جستجوی استاد راهنمای دانشگاهی

• deep learning
• convolutional neural network
• deep features
• +۵ مورد دیگر

Fabrizio Falchi is a researcher at the Artificial Intelligence for Media and Humanities (AIMH) Lab of the Institute of Information Science and Technologies (ISTI) within Italy's National Research Council (CNR). He also maintains an associate position at the Biorobotics Institute of Scuola Superiore Sant'Anna. His work focuses on developing advanced multimedia retrieval systems, with the VISIONE platform being his most notable contribution, which has won international competitions including the Video Browser Showdown in 2024 and placed second in 2023. Falchi's educational background includes: Ph.D. in Information Engineering from University of Pisa (Italy) Ph.D. in Informatics from Faculty of Informatics of Masaryk University of Brno (Czech Republic) M.B.A. from Scuola Superiore Sant'Anna in Pisa His research spans deep learning, convolutional neural networks, deep features extraction, similarity search algorithms, distributed indexing systems, multimedia information retrieval, computer vision applications, and peer-to-peer systems. Falchi has made significant contributions to fine-grained visual understanding, cross-modal retrieval (particularly image-text matching), and robustness of deep learning systems against adversarial attacks. His work demonstrates a strong focus on practical applications of these technologies, particularly in video retrieval systems and safety monitoring solutions. Analysis of Falchi's recent publications reveals a strong focus on video and image retrieval systems, with the VISIONE platform being central to his work. His research shows increasing emphasis on fine-grained understanding in computer vision, cross-modal retrieval, and addressing practical challenges like cross-resolution face recognition. Recent work demonstrates innovation in making these systems more efficient through techniques like knowledge distillation (ALADIN) and leveraging virtual worlds for training data. His publications consistently bridge theoretical advances with practical applications in surveillance, safety monitoring, and multimedia search. Falchi's work has received significant recognition: Best paper award at CBMI 2024 for 'Is ClLIP the main roadblock for fine-grained open-world perception?' VISIONE 2024 won the Video Browser Showdown competition in Amsterdam VISIONE obtained second place at Video Browser Showdown 2023 in Bergen Best Paper Award for 'Learning Safety Equipment Detection using Virtual Worlds' at CBMI 2019 Falchi collaborates extensively with researchers at ISTI-CNR, particularly within the AIMH Lab. His work on VISIONE involves collaboration with Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, and Claudio Vairo. As co-chair of Ital-IA 2023, the 3rd National Conference on Artificial Intelligence, he plays an active role in the academic community. He is a member of ACM (since 2012), the Computer Vision Foundation, the Italian Association for Computer Vision Pattern Recognition and Machine Learning (CVPL), and the CINI Lab on Artificial Intelligence and Intelligent Systems. Falchi is a key member of the Artificial Intelligence for Media and Humanities (AIMH) Lab at ISTI-CNR, where he leads research on video retrieval systems. The lab has developed the award-winning VISIONE platform, which combines multiple scientific results in content-based video retrieval. His team focuses on developing systems that enable users to search for target videos using textual prompts, drawing objects and colors, or images as query examples. The lab's work demonstrates strong interdisciplinary collaboration, bridging computer science with practical applications in media, safety monitoring, and urban environments.

• Engineering Drawing
• Building Information Modeling (BIM)
• Geographic Information Systems (GIS)
• +۱۲ مورد دیگر

Maurizio Marco Bocconcino is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino. He is a member of the Interdepartmental Center R3C (Responsible Risk Resilience Center) and serves as Coordinator of basic subjects for the 2nd year of Engineering. His academic work bridges civil engineering and architectural design, with a strong focus on representation and digital modeling. His research interests include engineering drawing, territorial and urban surveying, geographic information systems (GIS), Building Information Modeling (BIM), data representation, and tools for urban and social regeneration. He investigates methods for surveying historic buildings, urban resilience, and the integration of digital technologies in heritage and urban planning. His work is aligned with UN Sustainable Development Goals 11 and 17, emphasizing sustainable cities and collaborative research. Bocconcino's recent publications explore digital archives for academic heritage, analog artifacts in engineering education, urban form, LEAN-BIM integration, and the visualization of social impact. His research outputs span journals such as DISEGNO , International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , and AGATHÓN , as well as conference proceedings in representation and urban planning disciplines. He is actively involved in research projects, including the EU-funded MAINCODE project on urban climate shelters and multiple commercial consulting contracts as Scientific Manager, focusing on urban and social regeneration. His teaching responsibilities include courses in engineering drawing, digital modeling, and graphic language across Civil, Environmental, and Building Engineering programs. Bocconcino collaborates with researchers such as Mariapaola Vozzola, Giorgio Garzino, Martino Pavignano, and Fabio Manzone. His affiliations with ERC sectors highlight expertise in civil engineering, computational modeling in culture, computer graphics, design, and information systems.

