جستجوی استاد راهنمای دانشگاهی

• Educational Linguistics
• Italian Language Teaching
• Multilingual Education
• +۳ مورد دیگر

Yahis Martari is an Associate Professor at the Department of Classical Philology and Italian Studies, University of Bologna. His academic discipline is GLOT-01/B Educational Linguistics. He specializes in language education, multilingualism, and applied linguistics, with a focus on teaching Italian as a second language and the role of popular culture in language learning. His research includes studies on multilingual student populations, linguistic assessment methodologies, and the integration of music (e.g., rap, trap) into language pedagogy. He is affiliated with the CRDI (Centro di Ricerca per la Didattica dell'Italiano), established in 1981, which promotes research on Italian language and literature teaching in schools. His work emphasizes the importance of explicit spoken language instruction for university students and explores how digital tools and contemporary cultural phenomena shape language acquisition. Teaching responsibilities include courses in Linguistics and Italian Language Teaching. He actively contributes to academic conferences and journal publications, focusing on topics such as language variation in university writing, intercultural education, and the sociolinguistic dynamics of multilingual families. His research also addresses challenges in linguistic evaluation, including subjective factors in oral performance assessment and the development of culturally responsive pedagogical strategies. He maintains an active presence in educational communities through the CRDI, offering guidance to students and professional development opportunities for teachers.

Sabrina Lucchettiمشاهده پروفایل

مدرس

• Molecular Biology
• Plant Genetics
• Food Chemistry
• +۳ مورد دیگر

Sabrina Lucchetti is a Lecturer in General and Cellular Biology at UniCamillus - Saint Camillus International University of Health Sciences. She contributes to the BSc Biomedical Laboratory Techniques program (L/SNT-3) under the BIOS-10/A course code. Educational Background: Bachelor's degree in Biological Sciences (1991), University of Rome La Sapienza PhD in Food Biotechnology (2012), University of Tuscia, Viterbo Masters in Nutrition for Wellness, Health and Sport (2015), Catholic University of the Sacred Heart Masters in Dietetics and Nutrition (2018), Catholic University of the Sacred Heart Specialist in Healthy Habits (2019), Healthy Habits Academy Research Focus: Sabrina's research spans molecular biology, food chemistry, and nutritional science. Her early career focused on isolating and characterizing plant development genes (ATHB family) in Arabidopsis thaliana . Since 2005, she has specialized in food fat analysis, refining classical chemical-analytical methods for edible oil classification. Her work integrates molecular biology techniques (microsatellite markers) with food matrix fingerprinting for product identification. Recent research explores the pathophysiological interactions between nutrients and human health, emphasizing dietary prevention strategies. Professional Affiliation: She has been affiliated with CREA (formerly INN/INRAN) since 1991, transitioning from plant molecular biology projects (1991-2004) to food chemistry and nutritional studies.

• High Performance Computing
• Sparse Matrix Computations
• Parallel Computing
• +۳ مورد دیگر

Michele Martone is a Researcher at the High Performance Systems Division of the Leibniz Supercomputing Centre (LRZ) in Garching, Germany. His work focuses on High Performance Computing (HPC) , sparse matrix computations , and code restructuring techniques , with a strong emphasis on OpenMP/MPI parallelization and semantic patching using the Coccinelle tool. Research Interests : HPC, automated code restructuring, sparse matrix optimization, semantic patching, and free/open source software (FLOSS) development. Key Tools : Author of the librsb library for sparse matrix operations, SparseRSB for Octave, PyRSB for Python integration, and the FIM image viewer. Publications : His recent work includes semantic patching for HPC refactorings, Coccinelle-based tooling, and performance optimization of sparse linear algebra libraries. Teaching : Delivers trainings and talks on Coccinelle, OpenMP/MPI, and FLOSS at events like HIPS25 , FOSDEM , and deRSE conferences. Advocacy : Strongly promotes free software, transparency in science, and public access to code developed with taxpayer funding.

