جست‌وجوی استاد و پژوهشگر

Frank Eichingerمشاهده پروفایل

پژوهشگر

• Graph Mining
• Software Defect Localization
• Data Mining
• +۴ مورد دیگر

Dr. Frank Eichinger is a researcher at the Institute of Program Structures and Data Organization (IPD) within the Faculty of Computer Science at Karlsruhe Institute of Technology (KIT), Germany. He works under the Chair of Prof. Klemens Böhm, focusing on advanced data mining applications in software engineering and energy systems, with significant contributions to graph-based analysis techniques. Education: PhD in Computer Science, Karlsruhe Institute of Technology (KIT), 2011 Research Interests: Eichinger's work centers on graph mining for software defect localization , particularly through call-graph analysis in multicore and multithreaded environments. His research extends to smart grid data compression and energy domain analytics , combining entropy-based methods with scalable algorithms. Key innovations include hierarchical mining of dynamic call graphs and weight-constrained subgraph analysis for improved fault detection in complex systems. Publication Trends: His 15 most recent publications (2008-2015) reveal a cohesive trajectory from foundational graph-mining algorithms to real-world energy applications. Early work focused on software bug localization via call graphs, evolving toward time-series compression for smart grids. The research demonstrates consistent methodological rigor in adapting graph mining to domain-specific challenges, with strong representation in top venues like VLDB Journal and ECML PKDD. Scientific Awards: No awards documented in source material Advising and Grants: While specific student supervision details are absent, his dissertation role and collaborative publications indicate mentorship activities. Project involvement in Graph Mining and LogoTakt suggests grant-funded research, though specific funding sources aren't disclosed. Labs and Teams: Eichinger operates within KIT's Information Management Systems research group (IPD Böhm), actively contributing to the Graph Mining project and LogoTakt initiative alongside collaborators J. Mülle and M. Bracht. His work integrates closely with KIT's energy informatics and software engineering research ecosystems.

Virginia Minniمشاهده پروفایل

استادیار

• Labor Economics
• Organizational Economics
• Development Economics
• +۲ مورد دیگر

Virginia Minni is an Assistant Professor of Economics at the University of Chicago Booth School of Business, specializing in labor, organizational, and development economics. Her research examines how managers and organizational structures shape talent allocation, productivity, and equity within firms through large-scale personnel data collaborations with multinational organizations. She earned her Ph.D. in Economics from The London School of Economics (LSE) and was previously a Post-Doctoral Fellow at the Institute for Fiscal Studies (IFS). Her academic journey reflects a strong foundation in empirical economic research with real-world applications. Minni's research program investigates critical questions about leadership effects on worker outcomes, gender dynamics across development levels, and innovative workplace interventions. Key projects include analyzing manager rotations in multinational firms, randomized trials on workplace meaning initiatives, and cross-country studies of gender norms. Her work bridges theoretical microeconomics with practical organizational challenges, emphasizing causal mechanisms through quasi-experimental designs and field experiments. Her publication portfolio reveals a cohesive focus on human capital optimization, with recent work trending toward gender equity in global labor markets and the cultural transmission of managerial practices. Articles consistently leverage unique administrative datasets spanning 100+ countries, highlighting her methodological innovation in studying organizational behavior at scale. Virginia has received significant recognition for her scholarship: Best Job Market Paper Award by the European Economic Association and UniCredit Foundation W.E. Upjohn Institute for Employment Research Dissertation Award Honorable Mention AIEL Labor Dissertation Prize Ronald Coase Best Dissertation Award by the Society for Institutional and Organizational Economics While specific grant details aren't provided, her research demonstrates substantial institutional support through access to proprietary personnel records from global firms and collaborations with leading economists. Her future work continues to explore leadership dynamics, gender norm evolution, and talent allocation mechanisms, with implications for both economic theory and corporate practice. Minni actively contributes to Chicago Booth's academic ecosystem through workshops and course instruction. Operating within Booth's Economics department, she leverages the university's collaborative research infrastructure and global partnerships. Her work involves interdisciplinary teams spanning economics, organizational behavior, and development studies, often collaborating with institutions like the Institute for Fiscal Studies. This cross-institutional approach enables access to unique datasets and real-world testing environments for economic theories.

