جست‌وجوی استاد و پژوهشگر

Sabrina Brigadoiمشاهده پروفایل

استادیار

• functional near-infrared spectroscopy
• visual short-term memory
• cognitive neuroscience
• +۳ مورد دیگر

Sabrina Brigadoi is an Assistant Professor at the University of Padua, Italy, specializing in cognitive neuroscience and neuroimaging methodologies. Her research centers on functional near-infrared spectroscopy (fNIRS) and visual short-term memory , investigating neural mechanisms of attention, working memory, and visual search. She pioneers methodological advancements including motion correction algorithms, optimal source-detector configurations, and neonatal cap design for fNIRS applications. Her work bridges technical innovation with cognitive theory to enhance non-invasive brain imaging capabilities. Recent publications (2021-2025) reveal expanding applications in smartphone-based sensor registration , PTSD biomarker discovery , and infant neurodevelopment . Her research trajectory demonstrates progression from foundational fNIRS methodology to translational studies in clinical and developmental contexts, maintaining strong emphasis on visual cognition while diversifying into psychiatric and pediatric neuroscience.

• Industrial Engineering
• Information Engineering
• Circular Economy
• +۴ مورد دیگر

Andrea Urbinati is an Associate Professor at Università Carlo Cattaneo - LIUC, specializing in Industrial Engineering and Information Engineering. His research centers on the practical implementation of circular economy principles, with emphases on circular business models, digital circular economy, and innovation processes. He actively investigates how open innovation, Industry 4.0 technologies, and lean production synergize to enable sustainable transitions in manufacturing and construction sectors. Urbinati's work explores: Collaborative frameworks for circular product design in resource-intensive industries like construction Policy intermediation in green public procurement Stakeholder engagement strategies for circular ecosystems Theoretical advancements in circular economy modeling and implementation roadmaps His recent publications (2024-2025) predominantly analyze the intersection of circular economy with digital transformation, open innovation, and operational methodologies. Themes include Industry 4.0 integration, metaverse leadership capabilities, bioeconomy applications, and performance management systems for circular businesses. No awards, student advisements, or lab affiliations are documented in the provided materials.

• Heterogeneous Catalysis
• Zeolite Synthesis
• Biomass Conversion
• +۵ مورد دیگر

Alfredo Aloise serves as an Associate Professor in the Department of Industrial Chemistry at the University of L'Aquila, Italy. His office is located in Room A4-22 of the "Angelo Camillo De Meis" Building with contact number +39 0862 433702. His research spans catalysis, material synthesis, and sustainable energy applications. His primary research interests focus on heterogeneous catalysis , zeolite synthesis , and biomass conversion for industrial chemical processes. He specializes in developing nanostructured zeolitic materials with tailored channel structures and acidity (Brønsted/Lewis sites), hierarchical zeolites, and MOFs. A significant portion of his work addresses catalyst deactivation mechanisms—particularly coke formation—in biofuel production processes. His methodology emphasizes advanced characterization techniques including FT-IR, NMR, XRD, TGA, TPD-NH3, TPR, and GC-MS for comprehensive catalyst analysis. Analysis of his 15 most recent publications (2025-2018) reveals dominant research themes in hydrogen storage using biomass-derived activated carbons (e.g., pinecone-based materials), catalytic conversion of bioethanol and plastic waste , and methanol-to-dimethyl ether (DME) dehydration using zeolitic catalysts (ZSM-5, FER, beta). His work consistently investigates structure-property relationships in zeolites, including Si/Al ratio effects, phase transitions, and hierarchical porosity impacts on catalytic performance. These studies bridge materials science, sustainable energy, and industrial chemistry with strong emphasis on practical applications. No scientific awards were documented in the provided materials. While teaching responsibilities include courses on zeolite synthesis and material characterization, no information regarding graduate students, research grants, or specific laboratory teams was available in the source text. His current reception hours require direct contact with the professor as indicated in his official profile.

