جستجوی استاد راهنمای دانشگاهی

Youngchan Kimمشاهده پروفایل

مدرس

• Quantum Biology
• Biophotonics
• Bioimaging
• +۳ مورد دیگر

Dr. Youngchan Kim is a Lecturer in Quantum Biology at the University of Surrey , serving as Director of the Quantum Biology Doctoral Training Centre (QB-DTC). He is affiliated with multiple departments including the School of Biosciences, Advanced Technology Institute, and Quantum Sciences Group. PhD in Physics (2011), Korea Advanced Institute of Science and Technology MSc in Physics (2008), KAIST BSc in Physics (2006), Chung-Ang University Graduate Certificate in Learning and Teaching (2022), Advance HE His research focuses on quantum phenomena in biological systems at physiological temperatures, particularly using femtosecond optical spectroscopy and genetically engineered fluorescent proteins to explore evolutionary adaptations and develop quantum-bio-inspired technologies like room-temperature single-photon sources. The 15 most recent publications span quantum biology, biophotonics, and optical spectroscopy, with particular emphasis on quantum coherence in biological systems , terahertz birefringence , fluorescent protein dynamics , and biomedical imaging innovations . These works demonstrate his interdisciplinary approach bridging physics, biology, and medical applications. As QB-DTC Director, he leads transdisciplinary initiatives fostering collaboration between quantum physics and biosciences. His technical expertise includes time-correlated single-photon counting , common-path interferometry , and ultrafast fluorescence depolarization techniques.

Ye Wangمشاهده پروفایل

استادیار

• Political Methodology
• Comparative Politics
• Public Policy
• +۳ مورد دیگر

Ye Wang is an Assistant Professor in the Department of Political Science at the University of North Carolina at Chapel Hill since 2022. He previously held postdoctoral and predoctoral research positions at UC San Diego’s School of Global Policy and Strategy (2020–2022). His research bridges political methodology and comparative politics, focusing on statistical tools for policy spillover effects, research transparency, and social learning under non-democratic regimes. He also explores electoral dynamics in contentious political contexts. Ye earned a PhD in Political Science from New York University (2021), with a committee including Nathaniel Beck, Matthew Blackwell, Adam Przeworski, Cyrus Samii, and Joshua Tucker. He holds an MA in Economics from Peking University (2014) and a BS in Mathematics from Fudan University (2011). He withdrew voluntarily from a concurrent PhD in Economics at the University of Wisconsin-Madison (2014–2015). His research interests emphasize causal inference methodologies and their application to understanding political phenomena in non-democratic settings. He develops statistical techniques to address interference in temporal, spatial, and networked data, while also studying how protests and international tensions impact political systems and scientific collaboration. Recipient of the John T. Williams Dissertation Prize (2020), Chiang Ching-kuo doctoral fellowship (2020), and NYU’s MacCracken fellowship (2015–2020). In advising and teaching, Ye has served as a teaching assistant for courses in political methods, comparative politics, and quantitative methods at NYU and the City University of Hong Kong. He has also taught workshops on quantitative methods at Renmin University and contributed to academic seminars at institutions like Yale and Tsinghua. His programming skills include C++, R, Python, GIS, and Stata, complementing his work in methodological research.

• Finance
• Financial Economics
• Quantitative Finance
• +۳ مورد دیگر

Ke Xu is an Assistant Professor at the Department of Finance, Faculty of Business and Economics, University of Victoria. His research bridges finance, econometrics, and cryptocurrency, focusing on market microstructure, high-frequency trading, and price discovery mechanisms. He has extensively studied Bitcoin ETFs, fractional cointegration models, and machine learning applications in financial markets. Key Research Areas: Market Microstructure High-Frequency Trading Cryptocurrency Dynamics Price Discovery Machine Learning in Finance Financial Econometrics Article Trends: Xu’s work spans empirical analyses of Bitcoin ETFs, volatility modeling (e.g., affine GARCH), and algorithmic trading strategies. His recent papers explore mini flash crashes using machine learning, regulatory impacts on market quality, and sustainable crypto portfolios.

