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UNIVERSITY of PISA, Pisa, Italy
F.3.1 - Aims and activities of the organization |
The University of Pisa is a public institution with a long tradition, deeply rooted in its territory and fully integrated into the international scientific community. It has twenty departments, covering all main areas of teaching and research. It ranks high internationally, and has high level research centres, among others, in agriculture, astrophysics, computer science, engineering, medicine and veterinary medicine.
UNIPI offers 58 undergraduate, 74 graduate and 28 doctoral programs, 68 third cycle specialisation programs, and about 80 shorter programs, including an MBA. It has over 52.000 students, 2900 professors and researchers, and 1467 technical and administrative staff members.
UNIPI has an international, national, regional and local role and leads important international research and educational networks. It is engaged in projects that link its teaching and research activities and enterprise not only in local incubators but also in the key world regionswhich it considers strategic, especially China, Central Asia and Latin America. Moreover, it has taken an important role in developing ECTS and the Bologna Process; it is a key Tuning partner in Europe, Latin America, Central Asia and elsewhere. UNIPI coordinates or is a partner in numerous EU projects, especially Horizon 2020 and Erasmus+.
These have produced tools for quality improvement; UNIPI extends and deepens the work already done to incorporate the findings into its programs and to share them with its partners. Facing the challenges of contemporary society, UNIPI is committed to generating and disseminating knowledge, and to training a new generation equipped with the technical and critical skills needed to face an ever-changing world of work. It has close relations with the Pisan Area of the National Research Council (13 Institutes), with the schools of excellence (Scuola Normale Superiore, Sant’Anna) in Pisa, and numerous other Tuscan and international universities and industries.
F.3.7 - Operational capacity: Skills and expertise of key staff involved in the project (Both EU and PC Institutions)
| Name of staff member |
Summary of relevant skills and experience, including where relevant a list of recent publications related to the domain of the project. |
| Vladimir Georgiev |
Vladimir Georgied received Master degree Laurea at Sofia University in 1981. Then he had two PhD degrees. The First Degree was at Institute for Foreign Students, Sofia in 1987 on Scattering for first order systems. The Second Degree was defended at Institute of Mathematics and Informatics, Bulgarian Academy of Sciences – 1992 with PhD linear nad nonlinear Maxwell’s equations. Vladimir Georgiev was Humboldt fellowship at University of Bonn (1990-91). He was Socrates co-ordinator of the sector of Mathematics at Pisa University 2001- 2007. In the period 2008 - 2012 he was a coordinator of the degree courses in Mathematics and he participates actively in organization of the work with Master degree students. He was coordinator of the Comenius 2.1 projects “Meeting in Mathematics” 2005-2008 (four partner countries), "Dynamical and creative Mathematics using ICT" 2010-2012 and participated another Comenius 2.1 project “Bringing Math to Earth” 2008-2010 (five partner countries). He have also supervised a good number of Master Theses. At the moment together with his position as full professor at University of Pisa he has a JA position at University of Waseda, Tokyo, where is responsible for the work with PhD and Master Degree students under TGU project of Waseda University. His main research interests are math physics equations as Nonlinear Schrődinger equation, wave and Klein – Gordon equations, smoothing and Strichartz estimates for evolution problems, global existence of small and large data solutions to equations of classical quantum mechanics, existence and stability of solitary waves, Maxwell – Dirac and Maxwell – Scrödinger equation, scattering and long range effects for relativistic and non – relativistic particles and fields Among his research interests are Landau – Ginzburg equations, synchronizations of Kuramoto type equations with applications to neuroscience. |
| prof. Francesco Marcelloni |
Francesco Marcelloni received the Laurea degree in Electronics Engineering and the Ph.D. degree in Computer Engineering from the University of Pisa in 1991 and 1996, respectively. He is currently a full professor at the Department of Information Engineering of the University of Pisa. He has co-founded the Computational Intelligence Group at the Department of Information Engineering of the University of Pisa in 2002. Further, he is the founder and head of the Competence Centre on MObile Value Added Services (MOVAS). He has been a member of the Academic Senate of the University of Pisa from 2012 to 2016. Currently, he is the Vice-Rector for International Cooperation and Relations of the University of Pisa.
