جست‌وجوی استاد و پژوهشگر

• Algebra
• Combinatorial Group Theory
• Geometric Group Theory
• +۴ مورد دیگر

Robert Gray is a Professor of Mathematics and EPSRC Research Fellow at the University of East Anglia's School of Mathematics, within the School of Engineering, Mathematics and Physics. He holds the title of Director of Admissions for the School (2017–2021) and is a member of the Algebra, Number Theory, Logic, and Representations (ANTLR) group. His career includes roles such as Reader in Pure Mathematics (2020–2024), EPSRC Research Fellow (2022–2027), and Senior Lecturer (2017–2020). Gray's research focuses on algebra, particularly combinatorial and geometric group and semigroup theory, algorithmic problems, decidability, homological finiteness properties, algebraic combinatorics, and actions of groups/monoids on graphs and topological spaces. He leads the EPSRC-funded project on algorithmic, topological, and geometric aspects of infinite groups and monoids (EP/V032003/1). Past grants include studies on special inverse monoids and finiteness conditions in semigroups. He has advised multiple PhD students, including Katie Reilly and Jonathan Warne, and collaborates internationally. His editorial work includes the International Journal of Algebra and Computation. Key achievements include contributions to inverse monoid theory, maximal subgroup structure, and resolving decidability questions in algebra.

Kenneth M. Levasseurمشاهده پروفایل

استاد

• Discrete Mathematics
• Abstract Algebra
• Computational Mathematics
• +۳ مورد دیگر

Kenneth M. Levasseur is a Professor in the Department of Mathematics & Statistics at the University of Massachusetts Lowell, within the Kennedy College of Sciences. His academic career spans over four decades with significant contributions to discrete mathematics, abstract algebra, and computational mathematics. Education: Ph.D. in Mathematics (1980), University of Rhode Island (Dissertation: Best Approximation with Respect to Two Objectives) MS in Mathematics (1973), University of Rhode Island BA in Mathematics (1971), St. Anselm College Levasseur's research primarily focuses on discrete mathematics and abstract algebra , with special emphasis on implementing algorithms and computational approaches using Mathematica. His work extends into data visualization and computational number theory. He has developed numerous interactive resources for teaching abstract algebra concepts. His publication history reveals a strong trajectory from theoretical approximation theory in the early 1980s toward discrete structures and educational applications of computational mathematics. Recent work (2019-2023) centers on applied discrete structures, Markov chains, and combinatorial games, demonstrating his sustained engagement with both theoretical and applied aspects of discrete mathematics. Awards: Mathematical Sciences Teaching Excellence Award (2008) Mathematical Sciences Teaching Excellence Award (2002) Professor Levasseur has secured numerous research grants, particularly in mathematics education. Notable projects include the UTeach replication grant (2012), ARRAS - U-TEACH UMass Lowell (2011), and multiple NSF-funded Focus on Mathematics initiatives (2009-2010). His grant portfolio reflects a strong commitment to improving mathematics education at multiple levels. He co-authored the textbook "Applied Discrete Structures" with his late colleague Al Doerr and has developed significant Mathematica resources including "Exploring Abstract Algebra with Mathematica" (EAAM) and a Baseball package for analyzing Retrosheet data. His work bridges theoretical mathematics with practical computational applications and educational tools.

Fei Douمشاهده پروفایل

استادیار

• Machine Learning
• Federated Learning
• Wireless Sensor Networks
• +۳ مورد دیگر

Fei Dou is an Assistant Professor in the School of Computing at the University of Georgia, which operates under the Franklin College of Arts and Sciences. He joined UGA in August 2023 and serves as Graduate Program Faculty. His office is located in the Boyd Research and Education Center. He holds a Ph.D. and M.S. in Computer Science and Engineering from the University of Connecticut, both completed in 2023. Dr. Dou's research spans several key areas of computer science with particular focus on: Machine learning systems : Federated learning, reinforcement learning, and self-supervised techniques Wireless sensing : Healthcare monitoring using WiFi signals and contactless sensing Networked systems : Underwater sensor networks and secure communication protocols Applied AI : Education technology, precision agriculture, and indoor positioning His recent publications (2021-2025) demonstrate strong emphasis on federated learning adaptations for resource-constrained environments, healthcare applications using novel sensing methodologies, and security solutions for underwater networks. A consistent theme involves developing efficient machine learning techniques that operate in challenging real-world conditions while preserving privacy and security.

