جست‌وجوی استاد و پژوهشگر

Kesong Yangمشاهده پروفایل

استاد

• Computational Materials Science
• First-Principles Calculations
• Materials Modeling
• +۵ مورد دیگر

Prof. Kesong Yang is a Professor in the Department of Chemical and Nano Engineering at the University of California San Diego. He holds a PhD in Atomic and Molecular Physics from Shandong University (2010) and completed postdoctoral research at Duke University (2010-2013). His research focuses on computational materials science, particularly first-principles modeling of nanomaterials for advanced applications in energy, electronics, and catalysis. Key research areas include materials design using high-throughput computational methods, magnetic heterostructure engineering, and interface effects in perovskite oxides. His work emphasizes understanding electronic, magnetic, and optical properties of materials for functional nanomaterials development. Notable projects involve optimizing TiO₂-based photocatalysts, designing 2D electron gas systems, and developing novel Heusler alloy interfaces for spintronics. Developed open-source tools like GBMaker and Aimsgb for grain boundary modeling Advances in polar/nonpolar oxide heterostructures for 2D electronics Computational design of hybrid halide perovskites for optoelectronics His research group has produced over 150 peer-reviewed publications and trained numerous PhD students now leading academic and industrial careers. Current initiatives include AI-driven materials discovery and nanomaterials for sustainable energy systems.

Jennifer Logueمشاهده پروفایل

استاد

• Obesity Treatment
• Metabolic Medicine
• Clinical Trials
• +۳ مورد دیگر

Professor Jennifer Logue is an Honorary Professor in Metabolic Medicine at Lancaster University's Lancaster Medical School and Senior Medical Director for Early Clinical Development (Cardiovascular, Renal & Metabolism) at AstraZeneca. Her academic research focuses on obesity-related metabolic diseases, with a particular emphasis on interdisciplinary interventions and pragmatic clinical trials using health record data. She previously served as Associate Dean for Research at Lancaster University and Deputy Clinical Director of the NIHR North West Coast Clinical Research Network. Prof. Logue holds a MD from the University of Glasgow's Department of Surgery and a Chief Scientist Office/NHS Education Scotland Clinician Scientist Intermediate Fellowship (2011). She is a Fellow of the Royal College of Pathologists (Chemical Pathology) and completed her CCT in Chemical Pathology and Metabolic Medicine in 2012. Her career includes leadership roles in the Academy of Medical Sciences FLIER programme and memberships in over 20 national/international committees, including the Scottish Intercollegiate Guideline Network and World Obesity Federation. Her research priorities include addressing health inequalities through cross-sector collaborations, evaluating weight management programs, and advancing clinical guidelines for bariatric surgery. Notable projects include the SCOTS cohort study, LENS retinopathy trial, and the NIHR-funded BE:COME network meta-analysis. She has also led NHS-industry partnerships like the Small Talk Big Difference initiative. Prof. Logue is a vocal advocate for obesity care access, appearing frequently in media discussions on diet, cardiovascular health, and type 2 diabetes. She actively mentors PhD students interested in obesity intervention research and routine healthcare data utilization.

Philip Harrisonمشاهده پروفایل

پژوهشگر

• Machine Learning
• Pharmaceutical Science
• Biodiversity Analysis
• +۳ مورد دیگر

Philip Harrison is a Visiting Researcher at the Department of Pharmaceutical Biosciences, Uppsala University. He holds a PhD in marine biology (2006, focusing on grey seal population dynamics) and is pursuing a second PhD in pharmaceutical science, developing machine learning methods for microscopy image analysis within the HASTE project. His research spans biodiversity modeling, computational biology, and pharmaceutical applications of AI. Education : PhD in Marine Biology, 2006 (Topic: Population Dynamics of Grey Seals) Current PhD Candidate in Pharmaceutical Science (Focus: Machine Learning in Microscopy Analysis) Research Interests : Harrison’s work bridges ecology and computational bioscience. Early research modeled wildlife populations and biodiversity trends. Current projects leverage deep learning for drug discovery, cellular imaging analysis, and lipid nanoparticle drug delivery. He collaborates on the HASTE project, advancing AI-driven scientific pipelines. Publications : Recent work includes peer-reviewed articles on mechanism-of-action prediction via image data fusion, Boolean protein interaction methods, and deep learning in cytometry. His publications emphasize interdisciplinary approaches, combining AI with pharmaceutical and ecological challenges. Advising/Grants : No formal student advising or grant details provided in sources. His research is embedded in collaborative projects like HASTE, focusing on cloud-native data pipelines and AI applications. Labs/Teams : Part of the Pharmaceutical Bioinformatics group at Uppsala, contributing to cross-disciplinary teams in computational bioscience and drug discovery.

