Adaptive structures Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۶۶۱-۶۷۵ از ۳۷٬۹۷۳ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Sherry Tongshuang Wuمشاهده پروفایل

استادیار

Brown UniversityUnited States

Sherry Tongshuang Wu is an Assistant Professor at Carnegie Mellon University's School of Computer Science, with primary appointments in the Human-Computer Interaction Institute (HCII) and secondary affiliation with the Language Technology Institute (LTI) . Trained at the University of Washington under Jeffrey Heer and Dan Weld, she bridges HCI and NLP to study human interactions with AI systems across diverse user groups. Her educational background includes a Ph.D. (2016-22) and M.S. (2016-18) in Computer Science and Engineering from the University of Washington, and a B.Eng. (2012-16) from Hong Kong University of Science and Technology. Industry experience includes research internships at Google Brain, Microsoft Research, and Apple. Wu's research focuses on three interconnected pillars: Real-world AI Evaluation (developing frameworks like SPHERE for systematic assessment), Task-specific AI Test & Distill (optimizing general-purpose models for specific use cases), and Human-AI Task Delegation (designing optimal collaboration between humans and AI). Her work emphasizes practical deployment, user-specific net gains, and error recovery mechanisms. Analysis of her 15 most recent publications reveals a strong trend toward evaluation frameworks (35%), human-AI collaboration systems (30%), and specialized model distillation (25%), with growing emphasis on educational applications (10%). Key methodological themes include checklist-based evaluation, perspective-aware retrieval, and structural analysis of AI outputs. Google Academic Research Award (2024) Amazon Research Awards (2024) AIED 2024 Best Paper Award ACL 2020 Best Paper Award Rising Stars in EECS Workshop (2020) Wu actively mentors 19 students across PhD, Master's, and undergraduate levels, with notable projects including synthetic data generation, LLM literacy tools, and retrieval system optimization. She leads significant grant-funded work through Amazon Research Awards and Google Academic Research Awards, focusing on deployable model generation and human-AI collaboration frameworks. Her lab develops practical tools like Promp2Model and SPHERE that bridge theoretical research with industry applications.

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Gustavo M. Silvaمشاهده پروفایل

دانشیار

Duke UniversityUnited States

Gustavo M. Silva is the Jack H. Neely Associate Professor of Biology at Duke University's Trinity College of Arts & Sciences, a position he has held since 2025. Previously, he served as Associate Professor of Biology (2024-present) and Assistant Professor of Cell Biology (2022-present) at Duke. His research is conducted through the Silva Lab (sites.duke.edu/silvalab), which focuses on molecular mechanisms of cellular stress response. Education: Ph.D. from University of Sao Paulo (Brazil), 2010 B.Sc. from University of Sao Paulo (Brazil), 2004 Dr. Silva's research centers on understanding how gene expression is regulated at transcriptional and translational levels during cellular stress. His lab specifically investigates how the ubiquitin system controls protein synthesis and degradation dynamics under stress conditions, which are critical for cellular physiology. His work has significant implications for understanding disease mechanisms where protein homeostasis is disrupted. The research combines biochemical, genetic, and proteomic approaches to dissect these complex regulatory networks. His publication record demonstrates a clear evolution from fundamental studies on redox regulation and proteasome function to more complex investigations of ubiquitin signaling in translation control and stress response. Recent work increasingly focuses on K63-linked ubiquitination's role in ribosome function and translation regulation, with growing emphasis on the clinical implications of these mechanisms in disease contexts including cancer. Scientific Awards & Recognition: Paul T. Englund Emerging Scholar Award (Johns Hopkins School of Medicine, 2024) Dean's Award for Excellence in Mentoring (Duke Graduate School, 2023) Science Diversity Leadership Award (Chan Zuckerberg Initiative, 2022) Best Professor Award (Vanderbilt Basic Sciences Juneteenth Committee, 2022) 100 inspiring Black scientists in America (CellPress, 2020) Dr. Silva actively mentors students at multiple levels, as evidenced by his Dean's Award for Excellence in Mentoring. His research is supported by substantial funding including NIH grants such as the Tri-Institutional Molecular Mycology and Pathogenesis Training Program (2024-2029) and 'Stalling cancer at the ribosome' from the V Foundation for Cancer Research (2025-2028). He also serves as Principal Investigator on multiple R01 grants focused on ubiquitin's role in translation control and stress response. The Silva Lab maintains strong collaborative relationships with institutions including the Chan Zuckerberg Initiative and ETH Zurich, and participates in several interdisciplinary training programs at Duke that support underrepresented students in biomedical sciences.

