جست‌وجوی استاد و پژوهشگر

• Political Economy
• Voting Behavior
• Immigration
• +۳ مورد دیگر

Carlotta Berti Ceroni serves as Full Professor and Director of the Department of Economic Sciences at the University of Bologna, operating under scientific-disciplinary sector ECON-01/A (Political Economy). Based at Piazza Scaravilli 2 in Bologna, she maintains active academic engagement with scheduled office hours including exam viewings through 2025. Her research critically examines political economy through empirical analysis of voting behavior, emphasizing how immigration exposure , income stratification , and family structures shape electoral participation. Using precinct-level data, she investigates neighborhood heterogeneity effects and gendered turnout gaps, with recent work focusing on Northern Italy's socio-political dynamics. Her methodology bridges economics and political science to dissect democratic engagement mechanisms. Analysis of her 15 most recent publications reveals three dominant thematic clusters: (1) Immigration-voting nexus studies (2020-2024) exploring proximity effects and ethnic diversity; (2) Income-turnout relationships (2016-2022) analyzing regional disparities and resistance to change; (3) Political persistence frameworks (2009-2014) connecting institutional continuity to economic innovation. These threads consistently address heterogeneity , power structures , and democratic responsiveness across temporal scales.

Pierpaolo Vivoمشاهده پروفایل

استاد

• Random Matrix Theory
• Statistical Mechanics
• Complexity Science
• +۳ مورد دیگر

Pierpaolo Vivo is a Reader in Disordered Systems at King's College London's Department of Mathematics, part of the Faculty of Natural, Mathematical & Engineering Sciences. He holds a PhD from Brunel University (2008) and conducted postdoctoral research at ICTP Trieste and LPTMS Orsay. His research focuses on Random Matrix Theory, Statistical Mechanics applied to socio-economic systems, and complexity science in legal frameworks. Key research interests include eigenvalue statistics, financial stability modeling, and legal system complexity. His work bridges physics, economics, and law, with recent projects exploring phase transitions in debt recycling and network-based legal visualization tools like Graphie. Major achievements include a UKRI Future Leaders Fellowship (2019) and over 50 peer-reviewed publications. He leads projects on legal system modeling and collaborates internationally on interdisciplinary topics.

Guido Kuersteinerمشاهده پروفایل

استاد

• Theoretical Econometrics
• Applied Econometrics
• GMM Estimation
• +۴ مورد دیگر

Professor Guido Kuersteiner is a leading academic in the Department of Economics at the University of Maryland . Holding a PhD from Yale University (1997), he has previously taught at prestigious institutions including MIT, Boston University, UC Davis, and Georgetown University. His research spans theoretical and applied econometrics , with focus areas in GMM estimation, spatial models, causal inference, and bias correction techniques.

Barbara Carminatiمشاهده پروفایل

استاد

• Access Control
• Adaptable Collaboration
• Compatibility-driven
• +۱۶ مورد دیگر

Barbara Carminati is a Professor at the Department of Theoretical and Applied Science, University of Insubria, Italy. Her work focuses on security, privacy, and trust management in decentralized systems, particularly online social networks, IoT, and emerging technologies like blockchain and digital twins. She has contributed extensively to access control, risk assessment, and collaborative frameworks. Her research spans trust modeling , privacy-preserving mechanisms , and malware detection , with a strong emphasis on decentralized social networks and UAV security . She actively explores the application of blockchain for secure workflows and information sharing. Recent publications highlight her engagement with large language models for security optimization, IoT botnet detection , and metadata leakage analysis . Her work bridges theoretical foundations with practical implementations in cybersecurity, social network management, and edge computing. Contact: barbara.carminati@uninsubria.it

• Distributed Systems
• Networking
• Operating Systems
• +۷ مورد دیگر

Dwight Makaroff is a Professor in the Department of Computer Science at the University of Saskatchewan . He leads the DISCUS research group , focusing on distributed systems, networking, and performance analysis. Makaroff holds a Ph.D. from the University of British Columbia (1998), an M.Sc. (1988), and a B.Comm. (1985) from the University of Saskatchewan. Research Interests: Distributed Data Processing & Hadoop Network Support for Multiplayer Games Information-Centric Networking Energy Efficiency in Mobile Devices Multicore Architectures Wireless Network Security Sensor Networks & Data Aggregation Teaching: Courses include Operating Systems Principles , Topics in Parallel & Distributed Systems , and advanced systems courses. He coordinated the ACM ICPC programming contest teams for over a decade. Committees: Graduate Committee Chair (2013-2015) University Council Member (2006-2014) Program Committee roles at IEEE/ACM conferences (IPCCC, CASCON, etc.) Recent Research Highlights: IoT security via blockchain Wearable device communication challenges Caching strategies for information-centric networks

