projects

A collection of active projects under the LogDS Group

LogDS group revolves around very theoretical research projects having an immediate fallback in practical use case scenarios. Some of my interests are the following:

  • Theoretical Background:
    • Verified and Explainable Artificial Intelligence (Temporal, Natural Language Processing)
    • Multimodal and Object-Oriented Database Theory and Query Languages
    • Inconsistency Metrics
  • Practical Use Case Scenarios:
    • Recommendation Systems
    • Data Analytics
    • Evolutionary Microservice Architectures for/with Data Science
    • Zero Model-Fitting (no Neural-Network, no Bayesian Model, no Markov Logic Network) AI

Giacomo Bergami’s website provides a full list of older projects he was involved in as a student.

GitHub
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KnoBAB

A fast LTLf Log-SAT Solver and miner with Data Payload
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LaSSI

A pipeline for machine-readable and explainable Natural Language Processing.
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DatagramDB

An implementation of a main-memory database supporting the General Semistructured Model with a Graph Grammar-driven Query Language

SimulatorBridger

A simulator for osmotic and 6G smart-city architectures.

Research

fun