جست‌وجوی استاد و پژوهشگر

Markus Scheinertمشاهده پروفایل

پژوهشگر

• Ocean Circulation
• Climate Dynamics
• Subpolar North Atlantic
• +۴ مورد دیگر

Markus Scheinert is a Researcher in the Ocean Dynamics group within the Ocean Circulation and Climate Dynamics division at GEOMAR Helmholtz Centre for Ocean Research in Kiel, Germany. His office is located in Room 3.306, Building 5 (ENB) at GEOMAR's main campus. He maintains an active research program focused on ocean circulation dynamics with particular emphasis on the North Atlantic region. Dr. Scheinert completed his PhD in 2008 at Christian-Albrechts-Universität Kiel with a dissertation titled "Causes and Impacts of northern North Atlantic Freshening." Prior to that, he completed his Diploma thesis in 2003 on "Mechanisms of low-frequency fluctuations of the western boundary current in the subpolar North Atlantic." He also conducted a research visit at Helsinki University's Division of Geophysics in 2004. His primary research interests include the dynamics and variability of the Subpolar North Atlantic gyre and western boundary current, Arctic and Sub-Arctic freshwater budget, and ocean circulation modeling. His work often involves high-resolution ocean modeling to understand climate-relevant processes in the Atlantic and Pacific Oceans. Analysis of his recent publications (2016-2025) reveals a strong focus on ocean circulation modeling, particularly examining the Atlantic Meridional Overturning Circulation, Agulhas Current system, and freshwater dynamics in the North Atlantic. His research increasingly incorporates software engineering aspects for scientific computing, reflecting the growing importance of computational infrastructure in modern oceanography. His work spans both fundamental ocean dynamics and climate-relevant processes, with recent publications addressing fine-scale climate simulations and data infrastructure development. Dr. Scheinert has been actively involved in numerous collaborative research projects, including the DRAKKAR initiative for high-resolution ocean modeling and the development of the Flexible Ocean and Climate Infrastructure (FOCI). His research often involves international collaborations with institutions across Europe and beyond, as evidenced by his participation in various workshops and conferences worldwide. He maintains a strong presence in both oceanographic research and scientific software development, with recent work addressing practical aspects of software engineering in marine research contexts. His laboratory work centers around computational oceanography using advanced modeling frameworks like NEMO and ORCA, with particular expertise in analyzing model outputs related to circulation patterns and climate variability.

• Partial Differential Equations
• Integral Equations
• Boundary Value Problems
• +۵ مورد دیگر

Vasilios Sevroglou is an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Piraeus, where he has been serving since 2012. Previously, he held positions as Lecturer (2007-2011) at the same department and as Visiting Professor at the University of Ioannina (2002-2006). His academic foundation includes a Doctorate in Applied Mathematics and Physical Sciences from NTUA (2001) with research focused on partial differential equations, specifically "The Herglotz Functions in Two-Dimensional Elasticity Applications to the Inverse Scattering Problem," and a Bachelor's degree in Mathematics from the National & Kapodistrian University of Athens (1995). University: University of Piraeus School: School of Finance and Statistics Department: Department of Statistics and Actuarial Science Academic Rank: Assistant Professor Dr. Sevroglou's research spans multiple areas of applied mathematics with a strong focus on Partial Differential Equations , Integral Equations , and Wave Scattering phenomena. His work particularly addresses boundary value problems in unbounded domains, scattering of acoustic and elastic wave fields, and electromagnetic field propagation in complex media. His research integrates theoretical mathematical approaches with practical applications in elasticity theory and inverse scattering problems. The interdisciplinary nature of his work bridges pure mathematics with physics and engineering applications, particularly in the areas of material science and wave propagation. Analysis of his publication record from 2005-2012 reveals a consistent research trajectory focused on elastic and acoustic scattering problems. His work demonstrates progression from foundational theoretical investigations to increasingly complex applications involving penetrable obstacles, mixed impedance problems, and chiral media. The majority of his publications address inverse problems in elasticity, with particular emphasis on developing and refining mathematical methods for shape reconstruction and parameter estimation. His collaborations with researchers like G. Pelekanos, C. Athanasiadis, and I.G. Stratis show an established research network focused on advancing mathematical approaches to scattering theory. Dr. Sevroglou maintains an active teaching schedule across both undergraduate and postgraduate programs. His undergraduate teaching includes core mathematics courses such as Infinite Calculus, Differential Equations, Applied Linear Algebra, and Algebra. At the postgraduate level, he teaches specialized courses including Principles of Economics and Financial Mathematics, Stochastic Financial Models, and Investment Portfolio Management. His teaching portfolio demonstrates the integration of his mathematical expertise with financial applications, reflecting the interdisciplinary nature of the Statistics and Actuarial Science department.

