جست‌وجوی استاد و پژوهشگر

• Social studies of science and technology
• Actor-network theory
• Design ethnography
• +۱۱ مورد دیگر

Alvise Mattozzi is an Associate Professor in the Department of Environmental, Land and Infrastructure Engineering (DIATI) at Politecnico di Torino, where he contributes to interdisciplinary research through the FULL Interdepartmental Center – Future Urban Legacy Lab. His work bridges the social sciences and design, focusing on socio-technical systems, urban sustainability, and public engagement with science. His research interests include Actor-Network Theory, design ethnography, semiotics, qualitative research, social design, and the social studies of science and technology (STS) . He investigates the social role of artifacts, interdisciplinary design practices, and socio-technical-environmental controversies, often integrating cultural theory with practical design applications. His methodological focus includes controversy mapping and ethnographic approaches to innovation. His recent publications reflect a strong engagement with inclusive mobility planning, citizen science in hydrology, climate change communication through theater, and critical reflections on STS concepts such as hybridity and translation. These works span computer interaction, environmental science, cultural studies, and philosophy, demonstrating his interdisciplinary reach. His scientific recognition includes being a Fellow of STSItalia (2011–2013) and Vice President of the Italian Association of Semiotic Studies (AISS) (2008–2010). He has also served on the editorial board of Tecnoscienza . Mattozzi teaches courses such as Science and Technology Studies , Systemic Food Design , and Sustainable Urban Mobility across Architecture, Design, and Environmental Engineering programs. He supervises PhD students, including Ludovica Moro , and leads or participates in externally funded research projects like DSooE (Scientific Director) , LIBRA , and SCoolAir , supported by EU, PNRR, and private foundations. He is also affiliated with the tdpLAB (DAD) , contributing to design and ethnography-based research.

• Neurocognitive Bases of Language
• Interpreting and Translation Studies
• Cognitive Psychology
• +۴ مورد دیگر

Serena Ghiselli is a Fixed-term Junior Researcher at the Department of Interpretation and Translation, University of Bologna. Her research focuses on neurocognitive bases of language perception in late bilinguals, with an emphasis on working memory and selective attention in interpreting. She holds a PhD in Translation, Interpreting, and Intercultural Studies from the University of Bologna (2019), where her thesis on cognitive development in interpreters was awarded highest honors. Education : Bachelor's in Applied Interlinguistics, University of Trieste (2012) Master's in Interpreting, University of Bologna (2015) PhD in Translation Studies, University of Bologna (2019) Her research interests span cognitive aspects of interpreting expertise, corpus-based translation analysis, and the role of digital media in language learning. She has conducted projects funded by the Italian Ministry of Education (PRIN) and held research fellowships at the University of Bologna and University of Granada. Her work bridges neurolinguistics and applied translation studies, exploring how cognitive processes shape professional interpreting practices. Recent articles examine racist terminology translation in subtitles, internet-mediated language learning, and longitudinal studies on interpreting's impact on executive functions. She is an active member of AIA (Italian Association of English Studies) and has presented at international conferences in cognitive linguistics and translation studies. Teaching activities include academic English courses, dialogue interpreting, and scientific English labs across multiple universities. She contributed to the MC2Lab (Cognitive Translation Studies Lab) and participated in the EU-funded SHIFT project on distance interpreting training.

