جستجوی استاد راهنمای دانشگاهی

• Rural Buildings
• Agro-forest Land Planning
• GIS Applications
• +۴ مورد دیگر

Giuseppe Pappalardo is an Assistant Professor at the Faculty of Agriculture of the University of Catania , specializing in rural buildings and agro-forest land planning. His academic career spans decades of contributions to agricultural engineering and territorial planning. Education: Graduated in 1983 from the University of Catania's Faculty of Agriculture. Pappalardo's research focuses on rural architecture , GIS applications , and territorial planning , particularly for DOC cheese dairies, honey/vegetable processing facilities, and semi-urban agricultural landscapes. His work emphasizes the integration of traditional rural buildings with modern planning techniques. His publications highlight the use of GIS technology for urban green management , forest monitoring , and land use cartography , with a strong focus on Sicily's agricultural systems. Articles from 2007–2014 demonstrate interdisciplinary engagement with agricultural engineering, environmental science, and landscape design. He has taught courses across multiple institutions, including the University of Catania and the University of Messina, covering topics like Geomatics , Surveying , and Agricultural Systems Planning . Contact: gpappalr@unict.it | Office: Via S. Sofia, 100 - 2nd floor, no. 17, Catania.

Sandro Luigi Fioreمشاهده پروفایل

دانشیار

• Data Science
• Big Data
• Scientific Data Management
• +۱۳ مورد دیگر

Sandro Luigi Fiore is an Associate Professor in the Department of Information Engineering and Computer Science at the University of Trento, Italy. He has held academic positions at the University of Salento and visiting scientist roles at the University of Chicago and Lawrence Livermore National Laboratory. His research integrates data science, big data, and high-performance computing with climate informatics and open science. Education: Ph.D. in Innovative Materials and Technologies, University of Lecce, 2004 Master of Science in Computer Engineering (with honors), University of Lecce, 2001 His research interests span Data Science, Big Data, Scientific Data Management, Artificial Intelligence, and Distributed/Cloud/Parallel Computing , with a strong application focus on Climate Change and Open Science . He develops FAIR-enabled data analytics solutions and contributes to large-scale data infrastructures such as ESGF, EOSC-hub, and INDIGO-DataCloud. His work emphasizes provenance, reproducibility, and interoperability in scientific computing. The articles reflect a consistent trajectory in large-scale scientific data systems , evolving from Grid-DBMS and parallel computing to modern applications in climate informatics, AI, and FAIR data. Key themes include distributed data management, middleware, exascale software, and reproducible workflows in HPC environments. Scientific Awards: Earth System Grid Federation Team Award (2017) UNIDATA Community Equipment Award (2011) Best Student Paper Award, ITCC2003 Fiore has advised on and led multiple national and European projects including EOSC-hub, IS-ENES, and BARRACUDA (RDA-Europe3). He actively supports the adoption of FAIR data principles in scientific repositories, advising on data policies, architecture, provenance, and interoperability. He is a member of the FAIR Champions group and serves on the Advisory Board of FAIRsFAIR. He is involved in key research teams and projects such as the Earth System Grid Federation (ESGF) , Globus Lab (University of Chicago) , and PCMDI/LLNL . His work contributes to climate model intercomparison (CMIP5/6) and the development of next-generation data infrastructure for open science.

• Theoretical Linguistics
• Formal Semantics
• Computational Linguistics
• +۳ مورد دیگر

Roberto Zamparelli is an Associate Professor at the University of Trento in both the Department of Psychology and Cognitive Science and the Center for Mind/Brain Sciences (CIMeC) . His research spans theoretical and computational linguistics with a focus on syntax-semantics interface phenomena. His research interests include formal semantics , distributional semantics , computational models of language , and linguistic education . He has supervised multiple PhD theses and contributed to interdisciplinary projects combining linguistics with cognitive science. The 15 most recent articles (2013-2024) demonstrate consistent focus on partitive structures , multimodal language models , semantic knowledge evaluation , and multilingualism effects . Key subfields include ellipsis mechanisms, cross-linguistic analysis, and neural network linguistic testing. Marie Curie Post-Doctoral Fellowship (1997-1999) British Academy 'Joint Activity Grant' (2000) Patent: Dispositivo didattico per l’apprendimento o l’esercizio nell’uso di strutture linguistiche (2016) Students supervised include Eva Vecchi , Rossella Varvara , and Sara Zanellini . His work integrates computational methods with theoretical linguistics , supported by grants like the PRIN REPLAI project (2023-25) and EU Atheme collaboration (2014-19).