• Waterfowl ecology
• Wetland conservation
• Population dynamics
• +۲ مورد دیگر

Todd Arnold is a Professor in the Department of Fisheries, Wildlife, and Conservation Biology at the University of Minnesota's College of Biological Sciences. His research focuses on the ecology and conservation of wetland- and prairie-dependent wildlife, particularly waterfowl, with expertise in population dynamics, mark-recapture analysis, and adaptive management. He teaches courses in fisheries and wildlife conservation, including FW 2001 and FW 5051. Education: Ph.D., University of Western Ontario Research Interests : Arnold's work emphasizes population assessment and modeling to guide management activities, including estimating vital rates (nest success, brood survival) and developing predictive models for wildlife conservation. His methodologies address ecological and anthropogenic drivers of productivity and survival in wetland and grassland species. Publication Trends : Recent articles highlight interdisciplinary approaches combining ecological theory with applied management, covering waterfowl productivity patterns, polar bear demography, and methodological advances in adaptive resource management frameworks. Contact : arnol065@umn.edu

Richard J. Boucherieمشاهده پروفایل

استاد

• Operations Research
• Probability
• Healthcare Logistics
• +۵ مورد دیگر

Richard J. Boucherie is a Full Professor at the University of Twente, affiliated with the Digital Society Institute, TechMed Centre, and the Department of Mathematics of Operations Research. His work integrates operations research, stochastic modeling, and queueing theory to optimize complex systems in healthcare, transportation, and logistics. Research Interests: Prof. Boucherie's expertise spans: Healthcare Logistics : Bed census forecasting, patient flow optimization, and clinical scheduling Stochastic Systems : Queueing networks, Markov decision processes, and distributionally robust optimization Applied AI : Reinforcement learning, data mining, and predictive analytics for service systems Publication Trends: His recent articles (2023-2025) demonstrate a strong focus on pandemic-responsive healthcare optimization, including dynamic bed allocation, laboratory workflow design, and fairness in resource distribution during crises. Methodologically, they advance stochastic programming, queueing theory, and Bayesian inference for clinical applications. Awards & Honors: Canadian OR Society Practice Prize (2012) ORTEC Excellence in Advanced Planning Award (2012) Academic Leadership: He has supervised 37 research projects and contributes to institutional initiatives through the TechMed Centre (health innovation) and Digital Society Institute (data-driven solutions).