His main research interests include data mining for big data, multi-objective evolutionary algorithms, genetic fuzzy systems, fuzzy clustering algorithms, pattern recognition, signal analysis, mobile information systems, and data compression and aggregation in wireless sensor networks. He has co-edited three volumes, four journal special issues, and is (co-)author of a book and of more than 200 papers in international journals, books and conference proceedings. He has been TPC co-chair, general co-chair and tutorial chair of some international conferences and has held invited talks in a number of events. Currently, he serves as associate editor of IEEE Transactions on Fuzzy Systems (IEEE), Information Sciences (Elsevier) and Soft Computing (Springer), and is on the editorial board of a number of other international journals. He has coordinated various research projects funded by both public and private entities. Currently, he is coordinating the Erasmus+ KA2 project – “Development of Higher education institutions Internationalization Policies”, Proposal Number 86264-EPP-1-2017-1-IT-EPPKA2-CBHE-JP, Call EAC/A03/2016. |
| Dr. Maria Laura Manca |
Maria Laura Manca received the Master’s Degree in Mathematics from Pisa University, in 1994. Then, she had three Post-graduate Degrees in Physics (Pisa University), Systematic Review in Health Care (Milan University), and Well-being, Nutrition, Sleep and Thermal Medicine (Pisa University).
She is currently “highly professional” manager, technical scientific and elaboration data area, at the Department of Clinical and Experimental Medicine, Pisa University, in agreement with the University-Hospital of Pisa.
She has always worked in the medical field, in multiprofessional teams with physicians (specialists in neurosciences or internal medicine), biologists, psychologists and engineers, being responsible for the biostatistics/biomathematics aspects.
She has also co-supervised a certain number of Master’s Degree Thesis in Mathematics, with regard to the biomathematics area.
Her main research interests are the applications of mathematical models to neuroscience, the study of connections among mathematics, music and brain, the biomedical signals processing, and the implementation of advanced statistical methods in neuroscience, internal medicine, and “omics”.
She has co-authored approximately 70 research papers published on international journals (https://www.scopus.com/authid/detail.uri?authorId=7005510367), conference proceedings and book chapters. |
|
| prof. Gabriele Siciliano |
Present position: Full Professor in Neurology, Department of Clinical and Experimental Medicine, University of Pisa. President of Italian Association of Myology (AIM), since 2015 to date.
Academics and Professionals: Degree in Medicine: University of Pisa,27/6/1980, cum laude. Specialization in Neurology: University of Pisa, 15/11/1984, cum laude, Thesis: “Methods of clinical evaluation of motor function in Duchenne Muscular Dystrophy”. Specialization in Physical and Rehabilitation Medicine: University of Pisa, 21/7/1992, Thesis: “Muscle metabolic aspects of fatigue in normals as evaluated by means of Phosphorus31 Spectroscopic Nuclear Magnetic Resonance during submaximal contraction”; PhD in Neurological and Neurosensorial Sciences (University of Ancona, 2/10/1990), Thesis: “Central and peripheral mechanisms of muscle fatigue in normals and in neuromuscular diseases”. Post-Doctoral Research in Neurosciences: University of Ancona, from 16/9/1991 to 15/9/1993. Neurologist Assistant Register: at Neurological Clinic, University of Pisa, from 1993 to 1997. University Researcher Department of Neuroscience, University of Pisa from 1997 to 2001. University Associated Professor in Neurology (MED/26). Department of Clinical and Experimental Medicine, University of Pisa from 2001 to 2015.
