جست‌وجوی استاد و پژوهشگر

• CAD tools
• Digital architectures
• Emerging technologies
• +۹ مورد دیگر

Giovanna Turvani is an Associate Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino, with affiliations in both the College of Electronic, Telecommunications and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. Scientific Branch: IINF-01/A - Electronics ERC Sectors: PE7_4, PE7_11, PE6_1, PE6_14, PE7_3 SDG Goals: Quality Education, Gender Equality, Affordable Energy, Industry Innovation Her research focuses on advanced electronics and quantum technologies, including: Logic-in-memory computing Quantum computing architectures Microwave imaging for medical and agricultural applications CAD tools for emerging nanotechnologies Embedded systems for bee health monitoring IoT solutions for bio-waste valorization Publications show strong expertise in quantum computing, nanocomputing, and microwave imaging, with recent trends emphasizing quantum optimization frameworks, in-memory architectures, and IoT-based agricultural technologies. She supervises PhD students in areas like quantum machine learning algorithms, predictive on-board systems, and quantum hardware design. Collaborations span multiple disciplines, including medical device development and agricultural electronics. Patents include innovations in microwave imaging, racetrack memory logic functions, and in-memory computing devices.

• Microwave Imaging
• Inverse Scattering
• Antenna Arrays
• +۴ مورد دیگر

Alessandro Fedeli is an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. He teaches the following courses: Electromagnetic Propagation Electromagnetic Sensing and Imaging Emissione Acustica ed Elettromagnetica della Nave (Acoustic and Electromagnetic Emission of the Ship) Radio Frequency and Microwave Circuits Remote Sensing and Satellite Images Yacht Navigation Support Systems These courses are offered in the Master's programs of: Internet and Multimedia Engineering Electronic Engineering Naval Engineering Yacht Design His research spans electromagnetic theory with emphasis on microwave imaging, inverse scattering, and antenna array diagnostics, applied to biomedical stroke detection, remote sensing, and nondestructive testing. He develops advanced inversion techniques including variable-exponent Lebesgue spaces and machine learning approaches for electromagnetic data processing. Analysis of his recent publications shows dominant focus on microwave-based stroke diagnostics (accounting for 40% of recent work) and antenna array fault detection (30%), with growing applications in agricultural monitoring and industrial sensing. His methodological innovations center on mild data-driven inversion strategies integrated with deep learning architectures. No scientific awards were mentioned in the available information. No information on advising students or research grants was found in the provided text. No specific laboratory or research team details were provided in the source material.

Salvatore Ivan Trapassoمشاهده پروفایل

استادیار

• Applied harmonic analysis
• Fourier analysis
• Machine learning
• +۵ مورد دیگر

Salvatore Ivan Trapasso is a Fixed-term Assistant Professor at the Department of Mathematical Sciences "GL Lagrange" (DISMA) , Polytechnic University of Turin , and a member of the SmartData@PoliTO - Big Data and Data Science Laboratory . His research focuses on Applied Harmonic Analysis , Fourier Analysis , Machine Learning , and Quantum Theory , with expertise in Mathematical Analysis (MATH-03/A) and Theoretical PDEs (PE1_11). Education : Implied PhD in Mathematics. Research Areas : Phase Space Analysis, Time-Frequency Methods, and Applications to Quantum Mechanics. His recent publications investigate phase space techniques for Feynman Path Integrals , Twisted Laplacian , Compressed Sensing , and Stability of Scattering Transforms . His work bridges Harmonic Analysis with Machine Learning and Quantum Dynamics . Notable scientific awards include the Axioms Young Investigator Award (2022) , Best Paper Award (ICGF 2020) , and the Quality Award 2019 from Polytechnic University of Turin. He serves on the Editorial Board of Advances in Operator Theory and as Associate Editor for University Texts in the Mathematical Sciences . Teaching roles include Lecturer for Mathematical Principles in the College of Architecture and Design , Collaborator for Mathematical Analysis I/II in Biomedical and Aerospace Engineering, and Contributor to advanced mathematical methods in Computer Science Engineering.

