جست‌وجوی استاد و پژوهشگر

• Materials Science in Dentistry
• Aesthetic Dentistry
• Conservative Dentistry
• +۴ مورد دیگر

Ana Cristina da Natividade Tavares Mano Azul is an Associate Professor at the Instituto Universitário Egas Moniz (IUEM), where she has held academic roles for over 34 years. She is also a Visiting Professor at the University of Coimbra's Post-Graduate program in Operative Dentistry and Aesthetics. Her primary affiliations include IUEM, where she coordinates the Integrated Master's degree in Dentistry and oversees the Post-Graduate program in International Clinical Endodontics. She serves on multiple academic committees, including the Scientific Council of IUEM and the Crediting Commission of the Dentistry Master's program. Education: Completed pre-school through secondary education at Lycée Français Charles Lepierre, then earned a Dentistry degree from the University of Lisbon's Faculty of Dental Medicine and a European PhD in Dentistry from the Universitat de València. Research: Focuses on dental materials science and aesthetic dentistry, affiliated with the Centro de Investigação Interdisciplinar Egas Moniz (CiiEM). Participated in FCT-funded research projects on dental restoration and adhesive materials. Professional Roles: Served as President of the Portuguese Dental Association's Fiscal Council and currently chairs the Portuguese Society of Stomatology and Dental Medicine's General Assembly. Maintains a private practice as Clinical Director at Clínica Integrada de Medicina Oral. Her research emphasizes biomaterials, dental adhesion, and restorative techniques. Over 100 peer-reviewed articles and conference presentations reflect her contributions to materials science and clinical dentistry. She has co-authored educational resources and clinical guidelines, furthering advancements in conservative and aesthetic dental practices.

Peter Gieslمشاهده پروفایل

استاد

• Dynamical Systems
• Ordinary Differential Equations
• Numerical Analysis
• +۴ مورد دیگر

Prof. Peter Giesl is a Professor of Mathematics and Head of the Department of Mathematics at the University of Sussex, part of the School of Mathematical and Physical Sciences. He holds a PhD from the Technical University Munich (2000) and has held academic positions there and at the University of Augsburg before joining Sussex in 2007. His research focuses on Dynamical Systems, including analytical and numerical methods for stability analysis, Lyapunov functions, and contraction metrics. He has collaborated with institutions such as the University of Iceland and the University of Bayreuth, and has organized international conferences like SciCADE 2022. Recognized as a Senior Fellow of the Higher Education Academy, his teaching includes Linear Algebra courses for first-year students. Notable contributions include EPSRC-funded projects on Lyapunov functions and contraction metrics, with publications in journals like Journal of Computational Dynamics and Discrete and Continuous Dynamical Systems . Current PhD advisees include Norah Alsaiari and Jennifer Ward. Research interests emphasize numerical methods for constructing Lyapunov functions using radial basis functions and meshless collocation, with applications to autonomous and non-autonomous systems. Recent work addresses contraction metrics for stochastic, time-periodic, and non-smooth systems, leveraging linear programming and optimization techniques. His grants include EPSRC support for solving matrix-valued differential inequalities (2023–2027) and Icelandic funding for contraction metric computations (2022–2025). Prof. Giesl is also a guest editor for Journal of Computational Dynamics and has held editorial roles in Complexity and Discrete and Continuous Dynamical Systems .