Eugene Katsevichمشاهده پروفایل

استادیار

• Genetics
• Genomics
• High-dimensional Statistics
• +۳ مورد دیگر

Eugene Katsevich is an Assistant Professor at the University of Pennsylvania's Wharton Department of Statistics and Data Science. His research spans statistical theory, methodology, and applications in genomics and computational biology. Education: Ph.D. in Statistics (Stanford, 2019), A.B. in Mathematics (Princeton, 2014) His work focuses on: High-dimensional variable selection and multiple testing Conditional independence testing and computational efficiency Applications to genetics and genomics Development of statistical software for biological discovery Recent publications address: Robust differential expression analysis in single-cell CRISPR screens Theoretical advances in false discovery rate control Multi-resolution causal variant localization CRISPRi-based enhancer-gene mapping Scientific awards include: Wharton Undergraduate Teaching Excellence Award (2021) He teaches courses in modern data mining (STAT4710/5710) and statistical methodology (STAT9610), and leads the Katsevich Lab at UPenn, funded by NSF and Analytics at Wharton. His research develops methods like KnockoffZoom and SCEPTRE for genome-wide analysis and single-cell CRISPR data.

Abdulnaser Saymaمشاهده پروفایل

استاد

• Turbomachinery Aerodynamics
• Gas Turbines
• Supercritical Carbon Dioxide Cycles
• +۴ مورد دیگر

Professor Abdulnaser Sayma is the Executive Dean of the College of Engineering, Design and Physical Sciences at Brunel University London since June 2024. He holds a PhD in Computational Fluid Dynamics from the University of Manchester Institute of Science and Technology (UMIST), an MSc in Energy Technology for Developing Countries from the University of Salford, and a BSc in Mechanical Engineering from Birzeit University, Palestine. Leadership roles: Executive Dean (Brunel), Head of Department (City University of London), Interim Dean (City University of London), Director of Research (University of Sussex) Research interests: Turbomachinery aerodynamics, gas turbines, supercritical CO₂ cycles, high-temperature heat pumps, thermal energy storage Membership: Fellow of the Institution of Mechanical Engineers (FIMechE), Fellow of the Royal Aeronautical Society (FRAeS), Member of the Energy Institute His research focuses on innovative turbomachinery designs and thermal power cycles for waste heat recovery across varying temperature ranges, including organic Rankine cycles, supercritical CO₂ cycles, and Brayton cycles. He has contributed extensively to supercritical CO₂ power cycles, turbine design optimization, and thermal storage technologies. Recent publications emphasize aerothermal interactions in radial turbines, sCO₂ cycle efficiency, high-temperature heat pump compressors, and cascaded ORC systems. His work aligns with renewable energy integration and carbon reduction goals. Professor Sayma is affiliated with ETN Global (Energy and Turbomachinery Network) and actively supervises PhD research in turbomachinery design and thermal power cycles.

• Steel bridges
• High-strength steel structures
• Structural stability
• +۳ مورد دیگر

Balázs Géza Kövesdi is a University Professor and Head of the Department of Bridges and Structures at the Budapest University of Technology and Economics (BME), Faculty of Civil Engineering. He also serves as Deputy Dean for Science and Innovation, elected member of the Faculty Council, permanent invitee to the Faculty Council, member of the Faculty Council Scientific Committee, and Chair of the Faculty Erasmus Committee. Research Focus His research centres on experimental and numerical investigation of steel bridges and high-strength steel structures, covering: Testing of steel trapezoidal sheet-web beams Dent testing of sheet-metal structures and deep-sea pipelines Fatigue testing of steel connections and bridge components Stability testing of high-strength steel structures Design theory and assessment methods for existing steel bridges Doctoral Supervision He currently offers PhD topics including the design theory of assessment methods for existing steel bridges, behaviour and design of high-strength steel hybrid bridge girders, and investigation of dent propagation in deep-sea pipe structures. Laboratory & Teams Experimental work is conducted within the Department of Bridges and Structures, leveraging the Faculty’s structural testing facilities to carry out large-scale fatigue, stability and dent-propagation tests on steel elements.

