جستجوی استاد راهنمای دانشگاهی

Megan Rennaمشاهده پروفایل

استادیار

• Clinical Psychology
• Clinical Health Psychology
• Emotion Regulation
• +۶ مورد دیگر

Dr. Megan Renna is an Assistant Professor in Clinical Psychology at the University of Southern Mississippi. She earned her Ph.D. in Clinical Psychology from Columbia University's Teachers College and completed a postdoctoral fellowship funded by the National Cancer Institute at Ohio State University Comprehensive Cancer Center. Her research focuses on the bidirectional relationship between psychological and physical health, particularly how emotion regulation and negative emotionality contribute to chronic disease risk in breast cancer survivors and healthy adults. Education: Ph.D. in Clinical Psychology (2019) and M.Ph. (2018) from Teachers College, Columbia University Training: Predoctoral internship at Duke University Medical Center Her work bridges clinical psychology, psychophysiology, and behavioral medicine through studies on inflammation, autonomic dysfunction, and cancer survivorship. Recent publications examine metabolic syndrome, smartwatch body composition metrics, and couples' health dynamics. Key research themes include stress reactivity, emotion regulation therapy, and biobehavioral pathways linking mental states to physiological outcomes. Dr. Renna teaches Advanced Psychopathology and can be reached at Megan.Renna@usm.edu. Her methodological expertise spans experimental worry inductions, longitudinal studies, and psychometric scale development, with a focus on reducing distress disorders through emotion regulation interventions.

Michael Ulbrichمشاهده پروفایل

استاد

• Nonlinear Optimization
• Optimal Control
• Numerical Analysis
• +۳ مورد دیگر

Prof. Dr. Michael Ulbrich is a full professor and Chair of Mathematical Optimization at the Technical University of Munich (TUM), within the School of Computation, Information and Technology. He has held this position since 2006 and previously served as Dean of Studies (2007–2010) and Vice Dean of the Faculty of Mathematics (2012–2015). His research focuses on nonlinear optimization, optimal control, and numerical analysis, with applications in fluid dynamics, shape optimization, and PDE-constrained systems. He leads projects in the DFG SPP 1962 and IGDK 1754, and has received prestigious awards including the Howard Rosenbrock Prize (2015) and the Doctoral Award from the TUM Association of Friends (1996). Ulbrich is Editor-in-Chief of Optimization and Engineering and contributes to multiple journals. His work bridges theoretical foundations and practical applications, including CO2 sequestration, fluid-structure interaction, and distributed optimization algorithms. Education: PhD (1996), Habilitation (2002) in Mathematics at TUM. Research stays at Rice University (USA) under DFG funding. Research Areas: Semismooth Newton methods, PDE-constrained optimization, optimal control of Navier-Stokes equations, and distributed parameter systems. Awards: Rosenbrock Prize, Teaching Excellence Awards, and recognition for doctoral work. Leadership Roles: Department Head of Mathematics (2022–), Member of TUM Senate (2019–2022), and Co-Chair of GAMM 2018. Ulbrich has authored influential textbooks like Semismooth Newton Methods for Variational Inequalities and Nichtlineare Optimierung . His recent projects include OptiGeoS (2024–2026) and collaborations on nonsmooth optimization and stochastic algorithms. His academic contributions span over 100 publications, emphasizing both algorithmic innovation and rigorous mathematical analysis.

