جست‌وجوی استاد و پژوهشگر

Tim Futing Liaoمشاهده پروفایل

استاد

• Inequality & Mobility
• Life Course Analysis
• Quantitative Methodology
• +۴ مورد دیگر

Tim Futing Liao is a Professor of Sociology & Statistics at the University of Illinois at Urbana-Champaign, holding the LAS Alumni Distinguished Professorial Scholar title. He serves as President of the Sequence Analysis Association and incoming Editor of Socius . His research focuses on inequality, life course analysis, quantitative methodology, population studies, and collective memory. Liao earned his PhD from the University of North Carolina at Chapel Hill. Research Interests: Dr. Liao's work spans migration patterns (especially Filipino/Indonesian domestic workers), health disparities, sequence analysis methodologies, and social stratification. He combines advanced statistical techniques with sociological theory to explore topics like wage inequality, mental health among migrants, and the role of collective memory in social movements. Awards & Roles: Recipient of the ASA Methodology's Paul F. Lazarsfeld Award (2021), he has held editorial roles at top journals including Sociological Methodology , Demography , and Advances in Life Course Research . He also developed influential software tools for sequence analysis and inequality measurement. Grants & Collaborations: Active in interdisciplinary projects, his work involves collaborations on migrant labor conditions, health policy analysis, and methodological advancements. Notable outputs include R/Stata packages for sequence analysis and inequality decomposition. Labs/Teams: Leads research initiatives on life course trajectories and quantitative sociology methodologies at the University of Illinois, contributing to both theoretical advancements and practical applications in social science research.

• Intelligence Studies
• History of International Relations
• Terrorism and Counterterrorism
• +۴ مورد دیگر

Prof. Bob de Graaff is a Professor of Intelligence and Security Studies at Utrecht University's Department of History and Art History, part of the Faculty of Humanities. He holds a PhD from Leiden University and has held multiple academic positions, including at Leiden University’s Campus The Hague (2007–2009) and the Netherlands Defense Academy (2010–2017). His research focuses on intelligence history, terrorism, and international relations, with notable projects including a history of the Netherlands Defense Intelligence and Security Service (ongoing until 2022). Education: MA in Contemporary History, Vrije Universiteit Amsterdam (1979) PhD in History, Leiden University (1997), thesis: Kalm temidden van woedende golven. Het Ministerie van Koloniën en zijn taakomgeving, 1912–1940 Research Interests: Intelligence studies, Cold War history, terrorism and counterterrorism, Srebrenica inquiry, Dutch decolonization, and military history. He has authored/co-authored over 50 publications, including Villa Maarheeze: de geschiedenis van de Inlichtingendienst Buitenland (1998) and Intelligence and Cold War behind the Dikes (1997). Projects: Leading the History of the Military Intelligence and Security Service project (2019–2022) Member of the editorial board for the Journal of Mediterranean and Balkan Intelligence Grants & Collaborations: Funded by the Netherlands Ministry of Defence for the Military Intelligence project Co-founder and board member of the Netherlands Intelligence Studies Association (NISA) Labs/Teams: Active in academic intelligence networks, particularly through NISA and editorial contributions to intelligence journals.

Lucie Tvrznikovaمشاهده پروفایل

پژوهشگر

• Atomic Physics
• Particle Physics
• Dark Matter Detection
• +۳ مورد دیگر

Lucie Tvrznikova is a Postdoctoral Researcher at Lawrence Livermore National Laboratory, specializing in experimental particle physics and detector engineering. Her work focuses on direct dark matter detection, nuclear physics, and cyclotron radiation emission spectroscopy (CRES). She holds a Ph.D. from Yale University (2019), where her dissertation explored sub-GeV dark matter searches and electric field modeling in the LUX and LZ experiments. Her research has advanced understanding of low-mass dark matter particles, detector calibration techniques, and high-voltage behavior in liquid noble gases through projects like XeBrA and the Project 8 collaboration. Key contributions include developing methods to extend LUX's sensitivity using Bremsstrahlung and Migdal effects, creating 3D electric field models for xenon detectors, and advancing CRES technology for neutrino mass measurements. She collaborates on major experiments like LZ and the LUX-ZEPLIN initiative, addressing challenges in next-generation noble liquid detectors. Current work focuses on dielectric breakdown studies in liquid xenon, machine learning applications for data analysis, and neutrino mass measurements using Project 8's Kr and tritium systems.

