جست‌وجوی استاد و پژوهشگر

Roger Herbertمشاهده پروفایل

مدرس ارشد

• Hydrology
• Hydrogeology
• Biogeochemistry
• +۹ مورد دیگر

Roger Herbert is a Senior Lecturer in Hydrology and Associate Professor in Biogeochemistry at the Department of Earth Sciences, Uppsala University, where he also serves as Director of the Civil Engineering program in Environmental and Water Engineering. His research is centered on biogeochemical processes in water-saturated systems, particularly focusing on denitrification in bioreactors, groundwater remediation, and contaminant transport in double porosity media. His research interests include: Denitrification in woodchip and biochar bioreactors Groundwater and mine drainage treatment Reactive transport modeling in porous media Arsenic speciation and uptake in plants Silica nanoparticle interactions in soil-plant-water systems Microbial controls on nitrogen cycling and greenhouse gas emissions His recent publications (2023–2025) demonstrate a strong focus on innovative bioremediation technologies for wastewater and mine drainage, particularly using biochar and woodchip systems. These works emphasize modeling, microbial ecology, and field-scale applications, showing a consistent trend toward sustainable and scalable solutions for water quality challenges in cold climates and industrial settings. Roger Herbert leads the EIT RawMaterials project NITREM, which aims to upscale bioreactor technology for the mining and quarrying industry. He has supervised or collaborated on numerous studies related to mine waste treatment and environmental impact mitigation. He is actively involved in collaborative research projects and has published extensively in high-impact journals such as Water Research , Journal of Environmental Quality , and Environmental Science & Technology . His work bridges experimental studies, field applications, and numerical modeling, contributing significantly to environmental engineering and hydrogeology.

Heiner Rindermannمشاهده پروفایل

استاد

• Educational Psychology
• Developmental Psychology
• Cognitive Competence
• +۵ مورد دیگر

Prof. Dr. Heiner Rindermann is a Professor of Educational and Developmental Psychology at Chemnitz University of Technology (TUC). Affiliated with TUC's Institute of Psychology under the Behavioural and Social Sciences school, his work bridges educational practices and cognitive development. Academic Timeline: 1988-1993 Heidelberg RA, 1994-1999 LMU Munich RA, 1999-2007 Otto-von-Guericke-University Magdeburg RA, 2001 University of Graz visiting professor, 2003-2004 University of Kassel interim, 2004-2006 Saarland University interim, 2006-2007 Paderborn University interim, 2008-2010 University of Graz Professor, 2010-present TUC Professor. Educational Background: 1972-1985 Baden-Württemberg schools, 1986-1995 University of Heidelberg (PhD 1995), 2005 Landau habilitation. Research Interests focus on cognitive competence development , cross-cultural comparisons , intelligence-societal development links , kindergarten quality assessments , and international comparative studies . His work examines psychometric vs. Piagetian frameworks, emotional competence, and educational program evaluation. Academic Contributions include the William-Stern-Preis (2007) , APS Fellowship (2010) , and Mexican National Award of Giftedness (2016) . He serves on editorial boards for journals like Zeitschrift für Pädagogische Psychologie and Intelligence , and reviews for over 40 journals and institutions. Projects include BMBF-funded SoKonBe (external educational consultation using socio-cognitive conflicts) and international collaborations like the Study of Latin American Intelligence with Earl Hunt and Jelte Wicherts. His publications span books including Cognitive Capitalism (Cambridge University Press, 2018) and chapters in encyclopedias.