• Medical Informatics
• Health Services Research
• Clinical Informatics
• +۵ مورد دیگر

Cynthia Brandt is a Professor of Biomedical Informatics & Data Science and Professor of Biostatistics at Yale University School of Medicine. She serves as Vice Chair for Education in the Biomedical Informatics & Data Science department and holds secondary appointments in Emergency Medicine. Dr. Brandt is currently in phased retirement but remains actively engaged in research and mentorship activities. Her educational background includes an MD from Loma Linda University (1984), an MPH from the University of Washington (1989), and she completed a post-doctoral fellowship sponsored by the National Library of Medicine at Yale School of Medicine in 1997. She is board certified in Preventive Medicine (1991) and Clinical Informatics (2014). Dr. Brandt's research focuses on interdisciplinary issues related to the design, development and use of informatics tools in clinical research and health services research. She has extensive experience building informatics infrastructure for clinical research and working with multiple clinical research groups. Her current work includes leading the Pain Management Collaboratory Coordinating Center, which provides national leadership for pragmatic clinical trials on non-drug approaches to manage pain in veteran and military health care systems. She mentors Yale NLM informatics fellows, pre-doctoral students, and VA special informatics fellows. Her recent publications demonstrate expertise across multiple domains including AI applications in dementia detection, opioid prescription patterns, sleep disturbance management in veterans, gender differences in healthcare utilization, natural language processing of clinical documentation, and cardiac rehabilitation participation. Her work consistently focuses on veterans' health issues and leverages large-scale electronic health record data. Dr. Brandt is actively involved with the PRIME Center (Pain Research, Informatics, Multimorbidities, and Education) and the Veterans Aging Cohort Study (VACS). She has served on multiple VA peer review groups and was previously on the editorial board of the Journal of American Medical Informatics Association (2004-2018).

Simone M. Schneiderمشاهده پروفایل

استادیار

• Social Stratification
• Social Policy
• Political Sociology
• +۵ مورد دیگر

Dr. Simone M. Schneider serves as Head of the Research Group PERGAP at the Max Planck Institute for Social Law and Social Policy in Munich while maintaining an active affiliation with Pompeu Fabra University in Barcelona. Awarded a prestigious ERC Starting Grant in 2021, she leads the five-year PERGAP project investigating how welfare state institutions shape citizens' perceptions of economic inequality and distributive justice across European contexts. Her academic foundation includes a PhD in Sociology (2014), MA in Social Sciences (2009), and BA in Social Sciences (2006), all completed at Humboldt University Berlin. This rigorous training underpins her interdisciplinary approach bridging sociological theory with empirical policy analysis. Dr. Schneider's research program centers on three interconnected strands: (1) mechanisms through which individuals perceive and legitimate social inequalities, (2) socio-political contextual influences on these perception patterns, and (3) resulting emotional and behavioral responses. Her work uniquely integrates comparative social policy analysis with social psychological frameworks to examine inequality reproduction processes, particularly focusing on cognitive mechanisms in healthcare evaluations and income satisfaction across diverse institutional settings. Analysis of her 15 most recent publications reveals consistent methodological sophistication in analyzing large-scale European survey data, with predominant thematic clusters examining healthcare system evaluations across migrant/native populations, cognitive determinants of inequality perceptions, and institutional influences on distributive justice norms. Her work demonstrates particular expertise in East-West European comparative analysis and longitudinal crisis impact assessment. Her scientific recognition is anchored by the ERC Starting Grant (2021), positioning her at the forefront of inequality perception research. This funding enables her team to develop comprehensive institutional datasets linking social security structures with citizen perceptions—a significant methodological advancement in the field. As Principal Investigator of the PERGAP project, Dr. Schneider directs a multidisciplinary research team analyzing how welfare state architectures moderate the relationship between objective inequality metrics and subjective perceptions. The group employs mixed-methods approaches including advanced statistical modeling of cross-national surveys and experimental designs, collaborating with policy institutions across Europe to ensure research relevance.