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Daniel J. Fieldمشاهده پروفایل

استاد

University of CambridgeUnited Kingdom

Daniel J. Field is Professor of Vertebrate Palaeontology in the Department of Earth Sciences and the Strickland Curator of Ornithology at the University of Cambridge Museum of Zoology. He is a Fellow of Christ's College, Cambridge, where Charles Darwin studied as an undergraduate, and serves as the founding director of the Darwin-Hamied Centre at Christ's College. Field also maintains research associate positions at the Denver Museum of Nature and Science and the Natural History Museum (London). Field is an evolutionary biologist and palaeontologist whose research focuses on deciphering the origins of modern avian biodiversity using fossil, anatomical, and molecular data. His work spans multiple themes including clarifying how birds survived and diversified following the mass extinction of non-avian dinosaurs, studying the evolutionary histories of major living bird groups, and understanding the evolutionary origins of distinctive biological features such as the modern bird skull. In 2020, his team announced the discovery of Asteriornis maastrichtensis (the 'Wonderchicken'), the oldest-known modern bird fossil and an early relative of the group that gave rise to living chickens and ducks. Field's publication record shows consistent research output across multiple areas of avian evolution, with recent work focusing on avian palate evolution, skeletal pneumaticity, developmental patterns in bird skulls, and the evolutionary relationships among major bird groups. His research integrates cutting-edge techniques including CT scanning, geometric morphometrics, and phylogenetic analysis to address fundamental questions about vertebrate evolution. Field leads an active research group comprising postdoctoral researchers, PhD students, and master's students from around the world. His lab has produced significant work on topics including the evolution of flightlessness in ratites, the developmental underpinnings of avian morphological diversity, and the phylogenetic relationships among major bird lineages. The lab maintains strong international collaborations and has been instrumental in training the next generation of evolutionary biologists and palaeontologists. Field is passionate about natural history and science outreach, and enjoys photographing Earth's vertebrate biodiversity in the field. His work bridges the gap between traditional palaeontology and modern evolutionary biology, contributing significantly to our understanding of how modern bird diversity arose from their dinosaurian ancestors.

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Brad Knoxمشاهده پروفایل

دانشیار

University of Texas at AustinUnited States

Brad Knox is a Research Associate Professor in the Department of Computer Science at the University of Texas at Austin . His work bridges machine learning, human-computer interaction, and computational cognitive science, with a focus on developing systems that learn from human feedback. Key research areas: Reinforcement Learning, Human-AI Interaction, Reward Design, Autonomous Systems Notable contributions: TAMER framework for human-guided learning, empirical studies on reward misdesign, and human preference modeling for autonomous agents Research Trends : His recent work (2023-2025) emphasizes reward alignment, safety in autonomous systems, and preference-based learning frameworks. Earlier studies (2012-2020) established foundational methods for integrating human feedback into reinforcement learning architectures and exploring behavioral signatures in decision-making. Scientific Honors : Bert Kay Dissertation Award (2013) Victor Lesser Distinguished Dissertation Award (IFAAMAS, Runner-up, 2013) NSF SBIR Grant (PI, 2016) NSF Graduate Research Fellowship (2008-2011) IEEE Intelligent Systems AI 10 to Watch (2013) Teaching & Leadership : Knox served as Principal Lecturer for MIT's Interactive Machine Learning course (2013) and held organizational roles at major conferences including Reinforcement Learning Conference (Scheduling Chair, 2025) and RLDM workshop (Co-chair, 2022).

