جست‌وجوی استاد و پژوهشگر

Maria Caterina Mannoneمشاهده پروفایل

مدرس

• Mathematical Music Theory
• Category Theory
• Quantum Computing
• +۵ مورد دیگر

Maria Caterina Mannone is a Lecturer at the Department of Molecular Sciences and Nanosystems at Ca' Foscari University of Venice. Her academic profile demonstrates a unique interdisciplinary approach bridging mathematics, music, art, and computational sciences. Mannone's research interests span across multiple domains including mathematical music theory, category theory applications in art and science, quantum computing, robotic swarm intelligence, and interdisciplinary connections between mathematics and creative arts. Her work often explores the mathematical structures underlying musical composition, visual arts, and natural phenomena through sophisticated theoretical frameworks. Her recent publications reveal a consistent trend toward interdisciplinary research, particularly in the application of category theory to diverse fields from diabetic kidney disease analysis to quantum-driven robotic systems. Mannone has developed innovative approaches connecting seemingly disparate domains such as quantum physics and vocal theory, mathematical patterns in nature and musical composition, and quantum entanglement principles applied to robotic swarms. Mannone maintains an active publication record with significant contributions across mathematics, music theory, quantum computing, and biomedical applications. Her collaborative work with researchers across different disciplines demonstrates her role as a connector between traditionally separate academic fields.

• Electromagnetism
• Electromagnetic Compatibility
• Antenna Design
• +۳ مورد دیگر

Prof. Valter Mariani Primiani is a Full Professor at the Polytechnic University of Marche within the Department of Information Engineering . His research focuses on electromagnetic fields, with expertise in reverberation chambers, wireless communication systems, and quantum computing applications. He holds office hours Monday to Friday from 9-13 at the Dipartimento di Ingegneria dell'Informazione (via Brecce Bianche, Ancona) and is reachable at v.mariani@univpm.it . His work emphasizes electromagnetic compatibility , 5G technology , and quantum-based simulations . Recent studies include optimizing reconfigurable intelligent surfaces for wireless networks and analyzing 5G signal propagation in controlled environments. He actively contributes to IEEE standards, such as the P2718 Working Group, and collaborates on open-source tools for electromagnetic measurement. His research integrates computational methods (e.g., FDTD simulations) with experimental setups in reverberation chambers, addressing challenges in dosimetry, channel emulation, and high-frequency performance. His work supports advancements in both theoretical and applied electromagnetics, with applications spanning from biomedical dosimetry to smart infrastructure.

• Machine Learning
• Computer Vision
• Data Visualization
• +۸ مورد دیگر

Antonio Costantino Marceddu is a Research Fellow in Computer Engineering at the Polytechnic University of Turin's Department of Control and Computer Science (DAUIN). His research focuses on machine learning, computer vision, data fusion, and advanced data visualization techniques with applications in aerospace and environmental monitoring. Research Fellow at DAUIN PhD in Computer Engineering Focus on sensor data visualization and analysis Research interests span multiple domains: Augmented reality applications Fiber Bragg Grating sensor systems Quantum computing implementations Computer vision and image analysis Structural health monitoring His recent publications (2021-2025) demonstrate expertise in: Developing visualization systems for aerospace sensor data Innovative approaches to mask detection challenges Quantum adaptations for gaming applications Thermal property monitoring using optical sensors Soil moisture prediction with neural networks Marceddu has collaborated extensively with Professor Bartolomeo Montrucchio and colleagues across multiple research lines, contributing to advancements in real-time data monitoring systems and multivariate analysis applications.

• IoT Systems
• Environmental Monitoring
• Sensor Technology
• +۳ مورد دیگر

Peter Chiavassa is a Lecturer at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino, where he teaches Algorithms and Object-Oriented Programming and collaborates in Computer Science courses for Aerospace and Film and Media Engineering programs. His research focuses on IoT systems for environmental monitoring , particularly in indoor spaces, with a strong emphasis on multi-sensor device development and data quality improvement for air quality and comfort assessment. Research Highlights Specializes in Indoor Environmental Quality (IEQ) monitoring systems Developed low-cost IoT architectures for real-time environmental feedback Explores quantum computing applications in network function optimization Publication Trends Focus on sensor calibration and metrological traceability Work on duty-cycle optimization for PM monitoring Development of secure computing systems using ARM TrustZone

