Find Academic Supervisors

• Computer architectures
• Computer aided design
• Embedded electronics testing
• +3 more

Tommaso Foscale is a Lecturer at the Department of Control and Computer Science (DAUIN), Politecnico di Torino. He is also a third-year PhD student in Computer and Control Engineering, affiliated with the Electronic CAD & Reliability group. PhD in Computer and Control Engineering (2022–2025) MSc in Computer Engineering, cum laude (2021) His research focuses on testing techniques for automotive systems on chip , with specific expertise in: Wafer-level and manufacturing testing FPGA-based test equipment design Single-event upset (SEU) injection Cost-effective characterization of SoCs Recent publications highlight trends in multi-site testing optimization and reliability engineering for automotive electronics. He has contributed to IEEE symposia on test strategies and functional safety. As a teaching assistant, he collaborates on Operating Systems courses for Computer Engineering and Computer Science Engineering programs (2023–2025). His research group actively explores fault tolerance and embedded systems testing.

• Embedded Systems Testing
• Computer Architecture
• Computer-Aided Design (CAD)
• +6 more

Gabriele Filipponi is a third-year Ph.D. student in Computer and Control Engineering at Politecnico di Torino (38th cycle, 2022–2025). He serves as a Part-Time Lecturer and Teaching Assistant at the Department of Control and Computer Science (DAUIN) for Operating Systems courses. His research focuses on embedded electronics testing and ultra-reliable in-field manufacturing techniques for automotive SoCs, leveraging Logic Built-In Self-Test (LBIST) and functional procedures. Research Areas: Embedded Systems Testing Automotive Electronics Computer Architecture Semiconductor Reliability Fault Diagnosis Publication Trends: His work spans 2022–2025 and addresses logic/memory BIST methodologies, in-field diagnostics for automotive SoCs, fault characterization, and firmware-controlled testing frameworks. Teaching Roles: Course Collaborator for Operating Systems (Computer Engineering, 2023–2025) Course Collaborator for Operating Systems (Computer Science Engineering, 2023–2025)

• Decision Making
• Economic Evaluation
• Environmental Impact Assessment
• +6 more

Marta Carla Bottero is a Full Professor at the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST) at the Polytechnic University of Turin. She serves in functions aggregated to the Pro-Rector regarding relations with government structures and is a member of the Interdepartmental Center Ec-L - Energy Center Lab. Her academic focus spans decision making, economic evaluation, environmental impact assessment, and urban management. Her research interests center on multicriteria analysis, strategic environmental assessment, and sustainability assessment. She applies these methodologies to urban planning challenges, with particular emphasis on heritage conservation, energy communities, and sustainable city development. Her work bridges theoretical frameworks with practical applications in urban regeneration and policy development. Dr. Bottero's recent publications demonstrate a strong focus on sustainable urban development, with particular attention to cultural heritage reuse, energy communities, and urban resilience. Her research integrates quantitative methods like multicriteria analysis with spatial and environmental considerations, creating innovative approaches to complex urban challenges. Her scientific achievements have been recognized with numerous awards: Outstanding paper awarded by Emerald (2021) 4th Jean Pierre Brans PROMETHEE Award presented by PROMETHEE Days, Belgium (2017) Outstanding Contribution in Reviewing awarded by European Journal of Operational Research (2017) ICCSA Best Paper Award 2014 given by ICCSA 2014, Portugal (2014) Management of Environmental Quality: Highly Commended Paper (2013) Leading JMCDA article award (2011) Best paper award at Sue-Mot conference (2009) Dr. Bottero actively supervises PhD students in the Urban and Regional Development program, with current advisees including Sebastiano Barbieri, Emanuele Dell'Oca, and Marco Volpatti. She has secured significant research funding through competitive grants including REGENERATE (2024-2027), TReE (2023-2025), and QUEST (2019-2022), as well as numerous commercial research contracts with municipal and industrial partners. She participates in multiple research teams including the Interdepartmental Center Ec-L - Energy Center Lab and collaborates extensively with international institutions, having served as Visiting Researcher at Queensland University of Technology (2019) and National University of Singapore (2017).