Jörg Dirmaierمشاهده پروفایل

پژوهشگر

• Medical Psychology
• Patient-Centered Care
• Shared Decision-Making
• +۷ مورد دیگر

Dr. Jörg Dirmaier is a researcher and head of the research group in the Center for Psychosocial Medicine at the University of Hamburg's Faculty of Medicine. His work focuses on patient-centered care, shared decision-making, mental health interventions, and healthcare delivery systems. He leads studies on telemedicine, chronic disease management, and rare diseases' psychosocial impact. Key areas include benzodiazepine use patterns, health literacy, and randomized controlled trials evaluating interventions like telephone health coaching. His contributions span clinical psychology, public health campaigns (e.g., psychenet.de), and collaborative care models for mental disorders. Recent research emphasizes rare disease family support during pandemics and multimorbidity management in older adults.

William Hozaمشاهده پروفایل

استادیار

• Computational Complexity Theory
• Pseudorandom Generators
• Derandomization of Algorithms
• +۳ مورد دیگر

William Hoza is an Assistant Professor in the Department of Computer Science at the University of Chicago, affiliated with the UChicago CS Theory Group. His research focuses on computational complexity theory, particularly pseudorandom generators, derandomization of space-bounded computation, and circuit complexity. He earned a Ph.D. in Computer Science from the University of Texas at Austin (2021) and a B.S. from the California Institute of Technology (2016). Hoza advises two PhD students, including Zelin Lv (co-advised with Aaron Potechin). He has taught courses such as Introduction to Complexity Theory, Pseudorandomness, and Circuit Complexity. His academic journey includes a postdoctoral fellowship at UC Berkeley's Simons Institute. Hoza's work bridges theoretical computer science and practical algorithm design, with contributions to derandomization techniques and pseudorandom generator constructions. Key contributions include research on hitting sets, branching programs, and the limitations of pseudorandom generators. His publications span venues like FOCS, STOC, and ITCS, addressing foundational questions in computational complexity.

Aaron Potechinمشاهده پروفایل

دانشیار

• Computational Complexity Theory
• Discrete Mathematics
• Algorithm Design
• +۴ مورد دیگر

Aaron Potechin is an Associate Professor in the Department of Computer Science at the University of Chicago. His research focuses on computational complexity theory, discrete mathematics, and the sum-of-squares (SoS) hierarchy. He has contributed to areas such as constraint satisfaction problems (CSPs), space complexity via switching networks, and the analysis of random matrices. Potechin’s work bridges theoretical computer science with mathematical foundations, including algorithm design and logic. He holds an NSF grant for investigating the SoS hierarchy (CCF 2008920) and has been affiliated with the Theoretical Computer Science Group at UChicago. His academic journey includes a postdoctoral fellowship at KTH Royal Institute of Technology and notable awards like the Churchill Scholarship and NSF Graduate Research Fellowship. His research interests span: (1) the SoS hierarchy’s applications in combinatorial optimization, (2) approximability of CSPs, and (3) switching networks for space complexity. Recent work includes lower bounds for non-Gaussian component analysis and densest k-subgraph problems. Education Highlights: Recipient of the Barry M. Goldwater Scholarship (2008), Churchill Scholarship (2008), and NSF Graduate Research Fellowship. Grants: NSF Grant CCF 2008920 for SoS research. Awards: 2010 Machtey Award, 2009 George B. Covington Prize. Potechin teaches graduate courses on the SoS hierarchy, communication complexity, and statistical physics methods, alongside undergraduate courses in discrete mathematics and algorithms. His lab focuses on advancing theoretical computer science through rigorous mathematical frameworks.

Samuel Wayمشاهده پروفایل

پژوهشگر ارشد

• Computational Social Science
• Data Science
• Online Behavior Analysis
• +۴ مورد دیگر

Samuel Way is a Research Fellow at the University of Colorado, specializing in computational social science. His work leverages online data and mathematical modeling to explore human behavior and health, with a focus on music streaming dynamics, academic productivity, and algorithmic fairness. He holds an office at 4A JSCBB and has published extensively on topics ranging from music recommendation systems to the sociological impacts of parenthood in academia. His research bridges computer science, social sciences, and data analytics, addressing both theoretical and applied challenges in modern digital ecosystems. Research interests include analyzing large-scale music streaming patterns, evaluating fairness in machine learning tools, and quantifying systemic inequalities in academia. Notable contributions include studies on nostalgic listening behaviors, the random walk model of scientific productivity, and the development of frameworks for assessing fair ML toolkits. His work frequently utilizes network analysis, longitudinal studies, and algorithm design to uncover actionable insights for policymakers and industry leaders. While no formal awards are listed, his publications demonstrate significant contributions to interdisciplinary research. Advising and grants information is not provided in the source texts. Samuel collaborates across disciplines, reflecting the computational social science field's collaborative nature.