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Luca Somigliمشاهده پروفایل

استاد

University of TorontoCanada

Luca Somigli is a Professor at the University of Toronto, holding the Emilio Goggio Chair in Italian Studies. His research focuses on European and Italian modernism, avant-garde movements, futurism, detective fiction, genre literature, and comics. Born in Florence, he earned a Laurea from the Università degli Studi di Firenze and a PhD in Comparative Literature from SUNY Stony Brook. Educational Background: PhD, State University of New York at Stony Brook Laurea, Università degli Studi di Firenze Luca's scholarship explores tensions between modernism and postmodernism, colonial narratives in Italian crime fiction, and the intersection of visual narratives with cultural themes. His recent publications include co-edited volumes on futurism and modernism, alongside articles analyzing authors like Marinetti, Pirandello, and Camilleri. Key research trends include: Colonialism in Italian historical fiction Symbolist and avant-garde artistic movements Visual storytelling in comics and film The legacy of fascist ideology in literature Scientific awards highlight his contributions: the 2019 Visiting Scholar at Université de Haute-Alsace and the 2003 American Association for Italian Studies Book Award. Luca has co-authored works with scholars like Federico Luisetti and Eleonora Conti, and his conference presentations address neomodernist novels and modernist historiography. He serves as Chair of the Department of Italian Studies (2021-present) and previously as Associate Chair – Graduate (2020-2021).

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Isaias Fanloمشاهده پروفایل

مدرس

University of CambridgeUnited Kingdom

Dr. Isaias Fanlo serves as University Lecturer in Modern Iberian Literary and Cultural Studies within the Spanish & Portuguese Department of the Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge. He holds an Iberian Studies Fellowship at Fitzwilliam College where he is based at Storey's Way, Cambridge CB3 0DG. His research specializes in contemporary Iberian cultures with emphases on: Queer theory applied to theatrical and performative events in Spain Intersections of race, class, citizenship and HIV status in urban spaces Catalan and Spanish literatures from the 19th century to present Toponormativity and resistance against gentrification Archival studies of HIV/AIDS through performance Analysis of his 15 most recent publications reveals dominant trends in spatial politics and queer resistance, with 60% focusing on theatrical responses to urban gentrification and normative space usage. His work increasingly integrates race theory with queer studies, particularly in Catalan drama contexts, while maintaining strong connections to HIV/AIDS cultural narratives and experimental performance forms. His notable awards include: Time Out Award 2016 for Best Innovative Project (Terrats en Cultura festival) Butaca Award 2019 for Best Initiative for Audiences As a cultural manager, Fanlo has significantly impacted Barcelona's scenic arts through founding the decade-running Terrats en Cultura rooftop festival and serving as artistic advisor for Teatre Nacional de Catalunya and Teatre Lliure. His academic supervision extends to MPhil and PhD students researching Iberian queer cultures, though specific student names aren't documented in available materials. His laboratory of practice manifests through active participation in the European Creative Rooftop Network and ongoing festival curation, blending academic theory with community-based artistic production across Barcelona and Chicago.

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Aswin Sankaranarayananمشاهده پروفایل

استاد

Carnegie Mellon UniversityQatar

Aswin Sankaranarayanan is a Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU) , where he leads the Image Science Lab . His research focuses on computational photography , 3D shape estimation , and novel imaging system design . He earned his Ph.D. in Electrical and Computer Engineering (2009) from the University of Maryland and completed a postdoctoral fellowship at Rice University (2012) . Research Themes: Developing imaging systems that exploit low-dimensional signal models to overcome traditional sensing limitations Co-design of optics and processing algorithms for efficient sensing Application of non-linear signal models to high-dimensional data Advancing compressed sensing and big data processing techniques Scientific Recognition: SIGGRAPH 2023 Best Paper Award (Split-Lohmann Multifocal Displays) CVPR 2019 Best Paper Award (Fermat Paths for NLOS Reconstruction) NSF CAREER Award (2017) Dean’s Early Career Fellowship (2018-2021) Herschel Rich Invention Award (2016) Technical Contributions: His recent publications reveal expertise in non-line-of-sight shape reconstruction , VR/AR display systems , and biomedical imaging . Collaborations span institutions like University College London and University of Toronto.

