جست‌وجوی استاد و پژوهشگر

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).

Luca Spalazziمشاهده پروفایل

دانشیار

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

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

• Ecotoxicology
• Marine Ecology
• Environmental Pollution
• +۶ مورد دیگر

Elisa BERGAMI is an Associate Professor at the Department of Life Sciences, University of Modena and Reggio Emilia, Italy, specializing in Ecotoxicology and Marine Pollution research. She teaches courses such as Anthropogenic alterations of ecosystems , Coding in R for data analysis , and Management of bioresources and ecosystem services , with a focus on Nanoparticle Toxicity , Marine Biodiversity , and Data Analysis in ecological contexts. Her work addresses environmental challenges through the lens of the UN Sustainable Development Goals . Teaches Ecotoxicology with case studies on plastic pollution, heavy metals, and climate change Directs Experimental Biology Laboratory modules on marine organism analysis and nanoparticle interactions Her research interests include: Environmental impacts of nanoplastics and engineered nanomaterials Ecotoxicological effects on marine invertebrates Development of bioindicators for pollution Ecological risk assessment methodologies Antarctic ecosystem contamination Recent publications highlight her work on: Nanoplastic interactions with marine immune systems Toxicity mechanisms in polar and Mediterranean species Plastic colonization by microbial communities Combined chemical-nanoparticle stressors She leads the SCAR Plastic in polar environment Action Group and emphasizes hands-on laboratory training in courses covering DNA barcoding, microbiological testing, and biochemical analysis using marine models like Mytilus galloprovincialis and Paracentrotus lividus.

Giovanni Sparacinoمشاهده پروفایل

استاد

• Biomedical Signal Processing
• Physiological Systems Modeling
• Continuous Glucose Monitoring
• +۳ مورد دیگر

Giovanni Sparacino is a Full Professor at the Department of Information Engineering, University of Padova, Italy. He holds teaching responsibilities for courses in Medical Informatics and Biological Data Analysis, while actively contributing to PhD supervision and departmental leadership roles including Vice-Head (2016/17) and Vice-Director of the PhD School in Information Engineering. Education: MSc in Electronics Engineering (summa cum laude), University of Padova (1992) PhD in Bioengineering, Polytechnic of Milan (1996) His research focuses on Biomedical Signal Processing, Computational Neuroscience, and Physiological Systems Modeling. Key contributions include glucose dynamics modeling, nonlinear signal analysis, and advanced algorithms for continuous glucose monitoring sensors. He has extensive experience in multimodal neuroimaging (EEG, fNIRS) and parameter estimation techniques. Notable research trends include: Development of machine learning approaches for diabetes management Integration of EEG and fNIRS for cognitive workload assessment Creation of wearable biomedical devices for foot pressure monitoring Advancements in physiological modeling and deconvolution techniques He has led the Bioengineering track PhD program since 2012 and contributed to establishing a web-based platform for multimodal neuroimaging data analysis.

FRANCA STABLUMمشاهده پروفایل

استاد

• Cognitive Psychology
• Neuropsychology
• Cognitive Rehabilitation
• +۴ مورد دیگر

Prof. Franca Stablum is a Full Professor at the University of Padua. Her research focuses on cognitive psychology, neuropsychology, and rehabilitation, particularly in attention mechanisms, executive functions, and time perception across populations including older adults and neurological patients. She has pioneered computerized cognitive training tools and neurorehabilitation methodologies. Her work integrates experimental psychology, neuroimaging, and computational modeling. Key areas include: 1) Temporal processing disorders in neurological conditions (e.g., Parkinson's, MS); 2) Prospective memory deficits in brain injury patients; 3) Developmental time perception studies in children; 4) Digital interventions for cognitive aging. She has developed assessment tools like the 'Virtual Kitchen' for executive function evaluation and the SWIFT collaborative web-based training platform. Over 200+ publications span cognitive neuroscience, clinical neuropsychology, and rehabilitation engineering. Her research emphasizes translational approaches, bridging basic science with clinical applications. Active in international collaborations, she has contributed to standardization efforts in cognitive screening (e.g., Italian norms for Addenbrooke's Cognitive Examination).