Stephen W. Hoagمشاهده پروفایل

استاد

• Tablet Formulation
• Process Development
• Capsule Filling
• +۲۸ مورد دیگر

Stephen W. Hoag is a Professor in the Department of Pharmaceutical Sciences at the University of Maryland School of Pharmacy. His research spans pharmaceutical formulation, process development, and analytical technologies, with a strong emphasis on solid oral dosage forms and controlled release systems. University: University of Maryland School: School of Pharmacy Department: Department of Pharmaceutical Sciences Email: shoag@umaryland.edu Phone: (410) 706-6865 Fax: (410) 706-0346 Address: 20 North Pine Street, Baltimore, MD 21201 Education: B.S. in Biochemistry, University of Wisconsin–Madison, 1982 Ph.D. in Pharmaceutics, University of Minnesota, Twin Cities, 1990 Dr. Hoag's research is centered on two primary areas: (1) the development of systematic methods for formulating immediate and controlled release tablets, utilizing instrumented tablet presses, shear cell analysis, and process analytical technology (PAT) such as Near-Infrared (NIR) and Raman spectroscopy; and (2) the application of mathematical models to understand mass transport in hydrogels, including calcium alginate and silk-elastinlike protein polymers. His work on folic acid supplementation and prenatal vitamins has important public health implications due to the role of folic acid in preventing neural tube defects. Although no recent publications are listed in the provided text, his research output is evident through his co-editorship of the widely used reference work Pharmaceutical Dosage Forms: Tablets (3rd edition, 2008), and his leadership in developing best practices for PAT in pharmaceutical manufacturing. Scientific Awards: No specific awards mentioned in the provided text. Dr. Hoag has actively mentored a large number of graduate students, postdoctoral fellows, and visiting scientists, contributing significantly to pharmaceutical education and workforce development. His laboratory is equipped with state-of-the-art instrumentation for preformulation, formulation, tableting, coating, dissolution testing, and analytical characterization. The lab supports both non-clinical and GMP-level manufacturing research, enabling translational development of dosage forms. He also leads a hands-on short course on tablets and capsules, further extending his educational impact. Research Facilities: Thermal analysis (DSC, MDSC) Solubility and viscosity measurement Moisture analysis (Karl Fisher, LOD) Mechanical testing (Instron) Flow characterization (shear cell, angle of repose) Particle size analysis (laser diffraction, SEM, sieve) Tablet presses (Stoke’s B2, Manesty Beta, fully instrumented) Coating systems (fluid bed, pan coaters) UV/Vis, HPLC, GC, MS instrumentation Environmental stability chambers Granulation, milling, blending equipment Dissolution testing with autosampler

• Geochemistry
• Climate Science
• Marine Biogeochemical Cycles
• +۵ مورد دیگر

Sonja Geilert, PhD, is an Assistant Professor in Geochemistry at Utrecht University's Department of Earth Sciences. Her research focuses on silicate weathering processes, stable isotope geochemistry, and their roles in the Earth's silica-carbon cycle interactions across geological timescales. Institution: Utrecht University Affiliation: Faculty of Geosciences / Department of Earth Sciences Academic Rank: Assistant Professor Her work bridges natural marine geochemical cycles with climate mitigation strategies, particularly carbon dioxide removal (CDR) through ocean alkalinity enhancement (OAE). She investigates mineral-water reactions on the seafloor, their impact on ocean chemistry, and potential applications for CO2 sequestration. Key projects include: Coastal environments as mCDR sites (2025-2029) - Project Leader Constraining Hadean ocean geochemistry (2025-2031) - Project Leader REPAIRS (2024-2026) - Researcher Enhanced benthic weathering (2021-2024) - Project Leader Her recent publications (2022-2025) demonstrate expertise in Stable isotope fractionation Marine sediment geochemistry Carbon-climate feedback mechanisms Mineral dissolution kinetics

Tim Rogersمشاهده پروفایل

استاد

• Stochastic Processes
• Random Matrix Theory
• Collective Behavior
• +۴ مورد دیگر

Professor Tim Rogers is affiliated with the University of Bath as a faculty member in the Department of Mathematical Sciences . He is actively involved in research spanning complex systems, network theory, and stochastic processes. PhD in Random Matrix Theory from King's College London (2010) His research focuses on emergent behavior in random systems , including: Collective Behavior : Crowd dynamics, lane formation, and noise-enhanced synchronization Epidemics & Networks : Spread prediction, node risk assessment, and misinformation impacts Ecology & Evolution : Trait emergence, species boundaries, and demographic noise effects Random Matrix Theory : Spectral analysis and applications to complex systems Publication trends reflect interdisciplinary work bridging Physics, Biology, and Mathematics , with a focus on network structures , stochastic modeling , and emergence phenomena . Scientific awards include: 2015 : Editor's Choice for Europhys. Lett. 109, 28005 2016 : Highlight of Journal of Physics A 2017 : Editor's Suggestion for Phys. Rev. E 92, 032708 He has supervised numerous PhD students and postdocs on projects related to stochastic dynamics , network modeling , and mathematical biology , with ongoing grants from agencies like EPSRC and The Leverhulme Trust .

