جست‌وجوی استاد و پژوهشگر

• Geometry
• Group Theory
• Metric Geometry
• +۳ مورد دیگر

Petra Schwer is a full professor of Geometry at Heidelberg University, holding the position since February 2024. Previously, she was a professor at Otto von Guericke University Magdeburg (2018–2024) and the Karlsruhe Institute of Technology (2014–2018). She has also held research and academic positions at institutions including the University of Münster and UC Davis. Education: She earned her PhD in Mathematics from Westfälische Wilhelms-Universität Münster in 2009, supported by a stipend from the Studienstiftung des deutschen Volkes. Prior to that, she received her Diplom in Mathematics from the University of Bonn in 2005. Research Interests : Her work focuses on the interplay between geometric structures and group theory, particularly in metric spaces of nonpositive curvature, polyhedral complexes, and Coxeter groups. She explores geometric and combinatorial aspects of buildings, including Bruhat-Tits buildings and their generalizations, using methods from geometric group theory and metric geometry. Key Contributions : Recent publications include studies on folded galleries in affine buildings, the geometry of Coxeter groups, and the application of cube complexes in computational geometry. These contributions highlight her expertise in nonpositive curvature and geometric group theory. Grants and Funding : Dr. Schwer has secured grants such as DFG projects on buildings and symmetric spaces, collaborative grants in mathematical complexity reduction, and initiatives like the Young Investigator Network exploring geometric data analysis. Students and Advising : She has advised doctoral and master’s students including Isobel Davies, Marco Lotz, and Anna Michael (OVGU); Julia Heller and Annette Karrer (KIT). Her teaching includes advanced topics in geometry and group theory.

Benjamin C. M. Fungمشاهده پروفایل

استاد

• Data Mining
• Artificial Intelligence
• Cybersecurity
• +۶ مورد دیگر

Benjamin C. M. Fung is a Full Professor at McGill University's School of Information Studies and holds the Canada Research Chair in Data Mining for Cybersecurity. He is also an Associate Member at the School of Computer Science and affiliated with MILA and the McGill Digital Humanities Initiatives. His research focuses on data mining, AI, cybersecurity, privacy protection, and their applications in crime investigation, health informatics, and smart cities. Education: Ph.D. in Computing Science, Simon Fraser University (2007) M.Sc. and B.Sc. in Computing Science, Simon Fraser University Professional Engineer (P.Eng.) in Software Engineering, Ontario Research Interests: Data mining techniques for cybersecurity, AI ethics, privacy-preserving technologies, malware analysis, and foreign interference detection. His work has been supported by NSERC, SSHRC, DRDC, and FRQNT. Key Contributions: Developed the Kam1n0 tool for malware analysis, featured in Montreal's technological innovations. Co-founded the McGill Data Mining and Security (DMaS) Lab. Authored over 180 refereed publications with an h-index of 62. Awards & Recognition: 2022 IEEE CSR Best Research Paper Award ACM & IEEE Senior Member (2013) Top 2% Global Scientists (2021–present) Media & Public Engagement: Frequently comments on cybersecurity, disinformation, and foreign interference for CBC, CBC Radio, OMNI TV, and international outlets. His op-eds address topics like AI ethics and national security.

Wang-Hung Tseمشاهده پروفایل

پژوهشگر

• Applied Mathematics
• Pattern Formation
• Computational Biology
• +۳ مورد دیگر

Dr. Wang-Hung Tse is a researcher and faculty member in the Department of Mathematics at Trinity Western University (TWU), affiliated with the Faculty of Natural & Applied Sciences. He holds a PhD from the University of British Columbia (2016) and an MPhil from The Chinese University of Hong Kong (2009). His primary research focuses on pattern formation in biological systems, nonlinear dynamics, and the integration of machine learning with experimental data analysis. He has contributed to studies on crime hotspot dynamics, biological morphogenesis, and satellite data assimilation. Dr. Tse has taught courses including Differential Equations (MATH 321), Calculus III (MATH 223), and Business Mathematics (MATH 101). His interdisciplinary research emphasizes reproducible outcomes and involves agent-based modeling, computational simulations, and mathematical analysis of complex systems. Recent work includes collaborations on sea surface temperature modeling and crime pattern stability. His research methodologies span applied mathematical analysis of singularly perturbed systems, numerical bifurcation methods, and high-performance computing for large-scale simulations. Key contributions include studies on localized stripe stability in reaction-diffusion systems and the interplay between Gaussian curvature and pattern formation on Riemannian manifolds.