• Psychometrics
• Network Theory
• Psychopathology
• +۲ مورد دیگر

Denny Borsboom is Professor in the Psychological Methods Group at the University of Amsterdam, where he directs the Social and Behavioural Data Science Centre. His research program develops network theories of psychopathology, novel psychometric methods, and formalized psychological theory through initiatives like the Psychosystems Project and Theory Methods Lab. Research focuses on conceptual foundations of measurement, complex systems approaches to mental disorders, and computational modeling of psychological phenomena. Recent publications advance network psychometrics, validity theory, and integration of intra/interindividual dynamics. Articles demonstrate strong methodological innovation through computational psychiatry applications, network theory development, and philosophical engagement with psychological foundations. Recurring themes include psychopathological networks, measurement realism, system transitions, and collaborative theory-building frameworks.

Megan Steeleمشاهده پروفایل

پژوهشگر ارشد

• Public Health
• Mental Health
• Forensic Psychiatry
• +۴ مورد دیگر

Megan Steele is an Honorary Senior Research Fellow at the University of Queensland's School of Public Health. Her research focuses on public health interventions, mental health in forensic settings, cancer survivorship, and Indigenous health equity. She contributes to initiatives like the Aboriginal and Torres Strait Islander Impact Strategy and collaborates with law enforcement and healthcare agencies to improve crisis response and patient outcomes. Key research areas include forensic mental health patients' physical activity, suicide crisis interventions, and substance use among justice-involved youth. Her work integrates data linkage studies and systematic reviews to address healthcare gaps in vulnerable populations. She has co-authored over 70 publications spanning oncology, neuroprotection, and public health policy. Her recent studies highlight innovative methods like bioimpedance spectroscopy for lymphedema diagnosis and explore exercise safety in cancer survivors. Collaborations with German oncology centers inform integrative therapy approaches. While no formal awards are listed, her extensive publication record demonstrates significant scholarly impact. Advising and grant details are not explicitly stated, but her involvement in multi-disciplinary projects suggests active team-based research. She contributes to initiatives like the Mental Health and Climate Change Research Network and Public Health Connect platform, fostering cross-sectoral partnerships.

• Social Inequality
• Gender Segregation
• Income Inequality
• +۶ مورد دیگر

Kim A. Weeden is the Jan Rock Zubrow '77 Professor of the Social Sciences at Cornell University and Director of the Center for the Study of Inequality. She holds affiliations with the Department of Sociology, Feminist, Gender and Sexuality Studies Program, and has previously been affiliated with the University of Chicago's Sloan Center on Parents, Children, and Work. Education: Ph.D. in Sociology (Stanford University, 1999), MA in Sociology (Stanford, 1993), BS in Psychology and BA in Sociology (Willamette University). Weeden's research focuses on inequality in advanced industrial societies, particularly income inequality, gender wage gaps, occupational closure, educational decision-making, and gender segregation in academic and labor markets. Her work employs large-scale national surveys and quantitative methods to analyze systemic disparities. Her notable publications include studies on overwork's impact on gender earnings gaps, occupational closure mechanisms, and gender segregation in doctoral programs. These works have garnered awards such as the Richard S. Scott Award, Outstanding Article Award, and Max Weber Book Award. Scientific Awards: Richard S. Scott Award (2004) Outstanding Article Award (2015) Max Weber Book Award (2005) Stephen H. Weiss Presidential Fellow (2019) Weeden has secured grants, including a $2.7 million award to expand the Center for the Study of Inequality and Engaged Cornell grants for collaborative research. She serves as a founding co-editor of Sociological Science and has edited the American Journal of Sociology and Industrial and Labor Relations Review .