• Operations Research
• Mathematical Optimization
• Game Theory
• +۳ مورد دیگر

Werner Schachinger is an Associate Professor in the Department of Statistics and Operations Research at the Faculty of Business, Economics and Statistics. His research focuses on optimization theory, mathematical analysis, and game theory, with particular emphasis on completely positive matrices, quadratic optimization, and evolutionary dynamics. He has authored over 18 publications since 2007, exploring topics such as CP-rank bounds, combinatorial asymptotics, and algorithmic methods in optimization. Education background not explicitly stated but inferred through research focus and academic rank. His research interests span operations research, mathematical optimization, probability theory, and combinatorics. Notable contributions include studies on the complexity of optimization models, equilibrium analysis in game theory, and the application of copositive programming techniques. Publications highlight trends in optimization theory, with recent works addressing geometric distribution analysis (2023) and Plancherel averages (2023). Earlier contributions include work on moral play equilibrate (2021) and cp-rank lower bounds (2015–2020). No scientific awards explicitly mentioned in the texts. Advising and grants details are not provided in the text. However, activities include organizing the 2018 Workshop on Optimization, Game Theory, and Data Analysis, and contributing to talks on copositive optimization and duality in conic programming. Labs or research teams are not explicitly mentioned, though collaborations with researchers like Immanuel Bomze and Jörgen Weibull suggest active participation in interdisciplinary projects.

Wei Zhangمشاهده پروفایل

استاد

• Food Safety
• Food Microbiology
• Microbial Genomics
• +۳ مورد دیگر

Professor Wei Zhang is a Full Professor of Food Science and the Associate Director of the Center for Process Innovation at the Institute for Food Safety and Health (IFSH), a partnership between Illinois Tech, the FDA, and the food industry. He holds a Ph.D. from Penn State University and completed postdoctoral training at the CDC. His research focuses on microbial food safety, bacterial genomics, and pathogen mechanisms in food supply chains, utilizing advanced bioinformatics and genomic tools. Dr. Zhang leads a research team investigating foodborne pathogens like Listeria, Salmonella, and E. coli, and has secured over $5 million in USDA and FDA grants. He serves on editorial boards of journals including Applied and Environmental Microbiology and Food Microbiology , and is a member of the American Society for Microbiology (ASM) and other professional organizations. Education: Ph.D., Food Science, Pennsylvania State University M.S., Huazhong Agricultural University B.S., Huazhong Agricultural University Research interests include molecular detection of foodborne bacteria, genotyping, stress response mechanisms, and pathogen virulence. His work aims to understand genetic and physiological bases for bacterial survival in food environments and human transmission. Key achievements include developing genomic approaches for pathogen identification and contributing to food safety standards through collaborative industry-research initiatives. Publications highlight advancements in bacterial genomics, foodborne outbreak analyses, and antimicrobial resistance. Awards include the Penn State CAS Outstanding Recent Alumni Award and CDC Charles C. Shepard Science Award nomination. Dr. Zhang teaches courses in food microbiology, biotechnology, and functional genomics, bridging academic research with practical applications in food safety. Grants and advisory roles include leadership in USDA-funded projects and participation in national/international panels such as NASA and EU Transnational Funding initiatives. His lab’s work emphasizes translational research to improve food safety protocols and reduce contamination risks in global supply chains. Labs/Teams: Active research team at the IFSH focusing on bacterial pathogenesis and food safety, collaborating with industry and regulatory agencies like the FDA and USDA.

Brian Kweeمشاهده پروفایل

استادیار

• Cell & Tissue Engineering
• Drug Delivery & Nanomedicine
• Immunoengineering
• +۳ مورد دیگر

Brian Kwee is an Assistant Professor at the University of Delaware, affiliated with the Ammon Pinizzotto Biopharmaceutical Innovation Center. His research focuses on cell and tissue engineering, immunoengineering, and drug delivery systems. He earned a Ph.D. in Bioengineering from Harvard University (2018) and a B.S. in Chemical and Biomolecular Engineering from Cornell University (2012), after completing a postdoctoral fellowship at the FDA (2018-2022). Dr. Kwee’s work emphasizes enhancing tissue regeneration therapies by modulating immune responses and improving cell manufacturing processes. His lab develops biomaterials to recruit immune cells (e.g., macrophages, T-cells) for pro-regenerative environments and uses fluorescence-activated cell sorting (FACS) to identify optimal cell subpopulations for therapies. Key areas include skeletal muscle repair, vascularized tissue engineering, and immunoengineering for cell-based therapies. His research trends span biomaterial design, cell manufacturing optimization, and immune-tissue interactions. Notable publications explore functional heterogeneity of mesenchymal stromal cells, engineered microenvironments for cell therapies, and T-cell recruitment for ischemic diseases. Despite no explicitly listed awards, his work aligns with cutting-edge biomedical engineering advancements. Advising and grants details are not specified in the provided texts. His lab website highlights ongoing projects in microphysiological systems and biomaterial-based therapies.