Luca Spalazziمشاهده پروفایل

دانشیار

• Computer Science
• Cybersecurity
• Blockchain Technology
• +۵ مورد دیگر

Luca Spalazzi is an Associate Professor at the Department of Information Engineering , Università Politecnica delle Marche , Italy. His research spans multiple domains including cybersecurity , blockchain technology , machine learning , and telerehabilitation systems for Parkinson's disease. He applies formal methods to software verification and security analysis, with a focus on real-time systems and distributed architectures . Key research areas: Cybersecurity, Blockchain, Machine Learning, IoT, Formal Verification Recent work: Blockchain-based sustainable supply chains, Zero-Knowledge Proofs, Smartphone health monitoring His publications (2013-2025) demonstrate expertise in malware detection , smart contract verification , and AI-driven health solutions . Articles include BRAIN 2024 workshop organization and RAPIDO system for Parkinson's telerehabilitation.

• Gravitational Physics
• Numerical Relativity
• Quantum Gravity
• +۴ مورد دیگر

Roberto De Pietri is an Associate Professor at the Department of Physics and Earth Sciences within the Faculty of Mathematical, Physical and Natural Sciences at the University of Parma, Italy. He has held this position since March 1, 2015, following 10 years as a Researcher (Assistant Professor) at the same institution. His research focuses on gravitational physics, numerical relativity, and quantum gravity, with particular emphasis on compact objects, gravitational wave phenomena, and computational astrophysics. De Pietri has made significant contributions to numerical simulations of relativistic systems, including neutron star oscillations, binary mergers, and gravitational wave emission. His work bridges theoretical frameworks with high-performance computing applications. Analysis of his recent publications reveals a strong focus on gravitational wave astronomy, particularly in catalog development (GWTC series), multi-messenger follow-up strategies, and computational infrastructure for real-time alert generation. His research spans from fundamental quantum gravity investigations to practical applications in gravitational wave detection pipelines. De Pietri has supervised five PhD students to completion and numerous master's theses, with research topics centered on numerical relativity, gravitational waveforms, and quantum gravity. He has secured substantial computational resources through PRACE projects, including 30 million core hours for neutron star merger simulations. His teaching portfolio includes graduate courses in gravitational physics and undergraduate instruction in general physics and computational methods. He has presented his research at major international conferences including the Marcel Grossmann Meetings and specialized workshops on numerical relativity.

Roger Hunterمشاهده پروفایل

استاد

• Synthetic Organic Chemistry
• Medicinal Chemistry
• Total Synthesis
• +۴ مورد دیگر

Professor Roger Hunter holds the Mally Chair of Organic Chemistry in the Chemistry Department at the University of Cape Town, South Africa, a position he has occupied since 2004 after serving as Associate Professor from 1989-2003. His research program bridges synthetic organic chemistry with medicinal applications through cutting-edge methodology development and drug discovery initiatives. His academic journey began with BSc Hons (1975) and PhD, DIC (1978) from Imperial College London, followed by EPSRC Post-Doctoral Research at University College London (1980-1982) and Royal Society Fellowship in Barcelona (1978-1980). He was awarded a US Fulbright Fellowship to Yale University in 2007. Hunter's research integrates synthetic organic chemistry across three major domains: total synthesis of bioactive alkaloids (Castanospermine, Tacamonine, Lepadiformine) using novel asymmetric catalysis techniques; medicinal chemistry targeting HIV through bifunctional reverse-transcriptase inhibitors developed with Yale collaborators; antimalarial agents active against chloroquine-resistant strains; and stable garlic-derived mimics with antimicrobial/anticancer properties. His group also pioneered practical methods for unsymmetrical disulfide synthesis using 1-chlorobenzotriazole. Publication analysis reveals consistent focus on therapeutic applications (HIV, malaria, cancer) coupled with innovative synthetic methodologies, demonstrating interdisciplinary collaboration with virologists, parasitologists, and oncologists to validate compound efficacy. The HIV bifunctional inhibitor project exemplifies his rational drug design approach. His scientific recognition includes: US Fulbright Fellow (2007) at Yale University Hunter leads multiple grant-funded projects through strategic collaborations with Professor Karen Anderson (Yale, HIV inhibitors), Professor Tim Egan (antimalarials), and Dr Catherine Kaschula/Professor Iqbal Parker (anticancer agents). His laboratory trains researchers in advanced organic synthesis while maintaining active partnerships with the Institute of Infectious Disease and Molecular Medicine (IDM) at UCT. The Hunter laboratory operates at the chemistry-biology interface, utilizing specialized instrumentation for complex molecule synthesis and mechanism-of-action studies. Current efforts focus on optimizing azaquaternary center formation for alkaloid synthesis, developing next-generation HIV therapeutics, and expanding the structure-activity database for garlic-derived anticancer compounds.

