جست‌وجوی استاد و پژوهشگر

Rishikesh Yadavمشاهده پروفایل

پژوهشگر

• Approximation Theory
• Functional Analysis
• Dynamical Systems
• +۳ مورد دیگر

Rishikesh Yadav is a postdoctoral researcher at the Department of Mathematics and Mathematical Statistics, Umeå University, Sweden , and previously held a postdoctoral position at the Namur Institute for Complex Systems (naXys), University of Namur, Belgium . He earned his Ph.D. in Approximation Theory from Sardar Vallabhbhai National Institute of Technology Surat, India. His research focuses on Approximation Theory, Functional Analysis, Dynamical Systems, Operator Theory, and Optimization Theory. Notable contributions include work on Koopman operators, control theory, and compressed sensing. He has received awards such as the V. M. Shah Prize (2020) and Best Oral Presentation Award (2019). Recent research emphasizes developing algorithms for convex optimization on measure spaces, supported by the Kempe Foundation (2024–2026). His work bridges approximation theory with dynamical systems, including publications on Szász-Mirakjan operators, statistical convergence, and Koopman operator approximations via Bernstein polynomials. Grants/Fellowships: Kempe Foundation (2024–2026) Labs/Teams: naXys Institute (Belgium), Umeå University's Department of Mathematics

• Information Systems
• Econometrics
• Business Economics
• +۴ مورد دیگر

Prof. Dr. Kosta Sotiroski is a Full Professor at the Faculty of Economics - Prilep, University 'St. Kliment Ohridski' - Bitola. He holds a PhD in Economics from the same institution (1998), with research focused on statistical modeling and production optimization. His academic roles include mentoring doctoral students in Marketing, Management, and Business Informatics, and serving as Secretary of the Doctoral Studies Committee. Education: Bachelor's in Mathematical-Statistical-Cybernetics (1986) Master's in Monte Carlo Simulation in Economic Management (1993) PhD in 'Modeling Optimal Organization of Production Processes' (1998) Research Interests: Business Informatics, ERP Systems, Big Data Technologies, Econometrics, E-Banking Services, and Statistical Process Control. His work emphasizes data-driven decision-making in economics and healthcare. Publications: Over 112 publications in areas like arterial stiffness in dialysis patients, e-learning adoption, and SME innovation. Recent trends focus on healthcare analytics and cloud computing in education. Awards & Grants: Involved in EU-funded projects such as TEMPUS and CARDS initiatives. Recognized as a top-ranked scientist in Macedonia for contributions to economics and management science. Labs/Teams: Leads research in Business Informatics and Data Analytics. Active in editorial roles for journals like Strategic Management and International Journal of Economics, Politics, Humanities & Social Sciences.

Michael Kutnerمشاهده پروفایل

استاد

• Statistical Modeling
• Clinical Trials
• Epidemiology

Michael Kutner is the Rollins Professor of Biostatistics at the Emory School of Public Health, Department of Biostatistics and Bioinformatics. He holds an Endowed Chair and has served in leadership roles, including Chair of the Department of Biostatistics and Bioinformatics (2002-2009) and Chair of the Department of Biostatistics and Epidemiology at the Cleveland Clinic (1994-1999). He has also held roles such as Executive Associate Dean for Faculty Affairs at Emory's School of Public Health (1990-1993). Education: PhD from Texas A&M University, M.S. from Virginia Polytechnic Institute and State University (VPI & SU). His research focuses on Statistical Modeling , Clinical Trials , and Epidemiology . He has contributed extensively to statistical methodology, including works on linear models, regression analysis, and experimental design, with a strong emphasis on applied biostatistics. His publications span foundational textbooks like Applied Linear Statistical Models and Applied Linear Regression Models , which remain influential in statistical education. Recent work includes multi-omic cancer genetics studies and collaborative statistical practices. Awards: ASA Mentoring Award (2018) Lifetime Achievement Awards (ASA Georgia Chapter, 2018) Fellow of the American Statistical Association (1984) H.O. Hartley Award (1984) His career highlights include leadership in academic departments, prolific textbook authorship, and recognition for mentoring and service to the statistical community.

