Mammone Nadia

PERSONAL INFORMATION

FAMILY NAME: Mammone
FIRST NAME: Nadia
ORCID: orcid.org/0000-0003-4962-3500
RESEARCHERID: K-4501-2016
DATE OF BIRTH: 19 April 1979
NATIONALITY: Italian


SCIENTIFIC IMPACT (Scopus, 11 Sept 2024)

Number of publications: 117
H-index: 26
Number of citations: 2.645


EDUCATION AND TRAINING
PhD (3 years) in Computer Science, Biomedical and Telecommunications Engineering at the Mediterranea University of Reggio Calabria (Italy). Graduated in Feb 2007.
Master's degree in Public Corporation Management (1 year), Mediterranea University of Reggio Calabria (Italy). Graduated in 2011.
Laurea Degree (5 years) in Electronic Engineering, Mediterranea University of Reggio Calabria (Italy). Graduated, summa cum laude, in May 2003.



WORK EXPERIENCE

(July 2023 – Todate) Associate Professor at Mediterranea University of Reggio Calabria (ITALY). Lecturer in Electrical Engineering, Neural Engineering, Artificial Intelligence and Brain Computer Interfaces.
Recipient, until 25/10/2034, of the “Abilitazione Scientifica Nazionale alla funzione di Professore Universitario di Prima Fascia” (Full Professor), Sector IIET-01/A (previously ING-IND/31) – Electrical Engineering (DD n. 553/2021 updated with DD n. 589/2021).

(July 2020 – June 2023) Tenure-Track Assistant Professor at Mediterranea University of Reggio Calabria (ITALY). Lecturer in Electrical Engineering, Neural Engineering, Artificial Intelligence and Brain Computer Interfaces.
Recipient, until 28/03/2024, of the “Abilitazione Scientifica Nazionale alla funzione di Professore Universitario di Seconda Fascia” (Associate Professor), Sector IIET-01/A (previously ING-IND/31) – Electrical Engineering (DD n. 1532, 29 July 2016).
(2018-2019) Researcher at IRCCS Neurolesi Center Bonino-Pulejo, Messina (Italy) in the field of clinical neuroscience and neuro-bioimaging research.
(2014-2018) Principal Investigator and Project Coordinator at the IRCCS Neurolesi Center Bonino-Pulejo, Messina (Italy) of the project entitled “System for the Automatic Artifact Detection and Removal from Electroencephalographic Signals” (Code: GR-2011-02351397). NM was awarded this grant by the Italian Ministry of Health, within the program “Young Researchers 2011-2012”.
(2013-2015) Post-Doc Fellow in Biomedical and Electrical Engineering at the Department DICEAM of the Mediterranea University of Reggio Calabria (Italy) within a research program entitled “Studying the brain connectivity through advanced electroencephalographic signals processing (BrainNet)”. NM developed computational methods for neurophysiological signal processing with application to Brain Computer Interface (BCI) and neurological pathologies.
(Oct 2014 - Apr 2015) Visiting Post-Doc researcher at the “Communication and Signal Processing Research Group” (CSPRG) of the Department of Electrical and Electronic Engineering, Imperial College (London, UK). NM co-worked with CSPRG research staff under the supervision of Prof. Danilo Mandic. Within this visiting program, NM also collaborated with UNEEG Medical A/S (previously HypoSafe A/S, Denmark), a company in the field of EEG medical devices development which cooperates with Roskilde Hospital (Roskilde, Denmark) and with the Faculty of Health and Medical Sciences, University of Copenhagen (Denmark).

(2011-2013) Adjunct Professor of “Neural Networks and Fuzzy Systems” at the University of Reggio Calabria (Italy), Master Degree in Computer Science and Electronic Engineering.
(2009) Adjunct Professor of “Electronics and Instrumentation of Neurophysiopathology Laboratory” at the Faculty of Medicine of the University of Catanzaro (Italy).
(2009) Adjunct Professor of “Bioelectrical Signal Processing” at the Faculty of Medicine the University of Catanzaro (Italy).
(2008) Research Fellow at the Department DICEAM of the Mediterranean University of Reggio Calabria (Italy) within the research program “Studying the dynamics of the epileptic brain by processing EEG signals” (code: A2UNIRC080).
(Aug 2005-Dec 2005 and Nov 2008) Visiting researcher at the Computational NeuroEngineering Laboratory - CNEL, University of Florida. NM carried out a research activity on computational methods for EEG signal processing and co-worked with CNEL research staff, under the supervision of Prof. José Principe, and with Optima Neuroscience (Gainesville, Florida), a medical device company developing innovative technologies for the diagnosis and treatment of neurological disorders.
(2004-2007) PhD Fellow in Information, Biomedical and Telecommunication Engineering at the Mediterranea University of Reggio Calabria (Italy). Development of algorithms for the prediction of epileptic seizures based on electroencephalographic signals’ processing. Dissertation entitled “Quantification, Topography and Modelling of the Short-Term Maximum Lyapunov Exponent in the Epileptic Brain”.