Andrew Murrayمشاهده پروفایل

استاد

• Evolutionary Biology
• Genetics
• Synthetic Biology
• +۹ مورد دیگر

Andrew Murray is a Professor at Harvard University, affiliated with the Rowland Institute and Department of Molecular and Cellular Biology. His research focuses on evolutionary biology, genetics, and synthetic biology using budding yeast as a model organism. Primary Affiliation: Harvard University Lab: Murray Lab Collaboration: with David Nelson (Physics/MBI) Research interests include: Evolution of biological novelty through experimental evolution Cellular mechanisms for environmental adaptation Quantitative analysis of evolutionary trajectories Engineering yeast strains to test biological principles Publications span evolutionary genetics, cell biology, and biophysics with recent work on ABC transporters and yeast colony dynamics. Collaborative clinical publications also exist in cardiology and surgical outcomes. Scientific recognition includes the John Harvard Distinguished Science Fellowship .

• Fluvial Geomorphology
• Sediment Transport
• Gravel-bed Rivers
• +۶ مورد دیگر

Professor Rebecca Hodge is a Professor in the Department of Geography at Durham University, where she has served since 2011 after progressing from Lecturer (2011-2016) to Associate Professor (2016-2022). Her academic foundation includes a PhD in Geography from the University of Cambridge (2007) and prior postdoctoral work at the University of Glasgow (2007-2011). Her educational background: PhD, Geography, University of Cambridge (2007) Professor Hodge's research centers on fluvial geomorphology , specializing in sediment transport mechanics within gravel-bed and bedrock-alluvial river systems. She pioneers the integration of high-resolution measurement techniques —including Terrestrial Laser Scanning, CT scanning, and 3D printing—with advanced numerical modeling (e.g., Cellular Automaton frameworks) to investigate how grain-scale interactions govern reach-scale sediment flux. Her work critically examines sediment cover dynamics, critical shear stress thresholds, and the upscaling of small-scale processes in river morphology. Analysis of her 15 most recent publications (2019-2025) reveals a dominant focus on quantifying river bed roughness , sediment cover dynamics , and innovative measurement methodologies . Key trends include the application of 3D point cloud analysis for critical shear stress estimation, acoustic monitoring of river systems, and network-scale modeling of alluvial processes across diverse environments from Antarctic ice shelves to U.S. bedrock rivers. Her significant recognition includes: Gordon Warwick Medal from the British Society for Geomorphology (2022) for excellence in geomorphological research within 15 years of her doctorate Professor Hodge actively mentors PhD candidates including Holly Wytiahlowsky, Jiao Chen, and Mel Oliveira Guirro, with research spanning Antarctic glacial channels, bedrock-alluvial transitions, and gravel-bed river mechanics. Her collaborative projects involve institutions across the UK, USA, and Brazil, addressing fundamental questions in sediment transport and river response to environmental change. Her laboratory work emphasizes experimental flume studies and field deployments of cutting-edge sensors, directly informing theoretical models of river evolution and sediment dynamics.