Michael Wigalمشاهده پروفایل

پژوهشگر

• Algorithms
• Combinatorics
• Optimization
• +۳ مورد دیگر

Michael Wigal is a Postdoctoral Research Associate in the Department of Mathematics at the University of Illinois Urbana-Champaign (UIUC), mentored by József Balogh. His research focuses on algorithms, combinatorics, and optimization, with particular interests in graph theory, combinatorial optimization, and discrete mathematics. He completed his Ph.D. under the guidance of Xingxing Yu. His research spans structural graph theory, approximation algorithms, and combinatorial enumeration, with contributions to topics like Tutte cycles, TSP approximations, and submodular optimization. His work often bridges theoretical and applied aspects of discrete mathematics, addressing fundamental problems in graph algorithms and combinatorial structures. Michael’s publications reflect a strong emphasis on graph theory and algorithmic approaches, with recent contributions to journal articles such as Journal of Combinatorial Theory , SIAM Journal of Discrete Math , and Mathematical Programming . His research trends highlight a focus on advancing combinatorial methods for solving complex optimization problems and analyzing graph structures. No scientific awards or major grants are explicitly mentioned in the provided text. His teaching experience includes courses such as Linear Programming (Fall 2024) and Basic Discrete Mathematics (Fall 2023).

Anisa Shakerمشاهده پروفایل

دانشیار

• Esophageal Disorders
• Gastroesophageal Reflux Disease
• Eosinophilic Esophagitis
• +۲ مورد دیگر

Dr. Anisa Shaker is Associate Professor of Medicine and Director of the Swallowing and Esophageal Disorders Center at the University of Southern California's Keck School of Medicine, Division of Gastrointestinal and Liver Diseases. A physician-scientist with clinical expertise in GERD, eosinophilic esophagitis, and swallowing disorders, her NIH-funded research program investigates mechanisms of esophageal injury, repair, and inflammation. She earned her MD from Medical College of Wisconsin, completed residency at Brown University, and gastroenterology fellowship at Washington University. Her research publications demonstrate consistent focus on esophageal pathophysiology, particularly examining myofibroblast-epithelial interactions in GERD and eosinophilic esophagitis using innovative in vitro models. Recent work explores alcohol's carcinogenic effects, fibroblast subpopulations in inflammation, and clinical aspects of swallowing disorders. Honors include the Pasadena 'Top Doc' award (2014-2019), AGA Women's Leadership Conference participation (2015), and AAMC Early Career Faculty Development award (2011). She leads multiple NIH grants including an R01 on esophageal myofibroblasts in GERD and has developed immortalized human esophageal cell lines.

Stephanie Caroline ten Brinckمشاهده پروفایل

استاد مهمان

• Materials Science
• Nanotechnology
• Chemistry
• +۵ مورد دیگر

Dr. Stephanie Caroline ten Brinck is a Visiting Professor at the Vrije Universiteit Amsterdam's Faculty of Science, Department of Chemistry and Pharmaceutical Sciences. She holds an additional Visiting Fellow position at AIMMS. Her research focuses on nanocrystalline materials, perovskite nanocrystals, and their applications in optoelectronics. Her work bridges computational chemistry with experimental materials science, addressing topics like interstellar ice chemistry, defect engineering, and nanomaterial design. Education: Completed a PhD in 2020 with a thesis titled A Computational Approach to Understanding Lead Halide Perovskite Nanocrystals . Research interests span nanomaterials synthesis, quantum dot properties, and the interplay between structure and function in energy-related materials. Her studies often utilize computational methods (e.g., density functional theory) to explain experimental observations. Recent work includes investigations into CdSe/CdS nanoplatelets and PAH behavior in interstellar ices. Collaborations include projects on photoluminescence mechanisms and surface passivation strategies for nanocrystals. Her research has been cited in 9 patents and referenced in 2 Wikipedia pages, demonstrating significant academic and industrial impact.