PROJECTS

(29 November 2023-Todate) Title of the Project: “Interactive digital twin solutions for cardiovascular disease Management, PReventiOn and treatment leVeraging the internet of things and Edge intelligence paradigms - IMPROVE”. Project Code: P2022NH2CK. Funded by the Italian Ministry of University and Research (MUR) within the PRIN PNRR 2022 program. NM is the coordinator of the Unit.

(28 September 2023-Todate) Title of the Project: “EXEGETE: Explainable Generative Deep Learning Methods for Medical Image and Signal Processing”. Project Code: 2022ENK9LS. Funded by the Italian Ministry of University and Research (MUR) within the PRIN 2022 program. NM is the coordinator of the Unit.

(January 2023-Todate) Title of the Project: Tech4You – Spoke 6 – Goal 6.2"Marketplace of enabling digital solutions stimulating novel paradigms in the thematic spokes". Funded by PNRR – MUR, code: CUP H23C22000370006.
NM is a member of the project team of the Mediterranea University of Reggio Calabria (Italy) and the reference person for the activities of the electrical engineering group.
The objective of the project is to define a set of technological solutions to support digital transformation to develop innovative services and products and enable new business models and market opportunities. NM is involved in the development of Artificial Intelligence models to enable the development of applications that support advanced automatic reasoning models and data inference.

(September 2022 - Todate) Title of the Project: “Sustainable Mobility Center (Centro Nazionale per la Mobilità Sostenibile – CNMS) - Spoke 6”. Funded by PNRR – MUR, code: CUP C33C22000240001.
One of the goals of the project is making the mobility system safer: promoting digital products and processes to favor intelligent management, monitoring and predictive maintenance, reducing fatal accidents by reducing operating costs and increasing the level of safety of the entire mobility system. NM is a member of the project team of the Mediterranea University of Reggio Calabria (Italy) and is involved in the development of Artificial Intelligence models for safe driving.

(September 2021 – February 2023) Title of the Project: “iCare”, funded by POR CALABRIA FESR-FSE 2014/2020 AZIONI 1.5.1 E 10.5.12.
The goal of the project is introducing a telemedicine platform based on new methodologies for the provision of health services in the Calabrian territory, in order to guarantee essential levels of health care. NM was a member of the project team of the Mediterranea University of Reggio Calabria (Italy) and conducted a research activity aimed at creating new pipelines for the automatic processing of bio-signals through novel architectures of artificial neural networks. NM was the supervisor of a research fellow enrolled in the iCare project.

(July 2020 - October 2021) Title of the Project: “COGITO - Dynamic and cognitive system to allow buildings to learn and adapt”, funded by: MIUR, code ARS01_00836.
NM was a member of the project team of the Mediterranea University of Reggio Calabria (Italy) and conducted research activities within a WP focused on the "Intelligent management of the building-plant system for energy efficiency and indoor quality", through the design and implementation of AI models for the calculation of the optimal inclination of the slats of the cognitive venetian blinds and within a WP focused on "Efficient management of the use of the internal and external environments of the building", through the design and implementation of AI models for the automatic evaluation of the sleep quality of the subjects occupants of the building.
(2014-2018) Principal Investigator and Project Coordinator at the IRCCS Neurolesi Center Bonino-Pulejo, Messina (Italy) of the project entitled “System for the Automatic Artifact Detection and Removal from Electroencephalographic Signals” (Code: GR-2011-02351397). NM’s grant was funded by the Italian Ministry of Health, within the program “Young Researchers 2011-2012”. The project produced a relevant outcome in terms of developed deep learning-based methods for EEG signal processing for the investigation of Alzheimer disease, as evidenced by the reported scientific publications on relevant journals and conferences as well as by an international patent.


