جست‌وجوی استاد و پژوهشگر

Roland Albert Matsouakaمشاهده پروفایل

دانشیار

• Causal Inference
• Biostatistics
• Clinical Trials
• +۸ مورد دیگر

Roland Albert Matsouaka is an Associate Professor in the Department of Biostatistics and Bioinformatics at Duke University. He serves as a Faculty Statistician at the Duke Clinical Research Institute (DCRI) and holds leadership roles as Associate Chair for Diversity and Inclusion and Co-Leader of the Outcomes, Endpoints, and Estimands (O2E) program at DCRI. His work spans methodological and applied research in biostatistics, with a focus on causal inference and comparative effectiveness. Education: Ph.D. in Biostatistics (2012), M.S. in Biostatistics (2007) from Harvard University. Research Interests: Matsouaka specializes in nonparametric and semiparametric methods , causal inference , and statistical techniques for clinical trials and observational studies. His applications span cardiovascular diseases , transplant medicine , and health equity . Publication Trends: Recent work includes statistical methods for social determinants of health , hierarchical endpoints in clinical trials , and transplant eligibility models . Collaborations leverage large registries like the Get With The Guidelines (GWTG) and STS-ACC Transcatheter Valve Therapy Registry . Mentorship: He mentors students and clinical fellows across Duke programs, including UrogynCREST and REACH Equity , with a focus on health disparities and data science . Grants: Current projects include studies on anticoagulant risks in stroke patients (NIH, UT Southwestern), transplant inequities (Vanderbilt), and stroke care quality (UCLA, MGH).

Martin Lindströmمشاهده پروفایل

استاد

• Social Capital
• Public Health
• Health Policy
• +۶ مورد دیگر

Martin Lindström is a Professor in Social Medicine and Health Policy at Lund University's Faculty of Medicine, with additional appointments at the Centre for Economic Demography and EpiHealth: Epidemiology for Health. His research spans public health, social epidemiology, and health policy, with a particular focus on social capital and its relationship to health outcomes. His research interests center on social capital as a determinant of health, examining how social participation, trust in institutions, and community engagement affect physical and mental health outcomes. Dr. Lindström investigates these relationships through both cross-sectional and longitudinal study designs, employing individual- and multilevel data analyses across various contextual levels including neighborhoods, municipalities, counties, and countries. His work addresses critical public health issues including health behaviors (tobacco smoking, physical activity, diet, alcohol), mental health, mortality patterns, healthcare access, and neighborhood safety. Analysis of his recent publications reveals a consistent focus on social determinants of health, with increasing attention to contemporary issues like pandemic impacts, AI applications in health equity assessment, and arts-based interventions for mental health. His research increasingly incorporates advanced statistical methodologies including the Analysis of Individual Heterogeneity and Discriminatory Accuracy (AIHDA) framework. Dr. Lindström has been actively involved in supervising graduate students, with documented supervision of at least eight students including Johanna Ahnquist whom he co-supervised from 2006-2011. His research has been supported by various funding sources, including participation in the Landskrona Population Study funded by The Bank of Sweden Tercentenary Foundation. His work contributes significantly to multiple UN Sustainable Development Goals, particularly those related to good health and well-being, reduced inequalities, and sustainable communities. Through the Centre for Economic Demography and EpiHealth, he collaborates with interdisciplinary teams to advance understanding of the complex relationships between social structures and population health.

• Interfaces in Organizations
• Communication and Discourse in Organizations
• Participation and Collective Action
• +۷ مورد دیگر

Angelika Schmidt is an Associate Professor at the Vienna University of Economics and Business , serving as Interim Institute Director since October 2024. She has been affiliated with the university since 1994, acting as a Contract Lecturer since 2012 and holding leadership roles in academic staff advocacy as former Chairwoman of the Works Council (2013-2021) and current Member of Vienna Chamber of Labor (since 2024). Education: Habilitation (2012), PhD (2000), and Diploma (1992) all from Vienna University of Economics and Business Research Focus: Multilevel organizational analysis spanning micro-level work-life interfaces , meso-level commitment factors , and macro-level labor frameworks . Key areas include organizational metaphors, feminist activism, new employment models (gig/crowdworking), and participatory action in public welfare. Her 2024 article Hegemonic Structures and Practices in Labor Relations at Austrian Universities and 2025 Elgar Encyclopedia contributions highlight her interdisciplinary approach to gender discrimination and structural power dynamics. Academic Leadership: Module Leader for Change, Creativity, and Innovation in the Management Master's program and co-leader of research projects like Gender Equality in Academia (2008-2015) and Complexity Management (2016-2018). She maintains memberships in Academy of Management (AOM) European Academy of Management (EURAM) European Group for Organizational Studies (EGOS) Scientific Recognition: Recipient of the 2005 Dr. Maria Schaumayer Habilitationsstipendium 2001 Austrian Research Association Printing Cost Grant Teaching Philosophy: Integrates experiential learning and systemic consulting into organizational research, emphasizing didactic implementation of change management principles.