Mirco Raffettoمشاهده پروفایل

استاد

• Electromagnetic Fields
• Computational Electromagnetics
• Metamaterials
• +۷ مورد دیگر

Mirco Raffetto is a Full Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa under the Polytechnic School. He actively participates in academic governance as a member of the Department Board, Scientific Council of the Interuniversity Center for Electromagnetic Fields and Biosystems (ICEMB), and School Council. Research Focus: His work spans Electromagnetic field analysis for moving media Computational electromagnetics with finite element methods Metamaterial modeling and inverse scattering Photobiomodulation effects on mitochondrial function Microwave imaging for biomedical applications Waveguide and cavity analysis for industrial systems His research combines theoretical rigor with numerical simulations to solve complex problems in electromagnetics and interdisciplinary biosystems. Teaching: He teaches graduate courses on Electromagnetic Fields in multiple degree programs including Computer Engineering, Electronics Engineering, and Biomedical Engineering. His teaching emphasizes both fundamental theory and practical applications.

• Computational Electromagnetics
• Microwave Imaging
• Antenna Design
• +۵ مورد دیگر

Francesca Vipiana is a Full Professor of Electromagnetic Fields at the Department of Electronics and Telecommunications at the Polytechnic University of Turin (POLITO). She is also a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab. With over 20 years of full-time research experience, Prof. Vipiana has established herself as a leading expert in computational electromagnetics and microwave imaging systems. Her research interests span antenna design , computational electromagnetics , microwave imaging for medical applications, and food safety/security monitoring . She has pioneered work in numerical techniques based on integral equations and method of moments, with particular focus on multiresolution and hierarchical schemes, domain decomposition, and advanced integration methods. Prof. Vipiana's recent publications show a strong trend toward medical diagnostics using microwave technology, particularly for Alzheimer's disease detection and brain stroke imaging. Her work increasingly integrates machine learning with electromagnetic sensing, and she has developed portable, low-cost microwave imaging systems using off-the-shelf components. Lot Shafai Mid-Career Distinguished Achievement Award (2017) URSI Young Scientist Award (2005) IEEE WiEM best poster award (2009) ISMB Best Paper Award (2011) Prof. Vipiana serves as Principal Investigator for multiple significant research projects including the Marie Sklodowska-Curie Action EMERALD, the Proof of Concept FastFood project, and the national PRIN project BEST-Food. She currently supervises 13 PhD students working on diverse topics from microwave brain imaging to glide-symmetric metamaterials. As an Associate Editor for IEEE Transactions on Antennas and Propagation and the IEEE Antennas and Propagation Magazine, she plays a key role in advancing the field. Her research group focuses on bridging theoretical electromagnetics with practical applications in healthcare and food safety.

Giovanni Albertiمشاهده پروفایل

استاد

• Partial Differential Equations
• Inverse Problems
• Applied Harmonic Analysis
• +۳ مورد دیگر

Giovanni Alberti is a Full Professor in Mathematical Analysis at the Department of Mathematics (DIMA) of the University of Genoa. He earned his D.Phil. at the University of Oxford and completed postdoctoral positions at École Normale Supérieure (Paris) and ETH Zurich. His research focuses on partial differential equations, applied harmonic analysis, inverse problems, and machine learning. University of Genoa MaLGa Center (Machine Learning Genoa) Mathematical Institute, Oxford Maths Department, ETH Zurich His work bridges mathematical analysis with computational methods, particularly in inverse problems , compressed sensing , and machine learning . He has developed algorithms for real-time geotechnical predictions, sparse optimization for scatterer localization, and continuous generative models. Recent publications emphasize physics-data-driven integration and low-dimensional manifolds. He received the Gioacchino Iapichino Prize (2017), Eurasian Association on Inverse Problems Young Scientist Award (2018), and an ERC Starting Grant (2021). He serves on editorial boards for journals including Inverse Problems and SIAM Journal on Imaging Sciences.

• Antenna Design
• Microwave Engineering
• Radar Systems
• +۳ مورد دیگر

Pietro Rosatti is a Research Fellow at the Department of Industrial Engineering, University of Trento, specializing in electromagnetic systems and artificial intelligence applications. His research focuses on: Antenna Design for automotive radar and communication systems Microwave Engineering and mm-wave technologies Artificial Intelligence integration in electromagnetic problem-solving Inverse Problems and electromagnetic imaging System-by-Design optimization frameworks Real-world applications in medical imaging and radar systems Analysis of his 17 publications (2018-2025) reveals a dominant trend toward AI-driven solutions for electromagnetic challenges, particularly in automotive radar antenna design (77 GHz systems), microwave medical imaging, and ground-penetrating radar. His work consistently employs multi-objective evolutionary optimization and system-by-design methodologies to overcome the curse of dimensionality in inverse scattering problems, with increasing emphasis on real-time deep learning frameworks since 2021.

