جست‌وجوی استاد و پژوهشگر

Kelly Bakerمشاهده پروفایل

دانشیار

• Maternal and Child Health
• One Health
• Infectious Disease Prevention
• +۷ مورد دیگر

Kelly Baker, PhD, is an Associate Professor and Director of the Center for Climate Change and Health Equity at the University at Buffalo’s Department of Epidemiology and Environmental Health (School of Public Health and Health Professions). Her research focuses on transdisciplinary interventions addressing global health challenges, including maternal and child health, One Health frameworks, infectious disease transmission prevention, water insecurity, antimicrobial resistance, and climate change impacts in low-resource settings. She has held prior roles at institutions such as the University of Iowa and Emory University. Education: PhD in Molecular Microbiology and Immunology, University of Maryland Baltimore BS in Biology and Ecology, Oral Roberts University Research Interests: Dr. Baker explores the intersection of climate change, urbanization, and health equity. Her work examines how environmental factors like flooding and water contamination contribute to disease burdens in vulnerable populations, particularly in informal settlements. She also investigates interventions to reduce enteric infections in children through improved sanitation and diagnostics. Recent Article Trends: Her recent publications emphasize occupational safety in small businesses, spatial patterns of pathogen contamination, and policy analyses for diarrheal disease prevention in Kenya. These studies often blend quantitative methods with community-based approaches to address systemic health inequities. Awards and Honors: ASM Student Travel Grant Award Global Health Institute Scholar (Emory University) U.S.-Africa Frontiers of Science Fellow Advising and Grants: While specific grant details are not listed, her leadership in the Center for Climate Change and Health Equity underscores her role in securing funding for transdisciplinary projects. She mentors students in global health research, though no named advisees are documented here. Labs/Teams: Directs the Center for Climate Change and Health Equity, which integrates environmental and public health research to address climate-driven health disparities.

Jen Pylypaمشاهده پروفایل

پژوهشگر

• Medical anthropology
• Health and well-being of women and children
• Transnational adoption
• +۷ مورد دیگر

Jen Pylypa is a researcher in the Department of Sociology and Anthropology at Carleton University , focusing on medical anthropology, transnational adoption, and immigrant health. She holds a B.A. in anthropology from the University of British Columbia and an M.A. and Ph.D. in medical and cultural anthropology from the University of Arizona. Research Interests: Health and well-being of women/children, self-medication practices, global health worker migration, Southeast Asia (Laos/Thailand), and immigrant communities in North America. Grants: SSHRC, NSF, and Wenner-Gren Foundation fellowships. Supervision: Mentors graduate students in medical anthropology, adoption studies, gender studies, and Southeast Asia research. Courses Taught: Anthropology of the Body, Ethnographic Methods, Health and Globalization, and Practicum Placement. Scientific Awards: Social Sciences and Humanities Research Council (SSHRC) grants American National Science Foundation (NSF) fellowships Wenner-Gren Foundation for Anthropological Research grants

Masmudur Rahmanمشاهده پروفایل

استادیار

• Molecular Virology
• Cancer Biology
• Oncolytic Viruses
• +۳ مورد دیگر

Masmudur Rahman is an Assistant Professor at Arizona State University (ASU), affiliated with the School of Life Sciences and the Biodesign Center for Personalized Diagnostics. He leads research on molecular virology, focusing on oncolytic viruses like myxoma virus (MYXV) to treat cancers, particularly leveraging their ability to target cancer cells with compromised innate immunity. His work combines virology, genetic engineering, microscopy, and bioinformatics. Education highlights include a BSc and MSc from the University of Dhaka, a PhD in Molecular Virology from the Indian Institute of Science (IISc), and postdoctoral research at the University of Western Ontario and University of Florida, studying poxvirus immune modulation. He has received grants from NIH and the Arizona Biomedical Research Commission for projects on cancer virotherapy and virus-host interactions. Research interests span viral host range mechanisms, tumor tropism, and combination therapies (e.g., selinexor + MYXV). His lab develops strategies to enhance viral efficacy using stem cells and explores autosis induction in CAR-T cells. He teaches undergraduate research and honors courses in microbiology and cell biology, emphasizing hands-on training in virology techniques. Grants include NIH-funded studies on overcoming CAR-T resistance via autosis and targeting metastatic cancers with MYXV-selinexor combinations. His work has been published in Viruses , Cancer Research Communications , and International Journal of Molecular Sciences , among others.

