جست‌وجوی استاد و پژوهشگر

• Big data analytics
• Data analysis
• Data management
• +۸ مورد دیگر

Daniele Apiletti is an Associate Professor at the Polytechnic University of Turin , affiliated with the Department of Control and Computer Engineering (DAUIN). He serves as a member of the Interdepartmental Center SmartData@PoliTO and acts as Academic Advisor for the Master's degree program in Data Science and Engineering. Research Groups: DBDM - Database and Data Mining Group (DAUIN) ERC Sectors: Algorithms, Artificial Intelligence, Machine Learning, Web and Information Systems Research Interests span Big Data Analytics, Data Science, Machine Learning, Computer Vision, and Quantum Computing. His work focuses on integrating data-driven and theory-guided approaches for heterogeneous data querying, cloud continuum machine learning, and spatio-temporal models for crisis management. Recent Publications highlight trends in medical image segmentation, predictive industrial modeling, and fault-tolerant data systems. Key subfields include AI in healthcare, scalable manufacturing analytics, and vision-language models for game tutorials. Teaching roles include course ownership of Big Data: Architectures and Data Analytics and Internships across multiple academic years. He has collaborated on courses in Data Science, Database Technologies, and Data Management. PhD Students Supervised: Etibar Vazirov (Cloud Continuum Machine Learning) Gabriele Scaffidi Militone (Cloud Storage Microservices) Daniele Rege Cambrin (Spatio-Temporal Ecology Models) Simone Monaco (Theory-Guided Data Science) Research Projects include commercial contracts on: - Natural language querying of corporate research archives - National tourism ecosystem platforms - AI for thermotechnical system design - Machine Learning in clinical trials and supply chains

Bernardo Telliniمشاهده پروفایل

استاد

• Electrical Measurements
• Magnetic Characterization
• Battery Technology
• +۵ مورد دیگر

Bernardo Tellini is a Full Professor of Electrical and Electronic Measurements at the Department of Energy, Systems, Land, and Construction Engineering (DESTEC) at the University of Pisa, where he also serves as Vice-Rector for Doctoral Research. He has held this institutional role since 2020, overseeing doctoral program planning, accreditation, and admission procedures. Previously, he chaired the doctoral program in Energy, Electrical, and Thermal Engineering from 2012 to 2016 and served on the Leonardo da Vinci Doctoral School in Engineering from 2008 to 2016. Education: PhD in Electrical Engineering, University of Pisa (1999) Degree in Electrical Engineering, University of Pisa (1993) Postdoctoral research at Karlsruhe Research Center for Technology and Environment Industry experience at ABB Tellini's research focuses on electrical and magnetic measurement methodologies for high-power pulsed applications, characterization of electrical and magnetic properties of materials, aging processes in battery cells, and electromagnetic emissions from power circuits. His work spans from fundamental measurement theory to practical industrial applications, particularly in railway technologies where he represents the University on the Steering Committee of the District for Railway Technologies, High-Speed, and Network Safety in Tuscany. He has served as president of the European Pulsed Power Laboratories agreement and chaired major IEEE conferences including I2MTC 2015 and MELECON 2020. His recent publications reveal a strong emphasis on RFID-based localization systems , nanoparticle-enhanced optical sensors , and advanced battery characterization techniques . The research trajectory shows increasing integration of measurement science with emerging technologies like plasmonic sensing, microwire-based transducers, and smart systems for industrial monitoring. His team has developed innovative approaches for battery health monitoring under vibration stress, temperature sensing using magnetic materials, and precise localization methods using phase-based RFID systems. Professional Service: President of Italian Section of IEEE (2019-2021) Scientific director of Pisa research unit in Association of Electrical and Electronic Measurements (GMEE) Member of Certification Committee of Italcertifer SpA (since 2019) Representative on District for Railway Technologies Steering Committee (since 2013) Tellini has authored approximately 200 publications in international journals and conference proceedings. His leadership extends to academic governance through roles on the DESTEC Department Human Resources Committee and various university committees overseeing scientific qualifications and doctoral programs. His research bridges theoretical measurement principles with practical engineering solutions for energy systems, transportation infrastructure, and industrial monitoring applications.

