جست‌وجوی استاد و پژوهشگر

Wook-Jin Clarkمشاهده پروفایل

استاد

• Sequential Art
• Visual Storytelling
• Comics
• +۳ مورد دیگر

Wook-Jin Clark is a Professor of Sequential Art at the Savannah College of Art and Design (SCAD) since 2020, where he also earned his MFA and BFA in Sequential Art. He focuses on teaching visual storytelling, emphasizing clarity in narrative, traditional/digital tools, and business strategies for freelance comics careers. Education: MFA & BFA in Sequential Art, SCAD His research interests span visual storytelling mechanics, hybrid digital-analog workflows, and the intersection of comics with licensed properties. His recent works include collaborations with major publishers like Boom! Studios, Image Comics, and Gudetama Comics. Key trends in his publications include: Adaptation of existing intellectual properties (Adventure Time, Regular Show) Experimental visual narratives blending humor and character-driven stories Integration of sequential art with mobile platform distribution (Stela App) Commercial storyboard applications for global brands (Nike, Amazon) He has received recognition from the American Library Association for his contributions to graphic novels. His industry experience includes partnerships with: Boom! Studios (2012–17) Image Comics (2017–18) Gudetama Comics (2018–21) Onie Press (2008–13) Clark's teaching incorporates practical training for freelance careers, covering intellectual property licensing, digital publishing platforms, and industry-standard production pipelines.

• Optimization
• Convex Analysis
• Nonlinear Analysis
• +۳ مورد دیگر

Radu Ioan Bot is a Professor and Dean of the Faculty of Mathematics at the University of Vienna, where he also serves as Head of the Department of Mathematics. His primary affiliations include the Department of Mathematics (Oskar-Morgenstern-Platz 1, 1090 Wien) and the Research Network Data Science (Währinger Straße 29, 1090 Wien). Bot's research centers on optimization theory with emphasis on convex/nonconvex optimization, monotone operators, and dynamical systems. He develops fast algorithms for variational inequalities and monotone inclusions by bridging continuous-time dynamics with discrete optimization methods. His work frequently addresses bilevel optimization, Tikhonov regularization, and second-order dynamics, yielding accelerated convergence rates for complex problems. Analysis of his 15 most recent publications (2023-2025) reveals dominant trends in time-scaling techniques, vanishing damping dynamics, and structured splitting methods. Key contributions include unifying Nesterov acceleration with Heavy Ball dynamics, developing reflected forward-backward algorithms for constrained optimization, and establishing strong convergence guarantees for monotone operator flows. These advances demonstrate consistent innovation in accelerating optimization while maintaining theoretical rigor. No scientific awards were mentioned in the provided source material. Details regarding student advising and research grants were not specified in the available information, though his leadership roles as Dean and Department Head indicate significant administrative responsibilities alongside active research. Bot participates in the University of Vienna's Research Network Data Science, suggesting interdisciplinary engagement in data-driven methodologies with potential applications in machine learning and computational mathematics.

Sue Turnbullمشاهده پروفایل

استاد

• Media Audiences
• Television Genre Studies
• Crime Drama
• +۴ مورد دیگر

Sue Turnbull is a Senior Professor of Communication and Media at the University of Wollongong, where she is affiliated with the Faculty of the Arts, Social Sciences and Humanities, School of the Arts, English and Media. With a distinguished career spanning over a decade at the university, she has established herself as a leading scholar in media studies, particularly in the areas of television genre studies, audience research, and crime drama. Her educational background includes a Ph.D. from La Trobe University in 1993, which laid the foundation for her extensive research career. Professor Turnbull's research focuses on media audiences, television genre studies (particularly crime and comedy), and television history. She is internationally recognized for her work on the transnational career of TV crime drama, exploring how formats like Nordic Noir travel across borders and adapt to local contexts. Her research also examines the evolving landscape of digital media, particularly the emergence of web series as a significant form of screen content. She approaches these topics with a keen eye for how media forms interact with cultural, social, and economic factors. Her recent publications reveal a consistent focus on transnational media flows, audience engagement with television genres, and the cultural significance of crime drama. She demonstrates particular expertise in analyzing how Australian media content fits within global contexts while maintaining distinctive local characteristics. Her work bridges academic research and public discourse, as evidenced by her regular media commentary and crime fiction reviews. Life member of Sisters in Crime, Australia Professor Turnbull has been highly successful in securing research funding, serving as Chief Investigator on multiple Australian Research Council (ARC) grants. Her current projects include 'Border Crossings: The Transnational Career of the TV Crime Drama' (DP 160102510) and the ARC Linkage project 'Valuing Web Series.' She actively supervises numerous PhD students working on diverse topics related to media, communication, and screen studies, fostering the next generation of scholars in her field. Beyond her academic work, Professor Turnbull serves as Chair of the BAD Sydney Crime Writers Festival and sits on the Board of Screen Illawarra, working to position the Illawarra region as a hub for international screen production.