• Power Electronics
• Pulse Width Modulation (PWM) Techniques
• Multilevel Converters
• +۵ مورد دیگر

Ahmed Ismail Mohamed Ali is an Assistant Professor at the Department of Electrical Engineering , Faculty of Engineering , South Valley University , Egypt, and a Post-Doctoral Research Fellow at Aalto University , Finland. He holds a B.Sc. and M.Sc. in Electrical Engineering from South Valley University (2013, 2017) and a Ph.D. in Electrical Engineering from Nagoya Institute of Technology , Japan (2022). Education: B.Sc. in Electrical Engineering, South Valley University (2013) M.Sc. in Electrical Engineering, South Valley University (2017) Ph.D. in Electrical Engineering, Nagoya Institute of Technology (2022) Research Interests include power electronics, specifically PWM techniques for bidirectional AC/DC converters , single-phase and three-phase multilevel converters , modular multilevel converters (MMCs) , isolated grid-tied differentially based DC-AC inverters , EV battery chargers , and renewable energy applications . His work focuses on improving efficiency, power quality, and complexity in renewable energy systems and electric vehicle charging infrastructure. Publications (15 most recent) span 2018–2025, with a strong emphasis on photovoltaic (PV) inverters , multilevel converter topologies , model predictive control (MPC) , and leakage current minimization . Recent work (2024–2025) explores advanced modulation strategies and grid-tied renewable energy integration. Laboratory Affiliation: He is part of the Computational Electromechanics research group at Aalto University, contributing to postdoctoral research in power electronics and renewable energy systems.

• Financial Economics
• Portfolio Optimization
• Risk Management
• +۴ مورد دیگر

Fernando Garcia is a Professor at the Universitat Politècnica de València , affiliated with the School of Economics and Social Sciences. His research focuses on Financial Economics, Portfolio Optimization, Risk Management, and Sustainable Finance, with a strong emphasis on Multicriteria Decision Analysis and Computational Finance. PhD in Business Administration and Management (Universitat Politècnica de València, 2005) Licenciado in Business Administration and Management (Universitat de València, 1999) Diplom. Kaufmann (Hochschule für Wirtschaft Bremen, 1998) His publications highlight trends in socially responsible investing, index tracking, and credit risk management using advanced methodologies like fuzzy logic, neural networks, and goal programming. He has collaborated extensively with researchers such as Jairo González-Bueno, Francisco Guijarro, and Javier Oliver across 21 works since 2009.

• Social Studies Education
• Citizenship Education
• Global Education
• +۳ مورد دیگر

