Find Academic Supervisors

• Machine Learning
• Electronic Design Automation
• Reliability Engineering
• +7 more

Nicolò Bellarmino is a Researcher at the Department of Control and Computer Science (DAUIN), Politecnico di Torino, where he also serves as an External Lecturer and Teaching Assistant. His work is centered on machine learning applications in electronic design automation, particularly in microcontroller performance screening and reliability assessment of deep learning hardware. His research interests include machine learning for embedded systems, feature selection, neural network testing, and reliability engineering. He employs techniques such as evolutionary algorithms, transfer learning, and fault injection to develop efficient and robust methodologies for semiconductor testing and DNN accelerator validation. The recent publications highlight a strong focus on data-efficient and automated approaches for performance prediction and reliability assessment, leveraging foundation models, unsupervised learning, and hierarchical modeling. These works span journals and top-tier conferences in computer-aided design, electronics, and machine learning. He has no listed scientific awards in the provided text. Bellarmino actively contributes to teaching in the Computer Engineering and Aerospace Engineering programs, collaborating on courses such as Systems Programming, System and Device Programming, and Future of Work. He is a member of the CAD - Electronic CAD & Reliability Group (DAUIN), contributing to cutting-edge research in EDA and hardware reliability. No grants or advising roles are mentioned.

• Electronics
• Nanocomputing
• Quantum Technologies
• +12 more

Fabrizio Riente is a Fixed-term Researcher at the Department of Electronics and Telecommunications (DET) , Politecnico di Torino. He holds academic responsibilities in multiple programs and contributes to editorial and conference committees. Member of College of Electronic, Telecommunications and Physics Engineering Invited Member of College of Computer, Film, and Mechatronics Engineering His research spans Nanocomputing , Quantum Technologies , and Machine Learning for environmental and healthcare applications, with a focus on: Qubit Control & Readout Systems IoT for Bee Health Monitoring 3D Audio-Visual Reproduction for Hearing Research Hybrid Simulation and Emerging Nanotechnologies Low-Power Electronic Systems His recent publications demonstrate interdisciplinary work bridging Quantum Electronics and Acoustic Ecology , particularly in developing VLSI architectures for novel applications. Notable scientific awards include Associate Editorship at Frontiers in Electronics and program committee roles at international conferences. He supervises PhD students in Quantum Engineering and Electronic Engineering , directing research projects funded by commercial contracts on quantum architectures and automotive technologies. His teaching portfolio includes courses on Microelectronic Systems and Low-Power Electronics .

• Artificial intelligence
• Energy efficiency
• Smart cities
• +7 more

Massimo Ruo Roch serves as an Associate Professor in the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, Italy. His academic appointment falls under the scientific disciplinary sector IINF-01/A - Electronics within Area 0009 - Industrial and Information Engineering. His research spans multiple cutting-edge domains including Artificial Intelligence, Internet of Things, Energy Efficiency, Smart Cities, Logic in Memory, and Nanomagnetics . His work aligns with several European Research Council sectors including Micro- and nano-systems engineering, Artificial intelligence, Computer architecture, and Distributed systems. Ruo Roch leads the VLSILAB research group and has developed significant expertise in smart embedded systems for lighting and IoT applications, as well as agritech with autonomous robot systems for grape harvesting. His publication record demonstrates consistent contributions to low-power computing, magnetic logic circuits, and error correction techniques dating back to the late 1990s. Among his notable recognitions are the National Innovation Award (2013) and the prestigious Prize of Prizes (2014) conferred by the President of the Italian Republic through the National Foundation for Technological Innovation COTEC. He actively supervises doctoral candidates including Fabrizio Mo (working on Molecular Sensors at the Nanoscale) and Andrea Mongardi (researching Bio-inspired sEMG-based embedded systems). His research portfolio includes multiple commercial contracts and patents related to test systems, data-driven architectures, and intelligent lighting devices.