Amanda Tuckerمشاهده پروفایل

دانشیار

• Number Theory
• Algebraic Number Theory
• Diophantine Equations
• +۳ مورد دیگر

Amanda Tucker is an Associate Professor (non-tenure) and Assistant Director of Undergraduate Studies in the Department of Mathematics at the University of Rochester. Her research focuses on algebraic number theory, modular forms, and Diophantine equations. She actively promotes inclusive mathematics education through initiatives like GGM@Rochester, a summer program for gender minority high school students. Her work emphasizes Federico Ardila’s axioms regarding equitable mathematical potential and joyful learning experiences. Dr. Tucker’s educational background includes a PhD in Mathematics, as evidenced by her thesis on 'Special Groups of Units.' She collaborates extensively with researchers like Kevin J. McGown, Frank Thorne, and Marcus Elia, producing peer-reviewed publications in journals such as the Bulletin of the London Mathematical Society and Annales de l’Institute Fourier. Her teaching responsibilities include courses on Multivariable Calculus and Honors Calculus II. She also provides resources for GRE preparation, focusing on calculus, algebra, and advanced topics.

• Probability Theory
• Financial Mathematics
• Stochastic Processes

Paul Eisenberg is an Assistant Professor at the Institute for Statistics and Mathematics at Vienna University of Economics and Business. He holds a doctorate in Mathematics and has held positions at the University of Liverpool, Vienna University of Technology, and Technical University of Dortmund. His research focuses on probability theory and financial mathematics, particularly stochastic processes, term structure modeling, and applications to financial markets. He teaches courses in Probability, Quantitative Methods, and Business Mathematics. Research outputs concentrate on stochastic processes in finance, including term structure modeling, stochastic optimization, market microstructure, and applications to cryptocurrency markets. Recent work shows emphasis on regime-switching models and high-dimensional stochastic systems.

Ilyas Masihمشاهده پروفایل

دانشیار

• Hydrology
• Water Resources Planning
• Climate Change Impact Assessment
• +۴ مورد دیگر

Dr. Ilyas Masih is an Associate Professor of Water Resources Planning at the Department of Water Resources and Ecosystems, IHE Delft Institute for Water Education. His roles include coordinating the MSc Programme in Water Management and Governance (2015–2018) and teaching courses on water resources planning, environmental impact assessment, and drought management. He has extensive experience in hydrological modeling, integrated water resources management, and capacity building across Asia and Africa, including Ethiopia, Pakistan, Iran, and Vietnam. Dr. Masih holds a PhD from UNESCO-IHE, focused on hydrological variability in semi-arid regions. His research spans climate change impacts, drought assessment, agricultural water management, and water treatment technologies. He has supervised numerous MSc and PhD students and contributed to global datasets for hydrological modeling, such as remote sensing and reanalysis data. His publications emphasize drought management strategies, climate adaptation, and bioremediation technologies. Key themes in his work include the interplay between climate extremes and crop productivity, sustainable water use in agriculture, and policy alignment with disaster risk reduction frameworks. Leveraging interdisciplinary approaches, Dr. Masih collaborates with international organizations like IWMI and engages in training programs to enhance water resource management capacities globally.

