جست‌وجوی استاد و پژوهشگر

• Telecommunications
• Wireless Communications
• 5G Networks
• +۳ مورد دیگر

Nancy Varshney is a Part-Time Lecturer at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino. She contributes to the College of Electronic Engineering, Telecommunications, and Physics, as well as the College of Mechanical, Aerospace, and Automotive Engineering within the university. Her academic work focuses on telecommunications technologies, particularly in the context of 5G and beyond. Research Interests : Nancy Varshney's research spans key areas such as millimeter-wave (mmWave) communication systems, beamforming strategies, UAV (drone)-assisted networks, and backscatter sensor technologies. Her work addresses critical challenges in optimizing data collection, energy efficiency, and network performance for next-generation wireless systems. Recent Publications : Her recent publications highlight advancements in mmWave beamforming, UAV-aided communication, and resource allocation for 5G+. These studies explore low-complexity algorithms, wideband mmWave systems, and beam squint effects to enhance network performance. The research contributes to the evolution of telecommunications infrastructure and wireless signal processing. Teaching Contributions : She collaborates on courses including 'Software-defined communication systems,' '5G and next-generation mobile computing,' and 'Communication and network systems,' particularly focusing on computer network design and control. Her teaching roles span multiple academic years and programs at Politecnico di Torino.

Marco Grangettoمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Artificial Intelligence
• +۵ مورد دیگر

Marco Grangetto serves as Full Professor in the Department of Computer Science at the University of Turin, coordinating research in image processing and computer vision. His expertise spans wavelets, image/video coding, data compression, error resilient video coding, and biomedical image processing, with significant contributions to ISO JPEG2000 standardization and editorial roles in IEEE Transactions on Multimedia. His educational background includes a PhD in Electrical and Communications Engineering (2003) and MSc in Telecommunications Engineering (1999), both from Politecnico di Torino. His research integrates Artificial Intelligence and Deep Learning with medical imaging and fundamental compression theory , producing innovations in neural network pruning, capsule networks, and entropy-based models. Recent work focuses on Covid-19 diagnosis from chest X-rays and efficient 3D scene modeling. His publication trends reveal dual trajectories: applied medical AI (Covid-19 diagnostics, lung cancer segmentation) and theoretical advances (learned compression, contrastive learning, bias mitigation). This bridges clinical validation with information-theoretic foundations, particularly in resource-constrained environments. Scientific recognition includes: Premio Optime by Unione Industriale di Torino (2000) Fulbright Grant for research at UC San Diego (2001) He maintains leadership through IEEE editorial positions, ISO standardization participation, and MPAI membership. His research group develops medical datasets (UniToChest, UniToPatho) while advancing neural network efficiency for clinical deployment. Current projects focus on entropy minimization techniques and unbiased representation learning for healthcare applications.

Roberto Menichettiمشاهده پروفایل

پژوهشگر

• Theoretical Physics
• Computational Physics
• Statistical Mechanics
• +۷ مورد دیگر

Roberto Menichetti is a theoretical physicist at the University of Trento , affiliated with the Department of Physics and the VARIAMOLS research group . His work integrates computational physics, statistical mechanics, and machine learning to model biomolecules and soft matter systems. Prior roles include postdoctoral research at the Max Planck Institute for Polymer Research (2016-2018) and academic training at the University of Rome 'La Sapienza'. PhD in Physics (La Sapienza, 2016) BSc/MSc in Physics (La Sapienza, 2012) His research spans: Coarse-Graining Methods for polymers, colloids, and biomolecules High-throughput Molecular Dynamics Simulations in drug-membrane permeability studies Integration of Machine Learning with physical models for multi-scale analysis Applications in Biophysics (e.g., chromatin condensates, protein dynamics) Article trends highlight his focus on computational frameworks like EXCOGITO and theoretical investigations of non-equilibrium systems and allosteric regulation . He actively develops tools for systematic model reduction and conformational sampling in biomolecular systems. Contact: roberto.menichetti@unitn.it

Massimo Robionyمشاهده پروفایل

استاد

• Maxillofacial Surgery
• Head and Neck Surgery
• Virtual Surgical Planning
• +۳ مورد دیگر

Massimo Robiony is a Full Professor at the University of Udine, affiliated with the DAME Department of Medical Area. As Director of the Maxillofacial Surgery Clinic, School of Specialization in Maxillofacial Surgery, and Level II Master's Degree in Health and Humanization, he leads multidisciplinary initiatives in surgical innovation. His research spans 3D printing, virtual surgical planning, robotic surgery, and AI applications in craniofacial medicine. Academic Leadership: Director roles in clinical, specialization, and master's programs. Research Focus: 3D printing, AI diagnostics, and robotic surgery for maxillofacial pathologies. Email: massimo.robiony@uniud.it Recent publications emphasize AI-driven image processing, bioprinting, and augmented reality in surgical oncology. His work highlights the integration of virtual planning and 3D printing for trauma management, alongside advancements in robotic and transoral techniques for orbital and craniofacial disorders.

