Biography

Dr Andrea Visentin is an Assistant Professor and the PhD Programme Director at the School of Computer Science & IT at University College Cork (Ireland). He holds a BSc and an MSc in Computer Engineering from the University of Padua (Italy) and completed a PhD at the Insight Centre for Data Analytics (UCC). 
He is a Funded Investigator at the SFI Insight Centre for Data Analytics, a Principal Investigator for the DATAMITE Horizon Europe project, and part of the SFI Centre for Research Training in AI, the Tyndall National Institute and the TAILOR research network. 


Research Interests

His research focuses on optimization, artificial intelligence, and their combination. In optimization, the main emphasis is on stochastic inventory control and lot sizing. In AI, his work includes applications in boolean satisfiability, time series forecasting, infrastructure health prediction, medical biophotonics, and supply chain optimization. 
Andrea is interested in AI and ethics. He collaborated with the European Commission High-Level Expert Group on AI (HLEG-AI) on the development of the Assessment List for Trustworthy Artificial Intelligence (ALTAI) tool and the development of the TAILOR Handbook of Trustworthy AI, which aims to describe AI concepts to a lay audience.

Peer Reviewed Journals

  Year Publication
(2024) 'Electricity Price Forecasting in the Irish Balancing Market'
O’Connor, Ciaran and Collins, Joseph and Prestwich, Steven and Visentin, Andrea (2024) 'Electricity Price Forecasting in the Irish Balancing Market'. Energy Strategy Reviews, 54 [Details]
(2024) 'Extended-wavelength diffuse reflectance spectroscopy dataset of animal tissues for bone-related biomedical applications'
Li, Celina L and Fisher, Carl J and Komolibus, Katarzyna and Lu, Huihui and Burke, Ray and Visentin, Andrea and Andersson-Engels, Stefan (2024) 'Extended-wavelength diffuse reflectance spectroscopy dataset of animal tissues for bone-related biomedical applications'. Scientific Data, 11 (1) [Details]
(2024) 'AI-Based Task Classification With Pressure Insoles for Occupational Safety'
O’Sullivan, Patricia and Menolotto, Matteo and Visentin, Andrea and O’Flynn, Brendan and Komaris, Dimitrios-Sokratis (2024) 'AI-Based Task Classification With Pressure Insoles for Occupational Safety'. IEEE Access, [Details]
(2024) 'Road Pavement Health Monitoring System Using Smartphone Sensing with a Two-Stage Machine Learning Model'
Zhao, Kai and Xu, Shuoshuo and Loney, James and Visentin, Andrea and Li, Zili (2024) 'Road Pavement Health Monitoring System Using Smartphone Sensing with a Two-Stage Machine Learning Model'. Automation In Construction, [ Publisher's Version] [Details]
(2023) 'Frameworks of wavelength selection in diffuse reflectance spectroscopy for tissue differentiation in orthopedic surgery'
Li, Celina L and Fisher, Carl J and Komolibus, Katarzyna and Grygoryev, Konstantin and Lu, Huihui and Burke, Ray and Visentin, Andrea and Andersson-Engels, Stefan (2023) 'Frameworks of wavelength selection in diffuse reflectance spectroscopy for tissue differentiation in orthopedic surgery'. Journal of Biomedical Optics, 28 (12):121207-121207 [Details]
(2023) 'On forecasting cryptocurrency prices: A comparison of machine learning, deep learning, and ensembles'
Murray, Kate and Rossi, Andrea and Carraro, Diego and Visentin, Andrea (2023) 'On forecasting cryptocurrency prices: A comparison of machine learning, deep learning, and ensembles'. Forecasting, 5 (1):196-209 [Details]
(2023) 'Stochastic dynamic programming heuristic for the (R, s, S) policy parameters computation'
Visentin, Andrea and Prestwich, Steven and Rossi, Roberto and Tarim, S Armagan (2023) 'Stochastic dynamic programming heuristic for the (R, s, S) policy parameters computation'. Computers & Operations Research, 158 [Details]
(2023) 'Establishing the original order of the poems in Harward’s Almanac using paleography, codicology, X-ray fluorescence spectroscopy, and statistical analysis'
Veronica Biolcati, James Woolley, Élodie Lévêque, Andrea Rossi, Anna Grace Hoffmann, Andrea Visentin, Pádraig Ó Macháin, Daniela Iacopino (2023) 'Establishing the original order of the poems in Harward’s Almanac using paleography, codicology, X-ray fluorescence spectroscopy, and statistical analysis'. Heritage Science, [Details]
(2021) 'Computing optimal (R,s,S) policy parameters by a hybrid of branch-and-bound and stochastic dynamic programming'
Visentin, Andrea; Prestwich, Steven; Rossi, Roberto; Tarim, S. Armagan (2021) 'Computing optimal (R,s,S) policy parameters by a hybrid of branch-and-bound and stochastic dynamic programming'. European Journal of Operational Research, [ Publisher's Version] [DOI] [Full Text] [Details]

