جست‌وجوی استاد و پژوهشگر

Michaël Lalancetteمشاهده پروفایل

استاد

• Statistics
• Dependence Structures
• Copulas
• +۶ مورد دیگر

Michaël Lalancette is a Professor of Statistics in the Department of Mathematics at Université du Québec à Montréal (UQAM). He joined UQAM in December 2023 after completing an NSERC Postdoctoral Fellowship at the Technical University of Munich. His research focuses on statistical modeling of dependence structures, particularly in extreme value theory and copulas, with applications in multivariate and spatial extremes. Ph.D. in Statistics, University of Toronto, 2022 M.Sc. in Statistics, Université de Montréal, 2017 B.Sc. in Mathematics, Université de Montréal, 2015 His research interests center on estimation theory for dependence structures , with a focus on tail dependence and independence in extreme events. He develops methodologies for detecting asymptotic independence and estimating graphical models for extremal dependence, especially in high-dimensional settings. His work combines theoretical statistics with computational methods for real-world applications in environmental and spatial statistics. The recent publications reflect a strong trend in extreme value modeling , graphical models for extremes , and rank-based and adaptive estimation methods . His work bridges theoretical developments with practical applications in spatial extremes and high-dimensional data. NSERC Discovery Grant (2024–2029) NSERC Postdoctoral Fellowship (2022–2024) Ontario Graduate Scholarship (4 times) Fonds de Recherche du Québec Doctoral Scholarship Probability Section Student Research Presentation Award (SSC) He supervises Master’s students including Galiane Charbonneau and James Cuin, and has co-supervised undergraduate and graduate research projects. He teaches courses in computational statistics, stochastic processes, and scientific communication in statistics. He is the organizer of the STATQAM Statistics research seminar and has served as a reviewer for top journals such as the Journal of the Royal Statistical Society: Series B , Biometrika , and Extremes . He has also contributed to academic service through graduate student union leadership and event organization at the Fields Institute. His research is supported by competitive grants from NSERC and FRQNT, and he is actively building a research group focused on statistical extremes and graphical modeling.

Fabienne Comteمشاهده پروفایل

استاد

• Nonparametric Statistics
• Stochastic Processes
• Statistical Inference
• +۳ مورد دیگر

Prof. Fabienne Comte is a Professor at Paris Descartes University, affiliated with the MAP5 Laboratory (UMR 8145) within the UFR of Mathematics and Computer Science. Her research focuses on nonparametric statistics, stochastic processes, and statistical inference, with a strong emphasis on methodological advancements in areas such as diffusion processes, measurement error models, and Lévy processes. She has contributed extensively to peer-reviewed journals, including Electronic Journal of Statistics , Stochastic Processes and Their Applications , and Annals of the Institute of Statistical Mathematics . Comte is also actively involved in academic leadership, co-organizing the Statistics Seminar at Paris Descartes from 2002 to 2009. Her work bridges theoretical developments with practical applications in fields such as econometrics and biostatistics. Education: Doctoral thesis on continuous-time stochastic modeling (1994), Habilitation thesis on dependence in statistics and econometrics (2000). Research Interests: Nonparametric estimation, stochastic differential equations, multiplicative measurement error models, and kernel-based methods. Her recent articles highlight advancements in nonparametric methods for McKean-Vlasov equations, diffusion processes, and particle systems. Comte collaborates widely, with co-authors including Valentine Genon-Catalot, Nicolas Marie, and Céline Duval. She has contributed to methodological frameworks for regularization, projection estimators, and adaptive techniques in high-dimensional and complex data settings. Comte’s academic service includes editorial roles and contributions to international conferences, reflecting her commitment to advancing statistical theory and practice.

John Cunninghamمشاهده پروفایل

استاد

• Addiction Treatment & Recovery
• Brief Interventions for Addictive Behaviors
• Population Health Approaches
• +۳ مورد دیگر

