The main research interests of Angelo Ciaramella are Computational Intelligence, Machine Learning and Data Mining. In particular he is interested in statistical and Machine Learning approaches for Blind Source Separation, Sparse Coding, Compressive Sensing and Dictionary Learning, for signal processing (i.e., audio, images, video, streaming, astrophysical and geological) and feature extraction. Moreover, he has been working on fuzzy and neuro-fuzzy systems for structured and unstructured data. He is interested in developing Fuzzy Decision Support Systems in risk assessment. He also studied and developed new methodologies for pre-processing, clustering, visualization and assessment of biological, air quality and social network data (e.g., twitter). Recently, he is also interested in signal processing by using Deep Learning methodologies in Brain Computer Interfaces.

1. Subcellular Localization of uc.8+ as a Prognostic Biomarker in, Bladder Cancer Tissue, Sara Terreri et al. , Cancers, MDPI, 13, 681, https://doi.org/10.3390/cancers13040681

2. Adaptive One-Class gaussian processes allow accurate prioritization of oncology drug targets, A. de Falco, Z. Dezso, F. Ceccarelli, L. Cerulo, A. Ciaramella, M. Ceccarelli, Bioinformatics, btaa968, https://doi.org/10.1093/bioinformatics/btaa968;

3. Data Integration by Fuzzy Similarity-Based Hierarchical Clustering, A. Ciaramella, D. Nardone, A. Staiano, BMC Bioinformatics, 21, 350 2020, https://doi.org/10.1186/s12859-020-03567-6;

4. Record linkage of banks and municipalities through multiple criteria and neural networks, A. Maratea, A. Ciaramella, G. P. Cianci, PeerJ Computer Science, 6, no. 258, https://doi:10.7717/peerj-cs.258, 2020;

5. Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm, L. H. Son, A. Ciaramella, D. T. Thu, A. Staiano, T. M. Tuan, P. Van Hai, Neural Computing and Applications, https://doi: 10.1007/s00521-020-04876-w, 2020;

6. A Sparse-Modeling Based Approach for Class Specific Feature Selectiovn, D. Nardone, A. Ciaramella, A. Staiano, PeerJ Computer Science, 5:e237, https://doi.org/10.7717/peerj-cs.237, 2019;

7. On the Role of Clustering and Visualization Techniques in Gene Microarray Data, A. Ciaramella, A. Staiano, Algorithms, 12(6), 123, 2019;

8. Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron, E. Chianese, F. Camastra, A. Ciaramella, T. C. Landi, A. Staiano, A. Riccio, Ecological Informatics, 49, pp. 54-61, 2019;

9. Compressive sampling and adaptive dictionary learning for the packet loss recovery in audio multimedia streaming, A. Ciaramella, M. Gianfico, G. Giunta, Multimedia Tools and Applications, 75 (24), pp. 17375-17392, ISSN: 13807501 ,https:// doi: 10.1007/s11042-015-3002-x, 2016;

10. Packet loss recovery in audio multimedia streaming by using compressive sensing, A. Ciaramella, G. Giunta, IET Communications, 10 (4), pp. 387-392, ISSN: 17518628, https://doi: 10.1049/ iet-com.2014.0995, 2016;

11. fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference, F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, Expert Systems with Applications, 42 (3), pp. 1710-1716, ISSN: 09574174, https://doi: 10.1016/j.eswa.2014.09.041, 2015

12. TÉRA: A tool for the environmental risk assessment of genetically modified plants, F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, Ecological Informatics, vol. 24, pp. 186-193, ISSN: 15749541, https://doi: 10.1016/j.ecoinf.2014.09.001, 2014;

13. A note on some mathematical models on the effects of Bt-maize exposure, F. Camastra, A. Ciaramella, A. Staiano, Environmental and Ecological Statistics, pp. 1-9, ISSN: 1352-8505, https://doi: 10.1007/s10651-013-0264-1, 2013;