Research activities and interests: Since 1993, he is responsible for the Unit of Neuromuscular Diseases and the Laboratory of Molecular
Diagnosis in the former Department of Neuroscience, now Department of Clinical and Experimental Medicine – Neurological Clinics – University of Pisa, with main interests in clinical, laboratory and molecular aspects of neurodegenerative and neurogenetic disorders, acquired and genetic diseases of peripheral nervous system and skeletal muscle. These activities are conducted in collaboration with some overseas centres and laboratories. Since 1986, he has been engaged in studies muscular dystrophies, metabolic diseases of muscle and motorneuron diseases. In particular, he has studied several issues on muscle fatigue, in collaboration with the Muscle Research Centre, University of Liverpool (Prof. RHT Edwards), exercise in normal and myopathicrnsubjects, motorneuron output evaluation in amyotrophic lateral sclerosis, subsarcolemmal excitability in myotonic syndromes and muscular dystrophies, analysis of metabolic parameters in McArdle’s disease and mitochondrial myopathies. In the same period, he has been engaged in epidemiological and therapeutical studies on neuromuscular disorders, in particular the use of selenium in Steinert disease, idebenone in mitochondrial myopathies, mexiletine in congenital myotonia, TRH and riluzole in amyotrophic lateral sclerosis. As far as mitochondrial myopathies are concerned, he is currently studying the effects of aerobicrntraining programs, the relationship between metabolic and catecholaminergic systems during exercise, the pathogenic role of mitochondrial transcription factors, the diagnostic usefulness of magnetic resonance spectroscopic techniques. Furthermore, he is working on the possible role of mitochondrial involvement and oxidative stress in the pathogenesis of neurodegenerative disorders. All these activities have led to a scientific production volume represented by near 300 full papers, in specialized cited international journals, dealing with the above indicated arguments, funded projects from Institutional and Charity bodies, responsibility in research evaluation committees for public and private funding research bodies, participation to national and international clinical trials performed according to GCP (last GCP training certificate obtained in 19 February 2016).
He has been the Coordinator of the nation−wide Italian collaborative network established in 2009 (granted by Telethon-UILMD GUP09004), that has already developed a web-based registry of patients with mitochondrial diseases. They have collected 1400 patients, with onset of the disease in both adulthood and in childhood. |
| Dr. Enrica Bonanni |
Enrica Bonanni received the Medical Degree, in 1982, the Residency in Neurology, in 1986 and in Psychiatry, in 1991, from Pisa University. She is Assistant Tenured Professor, Department of Clinical and Experimental Medicine, University of Pisa, and Director of the
videoEEG (electroencephalography) Unit and EEG Lab, Neurological Clinic, University-Hospital of Pisa.
The main fields of research are: sleep and vigilance disorders in neurodegeneratives diseases, epilepsy and EEG analysis.
She is a certified expert in Sleep Medicine, member of
Board of Directors of Italian Association of Sleep Medicine (AIMS),
Director of the AIMS Special Committee, member of the AIMS Special Committees “Sleep in Women”, “Sleepiness and road accidents”, “Sleep and neurodegenerative disorders”, member of the Scientific Board of the Pisa Sleep Award since 2012, co-author of the 2010 National Guidelines COMLAS for the evaluation of driver’s licence requirements.
Enrica Bonanni has been Principal Investigator in a large number of scientific projects on sleep.