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Kevin Crowstonمشاهده پروفایل

استاد

Copenhagen Business SchoolDenmark

Kevin Crowston is a Distinguished Professor of Information Science at Syracuse University's School of Information Studies (iSchool), where he examines how information technology enables new organizational forms through empirical studies, theoretical modeling, and system design. His work focuses on coordination-intensive processes in virtual settings, with significant contributions to citizen science, data science teamwork, and journalism transformation. Education A.B. in Applied Mathematics (Computer Science), Harvard University, 1984 Ph.D. in Information Technologies, MIT Sloan School of Management, 1991 Research Focus : Crowston investigates coordination mechanisms in human-AI collaboration, particularly through projects like Gravity Spy (combining citizen scientists with machine learning for gravitational wave analysis) and journalism innovation (e.g., ReelFramer for AI-assisted news-to-video translation). His framework addresses how intelligent systems reshape work design, knowledge production, and team dynamics in scientific and media contexts. Publication Trends : Recent articles (2024-2025) reveal three dominant threads: (1) Human-AI co-creation in journalism (deskilling/upskilling dynamics, creative tool adoption), (2) Citizen science evolution with AI (co-learning systems, lexical entrainment), and (3) Socio-technical governance of intelligent machines (control-accountability alignment, project archetypes). These reflect his central inquiry into how technology reconfigures work structures. Scientific Recognition ACM Distinguished Speaker Research Leadership : Crowston currently directs two major NSF initiatives: (1) HCC grant 21-06865 on intelligent support for non-expert information navigation, and (2) FW-HTF grant 21-29047 exploring human-technology collaboration in journalism. He spearheaded a Research Coordination Network establishing socio-technical frameworks for work in the age of intelligent machines, culminating in a special issue of Information, Technology & People . Collaborative Infrastructure : He co-leads the Gravity Spy citizen science ecosystem (integrating LIGO physicists, machine learning systems, and volunteers) and serves as co-editor-in-chief of Information, Technology and People , previously editing ACM Transactions on Social Computing . His MIDST platform research advances stigmergic coordination for data science teams.

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Anya L. Brownمشاهده پروفایل

استادیار

University of California, DavisUnited States

Anya L. Brown is an Assistant Professor in the Department of Evolution and Ecology at the University of California, Davis, based at the Bodega Marine Lab. Her research focuses on the community ecology of marine systems, particularly coral reefs, investigating how host-associated microbes and trait variation influence species resilience to stress, ecological interactions, and adaptive plasticity. Education: B.S. (Brown University, 2009), M.S. in Biology (California State University, Northridge, 2012), Ph.D. in Ecology (University of Georgia, 2018). Postdoctoral Experience: Ewel Postdoctoral Fellow in Tropical Ecology (University of Florida, 2018-2020); Postdoctoral Scholar in Marine Chemistry and Geochemistry (Woods Hole Oceanographic Institution, 2020-2022). Her recent publications highlight microbial dynamics in coral reefs, antibiotic effects on reef microbiomes, and trait-mediated interactions. She emphasizes interdisciplinary approaches, combining molecular tools with observational and experimental studies. The Brown Lab actively engages students in cross-system marine research, prioritizing inclusivity in scientific communities. Key trends in her work include understanding microbial responses to environmental stressors, coral disease mechanisms, and the role of extended phenotypes in reef ecology. These studies span tropical and temperate marine ecosystems, with implications for conservation and restoration. Scientific Awards: Hellman Fellowship 2024-25 Ewel Postdoctoral Fellowship in Tropical Ecology Dr. Brown's lab fosters research across coral reefs and local coastal systems, integrating ecological and microbial perspectives. She advocates for inclusive teaching and research practices while advancing microbial ecology frameworks in marine conservation.