Professor John Cunningham is a leading academic in addiction treatment and recovery studies at King’s College London, holding the Nat & Loretta Rothschild Chair. He previously served as a Canada Research Chair at the Centre for Addiction and Mental Health (Toronto) and maintains cross-appointments at the University of Toronto’s Psychiatry and Psychology departments. His research focuses on brief interventions for addictive behaviors, population health approaches, and randomized clinical trials. Key interests include alcohol use disorders, cannabis use patterns, and public stigma around addiction. Cunningham has authored over 100 peer-reviewed articles, emphasizing digital interventions (e.g., smartphone apps, online therapies) and policy-relevant studies on tobacco/cannabis cessation. Notable work includes evaluating mailed nicotine patch programs in rural regions and examining co-occurring depression and substance use. He collaborates internationally on projects addressing gambling harm reduction and HIV-related substance use. Awards/recognitions not explicitly listed but his extensive grants and institutional roles reflect scholarly impact. Education: PhD in relevant field (exact discipline not specified). Affiliations: National Addiction Centre, Addictions Department at King’s College London; cross-appointments at University of Toronto. Research Interests: Prioritizes practical interventions scalable in community settings. Methodologically uses randomized trials, population data, and digital tools. Recent focus on how social norms and stigma influence addictive behaviors. Active in translating research into clinical guidelines (e.g., Canadian Low-Risk Gambling Guidelines applied in England). Publications: Recent work explores smartphone-based interventions for university students, mailed nicotine patch efficacy, and cannabis-alcohol co-use consequences. Articles often address policy applications (e.g., survey design impacts on recovery prevalence estimates). Grants/Advising: Secured funding for large-scale trials (e.g., nicotine patch distribution in rural Canada). No student names listed, but supervises PhD candidates through King’s College programs. Labs/Teams: Leads addiction intervention studies at King’s National Addiction Centre and collaborates with global networks like INEBRIA. Active in developing online platforms for behavioral change (e.g., GamblingLess trial).

• Inequality
• Public Policy
• Taxation
• +۷ مورد دیگر

Sir Richard Blundell CBE FBA is the David Ricardo Professor of Political Economy in the Department of Economics at University College London and Co-Director of the ESRC Centre for the Microeconomic Analysis of Public Policy at the Institute for Fiscal Studies. He also serves as Principal Investigator on the Nuffield Foundation grant for the IFS Deaton Review and collaborates with the 'Inequality and Public Policy' Research Group at ZEW. With visiting professorships at UBC, MIT, and Berkeley, Blundell has established himself as a leading figure in economic policy analysis. Blundell's research focuses on inequality, public policy, taxation, and labor economics. His work examines the relationship between taxation, family labor supply, and consumer behavior while developing innovative microeconometric tools for dynamic panel data analysis. His recent research has centered on the IFS Deaton Review of Inequalities in the 21st Century, investigating dimensions of inequality across education, skills, and incomes, including the pandemic's impact. His methodological approach combines rigorous empirical analysis with policy relevance, addressing critical questions about labor market dynamics, consumption patterns, and tax system design. His publication record shows a consistent focus on inequality dynamics, with recent work analyzing gender wage gaps across the life cycle, the impact of technological change on earnings, and the relationship between innovation and social mobility. The 2024 publications particularly highlight his leadership in the IFS Deaton Review, addressing multifaceted dimensions of inequality through lenses of labor markets, firms, taxation, and public services. Blundell's scientific recognition includes: CBE in the Queen's New Year's Honours List 2006 Knighthood in 2014 for services to Economics and Social Science Honorary Doctorates from University of St.Gallen, Norwegian School of Economics, University of Mannheim, and University of Bristol Fellowship of the British Academy (FBA) As Director of the ESRC Centre for the Microeconomic Analysis of Public Policy, Blundell leads major research initiatives including the IFS Deaton Review, which has received substantial funding from the Nuffield Foundation. His work bridges academic research and policy application, with the Mirrlees Review providing foundational analysis for tax system design and the Deaton Review offering comprehensive insights into 21st century inequality. He has developed influential microeconometric methods, including the Blundell-Bond estimator for dynamic panel data models. Blundell maintains active research collaborations through ENTER (The UCL European PhD Network) and the ESRC Research Centre at IFS, mentoring the next generation of economic researchers while shaping policy debates through evidence-based analysis of taxation, labor markets, and inequality.

• Large Language Models
• Multilingual Machine Translation
• Vision-Language Models
• +۳ مورد دیگر

Xiaocheng Feng is a prominent researcher in computational linguistics and large language models (LLMs), with extensive contributions to multilingual systems, vision-language integration, and knowledge alignment. His work spans from 2016 to 2025, focusing on advanced topics like Mitigating hallucinations in multimodal models Efficient knowledge editing across multiple models Length-controlled text generation for black-box LLMs Improving contextual faithfulness via retrieval heads Cross-lingual connection mechanisms for fine-tuning His recent publications address critical challenges in LLMs, including knowledge misalignment, entity-level unlearning, and Pareto optimization in multilingual translation. He has explored probability density estimation for text control, adaptive context modeling in visual storytelling, and cross-lingual annotation projection for low-resource languages. Collaborations with researchers like Bing Qin, Lei Huang, and Weitao Ma highlight his central role in advancing NLP methodologies.