Beppe Liottaمشاهده پروفایل

استاد

• Network Analysis
• Graph Drawing
• Data Visualization
• +۵ مورد دیگر

Beppe Liotta is a Full Professor at the Department of Engineering, University of Perugia. He serves as Rector Delegate for ICT and Digital Agenda. His research spans network discovery, graph drawing, algorithm engineering, and computational geometry . Laurea in Electrical Engineering (1990), Ph.D. in Computer Engineering (1995), both from University of Rome 'La Sapienza' Post-doc at Brown University (1995-1996) Current teaching: Information Visualization and Database Management Systems Liotta has authored over 170 papers and led projects like VisFAN (financial crime detection), VHyXY (large graph visualization), COWA (web traffic analysis), and WhatsOnWeb (web clustering). His work focuses on hybrid visualizations and network robustness . Recent articles highlight his expertise in biological networks , financial activity networks , and one-to-many matched graph visualizations . He has contributed to journals like IEEE Transactions on Visualization and Computer Graphics and conferences including PacificVis and Graph Drawing . Liotta actively participates in scientific service, including editorial roles for the Journal of Graph Algorithms and Applications and program committees for IEEE PVIS 2019.

• Algorithms on strings
• Formal language theory
• Bioinformatics
• +۳ مورد دیگر

Chiara Epifanio is a researcher (INFO-01/A) at the University of Palermo , based in the Department of Mathematics and Computer Science . She holds regular office hours on Tuesdays 14:30–17:00 in Room 104, first floor, Via Archirafi 34, and can be reached at chiara.epifanio@unipa.it . Over the past fifteen years she has designed and taught a diverse portfolio of courses spanning Programming , Bioinformatics , Advanced Programming , Teaching Methodologies and Techniques for Computer Science and Pattern Discovery for Life Sciences . These offerings serve degree programmes in Mathematics, Computer Science, Statistics & Data Science, and the recently launched curricula in Data, Algorithms & Machine Intelligence and Computer Science & Artificial Intelligence . Her research lies at the intersection of combinatorics on words , string algorithms , and bioinformatics . She has made sustained contributions to the design of alignment-free distances for biological data, the theory of Sturmian words and their associated graphs, suffix automata tolerant to mismatches, and compact data structures such as linear-size suffix tries. The work repeatedly draws on deep results from formal language theory, automata theory, and discrete mathematics to solve practical problems in sequence analysis. Publications trend: From 2004 onward she has produced a steady stream of peer-reviewed articles that move from foundational combinatorial results on Sturmian words and critical factorization theorems toward application-driven studies on approximate string matching and genomic data mining. A marked acceleration is visible in the 2023 publications addressing k-Hamming and k-edit distances, reflecting current demands in large-scale biological data analytics. Scientific awards: None explicitly mentioned in the provided material. Advising & grants: No PhD or Master’s students are listed in the supplied pages, and no funded project descriptions are available. Laboratories & teams: While no specific lab is named, her teaching and research are embedded within the Department of Mathematics and Computer Science, which hosts groups in algorithms, discrete mathematics, and bioinformatics, and provides access to the university’s ATeN Center and other research infrastructures.