Other Journals

  Year Publication
(2024) 'CBA 2.0 Scale Primarie: Nuovi dati e criteri interpretativi per le problematiche depressive'
Michielin, Paolo and Pizzo, Susanna and Cilia, Silvana and Contino, Chiara and Bettinardi, Ornella and Bertolotti, Giorgio and Panzeri, Anna and Sanavio, Ezio and Vidotto, Giulio and Visentin, Andrea and others (2024) 'CBA 2.0 Scale Primarie: Nuovi dati e criteri interpretativi per le problematiche depressive' Psicoterapia Cognitiva e Comportamentale, 30 (1) . [Details]

Conference Publications

  Year Publication
(2024) The 32ns European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2024)
Daniel Crowley, Marco Dalla, Barry O’Sullivan, Andrea Visentin (2024) SAT Instances Generation Using Graph Variational Autoencoders The 32ns European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2024) , pp.369-374 [Details]
(2024) Data Science for Photonics and Biophotonics
Innocente, Simone and Maryam, Siddra and Andersson-Engels, Stefan and Komolibus, Katarzyna and Gautam, Rekha and Visentin, Andrea (2024) A comprehensive pipeline to integrate preprocessing and machine learning techniques for accurate classification in Raman spectroscopy Data Science for Photonics and Biophotonics , pp.51-57 [Details]
(2024) Data Science for Photonics and Biophotonics
Rossberg, Nicola and Li, Celina L and Andersson-Engels, Stefan and O'Sullivan, Barry and Komolibus, Katarzyna and Visentin, Andrea (2024) Explainable machine learning for the multiclass classification of diffuse reflectance spectroscopy signals in orthopaedic applications Data Science for Photonics and Biophotonics , pp.83-94 [Details]
(2024) International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
Visentin, Andrea and Gallch\'oir, Aodh \'O and K\"archer, Jens and Meyr, Herbert (2024) Explainable Algorithm Selection for the Capacitated Lot Sizing Problem International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research , pp.243-252 [Details]
(2023) International Symposium on Algorithmic Aspects of Cloud Computing
Rossi, Andrea and Visentin, Andrea and Prestwich, Steven and Brown, Kenneth N (2023) Clustering-Based Numerosity Reduction for Cloud Workload Forecasting International Symposium on Algorithmic Aspects of Cloud Computing , pp.115-132 [Details]
(2023) International Symposium on Algorithmic Aspects of Cloud Computing
Andrea Rossi, Andrea Visentin, Steven Prestwich, Kenneth N Brown (2023) Clustering-Based Numerosity Reduction for Cloud Workload Forecasting International Symposium on Algorithmic Aspects of Cloud Computing [Details]
(2023) International Symposium on Algorithmic Aspects of Cloud Computing
Rossi, Andrea and Visentin, Andrea and Prestwich, Steven and Brown, Kenneth N (2023) Clustering-Based Numerosity Reduction for Cloud Workload Forecasting International Symposium on Algorithmic Aspects of Cloud Computing , pp.115-132 [Details]
(2023) Proceedings of the International Symposium on Combinatorial Search
Dalla, Marco and Provan-Bessell, Benjamin and Visentin, Andrea and O'Sullivan, Barry (2023) SAT feature analysis for machine learning classification tasks Proceedings of the International Symposium on Combinatorial Search , pp.138-142 [Details]
(2023) Proceedings of the International Symposium on Combinatorial Search
