جست‌وجوی استاد و پژوهشگر

Christopher Lockhartمشاهده پروفایل

عضو هیئت علمی

• Molecular Dynamics
• Bioinformatics
• Computational Biology
• +۳ مورد دیگر

Christopher Lockhart is a Research Assistant Professor at the School of Systems Biology, George Mason University. His work focuses on computational methods for studying biomolecules, particularly Alzheimer's-related Aβ peptides and their interactions with lipid bilayers. Education: PhD in Bioinformatics & Computational Biology (George Mason University, 2015), BS in Biological Sciences and Psychology (Virginia Tech, 2010). Research Interests include molecular dynamics simulations, amyloid-beta peptides, bioinformatics, proteomics, and computational modeling of protein-membrane interactions. Publications highlight studies on force fields for Aβ binding, methionine oxidation effects, and anionic lipid bilayer interactions. His work has been cited 56 times. Teaching covers courses like Computing for Scientists , Modeling and Simulation I , and Machine Learning for Bioinformatics .

Louis Tayمشاهده پروفایل

استاد

• Well-being
• Subjective well-being
• Psychological well-being
• +۱۰ مورد دیگر

Louis Tay holds the William C. Byham Professorship in Industrial-Organizational Psychology at Purdue University, conducting research at the intersection of psychological well-being and workplace performance. His methodological expertise spans advanced measurement techniques including item response theory and data science applications. His research focuses on: Well-being (subjective and psychological dimensions) Character strengths and vocational interests Measurement methodologies and experience sampling Dr. Tay's publication record demonstrates consistent contributions to understanding how employees' fulfillment outside work enhances job performance. His most recent 2025 article synthesizes evidence showing that workers with meaningful non-work lives exhibit higher energy levels, better moods, and superior job performance—challenging the productivity myths behind excessive work hours. As founder of ExpiWell (www.expiwell.com), he bridges academic research and technological innovation in experience capture. His work appears in premier journals including American Psychologist , Nature Human Behavior , and Journal of Applied Psychology , with media coverage in The Wall Street Journal and Psychology Today . His academic leadership includes co-editing major reference works such as the Handbook of Well-Being and Oxford Handbook of the Positive Humanities , establishing him as a key contributor to positive psychology and organizational science.

Xiaodan Liمشاهده پروفایل

پژوهشگر

• Structural Biology
• Membrane Protein Research
• Crystallography
• +۴ مورد دیگر

Xiaodan Li is a Senior Scientist at the Paul Scherrer Institute (PSI), Switzerland, affiliated with the Laboratory of Biomolecular Research. Her work focuses on structural biology, particularly 2D membrane protein crystallography using advanced techniques like cryo-EM and X-ray free-electron laser (XFEL). She leads a research group studying dynamic conformations of membrane proteins in lipid bilayers and collaborates with academic and industrial partners globally. Key Research Areas: Structural dynamics of membrane proteins, XFEL technology, lipid bilayer interactions, and neurotoxin-receptor complexes. Collaborations: National and international partnerships in academia and industry. Technologies: Serial femtosecond crystallography, 2D/3D crystal diffraction, and microfabricated sample holders. Xiaodan Li’s recent publications highlight her contributions to understanding membrane protein conformations, neurotoxin interactions, and XFEL applications. Her work emphasizes biological relevance by preserving lipid environments and enabling real-time structural studies. Students: Jan Rheinberger (Ph.D. Student) Martin Schärer (Ph.D. Student) Selected Publications: Over 15 articles in journals like Advanced Synthesis and Catalysis , Journal of Biological Chemistry , and Structural Dynamics , focusing on structural biology, neurotoxins, and XFEL methodologies.

• Structural Engineering
• Risk Engineering
• Natural Hazard Analysis
• +۶ مورد دیگر

