جست‌وجوی استاد و پژوهشگر

Ihab Ilyasمشاهده پروفایل

استاد

• Data Management
• Data Cleaning
• Machine Learning for Data Quality
• +۶ مورد دیگر

Professor Ihab Ilyas is a leading figure in data management and machine learning at the Cheriton School of Computer Science , University of Waterloo , where he holds the Thomson Reuters Research Chair in Data Quality . He is currently on leave from the university, serving as a Distinguished Engineer, Proactive Intelligence at Apple Inc . His research focuses on data cleaning , large-scale data integration , knowledge graphs , and machine learning applications in data quality . He has pioneered systems like HoloClean and Saga , with commercial impacts through co-founded startups Inductiv (acquired by Apple) and Tamr . PhD in Computer Science from Purdue University Co-founder of Inductiv (acquired by Apple) Co-founder of Tamr Research Interests include: Probabilistic and uncertain data management Machine learning for data quality and enrichment Big data systems and information extraction Knowledge graph construction and optimization Scientific Awards and Recognitions include: Fellow of the Royal Society of Canada (2024) C.C. Gotlieb Computer Award (2024) IEEE Fellow (2021) ACM Fellow (2020) Cheriton Faculty Fellowship (2013-2016) Ontario Early Researcher Award

Manu Magarمشاهده پروفایل

پژوهشگر

• Plant breeding
• Tissue culture for plant breeding
• Gene expression
• +۵ مورد دیگر

Manu Magar is a Researcher at the School of Biological Sciences , University of Western Australia , with a focus on plant genetics and climate resilience. They also hold an external position as a Biotechnologist at the National Biotechnology Research Center, Nepal Agricultural Research Council since May 2014. M.Sc.Ag. in Agricultural Science from Acharya N G Ranga Agricultural University (2012) B.Sc.Ag. in Horticulture from Tribhuwan University (2009) Research Interests Their work centers on plant breeding , gene expression , and crop genomics to combat heat stress in wheat. Key areas include transcription factor analysis , ERF gene regulation, and drought tolerance mechanisms. Article Trends Magar’s publications (2022–2025) emphasize AP2/ERF superfamily genes in wheat, heat tolerance pathways, and ethyline signaling during grain filling. Their work bridges genomic studies and transcription factor roles in stress response. Collaborations & Research Active in international collaborations between Australia, Nepal, and India, Magar contributes to crop improvement via genomic analysis and biotechnology .

• Numerical Mathematics
• Finite Element Analysis
• Optimal Control
• +۳ مورد دیگر

Richard Franz Löscher is a researcher at the Institute of Applied Mathematics specializing in numerical methods for optimal control problems. He holds a BSc, Diplom-Ingenieur (Dipl.-Ing.), and Doctorate in Technical Sciences (Dr.techn.), demonstrating extensive technical education and engineering expertise. His educational qualifications include: BSc Diploma in Engineering (Dipl.-Ing.) Doctorate in Technical Sciences (Dr.techn.) Löscher's research centers on numerical mathematics with deep specialization in finite element methodologies for distributed optimal control problems governed by partial differential equations. His work addresses elliptic, parabolic, and hyperbolic control systems through regularization techniques, adaptive mesh refinement, and robust solver development. Key innovations include variable energy regularization frameworks, mass-lumping discretizations, and complexity-optimal space-time finite element systems that significantly advance computational efficiency and error estimation in constrained control environments. Analysis of his 2024-2026 publications reveals a cohesive research trajectory focused on overcoming computational bottlenecks in optimal control. His work consistently bridges theoretical rigor with practical implementation, emphasizing discretization schemes that balance accuracy and computational cost while addressing state/control constraints across diverse PDE systems. No scientific awards or honors were documented in available sources. Löscher maintains active research collaborations with prominent figures including Ulrich Langer and Olaf Steinbach, evidenced by co-authored publications and peer-review activities for journals like Journal of Computational and Applied Mathematics. His external research engagement includes a July 2024 visit to Delft University of Technology, highlighting international academic partnerships.

