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Alicja BonkView profile

Researcher

• Marine Geology
• Paleoenvironmental Reconstruction
• Climate Change
• +12 more

Dr. Alicja Bonk is a Researcher at the University of Gdańsk, affiliated with the Institute of Geography and the Department of Geomorphology and Quaternary Geology. Her work focuses on high-resolution paleoenvironmental reconstructions using varved lake sediments to understand long-term climate and human impacts in northern and central Poland. Her research interests include marine geology, limnology, climate change, eutrophication, fire history, and Quaternary environmental transformations. She investigates processes such as varve formation, sediment chronology, and anthropogenic vs. natural environmental changes over the last 2000 years. Her expertise spans geochemistry, sedimentology, and paleoclimatology. The recent publications highlight a strong focus on varved sediments from lakes in Poland (e.g., Lake Gorzyńskie, Lubińskie, Żabińskie, Jaczno) as high-resolution archives of environmental change. Themes include fire-climate-human interactions, eutrophication, sediment fluxes, and methodological challenges in geochemical analysis. Her work bridges paleoecology and modern ecology, emphasizing interdisciplinary collaboration and data integration. ORCID: 0000-0001-9863-9408 Google Scholar: Profile ResearchGate: Profile Dr. Bonk has been actively involved in major research initiatives, including the PAGES Early-Career Network, and has collaborated extensively with institutions such as the Polish Academy of Sciences and international research groups. She previously held a PostDoc position (2017–2019) and completed her PhD at the University of Gdańsk. She contributes to advancing methodological rigor in ²¹⁰Pb and ¹⁴C dating calibration using varve chronologies. She is part of a dynamic research team conducting long-term limnological monitoring and paleoenvironmental reconstructions, particularly in the Mazurian Lakeland and central Polish lake systems. Her lab work integrates field sediment coring, microscopic varve analysis, geochemical scanning (XRF), and multivariate statistical modeling.

Mohit PalView profile

Research Fellow

• Cryptography
• Finite Fields
• Boomerang Uniformity
• +7 more

Mohit Pal is a Postdoctoral Fellow at the Department of Informatics, University of Bergen, Norway. He is affiliated with the Faculty of Mathematics and Natural Sciences and conducts research under the mentorship of Prof. Lilya Budaghyan. He holds a Ph.D. in Mathematics from the Indian Institute of Technology Jammu, where he was supervised by Dr. Sartaj Ul Hasan. Education: B.Sc. in Mathematics, University of Allahabad (2011–2014) M.Sc. in Mathematics, Indian Institute of Technology Kharagpur (2014–2016) Ph.D. in Mathematics, Indian Institute of Technology Jammu (2018–2021) Visiting Student, Indian Institute of Technology Delhi (2018–2019) Visiting Student, Indian Statistical Institute Delhi (2022) His research lies at the intersection of cryptography and finite fields, focusing on boomerang uniformity, differential uniformity, APN and PN functions, permutation polynomials, and arithmetization-oriented cryptographic primitives . His work contributes to the theoretical foundations of symmetric cryptography and algebraic design of secure functions. He has published in leading journals such as Designs, Codes and Cryptography , IEEE Transactions on Information Theory , and Advances in Mathematics of Communications . His recent publications explore connections between generalized differential properties and cryptographic robustness, particularly in odd characteristic fields. Scientific Awards and Recognition: Reviewer for top-tier journals including IEEE Transactions on Information Theory , Designs, Codes and Cryptography , and Applicable Algebra in Engineering, Communication and Computing . Active participant in major international workshops such as Asiacrypt, Boolean Functions and Their Applications (BFA), and SETA. Erdős Number: 3 (via Sartaj Ul Hasan and Pantelimon Stănică). He has advised no students to date but has contributed to research mentoring through collaboration. He taught INF-143A: Applied Cryptography at the University of Bergen in 2024, instructing 84 students at undergraduate and master’s levels. His research has been supported through postdoctoral funding at the University of Bergen and prior project fellowships at IIT Jammu and Harish-Chandra Research Institute. He is currently engaged in advancing the theory of arithmetization-friendly cryptographic functions, with implications for zero-knowledge proofs and secure computation. Laboratories and Research Teams: Mohit Pal is part of the cryptography research group at the Department of Informatics, University of Bergen, collaborating closely with Prof. Lilya Budaghyan and Dr. Chunlei Li. His work integrates into broader efforts on algebraic methods in modern cryptography, particularly in the context of post-quantum and efficient cryptographic design.