• Computer Graphics
• Visualization
• Data Visualization
• +۵ مورد دیگر

Helwig Hauser is a Professor in the Department of Computer Graphics within the Faculty of Informatics at Vienna University of Technology (TU Wien). His research focuses on advancing visualization techniques across multiple scientific domains. With a career spanning over two decades, he has established himself as a leading expert in visualization research. His primary research interests encompass Computer Graphics, Visualization, Data Visualization, Visual Analytics, Scientific Visualization, Information Visualization, Set Visualization, and Molecular Visualization. Dr. Hauser's work bridges theoretical foundations with practical applications, developing innovative techniques for visual data exploration and analysis across diverse fields from medical imaging to molecular biology. Analysis of his publication record reveals a consistent research trajectory focused on developing novel visualization methodologies. His work demonstrates strong emphasis on interactive visual analytics, set visualization techniques, and domain-specific applications in medical and molecular visualization. Notably, he has made significant contributions to set visualization (Radial Sets), molecular visualization (Watergate), and medical visualization (Aortic Dissection Maps). Best paper award (one out of three) at EuroVis 2007 Heinz Zemanek Preis (2006) Best paper award at SimVis 2005 Dr. Hauser has supervised numerous doctoral and master's students, with a particular focus on visual analytics of complex data types. His research has been supported by various projects including the Punkt-basierte Volumen-Graphik project (2006-2009). He has contributed significantly to the visualization community through his editorial work and service as a journal reviewer, though specific details on current grants were not provided in the source text.

Nika Balomenouمشاهده پروفایل

دانشیار

• Tourism
• Visual Sociology
• Strategic Tourism Planning
• +۳ مورد دیگر

Dr. Nika Balomenou is an Associate Professor in Tourism and Visual Sociology at Swansea University's School of Management. She holds leadership roles as co-chair of the Visual Methods in Tourism Research Special Interest Group (Association for Tourism and Leisure Education and Research) and as Programme Director of the MSc International Tourism Management. Previously, she spent 12 years at the University of Hertfordshire, leading the Enterprise and Value Research Group and acting as Research Tutor for the Hertfordshire Business School. Her research focuses on visual methodologies, particularly participant-generated imagery, to empower host communities in tourism contexts. Key areas include strategic tourism planning, national park management, and host-guest interactions. She contributes to prestigious journals like Tourism Management and serves on editorial boards for Destination and Marketing Management and Tourism Planning and Development . Recent work explores tourism's dual impacts through longitudinal studies (e.g., Kavos, Corfu) and innovative visual research methods such as volunteer-employed photography (VEP). Her publications bridge sociological insights with practical tourism planning strategies. Dr. Balomenou supervises PhD candidates in tourism-related topics and teaches modules on strategic tourism planning, experiential design, and research methods. She actively collaborates with industry and policy stakeholders to apply academic findings to real-world challenges.

• Developmental Disorders
• Neuroscience
• Cognitive Science
• +۳ مورد دیگر

Adam Naples, PhD, is an Assistant Professor in the Child Study Center at Yale School of Medicine. His research focuses on the neural and cognitive mechanisms underlying developmental disorders, particularly autism. He holds a PhD in Psychology from Yale University and completed postdoctoral training in developmental psychopathology. Naples is affiliated with the McPartland Lab and collaborates on projects within the Autism Biomarkers Consortium for Clinical Trials (ABC-CT). His work integrates EEG, eye-tracking, and PET imaging to study social perception, neural development, and synaptic density in autism. Key research themes include visual attention, social anxiety, and biomarker development for clinical trials. Naples has mentored numerous graduate and undergraduate students and postdoctoral fellows. His lab explores translational approaches to improve early diagnosis and interventions for neurodevelopmental disorders.

Charmaine Deanمشاهده پروفایل

استاد

• Biostatistics
• Environmental Science
• Epidemiology
• +۷ مورد دیگر

Charmaine Dean is the Vice-President, Research and Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. She holds leadership roles in research administration and academic governance, including previous service as Dean of Science at Western University and Associate Dean at Simon Fraser University. Dr. Dean earned her Ph.D. in Statistics from the University of Waterloo in 1988. Her research focuses on biostatistics, environmental science, and spatio-temporal analysis, with applications to public health, wildfire management, and ecological modeling. Notable contributions include disease mapping, clinical trial design, and statistical methods for analyzing wildfire risk and forest ecology. She has received prestigious awards such as the CRM-SSC Prize, Fellowships from leading statistical societies, and the L’Ordre des Palmes Académiques from France. Her service includes roles on advisory boards for institutions like the Pacific Institute for the Mathematical Sciences and the Banff International Research Station. Dr. Dean’s work bridges academic research and policy, with impactful contributions to environmental and public health policy through interdisciplinary collaborations. Her research group’s activities include developing statistical tools for environmental risk assessment and pandemic response.