• Vascular Medicine
• Cardiovascular Health
• Clinical Trials
• +۴ مورد دیگر

Professor Julie Brittenden is an Honorary Professor at the University of Glasgow's School of Cardiovascular & Metabolic Health. Her research focuses on vascular medicine, clinical trial design, and outcomes analysis in cardiovascular and metabolic disorders. She specializes in studies related to varicose veins, peripheral arterial disease, and frailty assessment in vascular patients. Professor Brittenden has led and contributed to multiple high-impact clinical trials, including the CLASS trial evaluating treatments for varicose veins and the FOCCUS study on perioperative fluid management. Her work integrates translational research with patient-centered care, addressing topics such as diabetes-related foot ulcer prevention, walking impairment in intermittent claudication, and biomarker-driven prognostic modeling. She has published extensively in journals like the New England Journal of Medicine and the British Journal of Surgery, emphasizing rigorous methodological approaches to clinical effectiveness and cost-effectiveness analyses. Recent studies include the FAVOUR cohort study evaluating frailty assessment tools in vascular patients and investigations into sex equity in limb-threatening ischaemia treatments. Her research bridges vascular pathophysiology with healthcare economics, aiming to optimize patient outcomes and healthcare resource allocation.

• Dynamical Systems
• Ergodic Theory
• Stochastic Processes
• +۹ مورد دیگر

Marco Lenci is a Full Professor at the Department of Physics and Astronomy 'Augusto Righi' of the University of Bologna. His academic discipline is Mathematical Physics. Lenci's research focuses on dynamical systems, ergodic theory, and stochastic processes, with applications to physical systems, climate sciences, and biological systems. His work investigates infinite-measure dynamics, billiards (e.g., Lorentz gases), random walks in heterogeneous environments, and quantum large deviations. Key themes include anomalous diffusion, transport phenomena, and large deviations in quantum lattice systems. Recent studies explore limit theorems for human mobility models and applications of dynamics to epidemiology. His publications span topics like ergodic properties of quenched random systems, quantum computing, and post-quantum cryptography. No scientific awards are explicitly mentioned in the provided texts. Lenci's advising and grants activities are not detailed here, but his role as a professor suggests active mentorship. His interdisciplinary research bridges mathematics, physics, and applied sciences, contributing to both theoretical and applied domains.

Alessandro Sistoمشاهده پروفایل

دانشیار

• Geometric Group Theory
• Hyperbolic Geometry
• Low-Dimensional Topology
• +۳ مورد دیگر

Alessandro Sisto is an Associate Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in Mathematics. His research focuses on geometric group theory, hyperbolic geometry, and low-dimensional topology. He has been recognized with prestigious awards including the Kamil Duszenko Award (2018) and the Whitehead Prize (2024). His research interests include the study of hyperbolic groups, mapping class groups, and coarse geometric structures. Notable work involves characterizing acylindrical hyperbolicity, analyzing Morse boundaries, and exploring applications of hierarchically hyperbolic spaces. Recent studies also address cohomological methods and probabilistic aspects of group actions. Key contributions include foundational work on quasi-isometries, random walks on hyperbolic spaces, and the Farrell-Jones conjecture. His articles often bridge geometric, algebraic, and probabilistic perspectives in group theory. Awards: Kamil Duszenko Award (2018), Whitehead Prize (2024), Invited Speaker at the 2024 European Congress of Mathematics. Activities: Organizer of the Heriot-Watt node of the Scottish Dynamics Network. Research Focus: Hyperbolic structures, group rigidity, and geometric cohomology.

• Musculoskeletal Disorders
• Public Health
• Physical Activity
• +۴ مورد دیگر

Paul Jarle Mork is a Professor at the Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU. He leads the EU-funded selfBACK project and participates in the Back-UP project, focusing on musculoskeletal disorders and mHealth solutions. He heads the musculoskeletal research group and oversees the HUNT Study’s objective physical activity measurements. His research interests include lifestyle factors in musculoskeletal health, chronic pain, and digital health technologies. Key projects include developing AI-based apps for low back pain management and exploring determinants of physical activity in aging populations. He has contributed to over 50 peer-reviewed articles in 2025–2024, focusing on musculoskeletal epidemiology, sleep analysis, and occupational health. His work integrates machine learning for health monitoring and public health policy implications. Notable collaborations include the DE-PASS initiative and COST-Action management. His research emphasizes translating evidence into clinical practice, such as the selfBACK app’s process evaluation and cost-effectiveness studies in Denmark. He also investigates long-term health outcomes in populations like prostate cancer survivors and preterm birth cohorts.