Alexandra Bugalho De Mouraمشاهده پروفایل

دانشیار

• Actuarial Science
• Optimal Reinsurance
• Climate Risk Analysis
• +۳ مورد دیگر

Alexandra Bugalho De Moura is an Associate Professor of Statistics and Actuarial Sciences at the Department of Mathematics, ISEG-University of Lisbon. She coordinates curricular units in Actuarial Sciences, Statistics, and Data Analysis, and leads the Master's in Actuarial Sciences program. Her academic journey includes a PhD in Mathematical Engineering from Politecnico di Milano (2007), a BSc in Applied Mathematics and Computing from IST, University of Lisbon (2001), and a Master’s in Actuarial Sciences from ISEG (2018). Her research focuses on actuarial sciences, particularly optimal reinsurance with dependencies, and climate risk analysis using climate and insurance loss data. Previously, she contributed to computational hemodynamics modeling cerebral aneurysms and blood flow dynamics. She has led an FCT-funded project on optimal reinsurance and supervised over 30 master’s theses in actuarial risk theory and data science applications. Professional experience includes roles as Post-Doctoral Fellow at CEMAT (2007–2014) and teaching positions since 2000. She has published extensively in top journals like European Actuarial Journal and Computer Methods in Biomechanics and Biomedical Engineering , with over 20 peer-reviewed articles and book chapters. Her work bridges mathematical rigor with practical applications in insurance risk modeling, climate-related financial risks, and biomedical engineering. Current research explores dependencies in reinsurance treaties and climate-driven insurance loss patterns.

• Applied probability theory
• Markov chain Monte Carlo methods
• Spatial statistics
• +۴ مورد دیگر

Jesper Møller is a Professor in the Department of Mathematical Sciences at Aalborg University's Faculty of Engineering and Science, specializing in Statistics and Mathematical Economics. His research focuses on advanced statistical methodologies with applications across various scientific domains. His educational background includes extensive training in mathematical sciences, though specific degree details aren't provided in the current materials. His research interests span: Applied probability theory Markov chain Monte Carlo methods (MCMC) Spatial statistics Stochastic geometry Stochastic simulation Point process modeling Professor Møller's recent publication record shows consistent productivity with 239 research outputs including journal articles, reports, and book chapters. His work demonstrates strong focus on spatial point processes, Bayesian inference methods, and applications of stochastic geometry. The research trends indicate increasing sophistication in modeling complex spatial patterns and developing computational methods for statistical inference. His scientific contributions have been supported by numerous research projects, with 28 projects documented including the current "Peculiar Distribution Functions and Interesting Stochastic Processes" (2022-2026). His work has generated significant scholarly impact with citations across multiple disciplines. Professor Møller has supervised 8 PhD students and maintains active collaborations across international research networks. His current projects suggest continued research activity in developing novel statistical methodologies for complex spatial data analysis with applications in materials science, neuroscience, and environmental statistics.

Oliver Schaerمشاهده پروفایل

استادیار

• Business Analytics
• Predictive Analytics
• Time Series Forecasting
• +۱۳ مورد دیگر

Oliver Schaer is an Assistant Professor in the Department of Decision Sciences & MIS at LeBow College of Business, Drexel University. He holds a PhD in Management Science and an MSc in Marketing Analytics from Lancaster University, UK, and brings extensive industry experience from his role as a project manager at a global health technology company in Switzerland. His research centers on predictive analytics in business operations and marketing, with a focus on improving decision-making through data-driven forecasting. Key areas include new product forecasting, supply chain forecasting, and leveraging online data such as user-generated content and pre-release search traffic for competitive intelligence. He has developed the R package diffusion to support forecasting of product life-cycle data, demonstrating strong technical and applied expertise. Oliver's recent publications analyze trends in forecasting software and explore advanced methods for integrating digital signals into forecasting models. His work appears in journals such as Production and Operations Management , International Journal of Forecasting , and Foresight , as well as ORMS-Today survey reports. His research trend shows a consistent focus on practical forecasting tools, software evaluation, and data integration for operational and marketing decisions. Member, INFORMS Member, International Institute of Forecasting Visiting Research Fellow, Centre for Marketing Analytics and Forecasting, Lancaster University Oliver collaborates closely with industry, translating academic insights into practical tools for managers. He has not advertised any formal PhD or Master’s students, but actively mentors through research collaboration and software development. His work is supported by his academic affiliations and industry engagement. He is involved in the development and maintenance of the open-source R package diffusion , which serves as a platform for forecasting with diffusion models, indicating leadership in computational tools for analytics.