• Biochemistry
• Structural Biology
• Molecular Biophysics
• +۴ مورد دیگر

Alessandra Pesce is an Associate Professor at the Department of Physics (DIFI) of the University of Genoa, Italy. Her research focuses on structural biology of globins, protein aggregation, and cold-adapted enzymes, with applications in life sciences, environmental monitoring, and cultural heritage preservation. She teaches Applied Physics and Biophysics at both undergraduate and graduate levels in Physics and Biological Sciences. Her work spans from atomic-level characterization of protein crystals using Atomic Force Microscopy to large-scale ecological projects like the LIFE+ WHALESAFE initiative for sperm whale conservation through acoustic monitoring. Email: alessandra.pesce@unige.it Phone: +39 010 33 56243 Research Interests: Structural characterization of hexa-coordinated globins in marine organisms Thermodynamic and kinetic analysis of truncated hemoglobins in pathogenic bacteria Quaternary structure adaptations in Antarctic enzymes Development of acoustic monitoring systems for marine mammal conservation Protein aggregation mechanisms in amyloid-related diseases Publication Trends: Over 15 years, her research demonstrates expertise in combining X-ray crystallography with biophysical techniques to study globin family proteins across diverse species (from nematodes to whales). Key themes include heme reactivity modulation, ligand diffusion pathways, and structure-function relationships in extremophile proteins, with recent emphasis on marine conservation technology.

Anna Monrealeمشاهده پروفایل

دانشیار

• Privacy-Preserving Data Mining
• Big Data Analytics
• Social Network Analysis
• +۷ مورد دیگر

Anna Monreale is an Associate Professor in the Department of Computer Science at the University of Pisa and a key member of the Knowledge Discovery and Data Mining Laboratory (KDD-Lab), a joint research group with the Information Science and Technology Institute of the National Research Council (ISTI-CNR) in Pisa. Her academic career is rooted in the University of Pisa, where she completed her Bachelor's, Master's, and Ph.D. in Computer Science. Her research focuses on privacy-preserving data analytics, with core interests in big data analytics, social network analysis, spatio-temporal mining, and explainable AI. She is particularly known for her work on privacy-by-design in data mining and evaluating privacy risks in analytical processes. Her research bridges technical innovation with ethical and legal considerations in data science. Her recent publications reveal a strong trend toward explainable AI, privacy in federated learning, and risk assessment in mobility and health data. She actively contributes to developing methods for explaining black-box models, assessing privacy exposure, and balancing privacy, utility, and fairness in AI systems. Privacy by Design Ambassador (2014) ISTI-CNR Young++ Researcher Award (2014) Monreale has advised and co-chaired several international workshops, including PriSMO, PinSoDa, and MoKMaSD, and serves on editorial boards such as Transactions on Data Privacy. She teaches advanced data mining, big data ethics, and database systems across multiple graduate and undergraduate programs. She is involved in major EU projects like SoBigData, XAI, TAILOR, and HumMingBird, reflecting her leadership in data science and AI ethics. She is affiliated with the KDD-Lab, a prominent research group focused on knowledge discovery, social mining, and big data analytics, contributing to both theoretical advances and real-world applications in privacy-aware data science.

Lucia Zappalàمشاهده پروفایل

استاد

• Hymenoptera parasitoids
• Biological control
• Integrated pest management (IPM)
• +۳ مورد دیگر

Lucia Zappalà is a Full Professor of General and Applied Entomology at the University of Catania's Department of Agriculture, Food and Environment (Di3A) since 2020. She serves as University Delegate for International Relations since 2019 and President of the European University Alliance EUNICE since 2024. Her research focuses on Hymenoptera parasitoids, integrated pest management (IPM), and pesticide effects on natural enemies. She is a member of the Italian Entomological Society's Agricultural Entomology section and the Italian National Academy of Entomology. PhD in Agricultural Entomology (University of Naples Federico II, 2001) Postdoctoral fellowship at University of Florida (2003) University of Catania faculty since 2006 Visiting professor at UC Berkeley (2015) Her research spans biological control agent discovery, pesticide risk assessment, and invasive pest management across Mediterranean agroecosystems. She has published over 300 indexed articles (h-index 37) on parasitoid-pest interactions and sustainable control strategies. Recent work examines botanical extract compatibility with natural enemies and essential oil-based plant defenses . She contributes to Phytoparasitica and European Journal of Entomology editorial boards. Scientific awards include a 2003 postdoctoral fellowship. She has served as Principal Investigator for national (FIR, PRIN) and international (FP7, ARIMNET 2) projects, and contributes to EFSA's Plant Health Panel. Her laboratory (Biocontrol Lab, Di3A) conducts applied entomology research on invasive Hemiptera and quarantine pest evaluations .