Rampi Ramprasadمشاهده پروفایل

استاد

• Materials Informatics
• Polymer Design
• Machine Learning
• +۳ مورد دیگر

Rampi Ramprasad is Professor and Michael E. Tennenbaum Family Chair at Georgia Tech, holding joint appointments as Georgia Research Alliance Eminent Scholar in Energy Sustainability. His research develops machine learning methods for accelerated materials discovery. Education: B.Tech. in Metallurgical Engineering, Indian Institute of Technology Madras M.S. in Materials Science & Engineering, Washington State University Ph.D. in Materials Science & Engineering, University of Illinois Urbana-Champaign Research Leadership: Leads multi-institution projects including ONR MURI programs on polymeric dielectrics. Research areas: Machine learning for polymer, metal, and dielectric design High-performance materials for energy storage applications Computational frameworks for predicting material properties Data-driven discovery of sustainable materials Recognition: Fellow of multiple scientific societies including American Physical Society and recipient of Max Planck Society Fellowship. Current research demonstrates strong focus on AI-augmented materials design, particularly for energy storage polymers and recyclable materials.

• Scientific Visualization
• Medical Visualization
• Computer Graphics
• +۴ مورد دیگر

Eduard Gröller is a Professor at the Department of Informatics, University of Bergen. His research focuses on scientific visualization, medical visualization, and computer graphics, with emphasis on volume rendering, interactive systems, and visualization of complex data such as seismic volumes and protein dynamics. He has contributed to tools like VolumeShop and ViSlang, and his work spans medical imaging, climate data analysis, and bioinformatics. He has supervised PhD students including Daniel Patel and Johannes Kehrer. His recent articles address challenges in medical visualization, protein-protein interactions, and interactive navigation systems.

Antonio Planchartمشاهده پروفایل

دانشیار

• Developmental Biology
• Toxicology
• Genetics
• +۶ مورد دیگر

Antonio Planchart is an Associate Professor in the Department of Biological Sciences at NC State University, affiliated with the College of Sciences. His research focuses on the genetic and environmental influences on development and human disease etiology, particularly using zebrafish as a model system. He leads the Planchart Lab, which integrates genomic, informatic, and molecular techniques to study developmental processes and environmental toxin impacts. Key affiliations include the Center for Environmental and Health Effects of PFAS (an NIEHS-funded Superfund Center) and the Center for Human Health and the Environment (CHHE). He also contributes to initiatives like the Southern Liver Health Study (STRIVE) and the Genetics and Genomics Academy (GGA). His work spans toxicology, developmental biology, and epigenetics, with a focus on PFAS exposure, toxic metals, and imprint control regions in diseases like Alzheimer’s and ALS. Research trends in his publications emphasize environmental toxin exposure effects (e.g., PFAS, cadmium, BMAA), liver disease mechanisms, and epigenetic regulation in disease. His articles bridge basic science and public health, often leveraging zebrafish models to uncover molecular mechanisms. Notable grants include NIEHS funding for Superfund research and CHHE infrastructure support. He advises students through NC State’s Biological Sciences programs and collaborates across multidisciplinary teams. The Planchart Lab actively develops tools like the CTD tetramers database and the first infinium DNA methylation array for the human imprintome, advancing both basic and applied research in toxicology and genetics.