Agnes Fauskeمشاهده پروفایل

پژوهشگر

• Family sociology
• Gender equality
• Demography
• +۳ مورد دیگر

Agnes Fauske is a Researcher at the Department of Sociology and Human Geography, University of Oslo (UiO), since August 2024. Previously, she was a PhD candidate at UiO (2020–2024) and a research assistant/adviser at the Norwegian Institute of Public Health (2019–2020). She holds an MA (2019) and BA (2016) in sociology from UiO. Her research focuses on family sociology, gender equality, demography, quantitative methods, and social science genetics. Key interests include fertility trends, policy impacts on family formation, and the interplay between genetics and societal factors. She teaches courses such as SOS1000 Introduction to Sociology and Quantitative Methods at UiO. Fauske contributes to projects like OPENFLUX and the Research Group on Social Inequalities and Population Dynamics. Her work bridges demographic analysis with policy evaluation, emphasizing causal methods. She collaborates widely, including with the Norwegian Demographic Society and the Norwegian Sociological Association.

• Public Policy
• Health Economics
• Substance Use
• +۳ مورد دیگر

Ashley Bradford is an Assistant Professor at the School of Public Policy within Georgia Tech's Ivan Allen College of Liberal Arts. Her research focuses on the economics of risky behaviors, substance use, and the impact of public policies on health outcomes in the U.S., particularly examining drug policy innovations and housing policy intersections. She holds a Ph.D. in Public Affairs from Indiana University, an MPA from the University of Georgia, and a B.A. in Sociology from the same institution. Her work bridges policy analysis and health economics, with recent studies addressing opioid reformulations, cannabis legalization effects on mental health treatment, and the interplay between evictions and healthcare outcomes. Her research has been published in high-impact journals such as Health Affairs and JAMA Internal Medicine , and featured in major media outlets like The New York Times and Forbes . Bradford joined Georgia Tech in 2023, continuing her focus on policy interventions to address systemic issues in healthcare access, addiction treatment, and housing stability. Her interdisciplinary approach combines rigorous quantitative analysis with real-world policy applications.

Ambarish Kulkarniمشاهده پروفایل

استادیار

• Multi-scale molecular modeling
• Data science for materials discovery
• Catalysis
• +۵ مورد دیگر

Ambarish Kulkarni is an Assistant Professor in the Department of Chemical Engineering at the University of California, Davis. His research focuses on multi-scale molecular modeling, data science for materials discovery, catalysis, and separations. He combines quantum chemistry methods (e.g., wave function theory, density functional theory) with classical simulations and machine learning to design novel materials for applications in catalysis, energy storage, and environmental remediation. Specific areas of interest include methane activation, CO 2 capture, and heterogeneous electrocatalysis. His work bridges theory and experiment, collaborating with experimental groups to validate computational findings. Notable projects include: Developing catalysts with atomically dispersed metals for enhanced reactivity Designing zeolite materials for selective chemical transformations Creating machine learning workflows to accelerate material discovery Recent research highlights the role of water in CO 2 adsorption mechanisms, the dynamic behavior of confined nanoparticles, and redox-cycling phenomena in zeolite-embedded catalysts. His computational tools like the Multiscale Atomic Zeolite Simulation Environment (MAZE) enable detailed analysis of complex material behaviors. No scientific awards are explicitly listed in the provided information. His advising activities and grants are not detailed in the current data, but his extensive publication record indicates active research collaboration and funding support.

Mylene Lagardeمشاهده پروفایل

دانشیار

• Health Economics
• Global Health
• Healthcare Policy
• +۳ مورد دیگر

Dr. Mylene Lagarde is an Associate Professor of Health Economics and Deputy Head of Department (Research) at the London School of Economics and Political Science (LSE), Department of Health Policy. Her research focuses on applied economic analysis of healthcare decisions in low- and middle-income countries (LMICs), particularly provider behavior, healthcare demand, and health policy evaluation. She has conducted studies on topics such as health worker incentives, user fee removal policies, and the impact of performance-based financing. She holds affiliations with J-PAL and the University of Witwatersrand, South Africa. Her work combines quantitative methods, randomized experiments, and policy analysis to inform global health interventions. Educated in France and with field experience in Cameroon, Lagarde’s academic career includes roles at the London School of Hygiene and Tropical Medicine before joining LSE in 2016. She teaches advanced health economics courses, including MPhil/PhD programs in Health Economics and Policy, and modules on randomized evaluations of health programs. Her research has explored provider behavior in Senegal, Zambia, South Africa, and other LMICs, addressing challenges like antibiotic overprescription, healthcare quality under workload pressures, and equitable access to services. Key areas of focus include the role of pro-social preferences in healthcare workforce distribution, the effectiveness of group incentives for preventive care, and the framing effects of health policies. She has contributed to understanding how financial and non-financial incentives shape healthcare provider performance and patient choices, with implications for improving health system efficiency and equity globally.

