Automated Program Repair Professors and Supervisors in Italy | ApplySharif

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Li LiView profile

Professor

University of GenoaItaly

Li Li is a Professor of Software Engineering at Beihang University , China. Previously, he served as an ARC DECRA Fellow and Senior Lecturer at Monash University , leading the SMart software Analysis and Trustworthy computing (SMAT) research lab at the Department of Software Systems and Cybersecurity. His academic journey includes a Ph.D. in Software Engineering from the University of Luxembourg (2016), supervised by IEEE Fellow Prof. Yves Le Traon and Dr. Jacques Klein. Research Interests Li's research focuses on Mobile Software Engineering (Mobile Security, Quality Assurance) and Intelligent Software Engineering (SE4AI, AI4SE). He applies static code analysis , dynamic program testing , and machine/deep learning to enhance software security and reliability. Key areas include Android API evolution, automated patch validation, and multi-language code analysis frameworks like Scalpel for Python. Scientific Recognition ARC DECRA Fellowship Rising SE Research Star Top-5 Most Impactful Early Career SE Researchers (2020, 2017) 5 Best/Distinguished Paper Awards across PLDI, WWW, ASE, MSR, and SANER Academic Contributions He has contributed to foundational Android analysis tools (e.g., AndroZoo++, DroidRA) and developed scalable systems for distributed program analysis (Seads). His work appears in top venues like ICSE, ESEC/FSE, ASE, ISSTA, POPL, and TSE.

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Giovanni SquilleroView profile

Professor

Polytechnic University of TurinItaly

Giovanni Squillero is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He leads the CAD group (Electronic CAD & Reliability) and serves on Politecnico's Joint Committee for Teaching and Ph.D. Steering Committee (Pure and Applied Mathematics).

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Hironori WashizakiView profile

Professor

University of GenoaItaly

Hironori Washizaki is a Professor at Waseda University 's School of Fundamental Science and Engineering and a Visiting Professor at the National Institute of Informatics. He serves as IEEE Computer Society 2025 President and has led initiatives in software engineering, ML design patterns, and IoT systems. His work bridges academia and industry through roles at SYSTEM INFORMATION CO.,LTD. and eXmotion Co., LTD. Research Interests: His work spans software engineering, quality assurance, ML/IoT design patterns, and education innovation. He leads the SmartSE professional education program and standardizes software engineering bodies of knowledge through ISO/IEC/JTC1/SC7/WG20 . Scientific Awards: Golden Core Member (IEEE CS) Spirit of Computer Society Award KDDI Foundation Award Science and Technology Award, MEXT Best Paper Awards at ICSE, CSEE&T, and IWESEP Leadership & Grants: He has secured major grants (JSPS, MEXT) and held editorial roles at IEEE Transactions on Emerging Topics in Computing, IJSEKE, and IEICE journals. As IEEE CS Japan Chapter Chair and SEMAT Japan Chapter Chair , he fosters international collaborations. Labs & Teams: He leads the Global Software Engineering Laboratory at Waseda, focusing on traceability, reuse, and quality. This lab drives projects like ProMeTA (program metamodel taxonomy) and Trace ANY (software maintenance metrics).

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Vadim ZaytsevView profile

Associate Professor

University of GenoaItaly

Vadim Zaytsev is an Associate Professor of Software Evolution at the University of Twente, specializing in software analysis, modelling, and restructuring since 2004. He has previously worked as a Chief Science Officer, developing compilers and analyzing migration projects, and his past affiliations include institutions in the Netherlands, Belgium, Germany, and Russia. His work bridges academia and industry, focusing on industrially relevant research, teaching, and prototype software development. Research Interests: Software evolution and structure elicitation Domain-specific languages (DSL) and cyber-physical systems (CPS) Automated program repair using large language models Modernity signatures in programming languages (PHP, Python, C#, Rust) Educational software assessment (Apollo++ tool, BabyCobol) Grammarware and code transformation (CFG to VPG converter) Recent Article Trends: His 2025 work explores large language models for automated program repair (SAC, GPCE), while earlier studies (2024) focus on DSL-based CPS modelling, learning-by-doing assessment pipelines, and modernity signatures in programming languages. His research often involves collaboration with students and interdisciplinary groups like HMI at UTwente. Teaching and Practice: He supervises students in research projects, teaches the MSc course Software Evolution , and contributes to curriculum re-accreditation efforts. His practice includes open-source tools (GPL-licensed CFG to VPG converter) and conference leadership roles (Program Co-Chair for SLE 2025 and ICT.OPEN 2025).