14. Machine Learning and Soft Computing Methodologies for Music Emotion Recognition, A. Ciaramella, G. Vettigli, Smart Innovation, Systems and Technologies, vol. 19, p. 427-436, ISBN: 978-364235466-3, https://doi: 10.1007/978-3-642-35467-042, 2013;

15. Machine Learning and Soft Computing for ICT Security: an Overview of Current Trends, F. Camastra, A. Ciaramella, A. Staiano, Journal of Ambient Intelligence and Humanized Computing, vol. 4, p. 235-247, ISSN: 1868-5137,https:// doi: 10.1007/s12652-011-0073-z, 2013;

16. Information-Theoretic Approaches for Models Selection in Multi-model Ensemble Atmospheric Dispersion Predictions, A. Riccio, A. Ciaramella, S. Galmarini, E. Solazzo, S. Potempski, NATO Science for Peace and Security Series C: Environmental Security, 137, pp. 535-539, ISSN: 18746519, https://doi:10.1007/978-94-007-5577-2_90, 2013;

17. On the systematic reduction of data complexity in multi-model atmospheric dispersion ensemble modeling, A. Riccio, A. Ciaramella, S. Galmarini, G. Giunta, S. Potempski, E. Solazzo, Journal of Geophysical Research - Atmospheres, vol. 117, ISSN: 0148-0227, https://doi: 10.1029/2011JD016503, 2012;

18. Automatic detection of long-period events at Campi Flegrei Caldera (Italy), A. Ciaramella, E. De Lauro, M. Falanga, S. Petrosino, Geophysical Research Letters, vol. 38, pp. 1-5, ISSN: 0094-8276, https://doi: 10.1029 /2011GL049065, 2011;

19. Modeling and Generating Organ Pipes Self-Sustained Tones by Using ICA, A. Ciaramella, E. De Lauro, S. De Martino, M. Falanga, R. Tagliaferri, Journal of Signal and Information Processing, vol. 02, pp. 141-151, ISSN: 2159-4465, https://doi: 10.4236/jsip.2011.23018, 2011;

20. Interactive data analysis and clustering of genomic data, A. Ciaramella, S. Cocozza, F. Iorio, G. Miele, F. Napolitano, M. Pinelli, G. Raiconi, R. Tagliaferri, Neural Networks, vol. 21, Issues 2-3, pp. 368-378, ISSN: 0893-6080, https://doi: 10.1016/ j.neunet.2007.12.026, 2008;

21. Clustering and visualization approaches for human cell cycle gene expression data analysis, F. Napolitano, G. Raiconi, R. Tagliaferri, A. Ciaramella, A. Staiano, G. Miele, International, Journal of Approximate Reasoning, vol. 47, Issue 1, pp. 70-84, ISSN: 0888-613, https://doi: 10.1016/j.ijar.2007.03.013, 2008;

22. Neural Network Techniques for Proactive Password Checking, A. Ciaramella, P. D’Arco, A. De Santis, C. Galdi, R. Tagliaferri, IEEE Transactions on Dependable and Secure Computing, Volume 3, Issue 4, Oct.-Dec. 2006 Page(s):327 - 339, ISSN: 1545-5971, https://doi:10.1109/TDSC.2006.53, 2006;

23. A Multi-Step Approach to Time Series Analysis and Gene Expression Clustering, R. Amato, A. Ciaramella, N. Deniskina, C. Del Mondo, D. di Bernardo, C. Donalek, G. Longo, G. Mangano, G. Miele, G. Raiconi, A. Staiano, R. Tagliaferri, Bioinformatics, vol. 22, n. 5, pp. 589-596, ISSN: 1367-4803, https://doi:10.1093/bioinformatics/btk026, 2006;