Emmanuela Orsiniمشاهده پروفایل

استادیار

• Cryptography
• Secure Computation
• Multiparty Computation
• +۷ مورد دیگر

Emmanuela Orsini serves as an Assistant Professor in the Department of Computing Sciences at Bocconi University in Milan, Italy. She previously held a permanent position as a Research Expert in the Computer Security and Industrial Cryptography (COSIC) group at KU Leuven, Belgium, and worked as a Senior Research Associate at the University of Bristol, UK. Her educational background includes a PhD in Mathematics and Statistics for the Computational Sciences from the University of Milano and a Master's degree in Mathematics from the University of Pisa. These qualifications form the foundation of her expertise in both theoretical and applied aspects of cryptography. Orsini's research spans the theoretical and practical dimensions of secure computation, with particular emphasis on multiparty computation and homomorphic encryption. Her work on efficient zero-knowledge schemes has contributed to practical implementations of cryptographic protocols that maintain security while optimizing computational resources. She has made significant contributions to post-quantum cryptography, notably through her involvement in the NIST post-quantum standardization process with the LIMA and NewHope submissions, as well as developing the FAEST signature algorithm which leverages AES for quantum-resistant signatures. Analysis of her recent publications reveals a strong focus on optimizing cryptographic protocols for practical deployment. Her work demonstrates consistent advancement in making multi-party computation more efficient while maintaining security guarantees, with particular attention to zero-knowledge proofs and post-quantum cryptographic constructions. The progression from theoretical foundations to practical implementations is evident across her publication history. Orsini has served on program committees for numerous prestigious cryptography conferences including CRYPTO, EUROCRYPT, and ACM CCS, reflecting her standing in the cryptographic research community. Her editorial work includes serving on the boards of Mathematical Cryptology and Communications in Cryptology. Her teaching activities span multiple institutions, with recent courses including Information Theory and Introduction to Computer Science at Bocconi University. Previously, she has taught post-quantum cryptography at the University of Pisa, public key cryptography at ESA/ESTEC, and coding theory at KU Leuven and University of Bristol. Orsini actively contributes to collaborative research projects, particularly in the post-quantum cryptography space through her involvement with the NIST standardization process. Her recent work on FAEST demonstrates her leadership in developing practical quantum-resistant signature schemes that balance security, efficiency, and implementation considerations.

Andrea Tangherloniمشاهده پروفایل

استادیار

• Computational Biology
• Bioinformatics
• Artificial Intelligence
• +۳ مورد دیگر

Andrea Tangherloni is currently an Assistant Professor in the Department of Computing Sciences at Bocconi University , Milan, Italy. His academic journey includes a Bachelor’s (2013), Master’s (2015), and PhD (2019) in Computer Science from the University of Milano-Bicocca. Prior to his current role, he held positions as a Research Associate at the University of Cambridge and Wellcome Trust – MRC Cambridge Stem Cell Institute (2018–2020), and Postdoctoral Research Fellowships at the University of Bergamo (2020–2022) and Bocconi University (2022–2023). Education: Bachelor’s, Master’s, and PhD in Computer Science from University of Milano-Bicocca (2013–2019). Research Interests focus on bridging Computational Biology , Bioinformatics , and Artificial Intelligence to address computationally intensive challenges in biology and medicine. His work emphasizes developing AI-based tools for understanding cell development, disease progression, and advancing personalized and regenerative medicine through techniques like Machine Learning , Computational Intelligence , and High-Performance Computing . Publication Trends highlight his contributions to single-cell RNA-seq analysis, autoencoder-based methods, and GPU-accelerated simulations. Key areas include cell type identification , multi-objective optimization , haplotype assembly , and medical imaging enhancement , reflecting interdisciplinary applications of AI in biomedical research.