Daniel Casiniمشاهده پروفایل

استادیار

• Real-Time Systems
• Embedded Systems
• Scheduling Algorithms
• +۳ مورد دیگر

Dr. Daniel Casini is an Assistant Professor at the Department of Information Engineering and Computer Science, Sant'Anna School of Advanced Studies. His academic journey includes a PhD (2016–2019) and postdoctoral research (2019–2021) in Real-Time Systems. He specializes in real-time scheduling algorithms, edge computing, and embedded system predictability. His work focuses on optimizing latency, resource allocation, and security in cyber-physical systems. Education: PhD in Computer Science, Sant'Anna School of Advanced Studies (2016–2019) Postdoctoral Researcher in Real-Time Systems (2019–2021) Research Interests: Real-Time Scheduling (Partitioned/EDF/Gang Scheduling) Edge Computing and Predictable Virtualization Middleware Optimization (DDS/ROS 2) Hardware-Software Co-Design for Cyber-Physical Systems Security-Temporal Trade-offs in Critical Systems Key Contributions: Developed MATERIAL framework for edge real-time applications on QNX RTOS Pioneered analysis of QNX IPC predictability and Linux kernel noise Designed latency-optimized thread chains for DDS middleware Awards: IEEE TCCPS Early-Career Award 2023 Labs/Teams: Active contributor to the SPHERE project, developing heterogeneous multi-SoC architectures for next-gen cyber-physical systems.

• Italian Sign Language (LIS) Education
• Sign Language Linguistics
• Bilingualism in Deaf Education
• +۳ مورد دیگر

Maria Tagarelli De Monte is a contract professor of Italian Sign Language (LIS) at the University of International Studies of Rome (UNINT) since 2015 and teaches General Linguistics at the University of Pisa's International Programme in Humanities since 2023. She holds a PhD in Linguistics from University of Roma Tre (thesis on linguistic simplification in LIS signers) and a Bachelor's in Communication Sciences from University of Siena with research in cognitive sciences. Her work focuses on LIS education, accessibility technologies, and bimodal bilingualism in deaf populations. Research: Coordinated EU projects like Sign-LEF (CEFR adaptation), SWING 2.0 (digital inclusion), and Free Technology Signs. Co-director of ISSR's research department (2009-2022). Affiliations: Coordinates EALTA's SIG for SIGN, member of São Paulo's LISCO group, and founder of OSSMED observatory. Her research spans LIS pedagogy, sign language grammar, affordance theory in language learning, and accessibility policies. Recent work emphasizes digital literacy among deaf populations and CEFR adaptation for sign languages. Awarded the Best Presentation Award at ICSLA 2024 for her work on linguistic simplification in deaf adult writing. Publications include monographs on linguistic interference in deaf writing and peer-reviewed articles on sign language structure, e-learning platforms for deaf education, and accessibility frameworks. Active in multiple international research networks and project management roles.

• Wireless Networks
• Vehicular Communications
• Network Coding
• +۷ مورد دیگر

Qingyang Song is a professor in the field of Computer Science and Engineering, focusing on wireless networks and vehicular communications. His research spans topics such as network selection, resource allocation, and fault-tolerant routing mechanisms across heterogeneous systems, including UMTS, wireless LAN, and vehicular networks. While his institutional affiliations are not explicitly stated in the provided text, his collaborative work with researchers like A. Jamalipour and Lei Guo highlights his contributions to next-generation network optimization. His research interests include Network Coding , Software Defined Networking (SDN) , 5G Systems , and Energy Efficiency . He has pioneered techniques to balance user preferences with network conditions, reducing handoffs and improving connectivity. Recent work explores UAV-assisted networks, quantum-inspired reinforcement learning for wireless VR, and secrecy rate optimization in IRS-aided SWIPT systems. Qingyang Song's publications reflect a strong emphasis on Engineering and Computer Science disciplines, particularly in vehicular communications, spectrum sharing, and hybrid routing frameworks. His work has been featured in IEEE journals and conferences, including IEEE Transactions on Vehicular Technology and IEEE Wireless Communications .

Roberto Marmoمشاهده پروفایل

استاد

• Computer Vision
• Artificial Intelligence
• Social Media Mining
• +۴ مورد دیگر

Roberto Marmo is a Professor of Computer Science at the University of Pavia since the 2022/23 academic year. His research spans multiple domains including Artificial Intelligence , Computer Vision , and Social Media Mining . He earned his PhD in Information Engineering at Pavia's Computer Vision and Multimedia Lab after completing a Computer Science degree at the University of Salerno. Core Expertise: Data Science, AI Algorithms, Scientific Visualization Industry Applications: Anti-fraud Systems, Tourism Analytics, Transportation Sign Recognition His academic work demonstrates consistent interdisciplinary innovation: 2020: Encyclopedia contributions on Cybersecurity and Social Engineering 2017: Market analysis through social media mining 2010: Social network architecture research Key collaborations include: IBM's Web 2.0 Security Encyclopedia Italian Tourist Railways Association (application of IT to heritage tourism) Academic-Industry Partnerships in transportation sign recognition His technical contributions include: Neural network applications in geological analysis Operational risk visualization frameworks SOS gesture recognition systems e-learning performance dashboards Available for consulting and training services in AI, data analysis, and scientific visualization.