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Luca SpalazziView profile

Associate Professor

Marche Polytechnic UniversityItaly

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.

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Marco CiveraView profile

Assistant Professor

Polytechnic University of TurinItaly

Marco Civera is a Fixed-term Assistant Professor at the Department of Structural, Building and Geotechnical Engineering (DISEG), Polytechnic University of Turin, where he also contributes to the Interdepartmental Center SISCON – Safety of Infrastructures and Constructions. He is actively involved in teaching and research, with a strong focus on structural health monitoring, dynamics of structures, and civil infrastructure safety. His research interests include Structural Health Monitoring , Dynamics of Structures , Civil and Structural Engineering , Aerostructures , Critical Infrastructures , and Mechanics of Solids and Structures . He applies advanced techniques such as operational modal analysis, machine learning, and nonlinear modeling to assess structural integrity and performance. The recent publications highlight a strong trend in data-driven structural assessment, including the use of generative adversarial networks, meta-learning, clustering algorithms (e.g., DBSCAN), and Bayesian inference for real-time monitoring and damage detection. His work bridges civil and aerospace engineering, with applications in bridges, aircraft, and underground infrastructures. Scientific Awards: Top 2% most-cited scientist conferred by Stanford University published by Elsevier, Italy (2023) Marco Civera advises several PhD students and contributes to commercial research projects such as ISABHEL - Integrated Satellite and ground-based monitoring for BridgeHealth Lifetime assessment (2024–2026). He has also co-developed two patented medical devices: T_RESAP (Tendon Repair Surgical Applicator) and T–REM3DIE (Tendon Repair Medical Device) . His teaching spans multiple disciplines and includes courses in Structural Collapse and Monitoring, Dynamics of Structures, and Computational Mechanics across Civil, Petroleum, Biomedical, and Architectural Engineering programs. He is a member of research teams focused on Structural and Seismic Monitoring and Structural Engineering , contributing to both academic and industrial advancements in infrastructure safety.

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Sergio GrecoView profile

Professor

University of CalabriaItaly

Sergio Greco is Full Professor at University of Calabria's DIMES Department, Coordinator of the Computer Engineering Degree, and Vice-president of the Computer Engineering national Group. His research spans database theory, data integration, inconsistent data processing, and computational logic. Research Focus: Development of theoretical frameworks for data management including argumentation frameworks, knowledge base querying under inconsistency, and decentralized learning systems. Recent work integrates machine learning with formal reasoning methods. Honors: Best Paper Award at International Conference on Logic Programming (2020) Best Paper Award at RuleML Symposium (2014) Leads projects on cybersecurity and data management funded by EU and Italian Ministry of Research, coordinating national and international research groups.

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Lorena LOSIView profile

Associate Professor

University of Modena and Reggio EmiliaItaly

Lorena LOSI is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Maternal-Child and Adult Medical and Surgical Sciences. Her research focuses on molecular pathology, oncology, and immunohistochemistry, with an emphasis on genetic/epigenetic alterations in tumors such as colorectal and ovarian cancers. She leads the Histocytological and Molecular Pathology laboratory, investigating biomarkers for diagnosis, prognosis, and targeted therapies. Dr. LOSI teaches courses in pathological anatomy, histocytology, and molecular pathology for Medicine, Biomedical Sciences, and Biomedical Laboratory Techniques programs. Her educational efforts emphasize diagnostic methodologies, molecular techniques, and the integration of histopathology with clinical practice. Her recent research highlights include advancements in immunohistochemical diagnostics for placenta accreta spectrum disorders, proteomic studies in drug-resistant colorectal cancer, and the development of precision medicine approaches through targeted therapies. Her work bridges basic science with clinical applications, contributing to improved diagnostic accuracy and therapeutic strategies in oncology.

