جستجوی استاد راهنمای دانشگاهی

• Theoretical Physics
• Complex Systems
• Mathematical Physics
• +۳ مورد دیگر

Andrea AUCONI is a Researcher in the Department of Molecular Sciences and Nanosystems (DSMN) at Ca' Foscari University of Venice, based at the Scientific Campus, via Torino. His academic position falls under the Scientific Disciplinary Sector PHYS-02/A: Theoretical Physics of Fundamental Interactions, Models, Mathematical Methods, and Applications. His research spans interdisciplinary domains including: Theoretical Physics Complex Systems Mathematical Physics Statistical Mechanics Network Theory Stochastic Processes Recent publications (2022-2024) demonstrate applications across social phenomena (election dynamics), financial systems (network uncertainty), biological processes (Bayesian chemotaxis), and fundamental information theory. This work consistently employs stochastic modeling and network analysis frameworks, published in high-impact journals like Scientific Reports and Europhysics Letters. For academic year 2024/2025, he teaches: Institutions of Mathematics with Exercises - 1 (9 credits) for Science and Technology for Cultural Heritage (Degree CT60) Institutions of Mathematics with Exercises - 1 (9 credits) for Chemistry and Sustainable Technologies (Degree CT7) No scientific awards or fellowships are documented in the available materials. His departmental affiliation with DSMN contextualizes his theoretical physics work within molecular and nanoscale science applications.

• Green Chemistry
• Catalysis
• Sustainable Organic Synthesis
• +۳ مورد دیگر

Davide Rigo is a Part-Time Researcher at the Department of Molecular Sciences and Nanosystems within Ca' Foscari University of Venice . His work focuses on sustainable chemical processes and biorefinery technologies. Research Interests: Davide specializes in Green organic synthesis Catalysis for renewable feedstocks Lignin valorization Continuous flow methodologies Biorefinery optimization Carbon-efficient transformations Publications Trends (2025–2023): His recent work explores lignin-carbohydrate complexes, machine learning integration in biorefineries, and supercritical water treatments for lignin isolation. Key themes include adsorption mechanisms , reactive extraction , and structure-property correlations in biomass-derived materials. Contact: Email: davide.rigo@unive.it Student Email: 847228@stud.unive.it

• Finance
• Banking
• Risk Management
• +۶ مورد دیگر

Claudio Cacciamani serves as a Professor at the Department of Economic and Business Sciences, University of Parma, teaching core finance and risk management courses for both undergraduate ( Economics and Management ) and graduate ( Finance and Risk Management , Business Administration ) programs from academic year 2014/2015 through 2025/2026. His current appointments include Business Planning (2025/2026), Corporate Banking and Finance (2015/2016-2025/2026), and specialized courses in insurance, real estate finance, and investment banking across multiple programs. Research interests span regulatory finance, banking operations, and technological disruption in financial services, with primary focus on anti-money laundering compliance, AI integration in real estate, environmental governance in banking, and public concession valuation. His work bridges theoretical finance with practical regulatory frameworks, particularly examining Italian legislative updates like the 2023 Public Contracts Code. Recent publications (2023-2025) demonstrate a clear trend toward emerging regulatory challenges – analyzing high-risk jurisdictions for money laundering (2025), e-waste governance in banking (2024), and public contract valuation – alongside technology adoption in real estate finance (2024). The interdisciplinary approach connects finance with environmental policy and AI innovation. Scientific Awards No awards or fellowships were documented in the source material Advising and Grants While teaching appointments include student supervision activities, the text specifies no advisees, PhD students, or research grants. His role as teacher tutor for Finance and Risk Management students (2018/2019-2023/2024) confirms mentorship responsibilities without named advisees. Labs and Teams Cacciamani leads the Insurance Intermediation Lab – teaching both standard and advanced versions since 2014/2015 – which serves as his primary research/teaching team under the Finance and Risk Management program. The lab focuses on insurance sector operations and regulatory compliance training.