24. Complexity of Time Series Associated to Dynamical Systems Inferred from Independent Component Analysis, A. Ciaramella, E. de Lauro, S. De Martino, M. Falanga, R. Tagliaferri, Physical Review E., 72, 046712-1/14, ISSN: 1539-3755, https://doi: 10.1103/Phys-RevE.72.046712, 2005;

25. Separation of Convolved Mixtures in Frequency Domain ICA , A. Ciaramella, M. Funaro, R. Tagliaferri, International Mathematical Forum, vol. 1, no. 16, pp. 769-795, ISSN: 1312-7594, https://doi: 10.12988/imf, 2006;

26. Novel Techniques for Microarry Data Analysis , A. Ciaramella, R. Amato, A. Staiano, R. Tagliaferri, et al., Journal of Theoretical and Computational Nanoscience, vol. 2, n. 4, pp. 514-523, ISSN: 1546-1955, https://doi: http://dx.doi.org/ 10.1166/ jctn.2005.006, 2005;

27. Fuzzy Relational Neural Network , A. Ciaramella, R. Tagliaferri, W. Pedrycz, A. Di Nola, International Journal of Approximate Reasoning, vol. 41, pp. 146-163, ISSN: 0888-613, https://doi: 10.1016/j.ijar.2005.06.016, 2006;

28. ICA Based Identification of Dynamical Systems Generating Synthetic and Real World Time Series , A. Ciaramella, E. De Lauro, S. De Martino, M. Falanga, R. Tagliaferri, Soft Computing, vol. 10, pp. 587-606, ISSN: 1432-7643, https://doi: 10.1007/s00500-005-0515-7, 2006;

29. Applications of Neural Networks in Astronomy and Astroparticle Physics , A. Ciaramella, E. Donalek, A. Staiano, et al., Recent Res. Devel. Astrophys., vol. 2, pp. 27-58, ISBN:9788177362954, 2005;

30. The Genetic Development of Ordinal Sums , A. Ciaramella, W. Pedrycz, R. Tagliaferri, Fuzzy Sets and Systems, vol. 151, pp. 303-325, https://doi: 10.1016/j.fss.2004.07.003, ISSN: 0165- 0114, 2005;

31. Characterization of Strombolian Events by Using Independent Component Analysis , A. Ciaramella, E. De Lauro, S. De Martino, B. Di Lieto, M. Falanga, R. Tagliaferri, Nonlinear Processes in Geophysics, vol. 11, pp. 453-461, ISSN: 1023-5809, 2004;

32. A Multifrequency Analysis of Radio Variability of Blazars , A. Ciaramella, C. Bongardo, H. D. Aller, M. F. Aller, G. De Zotti, A. Lähteenmaki, G. Longo, L. Milano, R. Tagliaferri, H. Teräsranta, M. Tornikoski, S. Urpo, Astronomy & Astrophysics Journal, vol. 419, pp. 485-500, ISSN: 0004-6361, https://doi: 10.1051/0004-6361:20035771, 2004;

33. Polarisation analysis of the independent components of low frequency events at Stromboli volcano (Eolian Islands, Italy) , F. Acernese , A. Ciaramella, S. De Martino, M. Falanga, C. Godano, R. Tagliaferri, Journal of Volcanology and Geothermal Research, Elsevier Journals, n. 137, pp. 153-168, ISSN: 0377-0273, https://doi:10.1016/j.jvolgeores.2004.05.005, 2004;

34. Neural Networks in Astronomy , R. Tagliaferri, G. Longo, L. Milano, F. Acernese, F. Barone, A. Ciaramella, R. De Rosa, C. Donalek, A. Eleuteri, G. Raiconi, S. Sessa, A. Staiano, A. Volpicelli, Neural Networks, vol. 16, N. 3-4, pp. 295-319, 2003, ISSN: 0893-6080, https://doi: 10.1016/S0893-6080(03)00028-5, 2003;

