Paolo Mignone's Home Page Research Interests Machine Learning Predictive Modeling Transfer Learning Multi-Task Learning Positive-Unlabeled Learning Anomaly Detection Time Series Forecasting Link Prediction Application Areas Astroinformatics Bioinformatics Biomedical Informatics Digital Forensics Environmental Monitoring Smart Grid Analytics
Paolo Mignone Associate Professor Senior ML & Predictive AI Scientist (R&D) Research-driven PoCs Experimental Prototyping Benchmarking Model Evaluation Research Reporting	chrome_reader_mode Publications school Courses work Projects code Software event_note Datasets

Qualification

• PhD in Computer Science from University of Bari Aldo Moro, Italy, February 2020

Academic career

• February 2026 - now Associate Professor at the Department of Information Science and Technology, Pegaso University
• December 2020 - December 2025 Assistant Professor at the KDDE Research Lab, Department of Computer Science, University of Bari Aldo Moro
• December 2019 - December 2020 Research Fellow at the KDDE Research Lab, Department of Computer Science, University of Bari Aldo Moro
• November 2016 - February 2020 PhD student in Computer Science at the KDDE Research Lab, Department of Computer Science, University of Bari Aldo Moro

Activities

Organizing Chair

• European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Demo Session) (ECML-PKDD 2026), Napoli (Italy), September 07-11, 2026
• 13th Workshop New Frontiers in Mining Complex Patterns 2025 (NFMCP 2025) @ ECML-PKDD 2025
• 12th Workshop New Frontiers in Mining Complex Patterns 2024 (NFMCP 2024) @ ECML-PKDD 2024
• 11th Workshop New Frontiers in Mining Complex Patterns 2023 (NFMCP 2023) @ ECML-PKDD 2023
• 10th Workshop New Frontiers in Mining Complex Patterns 2022 (NFMCP 2022) @ ECML-PKDD 2022

Editorial Board Member

• Discover Artificial Intelligence, Electronic ISSN: 2731-0809

Guest Editorial Board Member

• European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2026), Applied Data Science Track
• European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2026), Journal Track
• European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021), Journal Track

Editorial Committee

• IFCS 2022 - Classification and Data Science in the Digital Age, Machine Learning Journal, special issue

Publication Chair

• The 5th Italian Conference on Big Data and Data Science 2026 (ITADATA 2026)
• 26th International Symposium on Methodologies for Intelligent Systems 2022 (ISMIS 2022)

Program Committee

• International Joint Conference on Artificial Intelligence (IJCAI 2020, 2021, 2022, 2023, 2024, 2025, 2026)
• The ACM Web Conference (WWW 2026)
• European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020, 2021, 2022, 2023, 2024, 2025, 2026)
• European Conference on Artificial Intelligence (ECAI 2024, 2025)
• International Conference on Information and Knowledge Management (CIKM 2024, 2025, 2026)
• International Conference on Machine Learning, Optimization, and Data Science (LOD 2024, 2025)
• International Symposium on Methodologies for Intelligent Systems 2022 (ISMIS 2022, 2024)
• Conference on Computer Science and Intelligence Systems (FedCSIS 2022, 2023, 2024, 2025)
• Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE 2020, 2021)
• International Conference on Advances in Social Network Analysis and Mining (ASONAM 2022)
• Open World Anomaly Detection in Dynamic and Evolving Environments (OWAD 2025, IEEE ICDM 2025 Workshop)

Organizing Committee

• 9th International Spring School on Deep Learning (DeepLearn 2023), Bari (Italy), April 03-07, 2023
• Member of the Local Organizing Committee of the University of Bari Aldo Moro for the CyberChallengeIT 2020, 2021
• Italian Research Conference on Digital Libraries (IRCDL 2020, January 30-31, 2023, February 23-24, Bari (Italy))
• European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje (Macedonia), September 18-22, 2017
• 3rd International Winter School on Big Data (BigDat 2017), Bari (Italy), February 13-17, 2017

