Home Page of Giancarlo Sperlì

About

Giancarlo Sperlì is a Associate Professor at the University of Naples Federico II, where he is a member of the Pattern analysis, Intelligent Computation and mUltimedia Systems (PICUS) research group of the Department of Electrical Engineering and Information Technology (DIETI). Furthermore, he collaborates actively as researcher with Consorzio Interuniversitario Nazionale per l'Informatica (CINI). In particular, he hold a Bachelor’s and Master’s Degree in Computer Science and Engineering, both from the University of Naples Federico II and in 2018 he received the Ph.D degree in Information Technology and Electrical Engineering of University of Naples Federico II.
He served as guest editor of three Special Issues on International Journals (Elsevier Computers & Security on “Anomaly Detection in Cyber-Physical Systems”, MDPI Future Internet on “Intelligent Innovations in Multimedia Data” and MDPI Big Data and Cognitive Computing "Graph-Based Data Mining and Social Network Analysis"), an international conference special session ("Anomaly Detection" in Cyber Physical Systems in 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering) and three workshops hosted in international conferences (1st International Workshop on Election Infrastructure Security (EIS 2022) in conjunction with the 27th European Symposium on Research in Computer Security (ESORICS 2022), The 2nd International Workshop on Social Media Networks Analytics and Applications (SMA2) in 2018 IEEE International Conference on Information Reuse and Integration (IRI) and “1st International Workshop on eHealth in the Big Data and Deep Learning Era” workshop in 20th International Conference on Image Analysis and Processing (ICIAP2019)).

Associate Professor.

City: Naples, Italy

Website: link
Email: giancarlo.sperli@unina.it

My current research interests lie in the area of multimedia, knowledge management, Big Data analytics and cyber-security. In particular, main research are focused on:

Big Data Analytics;

Influence Analysis in Multimedia Social Networks;

Community detection in Multimedia Social Networks;

eXplainable Artificial Intelligence;

Predictive Maintenance;

Deception Analysis.

Resume

The main personal educational and work experiences are detailed below.

Summary

Giancarlo Sperlì

Associate Professor @ University of Naples Federico II.

Via Claudio 21, 80125, Naples, Italy
giancarlo.sperli@unina.it

Education

PhD in Information Technology and Electrical Engineering

2018

University of Naples Federico II

Thesis: Multimedia Social Network.

Master Degree of Computer Engineering

2009 - 2012

University of Naples Federico II

Thesis: Recognizing Unexplained Behavior in Network Intrusions.

Bachelor Degree of Computer Engineering

2005 - 2009

University of Naples Federico II

Thesis: Development of a framework for the management and monitoring of environments.

Professional Experience

Associate Professor

2024 - now

University of Naples Federico II, Italy, IT

Research activity about Big Data Architecture and Analytics and Artificial Intelligence models for supporting several industrial and real-world applications.

Assistant Professor (RTD-B)

2021 - 2024

University of Naples Federico II, Italy, IT

Research activity about Big Data Architecture and Analytics and Artificial Intelligence models for supporting several industrial and real-world applications.

Research fellow

2019 - 2020

University of Naples Federico II, Italy, IT

Analysis and design of Big Data techniques and Data Mining models to deal with Cyberbullying problem.

Senior Researcher

2018 - 2019

Consorzio Interuniversitario Nazionale per l'Informatica (CINI), Italy, IT

Analysis and design of Big Data techniques and Data Mining models to support e-health applications.

Research Assistant

2016 - 2016

University of Maryland, Maryland, MD, USA

Research activities on cyber-security topics, focusing in particular on cyber-deception.

IT Architect

2012 - 2014

Accenture S.P.A., Italy, IT

Design and delivery of storage and backup scalable solutions, with a focus on virtualization solutions.
Delivery of IT transformation programs (such as Network Function Virtualization Infrastructure (NFVI) or Datacenter Consolidation) or initiatives to align IT infrastructure costs to the information business value by means of storage efficiency techniques and ILM solutions.
Technical feasibility analysis (POC) of solutions in the field of Data Management.
Scouting of main market trends and technological solutions for the different components of the IT infrastructure to identify the most appropriate technological solution.