35. Neural Networks for Blind-Source Separation of Stromboli Explosion Quakes , F. Acernese, A. Ciaramella, S. De Martino, R. De Rosa, M. Falanga, R. Tagliaferri, IEEE Transactions on Neural Networks, vol. 14, Issue: 1, pp. 167-175, ISSN: 1045-9227, https://doi: 10.1109/TNN.2002.806649, 2003;

36. Soft Computing Methodologies for Spectral Analysis in Cyclostratigraphy , R. Tagliaferri, N. Pelosi, A. Ciaramella, G. Longo, M. Milano, F. Barone, Computers and Geosciences, vol. 27, issue 5, pp. 535-548, ISSN: 0098-3004, https://doi: 10.1016/S0098-3004(00)00166-7, 2001;

37. Spectral Analysis of Stellar Light Curves by Means of Neural Networks , R. Tagliaferri, A. Ciaramella, L. Milano, F. Barone, G. Longo, Astronomy and Astrophysics Supplement Series, vol. 137, pp. 391-405, ISSN: 0004-6361, 1999;

1. Audio content-based framework for emotional music recognition, A. Ciaramella, D. Nardone, A. Staiano, G. Vettigli, Intelligent Systems Reference Library, 189, pp. 277-292, 2020;

2. Spam Detection by Machine Learning-Based Content Analysis, D. Davino, F. Camastra, A. Ciaramella, A. Staiano, Smart Innovation, Systems and Technologies, 184, pp. 415-422, 2020;

3. Non-linear PCA Neural Network for EEG Noise Reduction in Brain-Computer Interface, A. Cimmino, A. Ciaramella, G. Dezio, P. J. Salma, Smart Innovation, Systems and Technologies, 184, pp. 405-413, 2020;

4. A neuro-fuzzy based approach for resting-state detection using a consumer-grade EEG, A. Ciaramella, P. Salma, IEEE International Conference on Fuzzy Systems, 2020-July, art. no. 9177821, 2020;

5. Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values, A. Ciaramella, D. Nardone, A. Staiano, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11925 LNBI, pp. 3-10, 2020;

6. Semantic Maps for Knowledge Management of Web and Social Information, F. Camastra, A. Ciaramella, A. Maratea, L.H. Son, A. Staiano, Studies in Computational Intelligence, 837, pp. 39-51, 2020;

7. Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario, A. Ciaramella, D. Nardone, A. Staiano, In: Esposito A., Faundez-Zanuy M., Morabito F., Pasero E. (eds), Neural Approaches to Dynamics of Signal Exchanges. Smart Innovation, Systems and Technologies, vol 151, pp. 119-131, Springer, 2020;

8. StormSeeker: A machine-learning-based mediterranean storm tracer, R. Montella, D. Di Luccio, A. Ciaramella, I. Foster, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11874 LNCS, pp. 444-456, 2019

9. Fuzzy Similarity-based Hierarchical Clustering for Atmospheric Pollutants Prediction, F. Camastra, A. Ciaramella, A. Riccio, S. Le Hoang, A. Staiano, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11291 LNAI, pp. 123-133, 2019;

10. Content-based music agglomeration by sparse modeling and convolved independent component analysis, M. Iannicelli, D. Nardone, A. Ciaramella, A. Staiano, (2019) Smart Innovation, Systems and Technologies, 103, pp. 87-96;

11. Fuzzy clustering of structured data: Some preliminary results, G. Vettigli, A. Ciaramella, IEEE International Conference on Fuzzy Systems, art. no. 8015648, 2017;

12. On the estimation of pollen density on non-target lepidoptera food plant leaves in bt-maize exposure models: Open problems and possible neural network-based solutions, F. Camastra, A. Ciaramella, A. Staiano, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10613 LNCS, pp. 407-414, 2017;

13. Semantic maps of Twitter conversations, A. Ciaramella, A. Maratea, E. Spagnoli, Smart Innovation, Systems and Technologies, 69, pp. 327-338, 2017;

