جستجوی استاد راهنمای دانشگاهی

• Geotechnical Engineering
• Soil Mechanics
• Earthquake Engineering
• +۳ مورد دیگر

Prof. Alper SEZER is a faculty member at Ege University's Department of Civil Engineering (Faculty of Engineering), specializing in Geotechnics. His research focuses on geotechnical engineering, earthquake effects, soil mechanics, and sustainable development. He has conducted extensive studies on soil liquefaction, seismic site effects, and post-earthquake damage assessments in regions like Antakya, Izmir, and Adıyaman. His work integrates computational methods (e.g., genetic algorithms, artificial neural networks) with experimental geotechnics to improve soil characterization and disaster resilience. He has collaborated on projects analyzing valley effects, ground motion amplification, and the mechanical behavior of soils under cyclic loading. Education: Details not explicitly provided in text, inferred through academic publications and position. Research interests include geotechnical hazard mitigation, soil stabilization techniques (e.g., polymer-modified soils), and the application of fractal analysis to soil properties. His studies address practical challenges such as sulfate resistance in cement-stabilized soils and freeze-thaw resistance of fiber-reinforced materials. He has contributed to microzonation studies and seismic risk assessments in urban areas like Izmir Bay. Publications emphasize field reconnaissance findings from major earthquakes (e.g., 2020 Samos, 2023 Türkiye earthquakes) and laboratory experiments on soil behavior under dynamic loading. Awards and recognitions are not explicitly listed in the text. Grant activities and advising details are not provided, but his extensive publication record suggests sustained research funding. He is affiliated with geotechnical laboratories at Ege University, focusing on experimental testing and computational modeling in geotechnical engineering.

Zoltán Harmanمشاهده پروفایل

پژوهشگر

• Quantum Electrodynamics
• Atomic Physics
• Highly Charged Ions
• +۱۲ مورد دیگر

Zoltán Harman is a Leading Scientist at the Max Planck Institute for Nuclear Physics (MPIK) in Heidelberg, Germany, and is affiliated with Heidelberg University. He conducts cutting-edge research in atomic physics, quantum electrodynamics, and precision measurements, particularly using highly charged ions and Penning trap techniques. He holds a habilitation in physics from Heidelberg University and regularly lectures there on advanced topics such as quantum electrodynamics and theoretical physics. Research Interests: Quantum Electrodynamics (QED) in strong fields Precision spectroscopy of highly charged ions g-factor measurements and tests of fundamental physics Development of atomic clocks using highly charged ions Determination of fundamental constants (e.g., electron mass, fine-structure constant) Searches for new physics beyond the Standard Model, including fifth forces Neutrino mass determination via Penning trap measurements His recent publications (2024–2025) focus on high-precision g-factor measurements in ions like tin and beryllium, two-loop QED calculations, King plot analyses for new boson searches, and neutrino mass studies. These works appear in top journals such as Nature , Physical Review Letters , and Science , reflecting his leadership in precision atomic physics. Scientific Awards and Grants: Postdoctoral scholarship from the Max Planck Society (2005–2007) EMMI Visiting Professor Scholarship (2012, 2013) Erasmus student scholarship (1999–2000) Primary investigator of the ISOQUANT Collaborative Research Centre (SFB1225) Teaching and Advising: Harman has been a regular lecturer at Heidelberg University since 2008, teaching courses in quantum electrodynamics, theoretical physics, and experimental physics. He co-organizes advanced lecture series and supervises student research projects, including poster sessions and talks. He is also a lecturer in the International Max Planck Research School on Quantum Dynamics. Research Group and Collaborations: Harman is a key member of the quantum dynamics group at MPIK, led by Prof. Christoph H. Keitel. His work involves close collaboration with experimental teams at MPIK, GSI, and Heidelberg University, combining theoretical and experimental efforts in precision physics. He is actively involved in major projects such as PENTATRAP and ALPHATRAP, which aim to push the limits of atomic and nuclear measurements.

Vladimir Savinovمشاهده پروفایل

دانشیار

• Experimental Particle Physics
• Computational Physics
• High Energy Physics
• +۳ مورد دیگر

Dr. Vladimir Savinov is an Associate Professor of Physics at the University of Pittsburgh's Department of Physics & Astronomy (Dietrich School), specializing in experimental particle physics. He has been on faculty since 2000 and is involved with major experiments including ATLAS (LHC), Belle/Belle II (KEK), and CLEO (Cornell). His research focuses on discovering fundamental particles and understanding quantum phenomena, with notable contributions to Higgs boson studies and CP violation measurements. Education: PhD studies in Minnesota (CLEO experiment), followed by work at BaBar (SLAC) and Belle (KEK). Teaching: Courses like Quantum Mechanics and introductory physics. Advises graduate students in experimental high-energy physics. Collaborates internationally, balancing research with cultural exploration through travel and music. Labs: Active in the ATLAS and Belle II collaborations, focusing on detector systems and data analysis. His work bridges cutting-edge physics with educational outreach, emphasizing hands-on learning. Current projects include exploring new physics beyond the Standard Model through precision measurements and collider experiments.