• Electron Microscopy
• Materials Science
• Physics of Matter
• +۴ مورد دیگر

Stefano Frabboni is a Full Professor at the University of Modena and Reggio Emilia (UNIMORE) within the Department of Physical, Computer and Mathematical Sciences. His academic career focuses on experimental physics, particularly in electron microscopy and material science. He teaches courses such as General Physics III , The Profession of Physicist , and Physics Laboratory I , emphasizing mechanical and electromagnetic wave phenomena, data analysis, and laboratory techniques. His research interests span Electron Microscopy , Materials Science , and Quantum Physics , with a strong emphasis on Orbital Angular Momentum (OAM) applications in electron beam shaping and magnetic field analysis. He has contributed extensively to High Entropy Alloys , Computational Ghost Imaging , and Nanoscale Magnetic Spectroscopy . The articles reflect a focus on electron beam manipulation , phase shifts in materials , and high-resolution imaging techniques . Recent article trends include optimizing substrate bias voltage in HEA films , Mo content effects on coatings , enhancing TEM resolution via computational methods , and fabricating 3D nanoarchitectures with direct-write approaches. Sub-fields covered in his work are electron vortex generation , quantum state discrimination , OAM sorting , plasmonic excitation analysis , and defect characterization in semiconductors .

Diletta Cacciagranoمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Blockchain Technology
• Quantum Computing
• +۷ مورد دیگر

Diletta Cacciagrano is an Associate Professor at Università di Camerino, specializing in interdisciplinary research that bridges Artificial Intelligence with Blockchain Technology and Internet of Things . Her work focuses on enhancing security, privacy, and efficiency in emerging technologies, particularly in healthcare systems , financial services , and edge computing environments . Research Interests : Explainability in AI systems Quantum-enhanced federated learning Blockchain applications for transparency Energy-efficient network protocols Adversarial attack detection Neuroscience-informed monitoring systems Publication Trends : Recent work highlights privacy-preserving edge AI through federated learning frameworks, quantum computing integration , and blockchain-enabled security across healthcare and financial domains. Her research emphasizes robustness against adversarial threats and optimization of resource-constrained IoT environments.

• Machine Learning
• Data Mining
• Big Data
• +۸ مورد دیگر

Donato Malerba is a Full Professor at the Department of Computer Science, University of Bari, Italy, and Director of the CINI Lab on Big Data. His research focuses on Machine Learning, Data Mining, and Big Data applications, with notable contributions to spatial data analysis, process mining, and cybersecurity. He has led multiple European and national research projects and received the IBM Faculty Award in 2004. Malerba serves on the Board of Directors of the Big Data Value Association and chairs international conferences like ECML PKDD and ALT/DS. His work bridges theory and practice, addressing challenges in environmental monitoring, network security, and explainable AI. Research interests include inductive logic programming, multi-relational mining, bioinformatics, and cyber threat detection. He has published over 200 papers in top venues and actively collaborates with industry stakeholders through projects like the PPP Big Data Value initiative. Awards: IBM Faculty Award 2004 Roles: Director of Computer Science Department, Director of CINI Lab on Big Data Key Projects: Lead investigator in EU-funded projects on Big Data analytics, cybersecurity, and environmental monitoring. Recent work emphasizes LLM applications for environmental monitoring (e.g., bark beetle outbreak detection via Sentinel-2 imagery) and quantum machine learning for incremental learning. His lab develops tools like PROPHET (explainable predictive process monitoring) and PANACEA (neural ensemble-based cyber threat detection).

• Superconductivity
• Quantum Technology
• Photonics
• +۳ مورد دیگر

Loredana Parlato is an Associate Professor at the University of Naples Federico II, affiliated with the Department of Physics 'Ettore Pancini'. She is also a researcher at the CNR Institute for Superconductors, Innovative Materials, and Devices (SPIN). Her research focuses on superconductivity, quantum technology, and photonics, with a particular emphasis on superconducting nanowire single-photon detectors (SNSPDs), ferromagnetic Josephson junctions, and quantum computing applications. Her work explores topics such as single-photon detection in the infrared range, magnetic hysteresis in Josephson junctions, and quantum key distribution (QKD) systems. She collaborates on projects involving novel materials like NbRe and MoSi, and has contributed to atmospheric lidar measurements using superconducting detectors. Publications span applied physics, materials science, and quantum electronics, with a focus on device optimization and fundamental physics phenomena. Parlato's research group develops advanced detectors for quantum communication, environmental monitoring, and high-sensitivity photon counting. Her studies on quasiparticle dynamics and noise reduction in superconducting circuits aim to enhance coherence times for quantum technologies. She actively participates in international conferences and workshops on low-temperature physics and superconducting devices.