Alessandra Gentileمشاهده پروفایل

استاد

• Arboriculture
• Agricultural Genetics
• Tree Crops
• +۲ مورد دیگر

Alessandra Gentile is a Full Professor at the Department of General Arboriculture and Tree Crops, University of Catania, Italy. Her academic focus lies in the fields of arboriculture, agricultural genetics, and tree crops, with a particular emphasis on plant genetics and horticultural practices. Research Interests Arboriculture techniques and innovation Genetic improvement of tree crops Plant genetics and biodiversity conservation Sustainable horticultural practices Contact & Office Email: alessandra.gentile@unict.it Office: Via Santa Sofia 100, Building C, 1st floor Office hours: Wednesday and Friday 9:00–10:00 (Teams platform code: p3ow5y8)

• Software Engineering
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Fabio Palomba is an Associate Professor at the Department of Computer Science , University of Salerno, Italy. He earned a European PhD in Management & Information Technology (2017), funded by University of Salerno and University of Molise, under advisor Prof. Andrea De Lucia. His research spans software maintenance and evolution , empirical software engineering , and ML systems quality . Recipient of IEEE Computer Society Best PhD Thesis Award (2017) Multiple Distinguished Paper Awards from ACM/SIGSOFT and IEEE/TCSE Recipient of prestigious SNSF Ambizione grant (2019) and IEEE Rising Star Award (2023) His work investigates fairness-aware practices in ML , technical debt in AI systems , and LLM applications in software engineering . Recent studies focus on automated requirements generation via RECOVER, quantum software engineering , and socio-technical community smells in ML-enabled systems, with empirical analyses across large datasets. Key editorial roles include Elsevier's Information and Software Technology Journal (2022-), Springer's Empirical Software Engineering Journal (2021-), and IEEE Transactions on Software Engineering (2020-). He has served as program co-chair for SANER 2024 , ICPC 2021 , and multiple conference tracks. 16 Distinguished Reviewer Awards for his refereeing work Co-authored 80+ journal papers , 100+ conference papers , and advised 300+ theses

Giovanna Guerriniمشاهده پروفایل

دانشیار

• Data Management
• Large Scale Data Management
• Semantic Data Management
• +۱۵ مورد دیگر

Giovanna Guerrini is an Associate Professor in the Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at the University of Genoa, Italy. She is actively involved in research, teaching, and academic service, with leadership roles in major conferences such as EDBT (Executive Board Member and Treasurer), SOFSEM (Track Chair), and UMAP (Workshop Chair). Her research interests include: Data Management Large Scale and Semantic Data Management Approximate and Adaptive Query Processing Linked Data and Ontology Matching Graph Matching and Geospatial Ontologies Spatio-Temporal Data and Location Inference Computer Science Education and Computational Thinking Her recent publications show a growing focus on computer science education, particularly in using gamified and extended reality environments, Sonic Pi for teaching concurrency, and AI-driven tools for enhancing computational thinking. This reflects a shift toward pedagogical innovation and student-centered learning methodologies. She has been recognized through active participation in top-tier program committees (SIGMOD, ISWC, ICDE) and organizing key workshops and schools (EDBT School 2017, APCSE at UMAP). No formal scientific awards are listed in the provided text. She advises multiple PhD students, both current and past, and contributes to academic grants and collaborative projects, particularly in database education and data science initiatives. She is affiliated with research groups including the DaMA Research Group, Data Science and Engineering Research Program, Big Data Interest Group UniGe, and CINI Big Data Research Lab.

Flaminia Luccioمشاهده پروفایل

دانشیار

• Computer Security
• Cryptography
• Distributed Systems
• +۳ مورد دیگر

Flaminia Luccio is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. Her research focuses on computer security, cryptography, distributed systems, and usability engineering. She has contributed to projects like the SAFE PLACE IoT security initiative and the FWS firewall analysis tool. Luccio teaches courses such as Cryptography and Advanced Algorithms at both undergraduate and graduate levels. Research: Her work spans formal verification of cryptographic protocols, secure IoT implementations, and usable security solutions for QR codes and biometric authentication. She has led projects involving secure hardware configuration for cloud environments and resilient firewall management systems. Recent contributions address side-channel vulnerabilities and malware detection through machine learning. Teaching: Courses include Cryptography (Master's), Algorithms and Data Structures (Bachelor's), and Web Technologies for Tourism (Master's). Teaching materials are accessible via her departmental website and personal profile. Collaborations: Collaborates with researchers like Riccardo Focardi on cybersecurity frameworks. Engages in interdisciplinary projects combining accessibility with technology, such as improving tourism websites for users with disabilities.