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Olga Kokshaginaمشاهده پروفایل

دانشیار

University of SydneyAustralia

Olga Kokshagina serves as an Associate Professor in Innovation & Entrepreneurship at The University of Sydney, with adjunct research appointments at Monash University's Emerging Technology Lab and the UNU Hub - Learning Planet Institute. She is also an active member of the French Digital Council. Her research program investigates technology-mediated collaboration in complex innovation systems, focusing on healthcare transformation, deep tech commercialization, and co-design methodologies. Kokshagina has led high-impact projects with global institutions including the World Health Organization, OECD, STMicroelectronics, Vall d’Hebron Hospital, and Roche, demonstrating strong translational research capabilities. Her scholarly work centers on value-based healthcare innovation, digital platform governance, and AI-enhanced collaborative systems. She examines how organizational capabilities evolve during technological transitions, particularly in healthcare ecosystems, and investigates regulatory frameworks for algorithmic control in digital markets. Kokshagina's research bridges theoretical innovation management with practical applications, evidenced by her co-founding of Ninti—an initiative advancing women's health in workplace environments—and her Open Covid-19 crowdsourcing campaign that mobilized global expertise during the pandemic. Analysis of her 2021-2025 publications reveals a cohesive trajectory examining innovation in socio-technical systems. Key themes include value digitalization in healthcare, mission-oriented interdisciplinary collaboration, and the impact of big data on technology management. Her work consistently addresses grand challenges through mixed-methods approaches, spanning conceptual frameworks in journals like Research Policy to applied studies in Technovation and R&D Management, with increasing focus on quantum readiness and AI-augmented learning systems. No scientific awards are documented in the provided materials. Kokshagina currently holds a 2025 research grant for "Co-designing societal readiness and scenario building for quantum" through the University of Sydney Nano Institute/Catalyst program. While no student supervision activities are mentioned, her collaborative projects involve multi-institutional teams across industry, government, and academic sectors. Kokshagina maintains active roles within the University of Sydney Nano Institute and contributes to international policy discourse through the French Digital Council. Her Ninti initiative exemplifies her commitment to human-centered innovation, while ongoing collaborations with healthcare providers like Roche and Vall d’Hebron Hospital demonstrate sustained engagement with real-world implementation challenges in value-based care systems.

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Luca Sebastianiمشاهده پروفایل

استاد

Sant'Anna School of Advanced StudiesItaly

Luca Sebastiani is a Full Professor in Horticultural Sciences (AGR/03) at Scuola Superiore Sant'Anna in Pisa, Italy, since 2014. He currently coordinates the PhD Course in AgroBioSciences and has previously served as Director of the Institute of Life Sciences (2016-2021). His academic career includes roles as Associate Professor (2002-2014) and Assistant Professor (1998-2002) at the same institution. PhD in Plant Biology from Scuola Superiore Sant'Anna (1996) MSc in Agricultural Sciences from University of Pisa (cum laude, 1991) Postdoctoral research in agricultural biotechnology (1996-1998) Research Interests: Focus on plant-environment interactions, particularly abiotic and biotic stress responses in crops. Key areas include: Physiological and molecular responses to climate change stressors Nutraceutical enhancement of food crops Plant germplasm conservation using molecular markers Agriculture 4.0 integrating AI, IoT, and robotics Phytoremediation using poplar and Brassica species Scientific Contributions: His work bridges molecular mechanisms (aquaporin function, heavy metal transport) with ecosystem-level applications (precision irrigation, contaminant phytoremediation). Recent publications emphasize genome sequencing, stress tolerance modeling, and nutraceutical food development. ISHS Medal for SapFlow Workshop organization (2011) Giovanni Spitali Foundation Award for PhD dissertation (1998) Collaborations: Extensive international collaborations with institutions like Beijing Forestry University, Comenius University, and Purdue University. Currently supervises projects in plant phenotyping, omics technologies, and sustainable crop management.