• Condensed Matter Physics
• Superconductivity
• Quantum Computing
• +۳ مورد دیگر

Romano Alfonso is an Associate Professor affiliated with the CNR - Institute for Superconductors, Innovative Materials and Devices at the University of Salerno. His research focuses on condensed matter physics, particularly in superconductivity, quantum materials, and electronic correlations in strongly correlated systems. Key research interests include the study of unconventional superconductors (e.g., Sr2RuO4, Ca2RuO4), spin-orbital interactions in Hubbard models, and quantum transport phenomena in hybrid systems. He also explores theoretical frameworks for quantum computing algorithms applied to condensed matter systems, such as variational quantum eigensolvers for the Hubbard and Anderson models. Recent work highlights include investigations into the electronic structure of Ca2RuO4 using the Zaanen-Sawatzky-Allen approach, crystal growth of Bi-based topological superconductors, and the role of chiral domains in spin-triplet superconductors. His publications span topics like magnetic instabilities in quasi-one-dimensional materials, spin-charge transport in ferromagnet-superconductor heterostructures, and quantum entanglement measures in lattice models. Despite an extensive publication record (99 articles listed), no scientific awards or grants are explicitly mentioned in the provided text. No advising roles or student collaborations are noted here. Laboratory affiliations include the CNR Institute for Superconductors, where he contributes to interdisciplinary research on superconductivity, materials synthesis, and advanced characterization techniques for quantum materials.

• Energy storage
• Heat and mass transfer
• Thermal energy
• +۷ مورد دیگر

Professor Eliodoro Chiavazzo is a leading academic at Politecnico di Torino's Department of Energy (DENERG), where he focuses on energy storage, heat and mass transfer, and thermal energy systems. He serves as a member of the CleanWaterCenter@PoliTo and contributes to editorial boards of Scientific Reports and Entropy . His research spans computational engineering and energy processes engineering, aligning with UN SDGs 6, 7, and 9. He mentors PhD students in energy-related topics and participates in interdisciplinary projects. Current Appointments : Full Professor at Politecnico di Torino External Roles : Visiting Researcher at Princeton University (2013), Researcher at ETH Zurich (2009) His research centers on energy storage through innovative technologies, including the EU-funded BIG-MAP project for sustainable battery materials and the SoFiA project for soap-film-based artificial photosynthesis. He integrates machine learning with physical modeling to accelerate materials discovery and develops scalable solutions for CO2-to-fuel conversion. His work also explores foam and nanoparticle-enhanced thermal storage, with applications in building efficiency and industrial processes. Professor Chiavazzo supervises a research group (M3ES) and has contributed to numerous patents in water purification and hydrogen production. He teaches advanced courses on energy conversion, transport, and storage across multiple engineering disciplines. His scientific output combines theoretical modeling, experimental validation, and practical implementation in renewable energy systems.

• Power Quality
• Analog-to-Digital Conversion
• Digital-to-Analog Conversion
• +۷ مورد دیگر

Antonio Moschitta is an Assistant Professor at the Department of Engineering, University of Perugia, Italy. His research focuses on Power Quality, analog/digital conversion, Indoor Positioning, and Estimation Theory. He has authored over 100 papers in international journals and conferences. Ph.D. from University of Perugia (2002) Chair of IEEE Systems Council Italian Chapter Co-chair of 2012 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems Research interests span advanced measurement systems for biomedical and energy applications, including magnetic positioning, battery diagnostics, and signal processing. His recent work addresses AI-based measurement uncertainty, wireless sensor networks, and quantized signal analysis. Key article trends include: Battery Technology : Impedance spectroscopy, SOC estimation, degradation modeling Positioning Systems : Magnetic and ultrasonic localization, wearable devices for tremor detection Signal Processing : Quantization-based algorithms, parameter extraction, noise compensation Environmental Monitoring : Soil pollution mapping, energy systems for water heating Scientific roles include leadership in IEEE initiatives and contributions to the PRIN 2015 project on 6-DOF finger tracking. Collaborative efforts involve universities in Brescia and Cassino.