She has co-authored approximately 90 research papers published on international indexed peer-reviewed journals:
https://www.scopus.com/authid/detail.uri?authorId=6701515579 |
| prof. Marco Luise |
Marco LUISE is a Full Professor of Telecommunications at the University of Pisa, Italy, where he also serves as the Coordinator of the PhD program in Ingegneria dell' Informazione (Automation/Robotics, Biomedical, Electronics, and ICT Engineering). He was born in Livorno, Italy, in 1960 and received his MSc (cum Laude) and PhD degrees in Electronic Engineering from the University of Pisa, Italy. In the past, he was a Research Fellow of the European Space Agency (ESA) at the European Space Research and Technology Centre (ESTEC), Noordwijk, The Netherlands, a Researcher of CNR, the Italian National Research Council. He chaired the V, VI, VII, and IX editions of the Tyrrhenian Interna-tional Workshop on Digital Communications, respectively, and he was the General Chairman of the URSI Symposium ISSSE'98. He's been the Technical Co-Chairman of the 7th International Workshop on Digital Signal Processing Techniques for Space Communications and of the Conference European Wireless 2002. Prof. Luise was the General Chairman of EUSIPCO 2006 held in Florence, Italy, in September 2006, and more recently the general co-chair of European Wireless 2010 and Technical Program Chair of the Future Network and Mobile Summit 2010 of the European Commission. In 2014, he was the General Co-chair of ICASSP 2014 that was held in Florence, Italy, and the co-chair of the ASMS/SPSC Conferences in Livorno. He's been the Coordinator of the EC FP7 Network of Excellence on Wireless Communications NEWCOM#.
M. Luise is an IEEE Fellow, was an Editor of the IEEE Transactions on Communications and of the European Transactions on Telecommunications (of which he's now in the Advisory Board). He was the co-founder and first co-Editor-in-Chief of the International Journal of Navigation and Observation, and is the Division Editor for Communication Theory and Systems of the Journal of Communications and Networks. He was the General Secretary of the Italian Association GTTI, Gruppo Telecomunicazioni Tecnologie dell'Informazione, and sits in the Executive Board of CNIT. He has also been the Chairman of the URSI's Commission C and is a member of the International Committee on Global Navigation Satellite Systems (ICG) of the UNO. He has contributed to establish the Association ToscanaSpazio, which is currently chairing. His main research interests lie in the broad area of communication theory, with particular emphasis on wireless communications, and mobile and satellite communication and positioning systems.
COMPLETE PUBLICATION LIST AT http://www.iet.unipi.it/m.luise/#port |
| Dr. Davide Bacciu |
Davide Bacciu received the M.Sc. in Computer Science from University of Pisa in 2003. He completed a Ph.D. in Computer Science and Engineering at IMT Lucca in 2008. He is currently senior Assistant Professor at the Computer Science Department, Pisa University. His main research interests concern machine learning fundamentals, (deep) neural networks, generative learning, kernel methods, adaptive processing of structured data (sequences, trees and graphs) as well as distributed and embedded learning systems. He has participated as leading researcher in several EU funded projects, and he is currently coordinator of the Italian national project LISTIT (MIUR-SIR program, 2016-2019) on machine learning for structured data. He is also leading an industrial research project on machine learning for stress categorization from wearable sensor data. He has co-authored over 70 research papers published on international journals, conference proceedings and book chapters. He has delivered invited presentations in highly reputed research centres, including University of Heidelberg, Royal Statistical Society and King's College London. He is the recipient of the 2009 E. R. Caianiello Award for the best Italian Ph.D. thesis in neural networks and he is an IEEE Senior Member. Currently, Dr. Bacciu serves as Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems, he is Accademic Editor of PLOS One and guest Editor of Frontiers in Robotics and Artificial Intelligence. He is Secretary and Steering Board member of the Italian Association for Artificial Intelligence |
| prof. Eugene Stepanov |
Eugene Stepanov received his Ph.D in Mathematics at Scuola Normale Superiore di Pisa in 1999 and Doctor of Sciences in Physics and Mathematics (equivalent to Habilitation) in the Institute of Information
Transmission Problems (Moscow, Russia) in 2006. His current positions is senior researcher at the St. Petersburg Branch
of the Steklov Research Institute of Mathematics of the Russian Academy of Sciences.