• Antenna Theory and Design
• Electromagnetic Fields
• Quantum Electromagnetics
• +۷ مورد دیگر

Nicola Anselmi is a Researcher (RTD-A) at the University of Trento, affiliated with the Department of Civil, Environmental and Mechanical Engineering. He also contributes to the Department of Physics through teaching and research. His work focuses on advanced antenna array design, quantum computing applications in electromagnetics, and modular phased array architectures. Key research areas include tolerance analysis of reconfigurable systems, compressive sensing techniques for antenna characterization, and optimization strategies for next-generation wireless communication systems. He teaches courses such as Antenna Theory and Synthesis Methods (Civil Engineering) and Quantum Electromagnetics (Physics), emphasizing theoretical foundations and practical software applications. His research leverages quantum computing for solving complex electromagnetic problems and explores novel array configurations for low Earth orbit (LEO) satellite communications and urban wireless networks. Anselmi’s recent work highlights advancements in interval arithmetic for robust array tolerance analysis, Bayesian compressive sensing for microwave imaging, and self-replicating tiling techniques for modular array design. His publications span IEEE journals and conferences, addressing topics like electromagnetic environment optimization, sparse array synthesis, and AI-driven antenna optimization. Though no scientific awards are explicitly mentioned, his contributions reflect cutting-edge innovations in electromagnetics and quantum engineering. His research also involves collaborations with the ELEDIA Research Center, focusing on task-oriented reflectarrays and system-by-design methodologies for multi-scale applications. Current interests include overcoming electromagnetic challenges in smart cities and next-generation radar systems.

Bruno Carpentieriمشاهده پروفایل

دانشیار

• Numerical Linear Algebra
• High-Performance Computing
• Computational Electromagnetics
• +۵ مورد دیگر

Bruno Carpentieri is an Associate Professor in Applied Mathematics at the Faculty of Computer Science , Free University of Bozen-Bolzano , Italy. His work focuses on Numerical Linear Algebra , High-Performance Computing , and Preconditioning Techniques for large-scale scientific problems. Education : Laurea in Applied Mathematics (1997, University of Bari Aldo Moro); PhD in Computer Science (National Polytechnic Institute Toulouse). Research Interests : Sparse linear systems, Krylov subspace methods, computational electromagnetics, PageRank problems, and fractional calculus applications in nonlinear engineering. His publications (1998–2025) emphasize efficient solvers for multi-shifted systems, parallel computing, and preconditioning strategies. Recent works (2025) explore fractional-order methods and multilayer network centrality . He has collaborated on ITER tokamak simulations (F4E/MIUR grants) and biomedical finite element models . Grants : F4E-2008-OPE-06-06-11 (ITER analysis); MIUR PRIN 2010SPS9B3. Key Contributions : VBARMS preconditioner (2014), hybrid block GMRES variants (2018), and chaos-enhanced fractional solvers (2025).

Loreto Di Donatoمشاهده پروفایل

دانشیار

• Electromagnetic Fields
• Microwave Imaging
• Inverse Scattering Problems
• +۵ مورد دیگر

Loreto Di Donato is an Associate Professor of Electromagnetic Fields and Antennas at the Department of Electrical, Electronics and Computer Engineering, University of Catania, Italy. He joined the university in 2013 as an Assistant Professor and was promoted to Associate Professor in 2021 after demonstrating significant research contributions in electromagnetic applications. His educational background includes: B.S. Laurea degree in Biomedical Engineering from the University of Naples "Federico II" (2006) M.S. Laurea degree in Biomedical Engineering from the University of Naples "Federico II" (2008) Ph.D. in Information Engineering (Applied Electromagnetics) from University "Mediterranea" of Reggio di Calabria (2012) Professor Di Donato's research spans multiple cutting-edge areas in electromagnetics with particular emphasis on practical applications. His work in microwave imaging has significant implications for medical diagnostics, nuclear fusion research, and structural analysis of historical buildings. He has developed expertise in solving inverse scattering problems and designing specialized antennas for challenging environments including plasma diagnostics. His research in millimeter-wave bio-electromagnetic interactions addresses emerging concerns about 4G/5G technologies. His scientific contributions have been recognized through prestigious awards including international Young Scientist honors and the "Gaetano Latmiral" Prize from the Italian Society of Electromagnetism. These accolades reflect his standing in the international electromagnetics community. Professor Di Donato maintains an active research program with multiple collaborations across institutions. He regularly offers research opportunities for graduate students, particularly in microwave imaging for nuclear fusion applications through partnerships with INFN-LNS. His teaching includes advanced courses like "Transmission Lines and Antennas" for Telecommunications Engineering students. His laboratory work bridges theoretical electromagnetics with practical applications through collaborations with ST Microelectronics, multiple university departments, and national research institutions. Current projects focus on electromagnetic solutions for industrial IoT, environmental remediation, and advanced imaging techniques using novel approaches like 3D-printed cloaking devices.

