جست‌وجوی استاد و پژوهشگر

• Migration Policy
• Refugee Policy
• Local Governance
• +۳ مورد دیگر

Hannes Schammann is Professor of Political Science with a focus on migration policy at the University of Hildesheim , where he leads the Migration Policy Research Group since 2018. His work bridges academic research and practical implementation through the Research and Transfer Center for Migration Policy , addressing migration, integration, and refugee policy challenges. In January 2025, he joined the German Council of Experts on Integration and Migration (SVR) as a scientific advisor. Research Focus: Schammann specializes in local authorities' scope for action in refugee-related migration, national migration policy analysis, and educational integration aspects. He co-authored the textbook Migration Policy (2021) and contributes to international journals like Journal of Refugee Studies and Journal of Ethnic and Migration Studies . Key Projects: He leads third-party funded initiatives including Match'In (algorithmic asylum seeker distribution), SOLDISK (solidarity discourses in migration), Country.Home.Future (rural integration), When Mayors Make Migration Policy (municipal EU influence). Expert Engagements: Schammann serves on editorial boards including Zeitschrift für Flucht- und Flüchtlingsforschung , and participates in advisory roles for institutions like the German Federal Ministry for Family Affairs and Robert Bosch Foundation . He also engages in public discourse through media appearances in Deutschlandfunk , ARD , and SWR regarding migration challenges.

Luke Miratrixمشاهده پروفایل

استادیار

• Causal Inference
• Treatment Effect Heterogeneity
• Cluster Randomized Trials
• +۴ مورد دیگر

Luke Miratrix serves as Assistant Professor at Harvard Graduate School of Education and affiliate faculty in Harvard Department of Statistics. His methodological expertise centers on causal inference applications in educational research, particularly treatment effect heterogeneity and cluster-randomized trial evaluation. His academic background includes a Doctorate in Statistics from University of California, Berkeley (2012), Master of Science in Computer Science from M.I.T., Bachelor of Science in Computer Science from California Institute of Technology, and Bachelor of Arts in Mathematics from Reed College. Prior to academia, he spent seven years as a high school teacher and tutor. Miratrix's research prioritizes minimal-assumption statistical approaches to validate data-driven arguments. Key interests include developing methods for characterizing variation in treatment impacts, analyzing post-treatment subgroups, and applying high-dimensional techniques to text summarization in legal, journalistic, and educational contexts. His work consistently bridges theoretical statistics with practical implementation challenges in real-world settings. Analysis of his recent publications (2023-2025) reveals three dominant trends: advancement of matching methodologies (e.g., synthetic controls, caliper matching), refinement of heterogeneous treatment effect estimation across multisite trials, and integration of machine learning with human coding for efficient text-based inference in educational assessments. These efforts demonstrate increasing focus on scalable, accessible tools for applied researchers. He contributes to methodological infrastructure through the CARES Lab and software packages like 'matchMulti' and 'textreg', providing practical implementation guides for complex statistical techniques. His work emphasizes translating advanced causal inference methods into usable frameworks for education researchers and policymakers.

Ankush Agarwalمشاهده پروفایل

دانشیار

• Mathematical finance
• Data science in finance
• Financial statistics
• +۳ مورد دیگر

Ankush Agarwal is an Associate Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. His research focuses on mathematical finance, financial statistics, and Monte Carlo methods, with applications to risk management and derivatives pricing. He supervises PhD students in quantitative finance and has taught courses on Monte Carlo methods and advanced financial modeling at Western University. Education: PhD in Mathematics from Tata Institute of Fundamental Research (2015) Research interests span regime-switching models, longevity risk hedging, stochastic differential equations, and rare event simulation. His work combines theoretical probability with computational techniques for financial applications. Recent publications include studies on McKean-Vlasov SDEs, implied Sharpe ratio estimation, and optimal portfolio strategies under stochastic volatility. These works demonstrate his expertise in stochastic processes and financial engineering. Supervision: Current PhD advisees include Ying Liao, Buchun Wang, and Shuya Zhang at the University of Glasgow. Former advisees include Yongjie Wang and Yihan Zou.