• Bayesian inference
• Machine learning
• Nonparametric methods
• +۵ مورد دیگر

Francesca Panero is an Assistant Professor (RTT) in Statistics at the Department of Methods and Models for Economy, Territory, and Finance (MEMOTEF) at Sapienza University of Rome. She also serves as a Visiting Fellow at the Department of Statistics of the London School of Economics and Political Science, where she was previously an Assistant Professor until May 2024. Additionally, she maintains an affiliation with the Grantham Research Institute on Climate Change and the Environment at LSE. Dr. Panero earned her PhD in Statistics from the University of Oxford in 2022, following undergraduate and master's studies at the Department of Mathematics of the University of Turin and Collegio Carlo Alberto. Her academic journey reflects a strong foundation in mathematical and statistical theory applied to complex real-world problems. Her research centers on Bayesian statistical methodologies with applications across multiple domains. She specializes in complex networks analysis using Bayesian nonparametric approaches, disclosure risk assessment for privacy preservation, spatio-temporal Gaussian process modeling for food insecurity prediction, and fair machine learning techniques. Her work demonstrates a consistent thread of developing rigorous statistical methods with practical societal applications, particularly in network science, privacy protection, and algorithmic fairness. Dr. Panero's publications reveal a strong trajectory in high-impact statistical research, with recent work focusing on sparse network modeling, fairness constraints in machine learning, and privacy-preserving statistical techniques. Her methodological contributions bridge theoretical statistics with applications in social sciences, public policy, and computational challenges. 2025 Visiting Lecturer at Faculty of Informatics, University of the Italian Switzerland (USI) Elected as j-ISBA Chair Elect for 2025-2026 Recipient of IMS junior research travel grant for ICSDS 2024 Awarded LSE Research and Impact Support Fund (RISF) grant for food insecurity research As an educator, Dr. Panero teaches Probability and Stochastic Processes at Sapienza University and has previously instructed Deep Learning and Artificial Intelligence courses at LSE. She actively mentors students and encourages PhD candidates interested in her research areas to contact her. She is also a core member of GENIAL, an LSE focus group examining how students utilize generative AI tools for learning. Beyond her technical work, she has been engaged in equality, diversity, and inclusion initiatives since 2020 and maintains an active academic blog discussing data visualization, research projects, and academic life.

• Weed Science
• Precision Agriculture
• Soil Salinity
• +۴ مورد دیگر

Roberta Masin serves as an Associate Professor within the Department of Agri-Food, Environmental and Animal Sciences (DAFNAE) at the University of Padua, Italy, specializing in AGR/02 (Agronomy and Field Crop Production). Based at the Agripolis campus in Legnaro, Padova, she conducts research at the intersection of agricultural systems and environmental sustainability, with significant contributions to Mediterranean agricultural challenges. Her research program focuses on weed ecology under climate stressors, particularly soil salinization and drought impacts on coastal agriculture. She pioneers precision agriculture techniques using UAVs and remote sensing for weed mapping, seed germination modeling, and site-specific management. Key innovations include nature-based solutions for salinity mitigation, herbicide reduction strategies, and assessment of invasive species like Ambrosia artemisiifolia across European ecosystems. Her work integrates field experiments with advanced data analytics to develop sustainable crop protection frameworks. Analysis of her 2023-2025 publications reveals a dominant research trajectory in climate-resilient agriculture, with 60% of recent work addressing seawater intrusion impacts and weed adaptability in coastal zones. She demonstrates strong European collaboration networks, particularly with Croatian institutions, focusing on translating hydrothermal emergence models into practical precision farming tools. Her publications consistently emphasize actionable strategies for reducing chemical inputs while maintaining productivity in saline-stressed environments.

• Operations Research
• Stochastic Programming
• Energy Systems
• +۵ مورد دیگر

Patrizia Beraldi is an Associate Professor of Operations Research at the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria. She has been with the university since 2001, holding roles from Research Fellow to her current position. With over 80 publications, her work focuses on stochastic programming, probabilistic constraints, and their applications in energy systems, healthcare, finance, and logistics. Education: PhD in System Engineering and Computer Science (2000), University of Calabria Degree in Management Engineering (cum laude, 1995), University of Calabria Her research spans solution methods for network flow problems, stochastic programming with recourse, and probabilistic constraint modeling in diverse fields like energy procurement, drone routing, and financial optimization. Recent publications emphasize stochastic bilevel models for energy tariffs and ML-enhanced optimization frameworks. Scientific Awards: Best paper award, 2015 IMA Journal of Management Mathematics Best presentation award, ICEER Conference 2017 Best poster award, ICORES 2018 She supervises numerous master's and PhD students and leads the Financial Engineering and Risk Management Laboratory at DIMEG. Her editorial roles include Associate Editor for TOP , Algorithms , and IMA Journal of Management Mathematics .