• Corpus Linguistics
• Translation Studies
• Terminology
• +۳ مورد دیگر

Adriano Ferraresi is an Associate Professor at the University of Bologna's Department of Interpretation and Translation since 2019, coordinating the Master's in Specialized Translation. He holds a PhD in English for Special Purposes from the University of Naples 'Federico II'. His research focuses on corpus linguistics, translation technologies, and linguistic resources, with contributions to projects like the WaCky, EPTIC, and Eurolect Observatory. He teaches translation technologies and leads the PRIN project UNITE (2023–2025). Education: PhD in English for Special Purposes, University of Naples (2012) Master's in Specialized Translation, University of Bologna (2007) Bachelor's in Translation and Liaison Interpreting, University of Bologna (2005) Research Interests: Ferraresi explores corpus-based approaches to terminology, phraseology, and translation studies. His work bridges theoretical and applied linguistics, with a focus on constrained English varieties (translated/non-native) and intermodal corpora. Recent Articles: His 2024 work includes multimodal translation corpus development and analysis of constrained communication. 2023 publications address machine translation evaluation, linguistic skill mapping (UPSKILLS project), and cross-linguistic corpus methodologies. Awards: Guido Paolucci Award (2008) Recipient of postdoctoral and research grants (2008–2016) Advising & Grants: As PI of UNITE, he develops inclusive English-learning technologies. He advises on language industry trends and collaborates with the European Commission's EMT network (2024–2029). His teams focus on corpus tools like BootCaT and translation pedagogy. Labs/Teams: Active in the DIT Lab (University of Bologna), Eurolect Observatory, and international collaborations like the EPTIC initiative.

• Artificial Intelligence
• Health Informatics
• Semantic Web Technologies
• +۵ مورد دیگر

Antonella Carbonaro is a **Confirmed Associate Professor** at the **Department of Computer Science and Engineering** of the University of Bologna. She holds a PhD in Intelligent Artificial Systems from the University of Ancona and has conducted post-doctoral research in AI. Her work focuses on **data and knowledge modeling for semantic representation**, particularly in healthcare domains. She leads major projects like the **DARE initiative** (digital lifelong prevention) and the **Cancer Virtual Lab**, leveraging knowledge graphs and AI to advance healthcare analytics. She is also involved in gender-balance initiatives like the **Ragazze Digitali** program and contributes to EU projects such as TEHDAS2 (European Health Data Space). Her research integrates semantic web technologies, FHIR standards, and digital twin systems to enhance healthcare interoperability and decision-making. She has been awarded the **National Scientific Qualification (ASN) for Full Professor** (2023). She serves on committees including the Emilia-Romagna Region’s AI in Healthcare Working Group and chairs multiple project work packages.

• Semiotics
• Education
• Cognitive Science
• +۳ مورد دیگر

Paolo Martinelli holds the position of Adjunct Professor in the Department of Philosophy at the University of Bologna. His work focuses on semiotics, education, and cognitive science, with particular emphasis on disability studies and symbolic communication. He has contributed to understanding clichés through semiotic analysis and explored the role of abductive reasoning in literacy development. His research integrates interdisciplinary approaches, combining philosophical inquiry with linguistic and educational frameworks. Recent publications address the intersection of disability representation and cultural stereotypes, as well as semiotic processes in learning contexts.

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.

• Computer Science
• Artificial Intelligence
• Logic Programming
• +۷ مورد دیگر

Stefania Costantini is a Professor in Computer Science with a focus on logic programming, multi-agent systems, and healthcare applications. She has contributed to the development of intelligent ecosystems for patient monitoring, ontology frameworks for medical wearables, and formal verification methods for agent systems. Research Interests: Logic-based agent modeling Complex event processing Healthcare technology integration Temporal and metalevel logic applications Wearable device classification Recent Article Trends: Stefania's work combines artificial intelligence with biomedical engineering, emphasizing real-time data analysis from wearables, noise pollution mitigation, and agent-based healthcare systems. Her publications show a consistent focus on computational logic foundations applied to practical healthcare scenarios. Collaboration Network: Key co-authors include Lorenzo De Lauretis, Fabio Persia, and C. Bertoncelli across interdisciplinary projects blending computer science with medical research.