Enrico Masalaمشاهده پروفایل

دانشیار

• Multimedia Communications
• Video Coding
• Digital Image Processing
• +۷ مورد دیگر

Enrico Masala is Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, where he also serves as Deputy Coordinator of the College of Computer, Film and Mechatronics Engineering. He is a member of the Internet Media Group (IMG) and the Interdepartmental Center for Service Robotics (PIC4SeR), and actively contributes to multimedia systems research and education. His research interests include multimedia communications, video coding, digital image processing, and media quality assessment, with a strong focus on AI and machine learning applications. His work spans algorithm development for quality optimization in multimedia transmission over packet networks, including wireless and cloud-based systems. The recent publications highlight a strong trend in leveraging deep learning and AI to model human perception in multimedia quality assessment. Topics include artificial observers, modeling of subjective scoring behavior, and individualized quality prediction—indicating a shift toward more personalized and human-aligned evaluation frameworks in multimedia systems. Elsevier Audioslides competition (2013) ScienceDirect TOP25 Hottest Articles (2012) Fellow - IEEE (2014–) IEEE Senior Member Enrico Masala has served as Scientific Manager for multiple commercial research projects, including the Radio 3.0 streaming platform and V-POP multimedia transmission project. He has also acted as evaluator for CHIST-ERA and the European Commission. He teaches core courses such as Internet Video Streaming and Web Applications , and has delivered international lectures and keynote talks, including at BUPT in China and CONIELECOMP in Mexico. He leads the JEG-Hybrid project within the Video Quality Experts Group (VQEG) and is active in international research networks related to next-generation multimedia networking and cloud-based media delivery.

Fabio Fioravantiمشاهده پروفایل

استاد

• Constrained Horn Clauses (CHCs)
• Constraint Logic Programming (CLP)
• Program Transformation
• +۶ مورد دیگر

Fabio Fioravanti is a Professor in Computer Science at the G.d'Annunzio University of Chieti-Pescara , affiliated with the Department of Economics . He is a research associate at IASI-CNR and a member of the MAP group . Research Interests Fabio's research focuses on Constrained Horn Clauses (CHCs) and Constraint Logic Programming (CLP) for program analysis and verification Program transformation methodologies for software development, verification, and synthesis Artificial Intelligence applications in cybersecurity and bioinformatics Systems biology modeling using StateCharts Economic evaluation of IT security investments via defense trees Committee Roles & Projects He has held leadership roles in workshops like HCVS and LOPSTR , and participated in research projects including "Vincoli e Preferenze" (MIUR PRIN 2005) and "SIMBIOSYS" (MIUR PRIN 2008). He also contributed to the VeriMAP verification tool. Teaching & Publications Fabio teaches Big Data , Cybersecurity , and Web Programming . His work spans software verification, security investment analysis, and interdisciplinary applications in systems biology.

Andrea Poliniمشاهده پروفایل

استاد

• Blockchain Technology
• Business Process Modeling
• IoT Systems
• +۵ مورد دیگر

Andrea Polini is a Full Professor at the University of Camerino, focusing on interdisciplinary research at the intersection of blockchain technology, business process modeling, IoT systems, and software engineering. His work emphasizes formal methods for ensuring correctness in distributed systems, smart contract security, and model-driven approaches for IoT integration. Research interests include blockchain-based choreography execution, mutation testing strategies for smart contracts (e.g., ReSuMo and SUMO tools), and frameworks for IoT application portability (X-IoT). He also investigates process mining in public administration and humanitarian contexts, such as analyzing collaboration in crisis mapping platforms like the HOT Tasking Manager. Polini’s contributions span over 60 publications since 2014, with a strong focus on practical tools and methodologies (e.g., BProVe for business process verification, FloBP for IoT-enhanced processes). His work bridges theoretical computer science with real-world applications in healthcare, urban mobility (Tangramob framework), and disaster response systems.

Mariano Ceccatoمشاهده پروفایل

دانشیار

• Security Testing
• Penetration Testing
• Code Hardening
• +۵ مورد دیگر

Mariano Ceccato is an Associate Professor in the Department of Computer Science at the University of Verona, Italy. With a PhD in Computer Science from the University of Trento (2006), he has led numerous publicly funded and industrial research projects. His expertise includes security testing, penetration testing, code hardening, and empirical studies. Principal Investigator in multiple research initiatives Visiting Research Scientist at the University of Luxembourg Author/co-author of over 100 peer-reviewed papers Research Focus His work spans Android security, Ethereum smart contracts, REST APIs, and software protection techniques. Key contributions include: Security testing frameworks using reinforcement learning Advanced static analysis for Ethereum bytecode Novel obfuscation strategies for Java/Android Empirical studies on security report usability Comparative analysis of malware detection techniques Scientific Contributions He has received multiple awards including the Best Paper at IEEE ICST 2022, Best Research Paper at IEEE/ACM ICSE 2023, and ACM Distinguished Paper awards.

