جستجوی استاد راهنمای دانشگاهی

• Software Engineering
• Deep Learning
• Human-Computer Interaction
• +۷ مورد دیگر

Prof. Dr. Chunyang Chen is a full professor in the Department of Computer Science at the Technical University of Munich (TUM) in Heilbronn, Germany, and an adjunct professor at Monash University, Australia. He is a core member of the Munich Data Science Institute, board member of Heilbronn Data Science Center, and fellow at Fortiss. His research spans Software Engineering, Deep Learning, and Human-Computer Interaction (HCI), focusing on AI/ML, NLP, and program analysis applications. PhD from Nanyang Technological University (NTU), Singapore His research explores three primary domains: AI-Driven Mobile App Development : Focused on requirement elicitation, UI design, code generation, and GUI testing using LLMs, NLP, and lightweight program analysis. Software Repository Mining : Involves library/API migration, collaborative editing, query reformulation, and thesaurus construction. Deep Learning Security : Examines robustness and security in mobile apps, including on-device model attacks, backdoor attacks, phishing attacks, and defense mechanisms. His recent publications highlight trends in LLM applications for software testing, bug replay, accessibility, and dataset construction. Awards include Best Paper Honorable Mention at CHI 2024, DECRA, ACM SIGSOFT Early Career Award, multiple Distinguished Paper Awards, and the Chinese Government Award for Outstanding Self-financed Students Abroad. PhD students: Shengcheng Yu, Yanqi Su, Mark Huasong Meng, Wenchao Gu, Zhen Tao, Kai Huang, Sidong Feng, Yujin Huang, Jian Gu Master/Bachelor students: Dustin Minh Duc Vu, Jason Siu, Ruiqi Dong, Minh Nguyen, An-Chieh Chang, Chao Wu, Yujin Huang, Ishan Joshi, Xinyan Li Chunyang Chen has supervised numerous students across institutions including TUM, Monash University, Chinese Academy of Sciences, ANU, and others. His teaching portfolio includes courses on Generative AI, software engineering, and programming foundations. He actively contributes to academic service as a guest editor, program committee member, and reviewer for top-tier conferences and journals.

Li Liمشاهده پروفایل

استاد

• Mobile Software Engineering
• Intelligent Software Engineering
• Software Security
• +۶ مورد دیگر

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.

• Software Engineering
• Mobile Applications Testing
• Web Application Testing
• +۱۵ مورد دیگر

Maurizio Morisio is a Full Professor at the Department of Control and Computer Science (DAUIN), Polytechnic University of Turin, where he is also a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. He has held numerous leadership roles in national and international research projects and academic events. University: Polytechnic University of Turin Department: Department of Control and Computer Science (DAUIN) Research Affiliation: SmartData@PoliTO, SOFTENG Research Group Email: maurizio.morisio@polito.it His research interests include software engineering, mobile and web application testing, energy efficiency of software, machine learning, data science, and green software. He has led significant research in empirical software engineering, gamification of testing, and user-centric service platforms. The recent publications highlight a strong focus on GUI testing , gamification in education and testing , and software process improvement . These works reflect interdisciplinary integration of software engineering with human factors, education, and AI. Scientific Awards and Editorial Roles: Editor-in-Chief of IEEE SOFTWARE since 2008 Program Chair of major conferences including ICSR, ESEM, and GREENS workshops Advising and Grants: He has advised multiple PhD students, including Anna Arnaudo and Simone Leonardi. He has served as the Scientific Manager or Director on over 20 research projects funded by EU, national, regional, and commercial sources, including FP6, Clean Sky, FIRB, and industrial contracts in data science, AI, and software engineering. Research Groups and Labs: He is a key member of the SOFTENG - Software Engineering Group (DAUIN) and contributes to the SmartData@PoliTO center, focusing on data-intensive systems and AI applications in software engineering.

Marco Torchianoمشاهده پروفایل

استاد

• Software Engineering
• Empirical Software Engineering
• Green Software
• +۴ مورد دیگر

Marco Torchiano is a full professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino, Italy, and a Senior Member of the IEEE. His research focuses on green software, UI testing methods, open-data quality, and software modeling notations, employing empirical software engineering methodologies. Current academic affiliation: Professor at Politecnico di Torino Research interests: Software Engineering, Empirical Studies, Software Testing, Software Modeling, Data Quality, Data Visualization His recent work explores gamification in testing frameworks (GAppium, GERRY), accessible development tools (VS Code extension), and Android GUI testing challenges (multi-device robustness, widget layout analysis). He has also published on UML modeling with LLMs and Kotlin's impact on Android code maintainability. Contact: marco.torchiano@polito.it . Social media: Twitter @mtorchiano , Mastodon @mtorchiano@mastodon.uno .