Francesca PARPINELمشاهده پروفایل

دانشیار

• Statistics
• Machine Learning
• Econometrics
• +۳ مورد دیگر

Francesca PARPINEL serves as an Associate Professor in the Department of Economics at Ca' Foscari University of Venice, holding additional responsibilities as Department Delegate for Language Training. Her academic work spans statistical methodology development and practical applications in economics and finance. Her educational background includes a Degree in Statistics Applied to Economics (1990) and PhD in Statistics (1994), both from the University of Padua. She progressed from Assistant Professor (1996-2002) to her current Associate Professor position (2002-present), while coordinating the Bachelor's Degree Program in International Trade and Tourism from 2011-2018. Research interests focus on advanced statistical methodologies including estimation methods for regressions on complex spaces , evolutionary algorithms for regime-changing models , and statistical measures of systemic risk . Her work bridges theoretical statistics with practical financial applications, particularly in trading systems and risk assessment. Recent publications demonstrate strong interdisciplinary connections between statistics, finance, and computational methods, with increasing emphasis on machine learning applications in financial distress prediction and climate derivatives pricing. She actively supervises undergraduate and graduate theses requiring data analysis, emphasizing proficiency in R programming. Her teaching portfolio includes Statistics, Multivariate Statistics, and specialized laboratories across multiple degree programs including International Trade and Tourism, Economics and Commerce, and Global Development. PARPINEL has organized significant academic events including SIS 2015 (Statistics and Demography: the Legacy of Corrado Gini) and multiple MAF conferences, while maintaining membership in the Italian Statistical Society (SIS).

Simone Torsaniمشاهده پروفایل

دانشیار

• Computational Linguistics
• Artificial Intelligence in Language Education
• Machine Translation
• +۳ مورد دیگر

Dr. Simone Torsani is an Associate Professor at the Department of Modern Languages and Cultures, University of Genova. His work bridges computational linguistics, translation studies, and educational technology through research, teaching, and institutional leadership roles. His research focuses on AI applications in language education Computational linguistics for plurilingualism Machine translation and post-editing EdTech solutions for inclusive education Recent publications examine generative AI's role in grammar instruction and special educational needs inclusion through technology. He actively contributes to university governance as Member of the Scientific Council of the University Service Center for Simulation and Advanced Training (SIMAV) Member of the CLAT Commission for curriculum development His teaching portfolio includes courses on language teaching, computational linguistics, and AI applications in translation studies.

• Italian Linguistics
• Dialectology
• Language Contact
• +۷ مورد دیگر

Annarita Miglietta is an Associate Professor of Italian Linguistics at the University of Salento's Department of Humanities, a position she has held since March 21, 2005. She maintains an active research and teaching profile with office hours held Fridays from 9:30 to 10:30 in Studio 13C of Palazzo Parlangeli in Lecce. Her academic journey includes obtaining qualification for the first band in 2013 and reaffirming this qualification in 2019, demonstrating her continued scholarly excellence. Dr. Miglietta's research spans traditional dialectology and contemporary linguistic phenomena, with particular focus on the relationship between standard Italian and regional varieties in Salento. Her scholarly work examines language contact, code-switching, sociolinguistic variation, and the vitality of the Griko language. In recent years, she has expanded her research to include digital communication phenomena, analyzing language use in social media, rap lyrics, and the impact of technology on linguistic expression. Her methodological approach combines fieldwork with textual analysis across diverse contexts including educational settings, children's language acquisition, and digital environments. Her publication record shows a clear evolution from traditional dialectological studies toward contemporary language phenomena while maintaining continuity with regional linguistic traditions. The most recent publications demonstrate engagement with cutting-edge linguistic topics including digital communication, youth language, and the interface between traditional literary forms and new media. This trajectory reflects both her adaptability as a researcher and her commitment to examining language as a living, evolving system. Dr. Miglietta serves as a reviewer for the VQR (Research Quality Evaluation) for the periods 2015-2019 and 2020-2024, and has contributed significantly to doctoral education through committee service and specialized lectures for PhD programs at the University of Turin and the International PhD Program in Modern and Classical Languages at the University of Salento and University of Vienna. She maintains active scholarly engagement through editorial roles as a member of the board of Rivista Italiana di Dialettologia since 2012 and the scientific committee of Journal Olhares & Trilhas since 2019, demonstrating her commitment to advancing research in her field through scholarly publication and peer review.