Guillaume Bastille-Rousseauمشاهده پروفایل

استادیار

• Animal Movement Ecology
• Behavioral Ecology
• Spatial Ecology
• +۵ مورد دیگر

Guillaume Bastille-Rousseau serves as Assistant Professor of Zoology at Southern Illinois University Carbondale, where he investigates spatial behavioral processes including animal movement and habitat selection. His research examines how these behaviors scale to influence population demography and species distributions across multiple sympatric species, with strong applications in conservation biology. B.S. from Université de Sherbrooke M.S. from Université Laval Ph.D. from Trent University Postdoctoral training at SUNY-ESF and Colorado State University Bastille-Rousseau's research program integrates quantitative spatial analysis with wildlife ecology, utilizing GPS telemetry and advanced statistical modeling to address fundamental questions about behavioral responses to environmental change. He specializes in developing innovative analytical frameworks for movement ecology, with particular focus on how resource selection heterogeneity influences population dynamics. His work spans diverse ecosystems from Galapagos Islands to North American forests, examining species including elephants, tortoises, caribou, and elk. Recent publications (2023-2025) reveal three dominant research thrusts: 1) Development of novel methodological approaches for movement and habitat selection analysis; 2) Applications to wildlife disease ecology and conservation management; 3) Investigation of anthropogenic and climate change impacts on behavioral processes. His work consistently bridges theoretical ecology with practical conservation solutions. No scientific awards are documented in available sources. Bastille-Rousseau teaches ZOOL 468 (Wildlife Biology Principles) and likely mentors graduate students through his active research program, though specific student names are not listed. His collaborative publication record indicates participation in multi-institutional research networks including national wildlife disease surveillance initiatives. The researcher leads a spatial ecology group focused on quantitative wildlife conservation, though no formal lab name is specified. His current work emphasizes integration of movement ecology with epidemiological landscapes and climate change resilience planning, particularly for megaherbivores and migratory species.

Christopher DePernoمشاهده پروفایل

استاد

• Wildlife Management
• Snake Ecology
• Urban Wildlife Conservation
• +۲ مورد دیگر

Christopher DePerno is a Professor in the Department of Applied Ecology at North Carolina State University . His work focuses on wildlife management, conservation biology, and disease ecology in wild mammals, particularly black bears, river otters, and urban wildlife. Recent publications highlight his expertise in: Snake identification and taxonomy in North Carolina Zoonotic disease surveillance (e.g., Trypanosoma cruzi , Toxoplasma gondii ) Population genetics of black bears using UrsaPlex v2.0 Human-wildlife conflict mitigation in urban environments His research intersects with: Fire ecology impacts on avian species Antimicrobial resistance patterns in wildlife Chemical restraint protocols for carnivores Genomic analysis of pathogens in wild populations DePerno's work appears in extension publications and peer-reviewed journals, often collaborating with wildlife veterinarians, ecologists, and conservation practitioners.

• Wildlife Ecology
• Conservation Biology
• Forest Management
• +۴ مورد دیگر

Torfinn Jahren is an Associate Professor at the University of Inland Norway , affiliated with the Faculty of Applied Ecology, Agricultural Sciences and Biotechnology. His research focuses on Wildlife Ecology and Conservation Biology , particularly examining predator-prey dynamics in boreal forest ecosystems. Faculty: Applied Ecology, Agricultural Sciences and Biotechnology Department: Forestry and Outback Studies Email: torfinn.jahren@inn.no His work primarily investigates nest predation in forest birds like capercaillie and black grouse, analyzing interactions between mesopredators (pine marten and red fox). He employs snow tracking and camera surveillance methodologies across multiple Norwegian regions. Key research themes include: Predator competition dynamics Impact of landscape parameters on nesting success Evaluation of hand-reared gamebird releases Human land use effects on predator populations Publications span 2010–2024, with recent studies focusing on capercaillie nest predation factors (2024), microtine rodent influence on pine marten populations (2024), and long-term comparative analyses across 16 countries (2016).

Cyrille Arthoمشاهده پروفایل

دانشیار

• Software Verification
• Software Engineering
• Concurrent Software
• +۵ مورد دیگر