Professor Luc E Chouinard is a faculty member in the Department of Civil Engineering at McGill University's Faculty of Engineering. He joined the department in June 1992 and currently teaches courses including CIVE 205 (Statics), CIVE 302 (Probabilistic Systems), and CIVE 609 (Risk Engineering). His educational background includes: B.Eng., M.Eng. from Montreal B.C.L. from McGill University Sc.D. from MIT Professor Chouinard is a specialist in structural engineering with diverse research and teaching interests including spatial modeling of environmental data (earthquakes, hurricanes, icebergs), estimation of natural and man-made hazards, reliability analysis of engineering systems, and the inspection, evaluation and modeling of aging infrastructures and optimal allocation of repair and maintenance funds. His work spans multiple areas of risk engineering, with applications to civil infrastructure, environmental hazards, and structural reliability. Analysis of his recent publications reveals a strong focus on structural health monitoring, risk assessment, and infrastructure management. His research demonstrates expertise in applying advanced statistical and probabilistic methods to civil engineering problems, with particular emphasis on earthquake engineering, façade design, concrete structures, and infrastructure resilience. The publications show consistent work in developing analytical methods for structural assessment and risk management under various environmental conditions. Professor Chouinard has been actively involved in various professional activities including: Eastern Regional Technical Committee of CANSEE Member of Engineering Mechanics Committee of CSCE Member of Rehabilitation of Infrastructures Co-Chair of the Subcommittee on Prevention and Life Expectance His current research interests include estimation of ice scouring hazards for offshore oil production facilities, condition indexing systems for rehabilitation of embankment dams, ice forecasting models for navigation in Canadian waters, hurricane hazard analysis in the Gulf of Mexico, and risk analysis of telecommunication networks with respect to atmospheric icing hazards. He previously worked as a research engineer at Chevron Oil Field Research Company and has provided consulting services in seismic hazard analysis, hurricane hazard analysis, design criteria for offshore platforms, sampling strategies, inspection and monitoring of structures, and optimal maintenance strategies.

• Crop Science
• Sustainable Agriculture
• Cover Crops
• +۴ مورد دیگر

Sabine Kurz is a researcher at the Nürtingen-Geislingen University of Applied Sciences (HfWU), affiliated with the Faculty of Agricultural Sciences and Department of Crop Science. Her work focuses on practical agricultural research with emphasis on sustainable farming practices, crop production systems, and soil management techniques. Dr. Kurz's research interests center on sustainable agricultural systems with particular expertise in cover cropping, weed management, soil conservation, and nutrient cycling. Her work bridges theoretical agricultural science with practical field applications, focusing on solutions for both conventional and organic farming systems. She investigates how crop management techniques affect yield, soil health, and environmental sustainability. Analysis of her recent publications reveals a strong focus on cover crops and their multifaceted benefits including weed suppression, soil moisture conservation, and nitrogen management. Her research demonstrates how strategic crop establishment methods and intercropping systems can enhance agricultural productivity while reducing environmental impacts. The consistent theme across her work is developing practical, evidence-based solutions for contemporary agricultural challenges. While specific awards are not documented in the available materials, her research has been published in reputable agricultural journals including Landtechnik, BWagrar, bioland, and The Journal of Agricultural Science, indicating recognition within the agricultural research community. Dr. Kurz frequently collaborates with colleagues at HfWU including J. Hartung, M. Müller-Lindenlauf, and B. Benz, suggesting active participation in research teams focused on applied agricultural science. Her publications indicate involvement in field trials and experimental research conducted at the university's agricultural facilities.

Justin Haldarمشاهده پروفایل

استاد

• Computational Imaging
• Inverse Problems
• Magnetic Resonance Imaging
• +۳ مورد دیگر

Justin Haldar is a Professor in the Ming Hsieh Department of Electrical and Computer Engineering at the University of Southern California (USC), where he serves as Director of the Signal and Image Processing Institute and Co-Director of the Biomedical Imaging Group. He holds a joint appointment in the Department of Biomedical Engineering and maintains affiliations with the Dornsife Cognitive Neuroscience Imaging Center, Brain and Creativity Institute, and Dynamic Imaging Science Center. His research focuses on computational imaging and inverse problems, with particular emphasis on developing novel data acquisition and signal processing methods for magnetic resonance imaging (MRI). Haldar's work addresses critical limitations in MRI technology including long acquisition times, limited signal-to-noise ratio, and high costs, developing approaches that combine physical imaging process modeling, constrained signal models, theoretical frameworks, and fast computational algorithms. Haldar's publication record demonstrates consistent innovation in MRI technology, with research spanning from fundamental reconstruction algorithms to practical clinical applications. His work shows a clear progression from theoretical advances in spatiotemporal imaging to real-world implementations that accelerate MRI exams and enable previously impractical next-generation imaging techniques. The breadth of his research connects electrical engineering principles with biomedical applications, particularly in neuroscience and medical diagnostics. NSF CAREER Award recipient IEEE ISBI Best Paper Award winner IEEE EMBC First-Place Student Paper Award recipient Current Chair of IEEE Signal Processing Society's Technical Committee on Computational Imaging Deputy Editor-in-Chief for IEEE Transactions on Computational Imaging Associate Editor for IEEE Transactions on Medical Imaging Haldar maintains active mentorship and collaboration through his leadership of the Biomedical Imaging Group and Signal and Image Processing Institute. His editorial roles in major imaging journals demonstrate significant influence in the field. He has secured substantial research funding including NSF grants that support his innovative work in computational imaging. Haldar's laboratory focuses on developing next-generation MRI techniques that leverage the 'blessings of dimensionality' while mitigating associated challenges, with particular emphasis on jointly designing data acquisition and reconstruction methods to exploit inherent structure within high-dimensional data.