Steve E. Rigdonمشاهده پروفایل

استاد

• Biosurveillance
• Election Prediction Models
• Quality
• +۴ مورد دیگر

Steve E. Rigdon is a Professor in the Department of Epidemiology and Biostatistics at the College for Public Health and Social Justice, Saint Louis University. His expertise lies in statistical inference, biosurveillance, and reliability modeling. Education: Ph.D. in Statistics, University of Missouri-Columbia M.A., University of Missouri-St. Louis B.A., University of Missouri-St. Louis Dr. Rigdon's research focuses on biosurveillance , election prediction models , quality engineering , and survival analysis . He has made significant contributions to the statistical modeling of repairable systems and optical experimental design. His work bridges theoretical statistics with real-world public health and engineering applications. His publications appear in top-tier journals including Technometrics , Journal of Quality Technology , and Quality Engineering . He is also the author of influential textbooks such as Calculus (8th and 9th editions) and Statistical Methods for the Reliability of Repairable Systems . His election prediction models were featured in the Wall Street Journal and local media in 2008. Research Funding: National Science Foundation (NSF) grant for research on optical experimental design, in collaboration with Arizona State University. Dr. Rigdon teaches Bayesian Statistics and the Capstone in Biostatistics , mentoring students in advanced statistical applications. He is active in research dissemination through platforms like ResearchGate. His office is located at Wool Center, Second Floor, Room 276H, 3545 Lindell Blvd., St. Louis, MO 63103.

Hugo Curielمشاهده پروفایل

استادیار

• Stimulus Preference Assessments
• Reinforcer Assessment Procedures
• Gender Representation in Academic Journals
• +۴ مورد دیگر

Hugo Curiel is an Assistant Professor in the Department of Psychology at Western Michigan University , specializing in behavior analysis. His research focuses on stimulus preference assessments, reinforcer assessments, and gender representation in academic journals. He holds a Ph.D. in Behavior Analysis (2018) from Western Michigan University, an M.A. (2012), and a B.A. (2009) from California State University, Fresno. Dr. Curiel is a Board Certified Behavior Analyst with clinical experience in early intervention for children with autism and other developmental disabilities, emphasizing culturally responsive care through his bilingual (Spanish/English) expertise. His work integrates technology with traditional behavioral assessment methods and examines diversity in authorship across behavior-analytic journals. Education : Ph.D. in Behavior Analysis, Western Michigan University (2018) M.A. in Psychology, California State University, Fresno (2012) B.A. in Psychology, California State University, Fresno (2009) Research Interests : Development and validation of stimulus preference assessment tools Technology-enhanced reinforcer identification for children with autism Gender equity in behavior-analytic authorship and editorial roles Efficient skill acquisition methods like matrix training His recent articles explore global trends in behavior-analytic publications, cross-cultural research collaborations, and the integration of video-based interventions. Dr. Curiel actively promotes diversity in academia and has advised graduate students in applied behavior analysis programs. His work contributes to both theoretical advancements and practical applications in behavioral interventions.

Joshua Rabinowitzمشاهده پروفایل

استاد

• Cellular Metabolism
• Chemical Biology
• Metabolic Regulation
• +۳ مورد دیگر

Joshua Rabinowitz is a Professor of Chemistry and Director of the Ludwig Princeton Branch at Princeton University. His research focuses on quantitative analysis of cellular metabolism, leveraging advanced mass spectrometry and computational modeling. Key areas include metabolic regulation in microbes (E. coli, yeast), cancer cell metabolism, viral infection impacts, and biofuel production. His lab has pioneered methods to measure metabolites and fluxes, leading to discoveries like novel cancer metabolites and antiviral strategies via fatty acid inhibition. Notable honors include the NIH Pioneer Award and Agilent Thought Leader Award. Research emphasizes systems-level understanding, with projects combining biological experiments, metabolomics, and computation. Recent work explores metabolic heterogeneity in humans, immunotherapy enhancements through metabolic modulation, and metabolic vulnerabilities in cancers like rhabdomyosarcoma. Collaborations include engineering yeast for biofuel production and developing therapeutics targeting metabolic pathways. Lab Website: Rabinowitz Lab Affiliations: Lewis-Sigler Institute for Integrative Genomics, Princeton University Major contributions include identifying metabolic shifts in viral infections, modeling microbial nutrient responses, and advancing technologies for metabolite quantification. Current efforts aim to integrate metabolomic data with enzyme regulation dynamics to predict metabolic networks across organisms.