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Laura PalagiView profile

Professor

Sapienza University of RomeItaly

Laura Palagi is a Full Professor at Sapienza University of Rome, Department of Computer, Automation, and Management Engineering "Antonio Ruberti". She has been with the institution since 1996, progressing from Researcher to Associate Professor in 2005, and Full Professor since March 2020. She currently serves as Coordinator of the PhD program in Automatic Control, Bioengineering and Operations Research (ABRO) since February 2024 and is the GEP committee representative at the DIAG Department. Her research focuses on developing and analyzing methods for solving nonlinear optimization problems with continuous and discrete variables. Key research themes include decomposition methods for training Support Vector Machines and Deep Networks, methods for Mixed Integer Nonlinear Programming (MINLP), Semidefinite Programming (SDP), standard quadratic problems (StQP), and convex quadratic constrained problems. She also develops predictive machine learning models for healthcare applications and surrogate models for engineering. Her recent publications span optimization methods, machine learning applications in healthcare, sustainability assessment, and network design. Her work demonstrates a strong integration of theoretical optimization with practical applications across multiple domains. Continuous Optimization Awards 2020 Member Best Paper Award from Journal of Global Optimization Honorable Mention from Marguerite Frank Award jury for Best EJCO Paper 2024 EURO Doctoral Dissertation Award Professor Palagi teaches multiple courses including Optimization and Decision Science, Laboratory of Decision Science, Optimization Methods for Machine Learning, and Optimization for Medical programs. She serves as thesis advisor for numerous Bachelor's and Master's students in Management Engineering, Mechanical Engineering, and Data Science programs.

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Fabio PatriziView profile

Associate Professor

Sapienza University of RomeItaly

Fabio Patrizi is an Associate Professor in Computer Science at the Department of Computer, Control and Management Engineering (DIAG) at Sapienza University of Rome. He serves as Coordinator of the Bachelor in Information Engineering program at the Latina site. His academic career includes significant service roles such as Editorial Board Member for the prestigious Artificial Intelligence Journal (AIJ) since 2023, Area Chair for ICSOC 2023, and co-chair for the KR 2025 track on Knowledge Representation & Reasoning and Planning & Scheduling. Patrizi's educational background led to National Scientific Habilitation for Full Professorship for sector SC 09/H1 (now GSD 09/IINF-05). His research spans Formal Methods, Knowledge Representation, Machine Learning, Reasoning about Action, Planning in AI, Service-oriented Computing, and Business Processes. His work focuses on theoretical, methodological, and practical aspects including Behavior and Service composition, Planning programs, MAS Verification, Reasoning About Actions, Infinite-plan synthesis, Data abstraction techniques, and Reinforcement Learning with non-Markovian Rewards. His publication record includes over 70 scientific papers in top-level international journals and conferences. Recent research trends show a strong focus on temporal reasoning in reinforcement learning, planning frameworks, process mining, and verification techniques. His work bridges theoretical foundations with practical applications in AI planning and verification. ICDT Test of Time Award on Automatic verification of data-centric business processes (2009) RMIT Visiting Researcher's Award (2011) ICAPS 2024 Outstanding SPC Award Patrizi has supervised 2 PhD students and actively serves on program committees for major AI conferences including AAAI, IJCAI, ICAPS, AAMAS, KR, and ECAI. His research projects include MARLeN (Principal Investigator, 2023-2025), AIPlan4EU (Task Leader, 2021-2023), DRAPE (Principal Investigator, 2019-2022), WhiteMech (Participant, 2019-2024), TAILOR (Participant, 2020-2023), VerySynCopated (Principal Investigator, 2014-2016), ACSI (Participant, 2010-2013), and SM4All (Participant, 2008-2011). He is a member of the Data Management & Service-Oriented Computing and Artificial Intelligence & Knowledge Representation research groups at DIAG, contributing to collaborative efforts in advanced AI research and applications.