Publications

Giancarlo Sperlì has published 129 journal papers, conference proceedings and book chapters, whose lastest publications are listed below:

Romano, S. P., Sperlì, G., & Vignali, A. (2024). An NLP-based approach to assessing a company’s maturity level in the digital era. Expert Systems with Applications, 252, 124292, doi: https://doi.org/10.1016/j.eswa.2024.124292.

Ricchiuti, F., & Sperlí, G. (2025). An Advisor Neural Network framework using LSTM-based Informative Stock Analysis. Expert Systems with Applications, 259, 125299, doi: https://doi.org/10.1016/j.eswa.2024.125299.

Grasso, B., La Gatta, V., Moscato, V., & Sperlì, G. (2024). KERMIT: Knowledge-EmpoweRed Model In harmful meme deTection. Information Fusion, 106, 102269, doi: https://doi.org/10.1016/j.inffus.2024.102269.

La Gatta, V., Moscato, V., Postiglione, M., & Sperlì, G. (2024). An eXplainable Artificial Intelligence Methodology on Big Data Architecture. Cognitive Computation, 1-18, doi: https://doi.org/10.1007/s12559-024-10272-6.

Galli, A., La Gatta, V., Moscato, V., Postiglione, M., & Sperlì, G. (2024). Explainability in AI-based Behavioral Malware Detection Systems. Computers & Security, 103842, doi: https://doi.org/10.1016/j.cose.2024.103842.

Carandente, V., & Sperlí, G. (2024). Harnessing Cognitively Inspired Predictive Models to Improve Investment Decision-Making. Cognitive Computation, 1-16, doi: https://doi.org/10.1007/s12559-023-10240-6.

Canonico, R., & Sperlì, G. (2023). Industrial cyber-physical systems protection: A methodological review. Computers & Security, 135, 103531, doi: 10.1016/j.cose.2023.103531.

Chakraborty, T., La Gatta, V., Moscato, V., & Sperlì, G. (2023). Information retrieval algorithms and neural ranking models to detect previously fact-checked information. Neurocomputing, 557, 126680, doi: 10.1016/j.neucom.2023.126680.

Moscato, V., Postiglione, M., & Sperlí, G. (2023). Few-shot Named Entity Recognition: definition, taxonomy and research directions. ACM Transactions on Intelligent Systems and Technology, 14(5), 1-46, doi: 10.1145/3609483.

Bartolini, I., Moscato, V., Postiglione, M., Sperlì, G., & Vignali, A. (2023). Data augmentation via context similarity: An application to biomedical Named Entity Recognition. Information Systems, 119, 102291, doi: 10.1016/j.is.2023.102291.

Galli, A., Moscato, V., Romano, S. P., & Sperlì "Playing With a Multi Armed Bandit to Optimize Resource Allocation in Satellite-Enabled 5G Networks," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2023.3302064.

Esposito, C., Moscato, V., & Sperlì, G., "Detecting malicious reviews and users affecting social reviewing systems: A survey", Computer & Security 2023, 103407, doi:https://doi.org/10.1016/j.cose.2023.103407

La Gatta, V., Moscato, V., Postiglione, M., & Sperlı, G. Covid-19 sentiment analysis based on Tweets. IEEE Intelligent Systems, 37, 3, doi: https://doi.org/10.1109/MIS.2023.3239180.

Moscato, V., Postiglione, M., Sansone, C., & Sperli, G. (2023). TaughtNet: Learning Multi-Task Biomedical Named Entity Recognition From Single-Task Teachers. IEEE Journal of Biomedical and Health Informatics, doi:http://doi.org/10.1109/JBHI.2023.3244044

De Luca, M., Fasolino, A. R., Ferraro, A., Moscato, V., Sperlì, G., Tramontana, P. "A community detection approach based on network representation learning for repository mining" Expert Systems with Applications, 120597, doi: https://doi.org/10.1016/j.eswa.2023.120597.