Thomas Blumensathمشاهده پروفایل

استاد

• Signal Processing
• Image Processing
• X-ray Tomography
• +۶ مورد دیگر

Professor Thomas Blumensath is a Professor of Signal and Image Processing at the University of Southampton and a Fellow at the Alan Turing Institute. He is the Academic Lead in Image Processing and Reconstruction at the University's μ-VIS X-ray Imaging Centre and Director of Research at the Institute of Sound and Vibration Research (ISVR). His research focuses on advanced algorithms for solving inverse problems in tomographic imaging, combining machine learning, optimization, and statistical methods. Key areas include X-ray tomography strategies, GPU-accelerated reconstruction, and multimodal imaging applications. Education: B.Sc. (Hons) Music Technology and Audio System Design, University of Derby (2002) PhD in Electronic Engineering (Bayesian Signal Processing), University of London (2006) Research Interests: Professor Blumensath's work spans theoretical and applied signal/image processing, with emphasis on tomographic imaging techniques. His current projects address efficient reconstruction methods, spectral X-ray CT, and applications in manufacturing and plant science. He collaborates with advanced imaging facilities like Diamond Light Source and ISIS neutron imaging beamline. Key Contributions: His research bridges computational methods (e.g., compressed sensing) with practical imaging challenges, including limited-angle tomography and stereo imaging strategies. He leads the National Research Facility for Lab X-ray CT and has developed the TIGRE reconstruction toolbox. Grants & Projects: Active funding includes EPSRC projects on tomographic sensitivity monitoring and CT-based manufacturing inspections. Completed projects cover constrained reconstruction, AM process verification, and industrial CT metrology. Awards: Alan Turing Institute Fellowship Teaching & Leadership: He teaches modules on machine learning, biomedical image processing, and robotics. Leads the BEng Control Engineering program at the Joint Education Institute with Harbin Engineering University. Labs/Teams: Active in the Signal Processing, Audio and Hearing research group (SPAH) and the Institute for Life Sciences. Oversees the μ-VIS X-ray Imaging Centre's research initiatives.

John F. Cannyمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Human-Computer Interaction
• +۵ مورد دیگر

John F. Canny is the Paul and Stacy Jacobs Distinguished Professor of Engineering at the University of California, Berkeley, in the Department of Electrical Engineering and Computer Science (EECS). He joined the faculty in 1987 and is affiliated with the Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Center for New Media (BCNM), and other research institutes. His research focuses on artificial intelligence, robotics, human-computer interaction, and computational geometry. Canny is renowned for developing the Canny edge detector and contributions to motion planning, privacy-preserving algorithms, and real-time simulation. Education: B.Sc. in Computer Science and Theoretical Physics (Adelaide University, 1979), B.E. (Hons) in Electrical Engineering (Adelaide University, 1980), M.S. and Ph.D. in Electrical Engineering (MIT, 1983 and 1987). Research Interests: His work spans AI, robotics (including universal planar manipulation), HCI (e.g., MultiView video conferencing), and security (privacy in collaborative filtering). He has pioneered algorithms for edge detection, non-linear FEM simulation, and computational algebra. Awards: ACM Fellow (2020), Okawa Research Grant (2003), AAAI Classic Paper Award (2002), NSF PYI (1989), Packard Fellowship (1988), and ACM Doctoral Dissertation Award (1987). Advising & Grants: Advised over 30 Ph.D. students, many of whom hold prominent roles in academia and industry. His grants include NSF and Packard funding for foundational research in robotics and computational methods. He currently teaches CS188: Introduction to Artificial Intelligence. Labs/Teams: Leads research at the Berkeley Institute of Design (BiD), focusing on RISC robotics, activity-based computing, and privacy-enhanced telepresence systems.

David L. Schwartzمشاهده پروفایل

استاد پژوهش

• Intellectual Property Law
• Patent Law
• Empirical Legal Studies
• +۲ مورد دیگر