Fabrizio Cesare Filippo Di PasqualeView profile

Professor

• optical fiber sensors
• silicon photonics
• optical amplifiers
• +3 more

Fabrizio Cesare Filippo Di Pasquale is a Full Professor of Telecommunications and Director of the Institute of Mechanical Intelligence at Sant'Anna School of Advanced Studies in Pisa, Italy. With a career spanning academia and industry, he holds electronic engineering and information technology doctorates from Italian universities and has held research positions at University College London, Pirelli, and Cisco before joining Sant'Anna. His educational background includes: Electronic Engineering degree, University of Bologna (1989) Ph.D. in Information Technology, University of Parma (1993) Professor Di Pasquale's research focuses on optical fiber sensors, silicon photonics, and optical communication systems, with significant applications in structural health monitoring for aerospace, transportation, and composite materials. His work bridges fundamental photonics with industrial deployment through numerous patents and commercial applications. Recent projects include the SmartRail initiative for railway infrastructure monitoring and embedded sensor systems for spacecraft propellant tanks. Analysis of his 2023-2024 publications reveals a concentrated research trajectory toward miniaturized photonic sensors, radiation-hardened silicon devices, and embedded optical sensing in composite structures. Key trends include silicon photonics for aerospace applications, micro-interferometer-based interrogation systems, and distributed sensing for infrastructure monitoring, demonstrating consistent innovation in translating laboratory research to field-deployable solutions. With 25 patents filed and over 250 scientific publications, Professor Di Pasquale has established significant intellectual property in optical sensing technologies. His co-founding of Infibra Technologies S.r.l. demonstrates successful technology transfer, while his leadership of the Institute of Mechanical Intelligence drives cross-disciplinary research in intelligent mechanical systems and advanced sensing solutions for critical infrastructure. He directs the Institute of Mechanical Intelligence where his team develops next-generation optical sensing platforms, including the SmartRail project for continuous railway monitoring and embedded sensor systems for composite structures in aerospace applications. Current research emphasizes real-time structural health monitoring through embedded fiber optic networks and silicon photonic integrated circuits for harsh environments.

• Wireless Networks
• Cybersecurity
• IoT and Sensor Networks
• +5 more

Pierpaolo Loreti is an Adjunct Professor at the Department of Electronic Engineering and a Researcher at the University of Rome Tor Vergata. He holds a Ph.D. in Telecommunications and Microelectronics (2002) and a Degree in Electronic Engineering (1998), both from University of Rome Tor Vergata. His research focuses on wireless/mobile networks, framework design, analytic modeling, and performance evaluation through simulation and test-bedding. He has led projects on IoT, cybersecurity (e.g., medical device security, satellite networks), blockchain in healthcare, and wildlife tracking systems for endangered species like the Galápagos pink iguana. He collaborates with CNIT and coordinates initiatives in distributed computing, edge AI, and federated testbeds. Education: Ph.D. in Telecommunications and Microelectronics, University of Rome Tor Vergata, 2002 Electronic Engineering Degree (cum laude), University of Rome Tor Vergata, 1998 Research Interests: Wireless networks, IoT sensor systems, cybersecurity for healthcare and satellite infrastructure, blockchain applications in energy grids, and in-network machine learning. His work addresses challenges in privacy preservation, resource-sharing protocols, and energy-efficient designs for critical environments like wildlife monitoring and smart grids. Notable Projects: Developed miniaturized tracking systems for Galápagos pink iguanas Designed cybersecurity frameworks for medical devices and satellite networks Advanced eBPF program composition tools (HIKe/eCLAT) Co-led OpenSatRange and Cyber Range initiatives for space system training Awards: None explicitly mentioned in texts. Advising/Grants: Coordinated European/national projects since 1998 Supervised multiple research initiatives in IoT, blockchain, and network security Labs/Teams: Active member of Netgroup and collaborates with CNIT on interdisciplinary projects.