Tamar Gutnerمشاهده پروفایل

استاد

• Global Governance
• International Organizations
• International Political Economy
• +۳ مورد دیگر

Tamar Gutner is Professor at American University's School of International Service (SIS), where she previously served as Associate Dean for Faculty Affairs and Graduate Education and directed the MAIR, GGPS, and IER MA programs. Her leadership extends to program development and faculty mentorship, recognized by the 2017 Outstanding Faculty Mentor award. Education: Ph.D. in Political Science, Massachusetts Institute of Technology M.A. in International Relations, Johns Hopkins University School of Advanced International Studies (SAIS) B.S. in Radio/TV/Film, Northwestern University Professor Gutner's research examines the performance and effectiveness of international organizations, particularly international financial institutions. Her work analyzes institutional collaboration between the IMF and World Bank, the design of the Asian Infrastructure Investment Bank (AIIB), and environmental governance in multilateral development banks. She employs theoretical frameworks from agency theory and institutional analysis to investigate mandate-performance gaps in global governance structures, with regional expertise in Central and Eastern Europe and emerging economies. Her publication trends reveal deepening focus on inter-organizational dynamics since 2020, shifting from single-institution analyses to collaborative mechanisms between multilateral entities. Recent work emphasizes evaluation methodologies for IO collaboration, with increasing attention to China's role in reshaping global financial governance through institutions like the AIIB. Scientific Awards: American University William Cromwell Award for Outstanding Teaching (2025) Darrell Randall Award for Outstanding Service (2014, 2024) Council on Foreign Relations International Affairs Fellowship (2019) Multiple AU SIS Faculty Research and Curriculum Development Grants Professor Gutner has secured significant research funding from the Council on Foreign Relations, Brookings Institution, MacArthur Foundation, and International Studies Association. As a mentor, she has guided numerous graduate students through AU's international relations programs, with former advisees now working in international organizations and policy institutions. Her 2019 fellowship at the IMF's Independent Evaluation Office informed both her scholarly work and practical contributions to institutional evaluation frameworks. Her professional engagement includes regular participation in major conferences like the American Political Science Association and International Studies Association, where she presents on MDB collaboration strategies and global governance innovations. Current projects examine evolving corporate strategies in multilateral development banks as accountability mechanisms.

John Gershmanمشاهده پروفایل

استاد بالینی

• Democracy Studies
• Food Security
• U.S. Foreign Policy in Asia
• +۷ مورد دیگر

John Gershman is a Clinical Professor of Public Service at New York University's Wagner Graduate School of Public Service. He directs the International Specialization program and co-directs the Capstone Program. As co-founder of the NYU Democracy Project and director of the NYU Democracy Scholars program, he focuses on democratization processes. He also leads the New York Southeast Asia Network and contributes to the Philippine Studies Initiative. His research spans democracy promotion, food security, U.S. foreign policy in Asia, and the political economy of natural resources in Ghana and the Philippines. He has held leadership roles in nonprofit think tanks since the 1990s, including Foreign Policy in Focus. Expertise includes governance, international development, health policy, and race/class/gender dynamics. He has been recognized for teaching excellence at NYU and maintains active roles in policy analysis and multilateralism studies. His work bridges academic research with practical advocacy, emphasizing rights-based approaches to development. Awards: 2017 NYU Recognition for Outstanding Teaching Key Roles: Director of International Specialization, NYU Democracy Project Co-Director Public Engagement: Regular commentary in media outlets like Washington Post , Foreign Affairs , and Council on Foreign Relations His academic office is located at 105 East 17th Street, Room 351, NYC, with weekly availability Wednesdays 4:30-6:30 PM.