Fabrizio Montecchianiمشاهده پروفایل

دانشیار

• Graph Drawing
• Graph Algorithms
• Computational Geometry
• +۴ مورد دیگر

Fabrizio Montecchiani is an Associate Professor at the University of Perugia's Department of Engineering. He holds a Ph.D. in Computer Engineering from the same university (2014). His research focuses on graph drawing, algorithms, computational geometry, and information visualization with applications to Big Data. He coordinates the Large-scale Data Analysis & Visualization Lab (LDAV LAB), part of the national CINI Big Data Laboratory since 2019. Education: Ph.D. in Computer Engineering, University of Perugia, 2014 Research Interests: Graph Drawing and Algorithms Computational Geometry Visual Analytics and Information Visualization Algorithm Engineering for Big Data His work bridges theoretical foundations with practical applications in network visualization, data science, and algorithm design. Grants & Awards: Principal Investigator for MIUR, PRIN 2022 grant (NextGRAAL) Recipient of the 2022 National Scientific Habilitation for full professorship 2021 Best Young Italian Researcher Award in Theoretical Computer Science 2021 Best Paper Award at GD Teaching & Leadership: Lectures on Computational Models, Software Engineering, and Big Data Co-founder of CONTATTI Srl (2017), a spin-off for tourism-focused ICT solutions Editorial roles at Journal of Graph Algorithms and Applications and Computational Geometry His contributions extend to academic leadership, including organizing major conferences like GD and EuroCG. Technology Transfer: Co-founder of Vis4 Srl (2009), working on visualization solutions for financial and marketing domains Collaborations with institutions like the Financial Intelligence Agency (San Marino) and Fabrica (Benetton Group)

• Graph Algorithms
• Graph Problems from Computational Biology
• Graph Problems from Sensor and Ad-Hoc Wireless Networks
• +۳ مورد دیگر

Tiziana Calamoneri serves as a Full Professor within the Department of Computer Science at Sapienza University of Rome. Her academic appointment is active, with office hours held at Viale Regina Elena, 295 (Building E), 2nd floor, room 207. She can be reached via email at calamo@di.uniroma1.it and by telephone at +39.06.49255.424 (extension 36424). Professor Calamoneri's research is centered on graph theory and its diverse applications. Her primary interests include: Graph Algorithms Graph Problems arising in Computational Biology Graph Problems in Sensor and Ad-Hoc Wireless Networks Applicable discrete mathematics Interconnection Topologies Graph Drawing She maintains a specialized online resource for L(h,k)-labeling problems. While specific details on graduate student advising and research grants are not provided in the source material, her work represents significant contributions to theoretical computer science and applied discrete mathematics. Additionally, she serves as the Faculty Contact for Students with Disabilities and Specific Learning Disorders at her institution.

• Drawing for construction and environmental engineering
• Territorial, urban, architectural and environmental survey
• Territorial, urban and environmental information systems (geodatabases)
• +۱۳ مورد دیگر

Mariapaola Vozzola is a fixed-term researcher at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin. She is a member of the Interdepartmental Center R3C - Responsible Risk Resilience Center and actively contributes to research and teaching in architectural and urban drawing, digital modeling, and sustainable urban regeneration. Research Interests: Drawing for construction and environmental engineering Urban, territorial, and architectural surveying Geodatabases and urban information systems BIM and CIM for sustainable design Graphic representation of urban resilience and environmental comfort Digital modeling for cultural heritage Research Trends from Publications: Her recent publications (2023–2025) reflect a strong focus on the intersection of digital modeling (especially BIM), urban resilience, and cultural heritage. She explores graphical tools for measuring urban resilience, digital twins for academic heritage, adaptive reuse in housing, and the role of drawing in post-war urban reconstruction. Her work bridges technical engineering with cultural and social dimensions of urban design. Scientific Awards and Recognitions: RIMINI SCHOOL 2025 “SUCCESSFULLY PARTICIPATE IN CALLS FOR RESEARCH FUNDING” Effective communication with businesses Learning to Teach (L2T) Didattica Advising and Grants: Mariapaola Vozzola is the course leader for several Master's level courses in Building Engineering, including 'Survey and drawing design for urban refurbishment at sustainable transition' and 'Il disegno per il rilievo e progettazione della resilienza urbana'. She is a member of the research group for the MAINCODE project (2025–2027), funded under the EU’s Driving Urban Transitions initiative, which focuses on co-designing urban climate shelters in schoolyards. She collaborates extensively with peers such as Maurizio Marco Bocconcino and Giorgio Garzino. Labs and Research Centers: She is affiliated with the Interdepartmental Center R3C (Responsible Risk Resilience Center), which supports interdisciplinary research on urban risk, resilience, and sustainable development.