Georgia FARGETTAمشاهده پروفایل

پژوهشگر ارشد

• Optimization
• Machine Learning
• Game Theory
• +۹ مورد دیگر

Georgia Fargetta is a Research Fellow (RTD-A) in Computer Science at the Department of Mathematics and Computer Science, University of Catania, Italy. She holds a PhD in Computer Science (2022) and both Bachelor's (2017) and Master's (2019) degrees in Mathematics from the University of Catania. Current academic affiliation: Department of Mathematics and Computer Science, University of Catania Academic rank: Research Fellow RTD-A (INF/01) Research themes: Optimization, Machine Learning, Game Theory, and applications to supply chain networks and crowd evacuation modeling Research Interests Georgia's research spans multiple domains including: Optimization Game Theory Metaheuristic Algorithms Crowd Simulation Medical Supply Chain Her publications demonstrate expertise in applying these methodologies to diverse problems such as social media content competition, emergency evacuation planning, and medical supply allocation. The scientific awards section highlights: Young Women in Operations Research Award (EURO WISDOM, 2021) Young Women for Operational Research (2022) She actively participates in international conferences including ODS, EUROPT, and MIC. As member of IPLAB (Image Processing Laboratory), she contributes to research in Computer Vision and Multimedia.

Simone Faroمشاهده پروفایل

دانشیار

• Algorithmic solutions for text-processing
• Natural language processing
• Algorithmics in quantum domain
• +۱۲ مورد دیگر

Simone Faro is an Associate Professor at the University of Catania , affiliated with the Department of Mathematics and Computer Science . He has held this position since 2015, after serving as a University Researcher from 2006 to 2015. Teaches Algorithms and Laboratory (Bachelor's L31) and Quantum Computer Programming (Master's LM18) Also teaches Computer Science (Bachelor's L20) and previously held Computational Linguistics (Master's LM49) at the Department of Humanities Research Focus : Algorithmic solutions for text-processing and natural language processing Combinatorial algorithms on graphs and networks Privacy-preserving text processing Bit-parallel automata simulations Quantum domain algorithm design Research Projects : Co-Principal Investigator for STORAGE (2020), University of Catania Responsible for Scientific Degrees Plan (PLS 2019/21) Component in Godscapes project (2020) and COMPACT project (2015) Principal Investigator for multiple string matching and secure text processing projects Editorial Roles : Guest Editor for Algorithms journal (MDPI) special issues Editor for String Processing and Combinatorial Algorithms (Springer Nature) Member of Le Matematiche editorial team Contact: faro@dmi.unict.it | simone.faro@unict.it

Alessandro Ortisمشاهده پروفایل

استادیار

• Computer Vision
• Biometrics
• Machine Learning
• +۶ مورد دیگر

Alessandro Ortis is a Fixed-term Assistant Professor (RTDb) in Computer Vision at the Department of Mathematics and Computer Science, University of Catania . He teaches Programmazione 2 (Computer Science BD) and Statistical Laboratory (Data Science MD). As director of the IPLAB Biometric Research Group (BioRG) , he leads work in Computer Vision , Deepfake Detection , and Biometric Security with applications in Forensic Analysis and Medical Imaging . He is an IEEE Senior Member and active participant in international scientific events as organizer and reviewer. Education: PhD in Mathematics and Computer Science (2019, University of Catania; Imperial College London collaboration), MSc in Computer Science (summa cum laude, 2015) His research focuses on adversarially robust models , multimodal analysis , and physiological signal processing . Current projects include SIAM (Multimodal AI) and SAFE-IA (AI Reliability & Robustness). He has authored/co-authored over 20 journal papers and 40 conference proceedings, including a Best Poster Award at IMPROVE 2021. Key Research Areas: Computer Vision Biometric Security Adversarial Machine Learning Medical Imaging Analysis Forensic Vision He holds editorial/reviewer roles at IEEE Access , Journal of Imaging , and Springer LNCS . The BioRG team under his leadership explores explainable AI , edge computing frameworks , and privacy-preserving learning for biometric applications.

Donatella Sciutoمشاهده پروفایل

استاد

• Embedded systems
• Multiprocessor System on Chip
• Reconfigurable systems
• +۵ مورد دیگر

