جستجوی استاد راهنمای دانشگاهی

Fabrizia Mealli is a Full-time Professor in the Department of Economics at the European University Institute (EUI), serving as Director of Graduate Studies. She holds a concurrent leave position as Professor of Statistics at the University of Florence's Department of Statistics, Informatics, Applications (DiSIA). Her research focuses on causal inference, econometric methods, Bayesian analysis, and missing data, with applications in social and biomedical sciences. Education & Academic Roles: Professor of Statistics, University of Florence (on leave) Full-time Professor, EUI Department of Economics (since 2023) Visiting positions at Harvard University (2001, 2015, 2017) Research Interests: Her work centers on causal inference methodologies, including principal stratification, interference, and bipartite settings. She develops statistical techniques for observational and experimental studies, Bayesian approaches, and applications in policy evaluation and network effects. Awards & Editorial Roles: Elected Fellow of the American Statistical Association (ASA) President-elect of the Society for Causal Inference (SCI) Associate Editor for Biometrika , Journal of the American Statistical Association , and Annals of Applied Statistics Grants & Collaborations: Her research has been applied to policy evaluation (e.g., hospital readmission programs, immigration policies) and public health interventions (e.g., air pollution effects). Labs & Teams: Leads initiatives on causal inference under interference and network analysis, collaborating with global institutions and researchers in statistics and econometrics.

• Causal Inference
• Econometrics
• Statistical Methods
• +۳ مورد دیگر

Fabiola Bertolotti is a Full Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. Her research focuses on organizational behavior, work design in digital platforms, gig economy dynamics, and multiple team membership (MTM). She teaches courses such as 'Organizational Systems and Behavior' for Management Engineering students, emphasizing strategic design, group dynamics, and leadership theories. Her work integrates empirical studies with interdisciplinary frameworks to address contemporary workplace challenges like algorithmic work environments and hybrid collaboration. Key research interests include the impact of technology on work-life balance, algorithmic governance in online labor markets, and identity formation in inter-organizational partnerships. She has published extensively on topics like crowdwork platforms, MTM's influence on career trajectories, and boundary spanning in innovation projects. Her studies often employ mixed-methods approaches, combining field observations with surveys and interviews. Bertolotti's contributions bridge organizational theory, management practices, and technological advancements, offering insights into future of work dynamics. Her recent publications explore algorithmic embeddedness in gig work, dynamic stereotyping in academic-practitioner exchanges, and the trade-offs between creativity and work-life balance in collaborative spaces. While no specific awards are listed, her prolific output reflects significant scholarly impact. Teaching responsibilities include guiding students through foundational concepts in organizational theory and strategic design, with a focus on real-world case analysis and participatory learning.

• Organizational Behavior
• Work Design
• Gig Economy
• +۳ مورد دیگر

Ivano Malavolta is an Associate Professor in Software Engineering at the University of Urbino , focusing on energy-efficient software, software architecture, and model-driven engineering (MDE). His research bridges robotics, mobile systems, and sustainability, emphasizing empirical methods and industrial applicability. Key Research Areas: Energy-efficient software, microservices, robotics systems, collaborative modeling, mobile application performance. Affiliations: Department of Software Engineering, University of Urbino. His recent publications highlight empirical studies on energy consumption patterns in robotics, mobile apps, and AI systems. He has contributed to frameworks like the Green Software Measurement Model (GSMM) and tools for architectural technical debt analysis. Notably, he has co-authored 15+ peer-reviewed articles in venues such as Journal of Systems and Software , Information and Software Technology , and ACM/IEEE conferences . His work often involves cross-platform comparisons (e.g., Electron vs. Web, Pandas vs. Polars) and systematic mappings of software engineering practices.