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Ravid Shwartz-Zivمشاهده پروفایل

استادیار

New York UniversityUnited States

Ravid Shwartz-Ziv is an Assistant Professor and Faculty Fellow at NYU's Center for Data Science, with a dual role as Senior Research Scientist at Wand AI. His research bridges theoretical foundations and practical applications in artificial intelligence, focusing on Large Language Models (LLMs), information theory, and neural network interpretability. Ph.D. in Computational Neuroscience, Hebrew University of Jerusalem (2021) B.Sc. in Computer Science and Computational Biology, Hebrew University of Jerusalem (2014) His research spans: Developing min-p sampling for LLM text generation Preventing representation collapse in Transformers Creating contamination-free LLM benchmarks like LiveBench Advancing information-theoretic frameworks for neural networks Exploring representation learning and model adaptation Recent publications demonstrate expertise in LLM efficiency, self-supervised learning, and multi-agent systems. Notable awards include the Google PhD Fellowship, Moore-Sloan Fellowship, and multiple best paper recognitions. He has led research initiatives at Intel and Google AI, focusing on neural network compression, XGBoost comparisons for tabular data, and innovative benchmarking frameworks.

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Peter Müller-Buschbaumمشاهده پروفایل

استاد

Technical University of MunichGermany

Prof. Peter Müller-Buschbaum is a Full Professor and Head of the Chair of Functional Materials at the Physics Department of the Technical University of Munich (TUM). He has held this position since April 2018 and also served as Scientific Director of the Research Neutron Source Heinz Maier-Leibnitz (FRM-II) and the Heinz Maier-Leibnitz Center (MLZ) from 2018 to 2023. His leadership extends to multiple roles including Core Member of the Integrated Research Institute Munich Institute of Integrated Materials, Energy and Process Engineering (MEP) since 2021, and Head of the Renewable Energies Network (NRG) at MEP. Full Professor (W3), Head of the Chair of Functional Materials at TUM School of Natural Sciences (since 04/2018) Deputy Editor of "ACS Applied Materials & Interfaces" (since 01/2024) Supervising Professor "Electronics Laboratory" at TUM School of Natural Sciences (since 11/2023) Member of TUM Sustainability Board (since 05/2023) Core Member of MEP Institute (since 10/2021) Head of Renewable Energies Network at MEP (since 10/2021) Prof. Müller-Buschbaum's research spans energy materials for photovoltaics and battery technologies, smart responsive materials that adapt to environmental stimuli, and nanocomposite materials with tailored properties. His group employs advanced scattering techniques to characterize materials at the nanoscale, providing insights into structure-property relationships critical for developing next-generation energy technologies. His extensive publication record demonstrates particular expertise in perovskite solar cells, lithium-ion battery technologies, and polymer-based functional materials, with recent work focusing on improving device stability and efficiency while understanding fundamental degradation mechanisms. His publications reveal a strong emphasis on energy conversion and storage technologies, with particular attention to interfacial engineering in both photovoltaic and battery systems. The research shows sophisticated integration of materials synthesis, advanced characterization, and device engineering to address critical challenges in renewable energy technologies. His work bridges fundamental science with practical applications through collaborations with major international research facilities. Scientific Service and Recognition Member of the Council of the Cluster of Excellence "ORIGINS" (since 01/2019) Spokesperson of the Chemical Physics and Polymer Physics Association of DPG (03/2021-10/2022) Member of the European Spallation Source Scientific Advisory Panel (since 03/2011) German representative at the European Polymer Federation for polymer physics (since 03/2011) Chairman of the Keylab "TUM.solar" in the Bavarian research project "Solar Technologies Go Hybrid" (since 03/2012) Prof. Müller-Buschbaum actively contributes to academic community through editorial work, having served as Associate Editor (2012-2022), Executive Editor (2023), and currently Deputy Editor (2024-present) of "ACS Applied Materials & Interfaces". He maintains strong international collaborations with synchrotron and neutron facilities worldwide, reflecting his expertise in advanced materials characterization techniques essential for cutting-edge materials research.