Aleksandar Mijatovicمشاهده پروفایل

استاد

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

Aleksandar Mijatović is a Professor of Probability at the Department of Statistics, University of Warwick, and Deputy Head of Department for Research. He was previously Chair in Probability at King's College London and Reader in Probability at Imperial College London. His research focuses on probability theory, stochastic processes, mathematical finance, numerical stochastics, and data science. He holds a Ph.D. in low-dimensional topology from Trinity College Cambridge and worked as a quantitative analyst in foreign exchange derivatives before academia. Research interests include stochastic analysis of processes with jumps, simulation methods (e.g., Monte Carlo), stochastic control, and applications in finance. He is a Fellow of the Alan Turing Institute and maintains a YouTube channel, Prob-AM, explaining his research. His work often bridges theoretical probability with practical applications in finance and data science. Key publications explore topics like reflected Brownian motion, Lévy processes, branching processes, and stochastic gradient descent. Collaborations with institutions like King’s College London and Imperial College London highlight his academic networks. His contributions span theoretical advancements and computational methodologies, with applications in risk management, option pricing, and algorithm development.

Ke Chenمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Artificial Intelligence
• Computational Cognitive Science
• +۹ مورد دیگر

Dr. Ke Chen is a Senior Lecturer in the School of Computer Science at The University of Manchester, leading the Machine Learning and Perception (MLP@UoM) Lab. His research focuses on machine learning, deep learning, reinforcement learning, and their applications in intelligent systems, computer vision, and audio/speech processing. He has supervised over 50 PhD students and holds editorial roles in journals like Neural Networks and IEEE Transactions on Neural Networks . Dr. Chen has received awards such as the NSFC Distinguished Principal Young Investigator Award (2001) and JSPS Research Award (1993). Education: PhD in Computer Science (1990), with academic positions at institutions including Peking University, The Ohio State University, and Kyushu Institute of Technology. His professional activities include roles in IEEE Computational Intelligence Society committees and external examiner roles at universities like Essex. Research interests span computational cognitive systems, biometric authentication, and video game AI. Key contributions include advancements in deep architectures, reinforcement learning, and speaker-specific feature extraction. His lab, MLP@UoM, explores topics like explainable AI and transfer learning. Recent publications (2024) include work on goal-conditioned reinforcement learning and bias-resilient algorithms. He is actively involved in international conferences, serving as a keynote speaker and program committee member.

Joseph S. C. Lamمشاهده پروفایل

استاد

• Chinese Music
• Musicology
• Ethnomusicology
• +۷ مورد دیگر

Joseph S. C. Lam serves as Professor of Musicology in the School of Music, Theatre & Dance at the University of Michigan , specializing in the musics and cultures of Southern Song (1127-1275), Ming (1368-1644), and modern China (1900-present). His international profile includes regular lectures across China, Europe, and the United States. His research centers on: Historical Chinese music traditions across three dynastic periods Kunqu opera composition and performance practices Ethnomusicological analysis of Shijing (Classic of Poetry) vocalization Queer theory applications in traditional Chinese cross-dressing performance Interdisciplinary connections between Confucian ritual and musical expression Recent publications reveal a cohesive scholarly trajectory emphasizing contextual analysis of Chinese musical heritage, with increasing attention to gender studies and globalization frameworks. His work consistently bridges historical musicology with contemporary performance theory, particularly through examination of textual sources and stage realization practices. No scientific awards were documented in the source material. Teaching activities include courses on Chinese music/culture, ethnomusicology theory, and creative/historical music practices since 2020, with upcoming winter 2024 instruction on shiyue (Shijing-based vocal music). No laboratory facilities or research teams were specified.

Dave Mayerمشاهده پروفایل

استاد

• Business Ethics
• Organizational Behavior
• Leadership Studies
• +۴ مورد دیگر

Dave Mayer is the John H. Mitchell Professor of Business Ethics and Chair of the Management and Organizations Area at the Ross School of Business, University of Michigan. He specializes in ethical leadership, workplace fairness, and positive organizational behavior. Mayer holds a BA from UC Davis and a Ph.D. in Organizational Psychology from the University of Maryland (2004). Research Interests: His work focuses on ethical leadership, organizational justice, and strategies for fostering ethical and inclusive workplaces. He has published over 60 articles in top journals like the Academy of Management Journal and Journal of Applied Psychology , emphasizing topics such as moral disengagement, procedural fairness, and the impact of leadership on employee behavior. Recent Article Trends: Recent work explores the role of ethical climate, the effects of workplace stress on deviance, and the influence of moral language in social advocacy. His research also examines how photos of meaningful relationships reduce unethical behavior and the curvilinear effects of ethical leadership. Awards: Early Career Award (ISJR), Cummings Scholarly Achievement Award (Academy of Management), Fellowships from APS, APA, and SIOP. Speaking & Media: Regular contributor to Harvard Business Review and Fast Company . Featured in Bloomberg, Forbes, and NPR for his insights on workplace ethics and leadership. Advising & Impact: Collaborates globally with organizations to improve leadership and workplace culture. Conducts workshops on ethical decision-making and inclusive management.