Markus Schartauمشاهده پروفایل

پژوهشگر

• Marine Biogeochemical Modeling
• Plankton Dynamics
• Ocean Ecosystem Modeling
• +۷ مورد دیگر

Markus Schartau is a Researcher in the Biogeochemical Modelling Research Unit at GEOMAR Helmholtz Centre for Ocean Research Kiel, where he has worked since 2013. His research focuses on marine biogeochemical modeling, plankton dynamics, and parameter optimization in ecosystem models. With over 69 publications spanning two decades, Schartau has established himself as a leading expert in marine biogeochemical modeling, particularly in the areas of model calibration, mesocosm experiment simulation, and plankton community dynamics. His research interests encompass uncertainty and trustworthiness of biogeochemical model results, species composition and size frequency structures of plankton, methods of parameter optimization and model selection, simulations of mesocosm experiments, physiological and ecological variations of plankton, and temporal and spatial variations of organic substances in coastal ocean areas and estuaries. Schartau's work often bridges theoretical modeling with experimental observations to improve our understanding of marine biogeochemical processes. The analysis of his recent publications (2020-2024) reveals a strong focus on marine biogeochemical modeling, with particular emphasis on plankton dynamics, carbon cycling, and the impacts of environmental change. His work spans multiple spatial scales from coastal systems to the global ocean and integrates approaches from data science, biogeochemistry, and ecosystem modeling. Key themes include model calibration techniques, mesocosm experiment analysis, marine particle dynamics, and the effects of ocean acidification on biogeochemical processes. Schartau actively participates in major research projects including OceanNETs (EU project), BASS (funded by DFG), ICEBERG (EU project), and μARC (funded by BMBF), demonstrating his integration into the international marine science community. His collaborative approach is evident in his extensive co-authorship network across multiple institutions and countries. His career trajectory shows progression from postdoctoral positions at Stony Brook University and the Alfred Wegener Institute to permanent research scientist roles at Helmholtz-Zentrum Geesthacht (now HEREON) and finally at GEOMAR. This path reflects his growing expertise and recognition in the field of marine biogeochemical modeling.

Panagiotis Kyriakoulakosمشاهده پروفایل

استادیار

• Computer Animation
• Digital Media
• Applied Aesthetics of Animation
• +۴ مورد دیگر

Panagiotis Kyriakoulakos is an Assistant Professor in Computer Animation at the Department of Product and Systems Design Engineering, University of the Aegean. He previously served as Lecturer at the same department (2010-2018) and Adjunct Lecturer at Paris 1 University (1987-1992). His academic career spans over 35 years with expertise in digital arts, animation, and new media. Education: Electrical Engineering (Aristotle University of Thessaloniki), DEA in Cinema/Television (Paris I), PhD in Art Sciences (Paris X). Professional Experience: Managing Director at Post Reality (1994-2006), New Media Director at PLD Production (2006-2010), awarded SCAM (1991) and Chevalier des Palmes Academiques (2014). Research Focus: Creative processes in animation, digital aesthetics, interactive systems, and cultural heritage projects like ARCHEOGUIDE and HIST3D. His research explores intersections between technology and artistic expression, emphasizing entrepreneurship in creative industries. Key contributions include the first Greek 30-minute computer-animated TV special Alexandra Meets the Space Toons (2003) and the Homeweb VOD platform pilot (2010). Dr. Kyriakoulakos coordinates the XARTS International Conference/School since 2013 and leads the Interactive Systems Design Lab. His work bridges academic research with practical applications through projects like the HIST3D framework and Paris-based research grants (2013). Awards: SCAM Video Magazine Editor Award (1991), Paris Research Grant (2013), French Academic Palms (2014). Labs/Teams: Interactive Systems Design Lab (since 2000), XARTS Conference Leadership. Publications: Over 30 articles, 3 books including 70 Years of Greek Animation (2016) and foundational texts on animation techniques.

• Data Analytics
• Critical Infrastructure Management
• Cybersecurity
• +۳ مورد دیگر

Panos Melas is a Researcher and Engineer at the IT Innovation Centre within the School of Electronics and Computer Science at the University of Southampton. He holds a PhD in Computer Science (High Performance Computing) from the same institution (2000). His work focuses on data analytics, cybersecurity, critical infrastructure resilience, and urban safety. He contributes to projects like SPYDERISK, addressing privacy risks in distributed systems and decision-support frameworks for infrastructure management. Research interests include risk management in adaptive ICT systems, crime data analysis for urban safety, and grid infrastructure interoperability. His expertise spans technical leadership in interdisciplinary teams, with publications in conferences and reports on topics such as system trustworthiness and human perception of safety.

