جستجوی استاد راهنمای دانشگاهی

• Heterogeneous Catalysis
• Environmental Catalysis
• Materials Science
• +۳ مورد دیگر

Sébastien Royer is a Professor at the University of Lille , affiliated with the Materials for Catalysis (MATCAT) research group within the Unit of Catalysis and Solid State Chemistry (UCCS). His work spans heterogeneous catalysis, environmental applications, and nanomaterials. Research Focus: Heterogeneous catalysis for environmental remediation, CO2 storage, biomass conversion, and pollutant degradation. Key Techniques: Design of metal-organic frameworks (MOFs), perovskite nanostructures, and mesoporous materials. Collaborations: Active in international and national projects, including partnerships with CNRS and academic institutions. His publications emphasize catalytic oxidation of formaldehyde , hydrogenation of alkenes/alkynes , and metal-support interactions . He has contributed to journals like Applied Catalysis B: Environmental and ACS Applied Materials & Interfaces . No students or awards are explicitly listed in the provided data.

• Computer Vision
• Deep Learning
• Robotics
• +۷ مورد دیگر

Dr. João Henriques is a Research Fellow of the Royal Academy of Engineering (RAEng) at the Visual Geometry Group (VGG), University of Oxford. His research focuses on advancing computer vision, deep learning, and robotics, particularly in areas like 3D scene understanding, reinforcement learning, and multi-agent systems. He is renowned for developing the KCF and SiameseFC visual trackers, which won the VOT Challenge and are deployed in consumer hardware. His work spans 3D geometry, self-supervised learning, causal inference, and neuro-symbolic systems. Key contributions include methods for egocentric video analysis, unsupervised reconstruction, and robot navigation. He leads the VGG's research on neural feature fields, hierarchical scene understanding, and real-time 3D perception. Recent publications emphasize 3D-aware segmentation, universal place recognition, and neuro-symbolic world modeling for robotics. His research often bridges theoretical guarantees with practical applications, such as medical imaging and autonomous systems. Dr. Henriques collaborates with industry and academia on AI ethics, friendly AI, and interpretable learning. His lab hosts DPhil students advancing creative AI applications, such as generative models for gameplay design and LLM evaluations in real-world editorial workflows.

Sohrab Zendehboudiمشاهده پروفایل

استاد

• Energy and Environment
• Process Systems Engineering
• Transport Phenomena
• +۵ مورد دیگر

Dr. Sohrab Zendehboudi is an Equinor Chair Professor and research lead in the Department of Chemical and Process Engineering at Memorial University's Faculty of Engineering and Applied Science. His work focuses on energy and environmental challenges through experimental and modeling approaches. He has over 15 years of experience across academia and industry in Iran, Kuwait, the U.S., and Canada. He holds a PhD in Chemical Engineering (specializing in transport phenomena) from the University of Waterloo. Research interests include carbon capture, utilization, and sequestration (CCUS), renewable energy systems, process systems engineering, and advanced wastewater treatment. He leads a large research team addressing theoretical and practical challenges in energy sustainability and environmental protection. Key achievements include the 2023 Lectureship Award. His publications span topics like hydrogen production, CO2 storage, solar energy systems, and novel adsorbent materials. He actively seeks graduate students and researchers skilled in experimental work, numerical modeling, and machine learning for energy applications. Education: PhD in Chemical Engineering (University of Waterloo) Key Areas: CO2 Management, Bioenergy, Adsorption Technologies Labs/Teams: Large interdisciplinary research group Grants: Focus on renewable energy and sustainability projects

Colin Garrowayمشاهده پروفایل

دانشیار

• Biodiversity
• Evolutionary Biology
• Genetics
• +۵ مورد دیگر

Dr. Colin Garroway is an Associate Professor in the Department of Biological Sciences at the University of Manitoba, Faculty of Science. His research focuses on understanding how population-level processes influence biodiversity at genetic, population, and species levels. He employs interdisciplinary approaches, including genomics, ecological modeling, and data synthesis, to address challenges in conservation and climate change impacts. His work often targets systems undergoing significant environmental changes, such as urbanized areas and Arctic ecosystems. Dr. Garroway teaches advanced courses in Evolutionary Genetics and Evolutionary Biology. His research emphasizes the interplay between human-driven environmental changes—such as urbanization and climate warming—and their effects on genetic diversity, species distribution, and adaptation. He leads the Garroway Lab, which collaborates on global projects like biodiversity assessments in protected areas and epigenetic studies in wildlife. Key research themes include: biodiversity conservation, climate adaptation genetics, urban evolution, and the genetic consequences of human activities. His work integrates field studies, genomic analyses, and computational models to provide actionable insights for conservation strategies.