• Algebra
• Representation Theory
• Mathematics Education
• +۳ مورد دیگر

Enrico Gregorio-Dep serves as an Associate Professor in the Department of Computer Science at the University of Verona, specializing in Mathematics. His academic sector is MATH-02/A - Algebra, with research focus in Algebra (ERC-2024 PE1_2). His research interests include Algebra, Representation Theory, Mathematics Education, and Geometry. He is a member of the Algebra research group that works in representation theory of algebras. His extensive teaching portfolio spans multiple degree programs including Mathematics, Computer Science, Bioinformatics, and Primary Teacher Education. Dr. Gregorio-Dep has been consistently teaching across various academic years from 2001/2002 through the current 2025/2026 period. His teaching load is substantial, typically involving 4-9 teaching credits per course across multiple departments. He serves on several academic committees including the Computer Science Teaching Committee, Mathematics and Data Science Teaching Committee, and the Collegio Didattico di Scienze della Formazione Primaria. His office is located at Ca' Vignal 2, Floor 2, Room 16, where he holds regular office hours on Tuesdays from 2:00 PM to 3:00 PM. Research focus: Algebra and representation theory Teaching specialization: Mathematics education and LaTeX Administrative roles: Multiple teaching committees Office location: Ca' Vignal 2, Floor 2, Room 16

David B. Masseyمشاهده پروفایل

استاد

• Singularity Theory
• Algebraic Geometry
• Complex Analysis
• +۲ مورد دیگر

David B. Massey is a Full Professor in the Department of Mathematics at Northeastern University, where he has been a faculty member since 1991 after joining as a regular faculty member following his National Science Foundation Postdoctoral Research Fellowship. Education: Bachelor's degree in Mathematics from Duke University (1977-1981), summa cum laude Ph.D. in Mathematics from Duke University (1981-1986) Professor Massey specializes in singularity theory , particularly complex analytic singularities, with research spanning algebraic geometry , topology , and complex analysis . His foundational work focuses on perverse sheaves, Milnor fibers, vanishing cycles, and stratified Morse theory, significantly advancing understanding of non-isolated singularities and Lê cycles. His methodologies integrate topological invariants with algebraic structures to solve complex problems in hypersurface singularities. Recent publications (2021-2024) reveal a concentrated exploration of numerical perverse sheaves, polar multiplicities, and real links, alongside innovative applications to hypersurface singularities. His work on Milnor fibers, Betti numbers, and monodromy demonstrates consistent advancement through stratified Morse theory, with notable contributions to Minkowski inequalities and non-isolated singularity analysis. Scientific awards: National Science Foundation Postdoctoral Research Fellowship (1991) Multiple teaching awards at Northeastern University Professor Massey has advised numerous graduate students throughout his career and founded the Worldwide Center of Mathematics, LLC in 2008, which has provided significant research support and educational resources. His work has been sustained by continuous grant funding including his early NSF fellowship and ongoing institutional support. He leads the Worldwide Center of Mathematics, LLC, an independent research organization dedicated to advancing mathematical knowledge through publications, conferences, and educational outreach since its founding in 2008.

Kristina Bätzمشاهده پروفایل

دانشیار

• Inverse Problems
• Mathematics
• Computed Tomography
• +۱ مورد دیگر

Kristina Bätz (née Meth) serves as an Associate Professor at the Chair of Mathematics IX (Inverse Problems) at the University of Würzburg. She is part of the Institute of Mathematics located at Campus Hubland Nord in Building 30 (Mathematics West), Room 00.018. Her contact information includes phone number +49 931 31-88700 and fax +49 931 31-838430. Dr. Bätz specializes in Inverse Problems, with particular focus on the mathematics of computed tomography as evidenced by her involvement with the Wuemax research project. Her research bridges theoretical mathematics with practical applications in imaging sciences. Within the teaching domain, Dr. Bätz offers advanced seminars in scientific computing, supervises final theses, and conducts oral examinations. Her academic work centers on mathematical approaches to solving inverse problems, which have significant applications in medical imaging and other scientific fields requiring reconstruction from indirect measurements. She maintains regular office hours by appointment, with initial contact typically established via email to facilitate scheduling and academic inquiries.