De Luca, R., Ferraro, A., Galli, A., Gallo, M., Moscato, V., & Sperlì, G. (2023). A deep attention based approach for predictive maintenance applications in IoT scenarios. Journal of Manufacturing Technology Management, doi: https://doi.org/10.1108/JMTM-02-2022-0093

De Santo, A., Ferraro, A., Moscato, V., & Sperlí, G. (2023). An action–reaction influence model relying on OSN user-generated content. Knowledge and Information Systems, 1-30, doi: https://doi.org/10.1007/s10115-023-01833-6

Ferraro, A., Galli, A., Moscato, V., & Sperlì, G. (2022). Evaluating eXplainable artificial intelligence tools for hard disk drive predictive maintenance. Artificial Intelligence Review, 1-36, https://doi.org/10.1007/s10462-022-10354-7

D'Auria, D., Moscato, V., Postiglione, M., Romito, G., & Sperlí, G. (2022). Improving graph embeddings via entity linking: a case study on Italian clinical notes. Intelligent Systems with Applications, 200161,https://doi.org/10.1016/j.iswa.2022.200161

Barducci, A. , Iannaccone, S., La Gatta, V., Moscato, V., Sperlì, G., & Zavota, S. (2022). An end-to-end framework for information extraction from Italian resumes. Expert Systems with Applications, 118487, https://doi.org/10.1016/j.eswa.2022.118487

De Santo, A., Ferraro, A., Galli, A., Moscato, V., & Sperlì, G. (2022). Evaluating time series encoding techniques for Predictive Maintenance. Expert Systems with Applications, 118435, https://doi.org/10.1016/j.eswa.2022.118435

Di Fiore, E., Ferraro, A., Galli, A., Moscato, V., & Sperlì, G. (2022). An anomalous sound detection methodology for predictive maintenance. Expert Systems with Applications, 118324, https://doi.org/10.1016/j.eswa.2022.118324

Moscato, V., & Sperlì, G. (2022). Community detection over feature-rich information networks: An eHealth case study. Information Systems, https://doi.org/10.1016/j.is.2022.102092

La Gatta, V., Moscato, V., Pennone, M., Postiglione, M., & Sperlí, G. (2022). Music Recommendation via Hypergraph Embedding. IEEE Transactions on Neural Networks and Learning Systems, https://doi.org/10.1109/TNNLS.2022.3146968

Delli Veneri, M., Cavuoti, S., Abbruzzese, R., Brescia, M., Sperlì, G., Moscato, V., & Longo, G. (2022). HyCASTLE: A Hybrid ClAssification System based on Typicality, Labels and Entropy. Knowledge-Based Systems, 108566, https://doi.org/10.1016/j.knosys.2022.108566

Galli, A., Masciari, E., Moscato, V., & Sperlí, G. (2022). A comprehensive Benchmark for fake news detection. Journal of Intelligent Information Systems, 1-25, https://doi.org/10.1007/s10844-021-00646-9

Moscato, V., & Sperlì G., (2022) "A novel influence diffusion model under temporal and content constraints on Business Social Network", Telematics and Informatics, https://doi.org/10.1016/j.tele.2021.101768

Sansone, C., & Sperlì G., (2021) "Legal Information Retrieval Systems: State-of-the-art and open issues", Information Systems, https://doi.org/10.1016/j.is.2021.101967

Esposito C., Galli A., Moscato V., & Sperlì G., (2021) "Multi-criteria assessment of user trust in Social Reviewing Systems with subjective logic fusion", Information Fusion, https://doi.org/10.1016/j.inffus.2021.07.012

De Santo A., Galli A., Moscato V., & Sperlì G., (2021) "A deep learning approach for semi-supervised community detection in Online Social Networks", Knowledge-Based Systems, https://doi.org/10.1016/j.knosys.2021.107345

La Gatta V., Moscato V., Postiglione M., & Sperlì G., (2021) "CASTLE: Cluster-aided space transformation for local explanations", Expert Systems With Applications, https://doi.org/10.1016/j.eswa.2021.115045

La Gatta V., Moscato V., Postiglione M., & Sperlì G., (2021) "PASTLE: Pivot-aided space transformation for local explanations", Pattern Recognition Letters, https://doi.org/10.1016/j.patrec.2021.05.018

Moscato V., & Sperlì G. (2021) "A survey about community detection over On-line Social and Heterogeneous Information Networks", Knowledge-Based Systems, https://doi.org/10.1016/j.knosys.2021.107112