David L. Schwartz serves as the William G. and Virginia K. Karnes Research Professor of Law at Northwestern University's Pritzker School of Law, where he joined the faculty in 2015 and served as Associate Dean of Research & Intellectual Life from 2019-2022. His interdisciplinary work bridges legal scholarship, data science, and technology policy with emphasis on patent systems and judicial transparency. His educational foundation includes a BS from the University of Illinois at Urbana-Champaign and a JD cum laude from the University of Michigan Law School. Professor Schwartz specializes in empirical analysis of intellectual property systems , particularly patent litigation dynamics and court record accessibility. His research leverages computational methods to transform legal scholarship through projects like SCALES OKN, where he examines how technological interventions can democratize access to justice. This work situates him at the nexus of legal informatics , patent policy , and court system innovation , challenging traditional methodologies in legal academia. His publication trajectory reveals a decisive shift toward technology-driven legal transparency since 2018, with recent work focusing on large-scale court record analysis and open justice infrastructure. The 2024 Northwestern University Law Review article represents the culmination of his NSF-funded SCALES initiative, demonstrating how machine-readable litigation data can reshape legal scholarship and practice. As Co-Principal Investigator of the NSF-funded Systematic Content Analysis of Litigation EventS Open Knowledge Network (SCALES OKN), he leads a multidisciplinary consortium developing tools to convert opaque court records into structured, analyzable datasets. This $1.2M grant supports collaboration between legal scholars, computer scientists, and data engineers to build public infrastructure for judicial transparency. The SCALES OKN project operates as a cross-institutional research collective involving Northwestern faculty, data scientists from multiple universities, and partnerships with legal technology organizations. It maintains active development teams for natural language processing pipelines, litigation event databases, and public-facing analytical interfaces serving legal practitioners and researchers.

Kelly Dauberمشاهده پروفایل

استادیار

• Exercise Science
• Sport Psychology
• Gender Studies in Sport
• +۲ مورد دیگر

Kelly Dauber is an Assistant Professor of Exercise Science in the Department of Rehabilitation Sciences at Bloomsburg University of Pennsylvania . Her academic focus spans sport psychology, gender studies in sport, and mental health within performance settings. Ph.D., Springfield College M.S., Springfield College B.S., Hobart and William Smith Colleges Dauber teaches courses such as Methods and Materials in Elementary School Health and Physical Education , Women in Sport , Psychology of Sport , and Gender and Sport , emphasizing interdisciplinary approaches to health and performance.

• Development Economics
• Labour Economics
• Political Economy
• +۷ مورد دیگر

Gustavo J. Bobonis is a Professor in the Department of Economics at the University of Toronto, with affiliations at the Munk School of Global Affairs and Public Policy. He holds a Ph.D. from the University of California, Berkeley (2005) and a B.A. from the University of Puerto Rico at Rio Piedras (2000). He co-directs the Forward Society Lab and is actively involved in research on development, labor, political economy, and economic history. Research Interests: His work focuses on development economics, particularly the impact of public policies on poverty, violence, education, and governance. He employs rigorous empirical methods, including field experiments and quasi-experimental designs, to analyze issues such as intimate partner violence, corruption, clientelism, and human capital accumulation. His research is geographically concentrated in Latin America and Puerto Rico. Recent Research Trends: His recent publications and working papers (2022–2025) demonstrate a strong focus on institutional reform, including anti-corruption audits, domestic violence courts, and education management. He also investigates long-term social impacts of welfare programs and climate adaptation strategies. His interdisciplinary approach bridges economics, public policy, and social science. Scientific Awards: U of T Department of Economics Faculty Award for Excellence in Undergraduate Teaching, 2015 John C. Polanyi Prize in Economic Science, 2009 National Academy of Education / Spencer Foundation Postdoctoral Fellow, 2008 Advising and Grants: While specific student names are not listed, he advises graduate students through the Honours Essay and research workshops. He leads collaborative research projects funded through grants and affiliations with J-PAL and BREAD, often involving large interdisciplinary teams. His work includes randomized evaluations and long-term follow-ups, suggesting sustained funding and research support. Labs and Teams: He co-directs the Forward Society Lab, which likely supports policy-relevant research on social development. He frequently collaborates with economists such as Paul Gertler, Marco Gonzalez-Navarro, Simeon Nichter, and Luis R. Cámara Fuertes. His affiliations with J-PAL and BREAD indicate integration into major global research networks focused on development and poverty alleviation.