Cyril Marzoukمشاهده پروفایل

استادیار

• Probability Theory
• Stochastic Processes
• Random Trees
• +۶ مورد دیگر

Cyril Marzouk is an Assistant Professor at École Polytechnique , affiliated with the Centre de Mathématiques Appliquées (CMA) (UMR 7641 CNRS). He holds a habilitation à diriger les recherches and is qualified as a professor in mathematics sections 25 and 26. His research focuses on the asymptotic behavior of large random combinatorial structures, particularly random trees, Lévy processes, and random maps, with applications to stochastic geometry and continuum limits. Education: Began studies at Université Paris Diderot and Université Paris-Sud, earned a master's in 2012. Conducted PhD research at the University of Zurich under Jean Bertoin, followed by postdoctoral positions at Sorbonne Université, Université Paris-Saclay, and Université Paris-Cité under Guillaume Chapuy's ERC CombiTop project. Research Interests: Asymptotic analysis of random discrete structures, Lévy trees, random maps, stable laws, percolation, and laminations. Active in the GT ALEA and GDR Branchement networks, organizing seminars at École Polytechnique. Teaching: Teaches probability and stochastic processes at École Polytechnique, including courses for engineering students and the M1 Applied Mathematics and Statistics program. Responsibilities include the Formation préparatoire EV2 and co-organizing the Parcours d'Approfondissement en Mathématiques Appliquées . Labs/Teams: Research conducted at CMA, collaborating on European projects like ERC GeoBrown and ANR Random Graphs and Trees .

Joanne Glinskyمشاهده پروفایل

دانشیار

• Neurological Rehabilitation
• Stroke Rehabilitation
• Physiotherapy
• +۳ مورد دیگر

Joanne Glinsky is an Honorary Associate Professor in the Department of Health Sciences at Macquarie University. She holds an External Position as Physiotherapist at Northern Sydney Local Health District and Honorary Associate at University of Sydney. Her academic background includes a PhD and specialized training in Neurological Physiotherapy from the University of Sydney. Her research focuses on neurological rehabilitation, particularly stroke recovery and spinal cord injuries. Key areas include mobility interventions, clinical trial methodologies, and improving physical activity outcomes in post-stroke patients. She leads projects such as the 'Hi-Walk' mobility booster program (2023–2024), investigating high-dose mobility interventions for stroke survivors. Her work integrates device-based monitoring, behavioral interventions, and implementation science to address gaps in long-term stroke rehabilitation. Recent studies explore exercise adherence, technology-assisted activity tracking, and sustainable healthcare program delivery in regional settings.

• Physical Activity Promotion
• Falls Prevention
• Exercise Interventions
• +۴ مورد دیگر

Professor Cathie Sherrington is a Professor at the Sydney School of Public Health, University of Sydney, and Senior Principal Research Fellow at the Institute for Musculoskeletal Health. Her research focuses on promoting physical activity and preventing falls in older adults and those with chronic disabilities. She leads a 28-person Physical Activity, Ageing and Disability Research Stream and is Deputy Director of the Institute. With 280+ peer-reviewed articles, her work has shaped international guidelines (e.g., WHO, NICE) and clinical practices. She holds prestigious fellowships (FAHMS, FACP) and ranks #3 globally in falls prevention research. Affiliations: Institute for Musculoskeletal Health (University of Sydney & Sydney Local Health District) Charles Perkins Centre, University of Sydney Key Research Themes: Mobility and falls prevention in ageing populations Exercise interventions for chronic conditions Evidence-based healthcare practices Recent Contributions: Authored Falls in Older People (Cambridge UP, 2021) Leads large-scale trials like SAGE yoga and Active Women over 50 Pioneered digital health interventions in rehabilitation Awards: Fellow of the Australian Academy of Health and Medical Sciences Fellow of the Australian College of Physiotherapists Top-ranked researcher in falls prevention (Scopus/Expertscape) Grants & Teams: Principal Investigator on NHMRC Leadership Fellowships Collaborates with global networks (e.g., Fragility Fracture Network) Labs/Teams: Physical Activity, Ageing and Disability Research Stream Charles Perkins Centre Healthy Ageing Theme Future Work: Scaling fall prevention programs globally Developing AI-driven mobility solutions Advocating for policy integration of physical activity guidelines

• Musculoskeletal Health
• Low Back Pain
• Chronic Pain Management
• +۳ مورد دیگر

Associate Professor Debra Shirley is affiliated with the University of Sydney , specifically within the Faculty of Health Sciences . Her research focuses on musculoskeletal health, chronic low back pain, physical activity interventions, and ergonomic solutions for sedentary work environments. Academic Rank: Associate Professor Department: Physiotherapy Research trends from her publications include: Systematic reviews and meta-analyses on low back pain management Studies on genetic and familial influences on chronic pain Development of video-game-based and wearable technology interventions for older adults Epidemiological analyses of physical activity and sedentary behavior in chronic disease Scientific Awards & Grants : Rebecca L Cooper Medical Research Foundation Grant (2016) Ian Potter Foundation Grant (2015) Sydney Southeast Asia Centre Cluster Grant (2014) National Heart Foundation of Australia Support (2012) NHMRC Equipment Grant (2007) Collaborations span institutions like the Norwegian HUNT Study, Spanish twin registries, and interdisciplinary teams in public health and physiotherapy.