• Software Engineering
• Energy-Efficient Systems
• Software Architecture
• +۴ مورد دیگر

Andrea Ajmar is an Associate Professor at the Politecnico di Torino, affiliated with the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST). He serves as the contact person for the University Language Centre (CLA) and leads research in geomatics, spatial data science, and emergency management. His work is aligned with UN SDG 11: Sustainable Cities and Communities, and he contributes to major EU-funded projects such as LEXIS (H2020). Scientific Disciplinary Sector: CEAR-04/A - Geomatics (Area 0008 - Civil Engineering and Architecture) Research Laboratory: SDG11Lab (DIST) ERC Sectors: PE10_14, SH2_10, PE10_4, SH2_9 Andrea Ajmar's research focuses on applying Spatial Data Science techniques to transportation, urban planning, and disaster response. His work leverages GIS, remote sensing, and spatial data infrastructures to analyze urban resilience, environmental change, and emergency workflows. He has published extensively on topics including climate adaptation in cities, glacier monitoring, flood modeling, and post-disaster assessment tools. The recent publications of Andrea Ajmar demonstrate a strong trend in integrating high-performance computing, AI, and big data with geospatial technologies for urban and environmental applications. His work spans climate resilience, disaster impact modeling, and satellite-based environmental monitoring, reflecting a multidisciplinary approach to sustainable development. Scientific Awards and Recognitions: BEST POSTER PAPER AWARD, ISPRS (2008) Teaching and Advising: Andrea Ajmar is actively involved in teaching and mentoring. He supervises multiple PhD students in the Urban and Regional Development and Architectural and Landscape Heritage programs. He teaches advanced courses such as "Advanced Geospatial Data Management" and "Geomatics for Urban and Regional Planning." He has also earned teaching certifications including Learning to Teach (L2T), Mentoring Polito Project (M2P), and Learning to Teach with Innovative Teaching Project (L2T_ITP). Research Projects: He served as the Scientific Manager for the EU H2020 LEXIS project, focusing on HPC and Big Data enabled large-scale test-beds and applications in disaster management and urban planning. Professional Service: Ajmar has held leadership roles in international organizations, including Vice-President of the International Working Group on Satellite Emergency Mapping (2013–2014), Secretary of ISPRS ICWG IV/VIII (2008–2012), and member of the ASITA Scientific Committee (2008–2012). He also served as Guest Editor for the journal Remote Sensing (2019–2021) and participated in conference program committees such as GISTAM 2019 and 2020.

• Geomatics
• Spatial Data Science
• Geographic Information Systems (GIS)
• +۱۰ مورد دیگر

Sabrina Corpino is a Full Professor in the Department of Mechanical and Aerospace Engineering at the Polytechnic University of Turin. She serves as a Member of the PhotoNext Interdepartmental Center for Applied Photonics and holds scientific advisory roles with the Partnership Agreement with ALTEC, the International Astronautical Federation (IAF), and NEREUS. Research Interests: Aerospace design, systems engineering, CubeSat missions, and space propulsion. Key Projects: Scientific Manager for PNRR NODES Spoke 1, SINAV, Hera Mission Phase B/C/D/E1, and RAMSES CubeSat-1 Development. Teaching: Lecturer for 'Aerospace Systems' in multiple academic years and collaborator in interdisciplinary courses. Students: Supervises PhD candidates including Nicola Di Gruttola Giardino, Serena Campioli, and Antonio D'Ortona. Awards: Recipient of the 2018 ICAS Casimiro Montenegro Filho Award for Innovation in Aeronautics.

• Aerospace Design
• Aerospace Systems
• Nanosatellites
• +۶ مورد دیگر

Antonio Pietrabissa is an Associate Professor at the Department of Computer, Control, and Management Engineering “Antonio Ruberti” (DIAG) of the University of Rome Sapienza, where he earned his degree in Electronics Engineering (2000) and PhD in Systems Engineering (2004). He has been teaching Automatic Control and Process Automation since 2010 and holds the National Scientific Qualification as Full Professor in Systems and Control Engineering (09/G1). Research interests include networked systems, robust control, Markov decision processes, and deep reinforcement learning. His work spans telecommunications, biomedical applications, and space systems, with a focus on federated learning and decentralized control. He has authored ~70 journal papers (Scopus h-index 22) and co-invented a patent for model predictive control in motor disability assistance. Awards include the 2021 Cybersecurity Award and ETRI Journal Best Paper. Current projects are NANCY (6G networks) and CADUCEO (AI-driven medical diagnostics). He is also CEO of Sapienza startup Automation Intelligence and Control (AICO), commercializing AI solutions for space, telecom, and biomedical sectors.