Alex Kleinمشاهده پروفایل

استادیار

• Capital Punishment
• Criminal Law
• Constitutional Law
• +۳ مورد دیگر

Alex Klein is an Assistant Professor of Law at Washington and Lee University School of Law, focusing on capital punishment, criminal law, and constitutional issues around execution practices. He teaches Criminal Law, Criminal Procedure: Adjudication, and Death Penalty courses. Education: J.D. from W&L Law (2016), B.F.A. from Virginia Commonwealth University Previous Faculty: Visiting Assistant Professor at W&L Law, Assistant Professor at St. Mary’s University School of Law His research explores the legal, ethical, and societal dimensions of capital punishment, particularly the Eighth Amendment's Cruel and Unusual Punishments Clause. He examines execution methods, bodily autonomy, and the psychological impact on executioners and legal stakeholders. Recent publications include analyses of Supreme Court cases like Baze v. Rees , Glossip v. Gross , and Bucklew v. Precythe , which address constitutional standards for execution protocols. His work critiques the Court's approach to pain assessment in capital punishment. Scientific Awards: Al Kauffman Faculty Excellence and Support Award from St. Mary’s Law Review on Race and Social Justice Before academia, Klein served in the Peace Corps (2008–2010) and worked in youth education/juvenile detention programs. He clerked at the Maryland Supreme Court and U.S. Court of Appeals for the Sixth Circuit. His family includes his husband, son, and two dogs in Lexington, Virginia.

Alyas Widitaمشاهده پروفایل

استادیار

• Urban Design
• Transportation Planning
• Urban Analytics
• +۱۱ مورد دیگر

Dr. Alyas Widita is an Assistant Professor in the Urban Design program at Monash University, Indonesia. He is actively involved in research and teaching, focusing on urban planning, transportation, and smart city technologies. He serves as the Program Coordinator for Urban Design and teaches courses such as Urban Design Studio: Smart City and Smart City Technologies. Education: Ph.D. in City and Regional Planning, Georgia Institute of Technology, United States Dr. Widita's research centers on the built environment, transportation systems, and urban analytics, with a strong emphasis on developing Asian cities. His work explores congestion impacts of mass transit, ride-hailing effects on vehicle ownership, rural-urban migration, walking behavior, and spatial patterns of MSMEs. He employs advanced data analytics and causal evaluation methods to inform urban policy. His recent publications span high-impact journals such as Transport Reviews , Journal of Planning Education and Research , and Travel Behaviour and Society . The research trend shows a consistent focus on data-driven urban policy, sustainable mobility, and equity in urban development across Indonesia and Southeast Asia. Scientific Awards and Recognition: No specific awards listed, but research widely cited and featured in media outlets. Dr. Widita has secured and contributed to multiple research projects funded by international and national agencies, including the World Bank, Korea Transport Institute (KOTI), Central Bank of Indonesia, and Georgia Department of Transportation. He is currently leading or co-leading projects on Jakarta’s subsidence, flood risk management using remote sensing, and the Citarum River revitalization. He collaborates extensively with researchers across disciplines and institutions. His work contributes to UN Sustainable Development Goals, particularly those related to sustainable cities and communities. He is accepting PhD students interested in the built environment, transportation, and urban analytics in developing Asia. He is involved in key labs and research teams including the Citarum Action Research Program (CARP), Intelligent and Dynamic Remote Sensing for Flood Risk, and interdisciplinary urban analytics initiatives at Monash Indonesia.

David Herzogمشاهده پروفایل

استاد

• Data Journalism
• Investigative Journalism
• Access to Information
• +۵ مورد دیگر