• Analytic Number Theory
• Diophantine Geometry
• Arithmetic Statistics
• +۳ مورد دیگر

Dante Bonolis is a Phillip Griffiths Assistant Research Professor at Duke University, mentored by Lillian Pierce. His research focuses on Analytic Number Theory, including Diophantine Geometry, Arithmetic Statistics, and applications of trace functions and ℓ-adic cohomology. Prior roles include postdoctoral positions at the University of Basel (2022–2023, mentored by Pierre Le Boudec) and IST Austria (2019–2022, mentored by Tim Browning), and a PhD from ETH Zurich (2014–2019, advised by Emmanuel Kowalski). His teaching includes lectures at Duke (Multivariable Calculus, Matrices and Vector Spaces) and extensive TA experience at ETH Zurich and Basel. Research interests span p-torsion in class groups, harmonic analysis, and polynomial sieve techniques. Recent work includes studies on rational points on algebraic varieties and distributions of Kloosterman sums. No scientific awards explicitly mentioned. Research collaborations include prominent figures like Lillian Pierce, Tim Browning, and Pierre Le Boudec. Teaching spans undergraduate and graduate levels, covering topics like analytic number theory, algebraic geometry, and commutative algebra.

Nicholas Ouelletteمشاهده پروفایل

استاد

• Complex Systems
• Fluid Dynamics
• Environmental Engineering
• +۴ مورد دیگر

Nicholas Ouellette is a Professor of Civil and Environmental Engineering at Stanford University, specializing in complex systems far from equilibrium. His research emphasizes dynamical self-organization across disciplines like fluid dynamics, granular media, and collective animal behavior. He holds a Ph.D. in Physics from Cornell University (2006), an M.S. in Physics (2005), and a B.A. in Physics and Computer Science from Swarthmore College (2002). Prior to Stanford, he was on the faculty at Yale University’s Mechanical Engineering and Materials Science department from 2008-2015. He has received teaching awards at both institutions. His work spans experimental and theoretical studies of turbulence, granular erosion, insect swarms, and urban dynamics. Current research includes sediment transport in turbulent flows, collective behavior in bird flocks, and urban street network analysis. He leads the Environmental Complexity Lab and collaborates on projects involving ocean mixing instrumentation and computational modeling of complex systems. Research interests include turbulent flows in fluids, particle transport dynamics, granular bed erosion mechanics, and quantitative analysis of animal collective motion. Techniques employed range from particle tracking velocimetry to machine learning for free-surface reconstruction. Ouellette’s recent work explores interdisciplinary connections between physics and urban systems, such as pedestrian access optimization in suburban layouts and the interplay of multiple environmental stressors in policy modeling. Notable contributions include studies on midge swarm mechanics, jackdaw flock kinematics, and the application of spectral analysis to energy transfer in turbulence. His lab develops advanced measurement systems for oceanographic studies and applies network theory to environmental and urban systems analysis. Ouellette maintains active collaborations across engineering, biology, and policy domains.