Daniel Halpern-Leistnerمشاهده پروفایل

دانشیار

• Algebraic Geometry
• Homological Algebra
• Mathematical Physics
• +۳ مورد دیگر

Dr. Daniel Halpern-Leistner is an Associate Professor of Mathematics at Cornell University, affiliated with the College of Arts and Sciences. His work focuses on algebraic geometry, homological algebra, and mathematical physics. He holds a Ph.D. from the University of California, Berkeley (2013). His research extends geometric invariant theory through projects like 'beyond geometric invariant theory,' addressing moduli problems using derived algebraic geometry and stacks. Notable awards include the 2022 Sloan Fellowship and an endowed professorship. Education: Ph.D. in Mathematics, UC Berkeley (2013) Research interests emphasize moduli spaces, derived categories, and stability conditions. He explores applications to D-equivalence conjectures and Verlinde formulas. Recent work includes studies on equivariant derived categories, affine Grassmannians, and noncommutative minimal model programs. Teaches advanced courses like MATH 6670: Algebraic Geometry and MATH 7670: Topics in Algebraic Geometry . Active in NSF-funded projects, including the 'CAREER: Moduli Spaces and Derived Categories' grant. His scholarship bridges classical geometry with modern algebraic and categorical frameworks.

• Database Systems
• Machine Learning in Databases
• Self-Driving Database Management Systems
• +۳ مورد دیگر

Lin Ma is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, since August 2023. His research focuses on advancing database systems through machine learning integration, with a particular emphasis on self-driving DBMS, query optimization, and GPU acceleration. He holds a PhD from Carnegie Mellon University, where he also served as a postdoctoral researcher, and previously worked as a Software Engineer at Databricks. Research Interests: Lin’s work bridges database management systems and machine learning, aiming to create autonomous systems capable of self-optimization. Key areas include workload forecasting, behavior modeling for self-driving DBMS, and leveraging GPU capabilities for large-scale analytics. His contributions have been recognized through publications in top venues like VLDB, SIGMOD, and CIDR. Service: He actively serves on program committees for major conferences including SIGMOD, VLDB, and CIDR, and has held roles such as Web/Information Chair for SIGMOD (2023). His contributions extend to academic service, including admissions and faculty search committees at CMU and UMich. Labs & Projects: Lin leads research initiatives in database systems, including the QueryBot5000 framework for workload forecasting, and collaborates on projects like Vortex and Database Gyms to advance GPU-accelerated analytics and self-driving system design.

Mehdi Mehraliمشاهده پروفایل

پژوهشگر

• Hydrogel
• Geopolymer Engineering
• Graphene
• +۴ مورد دیگر

Mehdi Mehrali serves as a Senior Researcher in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), Denmark. His research spans advanced materials engineering with focus on sustainable construction and biomedical applications. Research Focus: Dr. Mehrali's work centers on geopolymer engineering , hydrogel development , and nanomaterial reinforcement for 3D-printed construction. His fingerprint reveals expertise in biomaterials (39%), graphene (45%), and phase change materials (27%), contributing to UN Sustainable Development Goals through sustainable infrastructure solutions. Publication Trends: Recent work demonstrates convergence of civil engineering with AI-driven material design (e.g., machine learning for geopolymer extrusion) and biomedical applications (e.g., antibacterial hydrogels). His 2025 publications show strong emphasis on multifunctional composites with self-sensing capabilities and robotic integration. Awards & Recognition: 6 similar researcher profiles identified in global networks 5 Mendeley readers for recent work Featured in 3 X (Twitter) discussions Supervision & Grants: Actively supervises three PhD candidates on 3D-printed construction materials while collaborating on major projects including COOLBATTERY (€2.1M) and RESTORATIVE grid-scale energy storage. His research attracts significant downloads (321 for hydrogel review) and citations (30+). Laboratory Focus: Leads research in Materials and Surface Engineering at DTU's Produktionstorvet facility, specializing in printable geopolymers, hydrogel robotics, and cement-based smart materials for sustainable construction.