Caitlyn Hallمشاهده پروفایل

استادیار

• Environmental Justice
• Natural Hazard Resilience
• Science Policy
• +۵ مورد دیگر

Caitlyn Hall is a Joint Assistant Professor of Practice in Hydrology and Atmospheric Sciences, Assistant Professor of Practice in Biosystems Engineering, and Director of the Future Earth Resilience minor program at the W.A. Franke Honors College. She founded the Arizona Science Policy Network and advises decision-makers on equitable legislation. Her roles span multiple departments at the University of Arizona, integrating environmental science with policy and community engagement. Educations: PhD in Environmental Engineering, Arizona State University BS and MS in unspecified fields from the University of Arizona Research Interests: Hall focuses on environmental justice, natural hazard resilience, and science policy, particularly in water governance, sustainability, and soil/water remediation. Her work emphasizes community-driven solutions and equitable policy development, leveraging transdisciplinary approaches to address climate adaptation and disaster recovery. She has pioneered efforts in open science and inclusive geoscience education. Articles Trends: Her recent publications emphasize integrating earth observation technologies with policy, advancing microbial-based ground stabilization techniques, and promoting equity in post-disaster recovery. Key themes include climate action frameworks, cross-cultural sustainability solutions, and open hydrology practices. Awards: No specific awards listed. Advising & Grants: Leads the Future Earth Resilience minor program and advises policymakers on legislative frameworks. Active in curriculum development for interdisciplinary environmental studies and community-driven research initiatives. Labs/Teams: Founder of the Arizona Science Policy Network, collaborates with global hydrology platforms like eWaterCycle, and engages in initiatives addressing US-Mexico border sustainability challenges.

Claudio Mineroمشاهده پروفایل

استاد

• Environmental Chemistry
• Analytical Chemistry
• Photocatalysis
• +۳ مورد دیگر

Claudio Minero is a Full Professor in the Department of Chemistry at the University of Turin, Italy. His research focuses on Analytical, Environmental, and Cultural Heritage Chemistry, with a strong emphasis on photocatalytic materials and environmental pollutant degradation. He leads the GSD 03/CHEM-01 research group, specializing in advanced oxidation processes and sustainable water decontamination technologies. His work integrates experimental and theoretical approaches to address challenges in environmental chemistry, including the phototransformation of pharmaceuticals, pesticides, and emerging contaminants. He has authored over 150 peer-reviewed articles and holds an ORCID identifier (orcid.org/0000-0001-9484-130X). His teaching spans undergraduate and graduate programs in Chemistry, Environmental Chemistry, and Materials Science. Key research themes include the development of novel photocatalytic systems (e.g., g-C₃N₄, TiO₂-based composites), the environmental fate of pollutants in sunlit waters, and the optimization of Fenton-like processes for wastewater treatment. His lab collaborates extensively with industry and academic partners on projects funded by national and international grants.

Omar Rifaie Grahamمشاهده پروفایل

مدرس

• Artificial Cells
• Polymersome Nanoreactors
• Polymer Chemistry
• +۵ مورد دیگر

Dr. Omar Rifaie Graham is a Lecturer (Assistant Professor) in Chemistry at Queen Mary University of London's School of Physical and Chemical Sciences, joining in September 2023. He leads a research group focused on polymer-based artificial cells to study physicochemical parameters underlying biological phenomena and develop technologies at the Living/Non-Living Interface. Previously, he held postdoctoral positions at Imperial College London and the University of Fribourg, Switzerland. Education: Licenciado in Pharmacy (BSc+MSc), Universidad Complutense de Madrid, Spain (2008–2014) PhD in Chemistry, Adolphe Merkle Institute – University of Fribourg, Switzerland (2014–2018) Research Interests: Development of artificial cells using polymer nanocontainers, stimuli-responsive materials (light, hydromechanical stress), and applications in biotechnology, therapy, and diagnostics. His work includes creating polymersomes with novel functionalities for drug delivery, diagnostics, and synthetic biology. Key Achievements: ACS PMSE Future Faculty Award (2023) Swiss Nanoscience Institute 'Best paper in nanoscience' (2021) Best PhD thesis in Experimental Sciences, University of Fribourg (2019) Co-founded a diagnostics company spun from his PhD research (1M+ USD funding) Grants & Collaborations: Royal Society Grant: £29,907 (2025–2026) National Institute for Health Research Grant: £315,942 (2020–2025) RSC Grant for 'Mimicking colour perception with artificial cells' (2024) Lab/Team: Directs a research group at Queen Mary's Department of Chemistry, collaborating with institutions like Imperial College London and the University of Fribourg. Active in synthetic biology, nanomedicine, and biomimetic materials.