• Autism Genetics
• Genetic Architecture
• Copy Number Variants
• +۵ مورد دیگر

Lauren Weiss, PhD is a Professor of Psychiatry at the University of California, San Francisco (UCSF) School of Medicine and a faculty member at the UCSF Weill Institute for Neurosciences. Her research focuses on understanding the genetic architecture of autism spectrum disorder through genome-wide genetic data analysis and human induced pluripotent stem cell (iPSC) models. Dr. Weiss's laboratory investigates the genetic mechanisms by which DNA variants influence autism risk, examining questions about copy number vs. SNP variation, rare vs. common variation, gene-sex interaction, gene-gene interaction, and gene-environment interaction. Her team uses rich genetic datasets to identify susceptibility loci and the physiological pathways these risk loci implicate. Additionally, they employ iPSC models to study known mutations or copy number variants predisposing to autism, first identifying the effects of genetic risk variants and then determining whether these effects can be modified at the cellular level by environmental or pharmacological agents. Analysis of Dr. Weiss's recent publications reveals a strong focus on sex differences in autism genetics, the role of specific copy number variants (particularly 16p11.2 and 22q11.2), maternal environmental factors during pregnancy, and the integration of multi-omics data to understand neurodevelopmental pathways. Her work bridges basic genetic research with potential clinical applications for improving understanding, prevention, diagnosis, and treatment of autism and related traits. Dr. Weiss has secured significant research funding as Principal Investigator on multiple NIH grants, including R01MH114924 (Decoding the Genetics of Sexual Dimorphism in Autism Spectrum Disorders), R01MH107467 (Utilizing eQTL networks to gain biological insight into multigenic CNVs), and DP2OD007449 (Dissecting Epistasis and Pleiotropy in Autism towards Personalized Medicine). Her laboratory offers research opportunities for students interested in analytical genetics projects related to gene-environment effects, gene-sex effects, gene-gene effects, and the relationship between ASD and brain size. Dr. Weiss actively collaborates with numerous researchers across institutions, particularly on large-scale genomic studies of autism and other neurodevelopmental disorders. Her work has contributed significantly to our understanding of the complex genetic architecture underlying autism spectrum disorder and related conditions.

Samuel Herrmannمشاهده پروفایل

استاد

• Stochastic Processes
• Probability Theory
• Applied Mathematics
• +۴ مورد دیگر

Samuel Herrmann is a Professor of Applied Mathematics at the University of Burgundy, France. He is a member of the Statistics, Probability, Optimization and Control team and an external member of the TOSCA project team at INRIA. His research focuses on stochastic processes, particularly asymptotic analysis of non-linear stochastic processes, large deviations, and stochastic resonance phenomena, with applications in climatology, biology, and financial modeling. Education: PhD in Mathematics (2001) - University of Burgundy Habilitation (2009) - Asymptotic analysis related to stochastic processes Research Interests: Stochastic differential equations and their numerical simulation Large deviation phenomena in stochastic processes Self-stabilizing diffusions and stochastic resonance First-passage and exit time problems for diffusions Applications in climatology, biology, and finance Scientific Contributions: Professor Herrmann has published extensively on stochastic processes, with over 50 peer-reviewed articles and a monograph on stochastic resonance. His work includes exact simulation methods for diffusion processes, studies on self-stabilizing systems, and theoretical contributions to large deviations theory. He has collaborated with leading researchers such as Peter Imkeller and David Peithmann. Awards and Recognition: Contributed to the encyclopedia of mathematical physics Co-authored the book "Stochastic Resonance: A Mathematical Approach in the Small Noise Limit" (2014) Teaching and Supervision: He teaches courses on stochastic processes and their simulation at both undergraduate and master's levels, including the Master in Turin program. He has supervised numerous PhD and master's students in stochastic processes and related fields.

Stuart C. Althorpeمشاهده پروفایل

استاد

• Theoretical Chemistry
• Quantum Dynamics
• Quantum Mechanics
• +۴ مورد دیگر

Professor Stuart C. Althorpe is a Professor of Theoretical Chemistry at the Department of Chemistry, University of Cambridge, where he leads the Althorpe Research Group. His work focuses on quantum dynamics and the application of quantum mechanics to chemical reactions, particularly examining how quantum effects influence atomic and molecular motion in systems ranging from isolated reactions to liquid water and ice. Professor Althorpe's research interests center on quantum dynamics , with specific focus on quantum tunneling , conical intersections , and path-integral methods . His group develops computational techniques that bridge quantum statistics and classical dynamics, creating methods like Matsubara dynamics to model quantum effects in complex systems. Key research areas include visualizing complete wave functions of chemical reactions, calculating tunneling splittings in water clusters, and investigating quantum interference effects at electronic degeneracies. The group employs both pen-and-paper theoretical derivations and high-performance computational algorithms for parallel CPUs and GPUs to tackle these challenging problems. The trends in Professor Althorpe's recent publications (2018-2024) reveal an evolution from foundational quantum dynamics methods toward increasingly sophisticated applications in complex, dissipative environments. His work consistently bridges computational chemistry and quantum physics, with growing emphasis on connections between quantum dynamics, chaos theory, and quantum information concepts. The publications demonstrate methodological innovation in path-integral approaches, particularly in handling quantum effects in condensed-phase systems like water and ice, while maintaining strong connections to experimental observations. Professor Althorpe has mentored over two dozen PhD students and postdoctoral researchers who have secured positions at leading institutions including ETH Zürich, UCL, EPFL, and various industry roles. His research group maintains active international collaborations, most notably with Professor D.J. Wales at Cambridge (on water clusters) and Professor Richard N. Zare at Stanford University, where theoretical calculations interpret detailed experimental measurements of reaction dynamics. The Althorpe Group operates within the Department of Chemistry at the University of Cambridge as part of the Theoretical Research Interest Group. The group's work contributes significantly to understanding quantum mechanical phenomena in chemical processes, with implications for fields ranging from atmospheric chemistry to biochemistry. Professor Althorpe organized the 2019 Faraday Discussion on "Quantum effects in complex systems," demonstrating his leadership in advancing theoretical frameworks for quantum phenomena in chemistry.