Akhil Aroraمشاهده پروفایل

پژوهشگر

• Data Mining
• Graph Data Management
• Information Retrieval
• +۴ مورد دیگر

Akhil Arora is a researcher at Aarhus University, Denmark, specializing in data mining, graph analytics, and information retrieval. His work focuses on scalable systems for network data analysis, Wikipedia navigation patterns, and influence propagation models. Current affiliations: Aarhus University (2025) Previous affiliations: EPFL (Switzerland), Xerox Research Centre India, IIT Kanpur Research Interests : Arora's research bridges graph data management, machine learning applications, and web-scale analytics. His recent projects include large-scale Wikipedia usage analysis and neural methods evaluation for entity alignment. Publication Trends : His work spans from 2014-2025 with consistent output in ACM SIGMOD/PODS conferences and affiliated venues, covering graph algorithms, influence maximization, and web interface design. Technical Contributions : Developed scalable systems for graph querying (RAQ), benchmarked influence maximization methods, and created synthetic data frameworks for Wikipedia navigation studies.

• Condensed Matter Physics
• Quantum Information Science
• Electronic Structure Theory
• +۵ مورد دیگر

Marco Govoni is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Physics, Informatics, and Mathematics. His research focuses on quantum defects, electronic structure theory, and many-body perturbation methods (e.g., GW/BSE), with applications to spin defects in semiconductors for quantum technologies, perovskites, and heterogeneous materials. He develops computational tools like the WEST code and explores quantum simulations on high-performance and near-term quantum computers. He teaches courses in General Physics and Theoretical Physics, emphasizing computational methods and material science. Research interests include: condensed matter physics, quantum computing, electronic structure theory, defect engineering, and computational material discovery. His work addresses challenges in simulating large systems, optimizing hybrid functionals, and leveraging GPU acceleration for many-body calculations. Key contributions include studies on self-trapped excitons, spin defects in diamond/SiC, and dielectric-dependent functionals for heterogeneous interfaces. Publications span topics like quantum defect embedding theory, GPU-accelerated Bethe-Salpeter equation solutions, and machine learning for dielectric screening. He collaborates widely, contributing to software interoperability and exascale computing strategies for electronic structure codes.

Gigliola Vagliniمشاهده پروفایل

استاد

• Distributed Systems Verification
• Model Checking
• Machine Learning Applications
• +۲ مورد دیگر

Gigliola Vaglini is Full Professor of Computer Engineering at the University of Pisa's Department of Information Engineering. She teaches Software Systems Engineering and Databases, with research focusing on formal specification and verification of concurrent/distributed systems. Her work integrates model checking methodologies with machine learning techniques for industrial anomaly detection and mobile security applications. She has participated in multiple research projects funded by the Italian Ministry of University and Research, National Research Council, and European Community. Research Focus: Vaglini's work bridges theoretical computer science and practical applications, developing verification frameworks for complex systems while creating AI solutions for real-world problems. Her current investigations span swarm intelligence coordination, structural monitoring via digital twins, and multimodal deep learning architectures. Recent publications demonstrate cross-disciplinary approaches combining formal methods with machine learning, particularly in environmental monitoring, structural engineering, and neural architecture design. This reflects a consistent pattern of translating theoretical computer science concepts into applied technological solutions.