• Microwave Engineering
• Semiconductor Device Modeling
• Nonlinear Circuit Analysis
• +۳ مورد دیگر

Giorgio Vannini is a Full Professor of Electronics at the Department of Engineering, University of Ferrara, where he has been since 2005. His academic career spans over three decades, with prior roles as a Research Fellow and Associate Professor at the University of Bologna. He has held leadership positions including Head of the Engineering Department (2007-2015) and membership in the Academic Senate (2012-2015). Education: Laurea in Electronic Engineering from the University of Bologna (1987), Ph.D. in Electronic and Computer Science Engineering from the University of Bologna (1992). Research: Focused on nonlinear semiconductor device modeling (e.g., GaN HEMTs, III-V FETs), advanced microwave circuit design, and electromagnetic simulation techniques. Key contributions include the Nonlinear Integral Model (NIM) and dynamic I/V characterization systems. Awards: Best Paper Awards at the European Microwave Conference (1995), GAAS98 (1998), and GAAS2001 (2001). Projects: Led over 20 research contracts with industry leaders like Leonardo, Sumitomo, and Huawei, and participated in EU Framework Program initiatives including TARGET and Eurostars. Spin-off: Co-founded MEC srl, an academic spin-off for microwave engineering solutions.

Sandro Luigi Fioreمشاهده پروفایل

دانشیار

• Data Science
• Big Data
• Scientific Data Management
• +۱۳ مورد دیگر

Sandro Luigi Fiore is an Associate Professor in the Department of Information Engineering and Computer Science at the University of Trento, Italy. He has held academic positions at the University of Salento and visiting scientist roles at the University of Chicago and Lawrence Livermore National Laboratory. His research integrates data science, big data, and high-performance computing with climate informatics and open science. Education: Ph.D. in Innovative Materials and Technologies, University of Lecce, 2004 Master of Science in Computer Engineering (with honors), University of Lecce, 2001 His research interests span Data Science, Big Data, Scientific Data Management, Artificial Intelligence, and Distributed/Cloud/Parallel Computing , with a strong application focus on Climate Change and Open Science . He develops FAIR-enabled data analytics solutions and contributes to large-scale data infrastructures such as ESGF, EOSC-hub, and INDIGO-DataCloud. His work emphasizes provenance, reproducibility, and interoperability in scientific computing. The articles reflect a consistent trajectory in large-scale scientific data systems , evolving from Grid-DBMS and parallel computing to modern applications in climate informatics, AI, and FAIR data. Key themes include distributed data management, middleware, exascale software, and reproducible workflows in HPC environments. Scientific Awards: Earth System Grid Federation Team Award (2017) UNIDATA Community Equipment Award (2011) Best Student Paper Award, ITCC2003 Fiore has advised on and led multiple national and European projects including EOSC-hub, IS-ENES, and BARRACUDA (RDA-Europe3). He actively supports the adoption of FAIR data principles in scientific repositories, advising on data policies, architecture, provenance, and interoperability. He is a member of the FAIR Champions group and serves on the Advisory Board of FAIRsFAIR. He is involved in key research teams and projects such as the Earth System Grid Federation (ESGF) , Globus Lab (University of Chicago) , and PCMDI/LLNL . His work contributes to climate model intercomparison (CMIP5/6) and the development of next-generation data infrastructure for open science.

• Analog Integrated Circuit Design
• Mixed-Signal IC Design
• Analog-to-Digital Converters (ADCs)
• +۱۱ مورد دیگر

Andrea Boni is an Associate Professor in the Department of Information Engineering at the Faculty of Engineering, University of Parma, where he has been a faculty member since 1999. He leads the Analog IC Design research group and teaches core electronics courses including Analog Design, Amplifier Design, and Electronics 2 at both undergraduate and graduate levels. His research focuses on analog and mixed-signal integrated circuits, with emphasis on high-speed and ultra-low-power designs in CMOS and BiCMOS technologies. Key areas include Analog-to-Digital Converters (ADCs), low-voltage reference circuits, RF oscillators, frequency synthesizers, and their applications in wireless sensors, UWB radars, and RFID systems. The recent publications highlight a strong trend toward low-power, wireless, and intelligent sensing systems, particularly in structural health monitoring, precision agriculture, and food authenticity. These works reflect a convergence of analog circuit innovation with embedded intelligence and IoT applications. Dr. Boni serves on the technical committee of the Custom Integrated Circuits Conference and is a reviewer for IEEE Journal of Solid-State Circuits and IEEE Transactions on Circuits and Systems – II. He advises no listed students in the provided text and has not been awarded any scientific prizes mentioned. His group receives both public and private funding. He leads the Analog IC Design group, which has been active for over a decade in cutting-edge analog circuit research.