Natalia Berloffمشاهده پروفایل

استاد

• Applied Mathematics
• Theoretical Physics
• Quantum Computing
• +۶ مورد دیگر

Professor Natalia Berloff is a Professor of Applied Mathematics at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP), where she has been a faculty member since 2002. She is also a Fellow of Jesus College, Cambridge. From 2013 to 2016, she served as Professor, Dean of Faculty, and Director of the Photonics and Quantum Materials Program at Skoltech. Previously, she held positions at the University of California, Los Angeles, including UC President's Research Fellow (1997-1999) and PIC Assistant Professor (1999-2002). Her research focuses on quantum fluids, physics-inspired computing, and non-equilibrium quantum systems. Key areas include coherence in quantum systems, superfluidity, Bose-Einstein condensates, and classical/quantum simulators. Her work bridges applied mathematics and theoretical physics, with applications in optical computing and quantum technologies. Recent studies emphasize Ising machines, photonic networks, and analog computing solutions for optimization problems. Her publications span over two decades, with recent trends in analog optical computing, gain-based systems, and quantum annealing. She leads the Quantum Fluids group, exploring novel computational paradigms using quantum fluids and polariton condensates. Her contributions have advanced interdisciplinary fields like quantum simulation and photonic-based AI. Education: Doctorate in Applied Mathematics (details not explicitly stated but implied via career progression). Grants/Awards: No specific grants or awards listed, though her leadership roles imply significant external funding. Labs/Teams: Leads the Quantum Fluids group and the Physics-inspired Computing team at DAMTP.

Tom Verhoeffمشاهده پروفایل

استادیار

• Software Engineering
• Model-Driven Engineering
• Domain-Specific Languages
• +۷ مورد دیگر

Tom Verhoeff is an Assistant Professor at the Faculty of Mathematics and Computing Science of Eindhoven University of Technology (TU/e) , working within the Software Engineering & Technology group. His research focuses on Model-Driven Engineering (MDE) , Domain-Specific Languages (DSLs) , and the intersection of mathematics, computing, and the arts . He teaches courses in data analytics, programming, algorithms, theoretical computer science , and logic . Verhoeff earned both his MSc and PhD in Technical Science (Mathematics and Computer Science) from TU/e. He is actively involved in promoting mathematics and informatics through initiatives like the annual Bridges conference , and serves as board member and treasurer of the Dutch Mathematics Olympiad , as well as chair of the Koos Verhoeff MathArt foundation . He has also held roles as guest lecturer in Lithuania and Finals Director for the ACM International Collegiate Programming Contest . Research Interests: Verhoeff’s work spans Model-Driven Engineering , domain-specific language development , and 3D geometric modeling . His scholarship often explores symmetry, recursion, and mathematical visualization , particularly through computational art and algorithmic puzzles . Recent publications highlight 3D rotation methods , knot theory , and mathematical art using lattice paths and geometric transformations . Scientific Awards: ACM ICPC European Founders Award (2004) IOI Distinguished Service Award (2007) Second Place in the 2022 Wolfram Computational Art Contest Notable Collaborations and Affiliations: He is affiliated with the Esprit Working Group on Asynchronous Circuit Design (ACiD-WG) , WIRE (TUE Mathematics Alumni) , ACM (Senior Member) , CSTA , IEEE Computer Society , and Royal Dutch Mathematical Society (KWG) .

• Differential Geometry
• Lorentzian Geometry
• Conformal Geometry
• +۴ مورد دیگر

Associate Professor Thomas Leistner holds a position in Pure Mathematics at the University of Adelaide, within the School of Computer and Mathematical Sciences under the Faculty of Sciences, Engineering and Technology. He earned his PhD from Humboldt-University Berlin, followed by postdoctoral roles at Berlin and Adelaide before becoming an Assistant Professor at the University of Hamburg. His research focuses on differential geometry, particularly Lorentzian and conformal geometries, holonomy groups, and their applications in mathematical physics, general relativity, and string theory. His work explores curved spaces and spacetimes, their geometric properties, symmetries, and connections to differential equations. Notable areas include conformal transformations, holonomy classifications, and geometric structures like Walker metrics and Cahen-Wallach spaces. Recent publications emphasize Lorentzian homogeneous spaces, conformal Killing tensors, and completeness properties of compact manifolds. Leistner is eligible to supervise Masters and PhD students in Pure Mathematics, specializing in geometry and related fields. Though no specific grants or awards are listed, his research maintains an active focus on foundational geometric problems with interdisciplinary relevance.