Han Q., Molinaro C., Picariello A., Sperlì G., Subrahmanian V.S., & Xiong Y. (2021) "Generating Fake Documents using Probabilistic Logic Graphs", IEEE Transactions on Dependable and Secure Computing, https://doi.org/10.1109/TDSC.2021.3058994

Esposito, C., Moscato, V., & Sperlì, G., (2021) "Trustworthiness Assessment of Users in Social Reviewing Systems", IEEE Transactions on Systems, Man, and Cybernetics: Systems, https://doi.org/10.1109/TSMC.2020.3049082

Cinque, M., Della Corte, R., Moscato, V. & Sperlì G., (2021) “A Graph-based approach to detect Unexplained Sequences in a Log”, Expert Systems with Applications, doi: https://doi.org/10.1016/j.eswa.2020.114556

Moscato, V., Picariello, A., & Sperlí, G., (2021) "A benchmark of machine learning approaches for credit score prediction", Expert Systems with Applications, Volume 165, 2021, 113986, ISSN 0957-4174, doi: https://doi.org/10.1016/j.eswa.2020.113986

De Santo, A., Galli, A., Gravina, M., Moscato, V., & Sperli, G., (2020) "Deep Learning for HDD health assessment: an application based on LSTM" in IEEE Transactions on Computers. doi: https://doi.ieeecomputersociety.org/10.1109/TC.2020.3042053

La Gatta, V., Moscato, V., Postiglione M., & Sperli, G., (2020) "An Epidemiological Neural network exploiting Dynamic Graph Structured Data applied to the COVID-19 outbreak", in IEEE Transactions on Big Data, doi: https://doi.org/10.1109/TBDATA.2020.3032755

Moscato, V., Picariello, A., & Sperli, G., (2020) "An emotional recommender system for music", in IEEE Intelligent Systems, doi: https://doi.org/10.1109/MIS.2020.3026000

Di Girolamo, R., Esposito, C., Moscato, V., & Sperlí, G., (2020) "Evolutionary game theoretical on-line event detection over tweet streams", Knowledge-Based Systems, Volume 211, 2021, 106563, ISSN 0950-7051, doi: https://doi.org/10.1016/j.knosys.2020.106563

Ianni, M., Masciari, E. & Sperlí, G., (2020) A survey of Big Data dimensions vs Social Networks analysis. J Intell Inf Syst (2020), doi: https://doi.org/10.1007/s10844-020-00629-2

Su, X., Sperlì, G. Moscato, V., Picariello, A., Esposito, C. & Choi, C., (2019) "An Edge Intelligence Empowered Recommender System Enabling Cultural Heritage Applications," in IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 4266-4275, July 2019, doi: https://doi.org/10.1109/tii.2019.2908056

Chakraborty, T., Jajodia, S., Katz, J., Picariello, A., Sperli, G., & Subrahmanian, V. S., (2019). FORGE: A Fake Online Repository Generation Engine for Cyber Deception. IEEE Transactions on Dependable and Secure Computing, doi: https://doi.org/10.1109/tdsc.2019.2898661

Mercorio, F., Mezzanzanica, M., Moscato, V., Picariello, A., & Sperli, G., (2019) "DICO: A Graph-DB Framework for Community Detection on Big Scholarly Data", in IEEE Transactions on Emerging Topics in Computing, doi: https://doi.org/10.1109/TETC.2019.2952765

Petrillo, A., Picariello, A., Santini, S., Scarciello, B., & Sperlí, G., (2019) “Model-based vehicular prognostics framework using Big Data architecture” Computers in Industry, Volume 115, 2020, 103177, ISSN 0166-3615, doi: https://doi.org/10.1016/j.compind.2019.103177

Moscato, V., Picariello, A., & Sperlí, G., (2019) "Community detection based on Game Theory", Engineering Applications of Artificial Intelligence, Volume 85, 2019, Pages 773-782, ISSN 0952-1976, doi: https://doi.org/10.1016/j.engappai.2019.08.003

Persico, V., Pescapé, A., Picariello, A., & Sperlí, G., (2018). Benchmarking big data architectures for social networks data processing using public cloud platforms. Future Generation Computer Systems, 89, 98–109, doi: https://doi.org/10.1016/j.future.2018.05.068

Amato, F., Castiglione, A., De Santo, A., Moscato, V., Picariello, A., Persia, F., & Sperlí, G., (2018). Recognizing human behaviours in online social networks. Computers & Security, 74, 355–370, doi: https://doi.org/10.1016/j.cose.2017.06.002

Teaching

The main teaching activities are detailed below.