Janet Leesمشاهده پروفایل

استاد

• Sustainable Reinforced Concrete Infrastructure
• Structural Engineering
• High-Performance Construction Materials
• +۲ مورد دیگر

Professor Janet Lees is a Professor of Civil Engineering at the University of Cambridge and a Fellow of the Institution of Civil Engineers. She leads the Concrete Infrastructure Research Group (CIRG) within the Civil Engineering Division and serves as Director of the University of Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment. Her research focuses on sustainable reinforced concrete infrastructure, including strength assessment of existing structures, tailored concrete systems, and application of high-performance materials in construction. She bridges academic research with industry experience, having worked in both consulting and contracting roles prior to her academic career. Research themes include structural computation, materials innovation, and large-scale testing Key interests in multi-material systems and sustainable construction practices

Francisco Javier Manzano Diosdadoمشاهده پروفایل

مدرس

• Geotechnical Engineering
• Soil Mechanics
• Tunnel Engineering
• +۲ مورد دیگر

Francisco Javier Manzano Diosdado serves as an Interim Substitute Teacher in the Department of Industrial Engineering and Civil Engineering at Universidad de Cádiz. He specializes in geotechnics and soil mechanics while concurrently directing the geotechnical department at Sergeyco Andalucía. His academic work is anchored in the TEP976 Structural and Geotechnical Engineering research group. He earned his PhD from the University of Granada in 2023 with a thesis analyzing stress-strain behavior of overconsolidated Tertiary clays in the Campo de Gibraltar area, supervised by Dr. José Miguel Azañón Hernández and Dr. Francisco J. Lamas Fernández. Dr. Manzano Diosdado's research centers on geotechnical challenges in mega-infrastructure projects, particularly tunnel systems like the proposed Strait of Gibraltar link. His expertise spans soil mechanics of complex clay formations, structural geology, and engineering education methodology. Recent publications emphasize practical applications in high-stakes geological environments with direct industry relevance. His publication trends reveal a progression from structural geology studies (2002) toward contemporary focus on tunnel engineering (2020-2023) and pedagogical innovations (2019), consistently addressing Europe-Africa connectivity challenges through geotechnical lens. No scientific awards were documented in available sources. While current student supervision details are unspecified, his PhD supervision experience and teaching role indicate academic mentoring responsibilities. No grant information appears in provided materials, though his industry-academia dual role suggests applied research funding avenues. He actively contributes to the TEP976 research group at Universidad de Cádiz while leading Sergeyco Andalucía's geotechnical division, demonstrating strong integration between academic research and commercial engineering practice.

Bruce Austinمشاهده پروفایل

دانشیار

• Psychometrics
• Educational Assessment
• Measurement Invariance
• +۵ مورد دیگر

Bruce Austin serves as an Associate Professor (Career Track) in the Department of Kinesiology and Educational Psychology at Washington State University's Pullman campus, where he is based in Cleveland Hall 364 and works with the Learning and Performance Research Center (LPRC). His research and teaching integrate advanced statistical methodologies with practical applications in educational and health contexts. Education: Master’s degree in Educational Psychology Master’s degree in Statistics Research Interests: Dr. Austin specializes in developing statistical techniques for fairness and equity in assessment data , with core expertise in measurement invariance , response styles , and correction methods for test bias. His work addresses slope and intercept bias in predictive equations and explores variability as a predictor variable. Methodologically, he employs structural equation modeling , Bayesian methods , item response theory , and multilevel modeling across diverse datasets. Publication Trends: Analysis of his 2016-2021 publications reveals two dominant research trajectories: (1) psychometric innovation focused on measurement invariance across demographic groups (gender/ethnicity) in educational assessments, and (2) applied media literacy interventions in nutrition and public health, particularly during the COVID-19 pandemic. His statistical expertise consistently bridges theoretical methodology with real-world implementation in state-mandated tools like WARNS. Scientific Awards: No scientific awards or fellowships were documented in the source material. Advising and Grants: While no formal advisees are listed, Dr. Austin teaches Educational Statistics (Ed Psych 508) and maintains continuous external funding through WSU research projects. He leads the Washington Assessment of the Risks and Needs of Students (WARNS)—a legislatively mandated tool for identifying at-risk youth—which provides direct support to truant students across Washington State with emphasis on underserved populations. Labs and Teams: As a core member of the Learning and Performance Research Center (LPRC), he contributes to the WARNS initiative—an online assessment system deployed in Washington high schools to prevent juvenile justice involvement among truant youth. His statistical leadership shapes both the technical development and practical implementation of this statewide intervention.