Navid Izadyمشاهده پروفایل

مدرس ارشد

• Operations Research
• Healthcare Management
• Stochastic Modelling
• +۳ مورد دیگر

Dr. Navid Izady is a Reader in Operations & Supply Chain at Bayes Business School, part of City St George's, University of London. His academic career includes a PhD from Lancaster University Management School (2010), and prior roles at the University of Southampton. He specializes in stochastic modelling for healthcare and manufacturing operations, collaborating with hospitals and healthcare organizations on sponsored research and consultancy projects. Dr. Izady holds qualifications in Industrial Engineering from Sharif University of Technology (BSc and MSc) and a PhD in Management Science. He teaches operations management, stochastic modelling, healthcare modelling, and decision analysis across BSc, MSc, and MBA programs. His research focuses on optimizing healthcare logistics, patient flow management, and resource allocation in hospitals. He has developed frameworks for managing pandemic and non-pandemic demand, reconfiguring inpatient services, and optimizing staffing and patient admission/discharge processes. His work bridges theoretical stochastic models with practical healthcare challenges, emphasizing operational efficiency and resilience. Notable contributions include studies on inpatient bed pressure reduction, sample pooling techniques for pandemic testing, and queueing theory applications in emergency departments and specialty clinics. His publications highlight innovations in healthcare operations management and simulation methods. Dr. Izady's expertise includes operations research, simulation, statistics, and stochastic processes. He supports industry partnerships and has supervised numerous research students, contributing to both academic and applied knowledge in healthcare and manufacturing systems.

Zhaohai Liمشاهده پروفایل

استاد

• Genetic Epidemiology
• Statistical Methods for Meta-analysis
• Clinical Biostatistics
• +۳ مورد دیگر

Dr. Zhaohai Li Professor of Statistics at George Washington University, specializing in statistical methodologies for genetic epidemiology and clinical biostatistics. His research focuses on meta-analysis techniques, empirical Bayes methods, and population-based study designs. He has contributed extensively to improving statistical approaches in clinical trials and addressing challenges in genetic association studies. Education: Ph.D. in Statistics, Columbia University, 1989 Research Interests: His work addresses critical issues in modern biostatistics including: Population stratification in genetic studies Hardy-Weinberg equilibrium testing Optimal experimental design for case-control studies Handling missing data in genetic linkage analysis Development of robust statistical tests for complex survey data Publications Overview: Dr. Li's recent work emphasizes methodological advancements in: Bayesian approaches to population genetics Meta-analytic frameworks for combining study results Statistical solutions for multi-stage clinical trials Algorithmic improvements for genome-wide association analyses Professional Contributions: His articles consistently address practical challenges in biomedical research, bridging theoretical statistics with real-world genetic and clinical applications.

David Lewisمشاهده پروفایل

استاد

• South Asia
• Bangladesh
• Civil Society
• +۴ مورد دیگر

David Lewis is a Professor of Social Policy and Development at the London School of Economics (LSE), specializing in South Asia and Bangladesh. His work bridges anthropology and development studies, focusing on NGOs, civil society, and the historical dimensions of development policy. He has advised international agencies like Sida, DFID, and UNDP, and his research explores 'policy amnesia' and the interplay between development narratives and grassroots realities. Research Interests Anthropology of Policy NGO Effectiveness and Critique South Asian Development Dynamics Historical Analysis of Development Interventions Entrepreneurship Advice in Bangladesh/Sri Lanka Professional Engagements Consultant for major development organizations Author/editor of influential texts including Bangladesh: Politics, Economy and Civil Society (2011) and New Mediums, Better Messages? (2022) Editor of Popular Representations of Development (2013), analyzing media's role in shaping development perceptions His work critiques top-down development paradigms while emphasizing historical context and local agency.