Wei Sunمشاهده پروفایل

استادیار

• Energy Systems Integration
• Renewable Energy
• Data Science
• +۳ مورد دیگر

Dr. Wei Sun is a Chancellor's Fellow (equivalent to Assistant Professor) in Energy Systems Integration at the University of Edinburgh's School of Engineering. His research specializes in low-carbon energy systems with high renewable penetration, utilizing data science and optimization techniques. He contributes to major initiatives like the National Centre for Energy Systems Integration (CESI) and Hydrogen’s Value in Energy Systems (HYVE). Research encompasses network integration of distributed energy resources, climate impacts on renewables, and multi-vector energy systems. Recent publications focus on hybrid energy storage, hydrogen integration, and machine learning applications for system optimization. He holds professional credentials as a Chartered Engineer (CEng) with memberships in IET and IEEE. Teaching includes Hydropower Design Projects and Renewable Energy Fundamentals. Visiting research affiliations include University College London, enhancing collaborative networks in energy systems research.

• Machine Learning
• Generative Modeling
• Scientific Computing
• +۳ مورد دیگر

Tanya Marwah is a Research Fellow at the Simons Foundation , collaborating with Polymathic AI . She earned her PhD from Carnegie Mellon University's Machine Learning Department, co-advised by Prof. Andrej Risteski and Prof. Zachary Lipton, and holds a master's degree from CMU's Robotics Institute. Her research bridges Machine Learning and Scientific Computing , focusing on generative modeling , inverse problems , and building scientific agents . Her work explores theoretical and empirical foundations for applying ML to differential equations, with key contributions in neural operators , memory mechanisms , and edge embeddings in GNNs . Recent publications highlight trends in PDE solvers via LLMs , cross-modal adaptation , and implicit regularization in SGD . She has received the prestigious Siebel Scholar award and actively contributes to top ML venues (NeurIPS, ICML, ICLR, TMLR). Her collaborations span institutions including Carnegie Mellon University, Polymathic AI, and CMU's Robotics Institute.

Chou Mabelمشاهده پروفایل

دانشیار

• Inventory management
• Supply chain optimization
• Operations-marketing interface
• +۴ مورد دیگر

Dr. Chou Mabel is Associate Professor in Analytics & Operations at the National University of Singapore. Her research spans inventory management, supply chain optimization, healthcare operations, and flexibility design, with particular focus on uncertainty modeling and operational efficiency. Recent work explores digital transformation in supply chains, including applications of digital twins in humanitarian logistics and risk mitigation strategies for sustainable investments. Her publications demonstrate strong methodological contributions to stochastic optimization, online resource allocation, and process flexibility design. Key research themes include: green technology investment risks, adaptive resource allocation under uncertainty, emission compliance in transportation, and innovative payment mechanisms to stimulate R&D. Her work frequently bridges operations management with marketing strategy and sustainability governance.

Po Lam Yungمشاهده پروفایل

دانشیار

• Harmonic Analysis
• Singular Integrals
• Sobolev Embeddings
• +۷ مورد دیگر

Po Lam Yung is an Associate Professor and ARC Future Fellow at the Mathematical Sciences Institute of The Australian National University. His research focuses on harmonic analysis, specifically singular integrals, Sobolev embeddings, time-frequency analysis, oscillatory integrals, and Fourier decoupling, with applications to partial differential equations, complex variables, and analytic number theory. He has contributed to sharpening Sobolev space embeddings and developing pseudodifferential calculi for complex variables/CR geometry. His work also explores Stein-Wainger oscillatory integrals and Fourier decoupling inequalities. His recent research includes studies on superorthogonality, discrete restriction estimates for parabolas, and polynomial Carleson operators. Notable collaborations involve projects like decoupling interpretations of Vinogradov's Mean Value Theorem. His ARC Future Fellowship supports work on decoupling inequalities and Bourgain-Brezis inequalities. Yung actively supervises research students in harmonic analysis and related fields. His academic profile includes over 35 publications and 311 citations, with an h-index of 11. Further details are available on his institutional webpage.

Ali Emdadمشاهده پروفایل

استاد

• Blockchain Technology
• Cryptoeconomics
• Information Systems
• +۶ مورد دیگر

Dr. Ali Emdad is a Professor and Executive Director of Research Centers at Morgan State University's Graves Business School. He holds leadership roles including Director of the National Fintech Center and Information Science & Systems. With a Ph.D. from Case Western Reserve University and executive training at Harvard/Yale/MIT, he bridges technology, business, and societal impact. His research focuses on blockchain, cryptoeconomics, IT strategy, and risk management. He pioneered academic programs like the B.S. in Supply Chain Management and the Ph.D. track in Information Systems, and established the Center for Blockchain & FinTech and the Center for Data Analytics & Sports Gaming Research. Dr. Emdad has secured $7.5M+ in external funding since 2019, emphasizing industry-academia collaboration. Education and Background: Earned Ph.D. in Information Systems from Case Western Reserve University. Completed executive leadership programs at Harvard, Yale, and MIT. Prior industry experience at Kennecott Corporation. Research & Innovation: Focuses on blockchain's last-mile challenges, trust verification in cryptoeconomics, and data-driven solutions for societal issues. Developed the Capital Markets Lab (since 2015) and the Student Managed Investment Fund (2024). Awards & Recognition: Recipient of Morgan State's highest faculty honor, the Iva G. Jones Medallion, and a 2007 Fulbright Fellow. His work emphasizes inclusivity and innovation, shaping academic excellence through AACSB accreditation standards. Grants & Partnerships: Secured over $7.5 million in funding from corporations and government agencies since 2019, fostering partnerships for applied research and community impact. Labs & Initiatives: Leads the National Fintech Center, Capital Markets Lab, and Student Managed Investment Fund. Co-founded the Center for Data Analytics & Sports Gaming Research.