PATENTS

Title: METHOD FOR DETECTING A CONVERSION FROM MILD COGNITIVE IMPAIRMENT TO ALZHEIMER DISEASE (published)
Inventors: Nadia Mammone, Francesco Carlo MORABITO, Placido Bramanti, Alessia BRAMANTI, Maurizio CAMPOLO, Cosimo IERACITANO, Lilla BONANNO
International Publication Number: WO2019/150274A1
International Publication Date: 08 August 2019
International Patent Classification: A61B 5/00 (2006.01)
183°

Title: METHOD FOR DETECTING A CONVERSION FROM MILD COGNITIVE IMPAIRMENT TO ALZHEIMER DISEASE (pending)
Publication number: US 2021/0030369 A1
Filed: January 30, 2019
Publication date: February 4, 2021
Inventors: Nadia Mammone, Francesco Carlo Morabito, Placido Bramanti, Alessia Bramanti, Maurizio Campolo, Cosimo Ieracitano, Lilla Bonanno.


AWARDS and HONORS
Recipient of the 2022 international "Hojjat Adeli Award for Outstanding Contributions in Neural Systems", awarded annually by “World Scientific Publishing”, to the most innovative scientific research published in the previous year (https://www.worldscientific.com/worldscinet/ijns).
Invited keynote speaker at “BCI & NEUROTECHNOLOGY SPRING SCHOOL 2024”, April 22 – May 1, 2024 (https://www.gtec.at/spring-school-2024/), powered by IEEE Brain Initiative. This event was hosted by G.tec medical engineering GmbH (Austria). The spring school attracted 82.881 participants from 118 countries, including 511 BR41N.IO hackers organized into 68 teams.
Invited keynote speaker at “BCI & NEUROTECHNOLOGY SPRING SCHOOL 2023”, April 17-26, 2023 (https://www.gtec.at/spring-school-2023/), powered by IEEE Brain Initiative. This event was hosted by G.tec medical engineering GmbH (Austria) and featured 120 speakers from 82 Universities/companies worldwide sharing insight on Brain-Computer Interface, Nanotechnologies, Neurorehabilitation, and Engineering.
Listed among the World's Top 2% Scientists of the world 2023 (University of Stanford).
Listed among the World's Top 2% Scientists of the world 2022 (University of Stanford).
Invited keynote speaker at “BCI & NEUROTECH MASTERCLASS ITALIA” 2024, hosted by G.tec medical engineering GmbH (Austria).
Invited keynote speaker at “BCI & NEUROTECH MASTERCLASS ITALIA 1.0” (28 Feb 2022), the first Italian Master Class, hosted by G.tec medical engineering GmbH (Austria).
Recipient of the XIII Edition of the "Eduardo Caianiello" National Prize awarded by the Italian Society of Neural Networks (SIREN) for the best PhD Dissertation.
Recipient of the "2006 Anassilaos Giovani Prize" for scientific research achievements, awarded by the cultural association Anassilaos, the Regional Council of Calabria, Sicily Region, the Province of Reggio Calabria, the Regional Province of Messina and the City of Reggio Calabria.


PARTICIPATION IN JOINT RESEARCH ACTIVITIES
(2018-Todate) Participation in a joint research activity between NeuroLab and AI_LAB laboratories (University of Reggio Calabria, Italy), Prof. H. Adeli of the Ohio State University (Columbus, Ohio, USA) and Prof. J. P. Amezquita-Sanchez, Faculty of Engineering, Autonomous University of Queretaro (Mexico) for the development of EEG-based brain connectivity models.
(2016-Todate) Participation in a joint research activity between NeuroLab and AI_LAB laboratories (University of Reggio Calabria, Italy) and ST Microelectronics (https://www.st.com/content/st_com/en.html) aiming at developing a Brain Computer Interface system based on the detection and decoding of eye movements for the control of external devices. This activity has been carried out also with the involvement of 13 students with NM as co-supervisor.
(2015-Todate) Participation in a joint research activity between NeuroLab and AI_LAB laboratories (University of Reggio Calabria, Italy) and Prof. A. Hussain, Director of the Cognitive Big Data Informatics Research Lab (CogBID) at the Edinburgh Napier University (Scotland, United Kingdom) for the development of Deep Learning based systems for the differential diagnosis of neurological disorders.
(2015-Todate) Participation in a joint research activity between NeuroLab and AI_LAB laboratories (University of Reggio Calabria), IRCCS Centro Neurolesi Bonino-Pulejo of Messina and the Knowledge Engineering & Discovery Research Institute (KEDRI) of Auckland University of Technology (New Zealand), directed by Prof. N. Kasabov, for the design of advanced methods of processing based pathological electroencephalographic signals by means of spiking neural networks (NeuCube).
(2003-Todate) Participation in a joint research activity between NeuroLab and AI_LAB laboratories (University of Reggio Calabria) and the Regional Center Epilepsies (Bianchi-Melacrino-Morelli Hospital of Reggio Calabria) for the development of advanced methods for processing brain electrical signals of patients suffering from neurological diseases.