Daeyoung Kimمشاهده پروفایل

استاد

• Statistics
• Asymmetric Dependence
• Categorical Data Modelling
• +۴ مورد دیگر

Daeyoung Kim is a Full Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. He holds a Ph.D. in Statistics from The Pennsylvania State University (2008), and M.S. and B.S. degrees in Statistics from Korea University (2002, 2000). His research focuses on statistical dependence modeling via copulas, likelihood inference in categorical data, mixture modeling, and interdisciplinary applications in food science and environmental engineering. He has authored/co-authored numerous publications, including a book on Direction Dependence in Statistical Modeling . His work spans statistical methodology development and collaborative research in environmental and biomedical sciences. Education: Ph.D. in Statistics, The Pennsylvania State University, 2008 M.S. in Statistics, Korea University, 2002 B.S. in Statistics, Korea University, 2000 Research Interests: Kim’s work emphasizes asymmetric dependence analysis, categorical data modeling, and mixture models. He applies these methods to food science (e.g., lipid metabolism) and environmental challenges (e.g., cyanobacterial bloom modeling). His statistical contributions include copula-based regression and likelihood inference techniques for incomplete data. Collaborative Projects: Kim has contributed to studies on antimicrobial additives’ effects on colonic inflammation, lipid metabolism modulation in disease models, and the role of dietary fats in tumorigenesis. His interdisciplinary collaborations span environmental engineering, nutrition science, and biomedical research. Awards: Noted for award-winning teaching and research excellence, though specific honors are not detailed in the provided text.

David Hallidayمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Computing
• Intelligent Systems
• +۳ مورد دیگر

Professor David Halliday holds a position at the University of York as a Professor and Chair of the Research Committee. His research focuses on interdisciplinary fields of Computational Neuroscience and Neural Computing, with a particular emphasis on neural networks and neurophysiological signal analysis. He leads the Intelligent Systems and Nano-science Group and maintains an active research profile with over 100 publications. His work integrates theoretical modeling with experimental techniques to investigate topics such as motor control, neural oscillations, and clinical applications of machine learning. David Halliday's academic training includes a BSc and PhD, though specific institutions are not detailed in the provided text. His research interests span computational modeling of neural circuits, development of neuro-inspired algorithms, and application of signal processing techniques to neurological disorders. His homepage at http://www-users.york.ac.uk/~dh20 provides further details, including access to his ResearcherID profile (RID: A-3848-2009). Key research contributions include studies on cortico-muscular coherence in movement disorders, astrocyte-neuron interactions, and fault-tolerant spiking neural networks. His publications demonstrate interdisciplinary collaboration across computational neuroscience, biomedical engineering, and clinical diagnostics. Notably, his work combines experimental neurophysiology with advanced computational methods, such as non-parametric directionality analysis and wavelet-based coherence estimation. Recent studies have addressed clinically relevant topics like gait disturbance in spinal cord injury and biomarker identification in bladder cancer using machine learning approaches.

J. Richard Landisمشاهده پروفایل

استاد

• Biostatistics
• Epidemiology
• Clinical Research Informatics
• +۶ مورد دیگر

Dr. J. Richard Landis is a Professor of Biostatistics and Statistics at the University of Pennsylvania's Perelman School of Medicine and Wharton School, respectively. As Senior Vice Chair (SVC) of the DBEI Department, he oversees strategic initiatives and serves as a liaison between academic and clinical units. His roles include Director of the Biostatistics Unit at the Center for Clinical Epidemiology and Biostatistics (CCEB), and Director of the Clinical Research Computing Unit (CRCU), supporting translational research infrastructure. He holds advanced degrees from Millersville University (B.S.Ed., 1969), and the University of North Carolina at Chapel Hill (M.S. 1973, Ph.D. 1975). Prior to Penn, he was Professor of Biostatistics at the University of Michigan (1975–1988) and founded Penn State's Center for Biostatistics and Epidemiology (1988–1997). Dr. Landis' research focuses on statistical methodologies for longitudinal and categorical data, with applications to urological, renal, and chronic pain syndromes. He leads NIH-funded Data Coordinating Centers for networks like the MAPP Research Network (2008–2022) and the Chronic Renal Insufficiency Cohort (CRIC) study (2001–2023). His work emphasizes precision medicine, clinical trial design, and translational epidemiology. He has authored over 180 peer-reviewed articles and received prestigious awards, including the Mortimer Spiegelman Gold Medal and the Marvin Zelen Leadership Award. His current projects include the RURAL study (NHLBI) and the HOPE Consortium (NIDDK). Grants & Leadership : NIH-funded DCCs for MAPP, CRIC, and RURAL studies Collaborations : Co-investigator roles in CTSA-Hub cores and multidisciplinary teams Labs/Teams : CRCU, CCEB, and SDCC/SDRC centers