• Placental Physiology
• Developmental Biology
• In Vivo Imaging
• +۳ مورد دیگر

Victoria HJ Roberts is an Associate Professor in the Division of Developmental and Reproductive Sciences at the Oregon National Primate Research Center (ONPRC), part of Oregon Health & Science University (OHSU). Her research focuses on placental development and function using advanced imaging and experimental techniques to address pregnancy complications. Her academic background includes: B.S. from the University of Reading (1999) Ph.D. from the University of Manchester (2004) Postdoctoral Fellowship at the University of Cincinnati (2008) Dr. Roberts' work centers on placental physiology and developmental biology, employing in vivo imaging (ultrasound, MRI) to assess placental hemodynamics in nonhuman primate models and pregnant women. Her in vitro functional experiments on post-delivery placental tissue reveal regulatory mechanisms and developmental changes in adverse conditions, aiming to improve clinical management of at-risk pregnancies through better understanding of placental insufficiency. Her publication trends demonstrate consistent innovation in placental imaging techniques, with recent work emphasizing MRI and ultrasound applications for predicting adverse outcomes. The research bridges basic developmental biology and clinical obstetrics, utilizing nonhuman primate models as critical translational tools for human pregnancy complications. Dr. Roberts has received significant recognition: SMFM Research Excellence Award (2016, Atlanta) SMFM Research Excellence Award (2017, Las Vegas) AJOG Highly Cited Publication Award (2018) AJOG Highly Cited Publication Award (2019) No specific information about student advising or grant funding was provided in the source material. She leads placental imaging initiatives within the ONPRC's Division of Developmental and Reproductive Sciences and collaborates extensively through OHSU's Placenta Imaging Group and multi-institutional research consortia focused on pregnancy assessment and placental health.

Lee Seong-juمشاهده پروفایل

استاد

• Artificial Intelligence
• Human-Computer Interaction
• Music Technology
• +۲ مورد دیگر

Professor Lee Seong-ju serves in the Department of Electrical and Electronic Engineering at Korea Advanced Institute of Science and Technology (KAIST), where he leads innovative research at the intersection of artificial intelligence and creative processes. His work focuses on developing human-centered AI systems that augment rather than replace human creativity, particularly in musical composition. His research interests span human-AI collaboration frameworks , multimodal input processing for creative applications , and designing AI systems that respect creative workflows . Professor Lee specifically investigates how large language models can be integrated with music data-trained AI to create tools that respond to textual, visual, and audio inspirations while maintaining the creator's initiative in the artistic process. His recent publication on Amuse demonstrates a clear trend toward creator-centered AI design that addresses copyright concerns in generative systems. Rather than producing final content, his approach generates harmonic structures that serve as starting points for human refinement, representing a significant shift from conventional generative AI paradigms. Best Paper Award at ACM CHI Conference (top 1% recognition) Funded by National Research Foundation of Korea (NRF) grant RS-2024-00337007 Professor Lee actively advises doctoral candidates including Yewon Kim and maintains international collaborations with institutions like Carnegie Mellon University. His laboratory focuses on developing practical AI tools for creative professionals, with emphasis on systems that enhance rather than automate the creative process. The Amuse project exemplifies his commitment to building AI that serves as a collaborative partner in artistic creation.

Michael Plevinمشاهده پروفایل

مدرس ارشد

• Biomolecular Recognition
• Protein Engineering
• Liquid-Liquid Phase Separation
• +۳ مورد دیگر

Dr. Michael Plevin is a Senior Lecturer in Molecular Biophysics and Royal Society Industry Fellow at the University of York's Department of Biology. His research focuses on biomolecular recognition mechanisms, protein engineering for industrial applications, and liquid-liquid phase separation. He employs structural biology tools like X-ray crystallography, cryoEM, and NMR spectroscopy. Current collaborations include Eluceda Ltd, Syngenta, and Oxford Nanopore Technologies. Dr. Plevin also explores aromatic interactions in proteins and promotes positive research culture through initiatives like the Enhancing Research Culture working group. His teaching emphasizes biophysical techniques and protein engineering, including modules on biomacromolecule structure determination. He supervises PhD students in protein engineering, molecular recognition, and sequence-structure-function relationships. Dr. Plevin has held grants from UKRI, The Royal Society, and industry partners. His work bridges academic and industrial challenges, with projects on non-antibody scaffolds, DNA helicases, and nanopores. Key research themes include phase separation dynamics in cellular organization, weak transient interactions, and Rubisco's role in algal photosynthesis. He collaborates with experts in algal biology and single-molecule biophysics. His contributions to isotopic labeling methods for NMR have advanced structural studies of large proteins.