Anatoli Rapoport serves as Professor in the Department of Curriculum and Instruction at Purdue University's College of Education, where he has held progressively senior positions since 2000. His expertise spans social studies education, citizenship education, and global educational frameworks, with particular focus on post-Soviet educational contexts and U.S. comparative practices. His educational background includes: Ph.D. in Social Studies Education, Purdue University (2006) M.S. in Social Studies Education, Purdue University (2002) B.A. in Foreign Language Education, Tula State Pedagogical University, Russia (1979) Rapoport's research examines the complex interplay between globalization, citizenship identity formation, and educational policy. He investigates how educational systems navigate tensions between national identity and global citizenship, with increasing attention to technological disruptions in social studies pedagogy. His work critically analyzes patriotic education frameworks in transitional societies while developing constructive models for democratic citizenship education. Recent publications reveal evolving research trajectories: early work focused on post-Soviet civic identity construction, shifting toward global citizenship frameworks, and most recently integrating artificial intelligence's impact on social studies education. This progression reflects growing emphasis on technology-mediated global learning and the challenges of teaching citizenship amid rising nationalism. His distinguished recognition includes: Doctor Honoris Causa from the Academy of Science of Moldova (2017) Outstanding Leadership in Globalization Award from Purdue University (2020) Fulbright Scholarship Board Certificate of Appreciation (2015) Multiple Curriculum & Instruction Excellence Awards at Purdue Rapoport directs substantial externally funded initiatives, primarily through U.S. Department of State programs like the Benjamin Franklin Transatlantic Fellowship ($750,000, 2022-2024). His grant portfolio demonstrates sustained commitment to international educational exchange, teacher development, and cross-cultural curriculum design, with particular focus on Eastern Europe and Central Asia. These projects facilitate substantive collaboration between U.S. and international educators while generating empirical research on global citizenship education. His leadership extends through extensive grant-funded international programming, though specific laboratory structures aren't documented. Current initiatives position him at the intersection of educational technology, global citizenship theory, and practical teacher development.

• Applied Statistics
• Multilevel and Longitudinal Data Analysis
• Work Psychology
• +۳ مورد دیگر

Chris Stride is a Senior Lecturer in Statistics at the Sheffield University Management School within the University of Sheffield . As an applied statistician, he specializes in complex multilevel and longitudinal data analysis, with expertise in SPSS, Mplus, and R. His research spans diverse social science domains, including sports psychology, workplace well-being, and public health. Education : No explicit details provided Research interests include: Statistical methods in non-quantitative disciplines Perfectionism and well-being Sports-related behaviors (cheating, statuary) Nostalgia branding Urban design impacts on older adults' well-being Recent article trends focus on organizational behavior, public health, sports sociology, and psychological modeling using advanced statistics. Key keywords: behavioral health, multilevel analysis, social identity, emotional regulation, landscape psychology, and workplace dynamics. Scientific awards : Chartered Statistician (Royal Statistical Society) Fellow of the Royal Statistical Society Chartered Scientist (Science Council) ASSESS Committee Member Teaching includes multivariate statistics modules (MGT6167, PSY6010, PSY6210) and SPSS training for postgraduates. He also runs advanced methods day-schools for Social Science DTC students and offers a weekly Statistics Clinic. Professional activities encompass statistical consultancy for Barclays Bank, NHS, and Department for Education; expert advisory roles in national data collection; and advanced methods training at over 100 universities worldwide. He co-leads the Sporting Statues Project and contributes to journals as Associate Editor for the Journal of Quantitative Analysis in Sports .

• Power Systems
• Power Electronics
• Renewable Energy Integration
• +۳ مورد دیگر

Vaibhav Nougain is a Lecturer at the School of Engineering, University of Aberdeen, UK, since 2025. His research focuses on power systems interfaced with power electronics, emphasizing renewable energy integration and DC grid stability. Ph.D. in Electrical Engineering (2022), Indian Institute of Technology Delhi B.Tech in Electrical Engineering (2017), Delhi Technological University His work spans fault location algorithms for DC microgrids, HVDC simulation, and resilient protection against cyber intrusion. He developed a mathematical model for real-time fault detection across all DC voltage levels, significantly improving grid reliability. Recent research trends include machine learning applications in HVDC systems and adaptive control strategies for microgrids. Publications highlight collaborations with institutions like Technical University of Denmark and TU Delft. Grid India Power System Awards 2024 Foundation for Innovation & Technology Transfer (FITT) Award 2023 Best PowerWeb Paper 2023 Nougain is a member of the Aberdeen HVDC Research Centre and the IEEE, contributing to advancements in renewable energy integration and power system protection. His work has been recognized in climate action and energy research categories.

• Neuroinformatics
• Causal Inference
• Machine Learning
• +۳ مورد دیگر

Akshey Kumar is a Researcher at the University of Vienna 's Faculty of Computer Science , specializing in the Neuroinformatics research group. His work focuses on bridging neuronal activity with cognitive modeling through causal inference and computational frameworks. Educational background includes B.Sc. , M.Sc. , and completion of a PhD thesis in 2023 on causal time-series abstractions. Research interests span neuroinformatics, causal inference, machine learning, computational neuroscience, and data analysis. His projects emphasize developing algorithms for causal feature learning and modeling cognitive states from neuronal data. Publication trends highlight interdisciplinary work combining neuroscience and computer science, with a focus on causal modeling techniques and their applications in understanding cognitive processes. Teaching roles : Co-instructor for Foundations of Data Analysis (6 ECTS) and Practical Software Course with Bachelor's Thesis (15 ECTS) at the University of Vienna since 2021. Collaborations : Works closely with researchers like Moritz Grosse-Wentrup, Claudia Plant, and Anja Meunier. Labs & Teams : Active member of the Neuroinformatics group at the Faculty of Computer Science, University of Vienna.

