Find Academic Supervisors

• Artificial Intelligence
• Automated Planning
• Knowledge Representation and Reasoning
• +7 more

Alfonso Emilio Gerevini is a Full Professor of Information Processing Systems at the Department of Information Engineering, University of Brescia, Italy. He has been a leading figure in Artificial Intelligence research for decades, with a focus on automated planning, knowledge representation, machine learning, and neurosymbolic AI. He has held visiting positions at the University of Rochester (USA) and the University of Freiburg (Germany), and is a Fellow of both the European Association for Artificial Intelligence (EurAI) and the Asia-Pacific Artificial Intelligence Association. His research interests span a broad spectrum of AI, including automated planning, knowledge representation and reasoning, machine learning, data mining, natural language processing, and applications in healthcare and industry. He has made seminal contributions to the development of planning systems such as LPG, PbP, and PbP2, which have achieved top rankings in international planning competitions. He has served on the editorial boards of premier journals including Artificial Intelligence and JAIR , and has organized major conferences such as ICAPS and AI*IA. The recent publications highlight a strong trend toward integrating large language models (LLMs) with classical planning, neurosymbolic reasoning, bias detection in AI, and medical applications of machine learning. His work increasingly bridges symbolic AI with deep learning, focusing on robustness, explainability, and real-world deployment. Fellow of the European Association for Artificial Intelligence (EurAI) Fellow of the Asia-Pacific Artificial Intelligence Association Best Fully-Automated Planner of IPC-3 (2002) for LPG Winner of Learning Track at IPC-6 (2008) for PbP Winner of Learning Track at IPC-7 (2011) for PbP2 Gerevini has advised numerous researchers and collaborators, many of whom are now active in AI research. His leadership in organizing international competitions and conferences has significantly shaped the AI planning community. He has been deeply involved in projects applying AI to real-world problems, including prognosis estimation in healthcare, bias detection in language models, and automated scoring systems for safety training. He leads a vibrant research group focusing on planning, learning, and reasoning. His lab is engaged in developing unified planning frameworks, neurosymbolic integration methods, and applying AI to healthcare and industrial domains. Current efforts include the Unified Planning framework in Python, GPT-based planning policies, and explainable AI for medical reports. Future work is expected to further advance hybrid neurosymbolic architectures, robust planning under uncertainty, and ethical AI systems.

• Software Engineering
• Software Architecture
• Autonomous Systems
• +4 more

Patrizio Pelliccione is a Full Professor in Computer Science and Software Engineering at Gran Sasso Science Institute (GSSI) and an Associate Professor at Chalmers | University of Gothenburg. He holds a PhD in Computer Science from the University of L'Aquila. His research focuses on Software Architecture and Autonomous Systems, with applications in automotive and robotics domains. He has extensive international experience, including roles as Associate Professor at University of L'Aquila and Visiting Professor at Charles University. His research interests include software architecture design, autonomous systems, robotics, and automotive systems engineering. He actively collaborates with industry partners globally and has contributed to over 100 peer-reviewed publications across journals and conferences. Pelliccione chairs the Computer Science area at GSSI and leads research initiatives in value-based software ecosystems, continuous compliance, and architecture-driven development. He serves on program committees for major conferences like ICSE and ICSA, and has authored/co-authored books on software architecture and fault-tolerant systems. His work emphasizes practical industry applications, with contributions to automotive systems engineering frameworks, robotic mission specification languages, and safety-critical software development. Current projects explore AI integration in safety-critical domains like space systems and medical devices.