Federico Fabbriniمشاهده پروفایل

استاد

• EU Law and Policy
• Fundamental Rights
• Economic Governance
• +۹ مورد دیگر

Federico Fabbrini is a Professor at the School of Law and Government of Dublin City University (DCU) . He serves as founding director of the DCU Brexit Institute and the Dublin European Law Institute, and leads multiple EU-funded research initiatives, including BRIDGE, REBUILD, and EXPRESS2. Education : B.A. from University of Trento (2006), J.D. from University of Bologna (2008), Ph.D. from European University Institute (2012) Former judicial clerk at Italian Constitutional Court (2010-2011), qualified attorney in Italy (2011) Prior roles: Associate Professor at University of Copenhagen (Denmark), Assistant Professor at Tilburg Law School (Netherlands) with tenure His research interests span EU law and policy , with focus on fundamental rights , economic governance , defense integration , and post-Covid-19 reforms , often employing comparative analysis with the United States . He has authored four monographs on Oxford University Press, addressing topics like EU fiscal capacity post-Covid-19 and Brexit's constitutional implications. Recent peer-reviewed publications explore EU fiscal responses to the Ukraine war, defense union dynamics, and recovery facility legal technologies. His work intersects constitutional law , international economics , and crisis governance . Scientific Awards : Young European Leader 2022 Knight (Cavaliere) for high scientific merits by President of Italy (2021) DCU President's Research Award (2021) Charlemagne Prize fellowship (2019-20) Advising and Grants : Supervises doctoral students (e.g., Havva Yesil, Elettra Bargellini) and secures EU funding for projects like REGROUP and EXPRESS2. He provides evidence to European Parliament committees and national governments, while authoring reports for the Irish Ministry of Finance and Eurogroup Presidency .

Jie Baiمشاهده پروفایل

دانشیار

• Development Economics
• International Trade
• Industrial Organization
• +۳ مورد دیگر

Jie Bai is an Associate Professor of Public Policy at Harvard Kennedy School (HKS), focusing on firms and markets in developing economies. His research addresses barriers to firm growth, market frictions, and policy design for private sector development in regions like China, East Africa, and Southeast Asia. Methodologically, he combines randomized control trials, quasi-experiments, and structural modeling from industrial organization and international trade. He holds a Ph.D. in Economics from MIT (2016) and previously worked at Microsoft Research New England before joining HKS in 2017. His work emphasizes collaboration with governments and NGOs to evaluate industrial and trade policies. Key research themes include collective reputation in trade, environmental policy impacts, corruption dynamics, and child labor economics. His recent publications analyze China's dairy industry reputation, Vietnam's firm corruption patterns, and Zambia's product choice perceptions. He co-founded initiatives like the China Econ Lab and China and the Global Economy project to foster research on China's role in global economics. Teaching includes advanced microeconomic analysis and game theory. No grants or labs are explicitly listed in the provided texts.

Quoc Thong Le Giaمشاهده پروفایل

دانشیار

• Numerical Analysis
• Approximation Theory
• Partial Differential Equations
• +۵ مورد دیگر

Quoc Thong Le Gia is an Associate Professor in the School of Mathematics & Statistics at the University of New South Wales (UNSW), Sydney. He holds a PhD in Mathematics from Texas A&M University (2003), an MS in Mathematics from Texas A&M University (2000), and a BSc in Mathematics and Computer Science from UNSW (1998). His research focuses on Numerical Analysis , Approximation Theory , Partial Differential Equations , and Stochastic Processes , with particular expertise in problems on spherical domains. His work bridges theoretical mathematics with practical applications in computational science, data science, and machine learning. Le Gia's recent publications demonstrate a strong focus on numerical methods for PDEs on spheres, stochastic analysis, and machine learning applications. His work shows consistent progression from theoretical foundations to practical implementations, with increasing interdisciplinary applications in recent years. L. F. Guseman Prize in Mathematics, Texas A&M University (2003) As a dedicated academic mentor, Le Gia has supervised numerous PhD, Master's, and Honours students across computational mathematics and data science topics. He has secured significant research funding through ARC Discovery Projects including DP220101811 (2022-2024) and DP180100506 (2018-2020). Professionally, he serves as External Associate Editor for Frontiers in Applied Mathematics and Statistics , Secretary for ANZIAM's Computational Mathematics Group, and Co-chair of Mathematics of Computation and Optimisation (AustMS Special Interest Group).