Darrell Rossمشاهده پروفایل

استاد

• Forest entomology
• Ecology and management of forest insect pests
• Bark beetle ecology
• +۷ مورد دیگر

Darrell Ross is a Professor in Entomology at the School of Natural Resource Sciences , North Dakota State University . Previously, he held professorial roles at Oregon State University in the Department of Forest Ecosystems and Society and served as Director of the Richardson Hall Quarantine Facility from 2006–2019. His academic journey began with a PhD in Entomology from the University of Georgia (1990), an MS in Forest Ecology from Oregon State University (1985), and a BS in Forest Science from Pennsylvania State University (1981). PhD , Entomology, University of Georgia, 1990 MS , Forest Ecology, Oregon State University, 1985 BS , Forest Science, Pennsylvania State University, 1981 Dr. Ross specializes in forest entomology, focusing on bark beetle ecology, pheromone-based management strategies, and biological control of invasive species like the hemlock woolly adelgid. His work integrates chemical ecology with forest health assessment and ecological restoration. His research emphasizes pheromone applications (e.g., MCH) for bark beetle control, predator-prey dynamics in biological control of adelgids, and habitat manipulation for pest management. Recent studies address biodegradable pheromone formulations, predator phenology for invasive species control, and post-outbreak ecological impacts on pollinators. At Oregon State University, he directed the Richardson Hall Quarantine Facility, contributing to large-scale forest protection strategies. Current work at NDSU continues his legacy in integrating chemical signaling with forest ecosystem management.

Matthew K. Tamمشاهده پروفایل

دانشیار

• continuous optimisation and its applications
• monotone operator theory
• variational and convex analysis
• +۳ مورد دیگر

Matthew K. Tam is an Associate Professor at the School of Mathematics and Statistics, The University of Melbourne, specializing in Operations Research. He is also an investigator at the Melbourne Centre for Data Science and an associate investigator in the ARC Training Centre OPTIMA. PhD in Mathematics (2016) from University of Newcastle under Jonathan Borwein Postdoctoral research at University of Göttingen with RTG-2088 and Alexander von Humboldt Foundation Junior Professor at University of Göttingen (2017-2020) His research focuses on continuous optimization, monotone operator theory, and variational analysis, with applications in wavelet construction and inverse problems. Key trends include distributed algorithms, resolvent splitting, and convergence analysis for feasibility problems. Discovery Early Career Researcher Award (DECRA) Alexander von Humboldt Fellowship He collaborates with institutions like ANZIAM, Springer, and IEEE, with publications spanning mathematical optimization, harmonic analysis, and computational mathematics. His work emphasizes algorithmic design for complex data systems and real-world applications in imaging and industrial modeling.