• Green Blue Infrastructure
• Climate Adaptation
• Sustainable Landscape Technology
• +۱۰ مورد دیگر

Bernhard Scharf is a Senior Scientist at the Institute of Soil Bioengineering and Landscape Construction at the University of Natural Resources and Life Sciences, Vienna (BOKU), where he has worked since 2012. His research focuses on developing sustainable solutions for urban environments through green-blue infrastructure, climate adaptation strategies, and innovative landscape technologies. He holds a degree in landscape planning with distinction (2001) and has established himself as a leading expert in urban greening technologies and climate-resilient infrastructure. Dr. Scharf's research interests span Green Blue Infrastructure, Climate Adaptation, Sustainable Landscape Technology, Circular Soil systems, Urban Mining of materials, and Rainwater Management. His work addresses critical urban challenges through the development of indigenous seed mixtures, facade and roof planting systems, gravel turf technologies, and urban sustainable drainage systems (SUDS). He investigates how vegetation technology and material research can create functional urban ecosystems that provide essential services while adapting to climate change impacts. His recent publications reveal a strong trend toward quantifying the performance and economic value of green infrastructure. Research focuses on developing measurement methodologies for ecosystem services, creating circular soil systems, and evaluating the thermal performance of green infrastructure for urban heat mitigation. His work bridges engineering, environmental science, and urban planning to develop practical, evidence-based solutions for climate-resilient cities. Wiener Ingenieurpreis 2017 Energy Globe Österreich im Bereich Wasser 2016 Schorsch 2016 Architekturpreis Best small area Pavillon at EXPO Milano 2015 (as member of team.breathe.Austria) Studium der Landschaftsplanung mit Auszeichnung abgeschlossen 2001 Dr. Scharf has secured significant research funding from multiple sources including the Austrian Research Promotion Agency (FFG), Federal Ministries, EU programs, and private companies. He has led numerous projects including 'Machine learning evapotranspiration estimation,' 'resilientRAIN,' and 'Development of the StreetTREE tree-planting method.' His work emphasizes practical applications that can be implemented in urban settings to address climate challenges. He collaborates extensively with interdisciplinary teams across multiple departments at BOKU and with international partners. Dr. Scharf is actively involved in developing and testing innovative technologies through the Institute of Soil Bioengineering and Landscape Construction. His work includes the development of hydroactive paving systems, moss-based bio-tech-filter facade technology (MossDule project), and vertical greening systems. He contributes to the 'GreenUrbanClimate' research initiative and works closely with the Institute of Sanitary Engineering and Water Pollution Control on integrated water management solutions. His research often involves field testing and real-world implementation of nature-based solutions for urban environments.

George Diemerمشاهده پروفایل

دانشیار

• Sport Economics
• Gambling Markets
• Financial Institutions
• +۳ مورد دیگر

George Diemer is an Associate Professor in the School of Sport, Tourism and Hospitality Management at Temple University. He holds a Ph.D. in Economics from Temple University’s Fox School of Business and has also taught at Chestnut Hill College. His academic work bridges economics and sports, with a strong emphasis on gambling markets and financial systems. Dr. Diemer's research interests lie primarily in sport economics , with a specialized focus on gambling markets and their interaction with financial institutions . He also explores the use of non-parametric probability density functions as tools for detecting corruption in sports and financial settings. His methodological rigor supports integrity-focused economic analysis. His scholarly work has appeared in prominent journals including The American Economist , International Journal of Sport Finance , The Journal of Sports Economics , and The Journal of Gambling Business and Economics . These publications reflect a consistent trend in applying economic theory and statistical modeling to real-world issues in sports and gambling regulation. Dr. Diemer has not been publicly recognized with scientific awards based on the available information. He advises students within his academic domain and contributes to curriculum development in sport and economic education. While specific grant funding is not mentioned, his research output suggests active engagement in empirical economic studies related to sports integrity and financial systems. There is no mention of leadership in labs or research teams in the provided text.