• Networked Systems
• Time-delay Systems
• Non-cooperative Control
• +۴ مورد دیگر

Nikolas Sacchi is a Research Fellow at the Department of Industrial and Information Engineering, University of Pavia. His research focuses on advanced control systems, particularly the integration of neural networks with sliding mode control methodologies for nonlinear systems. He specializes in actuator fault diagnosis, adaptive control strategies under unknown dynamics, and robust observer design. Key research areas include control engineering, robotics, and artificial intelligence applications in automation. His work addresses challenges in system reliability, dynamic stabilization, and intelligent control architectures. Recent publications emphasize neural network-based solutions for integral sliding mode control, fault diagnosis mechanisms, and deep learning approaches for systems with uncertain dynamics. His contributions bridge theoretical control frameworks with practical engineering implementations.

• Control Systems Engineering
• Neural Networks
• Robotics
• +۳ مورد دیگر

Prof. Gabriella D'Agostino is a Full Professor of Cultural Anthropology at the Department of Cultures and Society, University of Palermo. She serves as Delegate for Relations with Foreign Communities, emphasizing her role in fostering international academic ties. Her primary affiliation is with the Department of Cultures and Society, specializing in research areas that bridge cultural anthropology, migration studies, and Mediterranean sociocultural dynamics. Her research focuses on cultural heritage preservation, ethnographic methods, and the intersection of power structures with cultural expression. Key themes include colonial memory, migrant religious practices in Sicily, and the role of traditional heritage in contemporary societies. She also explores methodological critiques in participant observation and the evolution of anthropological discourse. Publications from 2025 to 2004 reflect her sustained engagement with postcolonial studies, ethnographic museography, and the anthropology of religion. Her work frequently addresses Mediterranean contexts, particularly Sicily and Eritrea, highlighting transnational cultural flows. While no formal awards are listed, her extensive publications and academic roles indicate significant contributions to her field. Grants and advising details are not explicitly stated in the provided texts, but her role as a professor suggests active mentorship. She is involved in organizing academic events and managing departmental responsibilities, including student examinations and administrative duties. Her research extends to contemporary ethnographic practices, cultural policy analysis, and the interplay between art and tradition. Collaborations with institutions like the ATeN Center and involvement in PNRR (National Recovery and Resilience Plan) projects likely underscore her engagement with applied anthropology and policy-oriented research.

• Cultural Anthropology
• Mediterranean Societies
• Cultural Heritage
• +۵ مورد دیگر

Carlo Novara is a Full Professor at Politecnico di Torino, affiliated with the Department of Electronics and Telecommunications (DET) and the Interdepartmental Center CARS@PoliTO - Center for Automotive Research and Sustainable Mobility. He serves as a member of the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. His research interests span aerospace control systems, autonomous and assisted vehicles, biomedical engineering, design of experiments, energy system control and optimization, model predictive control, modeling and simulation, set membership estimation, statistical analysis, system identification, machine learning, complex networks and systems, prediction and estimation, and quantum optimization. His work focuses on nonlinear and LPV system identification, filtering/estimation, time series prediction, nonlinear control, predictive control, data-driven methods, set membership methods, sparse methods, and nonlinear optimization with applications in automotive, aerospace, biomedical, and energy domains. His recent publications demonstrate strong trends in nonlinear model predictive control, physics-based system identification, and space applications. Many papers focus on computational efficiency for real-time control, with increasing emphasis on quantum optimization techniques and space mission applications like the LISA mission. His work bridges theoretical control methods with practical applications in automotive, aerospace, and energy systems. Professional Recognition: Member of IEEE TC on System Identification and Adaptive Control Member of IFAC TC on Modelling, Identification and Signal Processing Founding member of IEEE-CSS TC on Medical and Healthcare Systems Professor Novara has supervised numerous PhD students including Lucrezia Lovaglio, Giovanni Marinello, Francesco Cerrito, Sabrina Savino, Cesare Donati, and Mattia Boggio. His research has been supported by significant grants including the CNMS - Spoke 2 Sustainable Mobility Center (2022-2025), PRYSTINE ECSEL project (2018-2021), and multiple commercial research contracts with ESA and other aerospace organizations. He leads research in the Automatica research group at DET, focusing on advanced control algorithms for aerospace applications, data-driven control of autonomous vehicles and biomedical systems, quantum optimization for complex system design, and modeling and optimization of networked systems.

