Research groups

Algorithmic Bioinformatics and Natural Computing

Ferdinando Cicalese: Full Professor (Department Computer Science)
Rosalba Giugno: Associate Professor (Department Computer Science)
Manuele Bicego: Associate Professor (Department Computer Science)
Simone Avesani: PhD student (Department Computer Science)
Davide Cenzato: PhD student (Department Computer Science)
Sara Giuliani: PhD student (Department Computer Science)
Manuel Tognon: PhD student (Department Computer Science)

Giuditta Franco: Assistant Professor (Department Computer Science)
Zsuzsanna Liptak: Associate Professor (Department Computer Science)
Vincenzo Bonnici: Research Assistants (Department Computer Science)
Samuele Cancellieri: PhD student (Department Computer Science)
Luca Giudice: PhD student (Department Computer Science)
Antonella Mensi: PhD student (Department Computer Science)

Research interests
Topic	Research area
Algorithms for Bioinformatics	Bioinformatica e informatica medica Life and medical sciences
String algorithms	Informatica teorica Design and analysis of algorithms
Algorithmic bioinformatics	Bioinformatica e informatica medica Life and medical sciences
Bioinformatics and Computational Biology	Bioinformatica e informatica medica Life and medical sciences
Bioinformatics and Natural Computing	Bioinformatica e informatica medica Life and medical sciences
Biological network dynamics	Bioinformatica e informatica medica Life and medical sciences
Computational genomics and DNA computing	Bioinformatica e informatica medica Life and medical sciences
Decision Tree Optimization	Sistemi intelligenti Machine learning
Systems Biology, Computational Network Biology	Bioinformatica e informatica medica Life and medical sciences
Pattern Recognition	Sistemi intelligenti Machine learning
Computer Vision	Sistemi intelligenti Artificial intelligence

Laboratories and Research Centres
Name	Description
Laboratorio INFOMICS	Il laboratorio InfOmics (Information Omics) è dedicato all'analisi computazionale di dati omici. La nostra ricerca va dall'analisi del genoma alle reti applicate per la comprensione dei sistemi biologici. Sviluppiamo nuovi metodi utilizzando la teoria dei grafi, la teoria dell'informazione, approcci algoritmici e ingegnerizzazione di strutture dati anvanzate.