Ilaria Lucrezia Amerise is an Associate Professor in the Department of Economics, Statistics and Finance 'Giovanni Anania' (DESF) at the University of Calabria (UNICAL). Her research focuses on multivariate analysis, time series, nonparametric statistics, and statistical methods for complex/high-dimensional data including functional and spatial data. Editor-in-Chief of JP Journal of Biostatistics (ANVUR Area 13) Editorial Board Member of International Journal of Statistics and Systems (ANVUR Area 13) Recent research involves: Statistical preprocessing of crowdsourced data for Nigerian food prices Quantile regression with heteroskedasticity and non-crossing constraints Electricity demand forecasting via Reg-SARMA models Exchange rate prediction using simultaneous prediction intervals Time series outlier detection and smoothing techniques She contributes to academic governance through the Laboratorio Statistico Informatico (Statistical Informatics Lab) within DESF. Teaching includes undergraduate and graduate courses in Statistics, with materials available in both Italian and English.
Roy Cerqueti is Full Professor of Statistics at Sapienza University of Rome where he serves as Director of the Doctoral School in Economics and Social Sciences. He is affiliated with the Department of Social and Economic Sciences and maintains a research affiliation with GRANEM at the University of Angers, France. Previously, he held a part-time professorship at London South Bank University, UK. His research focuses on quantitative methods for economics and finance, data science, and complexity theory. His work spans complex networks analysis, statistical modeling, and applications to financial systems, social dynamics, and policy evaluation. Recent publications demonstrate expertise in Benford's Law applications, cryptocurrency market analysis, social media analytics, and systemic risk assessment in financial networks. Cerqueti's publication record shows strong trends in network science applications to economic systems, with increasing focus on sustainability, social media analytics, and financial market stability. His 2024-2025 work integrates advanced statistical techniques including Random Matrix Theory, fuzzy clustering methods, and multilayer network approaches to analyze complex economic phenomena. He has served as a review panel expert for COST Action proposals (2017-2019) under appointment by the Italian Ministry of Education, University and Research. Cerqueti holds multiple editorial positions and regularly serves as referee for scientific journals and institutions. His teaching portfolio includes courses in International Statistics and Quantitative Methods for Economics at the undergraduate level. As Director of the Doctoral School, he oversees advanced research training in Economics and Social Sciences. He has delivered invited seminars and courses at prestigious international universities, demonstrating global academic engagement. Cerqueti leads research projects including "Analysis of rankings and preference data: new methods and applications" and has participated in numerous national and international research initiatives as Principal Investigator. His lab work focuses on network-based approaches to economic and social systems, with particular emphasis on computational methods for complex data analysis.
Paolo Zatelli is an Associate Professor at the University of Trento , Department of Civil, Environmental and Mechanical Engineering. His academic career spans over two decades, with research expertise in geomatics, photogrammetry, and open-source GIS applications. Department of Civil, Environmental and Mechanical Engineering (since 2001) Researcher in ICAR06 (Topography and Cartography) International collaborations in geospatial projects Education includes a degree in Environmental and Territory Engineering (1993, 110/110 with honors) and a PhD in Topographic and Geodetic Sciences (1998). He has taught courses in GIS, Digital Cartography, and GPS surveying. Research Interests focus on geospatial technologies and their applications. Key areas include digital photogrammetry , wavelet applications in geodesy , GPS survey planning , and open-source GIS development . His work extends to environmental monitoring, historical cartography analysis, and sustainable forest management systems. Publication Trends show sustained contributions to FOSS4G (Free and Open Source GIS) applications, with recent work covering topics like landscape metrics , EV charging infrastructure , beta diversity analysis , and historical map digitization using GRASS GIS and QGIS. Scientific Contributions include: Member, IAG Special Study Group 4.187 on Wavelets in Geodesy Organizing committee, IV Hotine-Marussi Symposium Key developer of GRASS GIS applications Contributor to GOCE satellite geodesy projects Teaching and Mentorship highlights his role in both academic and professional GIS training, with over 20 theses supervised. His Technical Contributions involve developing open-source tools for spatial database management, statistical analysis, and georeferencing workflows.
Shima Azimi is a Research Fellow at the University of Trento's Agriculture, Food, and Environment Center (C3A). Her work focuses on hydrology, remote sensing, and data assimilation in mountainous and Mediterranean environments. She utilizes satellite-based observations and computational models like GEOframe-NewAGE to improve water budget analysis, snowfall estimation, and flood modeling. Her research addresses challenges in spatial resolution, climate data correction, and karst basin dynamics. Institution: University of Trento Role: Research Fellow Email: shima.azimi@unitn.it Research Interests: Shima Azimi specializes in hydrology, integrating remote sensing data with advanced modeling systems to analyze mountain hydrology, snow depth patterns, and water resource management. Her studies often involve data assimilation techniques, satellite soil moisture and evapotranspiration validation, and assessing the impacts of climate variability on hydrological cycles. Publication Trends: Her recent work (2023–2025) emphasizes hydrological model benchmarking, flux consistency across spatial resolutions, and the use of Sentinel-1 and SMAP satellite data for snow depth and soil moisture assimilation. Earlier studies (2014–2020) focus on streamflow forecasting, wavelet transforms, and flood modeling in earthquake-affected regions.