He is an active researcher in various areas of pure and applied mathematics, especially interested
in calculus of variations and optimal control, metric geometry and geometric measure theory, as well
as in various applications. For several year he also actively collaborates with several groups
of researchers in Computational Molecular Biology/Bioinformatics on protein modeling as well as on
elaboration of metagenomic data, proposing new models and algorithms to solve several bioinformatics
problems involving huge data. On the results of his research he published more than 50 papers in renowned international
journals as well as one book (https://www.scopus.com/authid/detail.uri?authorId=7102907459). |
| Dr. Tommaso Sallamone |
Master’s Degree in Political Sciences in the International relations field, he works within the Section for International Programs of mobility and training of the Research and Internationalization Direction of the University of Pisa. His work is related with the support for planning, preparation of proposals and reporting of projects of international training and mobility. He has a long experience in the administrative and financial management of EU Projects (VI and VII Framework Program; Erasmus Academic Networks; Erasmus Mundus Program, Tempus Program and Erasmus + Program). |
Other Community Grands
Programme or initiative |
Reference number |
Beneficiary Organisation |
Title of the Project ? |
Erasmus + Programme |
586264-EPP-1-2017-1-IT-EPPKA2-CBHE-JP |
Università di Pisa |
Development of Higher education istitutions Internationalization Policies |
Erasmus + Programme |
2017-1-IT02-KA107-036224 |
Università di Pisa |
International Credit Mobility KA 107 |
Erasmus + Programme |
586000-EPP-1-2017-1-
PT-EPPKA2-CBHE-JP |
Università di Pisa (Grantholder: University of Porto) |
B-Learning Uzbekistan Veterinary Network |
Erasmus + Programme |
587663-EPP-1-2017-1-IT-
EPPJMO-MODULE |
Università di Pisa |
Protecting the EU’s financial interest: role of European Court of
Auditors and the cooperation with Italian Corte dei Conti |
Erasmus + Programme |
587301-EPP-1-2017-1-IT-
EPPJMO-MODULE |
Università di Pisa |
The Economics of European Regions: Theory, Empirics, and Policy |
Erasmus + Programme |
586997-EPP-1-2017-1-IT-
EPPJMO-MODULE |
Università di Pisa |
Labour Economics in an European Perspective |
Erasmus + Programme |
2017-1-IT02-KA203-036980 |
Università di Pisa |
SPRINT4.0 - Strategic PaRtnership for INdustry 4.0 innovation advanced Training |
Erasmus + Programme |
562148-EPP-1-2015-1-NL-EPPKA3-PI-FORWARD |
UNIPI (Grantholder: Groningen) |
Measuring and Comparing Achievements of Learning Outcomes in Higher Education in Europe (CALOHEE) |
Erasmus + Programme |
2016-1-IT02-KA107-023568 |
Università di Pisa |
International Credit Mobility KA 107 |
Erasmus + Programme |
2016-1-IT02-KA203-024565 |
Università di Pisa |
European framework for ‘Knowledge Triangle’ in the logistics sector |
Erasmus + Programme |
573760-EPP-1-2016-1-ES-EPPKA2-CBHE-JP |
UNIPI (Grantholder: University of Porto) |
Tuning Asia-South East |
Erasmus + Programme |
574998-EPP-1-2016-1-IT-EPPJMO-PROJECT |
Università di Pisa |
Development and Harmonisation of Socially Responsible Investment in the European Union |
Erasmus + Programme |
2016-1-HR01-KA203-022180 |
Università di Pisa (Grantholder: University of Osijek) |
European Information Science Education: encouraging mobility and learning outcomes harmonization (EINFOSE) |
Horizon 2020 |
Project number: 779656 |
Università di Pisa (Grantholder: University of Ghent) |
HiPEAC High Performance and Embedded Architecture and Compilation |
Horizon 2020 |
Project number: 737417 |