Journal Reviewing

• ACM Computing Surveys, print ISSN: 0360-0300, online ISSN: 1557-7341
• Advanced Engineering Informatics, print ISSN: 1474-0346, online ISSN: 1873-5320
• Algorithms, ISSN: 1999-4893
• Applied Sciences, ISSN: 2076-3417
• Artificial Intelligence in Medicine, print ISSN: 0933-3657, online ISSN: 1873-2860
• Bioinformatics, online ISSN: 1367-4811
• Bioinformatics Advances, online ISSN: 2635-0041
• BMC Bioinformatics, ISSN: 1471-2105
• Cognitive Computation, ISSN: 1866-9956, online ISSN: 1866-9964
• Computational and Structural Biotechnology Journal, ISSN: 2001-0370
• Data Mining and Knowledge Discovery, print ISSN: 1384-5810, online ISSN: 1573-756X
• Discover Artificial Intelligence, online ISSN: 2731-0809
• Electronics, ISSN: 2079-9292
• Energy and Buildings, print ISSN: 0378-7788, online ISSN: 1872-6178
• Engineering Applications of Artificial Intelligence, print ISSN: 0952-1976, online ISSN: 1873-6769
• Expert Systems with Applications, print ISSN: 0957-4174
• Forensic Science International: Digital Investigation, ISSN: 2666-2817
• Frontiers in Big Data, online ISSN: 2624-909X
• Future Internet, ISSN: 1999-5903
• IEEE/ACM Transactions on Computational Biology and Bioinformatics, print ISSN: 1545-5963, online ISSN: 1557-9964
• IEEE Transactions on Industrial Informatics, ISSN: 1551-3203
• Information Processing and Management, print ISSN: 0306-4573, online ISSN: 1873-5371
• Information Sciences, print ISSN: 0020-0255, online ISSN: 1872-6291
• Intelligenza Artificiale, print ISSN: 1724-8035, online ISSN: 2211-0097
• International Journal of Computational Intelligence Systems, online ISSN: 1875-6883
• International Journal on Document Analysis and Recognition, print ISSN: 1433-2833, online ISSN: 1433-2825
• Journal of Big Data, online ISSN: 2196-1115
• Journal of Biomedical and Health Informatics, ISSN: 2168-2194
• Journal of Economic Behavior & Organization, online ISSN: 1879-1751, print ISSN: 0167-2681
• Journal of Intelligent Information Systems, print ISSN: 0925-9902, online ISSN: 1573-7675
• Journal of Intelligent Systems, online ISSN: 1098-111X
• Machine Learning, print ISSN: 0885-6125, online ISSN: 1573-0565
• Machine Learning with Applications, online ISSN: 2666-8270
• Mathematics, ISSN: 2227-7390
• Medical & Biological Engineering & Computing, print ISSN: 0140-0118, online ISSN: 1741-0444
• Mobile Information Systems, print ISSN: 1574-017X, online ISSN: 1875-905X
• Neural Networks, print ISSN: 0893-6080, online ISSN: 1879-2782
• Neurocomputing, print ISSN: 0925-2312, online ISSN: 1872-8286
• Pattern Recognition, print ISSN: 0031-3203, online ISSN: 1873-5142
• Reliability Engineering & System Safety, print ISSN: 0951-8320, online ISSN: 1879-0836
• Science & Justice, print ISSN: 1355-0306, online ISSN: 1876-4452
• Scientific Reports, online ISSN: 2045-2322
• Sensors, ISSN: 1424-8220
• Signals, ISSN: 2624-6120
• SoftwareX, online ISSN: 2352-7110
• Swarm and Evolutionary Computation, ISSN: 2210-6502, online ISSN: 2210-6510