Fabrizio Silvestri is a Full Professor at Sapienza University of Rome's Department of Computer, Automatic and Management Engineering (DIAG), where he coordinates the Ph.D. program in Data Science. He leads the RSTLess research group focusing on Robust, Safe, and Transparent Deep Learning. Research interests: Artificial Intelligence, Machine Learning, Web Search, Natural Language Processing, Information Retrieval, Graph Neural Networks Research Trends from recent publications reveal: Advancements in sequential recommendation systems using topological and sheaf-based neural networks Focus on sustainable AI through eco-aware graph neural networks Counterfactual explanations for graph models and machine unlearning Security applications in dense retrieval and data poisoning defense Time series analysis for 5G network monitoring Integration of attention mechanisms and positional encoding in Transformers Scientific Achievements : ECIR 2018 Test of Time Award 3 Best Paper Awards (ECIR 2007, IEEE WI 2004, WSDM 2011 Runner-Up) Yahoo! Patent Milestone Award Recipient of Yahoo! Labs Excellence Program (LEAP) and Faculty Research Engagement Program (FREP) Finalist for ERCIM Cor Baayen Award (2005) Academic Leadership : Holds 9 industrial patents from Yahoo! and Facebook AI. Directed Facebook AI research groups combating malicious content. Ph.D. in Computer Science from University of Pisa with thesis on High-Performance Issues in Web Search Engines . Supervises thesis projects through the RSTLess group website .
Emmanuela CARBÉ is an Associate Professor in the Department of Humanities at Ca' Foscari University of Venice, specializing in Contemporary Italian Literature (SSD: LICO-01/A). She is a member of the Venice Centre for Digital and Public Humanities (VeDPH) and teaches courses in the Master's Degree in Digital and Public Humanities, including Modeling and Visualizing Textual Data, Digital Literary Studies, Textual Heritage and Digital Preservation, and Storytelling for Hospitality. Her educational background includes Modern Philology studies at the University of Pavia, where she worked as a research fellow for the Pavia Digital Archives project (2013-2017). Prior to joining Ca' Foscari, she worked at the University of Siena from 2018 to 2025 in various research roles. Dr. CARBÉ's research focuses on the intersection of digital technologies and literary scholarship. Her work spans: Digital Humanities methodologies for literary analysis Preservation and study of literary archives in digital formats Authorial philology in the digital age Modern and Contemporary Italian Literature Textual criticism and digital editions Native digital literary archives Her publications and projects demonstrate a strong commitment to advancing digital approaches to literary scholarship, particularly in creating semantic catalogs for literary archives and studying digitally created literary materials. She has directed major projects including the BiGraFo semantic catalog of Franco Fortini's bibliography and the recovery of native digital material from Franco Fortini's last computer stored on floppy disks. Her notable awards include: AIUCD Giuseppe Gigliozzi Award (2020) for the ELA - Eurasian Latin Archive project Gemma Biroli prize (2015) for her doctoral thesis on Cialente's unpublished war diary Dr. CARBÉ actively contributes to the academic community through editorial roles and research leadership. She serves on the editorial boards of "Strumenti critici" and "L'Ospite ingrato" journals, and is the director of ALDiNa (Native Digital Literary Archives). She has secured research funding for projects including Biblio-graph, SCRIPTA, and SOS-DH, demonstrating her ability to lead significant scholarly initiatives. She also serves on the scientific committee of the Franco Fortini Research Center and the Technical-Scientific Committee of the Manuscript Center of the University of Pavia. Her current research involves the study of native digital literary archives and the development of digital methodologies for literary scholarship, continuing her work on digitally created literary archives through her monograph "Digitale d'autore. Macchine, archivi, letteratura" (2023).
Cecilia Moscardo is a researcher at the Department of Humanities , Ca' Foscari University of Venice . Her work focuses on archaeology, particularly pre-Roman and Etruscan civilizations, employing digital methodologies like BIM for heritage preservation and funerary landscape reconstruction.