Liu Yeمشاهده پروفایل

استاد

• Sustainable Environmental Engineering
• Greenhouse Gas Mitigation
• Biological Wastewater Treatment
• +۵ مورد دیگر

Liu Ye is a Professor at The University of Queensland (UQ) within the School of Chemical Engineering. She leads the Greenhouse Gas (GHG) research program at UQ Urban Water Engineering and has secured over AU$10M in competitive research funding. Her work focuses on achieving net-zero emissions through innovations in urban wastewater systems, with collaborations spanning 15+ water utilities, governments, and technology firms like Suez and Veolia. Research Areas: Greenhouse gas mitigation, sludge minimization, biogas production, advanced biological nutrient removal, online process control, and resource recovery from wastes. Key Awards: Research Innovation Award (Australia Water Association), UQ Foundation Research Excellence Award, EAIT Faculty Teaching Excellence Award, and Fellow of the Royal Society of Chemistry (RSC). Teaching: Courses include CHEE2020 (Process Equipment and Control), CHEE2501 (Environmental Systems Engineering I), CHEE4012 (Industrial Wastewater Management), and thesis supervision. Leadership: Associate Editor for Environmental Science: Water Research and Technology , member of IWA Strategic Council, and contributor to industry peak bodies like WSAA and WaterRA. Recent Articles: Her 2025 publications highlight strategies for balancing energy recovery with GHG emissions, systematic frameworks for N2O quantification, and advancements in phosphorus removal. Earlier works (2024–2022) explore electrochemical iron applications, ferric salt enhancements, and hybrid modeling techniques combining mechanistic and deep learning approaches. Scientific Impact: Her research has driven a 35% reduction in N2O emissions at an Adelaide treatment plant, saving $50M annually, and pioneered free nitrous acid (FNA) technology for biofilm control and sludge reduction.

• Clinical Oncology
• Cardiovascular Toxicity
• Radiotherapy
• +۳ مورد دیگر

Dr David Cutter is a Clinical Research Fellow at the University of Oxford's Clinical Trial Service Unit (CTSU) and a Consultant Clinical Oncologist at the Oxford Cancer Centre . His career spans clinical practice and academic research, focusing on the late effects of cancer treatments. Education: Medicine at the University of Cambridge (1994-2000) DPhil: Late cardiovascular effects of cancer treatments (CTSU, 2008) Current Role: Investigating benefits and risks of cancer therapies since 2013 His research bridges Oncology , Cardiovascular Toxicity , and Radiation Therapy , with significant contributions to understanding cardiotoxicity in lymphoma survivors. Recent publications include studies on Proton Beam Therapy , Bleomycin Pulmonary Toxicity , and Cardiovascular Disease Incidence in cancer patients. Key trends in his work include: Cardiovascular Risk Assessment in cancer survivors Proton Therapy Optimization for lymphoma Geographic Health Inequity in clinical trial access His 15 most recent publications (2022-2025) cover topics such as radiation dose prediction models, second cancer risks, and guideline development for classical Hodgkin lymphoma management. The work frequently involves multidisciplinary collaborations, including with the European Society of Cardiology and British Society for Haematology.

Gregory F. Lawlerمشاهده پروفایل

استاد

• Probability Theory
• Random Walks
• Schramm-Loewner Evolution
• +۳ مورد دیگر

Gregory F. Lawler is the George Wells Beadle Distinguished Service Professor in the Department of Mathematics at the University of Chicago. He also maintains appointments in the Department of Statistics and has affiliations with Computational and Applied Mathematics and Financial Mathematics programs. His academic background includes: B.A. (1976) from the University of Virginia Ph.D. (1979) from Princeton University under Edward Nelson Professor Lawler is a leading researcher in probability theory with a focus on conformally invariant processes , particularly the Schramm-Loewner Evolution (SLE) and various forms of random walks. His work bridges pure mathematics and statistical physics, establishing rigorous connections between discrete models and their continuous scaling limits. He has made fundamental contributions to understanding loop-erased random walks, Brownian motion, and the geometric properties of random curves, with applications in statistical mechanics for understanding two-dimensional critical phenomena. Analysis of his recent publications reveals a sustained focus on the mathematical foundations of SLE, with particular attention to natural parametrization, loop measures, convergence questions, and the relationship between discrete models and their continuous limits. His work consistently combines complex analysis with probabilistic methods to establish rigorous results about random curves. Professor Lawler is actively involved in mentoring through the University of Chicago's REU program and has developed extensive educational materials for students at all levels. His notes on probability theory and stochastic calculus are widely used resources within the mathematics community. He has authored several influential books including "Random Walk and the Heat Equation," "Conformally Invariant Processes in the Plane," and "Random Walk: A Modern Introduction" (with Vlada Limic), which have become standard references in probability theory.