Cyrille Artho is an Associate Professor at KTH Royal Institute of Technology in the School of Computer Science and Communication, Department of EECS/TCS (Theoretical Computer Science). He joined KTH in August 2016 after working as a Senior Researcher at the National Institute of Advanced Industrial Science and Technology (AIST) in Tokyo and Osaka from April 2007 to July 2016. Prior to that, he was a Postdoctoral Researcher at the National Institute of Informatics in Tokyo. He completed his Ph.D. at ETH Zurich, where his thesis focused on finding multi-threading faults beyond data races. Dr. Artho's research focuses on software verification and engineering, particularly in concurrent and networked software systems. His work spans model-based testing, software model checking, and the development of verification tools. He has made significant contributions to the Java PathFinder ecosystem, developing the net-iocache extension for networked software and the Modbat model-based testing framework. His recent work has expanded into smart contracts, blockchain technology, and formal verification of distributed systems. Dr. Artho has published over 100 papers in top software engineering conferences and journals. His most recent publications demonstrate a continued focus on verification techniques, with increasing attention to smart contracts and formal methods for distributed systems. His work shows a consistent trajectory from foundational research on concurrency verification to practical applications in modern distributed systems. ACM SIGSOFT Distinguished Paper Award (2015) QRS 2015 best paper award Best tool (competition winner) at SBST 2015 Most influential ASWEC paper award (awarded in 2013) Dr. Artho is actively involved in the academic community as a committee member, session chair, and workshop organizer for major conferences including ASE, ICSE, ISSTA, and FM. He is also a member of the management group for the KTH Center for Cyber Defense and Information Security, reflecting his contributions to security-related research.

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Caio Corro is a Maître de Conférences (Associate Professor) at INSA Rennes, conducting research in the LinkMedia team of the IRISA laboratory. His work bridges theoretical computer science with practical applications in natural language understanding, with particular expertise in structured prediction problems for NLP systems. Dr. Corro's research program spans multiple interconnected domains: Natural Language Processing, with special focus on named entity recognition (including nested and discontinuous entities) Machine Learning algorithms for linguistic structure modeling Combinatorial optimization approaches to NLP challenges Application of AI techniques to linguistic research (AI for science) Development of efficient algorithms balancing theoretical soundness with practical performance His recent publication trajectory shows increasing emphasis on domain adaptation and multilingual capabilities while maintaining rigorous theoretical foundations. Corro has pioneered approaches that reduce computational complexity in structured prediction tasks without sacrificing accuracy, with significant contributions to named entity recognition methodologies. His work on EuroBERT demonstrates commitment to European language technologies, while his insurance domain research shows practical application focus. Dr. Corro maintains an active supervision portfolio: Current PhD students: Ayoub Hammal (co-supervised with Pierre Zweigenbaum and Miguel Couceiro), Benno Uthayasooriyar (co-supervised with Franck Vermet and Antoine Ly) Former students include Alban Petit (PhD graduate), Nicolas Devatine (now PhD student at IRIT), and several master's students who have contributed to his research program As a core member of the LinkMedia team at IRISA, Dr. Corro collaborates across institutional boundaries on cutting-edge NLP challenges, with particular emphasis on adapting techniques to specialized domains where data constraints present unique challenges.

• optimal transport
• probability theory
• mathematical statistics
• +۲ مورد دیگر

Aleksey Vladimirovich Kroshnin is a Senior Research Fellow at the Faculty of Computer Science, National Research University Higher School of Economics (HSE), working within the Institute of Artificial Intelligence and Digital Sciences and the Laboratory of Theoretical Foundations of Artificial Intelligence Models. He joined HSE in 2018 and maintains a dual affiliation as Junior/Senior Researcher at the Dobrushin Mathematical Laboratory, IITP RAS since 2016. His educational background includes a PhD from University of Lyon (2022), a Master's degree in Applied Mathematics and Physics from Moscow Institute of Physics and Mathematics (2018), and a Bachelor's degree in the same field (2016). Dr. Kroshnin's research focuses on optimal transport theory , probability and mathematical statistics , functional analysis , and convex optimization . His work bridges theoretical mathematics with practical applications in machine learning and data science, particularly in the area of Wasserstein geometry and barycenter computation. His publication record from 2018-2024 demonstrates consistent contributions to top-tier journals in mathematics, statistics, and machine learning. The research shows a clear trajectory toward increasingly complex applications of optimal transport in machine learning, with significant contributions to computational methods for Wasserstein barycenters and statistical inference in metric spaces. While specific awards aren't listed in the provided information, his publications in prestigious journals like Annals of Statistics, SIAM Journal on Mathematical Analysis, and Journal of Convex Analysis indicate recognition within the mathematical community. Dr. Kroshnin collaborates extensively with researchers at HSE and internationally, particularly with Gasnikov Alexander and other members of the optimization and machine learning community in Russia. His work combines deep theoretical insights with practical computational approaches to challenging problems in data science.