• Vaccinology
• Immunology
• Infectious Diseases
• +۱۲ مورد دیگر

Dr. Ahmed M. Salman is a Senior Immunologist-Vaccinologist and Research Group Leader at the Jenner Institute, University of Oxford, and a Fellow at Kellogg College. He leads research in innovative vaccine development against infectious diseases such as malaria and COVID-19, and also contributes to gene therapy for retinal disorders. He works in collaboration with the Pirbright Institute and Leiden University Medical Centre, and is a Co-PI on projects funded by the Bill & Melinda Gates Foundation, European Commission, and MRC. Education: BSc in Biochemistry, Ain Shams University, Egypt (2006) MSc in Tuberculosis Immunology, Ain Shams University in collaboration with Statens Serum Institut, Denmark (2011) DPhil (PhD) in Clinical Medicine, University of Oxford (awarded 2015) Dr. Salman’s research focuses on identifying and assessing novel vaccine antigens using advanced technologies in immunology, molecular biology, and bioinformatics. His work spans viral vector vaccines, VLP platforms, and gene editing tools like CRISPR/Cas. He has made significant contributions to antigen down-selection for clinical trials, including the Oxford-AstraZeneca COVID-19 vaccine and next-generation malaria vaccines targeting both P. falciparum and P. vivax. His recent publications reveal a dual focus: (1) vaccine immunology and development, particularly in malaria and pandemic response, and (2) cutting-edge gene therapy approaches for retinal diseases. This interdisciplinary trend highlights his expertise across vaccinology and regenerative medicine. Additionally, he has published on AI applications in cybersecurity education, indicating broad scientific engagement. Scientific Awards and Recognition: Named inventor on three Plasmodium falciparum malaria vaccine patents Recipient of EVIMalaR PhD scholarship funded by the European Commission and EMBL Dr. Salman advises and leads a research group within the Jenner Institute’s Pre-erythrocytic Vaccines Programme. He has secured and contributed to major grants from global funders including the Bill & Melinda Gates Foundation and Medical Research Council. His leadership in clinical trial-related antigen selection has had significant real-world impact. He is a member of the British Society for Immunology (BSI), American Society of Tropical Medicine and Hygiene (ASTMH), and the International Veterinary Vaccinology Network (IVVN). His work is conducted within state-of-the-art facilities including the Jenner’s VLP and Insectary (SRF) units, which he manages, supporting vaccine production and preclinical testing.

• Approximate computing
• Bayesian networks
• Cybersecurity
• +۷ مورد دیگر

Alessandro Savino is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di TORINO. He serves as an academic advisor for Bachelor’s and Master’s degree programs in Computer Engineering (Ingegneria Informatica) and contributes to PhD programs in Artificial Intelligence and Computer Engineering. Research Interests: Approximate computing, Cybersecurity (including automotive systems), Dependability, Parallel computing, Reliability analysis, and Neuromorphic architectures. Key Projects: Leads RESCHIP4EU (2024-2028), NEUROPULS (2023-2027), and commercial contracts focused on real-time OS validation and avionics design. Publications: Recent work spans hardware security (e.g., VeriSide for leakage assessment), spiking neural networks (SpikeExplorer, SpikingJET), and automotive cybersecurity (CARACAS, CAN-MM). Teaching: Instructs courses on Parallel and Distributed Computing, Hardware & Wireless Security, and System Programming across Politecnico di TORINO and Scuola IMT Alti Studi - LUCCA. Research Group: Leads the SMILIES group, focusing on resilient computer architectures and life sciences.