Ronny Schererمشاهده پروفایل

استاد

• Meta-analysis
• Educational Measurement
• Digital Divides
• +۶ مورد دیگر

Ronny Scherer is Center Director and Professor at CEMO (Center for Educational Measurement) and Deputy Director at CREATE (Center for Research on Equality in Education) at the University of Oslo's Faculty of Educational Sciences. His work bridges educational measurement, assessment, and evaluation with a focus on research syntheses and complex sampling surveys. Dr. Scherer's research spans two interconnected domains: substantive areas including digital divides, equity and equality in education, and measurement of complex cognitive skills (such as complex problem solving, adaptability, computational thinking, and executive functioning); and methodological areas focusing on advanced meta-analytic techniques, multilevel structural equation modeling, and spatial analysis of complex survey data. His work frequently utilizes international large-scale assessment data from PISA, ICILS, TIMSS, PIRLS, PIAAC, and TALIS. His publication record demonstrates a clear trajectory toward increasingly sophisticated meta-analytic approaches, with recent work focusing on second-order meta-analyses, AI-assisted screening methods, and advanced techniques for handling complex survey data. His research consistently addresses critical educational challenges related to equity, digital literacy, and measurement of 21st century skills. Dr. Scherer has secured significant research funding for projects including ARISE (Academic resilience in mathematics and science among vulnerable students), DiDiRes (Digital inequalities in education), and ADAPT21 (Educational assessments of the 21st century: Measuring and understanding students' adaptability in complex problem solving situations). Co-director of CREATE (Centre for Research on Equality in Education) since 2023 Professor of Educational Assessment and Measurement at CEMO since 2019 Extensive experience with international large-scale assessments including ICILS, TALIS, and PIAAC As an educator, Dr. Scherer teaches advanced courses in measurement models, multilevel models, meta-analysis, and equity in education. He actively supervises graduate students interested in his research areas and has developed numerous workshops on structural equation modeling and meta-analytic methods for international audiences.

• Machine Learning
• Computer Vision
• Signal Processing
• +۶ مورد دیگر

Dongwook Kim is affiliated with the Korea Advanced Institute of Science & Technology (KAIST) as a faculty member in the Department of Business and Technology Management under the College of Business. His research spans multiple domains including machine learning, robotics, signal processing, and biomedical engineering. Key contributions in Computer Vision (CNN-based semantic segmentation, 3D point cloud analysis) Significant work in Hardware Design (energy-efficient processors, neuromorphic computing) Interdisciplinary expertise in Medical Imaging (bone age assessment, retinal biomarkers) and Cybersecurity (attack detection, network analytics) Publications since 2015 demonstrate sustained innovation in AI applications , Signal Processing , and Smart City Governance . His work often integrates theoretical advances with practical implementations in real-world systems. No scientific awards or student mentorship details are explicitly documented in the provided records.

S.V. Subramanianمشاهده پروفایل

استاد

• Public Health Nutrition
• Health Geography
• Social Inequalities in Health
• +۴ مورد دیگر

Dr. S.V. Subramanian (Subu) is Professor of Population Health and Geography at Harvard University with primary appointments in the Department of Social and Behavioral Sciences at Harvard T.H. Chan School of Public Health and the Harvard Center for Population and Development Studies. He serves as Faculty Chair of Harvard's Center for Geographic Analysis and holds affiliations with the Department of Sociology, Weatherhead Center for International Affairs, and Lakshmi Mittal South Asia Institute. As founding director of Harvard's PhD program in Population Health Sciences, he established key academic infrastructure. Education: PhD in Geography (2000), University of Portsmouth, UK MPhil (1993) and MA (1991) in Geography, Delhi School of Economics BA Honors in Geography (1989), University of Delhi Research Focus: Dr. Subramanian leads the Geographic Insights Lab, pioneering data science approaches for precision public policy. His work examines: 1) Food/nutrition security in low-income countries, 2) Geographic heterogeneity in health outcomes, 3) Multilevel modeling of social inequalities, and 4) Political geography-health policy intersections. His 900+ publications employ spatial epidemiology and statistical innovation to address health disparities. Publication Trends: Recent articles demonstrate consistent focus on geospatial analysis of health disparities, particularly in Indian states and constituencies. Work emphasizes granular mortality metrics, nutritional epidemiology, and SDG monitoring using advanced statistical frameworks. Awards & Leadership: Co-Editor-in-Chief of SSM-Population Health (PROSE Award-winning journal) Editorial consultant for The Lancet Highly Cited Researcher since 2015 (top 1% citations globally) Mentoring: Has advised 185+ students across undergraduate, doctoral, and postdoctoral levels. Developed Harvard's first course on multilevel statistical methods (taught globally since 2001). Lab Leadership: Directs the Geographic Insights Lab, which advances precision public policy through geospatial data science and cross-disciplinary health equity research.