Dana Burdeمشاهده پروفایل

دانشیار

• Conflict and Education
• Humanitarian Studies
• Political Violence
• +۳ مورد دیگر

Role & Affiliations: Dana Burde is an Associate Professor and Director of International Education at New York University's Steinhardt School of Culture, Education, and Human Development. She holds affiliated faculty positions at NYU’s Wilf Family Department of Politics, Robert F. Wagner School of Public Service, and Columbia University’s Saltzman Institute of War and Peace Studies. Her work bridges education policy, conflict studies, and humanitarian aid effectiveness. Education: PhD in Comparative Education and Political Science (Columbia University), Master’s in Educational Administration/International Education (Harvard University), BA in English Literature (Oberlin College). Research Focus: Examines the intersection of education and political violence, particularly in conflict zones like Afghanistan and Pakistan. Her studies emphasize community-based schooling, NGO impact, and policy-driven solutions to reduce conflict through equitable education access. Recent projects include analyzing learning outcomes in transitioning Afghan schools and youth aspirations in Kenya and Pakistan. Key Achievements: Awarded the 2017 Grawemeyer Award for her seminal book Schools for Conflict or for Peace in Afghanistan , which critiques foreign education aid in conflict zones. Her research has been funded by $8.4 million in grants from institutions like the Spencer Foundation and USAID. Grants & Funding: Major funders include the Spencer Foundation, National Science Foundation, U.S. Institute of Peace, and Danish International Aid Agency. Her work prioritizes scalable, evidence-based interventions in fragile states.

Qiongxiu Liمشاهده پروفایل

استادیار

• Cybersecurity
• Distributed Optimization
• Privacy-Preserving Technologies
• +۵ مورد دیگر

Qiongxiu Li is a Tenure-Track Assistant Professor in the Cyber Security group at Aalborg University's Copenhagen campus, part of the Technical Faculty of IT and Design. Her research focuses on cybersecurity, distributed optimization, privacy/security, and federated learning. She has authored/co-authored 38 papers in top-tier venues including IEEE Transactions on Information Forensics and Security, ICLR, and EUSIPCO. Education: PhD in Privacy and Security from Aalborg University (2018-2021). Notable achievements include winning the EUSIPCO 2020 3MT Contest and co-delivering a tutorial on privacy-preserving distributed optimization at EUSIPCO 2024. She actively reviews for conferences like NeurIPS, ICLR, and journals such as TPAMI and TIFS. Research Themes: Privacy-preserving distributed algorithms, federated learning security, differential privacy, and adversarial machine learning. Recent Trends: Focus on securing AI systems (e.g., LLM vulnerabilities, federated clustering privacy), quantization for privacy, and theoretical bounds in decentralized learning. Awards: 2020 EUSIPCO 3MT Winner (outstanding finalist in EURASIP's annual doctoral research competition). Grants/Projects: Co-PI of the AI:SECURITY project (2025-2029) addressing AI security threats like phishing and malicious actors. Labs/Teams: Leads the Cyber Security group at Aalborg's Copenhagen campus, focusing on theoretical and applied research in secure distributed systems.

• Forensic Psychology
• Personality Disorders
• Narcissism
• +۹ مورد دیگر

Dr. Ava Green is a Lecturer in Forensic Psychology at City, University of London, within the School of Health and Psychological Sciences, Department of Psychology. She completed her PhD in Forensic Psychology at Edinburgh Napier University in 2020 and has held academic positions at Queen Margaret University and Edinburgh Napier University. She is a Chartered Psychologist and a Fellow of the Higher Education Academy. Her educational background includes: PhD in Forensic Psychology, Edinburgh Napier University (2017–2020) MSc in Applied Criminology and Forensic Psychology, Edinburgh Napier University (2015–2016) BSc (Hons) in Psychology, Edinburgh Napier University (2011–2015) Dr. Green’s research focuses on gender differences in personality disorders, particularly narcissism in women, its aetiology, diagnostic assessment, and links to intimate partner violence. She explores how narcissism manifests differently across genders and challenges diagnostic biases in clinical settings. Her work also extends to criminal false confessions and the behavioural manifestations of narcissism in forensic contexts. Her recent publications reveal a consistent focus on narcissism through both empirical research and public engagement. Articles span clinical studies using ICD-11 frameworks, gendered analysis of personality disorders, and accessible commentary in outlets like The Conversation. Her work integrates clinical, forensic, and social psychological perspectives, emphasizing the importance of accurate diagnosis and gender-informed assessment. Her scientific recognition includes: Fellow of the Higher Education Academy Chartered Psychologist, The British Psychological Society Dr. Green is actively involved in teaching and academic leadership, serving as Programme Lead for the BSc Psychology with Criminology and Module Leader for Forensic Psychology. She supervises PhD students and welcomes research collaborations. Her professional experience includes grant acquisition and interdisciplinary research, often in collaboration with international scholars in psychology and psychiatry. She is affiliated with research teams focusing on personality disorders and contributes to academic discourse through book chapters and peer-reviewed journal articles. Her work is supported by a strong foundation in both clinical theory and empirical methodology.