• Computer Architecture
• Computer-Aided Design
• Functional Safety
• +5 more

Michelangelo Bartolomucci is a PhD student in Computer and Systems Engineering (39th cycle, 2023-2026) at the Department of Control and Computer Science (DAUIN), Polytechnic University of Turin. He also serves as an External Lecturer and teaching assistant at DAUIN. Research Focus: Methodologies for Next-Generation Functional Safety and Analysis and Verification of Soft Errors. Teaching: Lecturer for Testing and Fault Tolerance in the Master's program in Computer Engineering (2024/25), and course collaborator for Computer Science in the Aerospace Engineering program. His research addresses challenges in functional safety for modern, complex circuits, including small delay defects, selective hardware hardening, and specialized methodologies for neural processing units. A recent publication at the International Symposium on On-Line Testing and Robust System Design (IOLTS) explores fault grading techniques for software-based self-test.

• Computer architectures
• Computer aided design
• Automotive Systems Engineering
• +6 more

Nima Kolahimahmoudi is a Ph.D. student in Computer and Systems Engineering at the Polytechnic of Turin, currently in his 38th cycle (2022-2025). He is affiliated with the Department of Control and Computer Engineering (DAUIN) and serves as an external lecturer and teaching assistant. His research is supervised by Professor Paolo Bernardi and Richard Cantoro. Education: Master’s in Electronic Engineering (2022) from Polytechnic of Turin Research Group: CAD - Electronic CAD & Reliability Group (DAUIN) His research focuses on functional safety techniques for automotive-oriented Systems-on-Chip (SoCs), particularly targeting analog and mixed-signal circuits, embedded memories, and reliability testing. He has contributed to advancements in low-area ADC design, irradiation-based memory parameter extraction, and automated self-test methodologies for fault coverage improvement. Recent publications highlight trends in automotive electronics reliability, including analog/mixed-signal circuit design, SoC measurement systems, irradiation testing, and fault coverage optimization. These works span conferences like IEEE DTTIS, VLSI-SoC, and IEEE European Test Symposium. Nima collaborates in teaching the 2024/25 1st-level degree course in Computer Sciences at Polytechnic of Turin, specifically for Automotive Engineering. His academic work emphasizes test automation, memory reliability, and functional safety frameworks for automotive systems.

• Computer architectures and Computer aided design
• Data science
• Computer vision and AI
• +3 more

Walter Gallego Gomez is a PhD Student in Computer and Systems Engineering (39th cycle, 2023-2026) and an External Lecturer/Teaching Assistant at the Department of Control and Computer Science (DAUIN) of the Polytechnic University of Turin. His academic and research journey is supported by an EBRAINS-Italy research grant. Bachelor's in Electronic Engineering (University of Antioquia, 2015) Master's in Computer Engineering (Polytechnic University of Turin, 2018) His research intersects life sciences and computer science, focusing on bioinformatics algorithms, neuromorphic hardware (Loihi2/Lava), and their implementation. He collaborates with the Electronic Design Automation (EDA) group and external entities like Candiolo Oncology Center and Telluride Neuromorphic Cognition Engineering workshop. Teaching roles include System-on-chip architecture (2024/25) and Applied AI and machine learning (2023/24-2024/25) as a course collaborator. Recent publications highlight trends in somatic structural variant detection and neuromorphic ecosystem benchmarking. His work spans automotive embedded systems (Marelli, 2018-2021), academic research assistantship (2021-2023), and interdisciplinary collaborations.

• Computer architectures
• Computer-aided design
• Data science
• +7 more

Robert Alexander Limas Sierra is a Lecturer at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, Italy. He is also a PhD student in Computer and Systems Engineering, 38th cycle (2022-2025), affiliated with the CAD research group and an IEEE student member. B.S./M.Sc. in Electronic Engineering (2019/2022) - Universidad Pedagógica y Tecnológica de Colombia His research focuses on computer architectures, AI/ML, GPU computing, and hardware reliability . Key themes include neural network robustness, tensor core optimization, and fault tolerance in AI accelerators. Recent publications address self-testing libraries for GPUs, CNN error mitigation, and reliability implications of edge computing. Teaching activities include collaboration in Computer Sciences and Automotive Engineering courses (2023/24 and 2024/25 academic years).