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Carlos Esteban BuddeView profile

Professor

University of TrentoItaly

Carlos Esteban Budde is a Professor in both the Department of Economics and Management and the Department of Information Engineering and Computer Science at the University of Trento, Italy. His research focuses on rare event simulation, formal methods, and cybersecurity, with particular emphasis on developing automated algorithms for importance splitting techniques applicable to high-reliability systems and fault trees. Education: PhD in Computer Science (2012-2017) from National University of Córdoba, Argentina. Thesis: "Automation of Importance Splitting Techniques for Rare Event Simulation." MSc in Computer Science (2010-2012) from National University of Córdoba, Argentina. Final project: "Fully measurable non-determinism in continuous probabilistic processes." BSc in Computer Analyst (2007-2010) from National University of Córdoba, Argentina. Professor Budde's research centers on rare event simulation and formal methods for analyzing stochastic systems. His work develops theoretical frameworks for automated importance splitting algorithms that can handle general stochastic models beyond Markovian assumptions. He implements these techniques in practical tools like FIG (Finite Improbability Generator) for reliability analysis of high-criticality systems, with applications spanning cybersecurity, infrastructure maintenance, and safety-critical systems. His interdisciplinary approach bridges theoretical computer science with practical engineering challenges in system reliability. His recent publications demonstrate a strong focus on quantitative security analysis using attack and fault trees, with increasing integration of machine learning techniques for predictive maintenance. Budde has made significant contributions to rare event simulation methods applicable to non-Markovian systems, extending formal verification techniques to hybrid systems where traditional model checking approaches fail. His work consistently emphasizes practical implementation and empirical validation through diverse case studies. Scientific Awards: MSCA Postdoctoral Fellowship (2022) for "Projection of Security Vulnerabilities caused by Exploits in Dependencies" Best short-paper award at QEST 2020 for "The Dynamic Fault Tree Rare Event Simulator" Best MSc grade point average award from National University of Córdoba (2012) Flag bearer of the Faculty of Mathematics, Astronomy, Physics, and Computer Science (2011) Professor Budde has supervised numerous MSc and BSc theses at University of Twente and National University of Córdoba, with students working on topics including Bayesian network applications, predictive maintenance, fault tree analysis, and statistical model checking. His research is supported by multiple international projects including CS4E (Cyber Security for Europe, H2020), SEQUOIA (Smart maintenance optimization), and SUCCESS (SecUre aCCESSibility for IoT). As an active member of the research community, Budde serves on program committees for major conferences including TACAS, QEST, and CSF, and has organized workshops such as PM 2021. His work bridges theoretical computer science with practical applications in system reliability and cybersecurity.

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Riccardo ScandariatoView profile

Professor

Polytechnic University of TurinItaly

Riccardo Scandariato is a full professor and head of the Institute of Software Security at Hamburg University of Technology (TUHH), Germany. He coordinates the International Master in Information and Communication Systems and has held academic positions at institutions like the University of Virginia, Politecnico di Torino, KU Leuven, and the University of Gothenburg before joining TUHH in 2020. Education: PhD in Computer Science from Politecnico di Torino (2004). Career highlights include leading interdisciplinary research in software security, vulnerability repair, and AI-driven cybersecurity solutions. Research focuses on secure software design, automated vulnerability repair, and empirical methods for cybersecurity. Key interests include microservices, IoT, and cyber-physical systems, with emphasis on developer-centric security practices and usable privacy features. Notable projects include SEC4AI4Sec (EU Horizon Europe) and KiThreat (CREATUM GmbH), addressing AI-augmented systems and GenAI-based software risks. Former projects include CASUS (automotive security assurance cases) and CyReV (automotive cyber resilience). Research team includes senior researchers and PhD students working on topics like secure code generation (Catherine Tony), vulnerability localization (Cuong Bui Quang), and ML-driven threat analysis (Torge Hinrichs). Alumni have contributed to areas like automotive systems, privacy in smart homes, and architectural threat modeling. Grants: EU-funded AssureMOSS (2020–2023), H2020, and VINNOVA-backed CASUS (2017–2021). Committees: PC member of major conferences like ECSA, ARES, and SANER. Steering committee for ARES. Labs/Teams: Leads the Institute of Software Security at TUHH, focusing on interdisciplinary tools for secure application design. Collaborates with industry partners like Volvo and CREATUM GmbH.