Luca Olivieriمشاهده پروفایل

پژوهشگر

• Blockchain Technology
• Software Verification
• Cybersecurity
• +۳ مورد دیگر

Luca Olivieri is a Researcher at the Department of Environmental Sciences, Computer Science and Statistics at Ca' Foscari University of Venice. His research focuses on blockchain technology, software verification, and cybersecurity, with particular emphasis on static analysis of smart contracts and distributed ledger systems. He is affiliated with the Research Institute for Complexity and teaches courses on computer programming and software verification at both undergraduate and doctoral levels. His research interests include blockchain interoperability, smart contract security, privacy-preserving technologies, and compliance with regulations such as the EU Data Act and GDPR. He has contributed to the development of static analysis tools like GoLiSA and MichelsonLiSA, which address challenges in ensuring determinism, data integrity, and vulnerability detection in blockchain ecosystems. Recent work explores cross-chain verification, phantom reads in Hyperledger Fabric, and the integration of general-purpose programming languages (e.g., Go, Java) into blockchain development. His publications appear in venues such as ACM SAC, IEEE Access, and the International Journal on Software Tools for Technology Transfer, reflecting a strong focus on both theoretical advancements and industrial applications. Collaborations with peers like Agostino Cortesi, Fausto Spoto, and Pietro Ferrara highlight his engagement in interdisciplinary research addressing cutting-edge topics in blockchain software engineering and formal verification.

Amleto Di Salleمشاهده پروفایل

استادیار

• Software Engineering
• Model-Based Software Engineering
• Distributed Systems
• +۷ مورد دیگر

Amleto Di Salle is an Assistant Professor at the Gran Sasso Science Institute in Italy, specializing in Software Engineering , with a focus on Software Architecture , Model-Based Engineering , and Technical Debt . He previously served as a Research Fellow at the European University of Rome and earned a Ph.D. in Computer Science from the University of L’Aquila in 2015. Research Interests : Software Architecture Model-Driven Software Engineering Distributed Systems Composition Technical Debt and Code Smells Self-Adaptive Systems Digital Twins Recent Publications show a trend toward Deep Learning for Code Analysis , Model-Driven Architecture , and Distributed System Compliance . He has collaborated extensively on projects like CHOReVOLUTION and MATISSE . Teaching spans courses on Software Engineering , Model-Driven Development , and Java/J2EE Programming at institutions including the University of L’Aquila and European University of Rome.

Giuliano ZANCHIمشاهده پروفایل

دانشیار

• Private Law
• Contract Law
• Succession Law
• +۴ مورد دیگر

Giuliano ZANCHI is an Associate Professor of Private Law at the Department of Economics, Ca' Foscari University of Venice. He graduated in Law from the University of Padua (1999) and earned a PhD in European Civil, Commercial, and Labour Contract Law at Ca' Foscari. His research focuses on contract law, succession law, European private law, and antitrust law. Education: Law, University of Padua (1999); PhD, Ca' Foscari University of Venice. Research: Interdisciplinary studies on business succession, corporate governance, and European legal frameworks. Teaching: Courses in Introduction to Law, European Private Law I, and Fundamentals of IT Law. Professional Affiliations: Venice Bar Association (since 2002), BILA, aIDA, ELI. His recent publications analyze blockchain, privacy, competition law, and contractual mechanisms. His work bridges empirical studies in Veneto's manufacturing districts with legal theory, emphasizing European integration and judicial interpretations. Research grants and collaborations with institutions like King's College London and the University of Trento highlight his international engagement.

• Algebra
• Commutative Algebra
• Coding Theory
• +۴ مورد دیگر

Emanuela De Negri is a Full Professor at the University of Genoa's Department of Mathematics (DIMA), serving on both the Academic Senate and Department Board. Her teaching responsibilities span undergraduate and graduate programs including Computer Science (Algebra), Mathematics (Linear Algebra and Analytic Geometry, Coding Theory), and Biomedical Engineering (Geometry). Her research centers on Commutative Algebra and Algebraic Geometry, with emphasis on structural properties of ideals and varieties. Key areas include initial ideals, radical ideals, semiregular sequences, and secant varieties, often exploring combinatorial and computational aspects with applications in coding theory and cryptography. Recent work reveals consistent focus on multigraded structures and characteristic-free methods. Publications from 2020-2022 demonstrate collaborative research patterns, particularly with Conca and Gorla, addressing foundational questions in ideal theory and tensor decompositions. The work shows strong interdisciplinary connections between abstract algebra and information theory, notably in encryption and error-correcting codes.