Stephanie EdwardsView profile

Professor

• Complex Analysis
• Graph Theory
• Combinatorics
• +3 more

Dr. Stephanie Edwards is a Professor of Mathematics and Department Chair at Hop College since 2018. She teaches courses in calculus, statistics, multivariate mathematics, analysis, and complex analysis. Education: Ph.D. in Mathematics (Complex Analysis) from University of Wisconsin-Madison (1998), B.S. in Mathematics and Statistics from Miami University (1991). Research Interests: Dr. Edwards specializes in complex function theory , particularly the distribution of zeros of derivatives of real entire functions of finite order. Her work extends the classical Pólya and Wiman conjectures using modern computational tools to analyze polynomial curvature, level sets, and critical point behavior. Publications & Research Trends: Her research spans complex analysis, graph theory, and combinatorial design. Notable work includes visualizing polynomial curvature, multidesigns for complete graphs, and counter-examples to mathematical conjectures. Her articles often integrate theoretical insights with computational methods. Scientific Awards & Grants: NSF grant (2010–2015) for increasing women's participation in STEM. Great Lakes Colleges Association grant (2012) for graph theory research. American Institute of Mathematics workshop participant (2011). Advising & Service: She mentors students in research projects, organizing conference trips (MathFest, Joint Mathematics Meetings, Nebraska Conference). She serves as president of Pi Mu Epsilon and former associate editor for the Mathematics Magazine, with leadership roles in major mathematical societies.

• Biostatistics
• Neuroimaging
• Functional Connectivity
• +7 more

Dustin Pluta is an Assistant Professor in the Department of Biostatistics, Data Science, & Epidemiology at the School of Public Health, Augusta University. His academic work bridges biostatistics, neuroimaging, and data science, with a focus on developing advanced statistical methods for neuroscience and public health applications. Education: Ph.D. in Statistics, University of California, Irvine, 2020 M.S. in Applied Statistics, California State University, Long Beach, 2015 M.A. in Mathematics, University of California, Davis, 2008 His research interests lie at the intersection of biostatistics , functional brain connectivity , Bayesian modeling , and imaging genetics . He develops and applies statistical techniques to improve the quality and interpretability of neuroimaging data, particularly in the context of mental health and addiction behaviors. His work often involves Gaussian processes, penalized regression, and multivariate association testing. The recent publications reflect a strong trend in neuroimaging statistics , with emphasis on enhancing trial-level ERP analysis, modeling dynamic functional connectivity, and integrating genetic and brain imaging data. These works span disciplines including neuroscience, psychiatry, and biostatistics, demonstrating methodological innovation and application to real-world health problems such as e-cigarette use vulnerability. Scientific Awards and Honors: Distinguished Student Paper Competition Award, ENAR, International Biometric Society, 2018 Student Paper Competition Award, Joint Statistical Meetings, Statistics in Imaging, 2018 Robert L. Newcomb Memorial Endowed Graduate Student Award, UC Irvine, 2016 Summer Fellowship, UC Irvine, 2016 Chair’s Award, UC Irvine Department of Statistics, 2015 Dustin Pluta is actively involved in academic service, including serving as Committee Chair of the Journal Club and participating in faculty hiring and departmental meetings. He is also a reviewer for the journal Psychophysiology . He teaches graduate courses such as Applied Linear Models , Modern Methods of Multivariate Analysis , and the Data Science Capstone . While specific grant funding is not listed, his research output suggests active engagement in sponsored scholarly work. He contributes to a collaborative research environment within the Department of Biostatistics, Data Science, & Epidemiology, where interdisciplinary projects involving neuroscience, public health, and data science are central to the academic mission.

Hongjian ShiView profile

Researcher

• Statistics
• High-dimensional Statistics
• Nonparametric Statistics
• +3 more

Hongjian Shi is a postdoctoral researcher at the Chair of Mathematical Statistics under Prof. Drton at the Technical University of Munich , affiliated with the TUM School of Computation, Information and Technology (CIT) . His research focuses on high-dimensional and nonparametric statistical methods, particularly for measuring stochastic dependence and independence testing using rank-based approaches. Education : Ph.D. in Statistics from the University of Washington (2021), advised by Fang Han. Research Interests : Center-outward ranking, multivariate independence, conditional dependence coefficients, and universal inference in Gaussian mixture models. Recent Work : Develops distribution-free tests for multivariate independence, extending classical rank statistics to modern high-dimensional settings. His publications in journals like Bernoulli , Journal of the American Statistical Association , and Biometrika highlight his contributions to nonparametric statistical theory. Contact : hongjian.shi@tum.de