Silvia Rondonمشاهده پروفایل

استاد

• Integrated Pest Management
• Insect-Plant Interactions
• Biological Control
• +۲ مورد دیگر

Silvia Rondon is a Professor and Director of the Integrated Pest Management Center at Oregon State University (OSU), affiliated with the College of Agriculture and Department of Crop & Soil Science. She moved to OSU's Corvallis campus in September 2022 after extensive work in eastern Oregon. Education: PhD in Crop Sciences (2002), MS in Entomology (1999), BA in Biology/Zoology (1993) from Universidad Nacional Agraria La Molina (Peru) and University of Illinois. Research Focus: Ecological-based Integrated Pest Management for irrigated crops (potatoes, onions, corn, wheat) emphasizing insect ecology, biological/chemical control, and pest population dynamics. Her publications span potato psyllid management, zebra chip disease, wireworm genomics, and landscape-driven pest movement. Key awards include the Erasmus Teaching Award, Pacific Branch ESA Excellence in Extension, and multiple NACAA/OSU honors. She leads extension programs through on-farm demonstrations and train-the-trainer workshops, while mentoring graduate students in IPM research.

Roman Matuszewskiمشاهده پروفایل

دانشیار

• Automated Reasoning
• Formalized Mathematics
• Computer Science
• +۳ مورد دیگر

Roman Matuszewski is a retired Associate Professor at the University of Bialystok, affiliated with the Faculty of Philology's Department of Applied Linguistics. His research focuses on automated reasoning, formalized mathematics, and the Mizar Project, which he has been involved with since its inception in 1973. He holds a PhD in Computer Science from Shinshu University (2000) and has held academic positions at multiple institutions, including part-time roles at Bogdan Janski University. Education: PhD in Computer Science (2000), Master of Science in Mechanics (1975), Engineer (1973), all from Polish institutions. His work emphasizes formal proof systems, mathematical knowledge management, and education integration of automated reasoning tools. Research interests include automated deduction, formal proof verification, and the application of these methods to mathematics education. His contributions to the Mizar Mathematical Library and its 50-year history (celebrated in 2023) are foundational for interactive theorem proving. Key awards include the Silver Cross of Merit (2004) and multiple Rector’s prizes. He has organized major conferences like MKM2004 and served on program committees for events such as IJCAR and Tableaux. Grants include leadership roles in EU-funded projects like TYPES and CALCULEMUS. His work bridges computer science and mathematics through formalized systems, impacting both research and education.

• Gene Editing
• CRISPR Technology
• Genetic Engineering
• +۵ مورد دیگر

Scot Wolfe is a Professor at UMass Chan Medical School, affiliated with the Department of Molecular, Cell and Cancer Biology. He holds multiple academic roles across institutions including T.H. Chan School of Medicine and Morningside Graduate School of Biomedical Sciences. His research focuses on engineering CRISPR-Cas9 systems for gene therapy, targeting diseases like sickle cell anemia and muscular dystrophy. Wolfe's work emphasizes precision genome editing, delivery systems, and applications in hematopoietic stem cell therapy. Collaborations include projects on HIV latency, zebrafish genomics, and Neurofibromin gene therapy. His lab (wolfe-lab.org) innovates tools like Cas9-ZFP fusions and delivery methods for clinical applications. Education: B.S. from Caltech (1990), Ph.D. from Harvard (1996). Postdoc at MIT. Research spans protein-DNA recognition, zinc finger engineering, and transcription factor specificity. Over 150+ publications focus on gene editing mechanisms and therapeutic applications. Active in the NIH Somatic Cell Genome Editing program. Key projects include enhancing CRISPR specificity, ex vivo editing of HSPCs, and combating genetic disorders via base editing and prime editing. His team develops therapies for beta-hemoglobinopathies, limb-girdle muscular dystrophy, and Hermansky-Pudlak Syndrome. Ongoing work explores HIV cure strategies through proviral inactivation.