Bala Balasingamمشاهده پروفایل

استاد

• Battery Management Systems
• Autonomous Vehicles
• Human Factors Engineering
• +۴ مورد دیگر

Bala Balasingam is a Professor at the University of Windsor's Faculty of Engineering, specializing in interdisciplinary research at the intersection of electrical engineering, human factors, and autonomous systems. His work focuses on battery management systems, cognitive load assessment, and the human aspects of automated driving. Collaborating with the Faculty of Human Kinetics, he addresses challenges related to driver distraction and vigilance in autonomous vehicles. Research interests include battery parameter estimation, real-time state-of-charge tracking, and thermal management of lithium-ion batteries. His team employs advanced methods such as electrochemical impedance spectroscopy (EIS), Kalman filtering, and machine learning for battery diagnostics. In human factors, his studies utilize eye-tracking and biometric sensors to evaluate cognitive workload during complex tasks like vehicle takeovers in automated systems. Key contributions include novel approaches to battery internal resistance estimation, optimized charging algorithms, and validation frameworks for battery management systems. His recent work explores the integration of portable devices in automated driving systems and the impact of cognitive load on driver performance. Collaborations span engineering and kinesiology domains, emphasizing practical applications in transportation and energy sectors. Labs/Teams: Leads interdisciplinary projects combining electrical engineering and human kinetics expertise, with a focus on real-world applications in automotive and industrial automation.

Antonis Papapantoleonمشاهده پروفایل

استاد

• Mathematical Finance
• Stochastic Processes
• Lévy Processes
• +۵ مورد دیگر

Antonis Papapantoleon is a Professor of Mathematical Finance at the Delft Institute of Applied Mathematics (DIAM), part of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at TU Delft. He is also affiliated with the Delft FinTech Lab and serves as an Affiliated Researcher at the Institute of Applied and Computational Mathematics (IACM), FORTH. Previously, he held roles including Assistant Professor at the National Technical University of Athens (NTUA), Juniorprofessor at TU Berlin (2011–2017), and Deputy Professor at the University of Mannheim (2016–2017). His research focuses on stochastic systems, Lévy processes in finance, term structure/LIBOR modeling, systemic risk management, model-free methods, and applications of machine learning in finance. Key contributions include advancements in affine LIBOR models, systemic risk analysis, and copula-based risk allocation. His work has been published in top journals like Annals of Applied Probability , Mathematical Finance , and Finance and Stochastics . His research has been supported by the Hellenic Foundation for Research and Innovation (HFRI), Europlace Institute of Finance, DAAD, MATHEON, and private corporations. He has delivered invited talks globally and co-edited Advanced Modelling in Mathematical Finance (Springer, 2016). Current affiliations include leadership in the Delft FinTech Lab and active participation in international collaborations. His work bridges theoretical stochastic analysis with practical financial applications, emphasizing robust frameworks for risk measurement and derivatives pricing.

Chiara Monfardiniمشاهده پروفایل

استاد

• Econometrics
• Labour Economics
• Household Economics
• +۳ مورد دیگر

Chiara Monfardini is a Full Professor of Econometrics at the Department of Economics of the University of Bologna. Her academic discipline is ECON-05/A Econometrics. She holds a Degree in Statistics and Economics from the University of Padova (1992) and a PhD in Economics from the European University Institute (1997). Her career includes positions as an Assistant Professor (2001), Associate Professor (2005), and Full Professor (2017) at the University of Bologna. She is affiliated with the Institute for the Study of Labor (IZA) and CHILD-Collegio Carlo Alberto. As Co-Editor of the Review of Economics of the Household , she contributes to academic publishing. Her research focuses on microeconometrics, simulation-based inference, and applied studies in labor, household, and health economics. Key themes include parental time investments, gender gaps in time use, and the intergenerational transmission of educational choices. She leads projects like MINUTO (MindUsTogether), funded by PRIN2017, exploring mindful parenting interventions and parental engagement via digital tools. Teaching responsibilities include courses such as Econometrics , Microeconometrics , and Advanced Microeconometrics . Her work integrates quantitative methods with policy analysis, addressing issues like early childhood education impacts and voting behavior. Office hours are held on Mondays at 5 PM by appointment.