• Urban Resilience
• Architectural Drawing
• Building Information Modeling (BIM)
• +۴ مورد دیگر

Giorgio Garzino is a Full Professor at the Polytechnic University of Turin, affiliated with the Department of Structural, Building and Geotechnical Engineering (DISEG) and the Interdepartmental Centre R3C - Responsible Risk Resilience Centre. He serves as a Building Program Management Advisor and holds roles in collaborative agreements with public institutions. His teaching responsibilities include courses on urban resilience design, sustainable urban refurbishment, and climate-responsive heritage analysis within the Master's Degree in Building Engineering. Research interests focus on Urban Resilience, Architectural Drawing, and BIM interoperability. He leads projects on hospital construction modularity, post-war urban transformation, and digital heritage tools. Key collaborations involve the Piedmont Region and healthcare authorities for hospital infrastructure development. Projects include the redevelopment of San Biagio Hospital in Domodossola and the new Alessandria Hospital facility, emphasizing resilience and sustainability. Publications span topics like hospital design optimization, urban vulnerability mapping, and historical preservation. Garzino actively contributes to international conferences on architectural representation and resilient urban planning, integrating technical precision with historical context.

Alessandra Tappiniمشاهده پروفایل

استادیار

• graph drawing
• graph algorithms
• computational geometry
• +۲ مورد دیگر

Alessandra Tappini is a tenure-track Assistant Professor at the University of Perugia, Italy, since March 2025. Previously, she served as a Postdoctoral Researcher at the same institution from 2020 to 2025 and completed a visiting Ph.D. stint at the University of Tübingen, Germany (2018-2019). Her academic background includes: Ph.D. in Industrial and Information Engineering (2020), University of Perugia Master's degree cum laude in Computer and Automation Engineering (2016), University of Perugia Her research concentrates on graph theory applications, geometric computation, and data visualization methodologies. Key areas involve developing algorithms for structural data representation, spatial analysis frameworks, and interactive systems for complex information interpretation, with strong emphasis on computational efficiency and visual cognition principles.

Giordano Da Lozzoمشاهده پروفایل

دانشیار

• Algorithm Design
• Graph Drawing
• Computational Geometry
• +۵ مورد دیگر

Giordano Da Lozzo is an Associate Professor at Roma Tre University in Rome, Italy, where he is part of the Graph Algorithms and Network Visualization research group. His academic career spans theoretical computer science with a focus on practical applications in graph theory and network analysis. His educational background includes: Associate Professor Habilitation (09/H1 - Information Processing Systems), from 2022 to 2031, awarded by the Italian Ministry of Education, Universities and Research (MIUR) PhD in Computer Science and Automation Engineering, 2015, from Roma Tre University MEng in Computer Science (110/110 cum laude), 2010, from Roma Tre University Da Lozzo's research lies at the intersection of algorithm engineering and computational complexity, with particular focus on graph and network analysis and visualization. His work spans several interconnected fields including graph drawing, computational geometry, topology, combinatorics, parameterized complexity, and more recently quantum computing applications to graph problems. His research combines theoretical rigor with practical implementation considerations, aiming to develop efficient algorithms for real-world network analysis challenges. His publication record shows a consistent focus on graph drawing problems, with recent work expanding into quantum approaches to graph visualization. His research demonstrates progression from foundational graph theory problems toward more complex constrained visualization scenarios, often addressing NP-hard problems with novel algorithmic approaches. His scientific achievements have been recognized with several prestigious awards: Best Student Paper Award at the 18th International Conference and Workshops on Algorithms and Computation (WALCOM 2024) Best Paper Award at the 14th International Symposium on Parameterized and Exact Computation (IPEC 2019) Best Paper Award at the 42nd International Conference on Current Trends in Theory and Practice of Computer (SOFSEM 2016) Best Poster Award at the 23rd International Symposium on Graph Drawing & Network Visualization (GD 2015) Best MCS Thesis Award by Confindustria Servizi Innovativi e Tecnologici–AICA (CSIT 2011) Da Lozzo actively mentors PhD students including Giordano Andreola (working on constrained graph embeddings, expected 2025) and Susanna Caroppo (working on quantum graph drawing, 2023). His research is supported by multiple grants including AHeAD (funded by the Italian Ministry of University and Scientific Research), CONNECT (funded by EU Horizon 2020 Programme), MODE, STACS (funded by the U.S. Defense Advanced Research Projects Agency), AMANDA, NextGRAAL, GraDR, and AlgoDEEP. He is a key member of the Graph Algorithms and Network Visualization research group at Roma Tre University, which focuses on developing efficient algorithms for networked data analysis and visualization. The group collaborates internationally on projects addressing both theoretical and practical challenges in graph representation.