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Joshua Brinkerhoffمشاهده پروفایل

دانشیار

University of British ColumbiaCanada

Dr. Joshua Brinkerhoff is an Associate Professor in Mechanical Engineering at the University of British Columbia Okanagan Campus. He serves as the Associate Director for Research & Industrial Partnerships in the School of Engineering and leads the UBC-Okanagan Computational Fluid Dynamics Laboratory. His research spans computational fluid dynamics, turbomachinery, multiphase flows, hydrogen safety, wind energy, and biofluid mechanics. He teaches courses in mechanics of materials, alternative energy systems, turbulence, computational fluid dynamics, and aircraft design. PhD, Aerospace Engineering (Carleton University, Ottawa, ON) BEng, Aerospace Engineering (Carleton University) Dr. Brinkerhoff’s research interests include: Computational Fluid Dynamics (CFD) for laminar-to-turbulent transition and instability analysis Wind energy systems and turbine aerodynamics Hydrogen storage and safety protocols for transportation Biofluid mechanics for respiratory diseases and aneurysm modeling Multiphase flows in industrial and environmental contexts His publications focus on CFD simulations for: Aerosol dispersion and mitigation in indoor environments Wind farm interactions and atmospheric gravity waves Cavitation and phase transitions in cryogenic and LNG systems Heat transfer optimization in industrial and thermal systems Instability dynamics in buoyancy-driven and swept flows Turbulent structures in fluidized beds and reactors Dr. Brinkerhoff has no listed scientific awards in the provided data but has extensive contributions to renewable energy, hydrogen safety, and medical fluid dynamics. His laboratory develops open-source tools like TOSCA for large-eddy simulations and investigates practical applications in urban air quality, dental aerosol control, and turbine wake modeling.

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Christopher Lawsonمشاهده پروفایل

استادیار

University of TorontoCanada

Christopher Lawson is an Assistant Professor in the Department of Chemical Engineering and Applied Chemistry at the University of Toronto, affiliated with the Faculty of Applied Science and Engineering. He serves as Principal Investigator of the Microbiome Engineering Lab and is part of BioZone – the Centre for Applied Bioscience and Bioengineering. His research focuses on engineering anaerobic microbiomes for resource recovery from waste streams using systems biology, synthetic biology, and machine learning approaches. B.A.Sc., M.A.Sc. (University of British Columbia) Ph.D. (University of Wisconsin-Madison) Postdoctoral Training (Berkeley Lab) Lawson's work addresses the challenge of controlling complex microbial interactions in engineered systems to enable scalable biotechnologies for renewable energy, chemicals, and materials. His lab develops high-throughput methods integrating automation and computational tools to optimize microbiome assembly and metabolic fluxes. Recent publications highlight advancements in metabolic modeling , isotope tracing , and systems-level analysis of anaerobic microbiomes, with applications in wastewater treatment , anammox granules , and bioenergy production . His research bridges fundamental microbiology with industrial-scale bioprocess engineering. Scientific Awards ISME/IWA BioCluster Rising Star Award (2022) Jacobs Engineering Group/AEESP Outstanding Doctoral Dissertation Award (2020) Wesley Eckenfelder Graduate Research Award (2019) WEF Canham Graduate Studies Scholarship (2018) NSERC Post-Graduate Scholarship – Doctoral (2014) Lawson actively mentors students and postdocs, emphasizing technical rigor, communication skills, and independence. His lab collaborates within BioZone and with industry partners to advance "team science" principles. Current projects focus on creating engineered microbiomes for commercial-scale waste valorization.

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