• Formal methods
• Distributed systems
• Concurrency theory
• +3 more

Emilio Tuosto is a Full Professor at the Gran Sasso Science Institute (GSSI) in L'Aquila, Italy, where he leads the Computer Science Department. Previously, he held an Associate Professor position at the University of Leicester's School of Informatics (UK). His research focuses on formal methods, distributed systems, and behavioral specifications. He earned his PhD in Computer Science from the University of Pisa in 2003 and holds a degree from the same institution (1998). His research explores theoretical and applied aspects of complex distributed systems, including automata-based models of distributed choreographies and contract-based interaction frameworks. Key projects include BehAPI (Marie Skłodowska-Curie Actions RISE project) and DeLiCE (Decentralised Ledgers in Circular Economy). He actively contributes to conferences like COORDINATION and ECOOP, and organizes GSSI's seminar series. Recent work includes tools like TRAC for data-aware coordination, MoCheQoS for QoS analysis, and CIRC (reversible computing). His publications span formal choreographic languages, static analysis for C programs, and behavioral types for local-first software. Collaborations involve institutions like IMT Lucca, University of Pisa, and international teams. Tuosto's contributions bridge theoretical foundations with practical implementations in distributed systems and formal methods.

• Data Science
• Database Systems
• Machine Learning
• +11 more

Silvia Anna Chiusano is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino , Italy. She is a member of the DBDM - Database and Data Mining Group and the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory . She actively serves on PhD collegia for the Computer and Systems Engineering program and contributes to academic governance through course planning boards. Research Interests: Her primary research areas include Data Science, Database Systems, Machine Learning, Artificial Intelligence, Smart Cities, Urban Intelligence, Business Intelligence, and E-health . Her work integrates advanced data analytics with real-world applications in urban mobility, transportation safety, cultural heritage digitization, and aerospace engineering. She applies techniques in natural language generation, explainable AI, and spatiotemporal data mining. Recent Publications Trends: Her recent publications (2022–2025) reflect a strong focus on leveraging AI and data science for societal and industrial challenges. Key themes include autonomous vehicle safety, urban mobility forecasting, natural language generation from structured data, database design tools, and smart city applications . Her work appears in journals like INFORMATION and INFORMATION SYSTEMS , and conferences such as IEEE AICT , ADBIS , and SEBD . Scientific Awards: No scientific awards are listed in the provided text. Advising and Grants: She supervises two PhD students: Andrea Avignone (Urban Data Science) and Davide Napolitano (Neural Explainers and Multimodal Learning). She has led multiple research projects, including: FI-WARE (EU-funded, 2014) – Scientific Director I-DREAM (2024–2027) – Scientific Head (Commercial) R&D Motion Sickness Prediction Model (2019) – Scientific Director Study and design of algorithms for Internet of Boilers (2017–2019) – Scientific Manager These projects span EU and commercial funding, highlighting her ability to translate research into practical engineering solutions. Labs and Research Groups: She is a core member of the DBDM - Database and Data Mining Group (DAUIN) and contributes to the SmartData@PoliTO center, which focuses on big data and data science applications for societal and industrial innovation.

• Portuguese Language Studies
• Brazilian Literature
• Lusophone Cultures
• +3 more

Livia Assunção Cecilio is a Contract Professor at the Department of Modern Languages, Literatures and Cultures, University of Bologna. Her role involves teaching Portuguese and Brazilian language courses, coordinating exams, and overseeing proficiency certifications such as Celpe-Bras. She is responsible for organizing written and oral examinations for students enrolled in Portuguese and Brazilian Literature programs. Her academic focus includes Portuguese language education, Brazilian literary analysis, and Lusophone cultural studies. She has consistently managed exam sessions since at least 2021, with recent activities documented through 2025. She maintains office hours via预约预约 and can be reached at livia.assuncao@unibo.it for scheduling.