Christoph Lattemannمشاهده پروفایل

استاد

• Digital Transformation
• Globalization
• International Business
• +۴ مورد دیگر

Prof. Dr. Christoph Lattemann is a Professor of Business Administration and Information Management at Constructor University Bremen gGmbH. He leads the School of Business, Social & Decision Sciences and directs the I3 Research Group focusing on Digital Transformation and Globalization. His work bridges innovation management, international business (especially China studies), and information systems design. He holds adjunct roles at the University of Agder (part-time). Education: Earned his professorship at Constructor University (since 2010), previously held positions at University Potsdam and Kiel. Visiting scholarships at Harvard, Stanford, and Copenhagen Business School. Research: Established the D-Forge Design Thinking Lab (2011) and ChinaGlobal Center (2012). Current projects include AI-based price determination (BMBF-funded) and StudyBuddy virtual companion (BMBF). Awards: Best Paper Award at Digivation 2019. Over 200 peer-reviewed articles and 15 books, including works on Huawei's globalization and Belt and Road Initiative. Advising: Supervised doctoral candidates like Dr. Ricardo Guerrero and Dr. Sören Michalke. Manages research teams (e.g., Dr. Audris Umel, Pia Gebbing). Labs: D-Forge Lab supports SMEs in innovation via design thinking; ChinaGlobal Center analyzes Sino-European economic relations.

Jesse Ratzkinمشاهده پروفایل

مدرس

• Geometric Analysis
• Differential Geometry
• Partial Differential Equations
• +۵ مورد دیگر

Jesse Ratzkin is a Lecturer at the University of Würzburg's Chair of Mathematics VI (Mathematics in the Natural Sciences). He holds a PhD from the University of Washington (2001) and a B.A. from UC Berkeley (1995). His research focuses on geometric analysis, including mean curvature, Q-curvature, eigenvalues of the Laplace-Beltrami operator, and isoperimetric inequalities. He has held academic positions globally, including a tenured role at the University of Cape Town (2010–2016). His research has been funded by grants such as the National Research Foundation of South Africa (2013–2016) and NSF fellowships. Notable publications include works on Q-curvature metrics, Sobolev inequalities, and geometric flows. He actively participates in academic service, including editorial roles and organizing international conferences. Teaching spans institutions like the University of Cape Town, where he designed courses in PDEs, linear algebra, and complex analysis. He has supervised PhD students like Murray Christian and mentored over 8 final-year projects. His outreach efforts include high school math programs in South Africa and Ireland.

• Nonlinear Differential Equations
• Mathematical Analysis
• Optimal Control
• +۳ مورد دیگر

Francisco Javier Fernandez Fernandez is a Professor at the University of Seville's Department of Mathematical Analysis. His research focuses on nonlinear differential equations, optimal control, environmental modeling, and mathematical analysis. He teaches courses such as 'Derivation and Integration of Functions of a Real Variable' and 'Professional Software in Environmental Issues' across various mathematics and interdisciplinary programs. His research group, 'Nonlinear Differential Equations,' explores topics like Stieltjes differential equations, population dynamics, and eutrophication control. Recent work emphasizes applications in environmental systems (e.g., Vespa Velutina population modeling, urban heat islands) and digital twin technologies for real-time simulation. Publications from 2025 highlight advancements in Stieltjes derivative theory and functional spaces, while earlier works address water circulation optimization and 3D eutrophication models. His contributions span over two decades, with a strong emphasis on bridging mathematical theory and environmental engineering challenges. No scientific awards are listed, but his extensive publication record reflects sustained academic impact. Advising and grant details are not explicitly mentioned in the provided texts, though his teaching roles suggest involvement in mentoring students through coursework.