Sacha Howellمشاهده پروفایل

مدرس ارشد

• Breast Cancer Research
• Endocrine Therapy
• Cancer Stem Cells
• +۳ مورد دیگر

Sacha Howell is a Senior Clinical Lecturer in Breast Oncology at the University of Manchester's Division of Cancer Sciences. Affiliated with The Christie and Manchester University NHS Foundation Trusts, their work focuses on endocrine therapy mechanisms, breast cancer prevention, and translational research in cancer stem cells. Howell holds a PhD from the University of Manchester and completed medical training at the University of Nottingham. They lead breast cancer risk prediction services and manage patients across all cancer stages. Education: B. Med. Sci., BM BS, MSc Oncology, PhD Oncology, FRCP Roles: Honorary Consultant in Medical Oncology, Clinical Masterclass Module Leader (MRes Oncology) Research Interests: Mechanisms of endocrine therapy resistance, breast cancer prevention via serial biopsies, and mammographic density's role in cellular transformation. Howell collaborates with experts like Prof Robert Clarke and Dr Sue Astley on AI-driven research and tissue composition studies. Publications: Over 156 outputs, including studies on circadian rhythms in cancer stem cells and estrogen receptor signaling. Recent work explores weight gain prevention apps for high-risk women. Awards: 2023 Outstanding Contribution to Society through Research. Grants/Projects: Leads the NIHR Manchester BRC Cancer Prevention Theme and a £5M study on targeted breast cancer prevention strategies. Labs/Teams: Manchester Breast Centre, collaborating on proteomics and matrix-epithelial interaction research.

Mohamed Bouaouinaمشاهده پروفایل

عضو هیئت علمی

• Cell Biology
• Molecular Biology
• Integrin Biology
• +۴ مورد دیگر

Mohamed Bouaouina is an Associate Teaching Professor in the Department of Biological Sciences at Carnegie Mellon University's Mellon College of Science (CMU-Q branch in Qatar). His academic focus centers on cellular and molecular mechanisms of integrin activation, fibroblast function, and developmental angiogenesis. He holds a Ph.D. in Biology from Pierre and Marie Curie University and completed a postdoctoral appointment at Yale School of Medicine. Research interests include studying talin, kindlin, and dynamin proteins' roles in integrin-mediated adhesion, cell signaling pathways in tissue repair, and the molecular basis of angiogenesis. His work combines structural biology, biochemical assays, and genetic models to elucidate how integrin activation regulates cell adhesion, migration, and extracellular matrix interactions. Published articles span topics like thrombospondin-2's role in tissue repair, talin's role in adhesion complex stability, and dynamin-2's regulation of developmental angiogenesis. These studies highlight his expertise in mechanobiology and cell-matrix interactions. No scientific awards or grants are explicitly listed in the provided materials, though his extensive publication record indicates active research contributions. Advising and mentorship activities are not detailed in the current text.