Edoardo Rotiglianoمشاهده پروفایل

استاد

• Physical Geography
• Geomorphology
• Applied Geomorphology
• +۵ مورد دیگر

Edoardo Rotigliano is a Full Professor in the Department of Earth and Marine Sciences at the University of Palermo, Italy. He teaches Physical Geography, GIS, and Applied Geomorphology courses with office hours held at the main campus (Via Archirafi, 22) and Trapani teaching center for Biodiversity and Technological Innovation students. His contact includes phone (+3909123864649) and email (edoardo.rotigliano@unipa.it). His research spans physical geography and geomorphology with emphasis on landslide susceptibility modeling, erosion processes, and natural hazard assessment. Key interests include geomorphometry, GIS analysis, hydrogeological phenomena, and coastal vulnerability. He employs advanced geospatial techniques and field-based approaches to analyze hazards in Mediterranean environments, particularly Sicily and Central America. Recent publications (2023-2025) reveal strong focus on landslide deposit prediction, inventory completeness validation, and multi-typology susceptibility modeling. His work integrates stochastic approaches, high-precision simulations, and field data to address geomorphological hazards across diverse landscapes from volcanic calderas to coastal zones. Notable case studies include El Salvador's Ilopango Caldera and Sicilian river basins. Scientific contributions include: Development of spatial validation protocols for landslide susceptibility maps Integration of preparatory and triggering factors in coseismic hazard models Analysis of scale effects in geomorphological modeling Experimental pedagogy for geoscience education As faculty member, he supervises student research and participates in geoscience education initiatives. His work demonstrates strong interdisciplinary collaboration between geomorphology, hydrology, and environmental engineering. Current projects focus on refining hazard prediction models through advanced sampling strategies and multi-source data integration for Mediterranean and Central American contexts.

Francesco Bellottiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Embedded Systems
• Automated Driving
• +۳ مورد دیگر

Francesco Bellotti is an Associate Professor at the University of Genoa's Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN). He teaches advanced courses including Computational Intelligence, Cyber Physical Systems, and Machine Learning for Automated Driving across master's programs in Electronic Engineering and Engineering Technology for Strategy and Security. His institutional role includes membership in the steering committee of the Italian Excellence Center for Logistics, Transport, and Infrastructure (CIELI). Bellotti's research focuses on artificial intelligence and embedded systems , with applications in automotive technology, edge computing, and TinyML. Key areas include real-time driver distraction detection, deep reinforcement learning for autonomous parking, neural architecture optimization for microcontrollers, and cross-domain activity recognition. His work bridges theoretical machine learning with resource-constrained hardware implementations. Recent publications (2024-2025) demonstrate a strong emphasis on optimizing deep learning models for edge deployment, particularly in automotive and IoT contexts. Dominant themes include real-time neural network inference on microcontrollers, adversarial training for robust autonomous agents, video preprocessing for driving scenarios, and benchmarking lightweight vision models. The research consistently targets efficiency-critical applications, reflecting Bellotti's focus on scalable embedded AI solutions.

Marco Negozioمشاهده پروفایل

پژوهشگر

• Industrial Engineering
• Microbiome
• Machine Learning
• +۳ مورد دیگر

Dr. Marco Negozio is a Fixed-Term Researcher at the Department of Systems Engineering and Industrial Technologies (DISTI) of the University of Parma. His work spans industrial engineering and microbiome research, with a focus on battery technology, sustainable manufacturing, and machine learning applications in production processes. EMAIL: marco.negozio@unipr.it OFFICE: Science and Technology Campus, Pavilion 10, Engineering Scientific Headquarters, Parco Area delle Scienze, 181/A, 43124 PARMA Research Interests Marco's research bridges industrial engineering and microbiology, with particular emphasis on: Battery Technology : Electrode adhesion analysis using laser-textured current collectors Sustainable Manufacturing : Innovative processes for food system design and extrusion simulations Microbiome Dynamics : Gut microbiota interactions, bifidobacteria, and environmental microbial diversity Machine Learning Applications : Neural networks for microstructure prediction in aluminum alloys Publication Trends Marco's recent work shows dual expertise in industrial engineering (battery manufacturing, extrusion processes) and microbiome science (gut-brain axis, probiotic interactions). His 2025 publications highlight cross-disciplinary approaches combining mechanical engineering with microbial ecology, particularly in sustainable technologies and human health applications.