Katarina Domijanمشاهده پروفایل

دانشیار

• Bayesian applications to data analysis
• Machine learning
• Statistical computing
• +۳ مورد دیگر

Katarina Domijan is an Associate Professor in Statistics at the Department of Mathematics and Statistics, Maynooth University, Ireland. She holds a PhD in Statistics from Trinity College Dublin (2008) and has been affiliated with Maynooth University since 2008, transitioning from Lecturer/Assistant Professor to her current role in 2024. Her academic career includes editorial roles as Associate Editor for The R Journal (2021–present) and the Journal of Computational and Graphical Statistics (2015–2024). Research Interests focus on Bayesian methods for high-dimensional data, particularly in classification problems. She specializes in feature selection and model visualization, with applications spanning agricultural data analysis (e.g., hyperspectral imaging for lactose prediction), medical diagnostics (e.g., sepsis and cancer detection), and space physics (e.g., Saturn Kilometric Radiation classification). Her work bridges theoretical statistics with real-world challenges, including socio-economic studies and forensic science. Key Research Areas Bayesian statistical inference Machine learning for large feature spaces Statistical computing and model interpretability Data visualization and chemometrics Scientific Contributions include leading projects like VistaMilk Phase II (2024–2030, €152,300) and Measuring Carbon Sequestration (2024–2028, €174,788.90). Her 15 most recent publications highlight advancements in ensemble modeling, spatial statistics, and medical diagnostics. Scientific Awards Associate Editor, The R Journal (2021–present) Associate Editor, Journal of Computational and Graphical Statistics (2015–2024) Student Supervision includes PhD and MSc graduates such as Dr. Bruna Wundervald (2024) and Dr. Mark O’Connell (2017). She also collaborates with researchers across disciplines, including Dr. Nadim Akasheh in food hypersensitivity studies.

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

Massimo Bongiorno is an Assistant Professor in Electrical Engineering at Chalmers University of Technology. He holds a Master’s degree in Electronics Engineering from the University of Palermo (2002) and earned his Licentiate and PhD from Chalmers University. His research focuses on power electronics applications in power systems, particularly grid-forming converter systems, power quality, and renewable energy integration. MSc in Electronics Engineering (University of Palermo, 2002) Licentiate and PhD (Chalmers University of Technology) Research interests include: Power electronics in power systems Grid-forming converter stability Renewable energy integration Modular multilevel converter design Small-signal and large-signal stability analysis Energy storage system applications Recent publications highlight trends in: Converter control strategies for grid stability Dynamic modeling of power electronics systems Applications in offshore wind and hydro microgrids Impedance analysis and resonance mitigation Advanced fault ride-through techniques Multi-terminal HVDC grid control

Sylwia J. Piatkowskaمشاهده پروفایل

دانشیار

• Crime and Deviance
• Comparative Criminology
• International Criminology
• +۳ مورد دیگر

Sylwia J. Piatkowska is an Associate Professor at the College of Criminology and Criminal Justice , Florida State University. Her research focuses on crime and deviance, comparative and international criminology, and advanced quantitative methods. She holds a Ph.D. in Sociology from SUNY Albany (2016) and a B.A./M.A. from Opole University (2006). Her work has been recognized with top honors from the Academy of Criminal Justice Sciences for her impactful research on criminology. Key research interests include hate crimes, fiscal criminology, immigration policy impacts, and sentencing disparities. She has authored/co-authored influential studies such as “The New Fiscal Criminology” (2022) and “Suspended Licenses, Suspended Lives” (2020). Her recent work examines temporal trends in bias-motivated violence and the intersection of mental health, race, and gender in sentencing. Recent Awards: Top Honors from the Academy of Criminal Justice Sciences for her book. Professional Roles: Member of the National Policing Institute’s Board of Directors and editor of leading criminology journals. Her research bridges macro-level structural factors with micro-level criminal behavior, emphasizing cross-national comparisons and policy implications. She is affiliated with Florida State University’s criminology research programs and actively contributes to academic discourse through peer-reviewed publications and institutional leadership.