• Aerospace control systems
• Autonomous and assisted vehicles
• Biomedical engineering
• +۸ مورد دیگر

Martina Di Rita serves as an Associate Professor in the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST) at Politecnico di Torino, with primary research focus on geospatial technologies for environmental monitoring. Her academic affiliation extends to the National Doctorate in Earth Observation at the University of Rome "La Sapienza" as an invited member of the Planning and Design College. Her research expertise spans 3D modeling, Geographic Information Systems (GIS), Geomatics, Photogrammetry, Remote Sensing, Satellite Image Processing, and UAV Photogrammetry . These interests directly support UN Sustainable Development Goals 9 (Industry Innovation), 11 (Sustainable Cities), 13 (Climate Action), and 15 (Life on Land), with particular emphasis on glacier dynamics in Alpine environments and sustainable infrastructure development. Her methodological innovations integrate multi-source geospatial data for precision environmental assessment. Recent publications (2020-2025) reveal a concentrated research trajectory in UAV-based glacier monitoring , particularly focused on Italy's Forni Glacier, alongside applications in construction site management. This work demonstrates consistent innovation in data fusion techniques combining UAV photogrammetry, GNSS tracking, satellite imagery, and BIM systems to address climate change impacts and infrastructure challenges in complex terrains. Her scientific recognition includes: AUTeC Award from the Association of University Students of Topography and Cartography, Italy (2018) As an educator, she lectures in Master's programs for Environmental and Land Management Engineering, teaching core courses in Remote Sensing and Geographic Information Systems. She serves as Course Lecturer for the Digital Skills for Sustainable Societal Transitions program and participates in doctoral education through the National Doctorate in Earth Observation. Her teaching spans both Politecnico di Torino and collaborations with University of Rome "La Sapienza". Her research activities are coordinated through SDG11Lab (DIST), which focuses on sustainable urban development solutions aligned with UN Goal 11. This laboratory serves as the operational base for her glacier monitoring projects and UAV data processing initiatives.

• 3D modeling
• Geographic information systems
• Geomatics
• +۴ مورد دیگر

Dr Ryan McMullan is a Research Fellow at Macquarie University's Australian Institute of Health Innovation (AIHI), specifically in the Centre for Health Systems and Safety Research. He joined in 2018, focusing on improving hospital staff experiences and patient safety through experimental and observational research methods. His work spans medication safety, healthcare workflow optimization, and professional accountability culture change. Education: BA (Hons) and PhD in Psychology from Western Sydney University (2008-2016). His research uses mixed methods including cross-sectional surveys, simulation studies, and qualitative interviews. Key projects include evaluating electronic health record usability in intensive care units and studying the impact of co-worker unprofessional behavior on patient safety. Research interests include distractions in clinical settings, cost-benefit analyses of healthcare interventions, and non-technical skills training for surgical teams. He has authored 29 publications and led projects like the Medication Safety Evidence Briefings (2021). Awards: Dean's Doctoral Award (2017), MQ Professional Staff Grant (2019), and a European Social Psychology Summer School Travel Award (2014). He currently chairs a committee within the Australian Institute of Health Innovation.

• Medication Safety
• Health Services Research
• Patient Safety
• +۴ مورد دیگر

Gabriele Berton is a postdoctoral researcher at Amazon, focusing on Multimodal Large Language Models and advanced computer vision applications. He holds a PhD in Computer Vision from the Polytechnic of Turin under Prof. Barbara Caputo. His research expertise includes visual geo-localization, place recognition, and scalable image retrieval systems. He previously worked at the Italian Institute of Technology (IIT) and was a visiting scholar at Carnegie Mellon University's AirLab under Prof. Sebastian Scherer. His work on EarthLoc is utilized by NASA for localizing International Space Station imagery. Education: PhD in Computer Vision, Polytechnic of Turin (2022) Master’s/Pre-PhD work at Italian Institute of Technology Research Focus: Berton’s work emphasizes robust visual localization systems, including 3D mesh-based place recognition (MeshVPR), astronaut photography indexing (EarthLoc), and iterative coregistration techniques (EarthMatch). He develops scalable algorithms for large-scale applications, balancing performance with computational efficiency. Key Achievements: First-author papers at CVPR, ICCV, ECCV (7+) First Prize in Best Student Research at EuroCon 2023 Co-developed CosPlace framework for large-scale visual localization Labs/Teams: Collaborates with AirLab at CMU and MaLGa Lab. Active contributor to the RoboTo robotics team, focusing on computer vision for robotics competitions.

