جست‌وجوی استاد و پژوهشگر

• Power Electronics
• Electric Drives
• Motor Control
• +۳ مورد دیگر

Fabio Immovilli is an Associate Professor at the University of Modena and Reggio Emilia , affiliated with the Department of Engineering Sciences and Methods . His research focuses on power electronics, motor drives, and condition monitoring, with expertise in current source inverters, fault detection, and energy conversion systems. He teaches advanced courses on electric drives, power converters, and static energy conversion. Research Interests: Immovilli’s work spans power electronics architectures for industrial drives, fault diagnosis using machine learning, and innovative solutions for high-efficiency motor systems. His recent studies include partial discharge monitoring in industrial machinery, resonance damping in current source inverters, and scalable data acquisition systems for condition monitoring. Teaching: He instructs graduate-level courses such as Advanced Electric Drives and Power Converters Systems , Static Energy Conversion , and Inverters and Electric Machines for Industry . These courses emphasize practical applications of control systems, power electronics, and motor design. Key Contributions: Immovilli has developed novel modular data acquisition systems for partial discharge detection and scalable digital solutions for industrial condition monitoring. His work on current source inverters explores efficiency improvements and low-speed operation extensions. He also collaborates on projects involving electric propulsion systems for naval applications and fault-tolerant multi-phase drives.

Andrea Di Roncoمشاهده پروفایل

پژوهشگر

• Nuclear Engineering
• Generation IV Reactors
• Nuclear Fuel Modeling
• +۷ مورد دیگر

Andrea Di Ronco is affiliated with Politecnico di Milano's NRGroup as a Researcher, focusing on nuclear fuel modeling, Generation IV reactors, and multiphysics simulation. His R&D activities span from 2020 to present, emphasizing fuel performance codes, molten salt fast reactor (MSFR) dynamics, and code validation. He holds a PhD (2018) and MSc (2016) in Nuclear Engineering from Politecnico di Milano, with theses on fuel pin performance and MSFR system design. His research interests include thermal-mechanical behavior of nuclear fuels, gaseous/solid fission products transport, and control-oriented modeling of nuclear reactors. He contributes to projects like SAMOFAR, addressing reactor safety, multiphysics coupling, and validation methodologies for advanced reactor concepts. His work involves collaboration on the IFMIF-DONES project, focusing on validation activities and remote handling systems. Notable contributions include developing OpenFOAM solvers for fission product transport and applying Kalman filters for radioactive source-term estimation during accidents. Di Ronco has co-authored over 20 peer-reviewed articles since 2016, with a focus on MSFR energy systems, heat exchanger design, and stability analysis using dynamic mode decomposition. He currently leads R&D initiatives in reactor dynamics, code validation, and nuclear fuel behavior under transient conditions.

• Industrial Engineering
• Mechanical Design
• Computer-Aided Design (CAD)
• +۷ مورد دیگر

Alberto Vergnano is an Associate Professor at the Department of Engineering 'Enzo Ferrari' at the University of Modena and Reggio Emilia. His academic roles include teaching courses such as Design and Modelling of Electronic Systems , Industrial Technical Design , and Design Methods for Vehicle Engineering . His research focuses on advanced manufacturing processes, occupant safety systems, and simulation-based design optimization. Education: Doctorate in Industrial Engineering (not explicitly stated, inferred from academic rank). Affiliations: Member of LaPIS Lab and contributor to the MASA (Modena Automotive Smart Area) project. Research Interests: Thermal management in additive manufacturing, occupant position detection for vehicle safety, casting process optimization, and reconfigurable manufacturing systems. Recent projects include lattice structure design for shock absorption, sensorized vehicle seats, and heat transfer modeling in sand casting. Publications: Over 30 peer-reviewed articles and conference papers since 2019, emphasizing simulation-driven design and safety engineering. Key themes include occupant safety systems, die casting optimization, and smart manufacturing. Labs/Teams: Active in the LaPIS Lab, focusing on design tools and methods. Collaborates with industry partners on automotive and aerospace projects.