• Electromagnetic Fields
• Antenna Design and Diagnosis
• Microwave Imaging
• +۶ مورد دیگر

Andrea Randazzo is a Full Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. Specializing in Electromagnetic Fields (IINF-02/A), he teaches multiple courses including Antennas, Electromagnetic Fields, and Electromagnetic Monitoring Techniques across various engineering programs such as Internet and Multimedia Engineering, Electronic Engineering, and Engineering for Natural Risk Management. Professor Randazzo's research spans several interconnected domains within electromagnetic theory and applications: Antenna Systems : Specializing in antenna array diagnosis, fault detection, and advanced antenna engineering Medical Applications : Developing microwave-based techniques for stroke detection and monitoring, particularly for pediatric patients Remote Sensing : Applying FMCW radar technology for sea wave dynamics, coastal monitoring, and hydrological sensing Nondestructive Testing : Creating microwave imaging methods for plant diagnostics and structural monitoring Mathematical Methods : Innovating in inverse scattering problems using Lebesgue-space approaches and data-driven inversion techniques His publication record demonstrates a clear trajectory toward increasingly sophisticated data-driven approaches to electromagnetic imaging, with recent work emphasizing machine learning integration, particularly CNNs for antenna array diagnosis. A significant portion of his research focuses on medical applications, especially stroke detection using microwave technologies, showing consistent development from theoretical approaches to practical implementations and numerical assessments. His work bridges theoretical electromagnetic theory with practical applications across healthcare, environmental monitoring, and industrial processes. Professor Randazzo has supervised numerous academic projects reflected in his extensive teaching portfolio across multiple engineering programs. His research likely involves collaboration with medical institutions given the healthcare-focused applications of his work, though specific grant information is not provided in the available materials. His laboratory work appears to focus on electromagnetic sensing and imaging systems, with particular emphasis on developing practical implementations of theoretical approaches, as evidenced by projects involving low-cost FMCW radar sensors and microwave moisture content sensors for food industry applications.

Matteo Santacesariaمشاهده پروفایل

دانشیار

• Inverse Problems
• Mathematical Analysis
• Medical Imaging
• +۳ مورد دیگر

Matteo Santacesaria is an Associate Professor at the Department of Mathematics (DIMA) of the University of Genoa. His research focuses on inverse problems, mathematical analysis, and their applications in medical imaging and machine learning. He teaches courses such as Mathematics for Architectural Sciences, Mathematical Analysis I, and Company Internship for Mathematics students. His work bridges theoretical mathematics with practical applications, including compressed sensing, MRI and CT reconstruction, and deep learning techniques. Recent projects involve developing algorithms for artifact correction in medical imaging and sparsity-promoting regularizers for inverse problems. He actively contributes to international conferences like SSVM and collaborates on manifold learning and variational methods. His research emphasizes interdisciplinary solutions for imaging challenges and optimization in inverse problem frameworks.

Matteo Albaniمشاهده پروفایل

استاد

• Antenna Engineering
• Electromagnetics
• Microwave Engineering
• +۳ مورد دیگر

Matteo Albani is a Full Professor at the Department of Information Engineering and Mathematical Sciences, University of Siena. His research focuses on antenna engineering, computational electromagnetics, and metamaterials, with particular emphasis on GRIN lens antennas, metasurfaces, and reconfigurable intelligent surfaces (RIS). He teaches courses in Mathematical Methods for Engineering and Microwave Engineering at the Master’s level in Electronics and Communications Engineering. **Research Interests**: Albani’s work spans numerical methods for antenna design, electromagnetic scattering analysis, and optimization of wave propagation phenomena. His recent contributions include advancements in geometrical optics-based lens design, fast sweeping methods for eikonal equations, and ray-based modeling of RIS systems. He has pioneered techniques for wide-angle anomalous refraction using surface field optimization and developed hybrid analytical-numerical approaches for diffraction coefficient calculations. **Publications Trends**: Over 15 recent articles highlight his focus on numerical methods (Lax-Friedrichs sweeping method), smart surface applications (RIS, metasurfaces), and innovative antenna technologies (3D-printed lenses). These studies emphasize practical implementations for millimeter-wave systems and smart radio environments. **Grants & Labs**: While specific grants aren’t detailed, his work aligns with cutting-edge projects in antenna innovation and electromagnetic systems. He collaborates on projects like the Antarctic firn propagation measurements and radar antenna development for industrial applications.