• Artificial Intelligence
• Neuromorphic Computing
• Brain-inspired Computing
• +۱۳ مورد دیگر

Vittorio Fra is a Fixed-term Assistant Professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino, where he conducts research in artificial intelligence, neuromorphic computing, edge computing, and robotics. He is a member of the PIC4SeR Interdepartmental Center for Service Robotics and contributes to interdisciplinary research bridging engineering, nanotechnology, and smart urban systems. His research interests center on AI and neuromorphic computing for industrial and IoT applications , with strong emphasis on brain-inspired computing, memristive devices, and nanoscale technologies. His work spans from low-level hardware characterization to high-level algorithm design, integrating machine learning, bio-inspired computing, and scientific simulation. He actively explores neuromorphic solutions for real-world edge applications such as human activity recognition, smart traffic control, and assistive technologies like Braille readers. The trend across his recent publications (2022–2025) reveals a consistent focus on deploying spiking neural networks and neuromorphic architectures on commercial edge devices, optimizing neural execution, developing benchmarking tools (e.g., NeuroBench, WiN-GUI), and validating neuromorphic solutions on practical problems like Sudoku and the knapsack problem. His work bridges theoretical AI with applied engineering, targeting sustainability and innovation in infrastructure and urban communities. Scientific Awards: No scientific awards explicitly mentioned in the text. Advising and Grants: Vittorio Fra supervises Filippo Aisa , a PhD candidate in Electrical, Electronic, and Communications Engineering. He leads a commercially funded research project titled Supporto allo sviluppo di un smart digital water distributor monitoring system (2025–2026) , serving as the Scientific Responsible. His teaching roles include PhD instruction, course collaboration, and invited membership in academic councils across engineering and planning programs. Labs and Research Teams: He is a member of the PoliTO Interdepartmental Centre for Service Robotics (PIC4SeR) , a multidisciplinary research center focused on robotics for societal applications. His collaborations span multiple institutions and projects, involving teams working on neuromorphic ecosystems (e.g., Lava-Loihi), wireless sensor networks, and brain-inspired computing frameworks.

• Software Engineering
• Gamification
• Empirical Software Engineering
• +۱۱ مورد دیگر

Riccardo Coppola is a tenure-track Assistant Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, Italy. He is affiliated with the College of Management and Production Engineering and the College of Computer, Film, and Mechatronics Engineering. His research and teaching focus on software engineering, gamification, empirical methods, and the integration of artificial intelligence in software development. Education: While formal education details are not explicitly mentioned in the provided text, his academic position and research supervision imply a doctoral degree in a relevant field, likely in Computer Science or Software Engineering. Research Interests: Riccardo's research spans several cutting-edge areas in software engineering and computer science. He investigates gamification in software testing and education, aiming to improve engagement and effectiveness. He explores the application of large language models and AI in software modeling and development, particularly in UML and requirements engineering. His work also addresses accessibility in software development , empirical software engineering , and ethical concerns in AI , such as gender stereotypes in language models. His scientific disciplinary sector is IINF-05/A - Information Processing Systems. Publication Trends: His recent publications (2023–2025) demonstrate a strong focus on the intersection of gamification and software engineering education, particularly using UML and BPMN. There is a growing emphasis on leveraging large language models for automated modeling tasks and analyzing their societal impact. His work is predominantly empirical, involving experimental studies, tool development, and longitudinal analyses, published in top software engineering venues. Scientific Awards: No specific awards or fellowships are mentioned in the provided text. Advising and Grants: Riccardo actively supervises three PhD students: Anna Arnaudo (on AI and software engineering), Lorenzo Laudadio (on gamified end-to-end testing), and Giacomo Garaccione (on gamification and automated techniques). He is a member of the SOFTENG research group and involved in competitive research projects like ASSISTANTS (funded by PNRR Mission 4). He also leads several commercial research and training projects, including the Software Testing Academy and courses on C++ and Python, serving as the Scientific Manager. Labs and Teams: He is a core member of the SOFTENG - Software Engineering Group (DAUIN) at Politecnico di Torino, which focuses on empirical and innovative approaches to software development, testing, and education.

Luca Arditoمشاهده پروفایل

دانشیار

• Software Engineering
• Mobile Computing
• Gamification in Education
• +۳ مورد دیگر

Luca Ardito is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research focuses on software engineering methodologies, mobile computing, and gamification strategies in education and testing. His work integrates technical domains such as Android development, GUI testing automation, energy efficiency in software systems, and IoT security. Ardito is a core member of the SoftEng research group, contributing to projects like SIFIS-home for privacy-preserving smart home systems. Research Interests: Advanced GUI testing techniques for Android and web applications Application of gamification in software education and quality assurance Energy-aware software development and green computing practices Certification frameworks for IoT device firmware and cybersecurity His recent work emphasizes empirical studies on gamification in UML modeling education, Kotlin adoption in Android ecosystems, and innovative approaches to firmware certification. Ardito has pioneered tools like Umlegend for gamified UML learning and Bipmin for BPMN education. Grants & Collaborations: Leading multidisciplinary projects combining computer science with agriculture (e.g., UAV-based hazelnut tree characterization) Active in industry partnerships for mobile testing frameworks (e.g., TOGGLE library) Labs & Teams: Core contributor to Politecnico's SoftEng Research Group , collaborating on projects like SIFIS-home (FP7/ERC-funded).