Craig S. HoodView profile

Professor

• Ecology
• Evolution
• Functional Morphology
• +7 more

Craig S. Hood is the E. Letitia Beard Distinguished Professor of Biological Sciences and Director of the Environment Program at Loyola University New Orleans. He joined the Department of Biological Sciences in 1986 and played a foundational role in establishing the Environmental Studies Minor Program in 1989. Education: Ph.D., Texas Tech University (1986) M.A., California State University, Fullerton (1981) B.A., California State University, Fullerton (1977) His research expertise spans ecology, evolution, functional morphology, and multivariate statistics, with a focus on ecological and evolutionary patterns in mammals, wetland plants, and vertebrates. Recent and ongoing studies include conservation biology of bats, spatial ecology of wetland flora, and morphometric analysis using video-based imaging and statistical tools. Dr. Hood’s educational philosophy emphasizes mastering fundamental knowledge in biology, chemistry, physics, and mathematics while leveraging modern information technologies for research. He teaches courses in Investigating Nature , Biology of Organisms , Evolution , and Comparative Vertebrate Anatomy . Scientific Awards: E. Letitia Beard Distinguished Professorship He contributes to interdisciplinary environmental initiatives and advocates for people-centered learning in the Information Age.

Marco BarassiView profile

Associate Professor

• Time Series Econometrics
• Structural Changes
• Non-stationary Time Series Models
• +5 more

Marco Barassi is an Associate Professor in Econometrics at the Department of Economics, Birmingham Business School, University of Birmingham. He joined the Department in September 2001 as a Lecturer in Econometrics and has established himself as a prominent researcher in time series econometrics with particular expertise in structural changes and non-stationary models. Dr. Barassi received his PhD from Imperial College London and holds an MSc from Birkbeck College. His academic journey reflects a deep commitment to advancing econometric methodologies and their applications in real-world economic problems. His research focuses on applied time series econometrics with particular emphasis on non-stationary time series models, long memory models, and non-linear models. His work spans diverse application areas including environmental economics (particularly CO2 emissions analysis) and financial economics (including interest rate modeling and market efficiency). This dual focus demonstrates his ability to bridge theoretical econometric advances with pressing real-world economic issues. An analysis of his recent publications reveals a consistent pattern of sophisticated methodological contributions applied to significant economic questions. His work frequently examines structural breaks, long memory properties, and nonlinear relationships across diverse contexts from energy markets to climate change impacts. The breadth of his research demonstrates how advanced time series techniques can illuminate complex economic phenomena. Dr. Barassi teaches Econometric Theory at the undergraduate level and offers specialized courses including Econometrics with Financial Applications at the MSc level in Money Banking and Finance and Mathematical Finance programs. His teaching reflects his research expertise, providing students with both theoretical foundations and practical applications of modern econometric techniques. As Programme Director for the BSc Mathematical Economics and Statistics and BSc Economics with Languages and Economics Joint Honours programs, Dr. Barassi plays a significant role in shaping the academic experience for undergraduate students at Birmingham Business School.

Francis HuiView profile

Associate Professor

• Ecological Statistics
• Longitudinal and Spatio-Temporal Data Analysis
• Mixed Effects Models
• +5 more

Francis Hui is an Associate Professor in Statistics at the Research School of Finance, Actuarial Studies and Statistics (RSFAS), The Australian National University (ANU), specializing in ecological statistics, longitudinal data analysis, and statistical computing. His work bridges methodological advancements with practical applications in environmental science, actuarial studies, and multivariate data analysis. Education: PhD in Statistics from the University of New South Wales (2015) BSc/BA (First Class Honours, University Medal) from the University of New South Wales (2012) Research Interests: Approximate likelihood methods for estimation and inference Ecological statistics and joint species distribution modeling Dimension reduction and model selection for complex data Variational approximations and semiparametric regression Spatio-temporal and multivariate longitudinal data analysis Publication Trends: Francis's recent work focuses on robust statistical methods for ecological modeling, including generalized linear mixed models, composite likelihood techniques, and dimension reduction. His research also explores fair actuarial models for retirement outcomes and computational efficiency in handling large-scale environmental datasets. Projects: Current projects include developing modern statistical methods for clustering community ecology data, enhancing predictive accuracy in spatio-temporal models, and creating scalable tools for multivariate abundance data analysis. Software: He has contributed to R packages such as assam , COQUE , HPGEE , and gllvm , which implement advanced statistical techniques for ecological and longitudinal data.