Nicolò Cesa-Bianchiمشاهده پروفایل

استاد

• Machine Learning
• Online Learning
• Multi-Armed Bandits
• +۴ مورد دیگر

Nicolò Cesa-Bianchi is a Professor of Computer Science at the University of Milan, Department of Computer Science (Dipartimento di Informatica), and affiliated with the DEIB Department at Politecnico di Milano. His research focuses on foundational aspects of machine learning, particularly online learning, multi-armed bandits, reinforcement learning, and graph analytics. He is an ELLIS Fellow and a corresponding member of the Accademia Nazionale dei Lincei. Research interests include the design and analysis of algorithms for prediction, clustering, and online decision-making, with applications to digital markets, social networks, and bioinformatics. Notable contributions span cooperative online learning, multitask learning, and bandit algorithms. He co-authored the influential book Prediction, Learning, and Games (2006). Professional roles include Board member of ELLIS, co-director of the Milan ELLIS unit, and involvement in EU initiatives like ELSA (Secure & Safe AI) and ELIAS (AI for Sustainability). He teaches graduate courses on statistical methods, machine learning, and reinforcement learning, with a focus on theoretical foundations. Key awards: ELLIS Fellowship (2020), Corresponding Member of the Accademia Nazionale dei Lincei (Italian National Academy of Sciences). His work bridges theory and practice, addressing challenges in adaptive systems, market design, and algorithmic fairness. Current projects explore distributed learning, regret minimization in adversarial environments, and interpretable models.

Dipanwita Thakurمشاهده پروفایل

استادیار

• Green Artificial Intelligence
• Federated Learning
• Smart Healthcare
• +۴ مورد دیگر

Dr. Dipanwita Thakur serves as Assistant Professor at the Department of Computer Engineering, Modeling, Electronics and Systems (DIMES) at the University of Calabria, Italy since July 2023. She is an active member of the European Cooperation in Science & Technology (COST Action CA22104) focusing on cybersecurity and serves in the IEEE Future Networks Working Group for Artificial Intelligence/Machine Learning. Previously, she held a 15-year Assistant Professor position at Banasthali University, Rajasthan, and has industry experience at TechMahindra and C-DAC. Education: Ph.D. in Smart Healthcare from West Bengal University of Technology, Kolkata M.Tech. in Software Engineering from Banasthali Vidyapith MCA from NIELIT, Government of India B.Sc. from University of Calcutta Her research pioneers Green Artificial Intelligence with emphasis on energy-efficient federated learning and smart healthcare applications. She develops privacy-preserving human activity recognition systems using multimodal data fusion, focusing on performance evaluation and environmental sustainability. Her work bridges theoretical machine learning with practical healthcare solutions, optimizing AI systems for reduced carbon footprint while maintaining clinical efficacy through hardware-algorithm co-design and quantization techniques. Recent publications reveal a strong trajectory toward sustainable AI, with increasing focus on energy-aware federated learning frameworks, multimodal medical segmentation, and non-IID data handling. Her work consistently addresses the critical balance between model accuracy, convergence speed, and energy consumption across edge devices, with growing emphasis on quantization techniques and hardware-algorithm co-design for real-world deployment. Scientific Awards: Elevated to IEEE Senior Member (2024) Dr. B.C. Roy Memorial Scholarship for outstanding 10th Board results (1992) Student Science Seminar Award by West Bengal Government (1990) Dr. Thakur actively mentors students as evidenced by her congratulations to advisee Farwa for paper acceptances. She serves as Associate Editor for Information Fusion (Elsevier) and IEEE Sensors Journal, and holds editorial roles at Scientific Reports. Her research is advanced through COST Action CA22104 and IEEE working groups, though specific grant details aren't listed in the source material. She has organized key workshops including Green-Aware AI 2024 and Green Federated Learning at IJCNN 2025. She leads research within the MONAI community on data quality and federated learning, and contributes to IEEE IoT and Future Networks initiatives. Her work with the COST Action CA22104 Behavioral Next Generation in Wireless Networks connects cybersecurity with sustainable AI development, while her Missouri S&T visiting scholar position focuses on energy optimization for federated learning systems.