EDITORIAL ACTIVITY

2024-Todate
Associate Editor of Artificial Intelligence in Neurology (specialty section of Frontiers in Neurology).

2024-Todate
Editor of the special issue “Topical Collection on AI for Space: Theories, Models and Applications” of “Neural Computing and applications” (Springer).

2023-Todate
Editor of Neural Technology (Frontiers in Neuroscience).
Editor of the volume “The Use of Artificial Intelligence for Space Applications - Workshop at the 2022 International Conference on Applied Intelligence and Informatics”, Publisher Springer Nature Switzerland AG, book series Studies in Computational Intelligence.
Editor of the volume “The 2022 International Conference on Applied Intelligence and Informatics”. Publisher Springer Nature Switzerland AG, Computer Science book series in Communications in Computer and Information Science (published in 2023).

Lead Guest Editor of the Special Issue "Information Theory in Deep Learning and Signal Processing for Biomedical Signal Analysis" of MDPI Entropy (published in 2021) https://www.mdpi.com/journal/entropy/special_issues/Biomedical_Sig)

Lead-Guest Editor of the Special Issue "Advanced Methods to Analyse the Complexity of the Brain" of the journal "Complexity", Hindawi (published in 2018) - (https://www.hindawi.com/journals/complexity/si/516316/cfp/)

Member of the International Neural Networks Society (INNS) Special Interest Group on Engineering Applications of Neural Networks (SIG EANN) – (https://www.inns.org/eann).



CONFERENCE ORGANIZATION

Program Committee Member of the 2nd Applied Intelligence and Informatics Conference (AII2022, Reggio Calabria, Italy).

Organizer of the Special Session "Randomization-based Fuzzy Neural Networks" within the IEEE World Congress on Computational Intelligence (FUZZ-IEEE 2022, Padua, July 2022).

Organizer of the Special Session "Artificial Neural Networks for Healthcare and Bio-signals Analysis" within the IEEE World Congress on Computational Intelligence WCCI 2020 - Glasgow, Scotland (UK), July 19-24, 2020.

Organizing Committee Member, IEEE 3rd International Forum on Research
and Technologies for Society and Industry (IEEE RTSI 2017).

Program Committee Member "27th Italian Workshop on Neural Networks" (WIRN 2017),
Vietri sul Mare, Salerno, Italy.

Program Committee Member "26th Italian Workshop on Neural Networks" (WIRN 2016),
Vietri sul Mare, Salerno, Italy.


TEACHING ACTIVITIES
(2022 – Todate) NM is a member of the Academic Board of the PhD in "Civil, Environmental and Industrial Engineering" based in the DICEAM Department of the Mediterranean University of Reggio Calabria (Italy).
(2020 - Todate) Teaching activity within the academic courses: “Electrical Engineering”; “Neural Engineering”, “Engineering Applications of Artificial Intelligence”, “Brain Computer Interface”, “Circuits and Models for Biomedical Engineering” at the Mediterranea University of Reggio Calabria (Italy).
(June 2017) Lecturer of seminars on "Nonlinear analysis of biomedical signals" and "Machine Learning for signal processing" within the PhD School training courses organized by the University of Reggio Calabria and the University of Messina.
(July 2013) Lecturer of seminars during the course "Multivariate biomedical signal processing", within the Master Program “Bioengineering and Technology for Health”, Dante Alighieri University of Reggio Calabria (Italy).
(2004 - Todate) Supervisor of nearly 50 BS and MS dissertations and co-Supervisor of 5 PhD students.

SCIENTIFIC SOCIETIES MEMBERSHIP
- Senior Member of the Institute of Electrical and Electronic Engineers (IEEE)
- Member of the International Neural Network Society (INNS)
- Chair of the "Artificial Intelligence for Neural Engineering (AINE) Section" of the International Neural Network Society (https://neural.memberclicks.net/ai-for-ne-section)
- Member of the Italian Neural Networks Society (SIREN)