Laura McGuireمشاهده پروفایل

مدرس

• Climate Change Education
• Implicit Attitudes
• Sustainable Development
• +۳ مورد دیگر

Laura McGuire is a Lecturer in Psychology at Edge Hill University, specializing in the intersection of education, implicit attitudes, and climate change behavior. She serves on the steering committee of the UN’s Interdisciplinary and Intergovernmental Panel on Behaviour Change for Sustainable Development (IPBC), focusing on 'Education for Sustainable Development.' Her research addresses the 'value-action gap,' exploring how implicit attitudes predict behavior and designing educational interventions to foster sustainable practices. University: Edge Hill University Department: Department of Psychology Her work emphasizes cross-cultural studies, including collaborations with Dubai’s Arbor School, to compare consumer attitudes across different cultural contexts. McGuire co-authored The Psychology of Climate Change , which explores cognitive barriers to climate action and has been translated into Chinese. She also contributed to the UN’s International Commission on Education for Sustainable Development Report. McGuire has presented at high-profile events like the United Nations Conference on Climate Change in Paris and the British Academy Summer Showcase. Her research employs eye-tracking and implicit association tests to measure psychological responses to environmental messaging. Awards: Emerging Scholar Award (Sustainability Research Network) Her teaching background spans over a decade in secondary schools and universities, focusing on public speaking and research methods. She advises on graduate teaching and has supervised multiple student projects on social behavior and psychology applications.

John Hospمشاهده پروفایل

استاد

• Data-based decision making
• Curriculum-based measurement
• Special education
• +۳ مورد دیگر

John Hosp is a Professor at the University of Massachusetts Amherst, affiliated with the Department of Student Development (SD) in the School of Education. His roles include academic research and teaching in special education and assessment methodologies. He holds a B.A. from Hobart College (1992), an M.S. (CAGS) from Rochester Institute of Technology (1995), and a Ph.D. from Vanderbilt University (2002). His research focuses on data-driven educational decision-making, curriculum-based measurement, and addressing disproportionate representation of minority students in special education. He has extensively studied reading/literacy instruction, assessment tools for science and math, and interventions for students with learning disabilities. Notable contributions include works on improving screening efficiency in literacy, analyzing oral reading fluency metrics, and synthesizing ELL intervention strategies. His publications emphasize practical applications of assessment data to enhance teaching and learning outcomes.

April L. Zeniskyمشاهده پروفایل

استاد پژوهش

• Psychometrics
• Large-Scale Assessment
• Computer-Based Testing
• +۴ مورد دیگر

April L. Zenisky is a Research Professor and Director of Computer-Based Testing Initiatives at the Center for Educational Assessment, University of Massachusetts Amherst. She specializes in psychometrics, large-scale assessment, and computer-based testing. Her work focuses on improving test designs, score reporting, and innovative item types for credentialing and educational programs. She leads projects like the Massachusetts Adult Proficiency Tests (MAPT-CCR) and has contributed to NAEP evaluations. Currently, she is the Associate Editor of the International Journal of Testing. Education: B.A. in English and Psychology from Amherst College (1997) Ed.D. in Educational Research from University of Massachusetts Amherst (2004) Research Interests: Dr. Zenisky’s work emphasizes practical applications of psychometric principles to real-world testing challenges, including adaptive testing paradigms, cross-cultural assessment, and actionable score reporting. She advocates for user-centric design in score reports and has pioneered methods for integrating technology into testing environments. Lab/Team: She directs the Center for Educational Assessment, collaborating with institutions globally on large-scale assessment projects. Her team develops tools for validating test designs and improving stakeholder communication of assessment outcomes.