Riccardo Coppolaمشاهده پروفایل

پژوهشگر

• Automated GUI Testing
• Software Metrics
• Non-functional Properties Evaluation
• +۴ مورد دیگر

Dr. Riccardo Coppola is a post-doctoral researcher at Politecnico di Torino's Department of Control and Computer Engineering. With a PhD in Control and Computer Engineering (2021), his work focuses on automated GUI testing, gamification mechanics in software engineering, and non-functional property evaluation. He actively contributes to conferences like ICSE, ESEM, and A-TEST as organizer, chair, and author. M.Sc. & PhD: Politecnico di Torino Current Role: Researcher Research spans: Automated GUI testing for web & mobile applications Software metrics for gamification effectiveness Non-functional property evaluation (maintainability, accessibility) Integrating gamification mechanics into testing frameworks His publications demonstrate trends in gamification-driven testing tools, visual element identification algorithms, and LLM applications for UML modeling. Conference contributions show interdisciplinary focus bridging gamification, accessibility, and traditional software engineering. Roles include: 2025 Gamify Workshop Organizer & Session Chair 2024 A-TEST Programme Committee 2023 INTUITESTBEDS Organizing Committee

• Artificial Intelligence
• Bioinformatics
• Neuromorphic Computing
• +۱۲ مورد دیگر

Gianvito Urgese is an Associate Professor at the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST) at Politecnico di Torino, where he is also a member of the EDA research group and the SmartData@PoliTO Big Data and Data Science Laboratory. His academic and research activities are deeply integrated into the Department of Control and Computer Engineering (DAUIN), reflecting his interdisciplinary focus on computer engineering and data science. His research spans artificial intelligence, bioinformatics, neuromorphic computing, edge computing, embedded systems, and Industry 4.0. He investigates optimized task-specific algorithms, designs heterogeneous software-hardware architectures for bioinformatics acceleration, and develops computational paradigms for neuromorphic platforms. His work also extends to digital lifecycle management in Industry 4.0, aligning with Sustainable Development Goals 9, 11, and 12. His recent publications reveal a strong trend in neuromorphic computing and quantum-inspired optimization, with contributions to benchmarking frameworks (NeuroBench), neuron-based encoding tools (WiN-GUI), and quantum annealing methods. These works are published in high-impact journals such as Nature Communications , IEEE Transactions on Emerging Topics in Computing , and Science Translational Medicine , indicating a multidisciplinary and high-impact research profile. Urgese is actively involved in supervising PhD students and teaching graduate-level courses such as Neuromorphic Computing and Engineering, Applied AI and Machine Learning, and System-on-Chip Architecture. He serves on doctoral colleges and course committees, demonstrating leadership in academic governance. Scientific and Research Leadership: Principal Investigator (Scientific Manager) in multiple commercial research projects on data analytics, fog computing, and firmware design (2019–2025). Supervision of PhD research on neuromorphic systems, bioinformatics algorithms, and AIoT solutions. Active contributor to European-funded initiatives in neuromorphic and Industry 4.0 domains. He collaborates with multidisciplinary teams, including researchers at the Candiolo Cancer Institute and participants in the Telluride Neuromorphic Cognition Engineering workshop, highlighting the collaborative and applied nature of his work.

Arti Ahluwaliaمشاهده پروفایل

استاد

• In-vitro models
• Biomaterials
• Tissue Engineering
• +۳ مورد دیگر

Arti Ahluwalia is Professor of Bioengineering at the University of Pisa's School of Engineering, affiliated with the Research Center 'E. Piaggio' and serving as Director of the Interuniversity Center for the Promotion of the 3Rs Principles in Teaching and Research (Centro 3R). With a multidisciplinary background spanning physics, instrumentation science, and bioengineering, her research integrates biomaterials, microfabrication, and computational modeling. Research focuses on human-based organ and system models using soft materials, cell derivatives, and intelligent bioreactor design. Current projects include: in-vitro models of metabolic disease/aging, nanotoxicology, advanced imaging, and open biomedical engineering education. Her work has produced commercialized multicompartment bioreactors through spin-off companies Kirkstall Ltd and IVTech srl. Recent publications demonstrate strong emphasis on open-source medical devices, 3Rs principles implementation, and computational platforms for nanotoxicology and cellular construct design. Key themes include regulatory frameworks for open-source medical technology, diagnostic tools for resource-limited settings, and ethical alternatives to animal testing. Teaching encompasses Biomechanics of Tissues, Micro & Nanobioscopy, and Design Principles for Bionics Engineering across undergraduate and graduate biomedical engineering programs.