University course

Elementi di Intelligenza Artificiale

2024-2025

Bachelor degree in Computer Engineering

University of Naples Federico II

Corso Nicolangelo Protopisani,70,80146,Naples,Italy.

Hardware and Software for Big Data mod. A

2024-2025

Master Degree in Data Science

University of Naples Federico II

Via Claudio 21,80125,Naples,Italy.

Bioinformatica

2024-2025

Degree in Medicina e Chirurgia ad indirizzo Tecnologico

University of Naples Federico II

Via Pansini, 5, 80131,Naples,Italy.

Applicazioni di Bioinformatica

2024-2025

Degree in Medicina e Chirurgia ad indirizzo Tecnologico

University of Naples Federico II

Via Pansini, 5, 80131,Naples,Italy.

Machine Learning for Health Data Analysis

2024-2025

Degree in Medicina e Chirurgia ad indirizzo Tecnologico

University of Naples Federico II

Via Pansini, 5, 80131,Naples,Italy.

Sistemi informativi per la telemedicina

2024-2025

Degree in Medicina e Chirurgia ad indirizzo Tecnologico

University of Naples Federico II

Via Pansini, 5, 80131,Naples,Italy.

Elementi di Intelligenza Artificiale

2023-2024

Bachelor degree in Computer Engineering

University of Naples Federico II

Corso Nicolangelo Protopisani,70,80146,Naples,Italy.

Machine Learning and Big Data

2023-2024

Master degree in Autonomous Vehicle Engineering

University of Naples Federico II

Corso Nicolangelo Protopisani,70,80146,Naples,Italy.

Hardware and Software for Big Data mod. A

2023-2024

Master Degree in Data Science

University of Naples Federico II

Via Claudio 21,80125,Naples,Italy.

Bioinformatica

2023-2024

Degree in Medicina e Chirurgia ad indirizzo Tecnologico

University of Naples Federico II

Via Pansini, 5, 80131,Naples,Italy.

Applicazioni di Bioinformatica

2023-2024

Degree in Medicina e Chirurgia ad indirizzo Tecnologico

University of Naples Federico II

Via Pansini, 5, 80131,Naples,Italy.

Machine Learning for Health Data Analysis

2023-2024

Degree in Medicina e Chirurgia ad indirizzo Tecnologico

University of Naples Federico II

Via Pansini, 5, 80131,Naples,Italy.

Sistemi informativi per la telemedicina

2023-2024

Degree in Medicina e Chirurgia ad indirizzo Tecnologico

University of Naples Federico II

Via Pansini, 5, 80131,Naples,Italy.

Machine Learning for Engineering

2022-2023

Master Degree in Ingegneria Meccanica per la progettazione e la produzione

University of Naples Federico II

Via Claudio 21,80125,Naples,Italy.

Computer Science Laboratory

2022-2023

Bachelor degree in Hospitality Management

University of Naples Federico II

Via Vicinale Cupa Cintia,26,80126,Naples,Italy.

Machine Learning and Big Data

2022-2023

Master degree in Autonomous Vehicle Engineering

University of Naples Federico II

Corso Nicolangelo Protopisani,70,80146,Naples,Italy.

Electronic Calculators I

2022-2023

Bachelor degree in Computer Engineering

University of Naples Federico II

Corso Nicolangelo Protopisani,70,80146,Naples,Italy.

Machine Learning for Health Data Analysis

2022-2023

Degree in Medicina e Chirurgia ad indirizzo Tecnologico

University of Naples Federico II

Via Pansini, 5, 80131,Naples,Italy.

Sistemi informativi per la telemedicina

2022-2023

Degree in Medicina e Chirurgia ad indirizzo Tecnologico

University of Naples Federico II

Via Pansini, 5, 80131,Naples,Italy.