Michelle Staudingerمشاهده پروفایل

استادیار مدعو

• Climate Change Ecology
• Conservation Biology
• Marine Biology
• +۳ مورد دیگر

Michelle Staudinger is an Adjunct Assistant Professor in the Department of Environmental Conservation at the University of Massachusetts Amherst and an Ecologist with the U.S. Geological Survey (USGS). She serves as the Science Coordinator for the Department of the Interior’s Northeast Climate Adaptation Science Center, collaborating with regional stakeholders to assess climate impacts on ecosystems and develop adaptive strategies. Her research focuses on climate change effects on biodiversity, coastal ecosystems, and ecosystem services, with emphasis on phenological shifts in marine species and climate-driven ecological changes. Staudinger holds a Ph.D. in Marine Science and Technology/Natural Resources Conservation from UMass Amherst (2010), alongside advanced degrees in Marine and Atmospheric Science (Stony Brook University, 2004) and Marine Biology/Environmental Science (Boston University, 1997). Her expertise spans marine ecology, fisheries management, and conservation biology, with fieldwork in coastal and pelagic ecosystems. Her recent publications highlight interdisciplinary approaches to understanding climate impacts, including studies on fish migration patterns, seabird foraging ecology, and the role of sand lances in marine food webs. She emphasizes translational science, bridging academic research with practical conservation strategies. Her work often involves collaborative networks, such as the Early Career Climate Forum, to enhance climate science communication and policy integration. Staudinger’s research also addresses coastal resilience, integrating ecological and human community planning. She leads efforts to synthesize climate vulnerability assessments and develop actionable management frameworks for natural and cultural resources. Her affiliations include the Gloucester Marine Station, where she explores coastal blue economy challenges and marine ecology in the Gulf of Maine.

Josselin Garnierمشاهده پروفایل

استاد

• Waves in Random Media
• Imaging in Complex Media
• Uncertainty Quantification
• +۶ مورد دیگر

Josselin Garnier is a Professor at Ecole Polytechnique, France, affiliated with the Center for Applied Mathematics. His research focuses on wave propagation in random media, imaging techniques, uncertainty quantification, and inverse problems. He has authored/co-authored multiple influential books including Wave Propagation and Time Reversal in Randomly Layered Media (2007) and Multi-Wave Medical Imaging (2017). His work bridges mathematical theory with applications in optics, seismology, and nuclear engineering. Research interests emphasize stochastic dynamics, nonlinear wave interactions, and Bayesian methods for parameter estimation. He leads a large research group with over 30 PhD students, many working on interdisciplinary projects such as thermalization in optical fibers and seismic fragility analysis. His contributions include developing reduced order modeling approaches for inverse problems and advancing methodologies for uncertainty quantification in nuclear reactor simulations. Key collaborations involve institutions like the French Mathematical Society and the Ciroquo Research & Industry Consortium. His educational contributions include the widely used All-in-one Mathematics textbook series for undergraduate students.

Ric Priceمشاهده پروفایل

استاد

• Malaria Research
• Infectious Diseases
• Clinical Epidemiology
• +۳ مورد دیگر

Professor Ric Price is an infectious disease physician and academic with dual affiliations: as Professor of Global Health at the Menzies School of Health Research and Professor of Tropical Medicine at the University of Oxford’s Centre of Tropical Medicine. He leads translational research focused on multidrug-resistant malaria, particularly Plasmodium falciparum and Plasmodium vivax , integrating clinical studies, epidemiology, and molecular biology. His work emphasizes improving malaria diagnosis, treatment optimization, and radical cure strategies through large-scale clinical trials across multiple endemic countries. Research Interests include: Diagnosis and management of drug-resistant malaria Health economics and policy for tropical diseases Immunology and pathophysiology of malaria infections Molecular and in vitro studies of malaria parasites Optimization of primaquine therapy for vivax malaria Leadership Roles: Chair of Clinical Module, World Wide Antimalarial Resistance Network (WWARN) Chair of Vivax Working Group, Asia-Pacific Malaria Elimination Network (APMEN) Principal Investigator of multi-country clinical trials Advising & Grants: Registered to supervise postgraduate research, though specific grant details are not listed here. His work directly contributes to UN Sustainable Development Goals related to global health and poverty reduction. Labs/Teams: Collaborates internationally through networks in malaria-endemic regions, focusing on clinical and epidemiological studies.