• Trace Element Geochemistry
• Atmospheric Pollution Analysis
• Environmental Biomonitors
• +۳ مورد دیگر

Maria Grazia Alaimo is a Researcher in the Department of Earth and Marine Sciences at the University of Palermo . Her work focuses on environmental geochemistry, atmospheric pollution analysis, and biomonitoring using plants, lichens, and human biological matrices. She has conducted extensive studies on trace element distribution in urban and industrial areas of Sicily. Current affiliation: University of Palermo Academic rank: Researcher Research Interests: Her research spans trace element geochemistry , urban air quality , and human exposure to heavy metals . Key areas include: Atmospheric pollution dynamics Soil and plant interactions Biomonitoring techniques Industrial contamination effects Health risk assessment Recent publications demonstrate expertise in PM10/PM2.5 analysis , lichen biomonitoring , and heavy metal accumulation in mushrooms and human hair . While no explicit awards or students are listed in available data, her work contributes to environmental health and pollution mitigation strategies.

• Structural Health Monitoring (SHM)
• Smart / self-sensing cementitious composites
• Bridge engineering and life-cycle assessment
• +۶ مورد دیگر

Filippo Ubertini is Professor of Civil and Environmental Engineering at the University of Perugia, Italy, where he coordinates the International Doctoral Programme in Civil & Environmental Engineering and represents the University inside the FABRE national bridge-research consortium. He leads the Structural Health Monitoring Laboratory ( SHM-Lab ) and is the primary contact for assignments linked to smart-infrastructure research. Education: While explicit degrees are not listed in the supplied text, his role as programme coordinator and full professor implies completion of a PhD and habilitation in Civil Engineering. Research focus: Ubertini’s work sits at the intersection of smart materials and data-driven infrastructure management . He develops self-sensing cementitious composites doped with carbon micro-fibers or graphene nano-platelets that can measure strain, cracking and moisture in real time, turning whole bridges and buildings into distributed sensors. Complementary research threads include low-cost acquisition electronics, UAV & InSAR remote sensing, Bayesian & adversarial machine-learning algorithms for damage detection, digital twins and life-cycle cost analysis of bridge networks. Publication trends (2024-2025): Roughly 30 peer-reviewed items per year concentrate on (i) AI-enhanced operational modal analysis and transfer-learning damage classification across bridge populations, (ii) experimental characterisation of 3D-printed and cast self-sensing concrete, (iii) full-scale validation on curved box-girder, masonry and railway bridges, and (iv) integration of satellite radar data with numerical collapse simulations to predict residual service life of landslide-affected viaducts. Scientific awards & recognition: No specific prizes or fellowships are mentioned in the provided text. Doctoral supervision & grants: The text does not enumerate individual students or funded projects; however, his coordination of an international PhD programme and numerous experimental campaigns imply sizeable supervisory and funding responsibilities. Laboratory & team: Ubertini heads the SHM-Lab at UniPg, maintaining facilities for material mixing, 3D concrete printing, electrical impedance tomography, UAV photogrammetry, and large-scale structural testing, while collaborating with the European FABRE consortium and multiple EU projects.

Stefano Braccoمشاهده پروفایل

دانشیار

• Power Systems
• Microgrids
• Renewable Energy Integration
• +۳ مورد دیگر

Stefano Bracco is an Associate Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa, Italy, serving on both the Department Board and the School Council of the Polytechnic School. He teaches advanced courses including Energy Transition and Power Systems Management for Master's programs in Energy Engineering, Management for Energy and Environmental Transition (MEET), and Engineering for Natural Risk Management, covering critical topics in sustainable power systems and infrastructure modeling. His research focuses on power systems engineering with emphasis on microgrid optimization, renewable energy integration, and electric vehicle infrastructure. Key contributions include energy management systems (EMS) for active/reactive power control in microgrids, vehicle-to-grid/home technologies, and sustainable energy community design. His work addresses grid stability challenges, economic optimization of distributed energy resources, and resilience enhancement in critical facilities through advanced mathematical modeling and real-world case studies. Analysis of his 15 most recent publications (2024-2025) reveals consistent application of mixed-integer linear programming (MILP) for microgrid optimization across diverse contexts including university campuses, industrial sites, and Italian municipalities. Dominant trends include integration of electric vehicle charging infrastructure with renewables, uncertainty handling in renewable communities, and multi-scale control frameworks for automated transportation. His research bridges theoretical optimization with practical implementation, frequently using the Savona University Campus as a living laboratory for sustainable energy solutions. No scientific awards were mentioned in the provided information. The available text did not specify any advised students or research grants, though his extensive publication record suggests active research supervision and project leadership. While no dedicated laboratories are explicitly attributed to him, his work frequently involves the Savona University Campus infrastructure, including the CN MOST Laboratory and microgrid test facilities, indicating collaboration with existing university energy research platforms.