14. A bayesian-based neural network model for solar photovoltaic power forecasting, A. Ciaramella, A. Staiano, G. Cervone, S. Alessandrini, Smart Innovation, Systems and Technologies, 54, pp. 169-177, ISSN: 21903018, doi: 10.1007/978-3-319-33747-0_17, 2016;

15. A Fuzzy Decision Support System for the Environmental Risk Assessment of genetically modified organisms, F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, Smart Innovation, Systems and Technologies, 26, pp. 241-249, ISSN: 21903018, doi: 10.1007/978-3-319-04129-2_24, 2014;

16. Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System, F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, LNCS, vol. 8158, p. 428-435, ISBN: 978-3-642-41189-2, ISSN: 0302-9743, doi: 10.1007/978-3-642-41190-846, 2013;

17. Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs, F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A. Staiano, G. Staiano, A. Starace, LNAI, vol. 8256, p. 226-233, ISBN: 978-3-319-03199-6, ISSN: 0302-9743, doi: 10.1007/978-3-319-03200-923, 2013;

18. Comparison of Dispersion Models by Using Fuzzy Similarity Relations, A. Ciaramella, A. Riccio, S. Galmarini, G. Giunta, S. Potempski, LNCS, vol. 6934; p. 57-67, ISSN: 0302-9743, doi: 10.1007/978-3-642-23954-0_8, 2011;

19. Uninorm Based Fuzzy Network for Tree Data Structures , A. Ciaramella, W. Pedrycz, A. Petrosino, LNAI 5571, pp. 77-84, ISSN: 0302-9743, doi: 10.1007/978-3-642-02282-1_10, 2009;

20. Statistical and Fuzzy Approaches for Atmospheric Boundary Layer Classification , A. Ciaramella, A. Riccio, F. Angelini, G. P. Gobbi, T. C. Landi, LNAI 5853, pp. 375-384, ISSN: 0302-9743, doi: 10.1007/978-3-642-10291-2_38, 2009;

21. Independent Data Model Selection for Ensemble Dispersion Forecasting , A. Ciaramella, G. Giunta, A. Riccio, S. Galmarini, Book: Applications of Supervised and Unsupervised Ensemble Methods Series: Studies in Computational Intelligence, Vol. 245, pp. 213-231, ISSN: 1860-949X, doi: 10.1007/978-3-642-03999-7_12, 2009;

22. Single Channel Polyphonic Music Transcription , A. Ciaramella, Frontiers in Artificial Intelligence and Applications (IOS), vol. 193, pp. 99-108, ISSN: 0922-6389, doi: 10.3233/978-1-58603-984-4-99, 2009;

23. The Genetic Development of Uninorm-Based Neurons , A. Ciaramella, W. Pedrycz and R. Tagliaferri, LNAI 4578, pp. 69-76, ISSN: 0302-9743, 2007;

24. Clustering, Assessment and Validation: an application to gene expression data , A. Ciaramella,S. Cocozza, F. Iorio, G. Miele, F. Napolitano, M. Pinelli, G. Raiconi, R. Tagliaferri, Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA, August 12-17, 2007, pp. 1419-1425, ISSN: 10987576, doi: 10.1109 /IJCNN.2007.4371199, 2007;

25. NEC for Gene Expression Analysis , R. Amato, A. Ciaramella, N. Deniskina, et al., LNAI 3849, pp. 246-251, ISSN: 03029743, doi: 10.1007/11676935_30, 2006;

26. OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms , A. Ciaramella, W. Pedrycz, R. Tagliaferri, LNAI 3849, pp. 188-194, ISSN:0302-9743, doi: 10.1007/11676935_23, 2006;

27. NEC: a Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information, A. Ciaramella, G. Longo, A. Staiano, R. Tagliaferri, LNCS 3931, pp. 49-56, ISSN: 03029743, doi: 10.1007/11731177_8, 2006;