• Differential Geometry
• Geometric Analysis
• CR Manifolds
• +۴ مورد دیگر

John M. Lee is a mathematician whose research focuses on differential geometry and geometric analysis, with significant contributions to CR manifolds, the Yamabe problem, Einstein metrics, and asymptotically hyperbolic manifolds. His work frequently appears in top-tier mathematics journals and involves collaborations with prominent researchers in the field. Research Interests: Lee's primary areas of investigation include geometric partial differential equations, conformal geometry, mathematical general relativity, and complex manifold theory. His research bridges pure differential geometry with applications in theoretical physics, particularly in the study of Einstein's field equations. Publication Trends: Lee's publications demonstrate a consistent focus on geometric structures with asymptotic behavior, boundary regularity problems, and the interplay between conformal geometry and Einstein metrics. Recent work emphasizes Sobolev-class asymptotics and constraint equations in general relativity. Collaborations: Frequent collaborators include Paul T. Allen, James Isenberg, Iva Stavrov Allen, C. Robin Graham, and David Jerison.

• Surgery
• Colorectal Surgery
• Proctology
• +۳ مورد دیگر

Dr. Ramazan Kozan is a full-time faculty member in the Department of General Surgery at Gazi University Faculty of Medicine since 2019. His primary affiliations include professional memberships in organizations such as the Turkish Surgical Society, Turkish Society of Colon and Rectal Surgery, and the National Endoscopic Laparoscopic Surgery Society. Colorectal Surgery Pelvic Floor Disorders Robotic & Laparoscopic Surgery da Vinci Robotic Console Surgeon His research focuses on surgical interventions for colorectal diseases, pelvic floor disorders, and robotic laparoscopic techniques. He has contributed to the validation of clinical tools and surgical outcomes in colorectal cancer, and his work includes experimental studies on surgical physiology and postoperative complications. The article trends highlight his expertise in colorectal surgery , minimally invasive techniques , and surgical responses to emerging infectious diseases like SARS-CoV-2. His work bridges clinical practice , experimental research , and cross-disciplinary collaboration in surgical innovation. FACS : Fellow of the American College of Surgeons (2023) FEBS-Coloproctology : European Board Qualification in Colorectal Surgery (2024) He has authored over 40 peer-reviewed publications and actively contributes to editorial and review processes in national surgical journals. His certifications include Endoscopy Training from the Turkish Surgical Society and da Vinci Robotic Console Surgeon accreditation.

• Corporate Strategy
• Business Model Diversification
• Resource Redeployment
• +۴ مورد دیگر

Timo Sohl is a Research Professor at the Barcelona School of Management, Universitat Pompeu Fabra (UPF). He holds a PhD in Management from the University of St. Gallen and graduated in Economics from the University of Heidelberg. Prior to UPF, he served as a postdoctoral researcher at IESE Business School and a visiting researcher at Texas A&M University. His research focuses on corporate strategy, particularly examining decisions related to a firm’s organizational boundaries, business line profiles, and resource redeployment mechanisms. Central themes include business model diversification, demand-side dynamics in multi-divisional firms, and the impact of economic shocks on organizational resilience. His work bridges theoretical insights with empirical analysis, often leveraging natural experiments to evaluate strategic outcomes. Recent studies highlight trends in multi-divisional firm performance under exogenous shocks, the strategic role of internal markets for redeployment, and the interplay between business model portfolios and organizational conflicts. Over 19 conference participations and collaborations with institutions like the Wharton School underscore his active engagement in academic discourse. His research has garnered international recognition, though specific award names are not explicitly listed. Collaborative projects include studies on global retail sectors and European business groups, reflecting his cross-national research focus. While no formal advisees are documented, his academic contributions span publications in top-tier journals like Management Science , Organization Science , and Strategic Management Journal . Sohl’s academic trajectory includes leadership in workshops on resource redeployment and corporate strategy, as well as media contributions to Barcelona’s economic policy dialogue. His research agenda prioritizes actionable insights for firms navigating complex strategic environments.

• Fractional Calculus
• Anomalous Diffusion
• Probability Theory
• +۵ مورد دیگر

Mark Meerschaert is a University Distinguished Professor in the Department of Statistics and Probability at Michigan State University. His career spans academia and industry, with teaching appointments at institutions including the University of Michigan, Michigan State University, and the University of Otago. He holds a doctorate in Mathematics from the University of Michigan (1984). His research focuses on fractional calculus, anomalous diffusion, probability models, and applications to environmental science and engineering. Key research areas include stochastic models for fractional calculus, continuous time random walks, and parameter estimation for heavy-tailed distributions. His work extends to medical imaging, fractional PDEs, and groundwater flow modeling. Collaborations involve interdisciplinary teams in computational mathematics, mechanical engineering, and climate science. Recent publications emphasize spectral methods for fractional PDEs, stochastic phase-field modeling, and time series analysis for climate data. His contributions bridge theoretical developments and practical applications in fields like turbulence, contaminant transport, and material science. Professional recognitions include his distinguished professor title at MSU. He advises across multiple disciplines and collaborates internationally on projects funded by grants from agencies like NSF and DOE.