Sergey Dolgovمشاهده پروفایل

دانشیار

• Numerical Analysis
• Tensor Decomposition
• High-Dimensional Dynamics
• +۲ مورد دیگر

Sergey Dolgov is an Associate Professor in the Department of Mathematical Sciences at the University of Bath. His research focuses on developing tensor decomposition methods for high-dimensional problems in numerical analysis, stochastic modeling, and quantum computing. Dr. Dolgov leads projects funded by the EPSRC including work on tensor methods for dynamic programming and Bayesian inverse problems. He is affiliated with the Centre for Mathematics and Algorithms for Data (MAD) and co-organizes workshops on computational mathematics for quantum technologies. His research interests center on tensor networks, high-dimensional optimization, rare event simulation, and quantum algorithm design. Recent work applies tensor train decompositions to problems in epidemiology, fluid dynamics, and material science, significantly reducing computational complexity. Dolgov's publications demonstrate consistent focus on tensor-based numerical methods for solving partial differential equations, epidemic modeling, and quantum computing applications. Key trends include the development of efficient algorithms for high-dimensional data and uncertainty quantification. He leads the Tensor Computation Research Group and collaborates internationally on projects involving quantum-inspired numerical methods. Current work explores tensor networks for solving Navier-Stokes equations and optimizing neural network architectures.

Alex Smirnovمشاهده پروفایل

استاد

• Magnetic Resonance
• Analytical Chemistry
• Nanotechnology
• +۷ مورد دیگر

Alex Smirnov is the Governor Robert W. Scott Distinguished Professor of Chemistry at North Carolina State University, affiliated with the Department of Chemistry within the College of Sciences. His research merges magnetic resonance and analytical methods with nanostructure fabrication and molecular probe synthesis to study membrane proteins and develop biomedical applications. He holds a Ph.D. from the Moscow Physical Technical Institute and the Institute of Chemical Physics of the Soviet Academy of Sciences (1990). Key research interests include electron paramagnetic resonance (EPR) spectroscopy, nanoscale tribology, and biomaterials engineering. His work explores novel nanoparticle-based lubricants, lipid bilayer dynamics, and light-mediated friction control. He has developed pH-sensitive EPR probes and nanoantioxidants for retinal protection against phototoxicity. Publications highlight innovations in DNP/EPR instrumentation, chlamydia vaccine design, and lignin antioxidant characterization. Awards include his distinguished professorship. His lab focuses on spectroscopic instrumentation, nanotribology, and biomolecular interfaces, with applications in biomedicine and environmental science. Scientific achievements include pioneering studies on paramagnetic defects in diamonds, tribotronic control of nanoparticle interfaces, and exposome data federation. His interdisciplinary approach bridges chemistry, physics, and engineering to advance quantum sensing, nanotechnology, and precision medicine.

Masahiko Taniguchiمشاهده پروفایل

عضو هیئت علمی

• Photochemistry
• Synthetic Chemistry
• Spectral Analysis
• +۳ مورد دیگر

Masahiko Taniguchi is an Associate Research Professor in the Department of Chemistry at North Carolina State University, located in Raleigh, NC. He is affiliated with the College of Sciences and contributes to the university's research initiatives in photochemistry and tetrapyrrole chemistry. Education: Dr. Taniguchi holds a Ph.D. in Engineering from Kyushu University (2000) and a B.S. in Pharmacy Science from the University of Tokyo (1995). Research Interests: His work focuses on synthetic tetrapyrrole pigments (porphyrins, chlorins, bacteriochlorins), their spectral properties, and applications in energy transfer, biomedical imaging, and artificial photosynthesis. He pioneers methods for spectral data acquisition using AI tools like chatbots and develops databases for chemical characterization. His studies explore prebiotic synthesis pathways of natural pigments and their modular design for photonic and catalytic systems. Publications: Dr. Taniguchi has published widely in journals like Photochemistry and Photobiology , Journal of Porphyrins and Phthalocyanines , and Dyes and Pigments , emphasizing spectral analysis, synthetic methodologies, and computational modeling. Awards: No awards explicitly mentioned in the provided texts. Advising & Grants: While no students are listed, his research group likely engages in collaborative projects given his extensive publication record. Funding sources are not detailed in the text. Labs & Teams: Based in Dabney Hall, he contributes to interdisciplinary efforts in synthetic chemistry and bio-inspired materials, leveraging NCSU's facilities for molecular design and spectral analysis.

