جستجوی استاد راهنمای دانشگاهی

Andrea Sottorivaمشاهده پروفایل

استاد

• Cancer Evolution
• Computational Biology
• Genomics
• +۴ مورد دیگر

Andrea Sottoriva is the Head of the Computational Biology Research Centre at Human Technopole , Milan, Italy, and holds the title of Professor of Cancer Genomics and Evolution . His work bridges computational biology, evolutionary theory, and clinical oncology to predict cancer progression and design adaptive treatment strategies. University of Bologna – BSc in Computer Science (2006) University of Amsterdam – MSc in Computational Sciences (2008) University of Cambridge – PhD in Computational Biology (2012) Dr. Sottoriva's research focuses on cancer evolution , applying machine learning and population genetics to decode tumor heterogeneity through multi-omics data. His lab integrates patient-derived organoids and spatial genomics to understand how genetic and epigenetic factors drive cancer progression. The 15 most recent publications demonstrate a consistent emphasis on subclonal dynamics (7/15), computational methods (6/15), and evolutionary modeling (5/15). Key themes include adaptive mutability in colorectal cancer , immune editing in post-transplantation relapses, and deep learning applications for tumor heterogeneity. Scientific recognition includes: Cancer Research UK Future Leaders in Cancer Research Prize (2016) His lab currently trains PhD students and postdoctoral researchers in computational oncology, maintaining a living biobank of patient-derived models while pioneering AI-mechanistic hybrid models for clinical translation.

• Fluvial geomorphology
• Ecohydraulics
• Biogeomorphology
• +۵ مورد دیگر

Walter Bertoldi is an Associate Professor of Geomorphology and Physical Geography at the University of Trento , Italy, within the Department of Civil, Environmental and Mechanical Engineering. Since April 2018 he has held the Associate Professor rank, after serving as Assistant Professor from 2011-2018. He is also affiliated with the Agriculture, Food and Environment Center-C3A at the same university, and previously worked as Research Associate at Queen Mary University of London (2009-2010) and the University of Trento (2006-2009). Education PhD in Environmental Engineering (2004), University of Trento – Thesis: “River Bifurcations” 5-year Laurea degree in Environmental and Landscape Engineering (2000), University of Trento – 110/110 High school diploma (1994), Liceo Scientifico B. Russell, Cles (TN) On-line Master “Cooperación internacional: Tecnologías para el Desarrollo Humano” (2005), Ingenieria Sin Fronteras & Universitat Oberta de Catalunya Research Interests Walter Bertoldi’s research is centred on fluvial geomorphology with a strong emphasis on braided rivers . He investigates: Interactions between flow, sediment transport and vegetation Spatio-temporal controls on river morphology and bifurcations Biogeomorphic feedbacks involving riparian vegetation and large wood Physical and numerical modelling of river morphodynamics Use of remote sensing (LiDAR, Sentinel, close-range imagery) for monitoring river change His preferred field laboratory is the pristine River Tagliamento in Italy, complemented by collaborations on Alpine, Balkan and Japanese rivers. Scientific Awards & Recognition 2019 Gordon Warwick Award – British Society for Geomorphology, for excellence in geomorphological research within 15 years of PhD 2010 Wiley-Blackwell Award – Best paper in Earth Surface Processes and Landforms for “Planform dynamics of braided streams” Advising & Grant Leadership Bertoldi has supervised 14 PhD students to completion (or up to present), 46+ MSc theses and three post-doctoral fellows funded by MSCA and provincial grants. He currently sits on the academic boards of the Erasmus Mundus SMART Joint Doctorate and the University of Trento PhD programmes in Agrifood & Environmental Sciences and Civil & Environmental Engineering. Laboratories, Teams & Collaborations He leads experimental work in the University of Trento hydraulic/fluvial lab and coordinates field campaigns combining drones, LiDAR and in-situ instrumentation. Long-standing international collaborators include Queen Mary University of London, University of Western Ontario, ETH Zurich, University of Padova, Free University of Bozen-Bolzano, University of Kyoto and others.

Marco Farinaمشاهده پروفایل

استاد

• Electromagnetic Fields
• Scanning Probe Microscopy
• Nanotechnology
• +۴ مورد دیگر

Marco Farina is a Full Professor in Electromagnetics at the Department of Information Engineering, College of Engineering, Polytechnic University of Marche, Italy. His research spans electromagnetic modeling, scanning microwave microscopy, and nanotechnology, with applications in 2D materials, biosensors, and advanced measurement systems. He is a Senior Member of IEEE and actively contributes to Technical Committees on RF Nanotechnology. Laurea and Ph.D. in Electronic Engineering from University of Ancona Research interests focus on quantitative scanning microwave microscopy, electromagnetic analysis of active/passive components, and nanoscale characterization techniques. His work bridges theoretical modeling with practical implementation, including the development of the EM3DS software suite and novel inverted SMM systems. Recent publications highlight interdisciplinary applications in biomedical analysis and semiconductor physics. Scientific recognition includes the 3M-Nano Best Conference Paper Award and grants from US Army Research Laboratory and US Air Force Office of Scientific Research. He holds an ESA-funded patent for VNA calibration and has co-authored a book on planar structure analysis. Collaborative projects emphasize RF device optimization and biological imaging.