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

Riccardo Lazzerettiمشاهده پروفایل

دانشیار

• Privacy-Preserving Technologies
• Secure Multi-Party Computation
• Biometric Security
• +۵ مورد دیگر

Riccardo Lazzeretti serves as Associate Professor at Sapienza University of Rome since September 2022, following progression from Assistant Professor roles (RTD-A/B) at the same institution from 2017-2022. His academic trajectory includes post-doctoral research at the University of Siena's VIPP group, a research grant at the University of Padua, and industry experience at Italian startup Cynny s.p.a. His educational foundation comprises: MSc in Computer Science Engineering, University of Siena (2007) PhD in Information Engineering, University of Siena (2012) Lazzeretti's research centers on privacy-preserving technologies with emphasis on Secure Multi-Party Computation for encrypted signal processing. His work spans biometric security (including multi-biometric authentication), IoT security protocols, blockchain applications in healthcare, and social network misinformation detection. Recent publications demonstrate deep integration of cryptographic techniques with machine learning for resource-constrained devices and critical infrastructure protection. Analysis of his 15 most recent publications reveals dominant trends in IoT/drone security (32% of works), browser/API vulnerabilities (13%), and privacy-preserving architectures (27%). His research consistently bridges theoretical cryptography with practical system implementations, particularly for emerging technologies like NDN and programmable data planes. His scholarly recognition includes: SIGMM Test of Time Paper Honourable Mention (2021) for Multimedia Security contributions IET Biometrics Premium Best Paper Award (2021) Lazzeretti has supervised graduate students at the University of Siena and secured research funding through collaborations with NATO's CMRE, Digital Catapult (UK), and IMT Lucca. Current projects include privacy-preserving consensus algorithms for IoT and blockchain-based health applications. He maintains active partnerships with European research entities including Centre for Maritime Research and Experimentation and Digital Catapult. His laboratory affiliations encompass the VIPP research group at University of Siena and ongoing collaborations with Sapienza's cybersecurity initiatives, focusing on cross-disciplinary teams integrating signal processing, cryptography, and machine learning expertise.

• Adversarial Machine Learning
• Explainability
• Cybersecurity
• +۳ مورد دیگر

Maura Pintor is an Assistant Professor at the University of Cagliari, Italy. Her research focuses on adversarial machine learning, explainability methods, and cybersecurity applications. She holds an MSc in Telecommunications Engineering (2018) and a PhD in Electronic and Computer Engineering (2022), both from the University of Cagliari. Her work emphasizes robustness in AI systems, including defenses against adversarial examples, secure model updates, and dataset development for testing adversarial robustness. She has contributed to frameworks like SecML for explainable machine learning and led projects such as RAID and Attackbench for evaluating adversarial defenses. Her research spans neural network pruning, over-parameterization effects, and query-efficient adversarial attacks on phishing detectors. She is affiliated with the PRALab, where she explores AI security in autonomous systems and malware detection. Key areas include continual learning for malware detection, adversarial attacks on deep reinforcement learning, and model security in edge computing environments. She actively publishes in top venues like the ACM Workshop on Artificial Intelligence and Security (AISec).

Gabriel E. Hineمشاهده پروفایل

پژوهشگر

• Biometrics
• Signal Processing
• Information Security
• +۱۳ مورد دیگر

Gabriel E. Hine is a Postdoc researcher at the Biometric Systems and Multimedia Forensics Lab within the Department of Engineering at Roma Tre University, Italy. He is actively engaged in research at the intersection of signal processing, biometrics, and information security, and contributes to teaching in advanced signal processing and biometric systems. Bachelor’s Degree in Electronic Engineering, Roma Tre University (2013, cum laude) Master’s Degree in Information and Communication Technology Engineering, Roma Tre University (2015, cum laude) PhD in Applied Electronics, Roma Tre University (2018) Research collaboration at Telefonica I+D, Barcelona (2016) Research involvement in EU H2020 ENCASE and PRIN 2011/2012 projects His research focuses on biometric cryptosystems, template protection, and privacy-preserving biometric recognition, with significant contributions to fingerprint, palmprint, EEG, and signature-based systems. He has also conducted influential work on online social media dynamics, particularly analyzing 4chan’s /pol/ forum. The analysis of his recent publications reveals a strong trend in developing secure and unlinkable biometric templates using deep learning, sparse signal representations, and zero-leakage frameworks. His work spans both theoretical formulation and experimental validation on real-world data, particularly in finger-vein and palm-vein recognition. He also explores novel biometric modalities such as in-air 3D signatures and resting-state EEG. Best Paper Runner-Up, ICWSM-17 (2017) Selected as 'Best of Arxiv' paper Widely covered in Nature , MIT Technology Review , The Independent , Vice , and Italian media Hine has served as a lecturer and teaching assistant for courses including 'Biometric Systems' and 'Signal Theory' at Roma Tre University. He has led a didactic laboratory on biometric systems, guiding students in implementing and analyzing biometric recognition solutions. His research is supported by major grants such as EU H2020 ENCASE and PRIN 2011/2012. He collaborates extensively with Prof. Patrizio Campisi and other researchers in the BioMedia4n6 lab. He is a core member of the BioMedia4n6 research group, which specializes in biometrics, data hiding, and blind deconvolution, applying advanced signal processing techniques to multimedia forensics and security challenges.