• Algorithms
• Optimization
• Mathematical Programming
• +2 more

Federico Della Croce Di Dojola is a Full Professor at the Department of Management and Production Engineering (DIGEP) of Politecnico di Torino. He is also a member of the Interdepartmental Center Ec-L - Energy Center Lab. His academic career spans over two decades with international collaborations including a Visiting Researcher position at Université Paris Dauphine (2004-2005). Research Interests focus on algorithm development and optimization techniques, particularly in combinatorial optimization. His work applies to diverse areas including operations research, production scheduling, and mathematical programming, with connections to sustainable cities and communities (SDG Goal 11). Publications demonstrate expertise in exact algorithms, heuristic methods, and scheduling problems across multiple domains. Key contributions include advancements in transportation optimization, bilevel scheduling, and fuel treatment planning. Scientific Recognition : Member of Editorial Board, European Journal of Operational Research (2016-) Member of Editorial Board, Computers & Operations Research (2016-) Principal investigator in multiple research projects Academic Leadership includes: Director of Department of Control and Computer Science (2012-2015) Doctoral College Member (2003-2025) Course Lecturer at multiple degree levels PhD Supervision includes Quentin Schau (2024-in progress) focusing on Industry 4.0 scheduling problems.

Federica MarcolinView profile

Associate Professor

• 3D face analysis
• Emotional design
• Facial expression recognition
• +7 more

Federica Marcolin is an Associate Professor in the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin. She serves as a member of both the College of Architecture and Design and the College of Biomedical Engineering, teaching courses across multiple engineering disciplines with a focus on 3D technologies and applications. Her educational background includes a Master's degree in Mathematics in Engineering (2010) and a PhD in Production Systems & Industrial Design (January 2015), with dissertation work on differential geometry applied to 3D face analysis. She conducted research at the i·Bug group of Imperial College London in 2014 on similar topics. Dr. Marcolin's research spans the intersection of computer vision, human-computer interaction, and medical applications, with particular emphasis on 3D face analysis, emotional design, and facial expression recognition. Her work bridges industrial design methodologies with advanced computing techniques to solve problems in healthcare, security, and human-machine interfaces. Her recent publications demonstrate a strong trend toward applying machine learning and 3D technologies to medical applications, particularly in facial surgery prediction, stress assessment using VR environments, and emotion recognition systems. These works span disciplines including biomedical engineering, computer vision, and human factors engineering. Methodology for predicting facial soft tissue displacement following maxillofacial surgery Methodology for real-time facial expression recognition Classification system for ovarian tumor characteristics based on 2D ultrasound image processing Automatic disease diagnosis system based on 3D model extraction from 2D medical images Dr. Marcolin supervises PhD students in the Management, Production and Design program and leads several research projects including DAS - Design for Augmented Surgery (2024-2026) and an agreement with the University of Turin's Department of Psychology (2024-2029). She has previously directed projects such as Practical application of 3D technology in medicine (2021) and FARMER 4.0 training laboratories (2018-2020). Her laboratory work focuses on the 3D LAB research group which specializes in human-computer interaction applications, visualization, and management of 3D data, with applications spanning medical diagnostics, surgery planning, security systems, and emotional design.

Aime LAY EKUAKILLEView profile

Associate Professor

• Biomedical Engineering
• Environmental Monitoring
• Industrial Measurements
• +3 more

Aime LAY EKUAKILLE is an Associate Professor at the University of Salento's Department of Innovation Engineering, part of the Ecotekne Center in Lecce, Italy. His expertise spans instrumentation and measurement systems for biomedical, environmental, industrial, nanotechnology, machine learning, and photovoltaic panel aging applications. He is involved in interdisciplinary projects, such as smart sensors for telemedicine, energy-efficient robotic systems, and geothermal probe design. His research integrates advanced signal processing (e.g., wavelet transforms, machine learning algorithms) with sensor technology to address challenges in healthcare, environmental monitoring, and renewable energy. He has contributed to hardware-software solutions like solar-powered spectrophotometers and anti-theft systems for photovoltaic plants. Collaborations include international initiatives in nanotechnology, wearable devices, and IoT-based tele-rehabilitation. Key projects include: Development of a robotic arm for ball bearing sorting using size measurements and RFID. Designing a distributed edge computing architecture for leak detection in waterworks. Optimizing fertilizer dosing in smart fertigation pipelines through modeling and control. Investigating the magnetic behavior of nanosized contrast agents for medical imaging. He has presented at conferences such as IEEE MeMeA (2020), I2MTC (2020), and EnvImeko (2019, 2017). His work is supported by grants like the Ministry of Health's GR-2016-02361306 and Guangdong Province's 2019B010150002.