• Information Processing Systems
• Internet of Things (IoT)
• Edge Computing
• +۴ مورد دیگر

Marcello Pietri is a Researcher (td art. 24 c. 3 lett. A) and Contract Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia. His work focuses on Information Processing Systems, with expertise in IoT, Edge Computing, and Digital Twins. He teaches courses like 'Sistemi Informativi' (Information Systems) for the Engineering Management program, emphasizing database design, SQL, and web application development with Python. His research explores advanced topics including Digital Twin integration in Industry 5.0, Fluid Computing in IoT ecosystems, and Smart City data fusion using 5G MEC architectures. He collaborates with institutions like the DIPI Lab (Distributed and Pervasive Intelligence Group), contributing to projects on telecom security, energy forecasting, and human-centric manufacturing systems. Recent publications highlight innovations in operator digital twins for workplace well-being, distributed data mesh models for IoT-edge-cloud systems, and adaptive monitoring algorithms for large-scale cloud environments. His work bridges theoretical advancements with practical implementations, addressing challenges in scalability, real-time data processing, and interdisciplinary collaboration.

Alessio Vienoمشاهده پروفایل

استاد

• Community Psychology
• Behavioral Addiction
• Adolescent Development
• +۳ مورد دیگر

Alessio Vieno is a Full Professor at the University of Padua, specializing in Community Psychology and Behavioral Addictions. His research focuses on adolescent development, particularly addressing how social environments, digital media use, and risk behaviors intersect to shape health outcomes. He leads the Italian Health Behaviour in School-aged Children (HBSC) Study, analyzing data from nationally representative samples to inform public health policy. Research Interests span behavioral addiction (e.g., gaming disorder, cyberpornography), social media impacts, adolescent health disparities, and preventive strategies. He employs longitudinal and cross-sectional methodologies to explore topics like maternal/paternal phubbing effects, pandemic-related behavioral changes, and substance use trends across 40+ countries. Key Contributions include groundbreaking work on: Linking BMI/menarche timing with health risks Uncovering social anxiety mechanisms in ASD populations Developing Bayesian models to forecast cannabis use trends Assessing democratic school climates' civic engagement effects Labs/Teams involve collaboration with HBSC international networks and multidisciplinary teams studying digital addiction and youth resilience. He maintains active participation in EU-funded projects addressing homelessness services and migrant adolescent integration.

• Sampling Methods
• Survey Design
• Spatial Statistics
• +۴ مورد دیگر

Giorgio Alleva is a Full Professor at the Department of Methods and Models for Economy, Territory and Finance at Sapienza University of Rome. He specializes in statistical methods for labor market analysis, data integration, and spatial statistics. His work addresses the intersection of official statistics, administrative data utilization, and pandemic surveillance systems. Academic Rank: Full Professor Department: Methods and Models for Economy, Territory and Finance Email: giorgio.alleva@uniroma1.it His research focuses on sampling methodologies , survey design , and quality assessment of official statistics . Recent work includes optimizing spatial sampling strategies for SARS-CoV-2 surveillance and analyzing data ecosystems for multisource integration. He also explores the role of statistical transparency in public health communication. Alleva's recent publications emphasize pandemic data infrastructure , economic modeling , and territorial administrative analysis . His methodological contributions span stochastic general equilibrium models and accuracy measurement in statistical registers. He leads the UNESCO CHAIR 'Population, Migrations and Development' and collaborates with the COVINFORM research group. His teaching includes a 3-CFU module on labor market data analysis, with classes held in Santoro Passarelli Hall on Wednesdays and Room IX on Fridays.

Salvatore BARRECAمشاهده پروفایل

استادیار

• Analytical Chemistry
• Environmental Pollution
• Environmental Analysis
• +۶ مورد دیگر

Salvatore BARRECA is a Fixed-term Assistant Professor of Analytical Chemistry (CHIM/01) at the University of Catania , Department of Chemical Sciences. His research focuses on environmental and food analysis, sample preparation techniques, and photochemical remediation methods. Key research areas include: Environmental pollution and water quality monitoring Chromatography and mass spectrometry applications Photochemical and photocatalytic degradation of pollutants Chemical risk assessment in food and environmental matrices Development of analytical methods for trace contaminants Endocrine disruptors and emerging pollutants Recent work emphasizes perovskite solar cell environmental safety, fluoride analysis in beverages, and heavy metal quantification in food products. His publications demonstrate expertise in hyphenated analytical techniques (UHPLC-Q-TOF-MS, LC-MS/MS) and environmental biomonitoring. Salvatore is associated with Marco Arculeo's Lab at the University of Catania. He has contributed to patents related to photochemical water purification systems while maintaining active research collaborations across Italy and international institutions like Goethe University Frankfurt and Masaryk University.