Donatella Sciuto is a Full Professor in Computer Engineering at the Department of Electronics and Information of Politecnico di Milano, where she conducts research in System Architectures. She serves as Deputy Director of Education at CEFRIEL, managing executive company education training programs. Her academic career spans multiple leadership roles in professional organizations including the Council of EDA (CEDA) where she served as VP of Finance (2008-2009) and is currently President Elect. Her research focuses on embedded systems design methodologies, with particular expertise in Multiprocessor System on Chip, reconfigurable systems, hardware/software co-design, and design space exploration techniques. She leads the Embedded Systems Design and Design Methodologies research group (sagroup.elet.polimi.it) and has contributed significantly to the field of Electronic Design Automation. Her publication record shows a consistent focus on reconfigurable computing and MPSoC design, with recent work emphasizing dynamic reconfiguration techniques, hardware/software synchronization in multiprocessor systems, and optimization algorithms for heterogeneous architectures. Her research demonstrates a progression from foundational work in embedded systems to more complex system-level design methodologies for modern reconfigurable architectures. She has held editorial positions with prestigious journals including IEEE Transactions on Computers, Journal of Design Automation of Embedded Systems, and IEEE Embedded Systems Letters. She has served on program committees for major conferences including DAC, ICCAD, DATE, and CODES+ISSS, and has held leadership roles including Publications Chair for IEEE/ACM ESWEEK 2007 and Co-General Chair of ESWEEK 2009. Prof. Sciuto has advised more than 10 PhD students and currently mentors 4 PhD candidates at Politecnico di Milano. She teaches courses in Computer Architecture, Operating Systems, and High Performance Processors and Systems. She has published 5 teaching books in Italian across multiple editions and maintains active research collaborations through European and national research projects she coordinates.

Hedde H. W. J. Bosmanمشاهده پروفایل

پژوهشگر

• Anomaly Detection
• Wireless Sensor Networks
• Machine Learning
• +۵ مورد دیگر

Hedde H. W. J. Bosman is an active researcher in the fields of Anomaly Detection , Wireless Sensor Networks , and Embedded Systems . His work focuses on developing lightweight, efficient machine learning techniques for real-time anomaly detection in distributed environments. He has collaborated with researchers like Antonio Liotta and Giovanni Iacca across multiple publications. His research includes Designing fixed-point implementations of online learning algorithms (e.g., OS-ELM) for sensor networks Advancing ensemble-based anomaly detection methods in ad hoc and wireless networks Developing experimental facilities like WaterLab for cyber-physical systems in water distribution networks Optimizing optical wireless networks with beam-steering and PAM modulation Although no explicit university affiliation, awards, or student advising details are mentioned in the provided text, his contributions to sensor network anomaly detection and distributed learning are highly cited and interdisciplinary, spanning Computer Science and Engineering .

• Heat Transfer
• Mass Transfer
• Wood Technology
• +۲ مورد دیگر

Lecturer Martin Heinrich Spitzner is affiliated with the Faculty of Engineering at the Free University of Bozen-Bolzano, Italy, based at NOI Techpark (Bruno Buozzi Street 1, 39100 Bolzano). He teaches core courses in the Vocational Bachelor's program in Wood Technology, including Heat and Mass Transfer Laboratory (42618) and Heat and Mass Transfer (42617, ING-IND/10 classification). His research focuses on critical thermal processes within wood engineering: Heat Transfer : Analysis of thermal energy exchange in wood drying and processing systems Mass Transfer : Moisture movement dynamics and diffusion phenomena in wood materials Wood Technology : Application of engineering principles to wood as a sustainable industrial material Thermal Engineering : System design for temperature-controlled wood treatment processes Industrial Engineering : Optimization of thermal operations in wood manufacturing Spitzner operates within the Heat and Mass Transfer Laboratory, which provides essential experimental training for Wood Technology students. This facility enables hands-on investigation of thermal-fluid phenomena directly applicable to timber processing industries. No scientific awards or honors were documented in the source material. Information regarding student supervision, research grants, and collaborative projects remains unspecified in available records.