Rolando Burgosمشاهده پروفایل

استاد

• Power Electronics
• Modular Multilevel Converters
• High Power Density Converters
• +۵ مورد دیگر

Rolando Burgos is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, serving as Director of the Center for Power Electronics Systems (CPES). He holds a Ph.D. in Electrical Engineering from the University of Concepcion and has held roles at ABB Corporate Research and Virginia Tech since 2002. His research focuses on high-power density converters, grid power electronics, multi-level converter topologies, and stability analysis of power systems. He has authored over 460 publications and co-directed 80+ projects. Education: B.S. and M.S. in Electronics Engineering (University of Concepcion, Chile), Ph.D. in Electrical Engineering (University of Concepcion, 2002). Research emphasizes modular multilevel converters , wide bandgap devices (SiC) , and grid integration of renewable energy . His work addresses challenges in medium/high-voltage applications, including capacitor voltage balancing , EMI mitigation , and converter efficiency optimization . Key contributions include: Development of 13.8 kV/1.1 MVA flying capacitor converters Advancements in SiC MOSFET parallelization and thermal management Innovative DC circuit breaker designs Scientific Awards: Seven prize paper awards from IEEE conferences. Grants/Advising: Over 80 sponsored projects and co-advising multiple graduate students. His lab focuses on high-density power electronics and power management systems . Labs/Teams: Leads CPES research initiatives in power electronics components and high-density integration, collaborating with industry partners like ABB and Indium Corporation.

Yi-Hsun Hsiehمشاهده پروفایل

پژوهشگر

• Power Electronics
• Resonant Converter Design
• Solid-State Transformers
• +۵ مورد دیگر

Yi-Hsun Hsieh is a Researcher at the Center for Power Electronics Systems (CPES) at Virginia Tech. His work focuses on advanced power electronics systems, including resonant converters, solid-state transformers, and modular multilevel converters. He specializes in high-frequency transformer design, power quality optimization, and high-power conversion technologies. His research addresses challenges in energy distribution, renewable energy integration, and high-efficiency power conversion. Key research areas include resonant converter modeling, insulation techniques for high-voltage applications, and control strategies for modular systems. Hsieh contributes to the development of efficient power electronics solutions for industries such as renewable energy systems, electric vehicles, and smart grids. His publications emphasize rigorous analysis of converter dynamics, small-signal modeling, and practical implementation of high-density power electronics. Hsieh collaborates with CPES's industry consortium to advance technologies like Global Intergrid and Power Management Modeling.

Kathleen Palm Reedمشاهده پروفایل

دانشیار

• Clinical Psychology
• Trauma Studies
• Substance Use Disorders
• +۴ مورد دیگر

Kathleen Palm Reed is an Associate Professor in the Psychology Department at Clark University. She holds a Ph.D. in Clinical Psychology from the University of Nevada, Reno (2004), and completed postdoctoral training at Brown University's Warren Alpert Medical School. Her research focuses on trauma, substance use disorders, and violence prevention, emphasizing Acceptance and Commitment Therapy (ACT) and emotion regulation. She has authored numerous articles on topics such as PTSD, intimate partner violence, and adolescent substance use. Education: Ph.D. in Clinical Psychology, University of Nevada, Reno, 2004 M.A. in Clinical Psychology, Minnesota State University, 1998 B.S. in Psychology, James Madison University, 1996 Research Interests: Dr. Palm Reed examines trauma recovery, substance use interventions, and prevention strategies for violence. Her work integrates ACT principles to address emotion regulation deficits in high-risk populations. Recent studies explore the impact of socioeconomic stress on trauma survivors and the role of stigma in treatment-seeking behaviors. Grants & Awards: Department of Justice Grant (2013–2016): 'Building Coalitions to Foster Change on College Campuses' focused on violence prevention programs. Grants & Advising: Her grants support multilevel violence prevention initiatives. She collaborates with colleagues on bystander intervention programs and studies the efficacy of ACT-based therapies. Her work bridges clinical practice and community outreach, emphasizing evidence-based strategies for marginalized populations. Labs/Teams: Engaged in interdisciplinary teams addressing trauma, substance use, and violence at Clark University and affiliated institutions. Collaborations include the Warren Alpert Medical School and the Association for Behavioral and Cognitive Therapies.