Università di Pisa (Grantholder:Stmicroelectonics SrL) |
R3-PowerUP 300mm Pilot Line for Smart Power and Power Discretes |
Horizon 2020 |
Project number: 768686 |
Università di Pisa (Grantholder: Ecole Normale Superieure de Lyon) |
KardiaTool An integrated POC solution for non-invasive diagnosis and therapy monitoring of Heart Failure patients |
Horizon 2020 |
Project number: 770643 |
Università di Pisa (Grantholder: Istituto Nazionale di Statistica) |
MAKSWELL MAKing Sustainable development and WELL-being frameworks work for policy analysis |
Horizon 2020 |
Project number: 755439 |
Università di Pisa (Grantholder: Commissariat al energie Atomique et Aux Energies Alternatives) |
NARSIS New Approach to Reactor Safety ImprovementS |
Horizon 2020 |
Project number: 761349 |
Università di Pisa (Grantholder: Rheinish Westfalische Technische Hochschule Aachen) |
TETRAMAX TEchnology TRAnsfer via Multinational Application eXperiments |
Horizon 2020 |
Project number: 734303 |
Università di Pisa (Grantholder: Istituto Nazionale di Fisica Nucleare) |
NEWS NEw WindowS on the universe and technological advancements from trilateral EU-US-Japan collaboration |
Horizon 2020 |
Project number: 727321 |
Università di Pisa (Grantholder: Aarhus University) |
IWMPRAISE Integrated Weed Management: PRActical Implementation and Solutions for Europe |
Horizon 2020 |
Project number: 727672 |
Università di Pisa (Grantholder: Terres Inovia) |
LEGVALUE To develop sustainable legume-based farming systems and agri-feed and food chains in the EU |
Horizon 2020 |
Project number: 727988 |
Università di Pisa (Grantholder: Wageningen University) |
ROBUST Rural-Urban Outlooks: Unlocking Synergies |
Horizon 2020 |
Project number: 745766 |
Università di Pisa (Grantholder: Selena Labs Spolka z Ograniczoną Odpowiedzialnością) |
BIOMOTIVE Advanced BIObased polyurethanes and fibres for the autoMOTIVE industry with increased environmental sustainability |
Horizon 2020 |
Project number: 723149 |
Università di Pisa |
PARSIFAL Prandtlplane ARchitecture for the Sustainable Improvement of Future AirpLanes |
Horizon 2020 |
Project number: 730998 |
Università di Pisa (Grantholder: Katholieke Universiteit Leuven) |
InGRID-2 Integrating Research Infrastructure for European expertise on Inclusive Growth from data to policy |
Horizon 2020 |
Project number: 737093 |
Università di Pisa (Grantholder: Goteborgs Universiteit) |
FEMTOTERABYTE Spinoptical nanoantenna-assisted magnetic storage at few nanometers on femtosecond timescale |
Horizon 2020 |
Project number: 737469 |
Università di Pisa (Grantholder: Infineon Technologies) |
AutoDrive Advancing fail-aware, fail-safe, and fail-operational electronic components, systems, and architectures for fully automated driving to make future mobility safer, affordable, and end-user acceptable. |
Horizon 2020 |
Project number: 731053 |
Università di Pisa |
UBORA Euro-African Open Biomedical Engineering e-Platform for Innovation through Education |
Horizon 2020 |
Project number: 656753 |
Università di Pisa |
GLASUNTES Innovative high temperature thermal energy storage concept for CSP plants exceeding 50%
efficiency |
Horizon 2020 |
Project number: 693548 |
Università di Pisa |
ArchAIDE Archaeological Automatic Interpretation and Documentation of cEramics |
Horizon 2020 |
Project number: 731974 |
Università di Pisa |
VOSTARS Video Optical See-Through Augmented Reality surgical System |
Horizon 2020 |
Project number: 689691 |
Università di Pisa |
NEVERMIND NEurobehavioural predictiVE and peRsonalised Modelling of depressIve symptoms duriNg primary somatic Diseases with ICT-enabled self-management procedures |
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