Abbas Edalatمشاهده پروفایل

استاد

• Computer Science
• Mathematics
• Exact Computation
• +۷ مورد دیگر

Abbas Edalat is a Professor of Computer Science and Mathematics at Imperial College London, and an Adjunct Professor at the Institute for Research in Fundamental Sciences, Tehran. He leads two research groups: Algorithmic Human Development and Continuous Data-Types and Exact Computation. His work spans computational mathematics, psychotherapy models, and exact real-number computation. Notably, he received the LICS 2017 Test-of-Time Award for foundational contributions to logic in computer science. Research interests include self-attachment psychotherapy, computational differential calculus, topology, and bisimulation in probabilistic systems. He has pioneered exact computation frameworks for real numbers, geometry, and dynamical systems, with applications in neuroscience and artificial intelligence. Professional activities include keynote talks at conferences like IJCNN and workshops on psychotherapy in Iran and the UK. Teaching includes advanced courses on dynamical systems, quantum computing, and computational techniques. He advises PhD students globally and chairs initiatives like the Science and Arts Foundation to expand educational access in developing nations. His interdisciplinary work bridges mathematics, computer science, and clinical psychology.

Guruswami (Ravi) Ravichandranمشاهده پروفایل

استاد

• Deformation and failure of materials
• Dynamic behavior
• Wave propagation
• +۵ مورد دیگر

Guruswami (Ravi) Ravichandran is the John E. Goode, Jr., Professor of Aerospace and Mechanical Engineering at the California Institute of Technology (Caltech). He has held roles including Director of the Graduate Aerospace Laboratories (2009–2015), Division Chair of Engineering and Applied Science (2015–2021), and currently serves as the Booth Leadership Chair (2015–2021). His academic journey includes a B.E. from the University of Madras (1981), followed by advanced degrees from Brown University (Sc.M. in Solid Mechanics, Applied Mathematics, and Ph.D. in 1987). He joined Caltech as an Assistant Professor in 1990, advancing through ranks to his current endowed chair. Ravichandran’s research focuses on deformation mechanisms, dynamic material behavior, wave propagation, and biomaterials. His work bridges micro/nano-scale mechanics with macroscopic material responses, including studies on composites, active materials, and cellular systems. Recent breakthroughs include insights into cell mechanics through mechanical topology and shock compression dynamics in advanced materials. Key achievements include the 2023 ASME Timoshenko Medal, 2024 Brown Engineering Alumni Medal, and election to India’s National Academy of Engineering and Academia Europaea. His experimental methodologies, such as 3D velocity measurements via stereo imaging, advance diagnostics in high-strain-rate mechanics. Ravichandran has pioneered shock compression studies in metallic alloys and polymeric lattices, contributing to energy absorption and failure prediction in aerospace systems. Leadership roles include steering interdivisional research at Caltech’s Graduate Aerospace Laboratories and fostering interdisciplinary collaborations. His work has implications for next-gen materials in aerospace, biomedical engineering, and geomechanics.

Maria de Fatima Ramalho Fernandes Salgueiroمشاهده پروفایل

استاد

• Statistical Modeling
• Structural Equation Models
• Longitudinal Data Analysis
• +۲ مورد دیگر

Maria de Fatima Ramalho Fernandes Salgueiro is a Full Professor at ISCTE-University Institute of Lisbon, where she leads research in advanced statistical methodologies as Head of the Business Development Research Unit (BRU-Iscte). Her scholarship focuses on longitudinal data modeling, structural equation frameworks, and classification techniques for socioeconomic analysis. She earned her PhD in Social Statistics from the University of Southampton and holds an Aggregation in Statistics and Data Analysis from ISCTE. Salgueiro has coordinated major research initiatives including the CHER Consortium panel studies and received the 2011 Scientific Merit Award for outstanding publications.