Allyson Bradyمشاهده پروفایل

استادیار

• Microbial Ecology
• Astrobiology
• Biogeochemical Cycling
• +۴ مورد دیگر

Allyson Brady is an Assistant Professor in the Department of Biology at Carleton University, Faculty of Science. Her research focuses on microbial ecology, astrobiology, and environmental biotechnology. She holds degrees from University of Guelph (B.Sc.), Western University (M.A.), and McMaster University (Ph.D.). Brady investigates microbial interactions in extreme environments, using organic biomarkers and isotope analysis to study carbon cycling and biosignature formation. Her work bridges Earth's ecosystems and potential extraterrestrial habitats, with implications for planetary exploration and bioremediation. Key research themes include microbial diversity in subsurface environments, astrobiology sample site selection, and microbial contributions to carbon sequestration. She has conducted fieldwork in Antarctic lakes, oil sands ecosystems, and volcanic terrain analogs for Mars. Her publications emphasize interdisciplinary approaches, combining microbiology, geochemistry, and planetary science. Brady collaborates on NASA's BASALT program, developing strategies for human Mars mission operations and sample collection protocols.

• Agroecosystems
• Soil Science
• Plant Biology
• +۳ مورد دیگر

Ingrid Lubbers is a Researcher in the Soil Geography and Landscape department at Wageningen University. Her work focuses on soil biota interactions, greenhouse gas dynamics, and agroecosystem sustainability. She has contributed to educational tools like interactive soil maps and digital learning modules (e.g., Soil Knowledge Clips) to enhance geoscience education. Her research explores earthworm impacts on plant growth, soil emissions, and agronomic practices, with notable contributions to understanding soil fauna's role in regulating CO₂ and N₂O emissions. Her academic projects include co-supervising PhD candidates such as Taghizadeh Kerman (Soil Literacy Technologies) and Feng (Urban Soil Ecology). She is actively involved in initiatives like 'Living Technosols' and 'Trigger Soil Curiosity,' emphasizing soil biodiversity and educational innovation. Her work bridges ecological research with practical applications in agriculture and environmental management. In 2023, she co-authored a seminal review on earthworms' agronomic roles, highlighting their ecological and economic significance. Her 2020 study on soil fauna and greenhouse gases was widely cited, demonstrating biodiversity's dual effects on emissions. Lubbers' publications span pedology, geology, and educational technology, reflecting her interdisciplinary approach to soil science.

Ben Talbotمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Robotics
• Artificial Intelligence
• Robot Navigation
• +۵ مورد دیگر

Dr. Ben Talbot is a Research Fellow at the Queensland University of Technology (QUT) , affiliated with both the Australian Centre for Robotic Vision (ACRV) and the QUT Centre for Robotics (QCR) . He earned a PhD in 2018 and a BEng (Honours I) in Electrical Engineering in 2012 from QUT. Ben specializes in cognitive robotics , artificial intelligence , and real-world robotic applications , with a focus on translating theoretical advances into practical systems. PhD , Robotics, Queensland University of Technology, 2018 BEng (Honours I) , Electrical Engineering, Queensland University of Technology, 2012 His research explores robot navigation using abstract maps , semantic SLAM , and human-inspired spatial reasoning , particularly in unseen environments . He pioneered the Abstract Map framework, which enables goal-directed exploration through symbolic spatial information. His work emphasizes open-source software like BenchBot and OpenSeqSLAM2.0 , enhancing robotics community accessibility. Ben's publications span 2013–2023, showcasing advancements in controller fusion , scene understanding , and sim-to-real transfer . Notable trends include integrating reinforcement learning with classical control and developing dynamic spatial models for navigation. Awarded Best Student Paper at ACRA 2015 and multiple Vice-Chancellor's Awards in 2015, Ben also received the Dean's Scholars Award in 2009. His work has been featured in The LABS and Brisbane Times media outlets. Beyond research, Ben contributed to robotics education as Head Tutor for Advanced Robotics and Microprocessors & Digital Systems during his PhD. He actively supports active scene understanding via high-fidelity simulated environments and robust API designs, aligning with QUT's commitment to bridging classical and modern robotics.