Yuling Yanمشاهده پروفایل

استادیار

• Statistics
• Machine Learning
• Optimization
• +۷ مورد دیگر

Yuling Yan is an Assistant Professor in the Department of Statistics at the University of Wisconsin-Madison (since August 2024), affiliated with the School of Computer, Data & Information Sciences. She holds a Ph.D. from Princeton University (2023) and a B.S. from Peking University (2018). Her research focuses on statistics, optimization, and data science applications to AI, social sciences, and reinforcement learning. Notable contributions include advancements in generative models, low-rank inference, and peer review mechanisms. She has been awarded the IMS Lawrence D. Brown Award (2024) and the Norbert Wiener Postdoctoral Fellowship (2023). Educational Background: Bachelor of Science in Mathematics, Peking University (2014–2018) Ph.D. in Operations Research & Financial Engineering, Princeton University (2018–2023) Research Interests: Yuling’s work bridges statistical theory and machine learning applications, with emphasis on generative AI, causal inference, and algorithmic fairness. Key areas include: Learning in probability measure spaces for generative models Uncertainty quantification in low-rank models Optimization strategies in reinforcement learning Peer review mechanisms in machine learning conferences Teaching: She teaches STAT 615: Statistical Learning at UW-Madison, focusing on theoretical foundations of prediction and decision-making models, including classification, regression, and unsupervised learning. Her courses emphasize mathematical rigor using tools like concentration inequalities and Hilbert spaces. Labs/Teams: Her research group explores interdisciplinary projects in generative AI, causal inference, and reinforcement learning, often collaborating with institutions like MIT and Berkeley.

Matteo Santinمشاهده پروفایل

استاد

• Regenerative Medicine
• Biomaterials
• Tissue Engineering
• +۷ مورد دیگر

Professor Matteo Santin serves as Professor of Tissue Regeneration at the University of Brighton's School of Applied Sciences. He directs the Centre for Regenerative Medicine and Devices and acts as Academic Lead for Healthy Futures, one of the university's five cross-cutting research themes. With over 25 years of experience in biomaterials and tissue engineering, Santin has established himself as a leading figure in regenerative medicine research. His educational background includes dual PhDs in Biomaterials and Biomedical Sciences. Santin began his research career at the University of Naples (1987-1990), followed by work at the Institute of Protein Biochemistry and Enzymology in Naples, Italy. He completed his first PhD in Biomaterials Science at the University of Brighton (1994-1996) under an EC fellowship, then earned a second PhD in Biomaterials at the University of Turin, Italy. Professor Santin's research focuses on developing natural and synthetic biomimetic materials for tissue regeneration, including soybean-based biomaterials and hyperbranched polymers. His work spans bone and cartilage regeneration, cardiovascular devices, and controlling angiogenesis for various applications. He has pioneered in vitro models for biomaterial testing and stem cell spheroid formation, with significant contributions to wound healing technologies and diagnostic platforms. His recent publications reveal a strong focus on wound dressing technologies, particularly examining exudate absorption mechanisms, biomimetic hydrogels for disc regeneration, and personalized wound care solutions. His research increasingly integrates fluid dynamics with biomaterial design while expanding into space medicine applications through parabolic flight studies on limb perfusion. Jean Leary Award from the European Society for Biomaterials (2005) President of the European Society for Biomaterials (2013-2017) Emeritus Editor of the Journal of Materials Science: Materials in Medicine Member of UK All Party Parliamentary Group for Longevity scientific advisory committee (since 2019) Professor Santin has supervised numerous undergraduate and postgraduate students from diverse backgrounds including biology, biomedical science, engineering, and clinical disciplines. He has secured substantial funding through multiple projects including EPSRC, MRC, and Horizon 2020 grants, with recent funding exceeding £500,000 for his startup companies Brighton Wound Care Ltd and Tissue Click Ltd. His research portfolio includes eight active and completed projects focusing on tissue regeneration, wound healing diagnostics, and medical device innovation. As leader of the Centre for Regenerative Medicine and Devices, Santin oversees a multidisciplinary team of over 30 staff members across University of Brighton campuses, along with numerous early-career researchers and postgraduate students. He has established the Healthy Futures Entrepreneurs' Network, connecting over 60 healthcare organizations in the Greater Brighton area, recognized by the Greater Brighton Economic Board and Brighton and Hove City Council.