• Power Electronics
• Electrical Engineering
• Energy Conversion
• +۷ مورد دیگر

Kamal Al Haddad is a Lecturer in the Department of Electrical Engineering at École de technologie supérieure (ÉTS). He holds a Doctorate from INTP, Toulouse, and advanced degrees from UQTR. His research focuses on power electronics, renewable energy integration, and smart grid technologies. He leads the GREPCI research group, specializing in Power Electronics and Industrial Control. Education: B.Eng., M.Sc.A. (UQTR), Doctorate (INTP, Toulouse). Research interests span energy conversion, industrial electronics, power quality, and electromagnetic interference. He emphasizes sustainable energy solutions, electric traction systems, and high-efficiency power sources. His work includes developing advanced power electronic converters and grid stability solutions. Recent articles highlight advancements in modular converters for STATCOM, AI-driven fault detection in hydrogenerators, and renewable energy policy frameworks. He has received notable awards, including the 2014 IEEE Eugene Mittelmann Prize and Fellowships from IEEE and other institutions. Supervised over 60 students, including doctoral theses on topics like hydrogenerator diagnostics, EV charging systems, and renewable energy integration. His research also involves real-time simulation of power systems and FPGA-based implementations. Labs/Teams: GREPCI – Power Electronics and Industrial Control Research Group, leading projects on smart grids and energy efficiency.

Nilo Merino Recaldeمشاهده پروفایل

پژوهشگر

• Animal Behavior
• Ecology
• Machine Learning
• +۳ مورد دیگر

Dr. Nilo Merino Recalde is a Postdoctoral Researcher at the Edward Grey Institute, University of Oxford. His research focuses on animal culture, acoustic monitoring of biodiversity, and applied machine learning. He employs interdisciplinary approaches spanning visual arts, anthropology, and biology to study animal behavior and ecology. His current work emphasizes large-scale acoustic data collection and analysis, with a particular interest in bird song and cultural evolution. Research interests include: Animal culture and its transmission mechanisms Acoustic ecology and biodiversity assessment using sound Machine learning applications in ecological research Data visualization and open science practices His publications highlight advancements in phylogenomic analysis, acoustic datasets for wild bird populations, and software tools like pykanto for bioacoustic research. He actively develops open-source tools to democratize data analysis in ecology. No scientific awards or grants are listed. He currently advises no students but collaborates widely in multidisciplinary teams. His primary affiliation is the Edward Grey Institute's Sheldon Group, where he integrates fieldwork and computational methods to understand animal behavior at ecological and evolutionary scales.

Amy Scott Metcalfeمشاهده پروفایل

استاد

• Higher Education
• International Comparative Higher Education
• Policy Analysis
• +۳ مورد دیگر

Amy Scott Metcalfe is a Professor in the Department of Educational Studies at the University of British Columbia (UBC), affiliated with the Faculty of Education. She holds dual appointments with the Institute for Gender, Race, Sexuality and Social Justice, emphasizing interdisciplinary approaches to higher education studies. Her research focuses on international comparative higher education systems, academic governance, and sociological analysis of university policies. She critiques managerialism trends and explores gender disparities in academic productivity. Metcalfe employs visual methodologies, including photo-ethnography and extended photo essays to document institutional change. Teaching responsibilities are managed through the Department of Educational Studies, with course details available via UBC’s official portal. Her scholarship spans Canadian and global contexts, addressing issues like faculty internationalization, research ethics frameworks, and the impact of pandemic disruptions on academic collaboration. Key contributions include longitudinal studies on Canadian professors’ perceptions of work-life balance, comparative analyses of gender gaps in research output across North America, and critical examinations of university-industry-government networks. She advocates for equity-centered pedagogies and anti-colonial approaches in higher education policy.