Provvidenza Rita D'Ursoمشاهده پروفایل

استادیار

• Environmental Monitoring
• Agricultural Engineering
• Livestock Housing Systems
• +۷ مورد دیگر

Provvidenza Rita D'Urso is a Fixed-term Assistant Professor at the University of Catania's Department of Agriculture Food and Environment (Di3A), specializing in Rural Buildings and Agro-forest Land Planning within the School of Agriculture. Her current position runs from March 1, 2023 to February 28, 2026, as part of the SAMOTHRACE project funded by the European Union through NextGenerationUE. She maintains an office in the Engineering Area at Via Santa Sofia, 100, and conducts research focused on environmental monitoring in agricultural settings. Dr. D'Urso earned her PhD in Agricultural, Food and Environmental Science from the University of Catania in 2022 with a thesis on measuring ammonia and GHG concentrations in dairy housing systems. She holds dual qualifications as both a Civil and Environmental Engineer (2017) and an Agronomist and Forestry Doctor (2020), demonstrating her interdisciplinary expertise. Her educational background includes two Master's degrees earned cum laude : one in Agricultural Sciences and Technologies (2018) and another in Building Engineering and Architecture (2016). Her research interests center on environmental monitoring in agricultural contexts, particularly focusing on ammonia and greenhouse gas emissions from livestock housing systems. She investigates innovative measurement techniques using infrared photo-acoustic multi-gas analyzers and low-cost devices, while also exploring mitigation strategies including green wall systems and bio-acidification treatments. Her work bridges agricultural engineering with environmental protection, addressing critical challenges in sustainable farming practices. Analysis of her recent publications reveals a strong focus on precision environmental monitoring in agricultural settings, with particular emphasis on spatial and temporal distribution of gaseous emissions in dairy barns. Her research demonstrates methodological rigor in measurement techniques while maintaining practical applications for emission reduction in livestock farming. She frequently employs geospatial analysis and contributes to systematic literature reviews that advance understanding of environmental impacts across agricultural sectors. National Scientific Qualification as Associate Professor (2023) PhD awarded with honors (unanimous decision by Committee, 2022) Multiple Master's degrees earned 110/110 cum laude Active member of the Italian Society of Agricultural Engineering (AIIA) Dr. D'Urso serves as an academic advisor and collaborator on multiple research projects, frequently working with Professor Claudia Arcidiacono as primary supervisor. Her research group focuses on developing practical solutions for environmental challenges in Mediterranean agricultural systems, with particular attention to measurement methodologies and mitigation strategies that can be implemented in real-world farming operations. She maintains active collaborations with European research institutions through COST Training School programs.

• CMOS integrated circuits
• Computer architecture
• Electrical and electronic engineering
• +۱۲ مورد دیگر

Maurizio Zamboni is a Full Professor at the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, where he also serves as Student Ombudsman. His academic career spans over three decades with continuous teaching and research contributions in electronics and computing fields. Professor Zamboni's research interests focus on cutting-edge areas including CMOS integrated circuits, computer architecture, quantum computing, semiconductor devices, and VLSI design. His work particularly emphasizes emerging nanotechnologies for digital microelectronic architectures and the design of high-performance or low-consumption processing systems. He has developed expertise in circuit architectures for probabilistic computing, logic-in-memory computing, magnetic devices, and quantum architectures. His recent publications (2021-2025) reveal a strong trend toward quantum computing applications, in-memory processing architectures, and novel approaches to overcoming the memory wall problem. These works span both theoretical algorithm development and practical hardware implementations, with significant focus on quantum annealing, FPGA-based quantum emulation, and memory-mapped processing architectures. Professor Zamboni has been actively supervising PhD students working on quantum computing algorithms, hardware AI accelerators for automotive applications, and quantum-related optimization approaches. He leads research within the VLSILAB Group at DET, focusing on the intersection of nanoelectronics, quantum computing, and advanced computer architectures. His work bridges theoretical computer science with practical electronic design, creating novel solutions for next-generation computing challenges.