Daniel A. Sassمشاهده پروفایل

دانشیار

• Psychometrics
• Structural Equation Modeling
• Factor Analysis
• +۳ مورد دیگر

Dr. Daniel A. Sass is an Associate Dean for Graduate Studies and Associate Professor in the Department of Management Science and Statistics at the University of Texas at San Antonio’s Carlos Alvarez College of Business. He directs the Statistical Consulting Center and focuses on methodological research, including psychometrics, structural equation modeling, and factor analysis. His applied work spans education, public health, and organizational behavior. Education: Ph.D. in Management Science and Statistics, University of Wisconsin-Milwaukee B.A., University of Wisconsin-Milwaukee Research Interests : Dr. Sass specializes in advanced statistical methodologies with applications in education and social sciences. His work emphasizes psychometric validation, measurement invariance, and applied collaborative projects. Key areas include teacher retention, classroom management, and cross-cultural scale adaptation. His research bridges theoretical statistical frameworks with real-world challenges in education and public policy. Publications Trends : Recent work explores pandemic impacts on productivity, educator stress in charter schools, and diabetes management programs. Earlier studies focus on statistical methods like factor analysis and structural equation modeling validation. His articles consistently address practical implications for policy and practice. Advising/Grants : While no advisees are listed, his collaborative projects involve interdisciplinary teams across education, public health, and organizational studies. His Statistical Consulting Center supports UTSA researchers in applying rigorous statistical methods to their work. Labs/Teams : Director of the Statistical Consulting Center, providing methodological support for academic and applied research projects.

Dulce Wilkinson Westbergمشاهده پروفایل

استادیار

• Personality Psychology
• Identity
• Life Narratives
• +۷ مورد دیگر

Dulce Wilkinson Westberg is an Assistant Professor in the Department of Psychology at the University of California, Davis. Her research lies at the intersection of personality, identity, and social structures, with a focus on racially and ethnically diverse populations. She employs both qualitative and quantitative methodologies to explore how systems of power and oppression influence life narratives and psychosocial adjustment. PhD in Social and Personality Psychology, University of California, Riverside (2022) BS in Psychology, University of California, Riverside (2017) Dr. Westberg's research centers on life narratives as internal constructions of identity, examining how race, ethnicity, gender, and social class shape personal meaning-making. She investigates how marginalized individuals navigate structural barriers and how such experiences influence personality development. Her work emphasizes intersectionality and the cultural contexts of identity formation. Her recent publications (2020–2024) reflect a strong focus on narrative identity, ethnic-racial life scripts, identity shifting, and the integration of intersectionality into personality psychology. These works span journals in personality, developmental, and social psychology, highlighting interdisciplinary engagement and methodological diversity. Association for Research in Personality (ARP) – Programming Committee Member (2023) Association for Research in Personality (ARP) – Diversity and Inclusion Committee Member (2020–present) Society for Personality and Social Psychology (SPSP) – Member International Society for Research on Identity (ISRI) – Member Society for Research on Child Development (SRCD) – Member Society for the Study of Emerging Adulthood (SSEA) – Member Dr. Westberg is actively mentoring and building her research program. She is recruiting undergraduate students for qualitative data analysis and accepting applications from prospective graduate students for the 2024–2025 cycle. While no specific grants are mentioned, her active publication record and lab recruitment suggest ongoing research funding and academic momentum. She leads a research lab focused on narrative and identity processes in diverse young adults.