Lorenzo Rossiمشاهده پروفایل

استادیار

• Process Mining
• Robotics
• Business Process Management (BPM)
• +۵ مورد دیگر

Lorenzo Rossi is an Assistant Professor specializing in the intersection of process mining, robotics, and business process management (BPM). His research focuses on advancing methodologies for analyzing robotic systems, IoT environments, and collaborative processes through formal models like BPMN. Key areas include process discovery, digital twins, and system resilience in smart environments. Expertise: Process Mining, Multi-Robot Systems, BPMN Semantics, Cyber-Physical Systems Key Tools: BEAR (BPMN animator), MIDA (multi-instance animator), UBBA (Unity-based BPMN animator) His work emphasizes reproducibility and practical frameworks for rapid prototyping. Recent trends in his articles highlight the integration of process mining with robotics for data-driven decision-making, as well as formal verification of BPMN collaborations to ensure system correctness. Awards: None explicitly mentioned in the provided texts. Advising & Grants: No student/advisor relationships or grant details documented here. Labs/Teams: Collaboration with Unity-based simulation tools (UBBA, MIDA) and serious game platforms (PlayWithUnicam).

Ruaridh Clarkمشاهده پروفایل

عضو هیئت علمی

• Signal Processing
• Biomedical Engineering
• Wearable Sensors
• +۵ مورد دیگر

Ruaridh Clark is a Senior Research Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, United Kingdom. He is actively engaged in research, supervising PhD students, and contributing to multiple funded projects in biomedical signal processing and neurotechnology. His research interests lie at the intersection of biomedical engineering, signal processing, and human-computer interaction, with a strong focus on EEG-based systems, wearable sensors, and real-time health monitoring. His work enables advancements in brain-computer interfaces, emotion recognition, seizure detection, and cognitive state assessment. The analysis of his recent publications reveals a consistent trend in developing robust, real-time, and wearable neurophysiological systems. These works emphasize adaptive signal processing, multimodal data fusion, machine learning, and low-power embedded solutions for clinical and real-world applications. 9 prizes or awards (specific names not listed in text) Ruaridh Clark supervises several PhD students, including Agathe Bouis, Joshua Gribben, and Beth Probert. He is involved in 18 research projects, indicating active grant funding and collaborative research. His work is highly interdisciplinary, bridging engineering, neuroscience, and clinical applications. He is affiliated with the research group led by Professor Malcolm Macdonald and collaborates across disciplines, including with researchers in psychology. His lab focuses on developing wearable, real-time, and intelligent systems for neurophysiological monitoring and human performance assessment.

• Medical Imaging
• Artificial Intelligence in Healthcare
• Radiomics
• +۳ مورد دیگر

Valentina Giannini is an Assistant Professor at the Department of Oncology of the University of Turin , specializing in biomedical engineering and oncologic imaging. Her work focuses on applying artificial intelligence, radiomics, and deep learning to improve cancer diagnosis and treatment prediction. She teaches courses such as Bioengineering, Medical Imaging Systems, and Neurophysiological Techniques within the Scuola di Medicina . Her research emphasizes multi-center studies, AI-driven clinical decision support systems, and MRI/CT-based biomarkers for tumors like prostate and colorectal cancers. Giannini’s research has produced tools such as the METhodological RadiomICs Score (METRICS) for radiomics quality control and AI systems for automatic tumor segmentation. She collaborates across disciplines, integrating engineering principles with clinical oncology to enhance treatment outcomes. Her recent work highlights advancements in transparent AI systems, multi-vendor compatibility, and predictive analytics for therapy resistance. Key areas of expertise include: Radiomics and texture analysis in oncology Deep learning for medical image segmentation Prostate and colorectal cancer diagnostics AI ethics and algorithmic transparency Her contributions span 70+ peer-reviewed articles, emphasizing translational research bridging engineering and clinical practice. Giannini actively participates in EU-funded projects and collaborates internationally to drive innovation in cancer imaging technologies.

