
  • Zhikang Qin, a.a. 2021/2022, Tracking pandemic events through social media
  • Shunfang Wang, a.a. 2021/2022, Assessing environmental conditions in China during the COVID-19 epidemic period
  • Rossana Di Staso, a.a. 2020/2021, Assessing the relation between the spreading of COVID-19, and air quality and meteorological data in Emilia-Romagna, Italy
  • Gianluca Bertaccini, a.a. 2020/2021, Spectral and neural gas clustering techniques for
    software defect prediction: performance evaluation with different feature selection methods
  • Gaetano Aloisio, a.a. 2020/2021, Missing values imputation and supervised classifiers: an extensive analysis
  • Andrea Marzocchi, a.a. 2020/2021, Anomaly Detection using NLP Techniques and ML Models
  • Yue Yang, a.a. 2020/2021, Application of Natural Language Processing and Machine learning techniques on unstructured log data of open source software on GitHub

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