Giuseppe Agapito is an Assistant Professor and a senior research scientist in the field of Parallel and Distributed Computing, Machine Learning and Graph Theory at the University Magna Græcia, Catanzaro. His research interests focus on the study of machine learning methods that can be used to take advantage of the vast amount of data that are produced nowadays. In particular, the research focuses on the development, implementation, and application of computational intelligence techniques for addressing complex real-world problems in different domains, especially in the field of biology and omics sciences.
Giuseppe Agapito has published his research in various top-quality academic outlets, with more than 100 papers in international journals and conference proceedings. He serves as a reviewer for several scientific journals and a chair and program committee member of several national and international conferences.
Ilkay Altintas is a research scientist at SDSC, UCSD since 2001. She has worked on different aspects of data science and scientific computing in leadership roles across a wide range of cross-disciplinary projects. She is a co-initiator of and an active contributor to the open-source Kepler Workflow System, and co-author of publications at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, sensor systems, conceptual data querying, and software modeling.
Diego Raphael Amancio is an Associate Professor at University of São Paulo (Brazil). His research interest includes complex networks, machine learning, data mining, science of science, scientometrics, natural language processing and complex systems.
Giovanni Angiulli received the Laurea (Master's degree) in Computer Science Engineering from the University of Calabria (Italy) and the Dottorato di Ricerca (PhD degree) in Electronics and Computer Science Engineering from the University of Napoli Federico II, Italy, in 1993 and 1998, respectively. Since 1999, he has been with the Department of Information, Infrastructures, and Sustainable Energy (DIIES, formerly DIMET) at the University Mediterranea of Reggio Calabria, Italy, as an Adjunct Professor. His main research activities concern Computational Electromagnetics, Group Theory methods, and Surrogate ModellingTechniques applied to model microwave circuits and antennas. He also worked on microwave imaging to detect female breast tumors and Ground Penetrating Radar applications in cultural heritage in the last years. He is a Senior Member of IEEE (2015) and a Member of IEICE (2013). In addition, he serves as an Associate Editor for IEEE Access. In recognition of his exceptional contributions, he has been honoured as an Outstanding Associate Editor for 2018 by the IEEE Access Editorial Board. He served as a Guest Editor for Mathematics (MDPI) Special Issue on “Surrogate modeling and related methods in science and engineering” (2021).
* St.Petersburg Polytechnic University
Professor of Water Management and Hydraulic Construction Department
* St.Petersburg State University
Professor of Cartography and Geoinformatics Department
Geoinformation systems (GIS) in regional planning and land use management
BIM & laser scanning; Coupling of environmental physics models and GIS; Agroecosystem modeling in GIS environment; Fuzzy logic methods for decision support in GIS environment.
2011-2014 GIS for drainage system monitoring in Leningrad oblast'
2009-2010 GIS for support of investment program of "RusHydro" company
2001-2004 Information system for the register of the underwater potentially dangerous objects of Russian Federation
1998-2001 GIS for natural resource evaluation in Leningrad oblast'
2017-…. Research and development of algorithms and software for the processing, storage and visualization of laser scanning and photography data
Siqi Bu received the Ph.D. degree from the electric power and energy research cluster, The Queen’s University of Belfast, Belfast, U.K., where he continued his postdoctoral research work before entering industry. Then he was with National Grid UK as an experienced UK National Transmission System Planner and Operator. He is an Associate Professor with The Hong Kong Polytechnic University, Kowloon, Hong Kong, and also a Chartered Engineer with UK Royal Engineering Council, London, U.K.. He is Senior Member of IEEE. His research interests are power system stability analysis and operation control, including wind power generation, PEV, HVDC, FACTS, ESS and VSG.