Jaehoon Leeمشاهده پروفایل

دانشیار

• Multilevel modeling
• Latent variable modeling
• Markov Chain Monte Carlo simulation
• +۴ مورد دیگر

Jaehoon Lee serves as an Associate Professor in the Educational Psychology, Leadership and Counseling department at Texas Tech University's College of Education, specializing in the Research, Evaluation, Measurement, and Statistics (REMS) concentration. He maintains cross-institutional roles as a faculty associate at Texas Tech University Health Science Center and adjunct associate professor at Baylor College of Medicine, demonstrating strong interdisciplinary engagement across education and medical research domains. His academic credentials include: B.A. in Industrial and Organizational Psychology from Sungkyunkwan University, South Korea (2001) M.S. in Experimental Psychology from Western Illinois University (2003) Ph.D. in Quantitative Psychology from the University of Kansas (2009) Dr. Lee's methodological expertise centers on advanced statistical techniques including multilevel modeling, latent variable modeling, Markov Chain Monte Carlo simulation, and propensity score analysis. His research specifically targets the evaluation of mixture models and Bayesian structural equation models using complex, less favorable datasets, addressing critical gaps in quantitative methodology for real-world applications. Analysis of his recent publications reveals a pronounced interdisciplinary trajectory spanning health sciences, education, and psychology. His work demonstrates consistent application of sophisticated statistical frameworks to diverse problems including telehealth implementation, cancer treatment efficacy, educational assessment design, and health intervention evaluation across global contexts from Malaysia to rural Texas. This pattern underscores his ability to bridge methodological rigor with practical domain challenges.

Karen Nielsenمشاهده پروفایل

استادیار

• Biostatistics
• Multilevel modeling
• Analysis of Physiological Data

Dr. Karen Nielsen is an Assistant Professor of Biostatistics in the Department of Population Health Sciences at Georgia State University's School of Public Health. She holds a Ph.D. (2017) and M.S. (2014) from the University of Michigan and a B.A. (2011) from the University of Oklahoma. Her research focuses on developing and applying statistical techniques for modern data challenges, including multilevel modeling and analysis of high-frequency physiological sensor data. She collaborates across disciplines such as psychology, gerontology, and public health.

Robert Bishopمشاهده پروفایل

استاد

• History and Philosophy of Science
• Philosophy of Physics
• Philosophy of Social Sciences
• +۴ مورد دیگر

Robert Bishop, Ph.D., is a Professor of Physics and Philosophy and the John and Madeleine McIntyre Chair of Philosophy and History of Science at Wheaton College since 2007. He holds degrees from the University of Texas at Austin: B.S. in Physics (1984), M.A. in Physics (1986), and Ph.D. in Philosophy (1999). His research focuses on the history and philosophy of science, philosophy of physics, and the philosophical implications of chaos and complex systems. He serves as area editor for the Internet Encyclopedia of Philosophy and critiques assumptions in science and theology. Education : B.S., Physics, University of Texas at Austin (1984) M.A., Physics, University of Texas at Austin (1986) Ph.D., Philosophy, University of Texas at Austin (1999) His research interests include determinism, irreversibility in statistical mechanics, nonlinear dynamics, and the intersection of science with free will, mind, and theology. Recent work explores cultural/ethical ideals in social sciences and the limitations of methodological naturalism. Publications span philosophy of science, physics, and interdisciplinary topics, emphasizing foundational questions in physical and social sciences. Notable works address contextual emergence theory, teleology, and critiques of evidentialist atheism. Awards : Fellow of the American Scientific Affiliation Bishop teaches courses on thermodynamics, particle physics, philosophy of science, and theories of origins. He actively engages in academic service, including editorial roles and interdisciplinary dialogue.