• Audiovisual Translation
• Media Accessibility
• Disability Inclusion in Arts
• +4 more

Elena Di Giovanni is a Full Professor of English Linguistics and Translation at the University of Macerata, Italy, where she serves in the Department of Humanities. She co-directs the International Master's program in Accessibility to Media, Arts and Culture (AMAC). Her academic roles include past positions as Pro-Rector for Language Competences and Director of the Language Center at the University of Macerata (2010-2016). She has held visiting roles at Roehampton University (London, UK), City University of New York, and was a Fulbright Distinguished Chair at the University of Pittsburgh (2019). Educated at the University of Bologna (BA in Translation) and University of Naples Federico II (PhD in English for Special Purposes and Audiovisual Translation), her work focuses on audiovisual translation, media accessibility, and disability inclusion in cultural spaces. She pioneered accessibility projects for major Italian theaters and festivals, reaching over 2,000 disabled attendees in 2024. Her research explores audio description, subtitling guidelines, and participatory methodologies in accessibility design. Di Giovanni's contributions include co-founding the Journal of Audiovisual Translation (JAT), editing volumes on translation and disability, and advising on EU accessibility projects. She has delivered over 30 keynote lectures globally and evaluates PhD committees across Europe. Her 2024 International Jan Ivarsson Award recognizes her transformative impact on media accessibility. Her teaching spans specialized translation, multimedia translation, and international communication at both undergraduate and graduate levels. Current courses include 'Translation and Ideology in International Communication' and 'Multimedia Translation'.

• Informatics
• Computer Science
• Process Calculi
• +4 more

Mario Bravetti is a Full Professor at the Department of Computer Science and Engineering, University of Bologna. His academic discipline is Informatics (INFO-01/A). He specializes in formal methods, process calculi, and distributed systems, with a focus on session types, microservices architecture, and formal verification of software systems. His research bridges theoretical foundations with practical applications in cloud computing, edge computing, and industry 4.0. Research interests include: Session types and behavioral contracts Formal semantics of concurrent systems Microservices deployment and orchestration Low-latency anomaly detection in industrial IoT Formal verification tools for programming languages His recent work emphasizes proactive-reactive scaling strategies for microservices and the integration of formal methods into cloud-native architectures. He has contributed to projects like SEAWALL and the BETTY COST Action, advancing software reliability in large-scale systems. His articles highlight advancements in session subtyping algorithms, typestate systems for Java, and edge-cloud continuum optimizations. He has served as a guest editor for journals on service-oriented architectures and formal methods.

• Evolutionary Algorithms
• Machine Learning
• Optimization
• +7 more

Giovanni Iacca is an Associate Professor at the University of Trento's Department of Information Engineering and Computer Science (DISI), where he serves as Coordinator of the Master's Degree in Computer Science and Deputy Director of the Information Engineering and Computer Science Doctoral School. He leads the Distributed Intelligence and Optimization Lab (DIOL) and teaches courses including Computer Architectures, Introduction to Machine Learning, Bio-Inspired Artificial Intelligence, and Optimization Techniques across multiple academic programs. PhD in Computer Science, University of Jyväskylä, Finland (2011) MSc in Computer Engineering, Technical University of Bari, Italy (2006) Professor Iacca's research focuses on the intersection of evolutionary computation, machine learning, and optimization with applications in distributed systems and robotics. His work spans from theoretical foundations of memetic computing and multi-objective optimization to practical implementations in soft robotics, embedded systems, and healthcare applications. Recent efforts emphasize interpretable AI, particularly in reinforcement learning contexts, where his team develops methods to make decision processes transparent while maintaining performance. His research bridges the gap between fundamental algorithmic development and real-world engineering challenges, with over 15 years of industrial experience in optimization applied to engineering, logistics, and scheduling. Analysis of his recent publications reveals a strong trend toward interpretable AI systems, particularly in reinforcement learning contexts, with significant contributions to federated learning optimization, evolutionary neural architecture search, and applications in healthcare scheduling. His work consistently combines evolutionary algorithms with modern machine learning techniques to solve complex optimization problems across diverse domains including soft robotics, batteryless edge computing, and supply chain management. Scientific Awards: EvoApplications Best Paper Award (2017) UKCI AWARENESS Best Paper Award (2012) IEEE CIS Outstanding Student-Paper Award (2011) Professor Iacca actively supervises a large research group with numerous PhD students across multiple doctoral programs, including Information Engineering and Computer Science, Industrial Innovation, and the National PhD in Artificial Intelligence for Society. His lab has secured significant research funding through collaborations with industry partners and international research consortia. Recent grants support work on interpretable reinforcement learning, federated optimization, and applications of evolutionary computation in healthcare and robotics. He has also been appointed to editorial roles for prestigious journals including IEEE Transactions on Evolutionary Computation and Evolutionary Intelligence. The Distributed Intelligence and Optimization Lab (DIOL) under Professor Iacca's leadership comprises over 30 researchers including postdocs, PhD students, and master's students. The lab maintains strong international collaborations and has developed specialized expertise in evolutionary computation, interpretable AI, and optimization for embedded systems. Current projects include work on the EIC Pathfinder Challenge "Awareness Inside," development of methods for batteryless edge intelligence, and applications of evolutionary algorithms to healthcare scheduling problems.