28. Fuzzy Relational Neural Network for Data Analysis , A. Ciaramella,W. Pedrycz, R. Tagliaferri, A. Di Nola, LNAI 2955, pp. 103 - 109, ISSN: 0302-9743, 2006;

29. BSS Toolbox for Delayed and Convolved Mixtures , A. Ciaramella, F. Iorio, R. Tagliaferri, Proceedings of IEEE International Joint Conference on Neural Networks 2005 (IJCNN05), vol. 2, pp. 1245 - 1250, ISBN: 0780390482;978-078039048-5, doi: 10.1109 /IJCNN.2005.1556032, 2005;

30. Data Visualization Methodologies for Data Mining Systems in Bioinformatics , A. Ciaramella, A. Staiano, R. Tagliaferri et al., Proceedings of IEEE International Joint Conference on Neural Networks 2005 (IJCNN05), vol. 1, pp. 143 - 148, ISBN: 0780390482;978-078039048-5, doi: 10.1109 /IJCNN.2005.1555820, 2005;

31. Visualization, Clustering and Classification of Multidimensional Astronomical Data , A. Ciaramella, A. Staiano, R. Tagliaferri et al., Proceedings of IEEE International Workshop on Computer Architecture for Machine Perception (CAMP05 ), pp. 141 - 146, 2005;

32. Inference Systems by Using Ordinal Sums and Genetic Algorithms , A. Ciaramella, W. Pedrycz, R. Tagliaferri, Proceedings of NAFIPS 2004, IEEE Annual Meeting of the Fuzzy Information, vol.2, pp. 629 - 634, 2004;

33. Fuzzy Neural Networks Based on Fuzzy Logic Algebras Valued Relations , R. Tagliaferri, A. Ciaramella, A. Di Nola, R. Belohlavek, “Fuzzy Partial Differential Equations and Relational Equations: Reservoir Characterization and Modeling”, M. Nikravesh, L.A. Zadeh, V. Korotnihk (Eds.), Springer-Verlag, ISBN: 978-3-540-20322-3, doi: 10.1007/978-3-540-39675-8_3, 2004;

34. Ordinal Sums by Using Genetic Algorithms , A. Ciaramella, W. Pedrycz, R. Tagliaferri, Proceedings of FUZZ-IEEE 2004, IEEE International Conference on Fuzzy Systems, vol. 2, pp. 641-646, ISSN: 10987584, doi: 10.1109 /FUZZY.2004.1375472, 2004;

35. ICA for Modelling and Generating Organ Pipes Self-sustained Tones , A. Ciaramella, E. De Lauro, S. De Martino, M. R. Falanga, R. Tagliaferri, Proceedings of IJCNN 2004, IEEE International Joint Conference on Neural Networks, pp. 261-266, ISSN: 10987576, 2004;

36. Probabilistic principal surfaces for yeast gene microarray data mining , A. Staiano, L. De Vinco, A. Ciaramella, G. Raiconi, R. Tagliaferri, R. Amato, G. Longo, C. Donalek, G. Miele, D.D. Bernardo, Proceedings of IEEE Conference on Data Mining, Brighton, UK, 1-4 Novembre, ISBN: 0769521428;978-076952142-8, doi: 10.1109 /ICDM.2004.10088, 2004;

37. Amplitude and Permutation Indeterminacies in Frequency Domain Convolved ICA , A. Ciaramella, R. Tagliaferri, Proceedings of the IEEE International Joint Conference on Neural Networks 2003, vol. 1, pp. 708-713, 2003;

38. Fuzzy Similarities in Stars/Galaxies Classification , S. Sessa , R. Tagliaferri, G. Longo, A. Ciaramella, A. Staiano, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 2 , pp. 494-496, ISSN: 08843627, 2002;

39. Fuzzy relations neural network: Some preliminary results , A. Ciaramella, W. Pedrycz, R. Tagliaferri, Proceedings of the 10th IEEE International Conference on Fuzzy Systems, vol. 1, pp. 469-472, 2001;