• Cryptography
• Post-Quantum Cryptography
• Cryptanalysis
• +۳ مورد دیگر

Guglielmo Morgari is a researcher at the Department of Mathematical Sciences 'G. L. Lagrange' (DISMA) at Politecnico di Torino. He serves as an external tutor for PhD students in the Cryptography and Number Theory research group, advising Elena Broggini, Marco Rinaudo, Giuseppe D'Alconzo, and Edoardo Signorini. His research focuses on cryptography, post-quantum security, and cryptanalysis. Current Affiliation: Politecnico di Torino, DISMA Academic Role: Researcher (external tutor) Research areas include: Cryptography Quantum Key Distribution Public-Key Cryptosystems Coding Theory Cryptanalysis Recent publications emphasize quantum-safe communication infrastructure, post-quantum encryption adaptations, and cryptographic sequence analysis. His work spans theoretical foundations and hardware implementations like quantum random number generators.

Leonardo Marianiمشاهده پروفایل

استاد

• Software Engineering
• Automated Testing
• GUI Testing
• +۳ مورد دیگر

Leonardo Mariani is a Professor at the University of Milan Bicocca, specializing in software engineering with a focus on software testing and analysis. He actively leads and participates in European and national research projects such as the ERC-funded 'Learn' and 'AST' projects, as well as H2020 NGPaaS. His research spans automated testing, GUI testing, AI-based code assistants, and cloud system monitoring. He has contributed to improving software testability, runtime enforcer testing, and AI-driven development tools. His work emphasizes practical applications in mobile and edge computing environments. Recent publications highlight innovative approaches to test case generation, energy-efficient AI systems, and ethical/legal implications of AI-generated code. Mariani's scientific achievements include the ERC Consolidator Grant 2014 and Proof of Concept funding, alongside senior memberships in IEEE and ACM. As principal investigator in multiple projects, he bridges academic research with industry needs, focusing on Kubernetes testing, Android compatibility, and formal methods in software quality. His collaborative efforts involve advising students and coauthoring over 233 publications.

• Agile software development
• Bias detection in data and algorithms
• Data integrity
• +۱۷ مورد دیگر

Marco Torchiano is a Full Professor at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino , Italy. He is a member of the SmartData@PoliTO laboratory and the SOFTENG - Software Engineering Group . Research Interests : Agile software development, bias detection, data integrity, software testing, gamification, empirical software engineering, and software maintenance. Disciplinary Expertise : Covers software engineering, human-computer interaction, web systems, and data science. His research focuses on improving software quality through empirical studies, gamification of testing processes, and bias detection in algorithms. He has developed tools like GAppium for gamified testing and MINOS for GDPR compliance analysis. Recent Trends in his publications include gamification applied to UML/BPMN modeling, Android testing frameworks, algorithmic fairness, and technical debt management in industrial projects. Scientific Awards : EGOV-DeDEM-ePart Best Paper Award (Category 1) - IFIP (2020) ICPC Best Paper Award - IEEE (2017) PROMISE Best Paper Award - PROMISE Program Committee (2017) EESSMod Best Paper Award - EESSMod Program Chairs (2012) Best Paper Award - COTS Based Software Systems Conference (2004) Fellow - Nexa Center for Internet and Society (2016-) Fellow - IEEE (2015-) Senior Member - IEEE (2015-) Advisory Roles : Supervises PhD students in Computer Systems Engineering and Artificial Intelligence. Grants : Leads the EndGame project (2023-2025) on gamified end-to-end testing and a PRIN project on software migration to web architectures.

• Software Engineering
• Gamification
• Mobile Computing
• +۷ مورد دیگر

Giacomo Garaccione is a Ph.D. candidate in Computer and Systems Engineering at the Polytechnic University of Turin , affiliated with the Department of Control and Computer Engineering (DAUIN) and the SOFTENG - Software Engineering Group . He holds an MSc in Computer Engineering (Software) from the same institution. Current Role : Ph.D. candidate (38th cycle, 2022-2025) Teaching : External lecturer and teaching assistant for Information Systems and Software Engineering courses in Engineering and Management and Computer Engineering programs (2022-2025). His research focuses on applying gamification to software engineering education , with emphasis on conceptual modeling and GUI testing . He develops gamified tools like UMLegend and GERRY , integrating artificial intelligence and natural language processing for automated model validation and feedback. Publications analyze gamification’s impact on student productivity and perception in UML/BPMN education. Scientific recognition : Nominated for merit awards (2025). Collaborator on multiple studies involving large language models and gamified IDE plugins , with ongoing work to create a comprehensive gamified environment for software modeling and requirements training.