• Architecture
• Art and architecture
• Building information modeling (BIM)
• +۱۱ مورد دیگر

Giovanna Massari is an Associate Professor at the Department of Civil, Environmental and Mechanical Engineering, University of Trento. She serves as Rector's Delegate for Open Science and President of the Open Science Commission. Specializes in architectural design, digital modeling, and BIM/HBIM technologies Teaches courses on Civil Design + CAD, Digital models for the project, and Architectural survey with Design Laboratory Expertise includes geometric modeling, photogrammetry, and spatial representation Her research focuses on integrating digital technologies with architectural surveying and civil engineering design. She emphasizes interdisciplinary approaches and digital interoperability in construction projects. Teaching activities include training students in visual analysis, 3D digital modeling, and technical communication standards for civil engineering applications.

Giovanni Squilleroمشاهده پروفایل

استاد

• Artificial Intelligence
• Soft Computing
• Evolutionary Algorithms
• +۷ مورد دیگر

Giovanni Squillero is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He leads the CAD group (Electronic CAD & Reliability) and serves on Politecnico's Joint Committee for Teaching and Ph.D. Steering Committee (Pure and Applied Mathematics).

• Virtual Product Design
• Sustainable Design for Food Systems
• Engineering Management
• +۳ مورد دیگر

Prof. Francesco Musiari is a fixed-term Researcher at the Department of Industrial Systems and Technologies Engineering (DISTI) within the University of Parma . His academic activities focus on Integrated and Virtual Product Design and Sustainable Design for Food Systems for first-cycle degree programs in Management Engineering across multiple academic years (2021/2022 to 2024/2025). Teaching Roles : Course instructor for Integrated and Virtual Product Design (2023/2024–2024/2025), Sustainable Design for Food Systems (2021/2022–2024/2025), and Management Engineering (2022/2023–2024/2025) Research Focus : Virtual design methodologies, hygienic design in food processing, adhesive bonding optimization through laser ablation, and fatigue analysis of metallic joints Collaborations : Works with researchers including A. Pirondi , C. Favi , F. Moroni , and A.H.A. Lutey The researcher's 2024–2025 publications demonstrate cross-disciplinary expertise in mechanical design for food industry applications and materials engineering for structural integrity. His recent articles address computer-aided hygienic design systems , laser-manufactured interlocking patterns , and fatigue behavior of adhesive joints , reflecting integration of CAD technologies , molecular adhesion principles , and advanced manufacturing techniques .

Giovanni Michettiمشاهده پروفایل

دانشیار

• Archival Science
• Digital Archives
• Document Management
• +۵ مورد دیگر

Giovanni Michetti serves as Associate Professor in the Department of Modern Literature and Culture at Sapienza University of Rome. His academic career focuses on archival science with particular expertise in digital archives, document management systems, and technological applications for archival practices. Currently teaching multiple courses including Document Management, Digital Preservation, Archival Organization and Description, and Computer Science for Archives and Libraries for the 2024/2025 academic year, he maintains an active role in the university's archival science programs within the Historical Sciences and Archival and Library Science degree courses. Michetti's research centers on contemporary archives with special emphasis on digital transformation in archival practices. His work spans digital archives management, document management systems, descriptive models, classification plans, and technology integration in archival contexts. He investigates blockchain applications for enhancing trust in digital archives, develops data architectures for cultural heritage, and examines the economic value of archival resources. His scholarly contributions bridge traditional archival science with modern information technologies, addressing critical challenges in preserving digital records while maintaining intellectual control over archival materials. His recent publications reveal a clear trajectory toward technological solutions for archival challenges, spanning theoretical aspects of archival science, practical applications of new technologies, and professional standards development. Key recurring themes include digital preservation techniques, blockchain applications for record authentication, data architectures for cultural heritage, and the evolving role of archivists in the digital age. This research reflects the field's transition from traditional archival methods to innovative digital approaches that address contemporary challenges in recordkeeping. Michetti leads the research project ADA (Advanced Digital Archive), which develops systems for online access to digital collections of humanities at Sapienza University. While specific student advising details aren't provided in the available materials, his extensive publication record and active research projects suggest significant mentorship activities within the archival science community.

• Electronics
• Nanocomputing
• Quantum Technologies
• +۱۲ مورد دیگر

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
• +۷ مورد دیگر

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.

• Physics Education Research
• Teaching Methodologies in STEM
• Conceptual Understanding in Physics
• +۳ مورد دیگر

Claudio Fazio is a Full Professor in the Department of Physics and Chemistry at the University of Palermo. His academic focus lies in physics education research, particularly in innovative teaching methodologies, active learning strategies, and overcoming student misconceptions in physics. He actively engages in designing inquiry-based learning experiences and leveraging technology (e.g., smartphones, AR/VR, simulations) for effective STEM education. Research interests include conceptual understanding in mechanics, thermodynamics, and relativity, with a strong emphasis on pedagogical tools like cluster analysis to evaluate student reasoning patterns. He has pioneered low-cost experimental setups and open-inquiry approaches to enhance learning outcomes, especially in engineering and teacher training programs. Professor Fazio’s work addresses challenges in remote education, pandemic-era pedagogy, and integrating contemporary technologies (e.g., Moodle, MATLAB) into curricula. His contributions span K-12 teacher preparation through university-level educational innovation, emphasizing interdisciplinary collaboration and evidence-based practices.