Stefano Martellosمشاهده پروفایل

دانشیار

• Biodiversity Informatics
• Lichenology
• Taxonomy
• +۶ مورد دیگر

Stefano Martellos is Associate Professor of Systematic Botany (SSD BIO/02) at the University of Trieste's Department of Life Sciences since 2019. He holds a PhD in Biomonitoring of Environmental Change from the University of Trieste. His research spans Biodiversity Informatics , Lichenology , and Citizen Science , with particular emphasis on Digital identification systems (FRIDA software, 600+ keys) Species distribution modeling for climate change impact DNA barcoding applications Italian lichen checklists European LIFE+ projects Recent publications focus on Alpine lichen diversity ( MycoKeys 2018), climate change impacts ( Community Ecology 2018), and citizen science validation ( Plant Biosystems 2019). His team has developed ITALIC database for Italian lichens and JellyWeb for marine species. Scientific recognition includes O.P.T.I.M.A. medal (1993) Ferrari-Soave Prize (2009) Acharius medal (2014) Currently coordinates the Biological Sciences and Technologies degree program and participates in European research initiatives like KeyToNature. Collaborates with ISPRA, UNEP/MAP, and National Biodiversity Network.

• Human-Robot Interaction
• Quality Engineering
• Manufacturing Technologies
• +۳ مورد دیگر

Luca Mastrogiacomo is a Full Professor at the Department of Management and Production Engineering (DIGEP) , Politecnico di Torino. He serves as Coordinator of the Collegio di Ingegneria Gestionale e della Produzione and is a member of the Interdepartmental Center PIC4SeR for Service Robotics. His research focuses on Human-Robot Interaction , Quality Engineering , and Manufacturing Technologies . Research interests include: Human-Robot Collaboration in Assembly Quality Assessment & Assurance Production Systems Optimization Industrial Design & Man-Machine Interfaces Applied Metrology and Measurement Uncertainty Recent articles analyze gamification in manufacturing, complexity models for human-robot collaboration, and eye-tracking applications in repetitive assembly tasks. His work aligns with ERC sectors PE8_10 (Industrial Design) and PE8_7 (Mechanical Engineering) , addressing SDG 9 (Industry Innovation) and SDG 12 (Responsible Consumption) . Scientific awards include multiple Best Paper Awards (2014–2024) from conferences in Portugal, UK, and Italy. He supervises PhD students in Gestione, Produzione E Design and Industrial Engineering programs.

Federica Marcolinمشاهده پروفایل

دانشیار

• 3D face analysis
• Emotional design
• Facial expression recognition
• +۷ مورد دیگر

Federica Marcolin is an Associate Professor in the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin. She serves as a member of both the College of Architecture and Design and the College of Biomedical Engineering, teaching courses across multiple engineering disciplines with a focus on 3D technologies and applications. Her educational background includes a Master's degree in Mathematics in Engineering (2010) and a PhD in Production Systems & Industrial Design (January 2015), with dissertation work on differential geometry applied to 3D face analysis. She conducted research at the i·Bug group of Imperial College London in 2014 on similar topics. Dr. Marcolin's research spans the intersection of computer vision, human-computer interaction, and medical applications, with particular emphasis on 3D face analysis, emotional design, and facial expression recognition. Her work bridges industrial design methodologies with advanced computing techniques to solve problems in healthcare, security, and human-machine interfaces. Her recent publications demonstrate a strong trend toward applying machine learning and 3D technologies to medical applications, particularly in facial surgery prediction, stress assessment using VR environments, and emotion recognition systems. These works span disciplines including biomedical engineering, computer vision, and human factors engineering. Methodology for predicting facial soft tissue displacement following maxillofacial surgery Methodology for real-time facial expression recognition Classification system for ovarian tumor characteristics based on 2D ultrasound image processing Automatic disease diagnosis system based on 3D model extraction from 2D medical images Dr. Marcolin supervises PhD students in the Management, Production and Design program and leads several research projects including DAS - Design for Augmented Surgery (2024-2026) and an agreement with the University of Turin's Department of Psychology (2024-2029). She has previously directed projects such as Practical application of 3D technology in medicine (2021) and FARMER 4.0 training laboratories (2018-2020). Her laboratory work focuses on the 3D LAB research group which specializes in human-computer interaction applications, visualization, and management of 3D data, with applications spanning medical diagnostics, surgery planning, security systems, and emotional design.