Giambattista Gruossoمشاهده پروفایل

دانشیار

• Electrical Systems Modeling
• Electromagnetic Devices Simulation
• Magnetic Materials Characterization
• +۳ مورد دیگر

Prof. Giambattista Gruosso is an Associate Professor of Electrical Engineering at the Polytechnic University of Milan's Department of Electronics and Information. His research focuses on modeling and simulation of electrical/electronic systems, electromagnetic devices, magnetic materials, and optimization techniques. He explores IoT and embedded systems for fault analysis and energy performance prediction, with emphasis on energy systems for transportation and sustainability. His work involves developing numerical simulators for electromagnetic fields and digital twins for industrial systems. He is a Senior Member of IEEE, part of the SPS-DRIVE Italia scientific committee, and a reviewer for multiple journals. His research lab, SimLab, specializes in digital transformation of electrical systems using Hardware-in-the-Loop (HIL) simulations to create Digital Twins. Projects address Industry 4.0 technologies for complex electrical systems, including smart grids and EV integration. Notable contributions include frameworks for EV charging optimization, grid stability via machine learning, and fault detection in CNC machinery. His work bridges theoretical models with practical applications in energy efficiency and industrial automation.

• Agricultural Sciences
• Plant Physiology
• Irrigation Management
• +۶ مورد دیگر

RICCARDO LO BIANCO is a Full Professor of Agricultural, Food and Forestry Sciences at the University of Palermo, affiliated with the Department of Agricultural and Environmental Sciences. His research focuses on precision agriculture, plant water stress responses, fruit tree physiology, and sustainable agronomic practices in Mediterranean environments. He teaches courses such as GENERAL ARBORICULTURE, PRECISION TREE CROPS MANAGEMENT, and TECHNICAL ENGLISH FOR AGRICULTURE, reflecting his expertise in both technical and educational domains. His work emphasizes innovative irrigation strategies, remote sensing applications, and cultivar-specific management practices. Key research themes include optimizing water use efficiency, understanding drought stress mechanisms in olive, mango, and citrus, and developing precision tools for real-time crop monitoring. He has pioneered studies on cultivar-sensitive approaches to water status sensing and high-density planting systems for olives. His publications span over 20 years, with recent emphasis on AI applications for developing nations and cross-cultivar stress responses. He actively contributes to international symposia on precision agriculture and has edited textbooks like "Technical English for Agriculture".

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.

Paola Girdinioمشاهده پروفایل

استاد

• Electrical Engineering
• Cybersecurity
• Renewable Energy Systems
• +۳ مورد دیگر

Paola Girdinio is a Professor at the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN), University of Genoa. She teaches courses on Electromagnetic Compatibility and Electric Fields and Magnetic Fields, affiliated with both the Bachelor's and Master's programs in Electrical Engineering. Her research focuses on cybersecurity in smart grids, industrial networks, and energy communities. Key Research Areas: Smart Grid Security, Industrial Network Segmentation, Secure-by-Design Energy Systems, Electromagnetic Compatibility Recent Publications: Survey on AI-driven anomaly detection, frameworks for secure energy communities, and datasets for battery storage monitoring Contact: Email: paola.girdinio@unige.it Phone: +39 010 33 52710 Office: Via Opera Pia 11, third floor, Genova

Adalgisa Sinicropiمشاهده پروفایل

دانشیار

• Computational Chemistry
• Renewable Energy
• Organic Chemistry
• +۷ مورد دیگر

Adalgisa Sinicropi is an Associate Professor at the University of Siena , affiliated with the Department of Biotechnology, Chemistry and Pharmacy . She leads research in computational chemistry and renewable energy , focusing on organic molecules for photovoltaics and life cycle assessment (LCA) of energy systems. Her research integrates in silico design and sustainable materials development , with applications in dye-sensitized solar cells (DSSCs) , perovskite solar cells , and luminescent solar concentrators (LSCs) . She explores machine learning (ML) and DFT methods to predict dye candidates and optimize energy conversion efficiency. The first 15 articles (2025–2024) highlight trends in green chemistry for photovoltaic materials , LCA-driven sustainability , and computational modeling of energy systems . Topics span antenna-sensitizer dyads , indoor photovoltaics , and eco-design of recycling protocols . Contact: adalgisa.sinicropi@unisi.it | Office: +39 0577 232414 | Lab: R²ES Lab (Research on Renewable Energy and Sustainability) | Spin-off: LifeCAres .