Conference Reviewing

• Artificial Intelligence & Knowledge Engineering (AIKE 2020)
• Association for the Advancement of Artificial Intelligence (AAAI 2020, 2021)
• Conference of the International Federation of Classification Societies (IFCS 2022)
• Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2020)
• Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE 2020)
• European Conference on Artificial Intelligence (ECAI 2024, 2025)
• European Conference on Information Retrieval (ECIR 2020)
• European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018, 2020, 2021, 2022, 2023, 2024, 2025)
• International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021)
• International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2024)
• International Conference on Advanced Information Networking and Applications (AINA 2018)
• International Conference on Advances in Social Network Analysis and Mining (ASONAM 2022)
• International Conference on Data Analytics 2018
• International Conference on Data Mining (ICDM 2018, 2020, 2021, 2022, 2025)
• International Conference on Discovery Science (DS 2017, 2020, 2021, 2024, 2025)
• International Conference on Dependable Systems and Networks (DSN 2022)
• International Conference on Information and Knowledge Management (CIKM 2017, 2018, 2019, 2020, 2021, 2024, 2025)
• International Conference on Machine Learning and Data Mining (MLDM 2019)
• International Conference on Machine Learning, Optimization & Data Science (LOD 2021)
• International Conference on Mining Intelligence & Knowledge Exploration (MIKE 2021)
• International Conference on Pattern Recognition (ICPR 2022)
• International Conference on Pattern Recognition Applications and Methods (ICPRAM 2018)
• International Conference on Web Intelligence (WI 2017)
• International Joint Conference on Artificial Intelligence (IJCAI 2017, 2019, 2020, 2021, 2022, 2023, 2024, 2025)
• International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2020, 2021)
• International Symposium on Methodologies for Intelligent Systems (ISMIS 2022)
• Italian Research Conference on Digital Libraries (IRCDL 2019)
• Society for Industrial and Applied Mathematics International Conference on Data Mining (SDM 2018, 2019, 2020, 2021, 2023)
• Symposium on Advanced Database Systems (SEBD 2020, 2022, 2024, 2025)
• Symposium on Applied Computing (SAC 2018)
• The ACM Web Conference (WWW 2026)

Publications

International Journals

• Paolo Mignone, Michele De Carolis Machine learning for the prioritization of Dyson sphere candidates, Expert Systems with Applications, online ISSN: 1873-6793, print ISSN: 0957-4174, 2026, DOI: 10.1016/j.eswa.2026.131232
• Antongiacomo Polimeno, Paolo Mignone, Chiara Braghin, Marco Anisetti, Michelangelo Ceci, Donato Malerba, and Claudio A. Ardagna Balancing Protection and Quality in Big Data Analytics Pipelines, Big Data, online ISSN: 2167-647X, Print ISSN: 2167-6461, 2025, DOI: 10.1089/big.2023.0065
• Paolo Mignone, Gianvito Pio, Michelangelo Ceci Distributed Heterogeneous Transfer Learning, Big Data Research, online ISSN: 2214-580X, Print ISSN: 2214-5796, 2024, DOI: 10.1016/j.bdr.2024.100456
• Paolo Mignone, Roberto Corizzo, Michelangelo Ceci Distributed and Explainable GHSOM for Anomaly Detection in Sensor Networks, Machine Learning, online ISSN: 1573-0565, Print ISSN: 0885-6125, 2024, DOI: 10.1007/s10994-023-06501-y
• Gianvito Pio, Paolo Mignone, Giuseppe Magazzù, Guido Zampieri, Michelangelo Ceci, Claudio Angione Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction, Bioinformatics, online ISSN: 1460-2059, Print ISSN: 1367-4803, 2021, DOI: 10.1093/bioinformatics/btab647
• Paolo Mignone, Gianvito Pio, Domenica D’Elia, Michelangelo Ceci, Big Data analytics for knowledge transfer among organisms while reconstructing Gene Regulatory Networks, Abstract on EMBnet. Special issue to Biostatistics and Mathematical Modelling in Bioinformatics, Vol. 26, 2020, DOI: 10.14806/ej.26.A.956
• Daniela Mazzolini, Paolo Mignone, Patrizia Panav, Gennaro Vessio, An easy-to-explain decision support framework for forensic analysis of dynamic signatures, Forensic Science International: Digital Investigation, ISSN: 2666-2817, Vol. 38, N° 301216, September, 2021, DOI: 10.1016/j.fsidi.2021.301216
• Paolo Mignone, Gianvito Pio, Sašo Džeroski, Michelangelo Ceci, Multi-task learning for the simultaneous reconstruction of the human and mouse gene regulatory networks, Nature - Scientific Reports, online ISSN: 2045-2322, Vol. 10, N° 22295, December 18th, 2020, DOI: 10.1038/s41598-020-78033-7
• Paolo Mignone, Link Prediction via Transfer Learning across Multiple Domains, Selected Ph.D. Thesis Abstracts, The IEEE Intelligent Informatics Bulletin, online ISSN: 1727-6004, Print ISSN: 1727-5997, Vol. 20, N° 1, October, 2020 (whole issue)
• Michelangelo Ceci, Roberto Corizzo, Nathalie Japkowicz, Paolo Mignone, Gianvito Pio, ECHAD: embedding-based change detection from multivariate time series in smart grids, IEEE Access, online ISSN: 2169-3536, Vol. 8, Pages: 156053 - 156066, August 24th, 2020, DOI: 10.1109/ACCESS.2020.3019095
• Biserka Petrovska, Tatjana Atanasova-Pacemska, Roberto Corizzo, Paolo Mignone, Petre Lameski, Eftim Zdravevski, Aerial Scene Classification through Fine-Tuning with Adaptive Learning Rates and Label Smoothing, Applied Sciences, online ISSN: 2076-3417, Vol. 10, Issue 17, N° 5792, August 21st, 2020, DOI: 10.3390/app10175792
• Paolo Mignone, Gianvito Pio, Domenica D’Elia, Michelangelo Ceci, Exploiting transfer learning for the reconstruction of the human gene regulatory network, Bioinformatics, online ISSN: 1460-2059, Print ISSN: 1367-4803, Vol. 36, Issue 5, Pages 1553 – 1561, March, 2020, DOI: 10.1093/bioinformatics/btz781
• Giuseppe Pirlo, Vito Cuccovillo, Moisés Díaz Cabrera, Donato Impedovo, Paolo Mignone, Multidomain Verification of Dynamic Signatures Using Local Stability Analysis, IEEE Transactions on Human-Machine Systems, online ISSN: 2168-2305, Print ISSN: 2168-2291, Vol. 45, Issue 6, Pages: 805 - 810, July 1st, 2015, DOI: 10.1109/THMS.2015.2443050