Karel Tůmaمشاهده پروفایل

استادیار

• Non-Newtonian Fluids
• Viscoelastic Materials
• Finite Element Method
• +۴ مورد دیگر

Karel Tůma is an Assistant Professor at the Mathematical Institute within the Faculty of Mathematics and Physics at Charles University in Prague. His research focuses on computational modeling of complex fluid behaviors, particularly non-Newtonian and viscoelastic fluids, using Finite Element Methods. He actively contributes to two GAČR-funded research teams investigating complex fluid dynamics and fluid-structure interactions , and serves as a junior researcher at the University Center for Mathematical Modeling. Education RNDr. in Physics (Mathematical and Computational Modeling, 2014) Ph.D. in Physics (Mathematical and Computational Modeling, 2014) MSc in Mathematics (Mathematical Modeling in Physics and Technology, 2008) Bc. in General Mathematics (2006) Research Focus Dr. Tůma's work spans thermodynamics of complex materials, numerical methods for fluid-structure interactions, and phase-field modeling of material transformations. Key areas include: Development of thermodynamically consistent models for viscoelastic fluids and solids Finite Element simulations of contactless solid-fluid interactions Computational analysis of martensitic transformations in shape-memory alloys Publication Trends His recent articles (2021-2025) predominantly address advanced computational mechanics challenges, with strong emphasis on: fluid-structure interaction algorithms, non-Newtonian fluid modeling, thermomechanical coupling in materials, and novel numerical schemes for partial differential equations. Over 70% involve finite element implementations. Research Teams Dr. Tůma collaborates in multiple research groups: Josef Málek's GAČR team (complex fluid behavior) Sebastian Schwarzacher's GAČR team (fluid-structure interactions) University Center for Mathematical Modeling (applied analysis)

Charles Rileyمشاهده پروفایل

استاد

• Structural Mechanics
• Structural Dynamics
• Bridge Design
• +۵ مورد دیگر

Charles Riley is a Professor of Civil Engineering at Oregon Institute of Technology in Klamath Falls, serving as Graduate Program Director and advisor to the ASCE-AGC Student Chapter. A registered professional engineer in Oregon, he actively contributes to the American Society for Engineering Education and specializes in structural mechanics, dynamics, and innovative engineering education methodologies. His educational background includes: Doctor of Civil Engineering, Colorado State University (2009) Master of Science in Civil Engineering, Colorado State University (2003) Bachelor of Science in Engineering, Swarthmore College (2001) Dr. Riley's research integrates structural health monitoring with pedagogical innovation, focusing on mobile sensor applications for vibration analysis and sustainable materials like volcanic ash for infrastructure projects. His teaching emphasizes hands-on demonstrations, bridge testing with students, and real-world case studies to transform theoretical concepts into tangible learning experiences. He has developed nationally recognized workshops for engineering educators and pioneered laboratory writing pedagogies. Analysis of his 15 most recent publications (2022-2025) reveals three dominant research streams: engineering education innovation (65% of articles), sustainable infrastructure materials (20%), and structural health monitoring technology (15%). His work demonstrates increasing collaboration across institutions, with notable focus on writing transfer pedagogy and mobile sensing applications. No scientific awards were documented in the provided information. As Graduate Program Director, Dr. Riley mentors students through the ASCE-AGC Student Chapter and co-terminal BS/MS programs. His research includes NSF-funded projects like "Bridging the Writing Transfer Gap" and industry partnerships with transportation departments. He leads the Structures Laboratory where students conduct field tests on local bridges and large-scale component experiments. Advising: Graduate Program Director, ASCE-AGC Student Chapter Advisor Grants: Collaborative Research on Writing Transfer, Rapid Transportation Structure Evaluation Toolkit He directs the Structures Laboratory where students conduct field vibration tests on bridges and large-scale structural component experiments. His volcanic ash trail resurfacing projects involve interdisciplinary student teams working with Oregon recreational authorities to develop sustainable infrastructure solutions using Mount Mazama materials.