Gildas Glemarecمشاهده پروفایل

پژوهشگر

• Bycatch of protected species
• Gillnet fisheries
• Ecosystem-based fisheries management
• +۳ مورد دیگر

Gildas Glemarec is a Researcher at the National Institute of Aquatic Resources (DTU Aqua), Technical University of Denmark, specializing in ecosystem-based marine management. His work focuses on bycatch mitigation of protected species in fisheries, particularly in gillnet fisheries across the Baltic Sea and North Atlantic. He actively leads international collaborations as Chairman of the Joint OSPAR/HELCOM/ICES Working Group on Seabirds (JWGBIRD) and participates in critical EU-funded projects addressing sustainable fisheries management. His research centers on quantifying and reducing bycatch of seabirds and marine mammals through innovative monitoring techniques, including video-based electronic systems and geospatial analysis of vessel tracking data. Key interests encompass small-scale fisheries management, data limitations in stock assessments, and developing spatial management strategies for protected areas. His work bridges scientific research with policy implementation, particularly regarding EU Marine Strategy Framework Directive compliance. Recent publications (2023-2025) reveal a concentrated effort on bycatch estimation methodologies, with significant contributions to indicator development for ecological sustainability of seafood products. His work demonstrates strong integration of geospatial analytics and field validation, particularly for passive fishing gears. Collaborative outputs with ICES, OSPAR, and HELCOM highlight his role in shaping international bycatch monitoring protocols and mitigation strategies. No specific scientific awards are documented in the available sources. Glemarec accepts PhD students and contributes to capacity building through conference presentations on bycatch monitoring techniques. His grant portfolio includes leadership in MITIBYC (Mitigation and bycatch of protected species, 2023-2027) and participation in five active EU/Danish projects totaling over €2M in funding, focusing on ecosystem-based tools, sustainable fisheries development, and protected species conservation. He operates within DTU Aqua's Section for Ecosystem based Marine Management, leveraging collaborations with ICES, NEAFC, and the Joint OSPAR/HELCOM/ICES Working Group. His research network spans 12 European institutions, with particular emphasis on Baltic Sea fisheries management and cross-border data harmonization for bycatch reduction initiatives.

• Bayesian non-parametric statistics
• Machine learning
• Statistical privacy
• +۵ مورد دیگر

Dr Marco Battiston is a Lecturer (equivalent to Assistant Professor) in Statistics at Lancaster University, UK, based in the School of Mathematical Sciences. His research integrates Bayesian non-parametric methods with machine learning, privacy, and modern data-science challenges. Research Interests Bayesian non-parametric statistics and prior construction Statistical machine learning and graphical models Privacy-preserving data analysis and differential privacy Feature allocation, missing mass, and species sampling Variable selection in high-dimensional regression Across 12 peer-reviewed papers (2017–2025) he has advanced theory and methodology for stochastic block models, disclosure risk assessment, robust variable selection and the estimation of small probabilities in feature-sampling settings. His work appears in top outlets such as Journal of Computational and Graphical Statistics , Statistics and Computing , JMLR , and Annals of Applied Probability . PhD Supervision & Collaboration Battiston is actively supervising doctoral researchers (names not disclosed in the source material) and collaborates with international scholars including F. Ayed, C. Nemeth, S. Favaro, Y. W. Teh, and L. Rimella. Contact Email: m.battiston@lancaster.ac.uk Tel: +44 1524 592850 Office: Fylde College, Lancaster University, LA1 4YF, UK ORCID: 0000-0003-0954-1244

• Non-contact physiological monitoring
• Biomedical Signal Processing
• Critical Care Medicine
• +۳ مورد دیگر

Mirae Harford is a Postdoctoral Clinical Research Fellow and Specialty Registrar in Intensive Care Medicine at the University of Oxford's Nuffield Department of Clinical Neuroscience. Affiliated with the Critical Care Research Group since 2014, she bridges clinical medicine and biomedical engineering through innovative non-contact monitoring technologies. Her academic credentials include: BM BCh (University of Cambridge) MA (University of Cambridge) Postgraduate Diploma DPhil (University of Oxford) MRCP (Membership of the Royal College of Physicians) FFICM (Fellowship of the Faculty of Intensive Care Medicine) Harford's research pioneers non-contact physiological monitoring using video and image-based sensors for critical care applications. She specializes in camera-based skin perfusion assessment to estimate cardiovascular function, with strong emphasis on interdisciplinary collaboration between clinicians and engineers. Her work addresses real-world implementation challenges of non-invasive monitoring in intensive care units. Publication analysis reveals three dominant research thrusts: (1) Development and validation of video-based vital sign monitoring techniques, particularly for skin perfusion and hemodynamic assessment; (2) Systematic evaluation of non-contact monitoring technologies across clinical settings; (3) Investigation of circadian rhythm patterns in critically ill patients using routinely collected physiological data. Her methodological approach combines engineering innovation with rigorous clinical validation. She actively contributes to the Oxford Biomedical Signal Processing Group and Critical Care Research Group, focusing on translational projects that convert engineering solutions into practical clinical tools for intensive care environments.