• Computer Vision
• Visual Geo-localization
• Robotics
• +۳ مورد دیگر

Riccardo Felicetti is a Research Fellow at the Department of Information Engineering, Università Politecnica delle Marche, within the Faculty of Engineering. He holds a Master's Degree (cum laude) in Computer and Automation Engineering (2016) and a Ph.D. (cum laude) in Information Engineering (2021) from the same university, with a thesis on “Active fault tolerant control for overactuated unmanned vehicles.” He also serves as Senior Tutor, coordinating tutor activities in the Faculty of Engineering. His research focuses on fault detection and diagnosis, fault-tolerant control, and optimization, with applications to unmanned vehicles (e.g., drones, ROVs) and energy management systems. He has contributed to advancements in systems like actuator fault tolerance, vibration-based fault detection, and energy optimization in smart grids. Key technical areas include disturbance observer-based control, adaptive Kalman filtering, and machine learning integration for system identification. His work bridges theoretical control frameworks with practical implementations in aerospace and marine robotics.

• Fault Detection and Diagnosis
• Fault Tolerant Control
• Optimization
• +۳ مورد دیگر

Milena D'Angelo is an Associate Professor in the Department of Physics at the University of Bari (UniBA). She leads the Quantum Optical Technologies Lab, established through national competitive projects, which integrates experimental activities into the long-standing quantum research group at UniBA and INFN. Her work focuses on quantum imaging, including quantum optical lithography, ghost imaging with chaotic light, and correlation plenoptic imaging, with 5 patent applications. She has published over 55 papers, accumulating 1,700+ citations. Education: B.Sc. in Physics (UniBA, 1999); Ph.D. in Physics (University of Maryland, Baltimore County, 2004). Research Interests: Quantum imaging technologies, correlation-based imaging systems, plenoptic microscopy, and applications in quantum metrology. Her lab explores robust imaging techniques against environmental disturbances and develops high-resolution volumetric imaging methods. Recent work emphasizes GPU-based data processing, hyperspectral imaging, and turbulence-resistant systems. She has contributed to projects like the Qu3D initiative for quantum 3D imaging devices, advancing remote sensing and Earth observation applications. Her experimental innovations include light-field microscopy with correlated beams and correlation plenoptic tomography. Labs/Teams: Quantum Optical Technologies Lab (QuOTLab), collaborating on national and international projects to bridge quantum foundations with applied imaging technologies.

• Quantum Imaging
• Quantum Optics
• Photonics
• +۳ مورد دیگر

Claudia Borghetti is an Associate Professor in Educational Linguistics at the University of Bologna's Department of Modern Languages, Literatures, and Cultures. She serves as Director of the Second Cycle Degree in Italian Culture and Language for Foreigners. Her academic career includes roles as Senior Assistant Professor (2021–present) and Junior Assistant Professor (2017–2021). Borghetti holds a Ph.D. in Language Learning and Teaching from National University of Ireland, Galway (2009) and a Laurea cum laude in Arts from University of Bologna (2004). Her research focuses on intercultural language education, plurilingualism, study abroad programs, and academic writing pedagogy. Key projects include the European IEREST initiative (2012–2015), RICH-Ed (2017–2021), and collaborations on global citizenship education (GCMC Toolkit) and staff training (TICKET project). She has organized international conferences, edited academic journals, and contributed to teacher training programs. Borghetti's work emphasizes practical applications of intercultural education, including developing resources for mobile students and fostering multilingual policies in educational settings. She has published extensively on topics such as heritage language maintenance, intercultural competence assessment, and writing instruction methodologies. Her recent projects include investigations into family language policies and the impact of multilingualism on emotional well-being. She serves on editorial boards for journals like Language and Intercultural Communication and has held leadership roles in professional associations such as IALIC and DILLE. Borghetti's teaching focuses on foreign language pedagogy and intercultural methodologies at both undergraduate and graduate levels.

• Intercultural Language Education
• Plurilingualism
• Study Abroad
• +۵ مورد دیگر