Academic Staff

Davide Martinenghi
Lab director
Letizia Tanca
Daniele Maria Braga

Postdoc Researchers and PhD Students

Emilia Lenzi
Davide Piantella
Chiara Criscuolo

International Collaborators

Paolo Papotti
EURECOM, France
Sihem Amer-Yahia
CNRS, U. Grenoble Alpes, France
H V Jagadish
University of Michigan, USA
Kostas Stefanidis
Tampere University, Finland
Paolo Papotti
EURECOM, France
Sihem Amer-Yahia
CNRS, U. Grenoble Alpes, France
H V Jagadish
University of Michigan, USA
Kostas Stefanidis
Tampere University, Finland

MSc Students

RANKING & PREFERENCES

  • Tommaso Pasini – Ongoing work on fairness and top-k queries

  • Andrea Paolo Arbasino – Directional queries: a proposal for enhancing top-k queries

  • Giuseppe Asaro – On Efficient Decision Making: strategies and heuristics for computing Skyline with parallel algorithms

  • Emilio De Lorenzis – Computation of the Flexible Skylines in a distributed environment

  • Stefano Fumagalli – Directional queries: a proposal for enhancing top-k queries

  • Etion Pinari – Parallel Implementations of the Skyline Query using PySpark

  • Alessandro Pindozzi – Scalable Solutions for Skyline Computation using PySpark: Exploring Parallel Algorithms

  • Marco Somaschini – Measuring and enhancing linear top-k queries’ ability to discover the skyline

FAIRNESS

  • Raul Eduardo Vergara Lacotoure – Ongoing work on intersectionality of fairness
  • Alireza Tahmasebi – FairDataFlow: a Modern Solution to Ensure Data Quality and Fairness
  • Giuseppe Piccirillo – A survey on intersectionality in fair rankings

LLM-ENHANCED DATA MANAGEMENT / DATABASE QUESTION ANSWERING

  • Marco Riva – Ongoing work on database question answering capabilities
  • Ines Hafdaoui – Ongoing work on database question answering capabilities
  • Sebastiano Piantanida – Evaluation of LLMs Capabilities for Table Question Answering on Incomplete Structured Data

DATA PREPARATION

  • Carlo Barozzi – A Data Preparation Pipeline for the Analysis of the Influence of Weather Events on Power Grid Failures

  • Andrea Moschetti – A Data Preparation Pipeline for the Analysis of the Influence of Weather Events on Power Grid Failures

  • Marco Zanoni – A Data Processing Pipeline for Defect Detection in Printed Circuit Boards

GRAPH DATABASES

  • Sraavya Duggaraju Venkata – Ongoing work on triggers in Memgraph

  • Matteo Pisani – A lightweight reasoning engine with Neo4j triggers

  • Lorenzo Auletta – Graph-Based Representation for Clinical Images Metadata: A Neo4j Implementation (published work and Best Poster Award at MetroXRAINE 2025)

ER MODEL

  • Chenming Zhao – Translation of E/R Diagrams to SQL Code with Constraints and Triggers: Collapse of Hierarchies

  • Adel Yassin – DBPlayground: The Beginning of Hierarchies in ER-to-DBMS Tools

  • Francesca De Donato – A Data Management Solution to facilitate Sustainability Assessment in Urban Contexts

DATA INTEGRATION AND DECISION SUPPORT

  • Tommaso Andaloro – Ongoing work on feature extraction from multimedia datasets to analyze the impact of aesthetic aspects on building usage patterns.
  • Davide Ciuffreda – Ongoing work on feature extraction from multimedia datasets to analyze the impact of aesthetic aspects on building usage patterns.
  • Marco Ciammaichella – Ongoing work on feature extraction from multimedia datasets to analyze the impact of aesthetic aspects on building usage patterns.
  • Giuseppe Giovia – Leveraging Deep learning and Feature Importance Methods to Study the Influence of Traffic and Weather on Air Quality in Milan
  • Marcello Bavaro – Italian Word Embeddings and Machine Translation: Application in the Biomedical Field
  • Lorenzo Amata – SEASHELL: A Resource Consumption Benchmark for Analysis Tasks in Healthcare Data Lakes
  • Walter Catalfamo – Schema Alignment with Query Reverse Engineering
  • Gianmarco Naro – Development and Application of a QGIS Plug-in for the Geospatial Analysis of Urban Transit Networks
  • Valeria Maria Fortina – Rucio: A Comprehensive Solution for Managing Data in a Health Data Lake
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