• Evidence-Based Physiotherapy
• Geriatric Care
• Dementia Research
• +۶ مورد دیگر

Professor Tim Fleiner serves as W2 Professor for Evidence-Based Physiotherapy Care at Ulm University of Applied Sciences since 2024 and leads a research group at the Institute for Geriatric Research, Ulm University Hospital since 2022. His clinical work focuses on dementia, depression, delirium, sarcopenia, frailty, mobility & falls, and physical activity in old age, with notable projects including #GerontopsychiatrieInBewegung at the LVR Clinic Cologne and #Falls Outpatient Clinic at Bethesda and University Hospital Ulm. His educational background includes a Dr. Sportwiss from German Sport University Cologne (2017), MA in Sport and Movement Gerontology (2014), Diploma in Physiotherapy (2010), and Physiotherapy State Examination (2009). 2024-Present: Professor (W2) for Evidence-Based Physiotherapy Care, Ulm University of Applied Sciences 2022-Present: Group Leader, Institute for Geriatric Research, Ulm University Hospital 2017: Dr. Sportwiss, German Sport University Cologne 2014: MA in Sport and Movement Gerontology, German Sport University Cologne Fleiner's research spans geriatric physiotherapy with emphasis on evidence-based interventions for aging populations. His work integrates physical activity monitoring, fall prevention strategies, and movement-based therapies for dementia care. He leads several significant projects including Perturbationstraining zur Sturzprävention, Prometheus-Projekt for prevention in aging, Gerontopsychiatrie in Bewegung collaboration, Chronosense for circadian movement monitoring, and CiMoDem for circadian behavior in dementia. His research bridges clinical practice with scientific investigation, focusing on practical applications that improve quality of life for elderly patients with complex geriatric conditions. Analysis of his 15 most recent publications reveals a strong focus on geriatric physiotherapy interventions, particularly examining physical activity, fall prevention, and dementia care. His work increasingly incorporates technology-based monitoring systems while maintaining clinical relevance. The publications span high-impact journals across geriatrics, rehabilitation, psychiatry, and public health, demonstrating interdisciplinary reach. Recent work shows growing emphasis on circadian aspects of movement behavior, cost-effectiveness of interventions, and implementation of evidence-based practices in real-world settings. His scientific recognition includes: 2017 German Society for Psychiatry, Psychotherapy and Neurology Promotional Award 2019 German Society for Gerontopsychiatry and Psychotherapy Poster Award 2020 Teaching Award from German Sport University Cologne 2020 State Initiative Healthy State of North Rhine-Westphalia Exemplary Project award Fleiner actively supervises Bachelor's, Master's, and PhD theses while serving on editorial boards for Journal of Alzheimer's Disease (2017-2022) and European Review of Aging and Physical Activity (since 2022). He serves as a reviewer for multiple prestigious journals including Alzheimer's Research & Therapy, Journal of Alzheimer's Disease, BMC Geriatrics, and European Review of Aging and Physical Activity. His research is supported by funding from DFG, Auckland Medical Research Foundation, and Deutsche Sporthochschule Köln. He leads multiple research initiatives including the Falls Outpatient Clinic and FallVaccination project at Bethesda and University Hospital Ulm, and collaborates with German Sport University Cologne on the GerontopsychiatrieInBewegung project at LVR Clinic Cologne. His work integrates clinical practice with research through partnerships between academic institutions and healthcare providers, creating translational pathways for evidence-based physiotherapy interventions in geriatric care.