Walter Didimoمشاهده پروفایل

استاد

• Graph Drawing
• Network Visualization
• Information Visualization
• +۷ مورد دیگر

Walter Didimo is a Full Professor of Computer Engineering at the University of Perugia, with a career spanning over two decades. His expertise lies in Graph Drawing, Network Visualization, and Algorithm Engineering, contributing to advancements in Computational Geometry and Big Data. Researcher in Graph Algorithms (1996-2000) Assistant Professor (2001-2004), Associate Professor (2005-2024), Full Professor (2024-) Director of Research Unit CINI (2019-2022) His research focuses on hybrid graph visualization models (e.g., ChordLink), distributed graph processing (e.g., GiViP), and practical applications in cultural heritage (e.g., CHIP) and web analytics (e.g., COWA). Recent work includes scalable algorithms for heterogeneous networked data and visual analytics for genomics (GGB Consortium). Scientific Awards: Best Paper Award - Track 2, Graph Drawing 2021 He has been instrumental in technology transfer, co-founding Vis4 Srl (2009) and contributing to the GGB Consortium. His editorial roles include Associate Editor of IEEE Access and guest editorships for CGTA and JGAA.

Annalisa Massiniمشاهده پروفایل

دانشیار

• Mobile sensor networks
• Interconnection networks
• Hybrid systems verification
• +۳ مورد دیگر

Annalisa Massini serves as Associate Professor in the Department of Computer Science at the University of Rome "La Sapienza", a position she has held since November 2001 following her appointment as Assistant Professor from 1996-2001. Education: 1989: Degree in Mathematics, University of Rome "La Sapienza" 1993: Ph.D. in Computer Science, University of Rome "La Sapienza" Research Focus: Her scholarly work centers on Mobile sensor networks and Interconnection networks , with significant contributions to Hybrid systems verification . Her research portfolio extends to Parallel computing methodologies, Computer arithmetic techniques, and innovative approaches to Graph drawing , demonstrating comprehensive expertise across theoretical and applied computer science domains. Academic Contributions: Dr. Massini teaches foundational courses including Digital Systems Design (formerly Computer Architecture I), Computer Architecture (formerly Computer Architecture II), and Intensive Computation. She supervises Bachelor's and Master's thesis projects, maintaining office hours by email appointment from her office in Building E (Viale Regina Elena 295), 2nd floor, room 206.

• Computer Networks
• Graph Drawing
• Information Visualization
• +۸ مورد دیگر

Maurizio Patrignani is a Full Professor of Computer Science at the Department of Civil, Computer and Aeronautical Engineering at Roma Tre University, where he has served since May 2017. Since November 2022, he has also held the position of Chair of the Computer Science and Engineering Faculty Board. His academic journey began with a "Laurea" degree in Electronic Engineering from the University of Rome "La Sapienza" in 1996, followed by a Ph.D. in Computer Science from the same institution in 2001. Patrignani's research spans multiple areas within computer science, with a strong focus on graph-related disciplines. His primary research interests include Computer Networks, Graph Drawing, Information Visualization, and Computational Geometry. He has developed expertise in Dynamic Graph Drawing, Orthogonal Drawings, Planarity and Planar Graphs, Upward Planarity, and Data Center Networking. His work often bridges theoretical computer science with practical applications, particularly in network visualization and analysis. The analysis of Patrignani's recent publications reveals a consistent focus on graph theory and its applications. His work demonstrates expertise in planar graph embeddings, orthogonal drawings, and upward planarity. Recent publications show increasing attention to practical applications of graph theory in network visualization, data center networking, and route planning. His research combines theoretical algorithm design with experimental validation and user studies, reflecting a comprehensive approach to solving complex problems in graph drawing and network analysis. Patrignani has been actively involved in numerous research projects throughout his career, including EU-funded initiatives like DELIS (Dynamically Evolving, Large Scale Information Systems) and GraDR (Graph Drawings and Representations), as well as national projects funded by MIUR. His collaborative work spans multiple institutions and researchers across Europe and beyond, demonstrating his significant role in the international computer science community. He has served on numerous program committees for major conferences in graph drawing and visualization, including the International Symposium on Graph Drawing (GD) where he was co-chair for GD 2008 and GD 2012. His organizational contributions extend to the Summer Workshop on Graph Drawing (SWGD) where he has been a member of the organizing committee since 2021. Patrignani's teaching portfolio at Roma Tre University includes courses on Algorithms and Data Structures, Computer Networks, Information Visualization, and Big Data Algorithms.