Nicola Valentino Canessa serves as an Associate Professor in the Department of Architecture and Design (DAD) at the University of Genoa's Polytechnic School, where he holds dual administrative roles on the Department Board and Joint Teacher-Student Commission. His academic responsibilities span multiple degree programs including Architectural Sciences, Architecture, and Product Event Design. Professor Canessa's research centers on innovative urban planning methodologies, with particular emphasis on multi-scalar design approaches, responsive city systems, and the integration of digital technologies in urban development. His work bridges technical GIS applications with socio-cultural dimensions of urban spaces, addressing contemporary challenges in sustainability and inclusivity. Recent publications reveal a strong focus on practical urban solutions through personalized mobility applications, empathic city frameworks, infrastructural renaturalization strategies, and GIS-based cultural storytelling. These works demonstrate consistent interdisciplinary collaboration with international researchers on projects targeting real-world urban transformation. He actively contributes to the Responsive Open Campus Savona initiative and leads specialized urban planning assignments under the CEAR-12/B framework, connecting academic research with community-oriented urban development practices. Office hours are held Monday mornings from 10-11 by appointment.
Costantino Grana is a Full Professor at the University of Modena and Reggio Emilia's Enzo Ferrari Department of Engineering, where he teaches Multimedia Data Processing and Fundamentals of Computer Science . His research bridges medical imaging, computer vision, and image processing, with applications ranging from healthcare (nephrology, dermoscopy) to digital preservation of cultural heritage. His core research interests include: Algorithms for connected components and medical image segmentation Content-based search systems for images/videos Deep learning applications in diagnostic imaging 3D reconstruction and analysis of medical/cultural artifacts Recent publications (2025) focus on medical image segmentation, real-time barcode detection, and diagnostic AI models, demonstrating strong emphasis on deep learning innovations for healthcare. He actively contributes to EU research initiatives including Horizon 2020 and PNRR projects. Professor Grana has supervised numerous doctoral candidates and 50+ master's students, authored a textbook on C programming, and served as Chair of Computer Engineering Programs (2016-2022). He maintains memberships in IEEE, ACM, and IAPR.
Barbara Marana is a Researcher in Topography and Cartography at the University of Bergamo, School of Engineering, Department of Engineering and Applied Sciences (DISA). She has maintained an active academic career since 2003, progressing from Research Fellow to Confirmed Researcher in 2008, while also serving as an Adjunct Professor for Information Systems for the Territory and Topography courses from 2015-2023. Her educational background includes a Doctorate in Geodetic and Topographic Sciences from the Polytechnic University of Turin (1993-1997) and a Degree in Electronic Engineering with specialization in Automatic Control from the Polytechnic University of Milan (1991). She possesses strong English language skills and has authored over 60 scientific publications throughout her career. Dr. Marana's research focuses on the application of Geomatics technologies to cultural heritage preservation, environmental monitoring, and urban planning. Her work demonstrates particular expertise in GIS applications, LIDAR technology, 3D scanning, and photogrammetry for documenting and analyzing historical sites, military landscapes, and natural environments. She has developed innovative approaches for integrating these technologies to create detailed spatial analyses that support conservation efforts and sustainable development initiatives. Her recent work shows increasing emphasis on interdisciplinary applications, particularly in environmental monitoring and cultural heritage documentation. Analysis of her publication record reveals consistent thematic development across multiple domains: Early work focused on 3D modeling and documentation of archaeological sites in Central Sicily Mid-career publications expanded into military archaeology and LIDAR visualization techniques Recent research demonstrates sophisticated integration of multiple geospatial technologies for environmental applications, including air pollution analysis and climate change impact assessment Dr. Marana has received recognition for her contributions to geospatial science education through innovative teaching methods including challenge-based learning approaches to digital mapping instruction. Her educational work aligns with Sustainable Development Goals 4 (Quality Education) and 11 (Sustainable Cities and Communities). She leads research projects focused on cultural heritage documentation, particularly using 3D scanning and BIM technologies for historical structures, and maintains active collaborations on projects involving the Grotto of Saints in Enna and the Necropolis of Realmese in Calascibetta. Her methodology consistently combines traditional surveying techniques with advanced technologies including terrestrial laser scanning, UAV systems, and multispectral imagery.
Dr. Alicandro Maria is an Associate Professor at the University of L'Aquila, specializing in Geomatics (Academic Field CEAR-04/A) within the Department of Civil, Construction-Architectural and Environmental Engineering. Her research integrates spatial data analysis with civil and environmental engineering applications. She maintains an office at the university's industrial campus in L'Aquila and can be contacted via phone. Research Focus: Her work spans Geomatics, geospatial technology applications, infrastructure modeling, and environmental systems analysis. No specific grants, lab affiliations, or student advisement details are currently available.