Denise Headمشاهده پروفایل

استاد

• Cognitive Aging
• Neuroimaging
• Alzheimer's Disease
• +۹ مورد دیگر

Denise Head is Professor of Psychological & Brain Sciences and Associate Chair at Washington University in St. Louis, with an additional appointment as Associate Professor in Radiology. Her research integrates cognitive neuroscience and neuroimaging to study cognitive aging and Alzheimer's disease. PhD, University of Memphis MS, University of Memphis BS, University of New Orleans Her research focuses on age-related cognitive changes and their neural underpinnings. Key areas include spatial navigation deficits in aging, the role of lifestyle factors (exercise, sleep, stress) in brain aging, and interventions to support cognitive function in older adults. She uses virtual reality, mobile eye-tracking, and neuroimaging techniques such as fMRI and DTI. The recent publications highlight a consistent trajectory in cognitive neuroscience and aging research, with emphasis on neuroimaging biomarkers, structural brain changes, and cognitive performance in normal and pathological aging. Her work bridges psychology, neurology, and radiology, contributing to early detection and understanding of Alzheimer's disease. Scientific Awards: No awards listed in the provided text. Dr. Head advises graduate students and leads a research lab focused on cognitive aging, though specific student names are not listed. Her lab investigates mediators of brain aging and develops methods to support spatial navigation in older adults. While specific grants are not mentioned, her ongoing research and recent publications suggest active external funding. She leads a research team in the Department of Psychological & Brain Sciences, utilizing advanced neuroimaging and behavioral methods to study aging and dementia. The lab integrates real-world and virtual experimental designs to understand spatial cognition and brain health in older populations.

Bingzhang Chenمشاهده پروفایل

مدرس ارشد

• Biological oceanography
• Theoretical Ecology
• Ecosystem modeling
• +۹ مورد دیگر

Bingzhang Chen is a Senior Lecturer in the Department of Mathematics and Statistics at the University of Strathclyde, Faculty of Science. He previously held positions as a Chancellor’s Fellow at the same institution, a researcher at the Japan Agency of Marine-Earth Science and Technology (JAMSTEC), and was affiliated with Xiamen University and Mount Allison University. His academic journey began with a PhD from the Hong Kong University of Science and Technology. Education: PhD in Trophic interactions within the microbial food web, Hong Kong University of Science and Technology (Awarded 2009) His primary research interests lie at the intersection of biological oceanography and theoretical ecology, with a strong focus on ecosystem modeling. He investigates how biodiversity, particularly of phytoplankton, influences marine ecosystem functioning such as primary production and the biological carbon pump. A central theme in his work is understanding the differential temperature sensitivity between autotrophs and heterotrophs, a question that bridges statistical analysis, metabolic theory, and Earth system science. His recent publications highlight a consistent trend in developing and applying individual-based models (e.g., PIBM 1.0), analyzing large datasets on plankton thermal responses, and studying the impacts of climate change and anthropogenic activities (like nutrient input) on marine microbial communities across diverse regions from the South China Sea to the North Pacific and Scottish coastal waters. His work often combines modeling with observational data to address fundamental ecological questions. Scientific Awards: David Cushing Prize (2015) from the Journal of Plankton Research New Century Excellent Talent (2012) from the Ministry of Education of China Dr. Chen is actively involved in research supervision, currently guiding five PhD students. He has been the Principal Investigator on multiple research projects funded by organizations such as the Leverhulme Trust, FILAMO, and the National Science Foundation. His expertise in programming (R, Fortran, MATLAB) underpins his methodological approach. He also contributes to the scientific community as an Associate Editor for the prestigious journal Limnology and Oceanography . His work is associated with efforts to understand and model invasive species dynamics, such as the spread of Sargassum muticum in Scottish waters, and he is involved with external advisory groups like the MASTS Marine Artificial Intelligence Forum.