• Social Stratification
• Intergenerational Mobility
• Education
• +۷ مورد دیگر

Filippo Gioachin is a Research Fellow at the Department of Sociology and Social Research, University of Trento, specializing in longitudinal analysis and causal inference. His work bridges social classes, income dynamics, and educational inequalities. PhD in Sociologia e Ricerca Sociale (2019-2024), Cum Laude M.A. in Sociology and Social Research (2017-2019), University of Trento B.A. in Sociology (2014-2017), University of Trento Erasmus exchange at University of Kent (2018) His research focuses on social stratification , intergenerational mobility , and life course inequalities , particularly analyzing the impact of institutional transformations on poverty risks and gendered economic disparities. Recent projects include Equality of Opportunity and Social Mobility (PRIN-funded), AGE-IT (PNRR-funded), and technological change’s influence on labor productivity and income inequality. Recognized for award-winning publications, Filippo has contributed to debates on gender inequality in domestic responsibilities during the pandemic, earning accolades from Premio Nicola Negri and Research in Social Stratification and Mobility. He actively participates in academic conferences (e.g., ECSR, RC28, PAA) and serves on the editorial board of Social Science Research . Co-supervised research on parental education and offspring wealth attainment in Europe Teaching roles include modules on educational inequality and quantitative methods Member of the Center for Social Inequality Studies (CSIS) and Life Course Research Laboratory (LC3)

Hugo Georges Victor Lavenantمشاهده پروفایل

استادیار

• Optimal Transport
• Calculus of Variations
• Convex Analysis
• +۳ مورد دیگر

Hugo Georges Victor Lavenant serves as Assistant Professor in the Department of Decision Sciences at Bocconi University, Milan, where he has held a faculty position since 2020. Previously, he completed a postdoctoral fellowship at the University of British Columbia (2019-2020) under the Pacific Institute of Mathematical Sciences and earned his PhD in Mathematics from Université Paris-Sud (2016-2019) under Filippo Santambrogio's supervision. His academic foundation includes: PhD in Mathematics, Université Paris-Sud (2016-2019) Studies at École Normale Supérieure (2012-2016) covering mathematics, physics, history, and philosophy of science Classes préparatoires in mathematics and physics (2010-2012) Lavenant's research centers on optimal transport theory and its applications across mathematical disciplines. He investigates geometric structures in Wasserstein spaces, develops numerical methods for dynamical optimal transport, and bridges theoretical advances with Bayesian statistics. His work demonstrates particular innovation in trajectory inference for biological data and dependence measures for random measures, connecting pure mathematics with computational statistics. Recent publications reveal accelerating interdisciplinary impact, with 2024-2025 works extending optimal transport to machine learning (kernel methods, variational inference) and data science (opinion dynamics, single-cell analysis). This trajectory shows increasing methodological sophistication in handling measure-valued mappings and non-smooth geometries while maintaining computational tractability. Award recognition includes: Pacific Institute of Mathematical Sciences Postdoctoral Fellowship Lavenant actively mentors early-career researchers through formal advising relationships and collaborative projects. He currently supervises two PhD candidates (George Kanchaveli and Francesco Mascari, co-advised with Marta Catalano) and has guided Master's students including Mathis Hardion and Niccolò Bargellini. His teaching portfolio spans advanced analysis, optimization, and real analysis courses at Bocconi, reflecting his commitment to mathematical rigor in education. He operates within Bocconi's Decision Sciences ecosystem while maintaining international collaborations with researchers at UBC, Université Paris-Sud, and statistical groups worldwide. Current projects focus on entropy-based transport methods and geometric approaches to nonparametric statistics, positioning his work at the intersection of theoretical mathematics and data-driven applications.

• Labor Economics
• Development Economics
• Economic Inequality
• +۷ مورد دیگر

Gabriella Berloffa is a Full Professor in the Department of Economics and Management at the University of Trento, where she has served since 2005. She directs the department and participates in university governance as a member of the University Council. PhD in Economics, University of York (1997) MSc in Economics (Distinction), University of York (1994) BA in Economia Politica (Cum Laude), University of Trento (1993) Her research focuses on household economic decisions (consumption, savings, labor supply) and their impacts on welfare and inequality , spanning both developed and developing nations. Key contributions include analyzing European economic inequality , youth unemployment dynamics , and household risk-coping strategies . Recent publications emphasize labor market quality , gender disparities , and microeconomic modeling , employing advanced econometric techniques and qualitative methods. She led the STYLE EU FP7 project (2014–2017) on youth transitions and contributed to national research on labor policies and poverty analysis . Sir Austin Robinson Memorial Prize (1997) Berloffa has advised doctoral programs since 2005, chaired institutional committees, and served as referee for journals including Economic Journal and Journal of Development Studies . Her policy work includes presentations at the European Commission and Italian institutions.