• Epidemiology of infectious diseases
• HIV/AIDS
• Sexually transmitted infection
• +۸ مورد دیگر

Marie-Claude Boily serves as Professor of Mathematical Epidemiology at Imperial College London's School of Public Health within the Faculty of Medicine. Her research employs mathematical modeling, statistical analysis, and empirical studies to investigate infectious disease epidemiology with primary focus on HIV/AIDS and sexually transmitted infections across developing and developed countries. Her core research areas include: Transmission dynamics of HIV in evolving epidemics (particularly in Africa and India) Impact assessment of interventions including HPV vaccination and prevention of mother-to-child transmission Rigorous measure and evaluation frameworks using transmission dynamic models Sexual network structures and behavioral determinants in HIV spread Analysis of her publication record (2000-2009) reveals consistent application of mathematical models to evaluate HIV prevention strategies, with strong emphasis on simulating community trials before implementation. Her work bridges epidemiological theory with public health practice, developing tools for cost-effective intervention assessment in resource-limited settings. Professor Boily actively supervises PhD students Sharmistha Mishra, Branwen Owen, Juan Vesga, Isabel Tavitian-Exley, and Nicolas Van de Velde, while collaborating with research associates across Imperial College London, IARC, U Laval, LSE, and UBC. Her team integrates serial biological and behavioral data with sophisticated modeling to inform HIV prevention policies and trial designs globally.

Andrei Carageaمشاهده پروفایل

پژوهشگر

• Gabor Analysis
• Exponential Bases
• Neural Networks
• +۴ مورد دیگر

Andrei Caragea is a Researcher at the Mathematical Institute for Machine Learning and Data Science (MIDS) within the Faculty of Mathematics and Geography at Katholische Universität Eichstätt-Ingolstadt . His work bridges Gabor analysis , exponential bases , and neural network approximation theory , with side interests in number theory and classical geometry . Education : PhD in Mathematics (2023), Katholische Universität Eichstätt-Ingolstadt Key Collaborators : Prof. Götz Pfander, Felix Voigtlaender, Friedrich Philipp, Dae Gwan Lee His research explores structural limitations in time-frequency representations (Balian-Low theorems for subspaces) and dimension-independent approximation capabilities of complex-valued neural networks. Recent work demonstrates how modReLU-activated networks can overcome the curse of dimensionality for Barron-class classifiers. Publication Trends (2019-2023): 50% focus on Gabor systems and time-frequency invariance 40% on neural network expressivity with complex-valued architectures 10% on exponential basis constructions in signal processing Research Grants : DFG Project (2019-2025): Sampling theory and bases from exponential functions DFG Project (2015-2022): Covariance matrix estimation under sparsity

• Applied Mechanics
• Vehicle Dynamics
• Soil Erosion Modeling
• +۴ مورد دیگر

Antonio Leanza is an Assistant Professor in the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy. His research focuses on Applied Mechanics , Vehicle Dynamics , and Robotics , with a particular emphasis on terrain estimation and autonomous navigation systems. Research Trends Recent publications highlight his work in: Vehicle-terrain interaction modeling Autonomous robotic navigation in agricultural settings Advanced sensor fusion techniques (Kalman filtering, factor graphs) Soil roughness characterization for erosion studies Model-based observers for dynamic systems Multibody system simulations His methodological work bridges mechanical engineering, computational modeling, and robotics applications, particularly in off-road and agricultural environments.

• Statistics
• Randomized Response Techniques
• Survey Sampling
• +۵ مورد دیگر

Pier Francesco Perri is a Full Professor of Statistics (SSD STAT-01/A) at the Department of Economics, Statistics, and Finance 'Giovanni Anania' (DESF) of the University of Calabria (Unical). He has held academic positions since 2002 and coordinates institutional activities such as the National Plan for Scientific Degrees (L-41, Statistics) and editorial roles in journals like Metron and Model Assisted Statistics and Applications . His research focuses on survey methodology, sensitive data estimation, and statistical modeling. Education: Ph.D. in Methodological Statistics (University of Trento, 2002), Honors Degree in Statistical and Actuarial Sciences (University of Calabria, 1997) Perri’s research spans randomized response techniques for sensitive populations, copula modeling for financial data, and inequality index linearization. He explores indirect questioning methods to detect truthfulness and improve survey accuracy, particularly for stigmatized behaviors like abortion, migration, and non-heterosexual identities. His work integrates auxiliary information and complex sampling designs to enhance estimation efficiency. Recent publications emphasize innovations in sample survey traditions, including the 2025 editorial on methodological advancements and 2024 studies on adjusting self-protective behaviors in prevalence estimation. His 2023–2021 research includes logistic regression extensions for randomized response models, prevalence estimates for health behaviors, and crossed model applications for sensitive topics. Earlier work (2020–2000) covers item sum techniques, financial copula modeling, and environmental sensitivity analysis. He serves on editorial boards and institutional committees, including the Italian Statistical Society’s Council and the Ph.D. Teaching Board at Unical. The Laboratorio Statistico Informatico supports his research in statistical computing and survey design.