• Microwave Engineering
• Semiconductor Device Modeling
• Nonlinear Circuit Analysis
• +3 more

Giorgio Vannini is a Full Professor of Electronics at the Department of Engineering, University of Ferrara, where he has been since 2005. His academic career spans over three decades, with prior roles as a Research Fellow and Associate Professor at the University of Bologna. He has held leadership positions including Head of the Engineering Department (2007-2015) and membership in the Academic Senate (2012-2015). Education: Laurea in Electronic Engineering from the University of Bologna (1987), Ph.D. in Electronic and Computer Science Engineering from the University of Bologna (1992). Research: Focused on nonlinear semiconductor device modeling (e.g., GaN HEMTs, III-V FETs), advanced microwave circuit design, and electromagnetic simulation techniques. Key contributions include the Nonlinear Integral Model (NIM) and dynamic I/V characterization systems. Awards: Best Paper Awards at the European Microwave Conference (1995), GAAS98 (1998), and GAAS2001 (2001). Projects: Led over 20 research contracts with industry leaders like Leonardo, Sumitomo, and Huawei, and participated in EU Framework Program initiatives including TARGET and Eurostars. Spin-off: Co-founded MEC srl, an academic spin-off for microwave engineering solutions.

• Analog Integrated Circuit Design
• Mixed-Signal IC Design
• Analog-to-Digital Converters (ADCs)
• +11 more

Andrea Boni is an Associate Professor in the Department of Information Engineering at the Faculty of Engineering, University of Parma, where he has been a faculty member since 1999. He leads the Analog IC Design research group and teaches core electronics courses including Analog Design, Amplifier Design, and Electronics 2 at both undergraduate and graduate levels. His research focuses on analog and mixed-signal integrated circuits, with emphasis on high-speed and ultra-low-power designs in CMOS and BiCMOS technologies. Key areas include Analog-to-Digital Converters (ADCs), low-voltage reference circuits, RF oscillators, frequency synthesizers, and their applications in wireless sensors, UWB radars, and RFID systems. The recent publications highlight a strong trend toward low-power, wireless, and intelligent sensing systems, particularly in structural health monitoring, precision agriculture, and food authenticity. These works reflect a convergence of analog circuit innovation with embedded intelligence and IoT applications. Dr. Boni serves on the technical committee of the Custom Integrated Circuits Conference and is a reviewer for IEEE Journal of Solid-State Circuits and IEEE Transactions on Circuits and Systems – II. He advises no listed students in the provided text and has not been awarded any scientific prizes mentioned. His group receives both public and private funding. He leads the Analog IC Design group, which has been active for over a decade in cutting-edge analog circuit research.

• Chaos theory
• Compressed sensing
• Electromagnetic interference
• +14 more

Fabio Pareschi is an Associate Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino, where he conducts research in circuit architectures, embedded systems, and signal processing with applications in security, AI, and power electronics. He is affiliated with the VLSILAB research group and leads multiple high-impact research projects. Research Interests: Chaos theory and true random number generation for cryptographic applications Compressed sensing for secure and efficient signal acquisition EMI reduction techniques in DC-DC power converters Tiny machine learning and low-power embedded systems Circuit design for IoT and biomedical applications The recent articles highlight a strong trend in integrating compressed sensing with encryption, leveraging chaos-based randomness for security, and optimizing power electronics for EMI reduction. His work bridges theoretical foundations with practical hardware implementations in microelectronics and embedded systems. Scientific Awards: Best Student Paper Award (IEEE, 2005) Best Paper Award (IEEE, 2005) IEEE PRIME Gold Leaf Certificate (2019) BioCAS Transactions Best Paper Award (2019) Best Student Paper Award at EMCCompo (IEEE, 2019) Advising and Grants: He supervises multiple PhD students in the Electrical, Electronics, and Communications Engineering program. He is the Scientific Director of the CESOIA project (Non-EU International Research, 2025–2028) on low-complexity AI models, and leads the ECS4DRES project (EU-funded, 2024–2027) on resilient energy systems. He also heads a commercial research project on high-performance DC-DC converters (2022–2025). His editorial roles include Associate Editor for IEEE Transactions on Circuits and Systems and guest editorships in multiple IEEE journals. Labs and Teams: He is a key member of the VLSILAB Group (DET), which focuses on VLSI systems, embedded signal processing, and secure hardware design.