Big Data Engineering

2021-2022

Master degree in Computer Engineering

University of Naples Federico II

Via Claudio, 21, 80125, Naples, Italy.

Electronic Calculators I

2021-2022

Bachelor degree in Computer Engineering

University of Naples Federico II

Corso Nicolangelo Protopisani,70,80146,Naples,Italy.

Big Data Analytics and Business Intelligence

2020-2021

Master degree in Computer Engineering

University of Naples Federico II

Via Claudio, 21, 80125, Naples, Italy.

Informatica per l'edilizia

2019-2020

Bachelor degree in Tecniche per l’Edilizia, il Territorio e l’Ambiente

University of Campania "Luigi Vanvitelli"

Viale Abramo Lincoln, 5, 81100 Caserta, Italy.

Information Systems

2018-2019

Master degree in Ingegneria Gestionale

2024 - 12h

Scuola Nazionale dell'Amministrazione

CVia dei Robilant, 11, 00135 Roma, Italy.

Big Data Architecture in healthcare

18/07/2024 - 3h

Assinter Accademy

University of Naples Federico II

Corso Nicolangelo Protopisani, 70, 80146 Naples, Italy.

Big Data Architecture in healthcare

18/07/2024 - 3h

Assinter Accademy

University of Naples Federico II

Corso Nicolangelo Protopisani, 70, 80146 Naples, Italy.

Data-driven approaches in healthcare

9/11/2023 - 2h

Assinter Accademy

University of Naples Federico II

Corso Nicolangelo Protopisani, 70, 80146 Naples, Italy.

Information System in Cloud

1/08/2023 - 3h

PIDMed

University of Naples Federico II

Corso Nicolangelo Protopisani, 70, 80146 Naples, Italy.

Big Data Architecture and Analytics in healthcare

10,23,24/06/2022 - 24h

Assinter Accademy

University of Naples Federico II

Corso Nicolangelo Protopisani, 70, 80146 Naples, Italy.

Database system

2018

Accademy “Ferrovie dello Stato” (FSAccademy)

University of Naples Federico II

Corso Nicolangelo Protopisani, 70, 80146 Naples, Italy.

Fundamentals of Multimedia Social Networks and Cyber Security

2018

Course "Le tecnologie ICT al servizio della PA"

University of Naples Federico II

Complesso Universitario di Monte Sant'Angelo Via Cintia, 21 80126 Naples, Italy.

Editoring

The main editoring activities are detailed below.

Journal Editor

Transactions on Neural Networks and Learning Systems

IEEE

Associate Editor: Giancarlo Sperlì

Expert Systems with Applications

Elsevier

Associate Editor: Giancarlo Sperlì

Helyion

Elsevier

Associate Editor: Giancarlo Sperlì

Computer Science

PeerJ

Associate Editor: Giancarlo Sperlì

Journal Special Issue

Anomaly Detection in Cyber-Physical Systems

Elsevier Computers & Security (COSE)

Guest Editors: Massimiliano Albanese, Vincenzo Moscato, Giancarlo Sperlì

Intelligent Innovations in Multimedia Data

MDPI Future Internet

Guest Editors: Stefano Marrone, Vincenzo Moscato, Giancarlo Sperlì

Graph-Based Data Mining and Social Network Analysis

MDPI Big Data and Cognitive Computing

Guest Editors: Vincenzo Moscato, Giancarlo Sperlì

Advances in Trusted Framework for Optimizing Privacy and Authentication in Online Social Network Security

Hindawi Security and Communication Networks

Guest Editors: Bogdan Ghita, N. Jeyanthi, Giancarlo Sperlì

Conference Area Chair

The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)

NLP Applications Track

Senior Area Chair: Giancarlo Sperlì

Conference Program Chairs

13th International Conference on Model and Data Engineering (MEDI2024)

MEDI2024

Program Chair: Giancarlo Sperlì

Artificial Intelligence for Financial Domain(AFID)

The 40th ACM/SIGAPP Symposium on Applied Computing

Program Chair: Giancarlo Sperlì

Conference Special Session

Anomaly Detection in Cyber Physical Systems

2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering

Chairs: Massimiliano Albanese, Vincenzo Moscato, Giancarlo Sperlì

Workshop

3nd International Workshop on Social Media Networks Analytics and Applications (SMA2)

27th European Conference on Advances in Databases and Information Systems (ADBIS 2023)

Chairs: Vincenzo Moscato, Giancarlo Sperlì, Fabio Persia and Anton Dignos.