Michael Barnesمشاهده پروفایل

استاد

• Plasma Physics
• Magnetic Confinement Fusion
• Astrophysical Accretion Disks
• +۳ مورد دیگر

Michael Barnes is a Tutorial Fellow in Physics and Professor of Physics at the University of Oxford. He contributes to the Department of Physics through teaching and research, with a focus on plasma behavior in magnetic fields. His work has critical applications in sustainable energy production via fusion and astrophysical systems. Professor Barnes teaches Mathematical Methods for Physicists to undergraduate students at University College and lectures on Complex Numbers and Ordinary Differential Equations . His pedagogical emphasis is on developing mathematical fluency for advanced physics topics. His research explores plasma turbulence suppression by sheared flows, particularly in magnetic confinement fusion. Key projects include the development of the TRINITY multiscale gyrokinetic transport code and studies on tokamak transport barriers. Recent publications highlight advancements in gyrokinetic simulations, collision operators, and beam diagnostics for fusion applications. Notable trends in his publications include multiscale modeling of plasma turbulence, zonal flow dynamics, and experimental comparisons for fusion devices like JET, MAST, and ITER. Subfields span from fundamental kinetic theory to applied fusion engineering.

Mads Albertsenمشاهده پروفایل

استاد

• Environmental Microbiology
• Metagenomics
• Microbial Ecology
• +۱۴ مورد دیگر

Mads Albertsen is a Professor in the Department of Chemistry and Life Sciences at the Faculty of Engineering and Science, Aalborg University, Denmark. He leads the Albertsen Lab and is a key member of the Center for Microbial Communities. His research focuses on high-throughput DNA sequencing methods to explore uncultivated microbes and populate the tree of life. He is actively involved in major interdisciplinary projects such as NanoEat , Microflora Danica , and DarkScience , funded by the European Research Council, Villum Foundation, and Poul Due Jensen Foundation. His research interests span metagenomics , long-read sequencing , bioinformatics , microbial ecology , and environmental biotechnology . He develops cutting-edge methods to improve throughput in microbial genome recovery and applies them to diverse areas including wastewater treatment, human microbiome studies, and infectious disease diagnostics. His work has significant implications for public health and sustainability. The recent publications highlight a strong trend in long-read sequencing (Oxford Nanopore), metagenome-assembled genomes (MAGs) , and microbial dark matter . His team has published high-impact papers in Nature , Nature Methods , and Nature Communications , with applications in environmental systems and clinical diagnostics, including SARS-CoV-2 and bloodstream infections. His scientific awards include: The Grundfos Prize (2021) The Fritz Kaufmann Prize (2021) The Rising Star Award by IWA & ISME (2016) Research Result of the Year in Denmark (2015) The Spar Nord Fond Research Prize (2015) Mads Albertsen advises numerous PhD students, leads externally funded research projects, and is involved in technology transfer through his co-founding of DNASense ApS (2014–2020). He also serves on scientific advisory boards and contributes to public policy, including as a member of the Danish SARS-CoV-2 variant risk-assessment group. He teaches courses in Data Science, Bioinformatics, Genomics, and Environmental Microbiology at Aalborg University. His lab, the Albertsen Lab , is part of the Center for Microbial Communities , a leading research center focused on microbial systems biology and environmental applications. The lab collaborates extensively with national and international partners in academia, industry, and public health institutions.

Christian Rossowمشاهده پروفایل

استاد

• Software Security
• System Security
• Network Security
• +۱۵ مورد دیگر

Christian Rossow is Faculty at CISPA – Helmholtz Center for Information Security in Dortmund, Germany, where he leads the System Security research group. He holds dual academic appointments as a professor in the Computer Science department at Saarland University and as an honorary professor at TU Dortmund University. His research spans systems, software, and network security, with a focus on cyber attacks, defenses, and privacy. Research Interests: His primary research areas include software and system security (e.g., exploitation techniques, compiler-assisted defenses, AI-assisted (in)security), network security (e.g., DDoS mitigation, attack attribution, traffic analysis), and cybercrime (e.g., malware analysis, data-driven studies). He emphasizes foundational research with practical applications. Publication Trends: His recent work (2023–2025) shows a strong focus on microarchitectural attacks (e.g., cache side-channels, prefetcher analysis), browser and web security (e.g., sandbox escapes, CSS fingerprinting), network protocol vulnerabilities (e.g., TCP spoofing, infinite loops), and applied cryptography (e.g., ISA extensions for key management). His research consistently targets top-tier venues like IEEE S&P, USENIX Security, ACM CCS, and NDSS. Distinguished Paper Award at IEEE EuroS&P 2021 Best Student Paper Award at MIT Spam Conference 2010 Advising and Grants: He actively supervises PhD students and postdoctoral researchers, with alumni placed in industry (NVIDIA, Crowdstrike, Continental) and academia. His research is supported by major grants including EU H2020 SISSDEN, BMBF-funded BOB, DFG-funded anonymous communication, and RAMSES. He regularly serves in leadership roles in the community, including PC Chair for RAID 2022/2023 and USENIX WOOT 2018, and Track Chair for ACM CCS 2026. Labs and Teams: He leads the System Security research group at CISPA, a world-leading institution for security and privacy. The group comprises talented full-time researchers and focuses on cutting-edge research with strong individual supervision and worldwide collaborations.