Wei Wen Wongمشاهده پروفایل

پژوهشگر ارشد

• Environmental Science
• Biogeochemistry
• Sediment Dynamics
• +۴ مورد دیگر

Dr Wei Wen Wong is a Research Fellow at the School of Chemistry, Monash University, specializing in environmental biogeochemistry and microbial ecology. His work focuses on understanding nutrient cycling, greenhouse gas emissions, and microbial processes in coastal and aquatic ecosystems. He leads and contributes to several research projects funded by national and institutional grants, including studies on stormwater contaminants, permeable sediment dynamics, and antimicrobial resistance genes in environmental sediments. His research aligns with UN Sustainable Development Goals related to clean water and climate action. Key projects include investigating chemical contaminants in stormwater, coastal permeable sediments as greenhouse gas sources, and developing permeable reactive barriers using drift algae. He collaborates with institutions like DEECA and international researchers to address environmental challenges. Wei Wen’s research outputs span 27 peer-reviewed articles and preprints, emphasizing topics like nitrous oxide production, microbial metabolic adaptations, and nitrogen isotopic tracing. He actively supervises PhD students and engages in interdisciplinary projects to advance sustainable environmental solutions.

Anselm Wongمشاهده پروفایل

پژوهشگر ارشد

• Paracetamol Poisoning Management
• Toxicology Research
• Drug Trials
• +۴ مورد دیگر

Anselm Wong is a Senior Research Fellow in Emergency Medicine and Toxicology at Monash University's School of Clinical Sciences at Monash Health and a Clinical Professor at the University of Melbourne. His research focuses on paracetamol poisoning management, risk prediction, and global toxicology education. He leads initiatives like the Global Educational Toxicology Uniting Project (GETUP), collaborating with WHO and Public Health England to establish poison information centers in Ethiopia. Education: MBBS, DipTox, PhD from Monash University. He has successfully secured grants from NHMRC and the Australasian College for Emergency Medicine, earning awards such as the Mollie Holman Medal (2018) and the American College of Medical Toxicology's Outstanding Contribution Award (2022). Research Interests: Paracetamol overdose treatment optimization, novel biomarkers, drug trials, and global toxicology education. His work aligns with UN Sustainable Development Goals, particularly addressing health equity through poison management in low-resource settings. Key Projects: The NACSTOP trial (early cessation of NAC in paracetamol overdose), EXTRIP collaboration (extracorporeal poison treatment guidelines), and GETUP (global toxicology education network). Awards: Over 17 prizes, including grants and clinical excellence recognitions. Active in mentoring PhD, masters, and honors students in medical and scientific fields.

• Cancer Biology
• Neurobiology
• Molecular Pharmacology
• +۲ مورد دیگر

Dr. Krishna Yalla serves as a Research Associate at the Translational Pharmacology Laboratory within the Wolfson Wohl Cancer Research Centre at the University of Glasgow, focusing on molecular mechanisms bridging cancer biology and neurobiology. His work integrates pharmacological approaches to study signaling pathways in disease contexts. His research spans two primary domains: cancer biology (particularly Trib2-mediated acute myeloid leukemia mechanisms involving drug resistance, leukemia-initiating cells, and Bcl2 regulation) and neurobiology (centering on DISC1 protein stability via ubiquitin-proteasome system and SUMOylation in neural development). This dual focus reveals connections between oncogenic pathways and neurodevelopmental disorders, with translational implications for targeted therapies in both fields. Analysis of his 2010-2022 publications shows an evolution from cardiovascular/cAMP signaling research toward specialized cancer and neurodevelopmental studies. Recent work emphasizes Trib2 in leukemia pathogenesis and DISC1-related neural mechanisms, highlighting protein degradation systems, cell cycle regulation, and stress response pathways. Key trends include molecular pharmacology applications for drug repurposing (e.g., moexipril as PDE4 inhibitor) and clinical translation (CDC7 inhibitor trials). Based at the Wolfson Wohl Cancer Research Centre's Translational Pharmacology Laboratory, Dr. Yalla collaborates with Dr. Karen Keeshan's group on leukemia projects and neurobiology teams on DISC1 studies. The lab employs molecular, cellular, and computational techniques to investigate signaling pathways, with infrastructure supporting translational cancer research from basic science to clinical applications.