• Financial Mathematics
• Actuarial Science
• Statistical Analysis
• +6 more

Assoc. Prof. Jan Hurt, CSc. is an Associate Professor at the Faculty of Mathematics and Physics , Charles University , Prague, Czech Republic. He holds leadership as Head of the Department of Financial and Actuarial Mathematics and is affiliated with the Department of Probability and Mathematical Statistics . With over two decades of teaching experience, Prof. Hurt specializes in computational finance, actuarial modeling, and statistical inference using Mathematica . Department of Financial and Actuarial Mathematics (Head) Department of Probability and Mathematical Statistics Faculty of Mathematics and Physics, Charles University His research focuses on Financial Mathematics , Actuarial Science , and Computational Statistics . He has developed extensive Mathematica -based educational resources for courses like Financial Management, Risk Measures, and Multivariate Analysis. His work spans Portfolio Optimization , Epidemiological Modeling , and Statistical Inference . Prof. Hurt has supervised numerous student defenses and integrated computational tools into actuarial education. He actively contributes to academic conferences, including the Wolfram Technology Conference and Morgan Stanley Quantitative Finance Conference . As a Mathematica license administrator for MFF and CERGE, he supports institutional software infrastructure.

• Applied Statistics
• Geology
• Materials Science
• +3 more

Dr. Eleanor Stillman is a Senior Lecturer in Probability & Statistics at the School of Mathematical and Physical Sciences, University of Sheffield, where she has been a faculty member since 1987 after completing both her BSc and PhD at the institution. Her career exemplifies deep institutional commitment and interdisciplinary impact across scientific domains. Her educational foundation at Sheffield enabled her specialization in applied statistics, with research focusing on geological and archaeological applications (particle size modeling for sediment transport and cereal landrace analysis) and materials science (composite strength, glaze design, manufacturing process control). She also pioneers statistical education through computer-assisted learning tools and studies on school-university transitions. Analysis of her 2016-2024 publications reveals three dominant threads: archaeological morphometrics (geometric analysis of ancient grains), industrial quality control (multivariate monitoring of tool wear and manufacturing), and biological/educational applications (zebrafish breeding statistics, school outreach programs). This demonstrates remarkable versatility in solving real-world problems from prehistoric agriculture to modern industry. Her professional recognition includes: Chartered Statistician designation from the Royal Statistical Society Dr. Stillman has secured significant research funding as Coinvestigator on EPSRC grants including Simulation Tools for Automated and Robust Manufacturing and Quantitative characterisation of particle clustering in MMCS . She actively shapes statistical practice through service on the University's MASH steering committee and as an Associate Consultant to the Statistical Services Unit for training and ethical review. Within the School, she contributes to the Mathematical and Statistical Modelling research group, which drives collaborative projects bridging theoretical statistics with geological, archaeological, and industrial challenges.

Bertil WegmannView profile

Lecturer

• Statistics
• Machine Learning
• Biomedical Data Analysis
• +3 more

Bertil Wegmann is a Lecturer at the Department of Computer Science (IDA) , Linköping University. He is affiliated with the Statistics and Machine Learning (STIMA) division, where he contributes to research and education in modern data analysis.

Efthymia NikitaView profile

Assistant Professor

• Bioarchaeology
• Biocultural Anthropology
• Osteoarchaeology
• +3 more

Efthymia Nikita is an Assistant Professor in Bioarchaeology at The Cyprus Institute's Science and Technology in Archaeology and Culture Research Center (STARC). She holds a BA in Archaeology from Aristotle University of Thessaloniki and a PhD in Biological Anthropology from the University of Cambridge. Her research focuses on biocultural approaches to ancient populations, including mobility, health, diet, and osteoarchaeological methodology. She has authored over 65 articles and book chapters, including a textbook honored by the American Publishers Awards. She currently co-edits the Encyclopedia of Archaeology (Elsevier) and serves on editorial boards for Journal of Archaeological Science and Archaeological and Anthropological Sciences . Her work emphasizes refining methods for studying commingled remains and activity markers, with recent contributions to bioarchaeological databases and software tools for skeletal analysis. Her research spans Mediterranean and Middle Eastern populations, with projects in Cyprus, Greece, Sicily, and Tunisia. Notable themes include demographic patterns, dental calculus analysis, and genetic discontinuity in historical communities. She has led excavations and osteological studies, integrating statistical methods and digital technologies to advance archaeological knowledge. Education: Bachelor of Arts (Archaeology), Aristotle University of Thessaloniki Doctor of Philosophy (Biological Anthropology), University of Cambridge Key Research Themes: Mobility and demography in ancient populations Osteoarchaeological methodology (e.g., sex/age estimation algorithms) Health and diet reconstruction through skeletal and dental analysis Digital tools for archaeological data management Awards: Honorable Mention, American Publishers Awards for Osteoarchaeology: A Guide to the Macroscopic Study of Human Skeletal Remains Lab/Team Affiliations: Director of STARC's Osteoarchaeological Research Programs Collaborator with international institutions (e.g., British School at Athens, American School of Classical Studies)