Amy Catherine Rowatمشاهده پروفایل

استاد

• Mechanobiology
• Cancer biophysics
• Single-cell mechanics
• +۶ مورد دیگر

Amy Catherine Rowat is a full Professor in the Department of Integrative Biology and Physiology at UCLA's College of Letters and Science. She directs an interdisciplinary research program that integrates mechanobiology, microfluidics, cancer biophysics and food engineering to understand how physical forces shape cell behavior and to develop sustainable biotechnologies. Education & Affiliations: Professor, Department of Integrative Biology and Physiology, UCLA Member, UCLA College of Letters and Science Research Interests: Rowat's group deciphers how mechanical properties of cells and their nuclei influence disease progression and therapeutic response. Using high-throughput microfluidic deformability cytometry, her team discovered that cancer cells become stiffer and more invasive upon β-adrenergic signaling, linking stress hormones to metastatic potential. Parallel efforts focus on nuclear envelope mechanics, showing that histone H1.0 and transient nuclear deformation modulate chromatin structure and cell reprogramming. Beyond biomedicine, Rowat pioneers biophysical approaches for sustainable food production. She engineers edible scaffolds and emulsion-templated microcarriers to culture meat at scale, demonstrating spontaneous fusion of adipogenic and myogenic microtissues into marbled steak-like constructs. Recent Article Trends (2020-2025): Her latest publications reveal a cohesive trajectory: coupling mechanobiology to epigenetic regulation (viscoelastic matrix enhances chromatin remodeling), advancing single-cell mechanical phenotyping (optomagnetic arrays, high-throughput screens), translating findings to cancer therapy (β-blockers to sensitize chemotherapy) and expanding engineered foods (scalable cultured-meat bioprocessing). Funding & Awards: NIH R21 CA245667 (PI) – Repurposing beta-blockers to improve chemotherapy response (2021-2023) Laboratory & Teams: Rowat leads an active research laboratory at UCLA that trains graduate students and postdocs at the intersection of physics, engineering and biology. The lab maintains collaborations across UCLA Engineering, Jonsson Comprehensive Cancer Center, and external partners in food science and biotechnology companies.

Piotr Zwiernikمشاهده پروفایل

دانشیار

• Statistical Computing
• Theoretical Statistics
• High-dimensional Statistics
• +۷ مورد دیگر