• Ambient intelligence
• Human-computer interaction
• Internet of Things
• +13 more

Fulvio Corno is a Full Professor at the Department of Control and Computer Science (DAUIN), Polytechnic University of Turin, where he also serves as Vice-Rector for Education and holds multiple leadership roles including Coordinator of the Student Contribution and Planning Commission (STUDI) and member of the Academic Senate and Board of Directors (non-voting). He is actively involved in the Interdepartmental Center PIC4SeR for Service Robotics and the Executive Committee of the Master's and Continuing Education School. His research interests span Ambient Intelligence, Human-Computer Interaction, Internet of Things, Semantic Web, Smart Environments, and Web Technologies. These are reflected in his extensive work on end-user development in IoT, smart home security, information visualization, and accessible technologies. He leads the ELITE research group (Intelligent and Interactive Systems) and conducts research in LAB 10 at DAUIN. The recent publications highlight a strong focus on improving usability and security in IoT systems, particularly for novice developers and end-users. His work explores computational notebooks for IoT prototyping, security evaluation of hobbyist projects, threat modeling for smart home gateways, and tools to support end-user programming through natural language and visualization. A recurring theme is empowering non-experts to safely and effectively interact with intelligent environments. Editor-in-Chief, Journal of Reliable Intelligent Environments (2015–2021) Director of Magazine, IT Professional (2012–) Fulvio Corno advises PhD students in Computer Science and Systems Engineering and Artificial Intelligence, including Tommaso Calo' and Luca Mannella. He leads or participates in numerous research and educational projects, such as RESCHIP4EU, AccessCoVE, and EMPATHY, funded by EU, regional, and commercial sources. His teaching includes Web Applications I, Human-Computer Interaction, and Programming Techniques across various engineering programs.

• Machine Learning
• Artificial Intelligence
• Medical Image Analysis
• +7 more

Francesco Ponzio is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, where he contributes to teaching and research in information processing systems. He is actively involved in multiple engineering programs, including Computer, Aerospace, and Management Engineering. University: Politecnico di Torino Department: Department of Control and Computer Engineering (DAUIN) Role: Fixed-term Assistant Professor Scientific Sector: IINF-05/A - Information Processing Systems Francesco Ponzio's research spans artificial intelligence and machine learning with applications in medical imaging, industrial automation, and smart manufacturing. His work integrates advanced computational models into real-world systems, particularly in healthcare and advanced manufacturing. His recent publications reveal a strong trend toward interdisciplinary research, combining deep learning, radiomics, and physics-informed neural networks to address challenges in biomedical diagnostics and industrial process optimization. Notably, his work in histopathological image analysis, tumor classification, and real-time anomaly detection highlights his expertise in both algorithmic development and practical deployment. Francesco Ponzio has contributed to high-impact journals and top-tier conferences such as IEEE ETFA, DAC, DATE, and Frontiers in Oncology. His recent work includes journal articles in Journal of Intelligent Manufacturing and Scientific Reports , as well as conference papers in ACM/IEEE Design Automation Conference and IEEE ICIT. He has served as a course collaborator for Machine Learning in Applications and as a lecturer and collaborator in foundational computer science courses across various engineering disciplines. He is also an invited member of two degree program councils, reflecting his institutional engagement. francesco.ponzio@polito.it

• Architectural Survey
• Architectural Representation
• Digital Documentation
• +7 more