Martin B. LagoeView profile

Professor

• Micropaleontology
• Petroleum Geology
• Stratigraphy
• +4 more

Dr. Martin B. Lagoe (1951-1995) was a Professor of Earth and Planetary Sciences at The University of Texas at Austin, affiliated with the Jackson School of Geosciences. A renowned micropaleontologist, he specialized in applying quantitative methods to stratigraphic and paleoceanographic problems, bridging academia and industry. His career spanned exploration geology at ARCO and academic roles, including a Visiting Professorship at Aarhus University (Denmark, 1993). Education : BS in Geology (Rensselaer Polytechnic Institute, 1973), MS (University of Wisconsin-Madison), PhD (Stanford University, 1980). Research : Focused on Neogene/Pliocene climate dynamics, quantitative biostratigraphy, and micropaleontological applications in petroleum exploration. His work spanned regions from Alaska to the Gulf of Mexico. Lagoe pioneered courses in quantitative stratigraphy and supervised 12 graduate students (3 PhD, 9 MA). He earned the Houston Oil and Minerals Faculty Excellence Award (1994-95) and was actively involved in professional societies (SEPM, AAPG, GSA), serving on editorial boards and conference committees. His legacy includes over 30 publications and a dedicated 'extended family' of students. Outside academia, Lagoe was celebrated for his culinary expertise and mineral collecting hobby, often hosting gatherings and showcasing specimens. His interdisciplinary collaborations with UT’s Institute for Geophysics and institutions like Rice University further enriched his research impact.

Annika TillanderView profile

Associate Professor

• Public Health
• Data Science
• Statistics
• +3 more

Annika Tillander is an Associate Professor at Linköping University, affiliated with the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science (IDA). Her research focuses on public health, environmental health, and statistical methodologies, with a particular emphasis on workplace well-being and sustainable lifestyles. She has contributed to studies on physical activity promotion in office settings, high-dimensional statistical models, and environmental impacts of outdoor workspaces. Her academic background includes expertise in data science and epidemiology, reflected in her interdisciplinary publications. She collaborates widely, as evidenced by her co-authored papers in journals like Frontiers in Public Health and International Journal of Environmental Research and Public Health . Dr. Tillander is part of the STIMA division, which emphasizes modern data analysis and hosts the master's program in Statistics and Machine Learning. No specific scientific awards are noted in the provided texts, though her work demonstrates significant contributions to public health research.

• Patient Safety
• Inclusive Clinical Research
• Patient and Public Involvement (PPI)
• +4 more

Alisen Dube is a Research Fellow and PhD candidate at the School of Health, Education, Policing and Sciences, Staffordshire University. Her work focuses on patient safety, inclusive clinical research, and the application of quantitative data in healthcare. She leads the Heel Pressure Ulcer Study as chief investigator and contributes to the NuRS/AmRES Study funded by the Health Foundation, analyzing NHS workforce retention data using machine learning. Education: PhD: 'Heel Pressure ulcers: contributory factors and their prognostic value in end of life' (Birmingham City University) MSc Medical Statistics with Modern Epidemiology (University of Leicester) BSc Adult Nursing (Coventry University) Research Interests: Combines epidemiological approaches with patient-centered methodologies. Specializes in pressure ulcer prevention, systematic reviews, and ensuring marginalized groups are included in clinical research. Advocates for patient/public involvement (PPI) to improve research representativeness and clinical practice. Grants & Projects: NuRS/AmRES Study (Health Foundation): Explores NHS workforce retention and patient safety through machine learning Heel Pressure Ulcer Study: Three-pronged research including systematic review, case-controlled study, and cohort analysis Labs/Teams: Collaborates across multidisciplinary teams in NHS organizations, leveraging routinely collected data for policy and practice improvements.