Roberto Corizzo - American University

Roberto Corizzo conducts research on big data analytics and machine learning. His research addresses analytical tasks such as sensor data forecasting, time series classification, predictive modeling, and feature extraction tailored to real-world applications in fields such as energy, cybersecurity, astrophysics, and social networks.

Don Myers Technology & Innovation Building, 3501 Nebraska Avenue NW, Washington, DC 20016, United States

[email protected]

Education

Ph.D. in Computer Science, University of Bari, Italy, 2018.

M.Sc. in Computer Science, University of Bari, Italy, 2012.

B.Sc. in Computer Science, University of Bari, Italy, 2010.

Research

Graduate, summer, and visiting research positions are available in the areas of big data analytics and machine learning. Please reach me by email at [email protected].

Publications

For an updated list of publications please visit Scholar, DBLP or Scopus websites.

Teaching

Fall 2025 - Big Data Computing and Machine Learning - CSC-483/683 (American University, USA)
Fall 2025 - Intro to Computer Science II - CSC-208 (American University, USA)
Spring 2025 - Introduction to Data Mining - CSC-480/680 (American University, USA)
Spring 2025 - Intro to Computer Science II - CSC-208 (American University, USA)
Fall 2024 - Big Data Computing and Machine Learning - CSC-483/683 (American University, USA)
Fall 2024 - Intro to Computer Science II - CSC-208 (American University, USA)
Spring 2024 - Introduction to Data Mining - CSC-480/680 (American University, USA)
Spring 2024 - Intro to Computer Science II - CSC-208 (American University, USA)
Fall 2023 - Introduction to Data Mining - CSC-480/680 (American University, USA)
Fall 2023 - Big Data Computing and Machine Learning - CSC-483/683 (American University, USA)
Fall 2022 - Introduction to Data Mining - CSC-480/680 (American University, USA)
Fall 2022 - High-Performance Computing - CSC-496/696 (American University, USA)
Summer 2022 - SPIRAL/SPATIAL REU (Ampere Project) (American University, USA)
Summer 2022 - Predictive Analysis of Evolving Large-Scale Data - Ph.D. in Computer Science (University of Bari, Italy)
Spring 2022 - Intro to Computer Science II - CSC-208 (American University, USA)
Fall 2021 - High-Performance Computing - CSC-496/696 (American University, USA)
Spring 2021 - Intro to Computer Science II - CSC-208 (American University, USA)
Fall 2018 - Secure Systems Development - M.Sc. in Computer Security (University of Bari, Italy)
Fall 2017 - Advanced Databases Concepts - M.Sc. in Computer Science (University of New York Tirana, Albania)

Professional service

Editorial Board Member

Springer Journal of Big Data
Frontiers in Big Data journal (Data Science section). ISSN: 2624-909X.

Organizing Committee

Organizer of the "OWAD: Open World Anomaly Detection in Dynamic and Evolving Environments" OWAD workshop at the IEEE Conference on Data Mining (ICDM 2025), Washington DC
Thematic Area Curator at the 17th Conference on Computer Science and Intelligence Systems (FedCSIS 2025) - AAIA Track, Krakow (Poland)
Local Organizing Committee at 2024 IEEE Digital Platforms and Societal Harms, October 14-15, 2024, Washington DC, US
Program Chair at the 17th Conference on Computer Science and Intelligence Systems (FedCSIS 2022) - AAIA Track, Sofia (Bulgaria)
Organizer of the "4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data" DLP-KDD workshop at the SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC
Organizer of the "S2D-OLAD: From shallow to deep, overcoming limited and adverse data" workshop at the International Conference on Learning Representations (ICLR 2021), Online
Organizing Committee of the “Gravitational Waves Data Challenge” at the “Data Science School in (Astro)Particle Physics and Cosmology”, Braga (Portugal), 25-27th March 2019
Organizer of the "Multi-Plant Photovoltaic Energy Forecasting Discovery Challenge" at the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2017), Skopje (Macedonia)
Local Organizing Committee at the 16th Italian Research Conference on Digital Libraries (IRCDL 2020), Bari (Italy)
Local Arrangement Chair at the International Conference on Discovery Science (DS 2016), Bari (Italy)

Guest Editor

Special Issue "Geo-Distributed Big Data Analytics in Sensor Networks", Sensors journal, ISSN: 1424-8220.

Reviewer for Journals and Conferences

Program Committee in International Conferences, including IJCAI, SDM, ECML/PKDD
Expert Systems with Applications. ISSN 0957-4174.
IEEE Access. ISSN 2169-3536.
IEEE Transactions on Industrial Informatics. ISSN 1551-3203.
IEEE Transactions on Neural Networks and Learning Systems. ISSN: 2162-2388, 2162-237X.
IEEE Intelligent Systems. ISSN: 1941-1294, 1541-1672.
Machine Learning. ISSN: 0885-6125.
Knowledge and Information Systems. ISSN 0219-3116.
Data Mining and Knowledge Discovery. ISSN: 1384-5810.
Software: Practice and Experience. ISSN: 1097-024X
Journal of Big Data. ISSN: 2196-1115.
Journal of Intelligent Information Systems. ISSN: 1573-7675, 0925-9902.
ISA Transactions. ISSN: 0019-0578.
International Journal of Distributed Sensor Networks, ISSN: 1550-1329.
Big Data and Cognitive Computing. ISSN: 2504-2289.
Digital Finance. ISSN: 2524-6186.
Future Generation Computer Systems. ISSN: 0167-739X.
Medical & Biological Engineering & Computing. ISSN: 1741-0444.
Remote Sensing, ISSN: 2072-4292
Energies. ISSN 1996-1073
Sensors. ISSN: 1424-8220
Algorithms. ISSN: 1999-4893.