Fabrizio Fornariمشاهده پروفایل

استادیار

• Internet of Things (IoT)
• Digital Twins
• Business Process Management (BPMN)
• +۶ مورد دیگر

Fabrizio Fornari is an Assistant Professor in Computer Science at the University of Camerino (Italy), focusing on cutting-edge technologies like Internet of Things (IoT), Digital Twins, and Business Process Management (BPMN). His work bridges theoretical modeling with practical implementations, emphasizing formal verification and modern software development practices. Research Pillars: IoT programming paradigms (Fluidware, FloWare), Digital Twin applications for business processes, and formal BPMN verification. Technical Contributions: Development of model-driven frameworks (X-IoT, FloBP), 3D simulation tools for IoT platforms, and BPMN analysis utilities (BPMN Inspector, BProVe). Domain Applications: Earthquake response systems (SAFE), intelligent transportation data flows, and educational IoT test environments. Methodological Focus: Community detection algorithms for routine extraction, CI/CD optimization for databases, and systematic literature reviews on IoT-aware BPMN modeling. Collaborative Efforts: Active involvement in MIDas4CS workshops and repository platforms for process model sharing (RePROSitory).

• Optical networks
• Optical switching
• Silicon photonics
• +۵ مورد دیگر

Roberto Proietti is an Associate Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino. He is a member of the PhotoNext Interdepartmental Center for Applied Photonics and coordinates the Laurea degree program in Electronic and Communications Engineering. His research focuses on optical networks , optical switching , silicon photonics , and quantum networking , with applications in machine learning-driven environmental sensing and smart infrastructure . He has led projects like Performance Tradeoff Studies of Copropagating QKD and Classical Signals in WDM Optical Networks (Scientific Director, 2023-2024) and contributes to SDG Goals 9 (Industry & Innovation) and 11 (Sustainable Cities). He advises PhD students Andrea Rosso and Hasan Awad. His teaching includes Quantum Communications and Networks , Optical Fiber Communications , and Open Optical Networks across multiple degree programs, including Electrical, Communications, and Quantum Engineering. Email: roberto.proietti@polito.it Phone: +39 0110904126 Projects: Quantum Wrapper Networking, Machine Learning for Earthquake Detection

• Electrical Engineering
• Electromagnetic Compatibility
• Machine Learning Applications in IC Modeling
• +۳ مورد دیگر

Tommaso Bradde is a Fixed-term Researcher (Law 240/10 art.24-a) in the Department of Electronics and Telecommunications (DET) at Politecnico di Torino. His academic affiliation includes membership in the College of Electronic, Telecommunications and Physics Engineering. Dr. Bradde teaches courses across multiple degree programs, including Electromagnetism and Circuit Theory (2025/26, Computer Engineering), Electrical Engineering (2023/24, Electronic Engineering), and Convex Optimization and Engineering Applications (2021/22–2019/20, Mechatronic Engineering). Research Interests Dr. Bradde's work focuses on Electromagnetic Compatibility (EMC) Model Order Reduction techniques Machine Learning applications in IC modeling Convex Optimization for engineering systems Data-driven modeling of electrical components Stability-preserving numerical algorithms Recent Publications His research output spans 2025 and 2024, covering bias-dependent powder core permeability, modified AAA algorithms for stable reduced-order models, and machine learning-based modeling of IC buffers and switched systems. These works intersect Electrical Engineering, Machine Learning, and Scientific Computing. Academic Activities He contributes to doctoral-level instruction through the Introduction to Model Order Reduction course (2024/25, Electrical/Electronics/Communications Engineering) and holds teaching responsibilities in Master's and undergraduate programs.

• Additive Manufacturing
• Mechanical Design
• Smart Structures
• +۱۲ مورد دیگر

Giorgio De Pasquale is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of Politecnico di Torino, where he heads the Smart Structures and Systems (S3) Laboratory. He serves on the Interdepartmental Center J-Tech@PoliTO and holds a national habilitation for Full Professorship (2018). His research spans additive manufacturing, smart structures, energy harvesting, and wearable systems. Additive Manufacturing: Design for AM, multi-material joints, lattice structures Smart Systems: Native sensors in metals, structural monitoring Human-Machine Interface: Wearable bio-mechanical sensors, GoldFinger glove MEMS: Dynamic response, fatigue modeling Recent projects include MIMOSA (multimaterial aircraft components) and STARDUST (wearable rehabilitation devices). He has received awards from ASME, MESAP, and Accademia del Premio Sapio. Teaching roles include PhD courses on lattice structure modeling and MSc/BSc lectures on structural mechanics. Over 60 students have been supervised in his lab.