Bergin, Ruth Helen and Dalla, Marco and Visentin, Andrea and O'Sullivan, Barry and Provan, Gregory (2023) Using machine learning classifiers in SAT branching Proceedings of the International Symposium on Combinatorial Search , pp.169-170 [Details]
(2023) 2023 IEEE 31st International Conference on Network Protocols (ICNP)
Carraro, Diego and Rossi, Andrea and Visentin, Andrea and Prestwich, Steven and Brown, Kenneth N (2023) Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting 2023 IEEE 31st International Conference on Network Protocols (ICNP) , pp.1-6 [Details]
(2022) 2022 IEEE 15th International Conference on Cloud Computing (CLOUD)
Rossi, Andrea and Visentin, Andrea and Prestwich, Steven and Brown, Kenneth N (2022) Bayesian uncertainty modelling for cloud workload prediction 2022 IEEE 15th International Conference on Cloud Computing (CLOUD) , pp.19-29 [Details]
(2021) Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Dalla M.;Visentin A.;O'Sullivan B. (2021) Automated SAT Problem Feature Extraction using Convolutional Autoencoders Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI , pp.232-239 [DOI] [Full Text] [Details]
(2019) 2019 IEEE 31ST INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2019)
Visentin, A;Nardotto, A;O'Sullivan, B (2019) Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier 2019 IEEE 31ST INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2019) , pp.1820-1824 [DOI] [Details]
(2019) World Congress on Global Optimization 2019
Visentin, Andrea; Prestwich, Steven D.; Rossi, Roberto; Tarim, Armagan (2019) Modelling Dynamic Programming-based global constraints in Constraint Programming World Congress on Global Optimization 2019 Metz, France, , 08-JUL-19 - 10-JUL-19 , pp.417-427 [ Publisher's Version] [DOI] [Full Text] [Details]
(2018) 4th Global Conference on Artificial Intelligence
SD Prestwich, R Rossi, SA Tarim, A Visentin (2018) Towards a Closer Integration of Dynamic Programming and Constraint Programming 4th Global Conference on Artificial Intelligence [Details]
(2016) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Visentin A.;Prestwich S.;Armagan Tarim S. (2016) Robust principal component analysis by reverse iterative linear programming Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , pp.593-605 [DOI] [Details]

Teaching Interests

Andrea has been lecturing at UCC since 2019. He is now teaching Data Analytics for Digital Humanities I & II (CS2213, CS2215) and Data Mining (CS3033, CS6405).

He is a dedicated lecturer with a teaching philosophy focused on making learning relevant, engaging, and practical. He believes in preparing students for real-world challenges by connecting course content to industry needs and using hands-on activities to reinforce key concepts. His approach emphasizes active learning, continuous assessment, and tailoring teaching methods to suit different learning styles. Drawing on his training in teaching and learning, Andrea constantly reviews and improves his methods based on student feedback and outcomes. By integrating practical skills and real-world applications into his teaching, he helps students build the knowledge and confidence they need to succeed in the workplace.

His commitment to teaching, the quality of the curriculum, and the positive impact on students have been recognized by the UCC President’s Awards for Excellence in Teaching 2023/24 (Early-career Teaching Staff category), which was awarded on the 3rd of December 2024.