• Computational Evolutionary Biology
• Statistical Genomics
• Bayesian Inference
• +۹ مورد دیگر

Rui Pinto Borges is a Lecturer in Statistics at the School of Mathematics and Statistics, University of St Andrews, UK. His research bridges statistical methodology with evolutionary genomics, focusing on the development of Bayesian models to understand population dynamics, selection, and phylogenetic relationships. He is actively involved in interdisciplinary research with applications in molecular evolution and biodiversity. Research Interests: Dr. Borges specializes in computational and statistical approaches to evolutionary questions. His work emphasizes Bayesian inference for genomic data, particularly in estimating effective population sizes, detecting selection in experimental evolution, and modeling codon usage and phylogenetic signal. He integrates high-throughput sequencing data with mathematical models to uncover evolutionary forces shaping genomes. The recent articles reflect a strong trend in developing and applying Bayesian frameworks to problems in population and molecular evolution. Key themes include selection detection in evolve-and-resequence experiments, phylogenetic inference under uncertainty, and modeling mutational processes across species. These works are published in leading journals such as Molecular Biology and Evolution , Methods in Ecology and Evolution , and Bioinformatics , demonstrating both methodological innovation and biological relevance. Scientific Contributions: Development of Bait-ER: a fully Bayesian tool for selection coefficient estimation. Creation of Bayesian estimators for effective population size under complex mutation models. Contributions to polymorphism-aware phylogenetic modeling in RevBayes. Advising and Grants: While no direct students are listed, Dr. Borges collaborates extensively with research teams, particularly within projects led by Prof. Carolin Kosiol. He has contributed to multiple funded research projects supported by BBSRC and The Royal Society, focusing on selection modeling and time-series genomic analysis. Labs and Teams: He is affiliated with a research group at the University of St Andrews working on statistical genomics and evolutionary modeling, contributing to open-source tools and datasets hosted on Zenodo. His work is part of a broader network in computational evolutionary biology with national and international collaborations.

• Structural Dynamics
• Nonlinear Dynamics
• Experimental Mechanics
• +۱۲ مورد دیگر

Matt Allen is a Professor in the Department of Mechanical Engineering at Brigham Young University (BYU), within the College of Engineering. He previously held faculty positions at the University of Wisconsin-Madison in the Engineering Physics Department, progressing from Assistant to Associate to Full Professor. His research group, the BYU Structural Dynamics Research Group, is actively engaged in experimental and analytical studies of complex dynamic systems. Ph.D. and M.S. in Mechanical Engineering, Georgia Institute of Technology (2005) B.S. in Mechanical Engineering, Brigham Young University (2001) Postdoctoral Appointee, Sandia National Laboratories (2005–2006) Dr. Allen’s research centers on structural dynamics, with a strong emphasis on nonlinear dynamics , experimental mechanics , and vibrations . His team develops innovative methods to characterize and model systems where traditional modeling fails—such as structures with large deformations, frictional joints, or complex interfaces. Key research thrusts include nonlinear normal modes, substructuring for nonlinear systems, damping characterization in bolted joints, and test-based model updating. His work bridges engineering structures and biomechanical systems, such as human gait dynamics. The research publications reflect a consistent focus on nonlinear structural dynamics , experimental system identification , and model validation . Trends show increasing integration of computational methods like harmonic balance and reduced-order modeling with experimental data, particularly for spacecraft, aircraft, and mechanical joints. The work is highly interdisciplinary, intersecting mechanical, aerospace, and civil engineering. Dominick J. DeMichele Award, Society for Experimental Mechanics B. J. Lazan Award, Society for Experimental Mechanics NASA NESC Group Achievement Award for work on nonlinear joints in the MPCV Young Investigator Award, Air Force Office of Scientific Research Dr. Allen has advised numerous graduate students, many of whom appear as co-authors on publications. He has secured over $3.3 million in research funding as principal investigator, with total project funding exceeding $5.5 million when including funds managed by collaborators. He is actively involved in professional service, including editorial roles for Experimental Mechanics and Experimental Techniques , and leadership in the Society for Experimental Mechanics. He teaches core courses in dynamics, vibrations, and modeling at both BYU and previously at UW-Madison. He leads the BYU Structural Dynamics Research Group, which focuses on developing experimental and analytical tools for understanding complex dynamic behavior in engineering and biological systems. The group emphasizes rigorous validation, interdisciplinary collaboration, and real-world application in aerospace, automotive, and biomechanical domains.