Lars Aagaardمشاهده پروفایل

دانشیار

• Gene therapy
• RNA interference
• Viral vectors
• +۱۱ مورد دیگر

Lars Aagaard is an Associate Professor at the Department of Biomedicine - Research and Education, Aarhus University, Denmark. He is based at the Bartholin Building in Aarhus C and is actively engaged in research and teaching in the fields of gene therapy, RNA interference, and genome editing. His work focuses on developing viral vectors, particularly AAV and lentiviral vectors, for ocular gene therapy targeting retinal diseases such as age-related macular degeneration and diabetic retinopathy. His research interests include the development of Dicer-independent RNAi systems, combinatorial gene therapy using microRNA and CRISPR/Cas9, and the delivery of RNA- and protein-based therapeutics. He also teaches Genetics and Personalized Medicine and supervises postdoctoral researchers, PhD, master's, and undergraduate students. The recent publications (2022–2024) reflect a strong trend in RNAi therapeutics, viral vector engineering, and translational applications in ocular and systemic diseases. Themes include gene silencing, immune modulation, and regenerative approaches using engineered cells. Aagaard actively contributes to the scientific community as a reviewer for journals such as Nature and Molecular Therapy . He has participated in key international conferences including ARVO, ASGCT, and ESGCT, demonstrating ongoing engagement with the global gene therapy community. Supervision of postdocs, PhD, master’s, and undergraduate students Active participation in international conferences and workshops Collaborative research across institutions, including Universidade Federal de Sao Paulo He is involved in both basic and translational research, with potential for clinical applications in gene and cell therapy.

Ruihui Liمشاهده پروفایل

استاد

• Deep Geometry Learning
• Generative modeling
• 3D Vision
• +۳ مورد دیگر

Ruihui Li - Academic Summary Professional Overview Prof. Ruihui Li is a faculty member at the College of Computer Science and Electronic Engineering, Hunan University , specializing in Deep Geometry Learning , Generative Modeling , and 3D Vision . His work focuses on advancing 3D reconstruction and generation with high controllability, particularly in applications like point cloud upsampling and neural rendering. Education & Career Dr. Li earned his Ph.D. in 2021 (oral defense passed in June 2021). His career includes significant contributions to research in geometric deep learning and 3D computer graphics. He actively collaborates with institutions like the Chinese University of Hong Kong and Tel Aviv University on projects such as PU-GAN and SP-GAN . Research Interests His research spans cutting-edge topics in: Neural Wavelet-Domain Diffusion for 3D Shape Generation Topology-Aware 3D Mesh Reconstruction Camera-Based 3D Scene Completion Point Cloud Analysis and Upsampling Professional Activities Dr. Li has delivered invited talks at prestigious events such as the Asia Graphics Webinar and Peking University . He serves as a reviewer for top conferences (CVPR, ICCV, ECCV) and journals (TPAMI, TVCG). His research is supported by grants from the National Natural Science Foundation of China and the Chinese Academy of Sciences. Technical Contributions Key projects include: PU-GAN : A point cloud upsampling adversarial network (ICCV 2019). SP-GAN : Sphere-guided 3D shape generation (SIGGRAPH 2021). Neural Wavelet-domain Diffusion : 3D shape generation and manipulation (TOG 2024). Labs & Teams He leads a research group at Hunan University, mentoring Ph.D./MPhil students, RAs, and postdocs. His team focuses on interdisciplinary projects combining AI, computer graphics, and geometric deep learning.

Mathieu Mercadierمشاهده پروفایل

استادیار

• Business Analytics
• Machine Learning
• Statistics
• +۴ مورد دیگر

Dr. Mathieu Mercadier is an Assistant Professor of Business Analytics at Dublin City University Business School, Ireland. He serves as Programme Chair for the MSc and Graduate Diploma in Business Analytics. His research focuses on Business Analytics, Machine Learning, Financial Risk Management, and Sustainable Finance. Education: PhD in Economics from Université de Limoges, France, specializing in Machine Learning applied to Banking and Finance. He has ten years of industry experience as a Market Finance Consultant. Research interests include applying Machine Learning to banking risk, sustainable finance, and quantitative finance. His work spans statistical modeling for financial stability, algorithmic risk assessment, and ESG fund evaluation. Key trends in his articles involve quantum-enhanced machine learning for stock forecasting, systemic risk measurement, and pandemic impact analysis. No scientific awards listed. Advising and grants: No formal grants or student advisees mentioned. Active in curriculum development for business analytics programs. Engaged in international conferences and seminars. Labs/Teams: Not explicitly stated in provided data.