Paolo Giandebiaggi is a full Professor in the Faculty of Architecture at the University of Parma, Department of Civil and Environmental Engineering and Architecture. He has been a central figure in architectural education and research, teaching courses such as Architectural Survey, Descriptive Geometry, and Analysis of Built Spaces across both undergraduate and graduate programs. His academic leadership includes serving as Chairman of the Architecture programs from 2004 to 2010 and as a member of the PhD Teachers College in Architecture Forms and Structures. His educational background includes a honors degree in Architecture from the University of Florence (1987). He began as a technical assistant before becoming a contract professor and was promoted to Associate Professor in Design (SSD ICAR 17) in 1999, then full Professor in 2006. Giandebiaggi's research focuses on architectural survey, representation, and digital tools for heritage and urban analysis. He has led major national (PRIN, MURST) and regional research projects on urban documentation, historical building analysis, and digital information systems. His work emphasizes graphical methods for understanding architecture and urban transformation, particularly through computerized tools and integrated survey techniques. His recent publications reflect a consistent engagement with architectural heritage, urban regeneration, and documentation, especially in projects involving the city of Parma, Durres Amphitheater, and Damascus Citadel. These contributions demonstrate a thematic coherence in heritage preservation, adaptive reuse, and urban morphology. Member, Teachers College of PhD in Architecture Forms and Structures, University of Parma Former Chairman, Courses of Study in Architecture, University of Parma (2004–2010) Member, Steering Committee, UID – Italian Design Union Scientific Coordinator, multiple research agreements with Parma Municipality on urban documentation and information systems Giandebiaggi has secured and led numerous research grants, including MURST 40% COFIN-PRIN and FIL projects, as well as municipal contracts focused on urban regeneration, school building management, and post-earthquake reconstruction studies. These grants reflect sustained funding and institutional collaboration. He has coordinated interdisciplinary research teams on urban survey, historical documentation, and digital representation. His work often involves collaboration with municipal authorities and international partners, such as in Albania and Syria, demonstrating leadership in applied architectural research and heritage enhancement projects.

• Multimedia Data Management
• Collaborative Filtering
• Similarity Search
• +5 more

Ilaria Bartolini is a Full Professor at the University of Bologna's Department of Computer Science and Engineering, specializing in multimedia data management and preference learning. She coordinates the MultiMedia Database Group and leads the PhD Programme in Computer Science and Engineering. Her research focuses on similarity search, collaborative filtering, and applications in cultural heritage and health domains. Education: Laurea in Computer Science (1997), University of Bologna PhD in Electronic and Computer Science Engineering (2002), University of Bologna Research Interests: Her work spans multimedia systems, data curation, and AI-driven solutions for healthcare and cultural heritage. She collaborates with institutions like HKUST, NJIT, and the European Processor Initiative, leading projects such as DETECt (EU H2020) and S-PIC4CHU (PRIN 2022). Grants & Projects: EU H2020 DETECt (2018–present): Transcultural crime narrative analysis PRIN 2022 S-PIC4CHU (2024–present): Data science integrity GenData 2020, WISDOM, COOPERARE (Italian national projects) Teaching: Leads courses on web applications, multimedia data management, and digital humanities at the undergraduate and graduate levels. Her educational framework emphasizes active e-learning through tools like ALDO. Labs & Teams: Directs the MultiMedia Database Group, fostering interdisciplinary research in data science and AI applications.

Federico RotiniView profile

Associate Professor

• Product and Process Innovation
• Creative Process Analysis
• Process Reengineering
• +3 more

Federico Rotini is an Associate Professor at the Department of Industrial Engineering of the University of Florence, specializing in ING-IND/15 'Design and Methods of Industrial Engineering'. He holds a PhD in Machine Design and Construction (2012) and has been a faculty member since 2017, following roles as a Researcher (2005–2017) and Research Fellow (2001–2004). Education: - Bachelor’s in Mechanical Engineering (2001), University of Florence - PhD in Machine Design and Construction (2012), University of Florence. Research Interests: Focuses on methodologies for product/process innovation, creative process analysis, process reengineering, and computer-aided design integration. Key areas include sustainable materials, virtual prototyping, and innovation tools. His work spans aerospace systems, automotive engineering, and cultural heritage preservation. Publications & Projects: Over 100+ peer-reviewed articles, co-inventor of patents, and contributor to international projects. Notable work includes AI-driven design ideation, sustainable composites, and amphibious geological platforms. Labs & Roles: Coordinates the 'AFTER' lab (waste valorization) and 'Innovation Methods' lab. Teaches at the School of Engineering and Architecture, covering Mechanical Engineering, Industrial Design, and Design disciplines.