Vadim Zaytsevمشاهده پروفایل

دانشیار

• Software Evolution
• Software Analysis
• Modelling and Restructuring
• +۹ مورد دیگر

Vadim Zaytsev is an Associate Professor of Software Evolution at the University of Twente, specializing in software analysis, modelling, and restructuring since 2004. He has previously worked as a Chief Science Officer, developing compilers and analyzing migration projects, and his past affiliations include institutions in the Netherlands, Belgium, Germany, and Russia. His work bridges academia and industry, focusing on industrially relevant research, teaching, and prototype software development. Research Interests: Software evolution and structure elicitation Domain-specific languages (DSL) and cyber-physical systems (CPS) Automated program repair using large language models Modernity signatures in programming languages (PHP, Python, C#, Rust) Educational software assessment (Apollo++ tool, BabyCobol) Grammarware and code transformation (CFG to VPG converter) Recent Article Trends: His 2025 work explores large language models for automated program repair (SAC, GPCE), while earlier studies (2024) focus on DSL-based CPS modelling, learning-by-doing assessment pipelines, and modernity signatures in programming languages. His research often involves collaboration with students and interdisciplinary groups like HMI at UTwente. Teaching and Practice: He supervises students in research projects, teaches the MSc course Software Evolution , and contributes to curriculum re-accreditation efforts. His practice includes open-source tools (GPL-licensed CFG to VPG converter) and conference leadership roles (Program Co-Chair for SLE 2025 and ICT.OPEN 2025).

Gustavo Pintoمشاهده پروفایل

استادیار

• Machine Learning
• Software Engineering
• Open Source Software
• +۳ مورد دیگر

Gustavo Pinto is an Assistant Professor at the Faculty of Computing, Federal University of Pará (Brazil), and a Research Engineer at Zup Innovation. His research focuses on applying machine learning techniques to improve software engineering tasks, with prior work on refactoring , human aspects of software development , and open source software . He is a well-published author with over 100 research papers. His contributions include studies on Object-Relational Mapping (ORM) frameworks , scientific software development , and collaborations with industry. He actively writes for his ML4SE newsletter and maintains a CV of failures documenting rejected papers, grant proposals, and job applications. Scientific awards: CNPq Productivity Fellowship (2017, 2018) His work addresses challenges in Brazilian academia, including funding limitations , student recruitment , and research-industry collaboration . He self-published books on research habits and open source licensing .

• Geomatics
• Cultural Heritage Documentation
• 3D Modeling
• +۱۵ مورد دیگر

Antonia Teresa Spano' is a Full Professor at the Department of Architecture and Design (DAD), Politecnico di Torino, where she leads research and teaching in geomatics for architectural and landscape heritage. She is a member of the Future Urban Legacy Lab (FULL) and serves as Deputy Coordinator of the PhD College in Architectural Heritage. Her work spans interdisciplinary collaborations with institutions such as the Archaeological Park of Pompeii, the Royal Museums of Turin, the University of Salento, and the Bruno Kessler Foundation. She has led numerous national and international research projects, including those funded by PRIN, EU, and commercial contracts. Her research focuses on the application of advanced geomatic technologies—including 3D modeling, UAV photogrammetry, LiDAR, SLAM-based mobile mapping, and GIS—to the documentation, analysis, and conservation of cultural heritage. She integrates computer vision, remote sensing, and digital reconstruction techniques to support sustainable urban development and heritage preservation. Her work is closely aligned with UN Sustainable Development Goals (SDGs) 4 (Quality Education), 5 (Gender Equality), and 11 (Sustainable Cities and Communities). The most recent publications reflect a strong trend in digital heritage, with emphasis on AI-driven decay detection, multispectral UAV data for landscape analysis, semantic classification of LiDAR data, and integrated 3D survey methods for heritage structures. Her work frequently involves collaborations with PhD students and international research teams, focusing on both built and archaeological heritage. Best poster, GEORES 2019 (ISPRS) Best poster, GISTAM 2016 CNR Youth Award, 2005 She is actively involved in advising PhD students and managing research grants, including scholarships funded by IREN Energia SPA and the Bruno Kessler Foundation. She serves as Scientific Director for multiple collaborative agreements with public and private institutions. She also contributes to major research projects such as the diagnosis of Pier Luigi Nervi’s exhibition halls and urban regeneration initiatives in Elva and Turin. She leads the LabG4CH – Geomatics Laboratory for Cultural Heritage – and participates in editorial boards of journals like Sensors , Techne , and Virtual Archaeology Review .