• Big Data
• Machine Learning
• Cybersecurity
• +۵ مورد دیگر

Dr. Danilo Giordano is an Associate Professor at the Department of Control and Computer Science (DAUIN) within Polytechnic University of Turin. He actively contributes to the SmartData@PoliTO Center, focusing on big data and data science applications. Research Interests: Big data, machine learning, cybersecurity, predictive maintenance, smart cities Scientific Awards: Best Student Paper Award ITC (2015), IETF Applied Research Prize coauthor (2017) His academic work spans machine learning for network security , big data analytics in industrial contexts , and smart city infrastructure optimization . Notably, his recent publications examine satellite network performance, darknet visibility enhancement, and language model applications in cybersecurity. As an editorial board member of COMPUTER NETWORKS (since 2024), he has also organized multiple conferences including the Data Challenge sessions at PHME conferences and served as publication chair for ACM CoNEXT workshops.

Gabriele Tolomeiمشاهده پروفایل

دانشیار

• Machine Learning
• Explainable AI
• Adversarial Machine Learning
• +۵ مورد دیگر

Gabriele Tolomei is an Associate Professor of Computer Science at Sapienza University of Rome. He leads the HERCOLE Lab (Human-Explainable, Robust, and Collaborative Learning) and focuses on advancing AI systems that are interpretable, robust, and decentralized. His research spans machine learning, computer security, and adversarial learning. PhD in Computer Science, Ca' Foscari University of Venice (2011) MSc in Computer Science, University of Pisa (2005) BSc in Computer Science, University of Pisa (2002) His research interests are centered on Explainable AI , Robust Machine Learning , and Collaborative Learning . He has contributed to areas such as counterfactual explanations for graph neural networks, community membership privacy, and fairness in graph algorithms. His work intersects Web Search and Mining with Computational Advertising , emphasizing user engagement and post-click satisfaction. He teaches courses like Operating Systems for BSc Computer Science and Big Data Computing for MSc Computer Science. Current PhD students under his supervision include Edoardo Gabrielli, Fabiano Veglianti, Flavio Giorgi, Matteo Silvestri, and Vittoria Vineis. The HERCOLE Lab, established in 2021, promotes interdisciplinary research on human-centered AI, adversarial resilience, and edge computing. Collaborators include Fabrizio Silvestri (Full Professor), Federico Siciliano (Postdoctoral Researcher), and Ziheng Chen (Research Scientist at Walmart Labs).

• Climate Science
• Meteorology
• Extreme Weather Events
• +۳ مورد دیگر

Leonardo Aragão is a Researcher at the CMCC Foundation (Euro-Mediterranean Center on Climate Change Foundation) in Bologna, Italy, affiliated with the Institute for Earth System Predictions and Earth System Modelling and Data Assimilation Division. His work bridges meteorological research and climate prediction, focusing on high-impact environmental phenomena. Research Focus Dr. Aragão specializes in analyzing cyclonic activity impacts on climate variability and associated environmental disasters including floods, landslides, windstorms, and storm surges. His methodology integrates atmospheric modelling with advanced computational techniques for processing meteorological data across scales. Current research emphasizes machine learning-driven climate downscaling for seasonal forecasting, leveraging expertise in data quality control, visualization, and extreme event detection systems. Professional Profile With extensive involvement in European research projects, he maintains dual expertise in theoretical meteorology and practical data science. His computational proficiency spans multiple programming languages for handling diverse climate datasets, from localized observations to global models. Teaching experience across meteorological disciplines informs his approach to model development and interdisciplinary collaboration within climate science. Scientific Recognition No specific awards or fellowships are documented in the provided materials. Academic Contributions While student mentorship details are unreported, his role includes developing analytical frameworks adopted in climate hazard assessment. Grant funding specifics remain undisclosed in available sources. Research Infrastructure As core personnel in the Earth System Modelling and Data Assimilation Division, he contributes to CMCC's High Performance Computing Center initiatives, focusing on enhancing predictive capabilities for climate extremes through integrated modelling systems.