Simone OrcioniView profile

Associate Professor

• Sensor Systems
• Biomedical Engineering
• Signal Processing
• +5 more

Prof. Simone Orcioni is an Associate Professor at the Department of Information Engineering, Università Politecnica delle Marche. His research focuses on sensor systems, biomedical engineering, nonlinear signal processing, and embedded systems. He leads projects in structural health monitoring, battery management, and telemedicine solutions. Orcioni's work integrates hardware design, algorithm development, and data analytics to address challenges in infrastructure maintenance, healthcare, and sustainable energy. Education: Not explicitly listed, but his role as an associate professor implies advanced academic credentials in electrical or biomedical engineering. Research interests include wearable sensors for healthcare monitoring, IoT-enabled environmental systems, and stochastic modeling of nonlinear processes. He collaborates on interdisciplinary projects involving robotics, circular economy, and smart infrastructure. His publications span journals and conferences in signal processing, biomedical engineering, and electronics. Notable areas include electrochemical impedance spectroscopy, sleep monitoring systems, and low-cost sensor networks. Orcioni's work emphasizes practical applications, such as non-invasive vital sign detection and sustainable battery recycling processes. Awards: None explicitly mentioned. Grants and collaborations are implied through his research projects but not detailed in the text. He contributes to academic governance via his teaching and administrative roles at the university. Labs/Teams: Affiliated with the Department of Information Engineering's research groups focused on embedded systems, biomedical instrumentation, and nonlinear signal analysis. Collaborates with industry partners on projects like smart EV charging systems and telemedicine platforms.

• Computer Engineering
• VLSI Design
• Fault-Tolerant Systems
• +4 more

Francesco Angione is a Research Fellow at the Department of Automatic Control and Computer Science (DAUIN) of Politecnico di Torino. He serves as an external teacher and collaborator for courses such as 'Computer architectures' and 'Architectures of processing systems' within the Computer Engineering program. His research focuses on system-level testing, automotive SoCs, FPGA-based testing solutions, and hardware-AI integration. He is affiliated with the CAD - Electronic CAD & Reliability Group at DAUIN. His work emphasizes optimizing test methodologies for automotive systems, leveraging advanced testing equipment (ATE), and developing efficient algorithms for burn-in stress and functional safety. Recent contributions include trustworthiness in hardware-AI integration, burn-in stress quantification, and FPGA-based accelerators for machine learning. Angione's publications span conferences like IEEE VLSI Test Symposium and International Symposium on Defect and Fault Tolerance, with a focus on VLSI, embedded systems, and reliability engineering. His doctoral thesis (2025) explores system-level test techniques for automotive SoCs under Professors Bernardi and Cantoro. He collaborates extensively with industry partners to bridge academic research with practical applications in automotive electronics and semiconductor testing. Key research themes include functional safety compliance, test cost reduction via novel algorithms, and integrating fault injection methods into real-time operating systems. His lab work involves designing flexible FPGA-based test equipment to address manufacturing challenges in digital systems.

• Autonomous Driving Systems
• Software Reliability Engineering
• Hardware Fault Tolerance
• +3 more

Jacopo Sini is a Research Fellow at the Department of Automatic Control and Computer Science (DAUIN) of the Polytechnic University of Turin. His research focuses on safety-critical automotive systems, software reliability engineering, and emotion recognition. He collaborates on Master's courses related to model-based software design and autonomous vehicles. He is affiliated with the CAD - Electronic CAD & Reliability Group, contributing to projects involving ISO26262 compliance, hardware fault tolerance, and simulation methodologies. His work includes developing real-time driver monitoring systems and enhancing social acceptance of autonomous vehicles through emotion analysis. Key research outputs include studies on control flow checking for automotive embedded systems, emotion recognition algorithms, and test benches for hardware failure diagnostics. Recent publications explore Rust programming language safety features and AR-based educational platforms.