Hong Wangمشاهده پروفایل

استاد

• Numerical Analysis
• Differential Equations
• Fractional Calculus
• +۳ مورد دیگر

Hong Wang is a Professor in the Department of Mathematics at the University of South Carolina, part of the McCausland College of Arts and Sciences. He specializes in numerical analysis and differential equations, with a focus on numerical methods for fractional and variable-order equations. His work addresses complex boundary conditions, optimal control, and scientific computing challenges in advection-diffusion systems. Education Ph.D. in Mathematics, University of Wyoming (1992) Research Interests His research emphasizes numerical approximation techniques for differential/integral equations, particularly fractional diffusion-wave equations, variable-order models, and stochastic systems. Key areas include finite element methods, spectral methods, and fast algorithms for solving high-dimensional and time-dependent problems. He explores applications in optimal control, viscoelasticity, and multi-scale modeling. Recent Work Trends Recent publications highlight advancements in fractional calculus applications, including variable-exponent diffusion, distributed-order equations, and stochastic fractional differential equations. His work often combines theoretical analysis with computational efficiency, addressing challenges like nonsmooth parameters and singular density functions. Grants and Advising No specific grants or advisees are listed, but his research collaborations span computational mathematics, applied physics, and engineering systems. Labs/Teams No dedicated lab or team is explicitly mentioned, though his research aligns with computational and applied mathematics groups at the University of South Carolina.

• Computer Vision
• Robotics
• Computer Graphics
• +۵ مورد دیگر

Ioannis Stamos is a Professor of Computer Science at Hunter College, City University of New York (CUNY), within the School of Arts and Sciences. His research focuses on Computer Vision, Robotics, Computer Graphics, and 3D Visualization, with emphasis on 3D modeling using range and image data. He earned his Ph.D. in Computer Science from Columbia University (2001), followed by an M.S. and M.Phil. from Columbia's Computer Science Department, and a Diploma of Engineering from the University of Patras, Greece. Dr. Stamos has received prestigious awards including the NSF CAREER Award (2003) and Google Research Awards (2014, 2017). His work integrates 2D images and 3D range data for urban scene modeling, sensor fusion, and real-time object detection. Notable contributions include advancements in 6DoF pose estimation, LiDAR-based curb detection, and Kronecker product models for repeated patterns in urban imagery. He leads the Computer Vision & Robotics Lab and teaches graduate courses in 3D Computer Vision and Photorealistic Modeling. His research is supported by NSF grants, including MRI awards for mobile robotics and large-scale 3D modeling. He serves as Area Editor for the Journal of Computer Vision and Image Understanding and has co-chaired conferences like 3DV 2013. His lab collaborates on projects involving procedural modeling of urban environments and online classification of 3D point clouds.

• Statistical Inference
• Measurement Error Models
• Boundary Crossing Problems
• +۳ مورد دیگر

Liqun Wang is a Professor of Statistics at the University of Manitoba, within the Faculty of Science. His research focuses on statistical inference in complex models, measurement error correction, boundary crossing problems in stochastic processes, and Monte Carlo simulation methods. He holds a prominent role in advancing methodologies for nonlinear time series analysis and Bayesian inference. His work integrates theoretical rigor with practical applications, addressing challenges in econometrics, environmental science, and public health. Notable contributions include advancements in instrumental variable estimation, second-order least squares methods, and high-dimensional covariance estimation. He actively mentors graduate students in these areas and has published extensively in top-tier statistical journals. Recent research highlights include Bayesian bias correction techniques, sparse covariance matrix estimation, and modeling SARS-CoV-2 dynamics via wastewater data. His methodologies often bridge computational efficiency with statistical accuracy, making them applicable to diverse fields such as finance, biostatistics, and environmental monitoring. Despite prolific output (over 70 publications since 1990), Dr. Wang has yet to be explicitly noted for formal scientific awards. His academic profile emphasizes methodological innovation, with a strong focus on real-world data challenges and interdisciplinary collaboration.