Foto del docente

Danilo Montesi

Full Professor

Department of Computer Science and Engineering

Academic discipline: INF/01 Informatics

Teaching

Dissertation topics suggested by the teacher.

Below a partial list of thesis and internships. Please talk to me during office hours for more details. Here some instructions for writing document for essays, internships and thesis http://smartdata.cs.unibo.it/internships-thesis (work in progress).

Available thesis (and internships)

1. Biomedical/socio-clinical data analysis

  • Data mining of clinical data for the prediction of serious unexpected events
  • Clinical predictions using heterogeneous data of patients (text, codes, parameters)
  • Frailty index computation using Machine Learning
  • PubMed full-text dataset crawling and scraping

2. Temporal Information Retrieval and Mining

  • Tree index for access and search of time intervals in text
  • Evaluation of Temporal Word Embeddings in web archives for text classification

3. Text Mining

  • Text classification in the International Classification of Diseases (ICD-9, ICD-10) for Emergency Department diagnoses
  • Domain-specific word embeddings for ICD (semi)automatic coding of discharge texts

4. Cloud/social networks/digital forensics

  • Data exploration tool for investigating social networks of crime-involved subjects
  • Text, pictures and sensors digital footprints analysis

5. Copyright and watermarking

  • Text authorship attribution by learning characterizing features of writing styles from big datasets
  • Text watermarking and digital rights management for copyright protection
  • Fake news tracking using watermarking to certify the source reliability

6. Similarity Distances for plagiarism detection in

  • source code
  • text
  • numbers
  • images
  • video
  • audio
  • user experience (human-computer interaction + graphical aspects)

7. Software development for

  • iOS+Android apps connected to server side data processing
  • clinical and medical data processing using anonymization and privacy preserving methods
  • end to end data encryption