• Analytical Chemistry
• Mass Spectrometry
• Biomaterials
• +۱۲ مورد دیگر

Lisa Elviri is an Associate Professor in Analytical Chemistry at the Department of Pharmacy, University of Parma, Faculty of Sciences. She holds a PhD in Chemical Sciences (Analytical Chemistry) from the University of Parma and has been a tenured researcher since 2004. Education: PhD in Chemical Sciences (Analytical Chemistry, University of Parma); Laurea in Chemistry (University of Parma). Her research spans analytical chemistry , mass spectrometry , biomaterials , 3D printing , and clinical diagnostics . She focuses on developing LC-MS and immunoenzymatic methods, validating techniques for pharmaceutical analysis, and designing chitosan-based scaffolds for tissue regeneration. Recent publications highlight work on Alzheimer’s disease (PCSK9 inhibition, APOE4 genotype studies), 3D-printed medical devices , and biorefinery quality monitoring using spectroscopy. Her teaching includes Analytical Chemistry for 5-year Master’s programs in Pharmacy and Pharmaceutical Chemistry. She has authored 75 international publications, 140 conference communications, and holds an H-index of 26 (Google Scholar). Her office is located at the Science and Technology Campus, Parma.

• Survey Methodology
• Economic Statistics
• Big Data Analysis
• +۳ مورد دیگر

Daniele Toninelli is an Associate Professor of Economic Statistics (SECS-S/03) at the University of Bergamo's Department of Economics, where he also serves as Director of the 'Data Analyst for Strategic Decisions' program, Internship Manager for the department, and member of the School of Economics and Management's Joint Teacher-Student Commission. His educational background includes a PhD in Marketing for Business Strategies (University of Bergamo, 2009), Master's in Statistics for Market Research (University of Milan-Bicocca, 2004), and Degree in Statistical and Economic Sciences (University of Milan-Bicocca, 2003). Toninelli's research focuses on: Survey and web survey methodology design and optimization Integration of big data for economic and social indicators Development of price indexes and composite indicators Social media analytics for economic measurement His work bridges statistical theory with applications in labor markets, sustainability metrics, and environmental data analysis. Teaching activities encompass undergraduate and graduate courses including Economic Statistics, Quantitative Methods for Business Data Analysis, Advanced Business Statistics, and specialized 'Data Skills' modules covering visualization, survey methods, and SAS certification preparation. International research collaborations include visiting positions at Statistics Canada (2008-2013), University of Ottawa (2012-2013), VŠB-Technical University of Ostrava (2012-2013), RECSM at Universitat Pompeu Fabra (2014), and guest lectures at University of Ljubljana (2018). He previously served on the management committee of the WEBDATANET network (COST Action IS1004). Professional experience includes roles at PiTre Milan, IBM Semea/Celestica, and Multiplex Arcadia, applying statistical expertise in industrial settings.

Roberto Menichettiمشاهده پروفایل

پژوهشگر

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

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

• Clinical Psychology
• Health Psychology
• Child and Adolescent Mental Health
• +۱۲ مورد دیگر

Claudia Mazzeschi is a Professor at the University of Perugia, Faculty of Education Sciences. She serves as Coordinator of the Master's Degree in Assessment of Individual Functioning in Clinical and Health Psychology and the Doctoral Program in Human Sciences, indicating a central role in academic leadership and graduate training. Her research focuses on clinical and health psychology, with particular emphasis on child and adolescent mental health, psychological assessment, eating disorders, attachment, trauma, emotion regulation, and mindfulness-based interventions. She actively investigates the psychosocial impact of the COVID-19 pandemic and contributes to the validation of psychological instruments in Italian populations. Her work integrates psychodynamic theory with empirical research, especially in diagnostic systems like the Rorschach and Adult Attachment Projective System. The most recent publications show a strong trend toward transdiagnostic and multidimensional approaches to psychopathology, cultural influences on well-being, and the neurobiological underpinnings of mental illness. She frequently employs systematic reviews, validation studies, and longitudinal designs across European samples. While no formal list of awards is provided, her extensive publication output and program coordination roles reflect significant scholarly recognition. She advises graduate students and doctoral candidates, particularly within the programs she coordinates, though specific names are not listed. Her research is likely supported by university and national grants related to mental health, pandemic response, and psychological assessment development. She contributes to multi-method assessment practices and the integration of psychodynamic and evidence-based approaches. Claudia Mazzeschi is involved in research teams focused on developmental psychopathology, family processes, and innovative interventions such as mindful movement (Movimento Biologico). Her work with the tutoring service at the Faculty of Education Sciences suggests engagement in academic support and pedagogical innovation.