International Conferences

• Paolo Mignone, Donato Malerba, Michelangelo Ceci, Anomaly Detection for Public Transport and Air Pollution Analysis. Big Data 2022: pp 2867-2874, DOI: 10.1109/BigData55660.2022.10020470
• Paolo Mignone, Gianvito Pio, Michelangelo Ceci, Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. Big Data 2022: pp 5536-5541, DOI: 10.1109/BigData55660.2022.10020270
• Paolo Mignone, Anisetti Marco, Claudio Ardagna, Costantino Mele, Alessandro Balestrucci, Chiara Braghin, Ernesto Damiani, Antongiacomo Polimeno, Donato Malerba and Michelangelo Ceci, Big Data Ingestion and Analytics for Physical Threat Intelligence, The International Emergency Management Society TIEMS 2021 conference, program
• Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz, Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. DS 2021 : 24th International Conference on Discovery Science, DOI: 10.1007/978-3-030-88942-5_36, 2021
• Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci, Simultaneous Process Drift Detection and Characterization with Pattern-based Change Detectors. DS 2020 : 23rd International Conference on Discovery Science, DOI: 10.1007/978-3-030-61527-7_30, 2020
• Paolo Mignone, Gianvito Pio, Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction. ISMIS 2018 : the 24th International Symposium on Methodologies for Intelligent Systems, DOI: 10.1007/978-3-030-01851-1_2, 2018
• Giuseppe Pirlo, Vito Cuccovillo, Donato Impedovo, Paolo Mignone, On-Line Signature Verification by Multi-domain Classification. ICFHR 2014 : the 14th International Conference on Frontiers in Handwriting Recognition, DOI: 10.1109/ICFHR.2014.19, 2014