David Herzog is a Professor at the Missouri School of Journalism, University of Missouri, where he serves as Director of Data & Research Services and academic adviser to the National Institute for Computer-Assisted Reporting (NICAR) under Investigative Reporters and Editors (IRE). He plays a key role in guiding data journalism initiatives and professional training programs, including the Dow Jones News Fund residency. Herzog specializes in data journalism , investigative reporting , and access to public information . His work emphasizes the use of data analysis tools in storytelling and journalism education. He has contributed significantly to the development of data journalism curricula both nationally and internationally, particularly through the Missouri Method. He was awarded the 2020 Provost's Award for Leadership in International Education for his global outreach, having trained journalists and faculty from over ten countries. He advised the launch of the first university-based data journalism lab in China at Wuhan University. Author of Data Literacy: A User’s Guide (SAGE, 2015) Co-author of Mapping for Stories: A Data Journalism Guide (IRE, 2018) Developed and teaches data journalism courses for both students and professionals Involved in the interdisciplinary online M.S. in Data Science and Analytics program Herzog has a background as an investigative reporter with experience at The Providence Journal , The Baltimore Sun , and The Morning Call . His efforts have helped institutionalize data-driven journalism in academic and professional settings worldwide.

Margaret P. Chapmanمشاهده پروفایل

استادیار

• Risk-Averse Control Theory
• Stochastic Control Theory
• Safety Analysis for Dynamical Systems
• +۴ مورد دیگر

Margaret P. Chapman is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Toronto's Faculty of Applied Science and Engineering. She leads the DATA Lab (Decision Analysis for Trustworthy Autonomy), focusing on risk-averse and stochastic control theory with applications to environmental and human health. Education: B.S. and M.S. in Mechanical Engineering from Stanford University (2012, 2014), Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley (2020, advised by Claire Tomlin) Her research bridges robust and stochastic optimal control via risk measure theory, emphasizing safety-critical applications in healthcare and sustainable cities. Key challenges include scalable risk-sensitive control methods, integrating physics-based and data-driven models for safety analysis, and promoting technologies that enhance planetary and human well-being. Recent publications focus on risk-averse autonomous systems, CVaR-based safety analysis, and multi-time-scale modeling for cancer treatment. She has advised students in both graduate and undergraduate research roles, including NSERC awardees and thesis participants. Awards: US National Science Foundation Graduate Research Fellowship, Berkeley Fellowship, Terman Engineering Scholastic Award, Leon O. Chua Award She teaches courses like ECE 557 (Linear Control Theory) and ECE 1643 (Risk-Averse Control with Learning). Her invited talks span institutions such as MIT, Princeton, and Georgia Tech, highlighting risk-sensitive analysis and control for trustworthy autonomy.

António Fidalgoمشاهده پروفایل

استاد مدعو

• Cliometrics
• Economic History
• Long-term Economic Development
• +۴ مورد دیگر

António Fidalgo serves as an Adjunct Professor at the Católica Lisbon School of Business & Economics, Catholic University of Portugal, where he concurrently holds the position of Academic Director for the Masters in Applied Management program. His prior academic appointments include teaching roles at University of Magdeburg (Germany), Fresenius University (Germany), and Boston University (USA). His educational qualifications comprise: M.A. in Economics from Universitat Pompeu Fabra, Spain Ph.D. in Economics from Lausanne University, Switzerland Fidalgo specializes in cliometrics—the quantitative analysis of economic history—with research concentrated on pre-Industrial Revolution to Industrial Revolution periods. His work examines: Long-term economic development trajectories Historical living standards and agricultural production systems Economic inequality dynamics across centuries Methodological innovations in quantitative economic instruments Reproducibility frameworks for empirical economic research As Academic Director of the Masters in Applied Management, he oversees program development and student mentorship. While specific research grants and advisee details remain undisclosed in available records, his leadership role demonstrates significant engagement in graduate education administration and curriculum design within quantitative economics.