1st International Workshop on Election Infrastructure Security (EIS 2022)

27th European Symposium on Research in Computer Security (ESORICS 2022)

Chairs: Massimiliano Albanese, Vincenzo Moscato, Giancarlo Sperlì

1st International Workshop on eHealth in the Big Data and Deep Learning Era (e-BADLE)

20th International Conference on Image Analysis and Processing (ICIAP2019)

Chairs: Tanmoy Chakraborty, Stefano Marrone and Giancarlo Sperlì

2nd International Workshop on Social Media Networks Analytics and Applications (SMA2)

2018 IEEE International Conference on Information Reuse and Integration (IRI 2018)

Chairs: Vincenzo Moscato and Giancarlo Sperlì

Hackaton

University Trend Hackaton

University of Naples Federico II

Organizers: KPMG and Giancarlo Sperlì

Program Committee

33rd ACM International Conference on Information and Knowledge Management (CIKM2024).

The 29th International Conference on Natural Language & Information Systems (NLDB 2024).

The 2024 IEEE International Conference on Big Data (IEEE BigData-24).

The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24).

The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24) - Survey Track.

The 1st IEEE International Workshop on Generative, Incremental, Adversarial, Explainable AI/ML in Distributed Computing Systems (AI-DCS 2024).

Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24).

27th International Symposium on Methodologies for Intelligent Systems (ISMIS 2024).

First IEEE International Conference on AI for Medicine, Health, and Care (AIMHC 2024).

The 32nd International Joint Conference on Artificial Intelligence (IJCAI-23).

The 32nd International Joint Conference on Artificial Intelligence (IJCAI-23) - Survey Track.

33rd ACM International Conference on Information and Knowledge Management (CIKM2023).

7th IEEE International Conference on Agents (IEEE ICA 2023).

32nd ACM International Conference on Information and Knowledge Management (CIKM2023).

31st ACM International Conference on Information and Knowledge Management (CIKM2022) Applied Research Track.

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23).

The 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022) - Survey Track.

30th International Joint Conference on Artificial Intelligence (IJCAI 2021) - Survey Track .

ECML PKDD 2021 Journal Track (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases).

IJCAI-PRICAI 2020 (International Joint Conference on Artificial Intelligence - Pacific Rim International Conference on Artificial Intelligence) Survey Track.

ACM SAC 2020 (The 35th ACM Symposium on Applied Computing) - track SFECS – Sustainability of Fog/Edge Computing Systems.

IEEE EVOSTAR 2020 (The European Event on Bio Inspired Computation).

ACM SAC 2019 (The 34th ACM Symposium on Applied Computing). - track SFECS – Sustainability of Fog/Edge Computing Systems.

IEEE I-SPAN 2019 (The 16th International Symposium on Pervasive Systems, Algorithms and Networks).

IEEE IRI/SMA2 2017 (The 1st International Workshop on Social Media Networks Analytics and Applications).

Awards

Giancarlo Sperlì achieved several awards, whose main information are detailed below:

Runner up award for best paper in IEEE Intelligent Systems for 2021.

1st place for the DisTEMIST task - Subtask DisTEMIST-Entities at the challenge on large-scale biomedical semantic indexing released by BioASQ in 2022.

ASEM-DUO Fellowship Programme released by Ministry of Education of India in 2022 to promote the exchange of professors between India and European countries.

1st ACM Europe Summer School on Data Science and Big Data Fellowship released by ACM in 2017 to attend the 1st ACM Europe Summer School on Data Science.

Contact

At room 3.13

Department of Electrical Engineering and Information Technology (DIETI), Via Claudio, 21 - 80125 - Naples, Italy

Building 3/A, 3° floor, room 3.13.

Location:

Via Claudio 21, 80125, Naples, Campania, Italy

Email:

giancarlo.sperli@unina.it

Call:

(+39) 081 7683849