• Electromagnetic Theory
• Microwave Engineering
• Antenna Design
• +۲۱ مورد دیگر

Giuseppe Schettini is a Full Professor in the Department of Industrial, Electronic and Mechanical Engineering at Roma Tre University, Italy. His research spans electromagnetic theory, antenna design, microwave engineering, and fusion energy systems, with a focus on electromagnetic band-gap (EBG) structures, resonant-cavity antennas, through-the-wall imaging, and Lower Hybrid Current Drive (LHCD) for tokamaks. His research interests include computational electromagnetics, wireless power transfer, photonic crystals, leaky-wave antennas, and 3D-printed dielectric components. He employs advanced numerical techniques such as the Cylindrical Wave Approach (CWA), Finite-Difference Time-Domain (FDTD), and Finite Element Method (FEM) for modeling and simulation. His work bridges theoretical analysis with experimental validation, particularly in microwave components and imaging systems. Recent publications highlight trends in high-gain antennas using 3D-printed superstrates, directive radiation from photonic crystals, and applications in fusion energy (e.g., DTT and ITER). His work also extends to wearable and implantable device interactions, radar systems, and inverse scattering for through-the-wall imaging. He frequently collaborates with researchers such as Cristina Ponti, Paolo Baccarelli, Silvio Ceccuzzi, and Lara Pajewski. Giuseppe Schettini has no listed scientific awards in the provided text. He advises students and researchers in electromagnetic theory and antenna systems, though specific names are not listed. His work is supported by national and international projects related to fusion energy, microwave systems, and radar technologies. He contributes to major initiatives like the Divertor Tokamak Test (DTT) facility and ITER-relevant LHCD systems. He leads research activities in electromagnetic scattering, microwave component design, and imaging systems. His team focuses on EBG-based antennas, cylindrical wave modeling, and experimental characterization of dielectric structures. The laboratory work includes 3D printing for antenna superstrates and FDTD simulations for GPR and biomedical applications.

Massimo Gaspariمشاهده پروفایل

استاد

• Astrophysics
• Computational Astrophysics
• Galaxy Formation and Evolution
• +۵ مورد دیگر

Massimo Gaspari is a Full Professor at the University of Modena and Reggio Emilia , affiliated with the Department of Physical, Computer and Mathematical Sciences. He is an astrophysicist specializing in theoretical and computational astrophysics , with a focus on galaxy formation and evolution, supermassive black hole feedback, and multi-phase gas dynamics in galaxy clusters. His work bridges high-resolution 3D MHD simulations with multiwavelength observations (X-ray, optical/IR, radio) to study AGN feedback mechanisms and intracluster medium properties. Research Interests: Theoretical & Numerical Astrophysics Active Galactic Nuclei (AGN) Feedback Multiphase Gas Dynamics Galaxy Cluster Thermodynamics Magnetohydrodynamic Simulations Observational Data Comparison Technical Expertise: FLASH Code Development Adaptive Mesh Refinement High-Performance Computing Markov Chain Monte Carlo Analysis Gaspari's 158 publications with 8000+ citations and $7 million in funding highlight his impact in quantifying turbulence, shocks, and non-thermal pressure support in galaxy clusters. His CHEX-MATE project collaborations (2024-2025) demonstrate expertise in combining X-ray, Sunyaev-Zel'dovich, and weak lensing data for triaxial cluster analysis. Current research trends include: Jet-driven shocks and cavity dynamics in cooling flow clusters Self-regulated AGN feedback cycles in triple-offset systems Multi-scale disk wind analysis in radio-quiet/radio-loud AGN Deep learning techniques for 3D thermodynamic profile reconstruction Cool core disruption mechanisms via strong radio AGN activity Proto-ICM analysis in high-redshift protoclusters He maintains active collaborations with institutions like Princeton University and INAF , with observational programs across XMM-Newton , Chandra , and ALMA . Contact: massimo.gaspari@unimore.it (primary), mgaspari@astro.princeton.edu (secondary).