Angelika Peerمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Human-Robot Interaction
• +۱۵ مورد دیگر

Angelika Peer is a Full Professor in the Faculty of Engineering at the Free University of Bozen-Bolzano, Italy, a position she has held since November 2017. Previously, she served as a Full Professor at the Bristol Robotics Laboratory, University of the West of England, UK (2014–2017), and as a senior researcher and lecturer at the Technical University of Munich, Germany, where she was also a TUM-IAS Junior Fellow. Her academic base is firmly within engineering, particularly in intelligent and human-centered systems. Diploma in Electrical Engineering and Information Technology, Technical University of Munich, 2004 Doctor of Engineering, Technical University of Munich, 2008 Her research interests are centered on intelligent systems that bridge humans and machines. Key areas include robotics, control systems, human-robot interaction (HRI), emotion recognition through physiological signals, shared control, and intelligent manufacturing. She investigates how dynamic models and machine learning can improve safety, adaptability, and efficiency in human-machine collaboration. Her work spans both theoretical control design and practical applications in Industry 5.0, sustainable production, and assistive technologies. Her recent publications (2023–2025) reflect a strong trend toward data-driven and model-based intelligent systems. Topics include energy-based safety control in HRI, neural-network-based trajectory adaptation in powder compaction, emotion intensity estimation using NARX models and appraisal theory, and task prediction in digitalized shop floors using support vector regression. These works demonstrate expertise in integrating dynamic modeling, machine learning, and real-time control with applications in manufacturing and human-centered computing. Angelika Peer has advised PhD students including Ehtisham Ul Hasan and Isabel Francisca Sota Machado Barradas. She is involved in research initiatives such as the Human-centered Intelligent Systems (HCIS) macro area at her university, promoting interdisciplinary work at the intersection of computer science, engineering, and human factors. Her research is supported by collaborations and publications in high-impact journals and conferences, with a strong emphasis on open access and peer-reviewed dissemination.

Ognjen Savkovicمشاهده پروفایل

استادیار

• Knowledge Graphs
• Semantic Web
• Database Management
• +۷ مورد دیگر

Ognjen Savkovic is an Assistant Professor (RTD-a) at the KRDB Research Center for Knowledge and Data, Faculty of Engineering, Free University of Bozen-Bolzano, Italy. He is based at the NOI Techpark in Bolzano and is actively involved in research on Knowledge Graphs, Semantic Web, and data quality. His work bridges formal logic and machine learning to enhance data management systems. His research interests include Knowledge Graphs, Semantic Web, Database Management, Data Quality, Artificial Intelligence, and Logic Reasoning. He focuses on schema validation (e.g., SHACL), property graph schemas (PG-Schema), and integrating machine learning with declarative languages like Datalog for industrial applications such as welding quality monitoring and cloud resource configuration. His recent publications show a strong trend in semantic technologies for industrial applications, particularly in collaboration with Bosch and Siemens. His work spans theoretical foundations of schema languages and practical implementations in smart manufacturing and cloud systems. He has published in top venues including WWW, ISWC, CIKM, and SIGMOD. Scientific Awards: No specific awards mentioned. Ognjen Savkovic advises students and collaborates on research projects, though specific students are not listed. His research involves significant grant-funded collaborations, particularly in EU-level industrial AI and semantic technology initiatives. He has contributed to projects involving Siemens and Bosch, focusing on semantic diagnostics and scalable data science solutions. He is a key member of the KRDB Research Center, contributing to a vibrant research team working on knowledge representation, reasoning, and industrial applications of semantic technologies.

Michele BUGLIESIمشاهده پروفایل

استاد

• Computer Security
• Web Security
• Formal Methods
• +۴ مورد دیگر

Michele Bugliesi is a Full Professor of Computer Science at Ca' Foscari University of Venice, where he is affiliated with the Department of Environmental Sciences, Computer Science and Statistics. His research spans theoretical computer science with a strong emphasis on practical security applications in web technologies and distributed systems. Professor Bugliesi's primary research interests focus on computer security, particularly web security, formal methods for security analysis, programming languages, and blockchain technologies. His work combines theoretical foundations with practical implementations, addressing critical security challenges in modern computing environments. He has made significant contributions to understanding and preventing session hijacking attacks, developing content security policies, and analyzing smart contract security. Analysis of Professor Bugliesi's recent publications (2016-2025) reveals a clear evolution in his research focus. Initially centered on web security and formal verification methods, his work has expanded to include blockchain technologies, smart contracts, and more recently, the security implications of large language models. His publications consistently appear in top-tier computer security conferences and journals, demonstrating the high quality and impact of his research. Professor Bugliesi maintains an active research group and collaborates extensively with colleagues including Stefano Calzavara, Alvise Rabitti, and Sabina Rossi. His research has practical implications for improving the security of web applications, blockchain systems, and emerging AI technologies.