Piotr Zwiernik is an Associate Professor in the Department of Statistical Sciences at the University of Toronto's Faculty of Arts and Science, with a cross-appointment in the Department of Mathematics. Currently on leave from the University of Toronto, he is based in Barcelona following his return in July 2025. His academic journey includes a PhD in Statistics from the University of Warwick (2011), research positions at prestigious institutions including Mittag Leffler Institute, IPAM, TU Eindhoven, UC Berkeley, and the University of Genoa, and an Assistant Professorship at Universitat Pompeu Fabra in Barcelona (2016-2021). His research spans the intersection of statistics, mathematics, and computational methods, with particular emphasis on graphical models, covariance matrix estimation, convex analysis, tensors, and algebraic and combinatorial methods in statistics. Zwiernik's work demonstrates a consistent focus on high-dimensional statistics, mathematical statistics, and elegant theoretical frameworks that bridge abstract mathematics with practical statistical applications. His recent publications reveal a deepening exploration of tensor analysis, algebraic statistics, and the geometric properties of statistical models. Zwiernik serves as an associate editor for leading journals including Biometrika, Scandinavian Journal of Statistics, and Algebraic Statistics. His research program includes the development of the GOLAZO R package for asymmetric regularization of log-likelihood in Gaussian graphical models. As an academic leader, he has served as Associate Chair for Research in his department and actively participates in numerous international conferences and workshops, reflecting his significant standing in the statistical community. His recent publications show a strong trend toward algebraic and geometric approaches to statistical problems, with increasing focus on tensor methods, positivity constraints in statistical models, and the theoretical foundations of graphical models. The work demonstrates remarkable continuity in exploring the mathematical structures underlying statistical models while adapting to emerging challenges in high-dimensional data analysis. Zwiernik is committed to mathematical accessibility and education, guided by Federico Ardila's four axioms which emphasize equitable distribution of mathematical potential, joyful mathematical experiences, mathematics as a malleable tool, and treating every student with dignity and respect. He actively seeks PhD students with strong mathematical backgrounds for research at UPF or the Institute of Mathematics of UPC.

Aviv Nevoمشاهده پروفایل

استاد

• Empirical Industrial Organization
• Marketing
• Antitrust and Competition Economics
• +۴ مورد دیگر

Aviv Nevo is the George A. Weiss and Lydia Bravo Weiss University Professor at the University of Pennsylvania, holding joint appointments in the Department of Economics (School of Arts and Sciences) and the Marketing Department at the Wharton School. His research focuses on empirical industrial organization, antitrust economics, marketing, and econometrics, with applications to consumer packaged goods, healthcare, telecom, and real estate. Nevo earned his Ph.D. (1997) and AM (1994) in economics from Harvard University and a BSc in mathematics and economics from Tel Aviv University (1991). He joined Penn through the Penn Integrates Knowledge (PIK) program, which recognizes scholars who bridge disciplines. His work has examined price competition, merger implications, and regulatory policy, with notable contributions to understanding market dynamics in digital platforms and telecommunications. Nevo serves as a fellow of the Econometric Society, a research associate at NBER, and co-editor of Econometrica and the RAND Journal of Economics . Nevo’s research interests span antitrust analysis, consumer behavior, and applied econometrics. His recent studies address issues such as steering incentives in telecom gatekeepers, substitution effects in streaming media, and the misuse of economic metrics in merger reviews. He has advised on high-profile cases, including the Sabre/Farelogix and Aetna-Humana mergers, integrating empirical rigor into policy debates. Awards: Fellow of the Econometric Society, NBER Research Associate, Institute for Fiscal Studies International Fellow. Editorial Roles: Co-editor of Econometrica and RAND Journal of Economics . Professional Activities: PIK University Professor, Penn Integrates Knowledge initiative participant. Nevo’s work bridges academia and policy, with a focus on real-world applications of economic theory. His teaching spans both economics and marketing disciplines, reflecting his dual departmental affiliation.

• Applied Mathematics
• Mathematical Physics
• Neurosciences
• +۴ مورد دیگر

Professor Paul C. Bressloff holds the Chair in Applied Mathematics and Stochastic Processes at Imperial College London's Department of Mathematics within the Faculty of Natural Sciences. His research focuses on stochastic and non-equilibrium processes, particularly in molecular and cell biology, utilizing tools from probability theory, statistical physics, and dynamical systems. He authored a seminal textbook Stochastic Processes in Cell Biology (Springer), with a 2nd edition published in 2022. Previously, he led the graduate program in mathematical biology at the University of Utah from 2001 to 2023. Research interests include stochastic multi-particle systems, active particles, phase separation, and diffusion across semi-permeable interfaces. His work spans applications in neural field theory, cytoneme-mediated morphogenesis, and protein trafficking. He is affiliated with the Biomathematics Group and Mathematical Physics Group at Imperial. Recent articles explore stochastic resetting in search processes, narrow-capture problems, and hybrid models of switching diffusions. His advising includes over 20 graduate students, many now faculty in mathematical biology. His contributions bridge applied mathematics and biological systems, emphasizing interdisciplinary approaches to complex stochastic phenomena.