• Virtual Reality
• Augmented Reality
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Damiano Perri serves as an Adjunct Professor in the Department of Mathematics and Computer Science at the University of Perugia. With a strong background in computer science research and teaching, his work spans multiple cutting-edge domains with practical applications. His academic profile demonstrates a consistent commitment to both theoretical research and real-world implementation. His research interests encompass a broad spectrum of computer science disciplines including Virtual Reality, Augmented Reality, Artificial Intelligence, Cloud Computing, Machine Learning, High Performance Computing, Quantum Computing, and Health Informatics. His work often bridges multiple domains, such as applying VR/AR technologies to healthcare problems like Visual Snow Syndrome treatment, or combining quantum computing principles with machine learning approaches. Professor Perri's publication record shows consistent output with 37 publications spanning from 2018 to projected 2026, demonstrating his active research trajectory. His work appears in high-impact venues including IEEE Access and Lecture Notes in Computer Science, often in collaboration with colleagues like Osvaldo Gervasi and Marco Simonetti. His research has evolved from foundational work in parallel computing and VR to increasingly interdisciplinary applications including health informatics and quantum computing. As an educator, Professor Perri has supervised numerous students, contributing as co-author to 7 master's theses and 52 bachelor's theses since 2019. He teaches several courses including Elements of Computer and Operating System Architecture, Virtual and Augmented Reality Laboratory, Computer Networks: Protocols, and Informatics across different degree programs. He serves as the technical manager of the LibreEOL project since 2015, which appears to be an important electronic assessment platform used at the university. Additionally, he is currently participating in a PRIN research project focused on analyzing Italian language corpora using artificial intelligence techniques. Professor Perri has developed several practical tools to support teaching and research, including a Confusion Matrix generator, Timezones tool, Countdown Timer, Banker's Algorithm solver, Money Calculator, and Break Timer. These tools reflect his commitment to practical applications of computer science concepts and enhancing the educational experience.

• Spintronics
• Nanotechnology
• Magnetism
• +۴ مورد دیگر

Vito Puliafito is a Full Professor at the Politecnico di Bari, affiliated with the Department of Electromagnetic Fields (ING-IND/31). His research focuses on spintronics, nanotechnology, and unconventional computing, with applications in magnetic solitons, skyrmionics, and neuromorphic systems. His work explores magnetic soliton dynamics , Dzyaloshinskii-Moriya interaction , and micromagnetic modeling of ferromagnetic, ferrimagnetic, and antiferromagnetic materials. Key areas include skyrmion stabilization , spin-transfer torque , and nonlinear oscillator networks for computing. Recent publications highlight trends in skyrmion-based devices , Ising machine architectures , and magnetic tunnel junction sensors . His research bridges fundamental physics and translational applications in nanoscale magnetic systems. For contact, email: vito.puliafito@poliba.it

• multi-agent systems
• quantum systems
• nonlinear systems
• +۲ مورد دیگر

Alain Sarlette is a Lecturer in dynamical systems engineering at Ghent University , Belgium. His research focuses on the control and analysis of multi-agent systems , quantum systems , and nonlinear systems . He has collaborated with institutions such as Ecole des Mines de Paris, Princeton University, and the European Space Agency. Education: Engineering degree in applied physics (2005), PhD in dynamical systems modeling and control (2009), both from the University of Liège, Belgium. His work explores the intersection of nonlinear dynamics and distributed coordination , particularly in contexts like consensus algorithms on nonlinear state spaces (e.g., spheres) and their application to graph coloring problems. He has demonstrated that stable equilibria in such systems are linked to NP-hard complexity, with implications for quantum mechanics via the Bell-Kochen-Specker Theorem. He is involved in the Automatica research group and has contributed to seminars on nonlinear control theory. His academic collaborations span theoretical and applied domains, including aerospace and quantum computing.

• Electronic Engineering
• Instrumentation
• Signal Processing
• +۵ مورد دیگر

Paolo Carbone is a Full Professor in the Engineering Department at the University of Perugia. He holds a Bachelor's and PhD in Electronic Engineering from the University of Padova. His research focuses on instrumentation, signal processing, and measurement systems, with notable contributions to magnetic positioning and battery impedance analysis. He is an IEEE Fellow and recipient of the IEEE Instrumentation and Measurement Technical Award. Carbone has served as President of the IEEE Systems Council (2016–2017) and Head of the Department of Electrical Engineering at the University of Perugia (2011–2013). He has held visiting positions at UC Irvine, Vrije Universiteit Brussels, and Imperial College. His editorial roles include Editor-in-Chief of Measurement (2018–present) and ACTA IMEKO (2012–2017). His research interests span measurement science, sensor networks, and wearable technologies. Notable projects include the 6-DOF Finger Tracking system funded by the Italian Ministry of Education. He has authored/co-authored over 200 journal papers and three books, with recent work focusing on AI integration in measurement systems and battery diagnostics. Education: BSc (1990), PhD (1994) in Electronic Engineering from University of Padova Key Roles: IEEE Systems Council President, Department Head, and Editorial Leadership Awards: IEEE Fellow, Distinguished Lecturer, and IEEE Technical Award Projects: 6-DOF Finger Tracking, Battery Impedance Spectroscopy, Magnetic Positioning