Chiara Ghidiniمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Representation
• Business Process Management
• +۳ مورد دیگر

Chiara Ghidini is a Full Professor in Computer Science at the Faculty of Engineering of the Free University of Bozen-Bolzano (UNIBZ) in Italy. Her research focuses on symbolic and subsymbolic AI techniques related to Semantic Web, Knowledge Engineering and Representation, and Process Mining. Prior to joining UNIBZ, she worked at Fondazione Bruno Kessler (FBK) in Trento, Italy for over 20 years, where she headed the Process & Data Intelligence (PDI) research unit. Professor Ghidini's research interests span across several areas of Artificial Intelligence with a particular focus on: Artificial Intelligence and its applications in business processes Knowledge Representation and Semantic Web technologies Business Process Management and Mining Explainable AI for process monitoring and decision support Integration of machine learning and simulation for business processes Her recent scholarly output reveals a strong emphasis on developing explainable predictive process monitoring systems, with particular attention to counterfactual reasoning and temporal constraints. The Nirdizati toolkit series represents a significant contribution to the field, evolving from foundational work to the more recent Nirdizati Light framework. Her research bridges theoretical aspects of process mining with practical healthcare applications, as evidenced by projects like the Arianna solution for breast cancer care paths. Professor Ghidini has demonstrated significant academic leadership, serving as program co-chair for major conferences including EKAW 2018, ISWC 2019, and BPM 2020. She currently holds the position of vice-president of AIxIA, the Italian Association for Artificial Intelligence, contributing to national AI strategy development. At UNIBZ, Professor Ghidini teaches programming courses across multiple degree programs: Basics of Programming for the Vocational Bachelor in Wood Technology Introduction to Programming for the Bachelor in Computer Science Introduction to Programming for the Bachelor in Business Information Systems Laboratory for Fundamentals of Programming for the Vocational Bachelor in Wood Technology Her research has substantial practical applications, particularly in healthcare optimization and resource scheduling, with several collaborations involving industrial partners in the Trentino region of Italy. The integration of process mining with machine learning and simulation techniques represents a hallmark of her methodological approach to solving complex business process challenges.

Davide Maiorcaمشاهده پروفایل

استادیار

• Cybersecurity
• Malware Detection
• Adversarial Machine Learning
• +۳ مورد دیگر

Davide Maiorca is a Senior Assistant Professor (RTD-B) of Computer Engineering at the University of Cagliari, Italy. He leads research in cybersecurity, specializing in malware detection, adversarial machine learning, and digital forensics. His work focuses on analyzing X86 and Android malware, malicious documents (e.g., PDF, Office files), and the robustness of AI-driven security tools. He holds a Master of Science in Electronic Engineering (2012, 110/110 cum laude) and a Ph.D. in Electronic Engineering and Computer Science (2016), both from the University of Cagliari. Since 2012, he has been a core member of the PRALab (Pattern Recognition and Applications Laboratory), contributing to open-source tools like Oblivion for macro-based malware analysis and PowerDrive for PowerShell malware deobfuscation. His research emphasizes cybersecurity challenges in mobile and embedded systems, including Android stegomalware, HTTP/3 vulnerabilities, and IoT security. He has over 25 publications in top-tier conferences and journals, addressing topics like adversarial ML evasion, malware dataset quality, and cross-site scripting detection tools. Awards: National Scientific Qualification (ASN) as Associate Professor (ING-INF/05) in 2021. Professional Affiliations: IEEE, ACM, INSTICC, AIxIA, and CVPL. Dr. Maiorca’s work bridges theoretical research and practical applications, with a focus on improving malware detection robustness and addressing emerging threats in AI-driven cybersecurity systems.