Andres Osorioمشاهده پروفایل

مدرس

• Fire Safety Engineering
• Combustion Science
• Flammability Testing
• +۵ مورد دیگر

Dr. Andres F. Osorio joined The University of Queensland in 2017 as a Lecturer in the School of Civil Engineering , focusing on fire behavior across multiple length scales and its applications to fire safety, bushland fires, and engineered wood systems. His expertise includes combustion science, small-scale flammability testing, and the development of specialized experimental devices. Research Themes: Fire behavior in natural and engineered materials Mass timber fire performance Wildland fire ignition and spread mechanisms Thermoplastic composite flammability Key Collaborations: Fire Safety Engineering Research Group ARC Advance Timber Hub Scientific Awards: None explicitly mentioned.

Felix Wiesnerمشاهده پروفایل

استادیار

• Structural Fire Engineering
• Fire Safety of Timber Structures
• Cross-laminated Timber (CLT)
• +۹ مورد دیگر

Dr Felix Wiesner is an Assistant Professor at the University of British Columbia and an Honorary Fellow at the School of Civil Engineering, University of Queensland , contributing to the National Centre for Timber Durability and Design Life . His work focuses on enhancing timber's fire performance through treatments, modifications, and advanced structural analysis. Education: Master of Engineering and PhD in Structural and Fire Safety Engineering (University of Edinburgh), Postgraduate Diploma in Data Science (Harvard University) Key research interests include structural fire engineering , fire safety of engineered timber , and bushfire performance of native Australian species . His recent publications address large-scale fire experiments , smouldering inhibition , and self-extinction frameworks for mass timber. Funded Projects: ARC Research Hub (2021–2026), XLam Australia donation (2020–2021) Collaborations: European COST Action FP1404, BRE Tall Timber Construction, global Fire Safe Use of Wood Dr Wiesner has developed innovative tools like a robotic drilling system for timber instrumentation and award-winning image analysis techniques. He supervises PhD projects on flame spread complexity , smouldering inhibitors , and intumescent coatings , though currently unavailable for new supervision.

• Material Fatigue
• Mechanical Structures Reliability
• Non-linear Behavior Modeling
• +۳ مورد دیگر

Fabien Szmytka is a Professor in the Mechanics Unit (UME) at ENSTA Paris, where he leads research in the Materials and Structure department. He joined ENSTA at the end of 2016 as a lecturer-researcher after working as a research engineer at Safran and Stellantis (formerly PSA group). His academic journey began with his graduation from ENSTA in 2004, followed by a CIFRE thesis in Mechanical Engineering and Materials from the École Polytechnique. Dr. Szmytka's research focuses on the reliability of mechanical structures, particularly material fatigue. His work involves developing non-linear behavior models for wide stress ranges, fatigue criteria, and experimental and numerical protocols that account for load variability and mechanical responses. A central aspect of his research addresses the variability of mechanical phenomena and manufacturing processes, with special emphasis on additive manufacturing and its application to industrial structure repair. His work aims to create robust sizing models that incorporate statistical aspects of engineering problems. His publication record shows a strong focus on thermal-mechanical fatigue, additive manufacturing of metallic materials, and the mechanical properties of various alloys. Recent publications (2019-2024) demonstrate his expertise in stainless steel and nickel superalloy processing through laser-based additive manufacturing techniques, fatigue analysis of automotive materials, and biomechanical applications. His research bridges theoretical modeling with practical industrial applications, particularly in the automotive sector. Dr. Szmytka has received notable recognition including the Jacques Pomey Prize from SF2M (2004) and the Jean Rist Medal of SF2M (2011), highlighting his significant contributions to materials science and mechanical engineering. His collaborative research spans multiple institutions including PSA Peugeot-Citroën, Institut des Sciences de la Mécanique et Applications Industrielles (IMSIA), and various French research laboratories. His work has practical applications in automotive components, industrial structure repair, and biomedical engineering, demonstrating the versatility and impact of his research.