40. Two-layer Fuzzy Relational Networks: some preliminary results , A. Ciaramella, W. Pedrycz, R. Tagliaferri, Proceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems & Thecnology (CBGI) 2001, pp. 82-86, ISBN: 0970789009, 2001;

41. Advanced Data Mining Tools for Exploring Large Astronomical Data Bases , G. Longo, R. Tagliaferri, S. Sessa, P. Ortiz, M. Capaccioli, A. Ciaramella, C. Donalek, G. Raiconi, A. Staiano, A. Volpicelli, SPIE’s 46th Annual Meeting International Symposium on Optical Science and Technology, pp. 61-75, ISSN: 0277786X, doi: 10.1117/12.447191, 2001;

42. Hybrid Neural Networks for Frequency Estimation of Unevenly Sampled Data , F. Barone, A. Ciaramella, L. Milano, R. Tagliaferri, G. Longo, Proceedings of the International Joint Conference on Neural Networks (IJCNN), vol. II, pp. 975-979, 2000;

2003 - Phd Program, Università degli Studi di Salerno, Italia

1998 - Computer Science Laurea (cum Laude), Università degli Studi di Salerno, Italia

Full Professor, Dipartimento di Scienze e Tecnologie, Università degli Studi di Napoli “Parthenope”

• Coordinator of the Computer Science Program

Department of Science and Technology, University of Naples “Parthenope”

• Coordinator of the IoS Foundation Program

Scientific and Technological cooperation agreement between University of Naples “Parthenope” and Apple Distribution International

• Head of the Research laboratory “Computational Intelligence and Smart Systems”

Department of Science and Technology, University of Naples “Parthenope”

• GRIN representative

Unit of the Department of Science and Technology, University of Naples “Parthenope”

• Council Member of “Scuola Interdipartimentale delle Scienze, dell’Ingegneria e della Salute”, Dipartimento di Scienze e Tecnologie, Università degli Studi di Napoli “Parthenope”

• Member of “Esperti della Valutazione – Profilo Esperti Disciplinari”, Agenzia Nazionale di Valutazione del Sistema Universitario e della Ricerca (ANVUR)

• Member of Albo “Esperti Scientifici istituito presso il MIUR”, REPRISE, Ministero dell’Istruzione dell’Universitá e della Ricerca, MIUR

• Machine Learning

M.Sc. in Applied Computer Science (Machine Learning and Big Data), University of Naples “Parthenope”, Italy

• Intelligent Signal Processing

M.Sc. in Applied Computer Science (Machine Learning and Big Data), University of Naples “Parthenope”, Italy

• Programming I and Laboratory of Programming I

B.Sc. in Computer Science, University of Naples “Parthenope”, Italy

• Programming III and Laboratory of Programming III

B.SC. in Computer Science, University of Naples “Parthenope”, Italy

• Programming II and Laboratory of Programming II

B.Sc. in Computer Science, University of Naples “Parthenope”, Italy

• Member of the Doctoral Programme

36th Cycle - "Computational and Quantitative Biology ", Scientific coordinator Prof. Michele Ceccarelli, University of Naples “Federico II”, Italy

• Tutor of the Doctoral Programme

34th Cycle, Univesity of Milan, Italy

• Member of the Doctoral Programme

31th Cycle - “Ambiente, Risorse e Sviluppo Sostenibile”, Scientific coordinator Prof. Dumontet Stefano, Univesity of Naples "Parthenope", Italy

• 2000 - Visiting Doctoral Fellow, Department of Information and Computer Science at Aalto University School of Science (Prof. Erkki Oja)

• 2001-2003-2004 - Visiting Doctoral and Post-Doctoral Fellow, Dept. of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada (Prof. Wirtold Pedrycz)