• Structural Dynamics
• Vibrations
• Acoustics
• +۸ مورد دیگر

Jonathan Blotter is a Professor in the Department of Mechanical Engineering at the College of Engineering, Brigham Young University (BYU). His research and teaching focus on structural dynamics, vibrations, acoustics, and experimental mechanics, with extensive use of laser-based measurement techniques. Education: Doctor of Philosophy, Mechanical Engineering, Virginia Polytechnic Institute and State University, 1996 Master of Science, Mechanical Engineering, Utah State University, 1993 Bachelor of Science, Mechanical Engineering, Utah State University, 1991 His research interests include structural dynamics, vibrations, acoustics, noise and vibration control, solid mechanics, electro-optic holography, and scanning laser Doppler vibrometry. His work bridges experimental techniques with computational modeling to analyze structural energy flow and dynamic behavior. He has made significant contributions to the understanding of power flow in plates and beams, nearfield acoustic holography, and flow-induced vibrations. The most recent articles reflect a consistent focus on experimental acoustics and vibration measurement. Key themes include noise control using microphone arrays, sound quality assessment in consumer products, optical interferometry for deformation measurement, and fluid-structure interaction in piping systems. These works span disciplines of mechanical engineering, acoustics, optics, and thermal sciences, with subfields such as vibroacoustics, metrology, and non-destructive testing. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: Dr. Blotter has advised numerous graduate students, including 14 Master’s students and one Ph.D. student. His advising spans experimental and computational projects in vibrations, acoustics, and mechanical testing. While specific grant details are not listed, his publication record suggests sustained research activity supported by academic and possibly industrial or federal funding, particularly in experimental mechanics and acoustics. Labs and Research Teams: Though not explicitly named, Dr. Blotter's work implies leadership in an experimental mechanics and acoustics laboratory at BYU. His collaborations with students and co-authors like Sommerfeldt, West, and Kimber suggest active research teams focused on laser-based measurement, noise control, and structural dynamics.

• Structural Dynamics
• Bridge Engineering
• Wind Engineering
• +۶ مورد دیگر

Ole Andre Øiseth is a Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU), specializing in structural dynamics with focus on bridges and marine structures. He leads the structural mechanics research group. Research Interests: Wind Engineering Bridge Aerodynamics Structural Health Monitoring Operational Modal Analysis Fluid-Structure Interaction Extreme Load Analysis Key Contributions: Developed nonlinear force models for bridge aerodynamics Advanced Kalman filter techniques for wind load identification Environmental contour methods for bridge design Automated monitoring systems for long-span bridges

Sherrilyn Roushمشاهده پروفایل

استاد

• Epistemology
• Formal Epistemology
• Knowledge
• +۷ مورد دیگر

Sherrilyn Roush is a Professor in the Department of Philosophy at University of California, Los Angeles (UCLA) , with a PhD in Philosophy from Harvard University (1999). She holds dual B.S. and B.A. degrees with highest distinction from Pennsylvania State University (1988). Her work spans Epistemology , Formal Epistemology , Scientific Method , and Bayesian Reasoning . Harvard University, PhD in Philosophy (1999) University of California, Los Angeles, Department of Philosophy Research interests include the epistemic value of knowledge, probabilistic reasoning in legal contexts, and the distinction between knowledge and understanding. She has extensively analyzed the role of statistical evidence in judicial verdicts, simulation methods in science, and epistemic self-doubt through a Bayesian framework. Her publications cover topics like the epistemic superiority of experiments over simulations, epistemic injustice in testimonial contexts, and evolutionary stable strategies for knowledge. While she has not been explicitly linked to scientific awards or formal student mentoring in the provided texts, her work intersects with medical epistemology through collaborations on self-knowledge in illness .

• Composite Materials
• Mechanical Engineering
• Structural Analysis
• +۳ مورد دیگر

Professor Albert Turon Travesa is a faculty member in the Department of Mechanical and Industrial Construction Engineering at the University of Girona (Spain), where he leads the Mechanics of Continuum Media and Theory of Structures research area. He serves as Head of Department and is affiliated with the AMADE research group. His research focuses on characterizing mechanical behavior of composite materials, developing non-deterministic modeling strategies for structural prediction, and advancing fatigue life estimation techniques. Key contributions include cohesive zone modeling, delamination growth analysis, and machine learning applications in materials science. He has authored over 100 top-tier journal papers, appears in Stanford's World Top 2% Scientists, and Research.com's Mechanical & Aerospace Engineering ranking. Awards include the 2022 ICREA Acadèmia grant and 2024 Air and Space Academy Medal for composite materials advancements in European aeronautics. His 15 most recent publications span fatigue modeling, delamination mechanics, and computational strategies, primarily applied to aerospace composites. Current work emphasizes probabilistic approaches, ply orientation effects, and residual strength prediction after damage accumulation. ICREA Acadèmia Award (2022) Air and Space Academy Medal (2024) Active collaborations with aeronautical industries include technology transfer projects on composite material implementation. His research combines experimental validation with numerical simulation to bridge theoretical modeling and industrial application.