• convex optimization
• mathematical modeling of traffic flows
• Markov processes
• +۳ مورد دیگر

Alexander Vladimirovich Gasnikov is a Leading Researcher at the National Research University Higher School of Economics (HSE), specifically within the Faculty of Computer Science, the Institute of Artificial Intelligence and Digital Sciences, and the International Laboratory of Stochastic Algorithms and Multidimensional Data Analysis. He has been working at HSE since 2015 and has accumulated 17 years of scientific and teaching experience. Gasnikov received his academic credentials from the Moscow Institute of Physics and Technology (State University). He earned his Bachelor's degree in Applied Mathematics and Physics in 2004, followed by a Master's degree in the same specialty in 2006. He completed postgraduate studies at MIPT from 2006-2007, earned his Candidate of Physical and Mathematical Sciences degree in 2007, was awarded the academic title of Associate Professor in 2011, and ultimately received his Doctor of Physical and Mathematical Sciences degree in 2016 with a dissertation on 'Efficient Numerical Methods for Finding Equilibria in Large Transport Networks.' Gasnikov's research focuses on convex optimization, mathematical modeling of traffic flows, and Markov processes. His work bridges theoretical mathematics with practical applications in optimization algorithms and transportation science. He has made significant contributions to developing efficient numerical methods for optimization problems, particularly in the context of large-scale networks and stochastic settings. His research has evolved from traditional optimization methods to more advanced techniques involving stochasticity, decentralization, and applications to machine learning problems. His publications demonstrate expertise in both theoretical analysis (establishing convergence rates, lower bounds) and practical algorithm development across multiple prestigious venues including Journal of Optimization Theory and Applications, SIAM Journal on Optimization, and top machine learning conferences like NeurIPS. Gasnikov has received recognition including a bonus for publication in international peer-reviewed journals (2019-2021) and has served as a member of the editorial board of the 'Siberian Journal of Computational Mathematics' since 2017. As a supervisor, Gasnikov has guided multiple doctoral candidates, including Alexander Ogaltsov, Titov A. A. (2023), and Tyurin A. I. (2020) for Candidate of Sciences degrees, and Dvurechensky P. E. (2020) for a Doctor of Science degree. His research has been supported by grants from the President of Russia (MD-1320.2018.1) and the Russian Foundation for Basic Research (18-31-20005 mol_a_ved). Gasnikov's work contributes significantly to the theoretical foundations of optimization algorithms that power modern artificial intelligence systems. His leadership in the International Laboratory of Stochastic Algorithms and Multidimensional Data Analysis positions him at the forefront of research connecting mathematical optimization with practical applications in machine learning and data science.

• Solid-state NMR methodology
• Protein structure and dynamics
• Biomolecular assemblies
• +۵ مورد دیگر

Józef R. Lewandowski is a Professor of Physical Chemistry at the University of Warwick, leading the Lewandowski Group within the Department of Chemistry. His research focuses on solid-state NMR methodology and its application to studying structure-dynamics-function relationships in biomolecular systems , particularly membrane proteins , amyloid fibrils , and trans-AT polyketide synthases . He has held his position since 2019, following promotions from Assistant to Associate Professor between 2011 and 2019. His group specializes in solid-state NMR for insoluble systems atomic resolution dynamics characterization antibiotic biosynthesis mechanisms protein complex structural analysis

Carla Ferreiraمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Concurrency
• Low-code Development
• +۵ مورد دیگر