Lorenzo FilipponioView profile

Professor

• Linguistics
• Romance Languages
• Glottology
• +2 more

Lorenzo Filipponio is a Full Professor at the University of Genoa's Department of Italian, Romance, Classical, Arts, and Entertainment Studies (DIRAAS). He holds dual administrative appointments as Vice Principal of the School of Humanities and Coordinator of the PhD program in Classical and Modern Literatures and Cultures (XL Cycle). His office hours are available in-person at the Glottology Section or via Microsoft Teams. His research specializes in Romance linguistics with focus areas including: Historical phonology and morphosyntax of Romance languages Field-based dialectology of Ligurian varieties Language contact phenomena and diachronic change Romanian language structures Empirical methodologies in linguistic documentation Recent publications (2024-2025) demonstrate consistent focus on dialectology, phonological evolution, and lexical studies within Romance languages, particularly examining Italian regional varieties and Romanian through both theoretical and field-based approaches. Currently teaches: General Linguistics (Bachelor's program) Linguistics Theories and Practices (Master's program)

Anna GiaufretView profile

Associate Professor

• French Linguistics
• Translation Studies
• Digital Humanities
• +3 more

Anna Giaufret is an Associate Professor at the University of Genova , affiliated with the Department of Modern Languages and Cultures . She specializes in French language, translation, and linguistics, with a focus on sociolinguistics, digital humanities, and historical linguistics. Her teaching includes courses in French language and translation for Letters, Economics of Maritime Companies, and Modern Languages and Literatures programs. Member, Technology Transfer Commission Member, CLAT Commission Her research explores epistemic injustice in Quebec studies, digital edition projects like Corr(si)Ca and CorrCa, and neological variations in textual genres. Recent work emphasizes computational linguistics tools, historical correspondence analysis, and geospatial uncertainty in archival data.

• English Linguistics
• Translation Studies
• Interlinguistic Mediation
• +1 more

Annalisa Baicchi serves as a Full Professor in the Department of Modern Languages and Cultures at the University of Genoa. Her academic affiliation centers on English language instruction and translation studies within specialized degree programs. Her research interests derive from her departmental focus, emphasizing English Linguistics , Translation Studies , and Interlinguistic Mediation . This scholarly profile supports curriculum development in multilingual communication and cultural services. Professor Baicchi teaches core courses including English Language and Translation II/III for the Theories and Techniques of Interlinguistic Mediation program, and English Language II (LM) for the Modern Languages and Literatures for Cultural Services Master's degree. Her pedagogical work targets advanced linguistic mediation competencies.