Michael Burkeمشاهده پروفایل

استاد

• Organizational Behavior
• Occupational Safety
• Workplace Safety
• +۴ مورد دیگر

Michael Burke is a Professor and Earl P. and Ethel B. Koerner Chair in Strategy and Entrepreneurship at Tulane University’s A. B. Freeman School of Business. He holds affiliations with the Stone Center for Latin American Studies and serves as Chair of Tulane’s Social-Behavioral Institutional Review Board. His academic journey includes roles at New York University (1985–1991) and visiting professorships at the University of Sheffield (2004). Education: Ph.D. in Psychology (Illinois Institute of Technology, 1982), M.S. in Industrial Psychology (Purdue University, 1980), and B.A. in Psychology (University of Notre Dame, 1977). Burke’s research focuses on Organizational Behavior and Occupational Safety , with emphasis on teamwork effectiveness, safety training, and interrater agreement methodologies. His work spans cross-cultural studies (e.g., Peru, Colombia, Mexico) and integrates psychological principles with practical workplace applications. Key contributions include over 60 publications, including seminal articles on safety training efficacy, meta-analytic methods, and climate assessment. His awards include the 2023 Tulane Convergence Award for interdisciplinary collaboration and multiple Dean’s Excellence Awards (2014–2017). He has supervised 2 dissertations/theses in recent years and actively contributes to academic governance, serving as Editor of Personnel Psychology (2007–2010) and on editorial boards for major journals. Burke’s international experience includes collaborations in Latin America, Australia, and Europe, leveraging his fluency in French.

Neil Walkerمشاهده پروفایل

استاد

• Constitutional Theory
• European Union Law
• Global Legal Theory
• +۲ مورد دیگر

Professor Neil Walker holds the Regius Chair of Public Law and the Law of Nature and Nations at the University of Edinburgh's School of Law . He is a Fellow of the British Academy (FBA) and Royal Society of Edinburgh (FRSE) with a distinguished career spanning institutions like the European University Institute in Florence and the University of Aberdeen. LLB, PhD (Edinburgh) LLD (Honoris Causa), Uppsala University His research focuses on constitutional theory across sub-state, state, EU-supranational, and global levels, examining sovereignty, legal pluralism, and the intersection of security, law, and political community. He also explores broader legal theory and UK/EU public law dimensions. Recent work includes Intimations of Global Law (2015) and the Leverhulme Trust-funded project Law, Community and Utopia (2019-2022). His 178+ publications span constitutionalism, EU law, sovereignty debates, and transnational legal theory. Scientific Awards : Francqui Medal (2017), Leverhulme Trust Major Research Fellowship As director of the Law and Polity Project , he collaborates with Dr. Cormac MacAmhlaigh and Professor Claudio Michelon. He has advised governments on constitutional matters, including Scotland's final appellate jurisdiction review (2008-2010).

Kais Atallahمشاهده پروفایل

استاد

• Electromechanical Energy Conversion
• Magnetic Torque/Force Transmission Systems
• Renewable Energy Systems
• +۴ مورد دیگر

Professor Kais Atallah is a Professor in Electrical Engineering at the University of Sheffield's School of Electrical and Electronic Engineering, with a secondary role as a Lecturer in Aerospace Engineering. He joined the University in 1989 as a PhD student and became academic staff in 2000. His research focuses on electromechanical energy conversion, magnetic torque systems, and applications in renewable energy, electric vehicles, and aerospace actuation. He is a member of the Centre for Research Into Electrical Energy Storage and Applications (CREESA) and leads the Electrical Machines and Drives Research Group. His research interests include novel drivetrain designs for wind turbines, flywheel systems, and fault-tolerant machine systems for safety-critical aerospace applications. He has advised multiple PhD students and contributed to over 150 publications, with recent work emphasizing magnetic gear design, high-performance ferrite machines, and modular multilevel converters. His articles explore themes like high-efficiency power transmission, magnetic gear optimization for wind turbines, and traction machine control systems. Collaborations include work on subsea ROV propulsion and flywheel energy storage. He oversees research labs focused on advanced electrical machine design and energy storage solutions.