Jens von Wolfersdorfمشاهده پروفایل

استاد

• Thermal Engineering
• Fluid Dynamics
• Aerospace Engineering
• +۳ مورد دیگر

Jens von Wolfersdorf is a Professor at the University of Stuttgart's Faculty of Engineering, Department of Mechanical Engineering. His research focuses on advanced thermal management systems for high-speed aerospace applications, particularly in the areas of heat transfer, fluid dynamics, and combustion. He specializes in experimental and numerical methods for analyzing complex flows in rotating and stationary cooling channels, transpiration cooling for rocket engines, and turbulence modeling. His work integrates cutting-edge techniques such as thermochromic liquid crystal (TLC) measurements, particle image velocimetry (PIV), and computational fluid dynamics (CFD) to validate novel cooling configurations. Key projects include the COOREFLEX-Turbo initiative and contributions to the European ATLLAS-II program for high-speed vehicle materials. Recent studies emphasize rotational heat transfer effects in two-pass cooling channels, additive manufacturing of ribbed cooling structures, and validation of coupled FEM-CFD frameworks. His research addresses challenges in aerospace thermal protection, turbine blade cooling, and scramjet combustor efficiency. Publications span over 15 years, with a focus on transient heat transfer, flow visualization, and material characterization for transpiration-cooled systems. Collaborations involve experimental facilities for high-speed flows and advanced thermal measurement systems.

Andreu Casas Sallerasمشاهده پروفایل

مدرس

• Political Communication
• Public Policy
• Legislative Politics
• +۳ مورد دیگر

Andreu Casas Salleras is a Lecturer in Political Communication at Royal Holloway University of London, within the Department of Politics, International Relations and Philosophy. He is also a Faculty Associate at the Center for Social Media and Politics at New York University. He holds a PhD in Political Science from the University of Washington (2018). Prior roles include Assistant Professor at VU Amsterdam and Moore Sloan Research Fellowships at NYU's Center for Data Science. His research focuses on computational political science, examining social media's impact on collective action, policy-making, polarization, and content moderation by platforms. Key research areas include political communication dynamics, legislative politics (e.g., amendment processes), and computational methods (text-as-data, images-as-data). His work has been published in outlets like Science Advances and American Political Science Review , and he authored a book with Cambridge University Press. Funding sources include the European Research Council, NWO, and NSF. Current projects include a NWO-VENI grant on political biases in content moderation and a Horizon Europe-funded project on simulating media information environments. Dr. Casas has delivered invited talks on topics such as YouTube content moderation during the 2024 U.S. election and the geopolitics of social media deplatforming. His research contributes to UN Sustainable Development Goals related to education and societal resilience. He has no listed advisees but leads multiple research initiatives as Principal Investigator.

Adam Woźniakمشاهده پروفایل

استاد

• Coordinate Metrology
• Mechanical Engineering
• Quality Engineering
• +۵ مورد دیگر

Adam Woźniak is a Professor and Vice-Rector for Development at Warsaw University of Technology (WUT), holding positions at the Faculty of Mechatronics and the Institute of Metrology and Biomedical Engineering. He earned a PhD in 2002, D.Sc. (habilitation) in 2011, and was promoted to full professor in 2017. His research focuses on advanced geometrical measurement techniques, coordinate metrology, quality engineering, and reliability of mechatronic systems. He has authored 2 books and over 130 scientific publications, including work on probing accuracy, X-ray CT applications, and dynamic error analysis in manufacturing systems. Notably, he served as Director of the Institute of Metrology and Biomedical Engineering (2012–2020) and later as Dean of the Faculty of Mechatronics (2020). He received the Polish Prime Minister’s Prize for Scientific Achievements (2012) and multiple scholarships from the Foundation for Polish Science. Education: PhD (2002), D.Sc. (2011), Warsaw University of Technology; Visiting Professor at École Polytechnique de Montréal (2005–2006). Research interests include coordinate measuring machine (CMM) performance, probing system accuracy, and industrial CT applications. His work addresses dynamic error identification, probe error compensation, and precision measurement techniques. Recent projects involve high-density point cloud correction, scanning probe validation, and pediatric growth measurement systems. His articles analyze topics like probe reliability, CNC machine tool errors, and X-ray CT threshold optimization. Awards also include recognition for leadership in standardization bodies, including roles in Poland’s Council for Metrology and Standardization. He has supervised 6 PhD students and numerous master’s candidates, contributing to over a dozen funded research projects. His lab, the Virtual Manufacturing Research Laboratory, integrates metrology, mechatronics, and biomedical engineering for advanced measurement solutions.