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Agricola EustachioView profile

Associate Professor

Vita-Salute San Raffaele UniversityItaly

Prof. Agricola Eustachio is an Associate Professor of Cardiology at Vita-Salute San Raffaele University, Milan, and Director of the Echocardiography Laboratory at San Raffaele Hospital. His roles include clinical cardiology, research leadership, and academic teaching in cardiology programs. Education: MD (1996) and Cardiology specialization (2000) from the University of Siena. He conducted postdoctoral research at the Erasmus MC Rotterdam (2002) and holds editorial roles in major journals like European Heart Journal of Cardiovascular Imaging and International Journal of Cardiology. Research focuses on echocardiography innovation (3D, stress echo, fusion imaging), valvular heart disease (mitral/tricuspid repair), and structural heart interventions. He leads clinical trials and strategic projects in these areas. Awards include the 2002 Young Investigator Award (EUROECHO) and Best Poster/oral communication honors in 1999. Teaching: Supervises diploma theses in cardiology across multiple Italian universities. Editorial roles include associate editorships in Cardiovascular Ultrasound and International Journal of Cardiology. He also chairs task forces on interventional cardiac imaging and serves in professional societies like the European Association of Cardiovascular Imaging (EACVI). Key contributions include over 150 peer-reviewed publications (H-index 37) and co-authorship of European guidelines on valvulopathies and echocardiography standards.

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Leonardo RicottiView profile

Associate Professor

Sant'Anna School of Advanced StudiesItaly

Leonardo Ricotti, Ph.D. (b. 02/03/1982), is an Associate Professor of Bioengineering at Scuola Superiore Sant'Anna and Head of the Regenerative Technologies Lab at the BioRobotics Institute. He teaches courses in Micro-Nano Robotics and Biomaterials at the M.Sc. in Bionics Engineering and oversees undergraduate and PhD programs. His research integrates robotics, biomaterials, molecular biology, and nanotechnology to address challenges in regenerative medicine and biohybrid systems. He has supervised 13 PhD students and 43 M.Sc. theses, focusing on biomaterials, artificial organs, and bioartificial systems. Key achievements include: Recipient of the 2012 Massimo Grattarola Award for Best PhD Thesis in Bioengineering 2014 European Biomaterials and Tissue Engineering Doctoral Award Regional/national prizes via spin-off company Relief s.r.l. (2018) Research Focus: Ricotti's work spans regenerative medicine, nanocomposite materials, and ultrasound-driven therapies. His lab develops piezoelectric materials for cardiac repair, injectable hydrogels for cartilage regeneration, and biohybrid robots powered by engineered muscle tissues. He also pioneers remote ultrasound diagnostics for osteoarthritis and inflammatory conditions. Current Projects: Coordinates the EU-funded ADMAIORA project (H2020) and leads initiatives in implantable device refilling via ingestible capsules. His work bridges lab-to-clinic applications, including a pilot study on urinary incontinence devices. Awards Section: Massimo Grattarola Award (2012) European Biomaterials Doctoral Award (2014) Relief s.r.l. Prizes (2018) Advising/Grants: Supervised 13 PhD students and 43 M.Sc. theses. Principal Investigator for EU, INAIL, and industry-funded projects, including ADMAIORA (H2020). Labs/Teams: Leads the Regenerative Technologies Lab at Scuola Superiore Sant'Anna, focusing on biohybrid robotics, piezoelectric biomaterials, and ultrasound-driven therapies.

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Stefano GuizzardiView profile

Associate Professor

University of ParmaItaly

Stefano Guizzardi is an Associate Professor at the University of Parma , affiliated with the Department of Medicine and Surgery . His career spans decades of teaching and research in histology, embryology, and biomedical technologies. Education: University of Bologna (MD, 1983) PhD in Biomedical Technologies (1989) Research Interests: Guziardi's work focuses on connective tissues and biocompatible materials , particularly their osteoinductive and osteostimulatory properties. He explores endosseous implant surfaces , synthetic apatites , and platelet gel for bone repair, alongside nucleotides/nucleosides in cellular biology. His recent publications highlight advancements in histology education using AI and digital tools. Notable Trends in Publications: His 2025 articles emphasize natural language processing , large language models , and technology-driven pedagogy in biomedical education. Topics include literature screening efficiency , prompt engineering , and automated journal recommendation systems . Scientific Awards: Venosmine Award (1984) for innovative phlebology research Teaching Roles: Guizzardi has taught Histology and Embryology at multiple levels since 1990, including for Dentistry , Physiotherapy , and Neuropsychomotor Therapy programs. He collaborates with the Institute of Science and Technology for Ceramics (ISTEC-CNR) and institutions in Bologna and Varese. Contact: Office at the Integrated Biotechnology Complex, University of Parma .

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