National Conferences

• Paolo Mignone, Gianvito Pio, Michelangelo Ceci, Distributed Heterogeneous Transfer Learning, Young Virtual Poster Session, General Conference FAIR Project, 22th September 2024, Naples video
• Paolo Mignone, Donato Malerba, Michelangelo Ceci, Anomaly Detection for Physical Threat Intelligence, ITADATA 2022 : the 1st Italian Conference on Big Data and Data Science September 20-21 2022 Milan, Italy
• Paolo Mignone, Gianvito Pio, Michelangelo Ceci, Distributed Heterogeneous Transfer Learning (discussion paper), SEBD 2022 : the 30th Italian Symposium on Advanced Database Systems
• Paolo Mignone, Gestione intelligente dei processi, etica e tecnologia per la sicurezza urbana. Progettazione e sviluppo di una piattaforma di prevenzione delle minacce urbane e ambientali per città intelligenti, smartcommunities conference 2021, smart communities tech, italian technology cluster for smart communities, April 13th Booklet, Presentation
• Paolo Mignone, Michelangelo Ceci, Gianvito Pio, Donato Malerba, Domenica D'Elia, Transfer Learning for Gene Network Reconstruction, BITS 2019 : 16th Annual Meeting of the Bioinformatics Italian Society June 26-28, 2019, Palermo, Italy
• Paolo Mignone, Gianvito Pio, Michelangelo Ceci, Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (discussion paper), SEBD 2019 : the 27th Italian Symposium on Advanced Database Systems
• Gianvito Pio, Michelangelo Ceci, Paolo Mignone, Emanuele Pio Barracchia, Donato Malerba, Machine learning per Health & Medicine, Ital-IA 2019 : primo Convegno Nazionale CINI sull'Intelligenza Artificiale - Workshop AI for Health and Medicine, Paper, Presentation
• Gianvito Pio, Emanuele Pio Barracchia, Paolo Mignone, Francesca Prisciandaro, Domenica D'Elia, Donato Malerba, Michelangelo Ceci. Data mining methods for the analysis of heterogeneous biological networks. InfoLife 2018 workshop

PhD Forum

• Paolo Mignone, Gianvito Pio, Michelangelo Ceci, Gene Network Reconstruction via Transfer Learning across Multiple Organisms. ECML PKDD 2017: the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases. 18th-22th September 2017 - Skopje - Macedonia

Courses

PhD Programme in Computer Science and Mathematics

• Big Data, Data mining, Machine Learning: Machine Learning Settings for Big Data Analytics (1.5 CFU, 12 hours, course period May 2023)
• Transfer Learning (2 CFU, 16 hours, course period Mar-Apr 2022)
• Business Data Analytics and Social Network Analysis (1 CFU, 8 hours, course period May-Jun 2020)

Undergraduate Courses

• Fundamentals of Artificial Intelligence for Bioinformatics (9 CFU course; teaching contribution: 2 CFU, 10 asynchronous didactic delivery (DE) hours + 8-12 interactive teaching (DI) hours over 2-3 cycles, 18-22 hours total) - INFO-01-A - Computer Science for Digital Companies Bachelor's Degree (L-31), Pegaso University - 2026/2027
• Fundamentals of Bioinformatics and Digital Health (6 CFU course; teaching contribution: 3 CFU, 15 asynchronous didactic delivery (DE) hours + 12-18 interactive teaching (DI) hours over 2-3 cycles, 27-33 hours total) - INFO-01-A - Computer Science for Digital Companies Bachelor's Degree (L-31), Pegaso University - 2026/2027
• Bioinformatics Laboratory (2 CFU course; teaching contribution: 1 CFU, 5 asynchronous didactic delivery (DE) hours + 4-6 interactive teaching (DI) hours over 2-3 cycles, 9-11 hours total) - INFO-01-A - Computer Science for Digital Companies Bachelor's Degree (L-31), Pegaso University - 2026/2027
• Computer Skills (6 CFU course; interactive teaching (DI) activity: 24-36 hours over 2-3 cycles) - INFO-01-A - Economics, Digital Data Analysis and Public Administration Master's Degree (LM-56), Pegaso University - 2025/2026
• Elements of Data Mining (6 CFU, 4 lessons, 2 laboratory, 62 hours) - Transversal Skills, Data Processing Digital Skills, Bari - 2024/2025
• Database Systems (9 CFU, 7 lessons, 2 laboratory, 86 hours) - ING-INF/05 - Computer Science Master's Degree, Bari - 2024/2025
• Elements of Data Mining (6 CFU, 4 lessons, 2 laboratory, 62 hours) - Transversal Skills, Data Processing Digital Skills, Bari - 2023/2024
• Data Mining (6 CFU, 4 lessons, 2 laboratory, 62 hours) - ING-INF/05 - Computer Science and Software Production Technologies Bachelor's Degree, Bari - 2022/2023
• Data Mining (6 CFU, 4 lessons, 2 laboratory, 62 hours) - ING-INF/05 - Computer Science and Software Production Technologies Bachelor's Degree, Bari - 2021/2022
• Database Design (2 CFU laboratory, 30 hours) - INF/01 - Computer Science and Software Production Technologies Bachelor's Degree, Bari - 2023/2024
• Database Systems (2 CFU laboratory, 30 hours) - ING-INF/05 - Computer Science Master's Degree, Bari - 2023/2024
• Database Systems (4 CFU, 2 lessons, 2 laboratory, 46 hours) - ING-INF/05 - Computer Science Master's Degree, Bari - 2022/2023
• Database Systems (4 CFU, 2 lessons, 2 laboratory, 46 hours) - ING-INF/05 - Computer Science Master's Degree, Bari - 2021/2022
• Cyber Security (6 CFU, 4 lessons, 2 laboratory, 62 hours) - ING-INF/05 - Computer Science and Software Production Technologies Bachelor's Degree, Bari - 2020/2021
• Application Security (1 CFU laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2022/2023
• Application Security (1 CFU laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2022/2023
• Application Security (1 CFU laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2021/2022
• Integrative Teaching in Application Security (1 CFU laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2020/2021
• Integrative Teaching in Application Security (1 CFU laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2019/2020
• Integrative Teaching in Application Security (1 CFU laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2018/2019
• Secure Systems Design (6 CFU, 4 lessons, 2 project, 32 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2020/2021
• Secure Systems Design (6 CFU, 4 lessons, 2 project, 32 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2019/2020
• Digital Technology for Business Analysis (1 CFU, 7 hours) - INF/01 - Strategic Management and Digital Marketing Master's Degree, Bari - 2022/2023