• co-Editor volume

“Internet and Distributed Computing Systems”, 12th International Conference, IDCS 2019, Naples, Italy, October 10–12, 2019, Proceedings, Editors: Montella, R., Ciaramella, A., Fortino, G., Guerrieri, A., Liotta, A. (Eds.), LNBI, Springer, ISBN 978-3-030-34914-1

• co-Editor volume

“Computational Intelligence Methods for Bioinformatics and Biostatistics” (15-th International Meeting, CIBB 2018, Revised Selected Papers), Editors: Raposo, M., Ribeiro, P., Sério, S., Staiano, A., Ciaramella, A. (Eds.), LNBI, Springer, ISBN 978-3-030-34585-3

• Guest Editor

Special Issue “Recent Machine Learning Applications to Internet of Things (IoT)”, Electronics (ISSN 2079-9292), Section “Artificial Intelligence”

• Associate Editor “PeerJ Computer Science”, on-line

• Associate Editor, “Information Sciences Journal”, Springer

• Associate Editor, “Soft Computing Journal”, Springer

• Associate Editor, “International Journal on Artificial Intelligence Tools”, World Scientific

• Associate Editor, “Journal of Applied Mathematics”, Hindawi

• General Chair

12-th International Conference on Internet and Distributed Computing Systems, IDCS2019, Ottobre 10-12, 2019, Napoli, Italia

• Technical Chair

  • COMPUTATION TOOLS 2021, The Twelfth International Conference on Computational Logics, Algebras, Programming, Tools, and Benchmarking, April 18, 2021 to April 22, 2021 - Porto, Portugal

  • CIBB2018, 15th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Caparica, Portogallo, 6-8 September 2018

• Session Chair

"Advanced Smart Multimodal Data Processing", 29th edition of the Italian Neural Networks Workshop, WIRN2019, 12-14 June 2019, Vietri sul Mare (Sa), Italia

• Session Chair

"Computational Intelligence Methods for Bioinformatics and Biostatistics – III", CIBB2018 - 15th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, Caparica, Portugal, 6 to 8 September 2018

• Plenary Lecture Chair

"Sparse graphical models in genomics: an application to censored qPCR data", Prof. Veronica Vinciotti, CIBB2018 - 15th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, Caparica, Portogallo, 6 - 8 Settembre 2018

• Session Chair,

"Advances in Soft Computing modelling for biomedical data", FUZZ-IEEE 2017 (IEEE International Conference on Fuzzy Systems), 09.07.2017 - 12.07.2017, Napoli

• Program Committee Member

IJCNN 2020, International Joint Conference on Neural Networks, 2020

• Program Committee Member

CIBB, International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics

• Program Committee Member

FUZZ-IEEE 2017 (IEEE International Conference on Fuzzy Systems), 09.07.2017 - 12.07.2017, Naples

• Program Committee Member,

Workshop Italiano Reti Neuroniche (WIRN)

• Program Committee Member

International Conference on Intelligent Computing (ICIC)

IEEE (Senior Member), IEEE Computational Intelligence Society, IEEE Signal Processing, SIREN (Societá Italiana REti Neurali), CVPL ex GIRPR (Gruppo Italiano Ricercatori in Pattern Recognition), CINI, CoNISMa, AIxIA

• Task Force on Explainable Fuzzy Systems (https://sites.google.com/view/tf-explainable-fuzzy-systems/members)

• CLAIRE (and CLAIR COVID-19 task force)

• Working group on machine learning in marine science (WGMLEARN) (https://www.ices.dk/community/groups/Pages/WGMLEARN.aspx)

• EXplaNAts (https://sites.google.com/view/exoplanats/)

• CINI Lab - Workgroup Digital Health (Coordinator of the Parthenope Unit, Lab CI&SS) (https://www.consorzio-cini.it/index.php/it/organizzazione-e-unita-di-ricerca)

• CINI Lab - Big Data (Coordinator of the Parthenope Unit, Lab CI&SS) (https://www.consorzio-cini.it/index.php/it/organizzazione-e-unita-di-ricerca)