Kwang-Sung Junمشاهده پروفایل

استادیار

• Interactive Machine Learning
• Reinforcement Learning
• Multi-Armed Bandits
• +۷ مورد دیگر

Kwang-Sung Jun is an Assistant Professor at the University of Arizona, Department of Computer Science. His research spans interactive machine learning, reinforcement learning, and learning theory, with a focus on multi-armed bandits, Bayesian optimization, and generalized linear models. Education : Ph.D. in Computer Science from the University of Wisconsin-Madison (2015). Research Trends : Kwang-Sung's recent work (2023-2025) emphasizes bandit algorithms with second-order bounds, adaptive experimentation, and PAC-Bayes frameworks. He explores low-rank structures in regression, explainable reward shaping, and environmental risk modeling via probabilistic assessments of postfire debris-flows. His publications often bridge theoretical guarantees (e.g., regret bounds) with practical applications in machine learning and environmental hazards. Expertise : Interactive machine learning Multi-armed bandits Confidence sequences Reinforcement learning Human-machine hybrid systems

• Biostatistics
• Genetics
• Maternal & Child Health
• +۴ مورد دیگر

Heping Zhang is the Susan Dwight Bliss Professor of Biostatistics at the Yale School of Public Health , with secondary appointments in the Child Study Center , Department of Statistics and Data Science , and Department of Obstetrics, Gynecology, and Reproductive Sciences . He directs the Collaborative Center for Statistics in Science (C²S²) and leads the Reproductive Medicine Network data coordinating center. Education: PhD in Statistics, Stanford University (1991) Postdoctoral Fellow, Mathematical Science Research Institute (1991) Research Focus : Zhang specializes in biostatistical methodology for genomic data analysis , clinical trials , and reproductive medicine . His work bridges genetics , mental health , and maternal-child health through innovative statistical approaches. Awards : 2023 Web of Science Highly Cited Researcher 2023 International Chinese Statistical Association Distinguished Achievement Award 2022 Institute of Mathematical Statistics Neyman Award and Lecture 2011 Royan Institute International Research Award 2011 Institute of Mathematical Statistics Medallion Award 2008 Harvard School of Public Health Myrto Lefokopoulou Distinguished Lecturer Professional Roles : He served as President of the International Chinese Statistical Association (2019) and Former Editor of the Journal of the American Statistical Association - Applications and Case Studies . His lab develops open-source software tools like ABESS , STREE , and modSaRa for genomic and clinical data analysis.

Giorgio Grisettiمشاهده پروفایل

استاد

• Mobile Robotics
• SLAM
• Robot Localization
• +۳ مورد دیگر

Giorgio Grisetti is a Full Professor at Sapienza University of Rome within the Department of Systems and Computer Science, maintaining active research roles in the RoCoCo lab at Sapienza since November 2010 and the Autonomous Intelligent Systems Lab at Freiburg University where he previously served as a Post Doc under Wolfram Burgard starting in 2006. His educational background includes a M.Sc. in Computer Engineering from the University of Rome (2001) and a Ph.D. from Sapienza University of Rome's Intelligent Systems Lab (2006), supervised by Daniele Nardi. His doctoral thesis focused on SLAM using Rao-Blackwellized particle filters. Dr. Grisetti's research centers on mobile robotics with emphasis on robust solutions for autonomous navigation systems. His work spans theoretical and practical advancements in Simultaneous Localization and Mapping (SLAM), robot localization, path planning, and sensor fusion, particularly leveraging LiDAR and multi-sensor configurations. Recent publications demonstrate strong focus on optimization techniques, sensor calibration, and real-time performance for autonomous systems operating in complex environments. His publication trends reveal deep specialization in LiDAR-based SLAM (7 of 15 recent articles), bundle adjustment methods (4 articles), and sensor calibration/perception (3 articles), with consistent contributions to top robotics venues like IEEE Robotics and Automation Letters and ICRA. Key recognitions include: Nomination for the best IROS paper award (2010) Open Source achievement award from Willow Garage (2010) Best paper award at the International Conference and Exhibition on Unmanned Areal Vehicles (2010) Best Paper award at ICRA 2009 (2009) His research is conducted through the RoCoCo lab at Sapienza University of Rome and the Autonomous Intelligent Systems Lab at Freiburg University, focusing on developing foundational algorithms for mobile robot autonomy. Current projects emphasize robust perception systems, optimization frameworks for sensor fusion, and practical implementations for real-world navigation challenges.