Fabrizio Moroniمشاهده پروفایل

استادیار

• Adhesive Bonding
• Hybrid Joints
• Finite Element Analysis
• +۳ مورد دیگر

Fabrizio Moroni is an Assistant Professor in the Department of Systems Engineering and Industrial Technologies (DISTI) at the University of Parma. His work focuses on adhesive bonding, hybrid joints, and mechanical testing, with a strong emphasis on finite element analysis and surface treatment methodologies for adhesion promotion. He has collaborated with institutions like Politecnico di Milano, University of Bologna, and companies including Henkel, Pirelli Tyres, and Dallara. Education: Master's in Mechanical Engineering (2006, University of Parma, cum laude), PhD in Industrial Engineering (2009, University of Parma) His research explores the mechanical behavior of adhesive and hybrid joints, particularly in food machinery and automotive applications. Recent publications highlight advancements in laser ablation for microscale interlocking features, 3D-printed titanium substrates, and dynamically crosslinked polymers. Over 50 journal papers, 5 book chapters, and 40+ conference presentations document his contributions. Notable projects include the SIR-funded SIMAB initiative (2014) for strength improvement in multimaterial joints and the establishment of the Bonded Joint Manufacturing and Testing Laboratory at the University of Parma. He has supervised over 30 graduate students in experimental and computational studies of bonded joints.

Leonardo Ricottiمشاهده پروفایل

دانشیار

• Regenerative Medicine
• Biomaterials
• Artificial Organs
• +۳ مورد دیگر

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

Paolo Piovanoمشاهده پروفایل

دانشیار

• Materials Science
• Solid Mechanics
• Calculus of Variations
• +۳ مورد دیگر

Paolo Piovano is an Associate Professor at the Polytechnic University of Milan, specializing in materials science and mathematical analysis of crystalline structures. His research focuses on variational models for thin films, epitaxial growth, and nanoscale phenomena. He holds a Ph.D. from Carnegie Mellon University (2012), with a thesis on 'Evolution and Regularity Results for Epitaxially Strained Thin Films and Material Voids.' Key research areas include solid-state wetting/dewetting, strain-driven instabilities, and energy minimization in materials. His work bridges atomistic and continuum models, addressing problems like crystal growth, interface dynamics, and nanotube geometries. He has organized conferences such as the XXIII STAMM (2022) and contributed to events on free boundary problems and nonlinear analysis. His publications span journals like Arch. Ration. Mech. Anal. , SIAM J. Math. Anal. , and Continuum Mech. Thermodyn. , with a focus on rigorous mathematical validation of materials science models. Despite no explicitly listed awards, his impactful contributions reflect sustained academic engagement.

• Power Electronics
• Electric Motor Drives
• Renewable Energy Systems
• +۳ مورد دیگر

Giovanni Migliazza serves as a Research Fellow at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. His academic work focuses on advanced power electronics systems with particular emphasis on inverter topologies and motor drive applications. His primary research interests span Power Electronics , Electric Motor Drives , Renewable Energy Systems , and Control Systems . Notable contributions include innovative approaches to current source inverter (CSI) topologies, particularly the CSI7 architecture, with applications in photovoltaic integration and electric drives. His work addresses critical challenges in ground leakage current mitigation, thermal management, and efficiency optimization in power conversion systems. Analysis of his recent publications reveals strong focus on motor control strategies, including field-oriented control for hybrid stepper motors and sensorless techniques for permanent magnet synchronous machines. His research demonstrates consistent innovation in extending operational ranges of power converters while addressing practical implementation challenges in industrial applications. While no formal scientific awards are documented in available sources, his research output demonstrates significant contribution to power electronics engineering through numerous peer-reviewed publications and patent applications. His collaborative work spans multiple international research groups, with consistent contributions to IEEE transactions and conference proceedings. Migliazza maintains active research in wireless power transfer systems, particularly split-transformer architectures for compact inductive power transfer. His work bridges theoretical developments with experimental validation, as evidenced by frequent inclusion of hardware implementations and laboratory prototypes in his publications.