Dr. Carla Ferreira is a Researcher at NOVA University Lisbon, Portugal. She actively contributes to academic communities as a committee member and session chair in conferences like POPL, ECOOP, and SPLASH. Her work bridges distributed systems, low-code development, and program verification. Researcher at NOVA University Lisbon Conference committee roles: POPL, ECOOP, SPLASH, MODELS, PLDI Research interests: distributed systems, low-code development, invariant verification Carla’s work focuses on ensuring correctness in distributed systems through coordination-free designs and replicated data types. She has explored low-code templates for safe application composition and automated scaling of sequential systems. Her recent contributions include consistency models for weakly consistent databases and educational approaches for teaching distributed verification with TLA+. She has authored key works on ECROs, OSTRICH, and VeriFx frameworks. Her publications span from 2016 to 2025, reflecting ongoing contributions to system design and verification. Carla Ferreira can be reached via her personal website at http://ctp.di.fct.unl.pt/~cf/ , though no direct email addresses are publicly listed in the scraped data.

Virginia Huddlestonمشاهده پروفایل

استاد

• Conservation Ecology
• Ecotoxicology
• Physiological Ecology
• +۳ مورد دیگر

Virginia Huddleston is a Professor in the Department of Biology at Benedictine College, where she maintains an active research program focused on conservation ecology and wildlife management. Her office is located in Westerman Hall 211, and she can be contacted at 913.360.7281. Educational Background: Ph.D. in Marine Biology from University of North Carolina Wilmington (2012) M.S. in Marine Biology from College of Charleston (2008) B.S. in Biology from Benedictine College (2004) Dr. Huddleston's research integrates conservation ecology, ecotoxicology, and physiological ecology to examine human impacts on wildlife. Her work focuses on three primary areas: Effects of energy infrastructure (wind turbines) on prairie bird populations Mercury contamination pathways in wetland ecosystems Long-term recovery monitoring of raptor species like Bald Eagles Habitat management through prescribed fire and grazing practices She emphasizes interdisciplinary approaches that combine field ecology, toxicology, and physiology to address conservation challenges. Her publication record demonstrates consistent focus on anthropogenic impacts on avian species, with recurring themes in grassland bird conservation, ecotoxicology of mercury bioaccumulation, and population responses to habitat management. Recent work shows increased emphasis on genomic applications in conservation biology. Dr. Huddleston actively mentors undergraduate researchers through projects involving: Pheasant translocation studies Pollinator conservation initiatives Long-term bird biodiversity monitoring at Benedictine Bottoms Collaborative field studies with Kansas Wildlife, Parks & Tourism She maintains research partnerships with Kansas State University on prairie-chicken ecology and federal agencies on mercury contamination in North Dakota wetlands.

Andriy Sirchenkoمشاهده پروفایل

استادیار

• Econometrics
• Applied Statistics
• Data and Business Analytics
• +۸ مورد دیگر

Andriy Sirchenko serves as Assistant Professor of Econometrics at Nyenrode Business University, where he is affiliated with the Faculty Research Center for Marketing & Supply Chain Management. Previously, he held academic positions at Maastricht University, University of Amsterdam, and Higher School of Economics in Moscow. His educational background includes a BSc and MSc in Applied Physics and Mathematics/Biophysics from Moscow Institute of Physics & Technology, an MA in Economics from the University of Iowa, and a PhD in Economics from the European University Institute in Florence. His dissertation focused on monetary policy identification and predictability. Sirchenko's research spans advanced econometric methodologies including finite mixture models, discrete-choice analysis, and time-series econometrics. His work demonstrates particular expertise in developing computational approaches for complex statistical problems involving hierarchical structures and zero-inflated data. His publication record shows consistent focus on methodological innovations in econometrics, with recent work addressing challenges in ordered probit modeling, policy interest rate analysis, and specialized techniques for count data with bounded support. These contributions appear in respected journals including Journal of Economic Dynamics & Control and The Stata Journal. Sirchenko has supervised 72 theses and secured eight research and teaching grants from external organizations. His technical contributions include developing five statistical software packages in Stata and R. He has taught 24 different courses across nine countries, with expertise in Econometrics, Statistics, Game Theory, Microeconomics, and Business Analytics. His international collaborations include work with Augsburg University and Helmut-Schmidt University in Germany, and research appointments at institutions including the University of California at San Diego and multiple central banks.