• Automatic speech recognition
• Language recognition
• Machine learning
• +5 more

Sandro Cumani is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at the Polytechnic University of Turin. He serves as a member of both the College of Electronic, Telecommunications and Physics Engineering and the College of Computer, Film and Mechatronics Engineering, demonstrating his cross-disciplinary impact across multiple academic programs. Dr. Cumani's research focuses on automatic speech and language processing with emphasis on speaker verification systems, machine learning for biometric authentication, and speech recognition technologies. His work integrates advanced machine learning techniques with practical applications in voice biometrics, addressing challenges such as domain mismatch, score calibration, and bias mitigation in speech models. His research interests include automatic speech recognition, language recognition, speaker recognition, speaker verification, and machine learning applications in biometric systems. His publication record shows a clear trajectory from foundational work on score distribution modeling and calibration techniques toward more sophisticated approaches addressing privacy preservation, bias mitigation, and subgroup performance analysis in speech recognition systems. The research consistently focuses on improving the reliability and fairness of speaker verification technologies through statistical modeling and machine learning innovations. Dr. Cumani leads the Speech Recognition Group (SRG) within DAUIN and has been the Scientific Responsible for multiple commercial research projects on speaker recognition and diarization from 2018 through 2025. He actively supervises PhD students, including Salvatore Sarni who completed his thesis on Speaker Verification and Language Recognition.

• Digital Media
• Cinematography
• Film Studies
• +2 more

Cristina Colet serves as an External Lecturer and Teaching Assistant at Politecnico di Torino's Department of Control and Computer Engineering (DAUIN), affiliated with the School of Film and Media Engineering. She has consistently taught core courses in the Film and Media Engineering program since the 2021/22 academic year. Her instructional focus spans both Master's and Bachelor's levels, with primary responsibilities in: Photography and Digital Cinema (Master of Science, 2021/22–2024/25) Film Language (Bachelor of Science, 2022/23–2024/25) Research interests center on digital media production techniques, cinematographic methodologies, and the intersection of photography with emerging media technologies. Her teaching portfolio demonstrates specialization in practical film engineering applications and visual storytelling frameworks. No scientific awards or publications were documented in available sources. Teaching activities constitute her primary institutional engagement without mention of student advisement, grant management, or laboratory leadership.

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +6 more

Giuseppe Sansonetti is an Associate Professor at the Department of Civil, Computer and Aeronautical Engineering, University of Rome III. His research focuses on Artificial Intelligence, Machine Learning, and their applications in cultural heritage, social robotics, and recommender systems. He teaches courses such as Elements of Computer Science and Artificial Intelligence and Machine Learning across multiple engineering programs. His research explores: Multimodal AI for museum visitor analysis Deep learning applications in infrastructure monitoring Context-aware recommendation systems Emotion recognition via physiological sensing Recent publications (2023-2025) demonstrate interdisciplinary work spanning computer science, civil engineering, and cultural technology. Key trends include integrating AI with social and cultural contexts, improving recommendation systems, and developing adaptive learning environments.

• Chinese Literature
• Southeast Asian Literature
• Asian and African Civilizations
• +3 more

Federica Casalin is an Associate Professor at the Institute of Oriental Studies, Sapienza University of Rome . She coordinates the PhD in Asian and African Civilizations and teaches courses such as 'China: Histories, Narratives, and Cultures' and 'Classical Chinese Literature' for both Bachelor's and Master's programs. Her office hours are held on Wednesdays from 2:30–4:00 PM in Studio 326 (Marco Polo building, 3rd floor) during teaching periods, and remotely via Zoom in June, July, September, January, and February. Her research focuses on Chinese and Southeast Asian languages and literatures , with an emphasis on classical texts, cultural narratives, and historical contexts. She also contributes to academic administration by managing exam appeals, thesis supervision guidelines, and remote learning logistics via Sapienza's proxy services (e.g., CNKI database access). Notable teaching activities include structured courses for the 2025–2026 academic year, such as 'Chinese Classics: Visions of Humanity and Letters' (Master's level) and 'China: Histories, Cultures, Narratives' (Bachelor's level), delivered in Lab 2 and Educational Laboratory Room 3 on the 3rd floor of the Marco Polo building.