Steven Wofsyمشاهده پروفایل

استاد

• Atmospheric Chemistry
• Climate Science
• Environmental Science
• +۳ مورد دیگر

Steven Wofsy is the Abbott Lawrence Rotch Professor of Atmospheric and Environmental Science at Harvard University's John A. Paulson School of Engineering and Applied Sciences. His research focuses on atmospheric chemistry, climate science, and remote sensing, particularly concerning methane emissions and stratospheric processes. His work integrates cutting-edge technologies like the MethaneAIR airborne spectrometer and MethaneSAT mission to quantify emissions from the oil and gas sector, wildfires, and other sources. He leads the Wofsy Group, advancing methodologies for multi-scale atmospheric measurements and top-down emission inventories. Key research interests include: Climate feedback mechanisms and carbon cycle dynamics Methane emissions mitigation strategies Remote sensing techniques for atmospheric pollutants Stratospheric-tropospheric exchange processes Recent studies emphasize the disproportionate contribution of small methane sources to total emissions, with applications to policy and inventory improvements. His work bridges atmospheric science, engineering, and environmental policy, addressing global climate challenges.

Ashkan Yousefpourمشاهده پروفایل

مدرس

• Computer Science
• Fog Computing
• Edge Computing
• +۶ مورد دیگر

Ashkan Yousefpour is a Computer Scientist with a PhD from the University of Texas at Dallas , where he contributed to the FLOW project. He served as a Lecturer and research assistant at UT Dallas, while also working as a Visiting Researcher at UC Berkeley . His research spans Fog/Edge Computing , Federated Learning , Reinforcement Learning , and Distributed Systems . Current Role: AI Scientist at Meta Academic Affiliation: Department of Computer Science, University of Texas at Dallas Research Interests include: Minimizing IoT service delay through fog offloading Developing failure-resilient distributed neural networks (ResiliNet) Advancing privacy-preserving machine learning (Opacus, Papaya) Optimizing traffic flow with autonomous vehicles via reinforcement learning Advising : Supervised multiple graduate students including Ashish Patil , Harshavardhan Nalajala , and Brian Nguyen . Collaborated with researchers like Professor Alexandre Bayen (UC Berkeley) and Professor Cathy Wu (MIT) on traffic control frameworks such as Flow .

Ashwinkumar Venkatanaga Machanavajjhalaمشاهده پروفایل

دانشیار مدعو

• Differential Privacy
• Data Privacy
• Secure Multi-Party Computation
• +۳ مورد دیگر

Ashwinkumar Venkatanaga Machanavajjhala is an Adjunct Associate Professor of Computer Science at Duke University's Trinity College of Arts & Sciences since 2024, with prior roles as Associate Professor (2018-2024) and Assistant Professor (2012-2018). His research focuses on differential privacy, secure multi-party computation, and privacy-preserving data analysis frameworks. Education: Ph.D. from Cornell University (2008) His work spans privacy-preserving algorithm design, synthetic data generation, and privacy-utility trade-offs. Recent research themes include differential privacy for aggregate queries, foreign key constraints in database systems, and policy-aware privacy frameworks . Grant projects like RAISE: C-Accel Pilot and RAPID: Poirot highlight his leadership in privacy and data security initiatives. Scientific contributions include groundbreaking work on ϵktelo for differentially private algorithms, DP-Sync for update pattern privacy, and Blowfish Privacy for customizable privacy definitions. Awards include the NSF CAREER Award (2013) for early-career impact. In outreach, he led the Bass Connections Faculty Team (2018-2019) addressing vaccine misinformation in Durham. Teaching includes COMPSCI 891: Special Readings in Computer Science (Summer 2022).

Chad Heinsمشاهده پروفایل

دانشیار

• Biodiversity
• Biogeography
• Arachnology
• +۶ مورد دیگر

Chad Heins is an Associate Professor in the Department of Biology at Bethany Lutheran College, where he has been teaching since January 2000. His academic work is deeply rooted in field biology, with strong affiliations to biodiversity documentation projects through iNaturalist and BugGuide. His research interests center on biodiversity and biogeography , particularly in the context of spider species distribution across Minnesota and raptor migration patterns. He developed a preliminary checklist of Minnesota’s spiders due to the absence of a published list, becoming a regional expert in the process. He actively involves students in diverse research areas, including aquatic macroinvertebrates, reptiles, amphibians, plants, spiders, owls, and loons. The publications listed reflect his expertise in arachnology and ornithology, showing consistent contributions to state-level wildlife knowledge and ecological observations. His work bridges academic research with public science engagement. Scientific Awards: No awards listed. Prof. Heins mentors students through independent research and coursework, supporting a wide range of biological investigations. He coordinates the Bethany Hawkwatch, contributing valuable migration data to Hawkcount. His work is supported by collaborations with the Minnesota DNR and citizen science platforms. He leads research initiatives focused on biological inventories and ecological monitoring, including a project aggregating spider observations from iNaturalist for Minnesota. These efforts support conservation planning and taxonomic clarity.