Foto del docente

Danilo Montesi

Full Professor

Department of Computer Science and Engineering

Academic discipline: INFO-01/A 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 are some instructions [http://smartdata.cs.unibo.it/internships-thesis://] for writing essays, internships and thesis (work in progress).

Available thesis (and internships)

1. Biomedical/socio-clinical data analysis

  • Mining of clinical data for the prediction of serious unexpected events

  • Clinical predictions using heterogeneous data of patients (text, codes, parameters)

  • 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 diagnosis

  • Domain-specific word embeddings for ICD (semi)automatic coding of discharge texts

4. Cloud/social networks/digital forensics

  • 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

  • Watermarking for Large Language Models

6. Competition in Digital markets

  • competition among service/app providers in the digital markets

  • data portability/open access as technical solution to foster competition

  • online search engine ranking and competition alteration

  • artificial intelligence and competition

7. Similarity distances for plagiarism detection in

  • source code

  • text

  • user experience (human-computer interaction + graphical aspects)

8. Interpretability and Explainability in AI using