• Algebra
• Commutative Algebra
• Homological Algebra
• +۳ مورد دیگر

David A Jorgensen is a Professor of Mathematics at the University of Texas at Arlington. His academic career includes extensive research in algebra, homological algebra, and commutative algebra. He holds a PhD from the University of Nebraska-Lincoln (1996) and has been a member of the American Mathematical Society since 1990. Education PhD in Mathematics, University of Nebraska-Lincoln, 1996 MS in Mathematics, University of Nebraska-Lincoln, 1991 BS in Mathematics, San Diego State University, 1989 Research Interests Dr. Jorgensen focuses on homological properties of modules over local rings, vanishing theorems, complete intersections, Gorenstein rings, and triangulated categories. His work bridges commutative algebra with representation theory and category theory, emphasizing structural and categorical approaches to algebraic problems. Grants & Awards Recipient of the Excellence in Doctoral Student Mentoring Award (UT Arlington, 2015) Principal Investigator/Co-PI on multiple NSF and DoE-funded grants, including GAANN Fellowships and initiatives promoting doctoral mentorship Organizer of the Southwest Local Algebra Meetings (2011–2026), fostering regional collaboration Advising & Service He has advised numerous PhD, master's, and undergraduate students, overseeing over 30 advisees. His service includes roles as Associate Chair of the Department of Mathematics and membership in the Graduate Assembly. Labs/Teams Core contributor to the Algebra and Representation Theory group at UTA, leading research on homological algebra and categorical structures.

Hongkuan Fanمشاهده پروفایل

استاد

• Vascular Dysfunction in Sepsis
• Neurovascular Function in Alzheimer's Disease
• Long Noncoding RNAs (lncRNA) in Neurodegenerative Disorders
• +۳ مورد دیگر

Hongkuan Fan is a Professor in the Department of Pathology and Laboratory Medicine at the Medical University of South Carolina (MUSC). His research focuses on vascular dysfunction in sepsis and neurovascular mechanisms in Alzheimer's disease, with particular emphasis on pericyte biology and long noncoding RNA regulation. He holds a PhD from Jilin University, China, and completed postdoctoral training at New Mexico Tech and MUSC. Education: PhD, Jilin University, China, 2001 Postdoctoral Training: New Mexico Tech, USA, 2001-2002 Postdoctoral Training: Medical University of South Carolina, USA, 2002-2006 Research Interests: Role of pericytes in sepsis-induced vascular dysfunction and multi-organ failure Neurovascular unit dysfunction in Alzheimer's disease progression Mechanisms of lncRNA Neat1/Hbb axis in age-related cognitive decline Development of novel treatments targeting endothelial barrier integrity Funding: R35 GM149203-01: Pericyte Role in Sepsis Vascular Dysfunction 1R01AG081807-01: Brain Hypoperfusion in Alzheimer's Development Article Trends: Recent work emphasizes extracellular vesicle roles in sepsis outcomes, miRNA regulation of pericyte function, and neurodegenerative disease mechanisms involving lncRNAs. Key contributions include identifying Fli-1 transcription factor pathways and exosome-based therapeutic strategies.

Christina Durónمشاهده پروفایل

استادیار

• Network Theory
• Mathematical Biology
• Computational Mathematics
• +۳ مورد دیگر

Dr. Christina Durón is an Assistant Professor of Mathematics at Pepperdine University's Seaver College. She holds a PhD in Mathematics from Claremont Graduate University (2019) and completed a postdoctoral research associate position in the Department of Mathematics at the University of Arizona (2019–2022). Her research focuses on network theory and analysis, developing computational and statistical methods to model complex relational data, with applications in epidemiology, biology, and educational modules. She is passionate about innovative teaching strategies to engage students in mathematics both inside and outside the classroom. Education: PhD in Mathematics, Claremont Graduate University, 2019 Research Interests: Network dynamics, mathematical biology, computational modeling of complex systems, and educational approaches to mathematics. Her work bridges theoretical mathematics with practical applications in fields like epidemiology and cancer research. Publications: Her research spans network centrality measures, epidemic modeling on networks, and computational methods in linear algebra and statistics. Recent work includes developing the Heatmap Centrality metric for identifying super-spreader nodes in networks and exploring tumor-specific networks in glioma. Teaching: Teaches courses such as Calculus 1, Linear Algebra, and Mathematical Probability, emphasizing hands-on computational tools and student engagement.