Luca ArditoView profile

Associate Professor

• Software Engineering
• Mobile Computing
• Gamification in Education
• +3 more

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).

• Computer Engineering
• Embedded Systems
• System-on-Chip (SoC) Design
• +3 more

Giorgio Insinga is a Research Fellow at the Department of Control and Computer Science (DAUIN) of Politecnico di Torino. He serves as an External lecturer and teaching assistant, contributing to courses like Computer System Architectures and Computer Engineering since 2022/23. Research Interests: His work focuses on embedded memory testing, diagnosis, and reliability in automotive System-on-Chips (SoCs). Key areas include fault detection methodologies, diagnostic data compression strategies, and hybrid ADC designs for on-chip measurements. He collaborates with the CAD - Electronic CAD & Reliability Group (DAUIN). Scientific Contributions: Recent publications address test architectures for large-scale memory banks, low-area ADC implementations, and irradiation-based memory parameter extraction. His research bridges hardware reliability with practical automotive applications. National patent for 'Electronic board quality analysis software' Teaching Roles: Collaborated in courses related to computer architectures and system design since 2022, emphasizing practical implementation and testing techniques.

Ilaria De MunariView profile

Professor

• Electronics
• Digital Systems
• Microcontroller-based Systems
• +8 more

Ilaria De Munari is a Full Professor at the Department of Engineering and Architecture of the University of Parma, specializing in Electronics. She has been with the University of Parma since 1997, progressing from Researcher to Associate Professor in December 2004, and finally to Full Professor on February 1, 2024. Her research interests span multiple areas of electronics engineering with particular focus on digital systems, sensor design, and applications for healthcare and agriculture. She has developed expertise in microcontroller-based systems, FPGA development, and electrochemical applications. Her work has significant applications in Ambient Assisted Living technologies, food fraud detection systems, and precision agriculture. De Munari has coordinated multiple research projects including the PNRR METROFOOD-IT project since 2022, focusing on e-tongue and e-nose devices for detecting food fraud. Her recent publications demonstrate strong activity in sensor development for agricultural and healthcare applications. Senior Member of IEEE Associate Editor of the IEEE ACCESS journal Throughout her career, De Munari has secured funding for numerous research projects including European AAL projects (FOOD, HELICOPTER, ENSAFE, NOAH), regional projects (PRRIITT), and national research initiatives. She has been instrumental in quality assurance initiatives at the University of Parma, serving in various leadership roles including Deputy Director of the Department of Information Engineering (2014-2016) and member of the University Quality Committee since 2017. De Munari co-founded multiple spin-off companies including I-Cubo srl (2008), SiliS srl (2002), and Reloc srl (2008), demonstrating her commitment to translating academic research into commercial applications. Her current research unit focuses on developing electronic systems for agrifood applications, particularly in food safety and quality assessment.

• Artificial neural networks
• Avionics
• Co-design
• +7 more

Leonardo Reyneri is a Full Professor at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin. His research spans multiple domains, including Artificial neural networks , Avionics , Co-design , and Low-cost space systems . He is a key figure in the Zero Robotics competition and leads projects in CubeSat applications and nanosatellites . Research Interests: Development of student satellite missions High-level codesign methods Low-cost space systems Test systems for space electronics Functional testing and co-simulation Recent publications focus on modular composite structures for CubeSats and parallel processing architectures. His work aligns with Aerospace Engineering and Signal Processing , emphasizing affordable energy (SDG 7) and innovation (SDG 9). Scientific Awards: Executive Committee member - Italian Zero Robotics Steering Committee, Italy (2011-) Executive Committee member - European Zero Robotics Coordination, United States (2011-) Teaching & Leadership: He has taught Codesign methods and tools since 2019/20 and served on doctoral colleges for Electronics and Communications Engineering (2003-2013). His projects include MAESS (2007-2011) and Zero Robotics collaborations (2018-2020).