• Functional Safety
• Functional Testing
• Microprocessor Testing
• +۹ مورد دیگر

Riccardo Cantoro is an Associate Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where he is a member of the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. He is affiliated with the CAD - Electronic CAD & Reliability Group and the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His work bridges academic research and industrial applications through multiple commercially funded projects. Scientific Disciplinary Sector: IINF-05/A - Information Processing Systems ERC Sectors: PE7_4, PE6_2, PE6_11, PE6_12 His research focuses on functional safety, functional testing, and microprocessor testing, with a strong emphasis on embedded systems and reliability. He applies machine learning and formal methods to enhance test efficiency and system robustness, particularly in automotive and safety-critical domains. His work integrates computer-aided design, fault modeling, and resilience assessment in both hardware and AI systems. The recent publications highlight a trend toward data-efficient and intelligent testing methodologies, combining machine learning (e.g., TabPFN, active learning) with traditional electronic design automation. Topics include microcontroller performance screening, CNN resiliency, FeFET device testing, and system-level test optimization, reflecting a cohesive research agenda in trustworthy computing and hardware reliability. Scientific Awards: No awards explicitly mentioned in the provided texts. Advising and Grants: Dr. Cantoro supervises numerous PhD students in Computer and Systems Engineering, focusing on functional safety, test methodologies, and AI for CAD. He leads multiple industry-funded research projects, including collaborations with Infineon Technologies and Dana-TM4 Italia, on topics such as ATPG tools, speed monitor modeling, and power module reliability. His role as Scientific Manager/Head underscores his leadership in applied research and technology transfer. Labs and Teams: He is a core member of the CAD - Electronic CAD & Reliability Group (DAUIN) and contributes to the CARS@PoliTO center, fostering interdisciplinary research in automotive systems and sustainable mobility.

• Computer Science
• Software Development
• Educational Technology
• +۳ مورد دیگر

Claudio Fornaro is a Lecturer and teaching assistant at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino. He has been actively involved in Technological Innovation Engineering doctoral colleges and teaches courses in Computer Science and Aerospace Engineering since 2019/2020. His work focuses on programming education, particularly in C89, and educational technology. University: Politecnico di Torino Department: Department of Control and Computer Science (DAUIN) Affiliated Schools: School of Engineering Academic Rank: Lecturer Research & Publications Key Research Areas: Educational technology, 3D modeling, software development for learning, and programming languages (C89). Recent Work: In 2022, he co-authored an article in IEEE Transactions on Learning Technologies about an integrated framework to support design students in 3D modeling. Labs & Groups Member of the TORSEC - Security Group (DAUIN) at Politecnico di Torino.

• Nanoelectronics
• Heterogeneous Systems
• Computing Architectures
• +۳ مورد دیگر

Ian O'Connor is a Professor of Heterogeneous and Nanoelectronics Systems Design at Ecole Centrale de Lyon , affiliated with the Lyon Institute of Nanotechnology (INL) . He serves as joint head of the Electronics group at INL and Director of the SoC² research network . Since 2008, he has held an Adjunct Professor position at Ecole Polytechnique de Montréal , Canada. Research focuses on novel computing architectures leveraging emerging technologies and design exploration methodologies Active in European/National research projects as workpackage leader and scientific coordinator Key roles: IEEE Council for Electronic Design Automation (Vice-President), EDAA Main Board member, IFIP WG10.5 participant Editorial leadership: Associate Editor for IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems Expert evaluator for France 2030 Council and IRDS Systems and Architectures IFT

• Computer Graphics
• Geometry Processing
• Computational Topology
• +۴ مورد دیگر

Michela Spagnuolo is a Research Director at the Italian National Research Council’s Institute of Applied Mathematics and Information Technology (CNR-IMATI-GE) since 2001. Her work bridges Computer Graphics , Geometry Processing , and Computational Topology , with applications in 3D Shape Analysis , Cultural Heritage , and Bioinformatics . Co-supervised 6 PhD theses (plus 2 ongoing) Associate Editor for journals like The Visual Computer and Computers&Graphics Chair of conferences including Shape Modeling International and EG Workshops on 3D Object Retrieval Research Interests : Focus on geometric and semantic modeling of 3D objects , computational topology for shape analysis , and structural/similarity evaluation . Her work enables advanced 3D search engines , semantic annotation , and medical imaging applications . Article Trends : Recent publications emphasize mesh quality indicators for Virtual Element Methods in engineering simulations and semantic-driven 3D model analysis for medical diagnostics and cultural heritage . Key subtopics include topological decomposition , data processing services , and multi-scale modeling . Scientific Awards : Fellow of the Eurographics Association (2014) Notable Contributions : Led projects like IQmulus (geospatial data analytics) and MultiScaleHuman (medical shape modeling). Pioneered CIDOC CRMdig for cultural heritage documentation and developed techniques for kernel computation in polyhedra .