Training Programs for High-School and Undergraduate Students

• Member of the Local Organizing Committee of the University of Bari Aldo Moro for the CyberChallengeIT 2020 initiative aimed at the Cyber Security Training (March - May) of a Team of 20 Students, aged between 16 and 23, who will compete in the National Challenge
• Basics of Java programming at ITS Apulia Digital Maker, Foggia, (50 hours) - Developer 4.0 2020 training course
• Big Data & Analytics at ITS Apulia Digital Maker, Foggia, (40 hours) - Industry 4.0 Expert 2019 training course

Projects

Research Projects and Contracts

• INTEGRE Interoperable Green Train
  Oct 2024 – Jan 2026 Scientific Lead
  AI system for detecting ground fractures and landslide-related risk using heterogeneous remote sensing data.
• FAIR Future Artificial Intelligence Research
  Jan 2024 – Dec 2025 Spoke 6: Symbiotic AI
  Research activities on Symbiotic AI within the FAIR project.
• REFIN Research for Innovation
  Dec 2020 – Dec 2023 PI
  Methods for optimizing renewable energy distribution networks, forecasting and anomaly detection with geo-distributed sensor data.
• IMPETUS Intelligent Management of Processes, Ethics and Technology for Urban Safety
  Sep 2020 – Feb 2023 Researcher (WP1 WP3 WP4 WP7)
  Urban safety analytics: scalable anomaly detection on pedestrian and traffic flows, including explainability support for operators.
• RIPARTI
  Oct 2022 PI
  Research project on AI for renewable energy systems (regional program, POC Puglia).
• ComESto Community Energy Storage
  Dec 2019 – Dec 2020 Research Fellow
  Predictive methods for energy consumption forecasting in smart grids (community energy storage context).
• TALIsMan Tecnologie di Assistenza personALizzata per il Miglioramento della quAlità della vitA
  2019 – 2020 Researcher
  Transfer learning for satellite image classification and pattern-based change detection.
• MAESTRA Learning from Massive, Incompletely annotated, and Structured Data
  2017 – 2020 Researcher
  Learning from massive and partially-labeled structured data; transfer learning and positive-unlabeled settings with applications in bioinformatics.

Software

• Machine learning for the prioritization of Dyson sphere candidates
• STEAL Source TargEt ALignment
• Distributed and Explainable GHSOM for Anomaly Detection in Sensor Networks
• Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction
• BioSfer Biological tranSfer learning

Datasets

• Human and mouse gene regulatory networks description biological
• Stroke and Sepsis description medical
• Dynamic Signature Analysis in Forensic Settings forensic