He is an Associate Editor of IEEE ACCESS and CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, a Guest Editor of IET RENEWABLE POWER GENERATION, ENERGIES and IET GENERATION, TRANSMISSION & DISTRIBUTION, and an Editor of IEEE OPEN ACCESS JOURNAL OF POWER AND ENERGY and PROTECTION AND CONTROL OF MODERN POWER SYSTEMS. He has received various prizes due to excellent performances and outstanding contributions in operational and commissioning projects during the employment with National Grid UK. He is also the recipient of Outstanding Reviewer Awards from IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, IEEE TRANSACTIONS ON POWER SYSTEMS, APPLIED ENERGY, RENEWABLE ENERGY, INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS and JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY respectively.
Associate Professor in the Computer Science Department of the University of Turin, Italy. Principal Scientist and Research Area Coordinator at ISI Foundation, Italy.
Interested in Data & Network Science, Computational Social Science, Web Science, wearable sensors, Digital Epidemiology. SocioPatterns.org co-founder. Past: Sapienza University of Roma, Centro Enrico Fermi, RIKEN Frontier Research Systems, University of Michigan, University of Perugia.
Tianfeng Chai is an Associate Research Scientist at CICS-MD and the Department of Atmospheric & Oceanic Science, University of Maryland, College Park, Maryland, USA. He got his master and bachelor degrees from Tsinghua University in Beijing, majoring in Fluid Mechanics, Engineering Mechanics, and Environmental Engineering. He earned his Ph.D. at the University of Iowa, with his dissertation of "Four-Dimensional Variational Data Assimilation Using Lidar Data" focusing on atmospheric boundary flow. He then worked with Dr. Greg Carmichael to develop chemical transport model adjoints and computational framework for data assimilation applications before moving to working on the NOAA National Air Quality Forecast Capability (NAQFC) project in 2007. He currently works on the inverse modeling problems using HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model) to support several projects at NOAA Air Resources Laboratory.
Neil Chue Hong is the founding Director and PI of the Software Sustainability Institute, a collaboration between the universities of Edinburgh, Manchester, Oxford and Southampton. He enables research software users and developers to drive the continued improvement and impact of research software. From 2007-2010, he was Director of OMII-UK at the University of Southampton, which provided and supported free, open-source software for the UK e- Research community. In addition to sitting on several project advisory committees, he is the Editor-in-Chief of the Journal of Open Research Software, chair of the Met Office / UKRI ExCALIBUR Steering Committee, past chair of the EPSRC Strategic Advisory Team on e-Infrastructure, co-author of "Best Practices for Scientific Computing" and "An Open Science Peer Review Oath", and co-organiser of the Software Engineering for Science workshop series.
I am Associate Professor of Applied Physics, Director of the BIND – Behavioral Imaging and Neural Dynamics Center, and affiliated to the Department of Neuroscience, Imaging and Clinical Sciences, at the University “G. d’Annunzio” of Chieti – Pescara, Italy.
My research focus is on biomedical signal processing, mainly on functional and effective connectivity in adults and children to detect the neural correlates of behavior in studies adopting a multimodal and multidisciplinary approach.
Daniele D'Agostino, Ph.D., is associate professor at the University of Genoa (DIBRIS), Italy. His research interests are in the field of high performance computing and e-Science. In particular he cooperates with scientists of the astrophisics, physics, bioinformatics and earth science domains. In 2014 he was a co-chair of the 22nd Euromicro International Conference on Parallel, Distributed and network based Processing. He co-authored more than 100 papers on international journals, books and conference proceedings. He acted also as co-guest editor of several special issues.
ROBERTAS DAMAŠEVIČIUS received his Ph.D. in Informatics Engineering from Kaunas University of Technology (Lithuania) in 2005. His research interests include sustainable software engineering, human–computer interfaces, assisted living, data mining and machine learning. He is the author of over 300 papers as well as a monograph published by Springer. He is also the Editor-in-Chief of the Information Technology and Control journal and has been the Guest Editor of several invited issues of international journals (Biomed Research International, Computational Intelligence and Neuroscience, Journal of Healthcare Engineering, IEEE Access, and Electronics). Visit his ResearchGate profile: https://www.researchgate.net/profile/Robertas_Damasevicius