• Health Computing
• Intelligent Systems
• Chemical Sciences
• +۳ مورد دیگر

Fernando Ernesto Ortega Ojeda is an Assistant Professor at the Computer Science Department of the University of Alcalá. He is affiliated with two research groups: HCIS (Health Computing and Intelligent Systems) and CINQUIFOR (Research in Chemical and Forensic Sciences). His work bridges computer science, artificial intelligence, and applied chemistry/forensics. Research interests include health informatics, machine learning applications in healthcare, intelligent system design, analytical chemistry methodologies, and forensic science techniques. His interdisciplinary approach combines computational methods with practical applications in health and criminal justice domains. No specific publications, awards, or grants are detailed in the provided information. He contributes to academic activities through these research groups but further details on collaborative projects or advisory roles are unavailable. Labs/teams: Active member of HCIS and CINQUIFOR groups, focusing on computational health solutions and forensic chemical analysis.

Diane Joseph-McCarthyمشاهده پروفایل

عضو هیئت علمی

• Chemical Biology
• Biophysics
• Computational Science
• +۱ مورد دیگر

Diane Joseph-McCarthy is the Executive Director of the Bioengineering Technology & Entrepreneurship Center and a Professor of the Practice in Biomedical Engineering at Boston University. She holds affiliations with the Departments of Chemistry and Materials Science & Engineering. Her research focuses on computational approaches for protein-ligand interactions, drug discovery, and infectious disease modeling. Notable contributions include work on SARS-CoV-2 inhibitors, antibiotic potentiation strategies, and computational tools like E-FTMap for pharmacophore identification. Education: PhD in Physical Chemistry, MIT B.A. in Chemistry with Computer Science minor, Boston University Research Interests: Her work integrates chemical biology, biophysics, and computational science to address challenges in drug discovery. Key areas include: Fragment-based drug design Antiviral and antibacterial therapies Protein-protein interaction inhibitors Computational modeling of ligand binding sites Publications & Awards: Over 150 publications span topics like SARS-CoV-2 evolution, antibiotic synergy, and machine learning in drug discovery. She is a 2023 Fellow of the American Institute for Medical and Biological Engineering and a 2016 Distinguished Alumni Speaker for BU Chemistry. Labs/Teams: Leads the Joseph-McCarthy Group focused on computational drug design and molecular modeling. Collaborates with interdisciplinary teams across engineering, chemistry, and public health.

Sanja Rapajicمشاهده پروفایل

دانشیار

• Numerical Mathematics
• Nonlinear Complementarity Problems
• Operations Research
• +۳ مورد دیگر

Dr. Sanja Rapajic is an Associate Professor at the University of Novi Sad's Faculty of Sciences, Department of Mathematics and Informatics. Her academic journey includes a B.Sc. (1994), M.Sc. (1999), and Ph.D. (2005) from the same institution. She has been an Associate Professor since 2010, following roles as Assistant Professor (2006–2010) and Assistant (2000–2006). Her research focuses on numerical mathematics, particularly nonlinear complementarity problems and systems of nonlinear equations. She teaches courses in financial mathematics, operations research, and numerical methods across disciplines like physics and chemistry. Her research interests emphasize numerical methods for solving complex mathematical systems, including Jacobian smoothing techniques and inexact Newton methods. She has contributed to conferences such as the European Women in Mathematics and the GAMM Annual Conference, and has organized multiple applied mathematics conferences. She co-authored books on Mathematica for scientists and business mathematics. Active in professional societies like JUPIM and EWM, her work bridges theoretical mathematics with practical applications in environmental and industrial engineering. Publications span optimization algorithms, nonlinear systems, and environmental science, reflecting her interdisciplinary approach. Despite no listed awards, her extensive contributions to numerical methods and academic service highlight her expertise and dedication to advancing mathematical research and education.