Alexander Fuller Viguerie is a Researcher (Ricercatore Legge 240/10 a tempo determinato) at the Department of Pure and Applied Sciences (DiSPeA) at the University of Urbino Carlo Bo. His position involves both teaching responsibilities in mathematical courses and conducting advanced research primarily focused on numerical methods and mathematical modeling. He teaches courses including Logic, Algebra and Geometry; Numerical Methods for Linear Algebra and Functional Analysis; and Statistical Processing of Experimental Data across various programs including Informatics, Digital Innovation, and Biotechnology. Viguerie's research spans multiple interdisciplinary domains with an emphasis on numerical analysis and computational methods. His primary research interests include mathematical epidemiology (particularly modeling of infectious diseases like COVID-19), computational fluid dynamics, partial differential equations, and dynamic mode decomposition techniques. His work demonstrates a strong focus on developing and applying advanced numerical methods to solve complex problems in epidemiology, fluid mechanics, and biomedical applications. He has developed compartmental models with diffusion components for spatially resolved epidemic simulations, created novel approaches using delay differential equations for disease modeling, and applied dynamic mode decomposition to accelerate simulations of cancer growth models. His publication record shows a significant shift toward mathematical epidemiology during the pandemic years, with numerous high-impact papers analyzing the spatiotemporal spread of COVID-19 across different countries. Viguerie has developed modified SEIRD models with dynamic parameterization capabilities, enabling more accurate forecasting of pandemic trajectories. His work extends beyond epidemiology to include applications in computational fluid dynamics, additive manufacturing, and biomedical modeling, demonstrating versatility across multiple application domains while maintaining a strong methodological foundation in numerical analysis. Viguerie maintains an extensive international research network, with collaborations spanning Europe, Asia, North America, and South America. His research shows particularly strong connections with institutions in Italy, the United States, Brazil, Germany, and Singapore. This global collaboration network enables him to conduct cross-country comparative studies, as evidenced by his work analyzing the spread of COVID-19 in Italy, the USA, and Brazil. His research methodology frequently combines theoretical mathematical analysis with practical numerical implementation, resulting in tools that have potential applications in public health decision-making and engineering design processes.
Lorenzo Marrucci is a Professor of Physics at the University of Naples Federico II, working in the Department of Physics “Ettore Pancini”. He leads the SLAM research group (Physics of Structured Light And Matter and of their interaction), focusing on complex structured light and its interaction with matter. His work spans quantum and nonlinear optics, condensed matter physics, and the development of innovative optical devices. Professor Marrucci’s research primarily explores the angular momentum of light , particularly through his invention of the q-plate - a device for generating orbital angular momentum from spin-orbit coupling. His work extends to quantum optics , nonlinear optics , and condensed matter physics , with specific interests in transition metal oxides and liquid crystals . He has made significant contributions to the understanding of structured light, spin-orbit interactions, and topological photonics. His recent publications demonstrate a strong focus on quantum information processing using structured light, particularly through spin-orbit photonics. His work on quantum walks , entangled photon states , and integrated photonic circuits represents cutting-edge research in quantum technologies. The development of liquid-crystal based optical devices for manipulating light’s orbital angular momentum has been a consistent theme throughout his career. Professor Marrucci actively supervises undergraduate, master’s, and doctoral theses, primarily with experimental components. His research group, SLAM, provides opportunities for students to engage in hands-on experimental work including experimental design, data analysis, and theoretical modeling. His laboratory work involves the development of innovative photonic devices, particularly those based on liquid crystals and structured light. The SLAM group maintains facilities for optical experimentation, including laser systems, optical components for structured light generation, and measurement apparatus for characterizing light’s properties.
Emanuela Dreassi is a Full Professor of Statistics at the University of Florence, where she currently serves as Director of the Department of Statistics, Computer Science, and Applications 'G. Parenti' (DiSIA) from November 1, 2024, to October 31, 2028. She is affiliated with the School of Economics and Management and has held various institutional roles including Director of the Bachelor's Program in Statistics (2014-2022) and Vice-President of the School of Economics and Management (2019-2022). Her research spans hierarchical Bayesian models and spatial statistics, with methodological advancements in specifying and estimating models for multilevel data, missing data, and latent variable models. She has made significant contributions to robust analysis in small area estimation, compatibility of conditional distributions, semicontinuous data modeling, Bayesian predictive inference, and knockoffs construction. Her work bridges theoretical statistics with practical applications in epidemiology, environmental studies, and medical research. Dreassi's recent publications (2020-2025) reveal a strong focus on methodological innovations in Bayesian statistics, spatial analysis, and knockoff filters for variable selection. She has published extensively in top statistical journals while also collaborating on interdisciplinary research in medical fields including plastic surgery and epidemiology. Her work demonstrates a consistent trajectory of advancing statistical methodology while maintaining strong connections to real-world applications across multiple domains. As an active referee for numerous prestigious journals including Biometrics, Journal of the Royal Statistical Society, and Statistics in Medicine, Dreassi contributes significantly to the scholarly community. She has coordinated research units for PRIN and HORIZON2020 projects and participated in numerous national and international conferences as organizer, scientific committee member, and session chair.