• Numerical Linear Algebra
• Matrix Theory
• Numerical Analysis
• +۶ مورد دیگر

Davide Palitta is an Assistant Professor (tenure track) at the Department of Mathematics of the University of Bologna. His research focuses on numerical linear algebra, matrix equations, and their applications in fields like data assimilation, deep learning, and parallel computing. He holds a PhD in Mathematics from the University of Bologna (2018) and has held postdoctoral positions at the Max Planck Institute in Magdeburg (2018–2021) and a visiting fellowship at Brown University (2020). His work emphasizes the development of efficient numerical algorithms for large-scale matrix equations, including Sylvester, Lyapunov, and Riccati equations. Key contributions include Krylov subspace methods, randomized techniques, and time-parallel integration strategies. His recent publications span topics such as sketched Krylov methods, tensor-based solvers, and preconditioning strategies for weak-constraint data assimilation. Palitta collaborates actively with international institutions and organizes seminars like the Scube series on numerical linear algebra. He is involved in upcoming conferences on matrix equations, data assimilation, and parallel computing. No scientific awards are explicitly mentioned in the provided materials.

Silvia Ferriniمشاهده پروفایل

استاد

• Environmental Economics
• Environmental Policy
• Marine Ecosystems
• +۳ مورد دیگر

Professor Silvia Ferrini holds the rank of Full Professor at the Department of Political and International Sciences, University of Siena. She teaches courses in Environmental Economics, Principles of Economics with Excel, and International Sciences. Her research focuses on environmental policy, marine ecosystems, biodiversity conservation, and sustainable development. Recent publications address topics such as ecosystem accounting, fisheries governance post-Brexit, land-use policy integration, and bioeconomy transitions. She actively contributes to environmental and policy research through collaborative international studies. Teaching responsibilities include courses for Master’s programs in Public Administration and International Sciences. Her work bridges environmental science, economics, and policy analysis to address global challenges like climate change and resource management. Professional engagement is supported via Webex platforms for remote teaching and collaboration.

Francesco Picarielloمشاهده پروفایل

پژوهشگر

• Electrical and Electronic Measurements
• Data Acquisition Systems
• Compressive Sampling
• +۷ مورد دیگر

Francesco Picariello is a Researcher at the Department of Engineering (DING) at the University of Sannio, specializing in Electrical and Electronic Measurements (ING-INF/07). His academic profile shows extensive expertise in measurement systems, data acquisition, and signal processing with applications across multiple domains including biomedical engineering, structural health monitoring, and wireless communications. His research interests focus on the design, implementation, and metrological characterization of mobile measurement systems, wireless sensor networks, data acquisition systems based on compressed sensing, signal processing, and image processing. These research activities have been applied to intelligent transportation systems, aerial photogrammetry using UAVs, indoor navigation, motion tracking, power consumption analysis of processors, wideband data acquisition systems, and physiological monitoring applications. Dr. Picariello's work demonstrates significant trends in compressive sampling techniques, with numerous publications on ECG signal processing, RF emitter localization, and structural health monitoring systems. His research shows a clear progression toward IoT integration, wearable medical devices, and security applications for communication channels. His scientific collaborations include institutions such as the University of Naples 'Parthenope', Military University of Technology of Warsaw, National Institute of Standards and Technology (NIST), Keysight Laboratories, CERN Institute, and the University of Tokyo, reflecting the international recognition of his work. As an active researcher with publications spanning from 2016 to 2025, Dr. Picariello has made substantial contributions to measurement science, particularly in the development of novel techniques for data acquisition, signal processing, and system metrological characterization across multiple application domains.

• Measurement Error Models
• Two-Step Models
• Social Capital
• +۳ مورد دیگر

Giuseppina Guagnano is an Associate Professor at the Department of Methods and Models for Economy, Territory, and Finance at the University of Rome "La Sapienza". Her research focuses on measurement error models, two-step models, social capital, and tax evasion. Research Interests: Measurement error models, Two-step models, Social capital, Tax evasion Recent Publication Trends (2019–2025): 8/15 articles address undeclared work, tax evasion, and measurement error. 5/15 focus on social capital's impact on demographics and policy. 3/15 analyze social theater projects through quantitative surveys. Teaching: Leads courses in Statistics and Statistical Models for Business, with detailed grading policies and office hours (Tuesday 11:00–13:00). Provides extensive course materials on e-learning platforms, including R code, datasets, and lecture slides.