Brian Kulisمشاهده پروفایل

دانشیار

• Machine Learning
• Statistics
• Large-scale Data Analysis
• +۵ مورد دیگر

Brian Kulis is an Associate Professor at Boston University with appointments in the Department of Electrical and Computer Engineering, Computer Science, Systems Engineering, and the Faculty of Computing and Data Sciences. He holds the Peter J. Levine Career Development Professorship and has previously been an Amazon Scholar at Alexa AI (2019–2023) and an assistant professor at Ohio State University (2012–2015). His research focuses on machine learning, including large-scale optimization, metric learning, deep learning, Bayesian methods, and applications in audio and visual data analysis. He earned his PhD in Computer Science from the University of Texas at Austin (2008) and a BS in Computer Science and Mathematics from Cornell University. Key awards include the NSF CAREER Award (2015), CVPR Best Student Paper (2008), and ICML Best Student Paper (2007, 2005). His work spans publications in top venues like CVPR, NeurIPS, ICML, and ECCV, emphasizing scalable algorithms and domain adaptation. Current research explores metric learning, adversarial audio augmentation, and HPC anomaly detection. He advises multiple PhD students and collaborates on grants such as the NSF Traineeship for Sustainable Energy Solutions (2024). He teaches advanced courses in machine learning, deep learning, and data structures. His lab focuses on foundational and applied ML challenges, with affiliations in the Intelligent, Autonomous & Secure Systems group. Recent service includes senior area chair roles at AAAI, NeurIPS, and ICML.

Lee M. Millerمشاهده پروفایل

استاد

• Neuroengineering
• Computational Neuroscience
• Auditory and Speech Processing
• +۴ مورد دیگر

Lee M. Miller is a Professor and Vice Chair of Academic Affairs in the Department of Neurobiology, Physiology and Behavior at the University of California, Davis, affiliated with the Center for Mind and Brain. His research focuses on neuroengineering, computational neuroscience, and neural mechanisms underlying attention, speech processing, and multisensory integration. Research interests include the development of neural prosthetics, decoding of neuromuscular signals for prosthetic control, and understanding how auditory and visual systems interact during speech perception and attentional processes. His work bridges clinical applications (e.g., cochlear implants) with fundamental neuroscience, leveraging tools like electrophysiological recordings, EEG/MEG, and advanced signal processing techniques. Recent publications highlight innovations in electromyographic speech neuroprosthetics, the topology of neuromuscular signals, and the neural basis of speech-in-noise processing. Miller’s studies emphasize translational potential, such as improving speech synthesis from brain signals and designing haptic feedback systems for motor coordination. His contributions have advanced understanding of neural mechanisms in sensory integration, auditory attention, and the impact of cognitive factors on perception. Miller maintains a lab dedicated to these interdisciplinary efforts, with a focus on both basic science and clinical applications.

Tom Wooمشاهده پروفایل

استاد

• Theoretical Chemistry
• Physical Chemistry
• Catalysis
• +۶ مورد دیگر

Tom Woo is a Professor in the Department of Chemistry at the University of Ottawa's Faculty of Science. His research focuses on computational quantum chemistry, catalysis, and energy-related systems. Using advanced molecular simulations, his group explores microscopic chemical processes and develops novel methods for energy storage, pharmaceutical catalysis, and material design. Key projects include studying catalytic systems for energy conversion and pharmaceutical synthesis, leveraging computational tools to uncover reaction mechanisms inaccessible via experiments. Research interests span computational chemistry, quantum chemistry, molecular dynamics, and nanotechnology. The Woo Group applies these methods to design metal-organic frameworks (MOFs) for CO2 capture, hydrogen storage, and other energy applications. Their work bridges theoretical models with experimental validation, emphasizing high-throughput screening and machine learning. Publications highlight breakthroughs in MOF design, computational validation of material databases, and carbon capture technologies. Collaborations focus on interdisciplinary challenges in energy sustainability and pharmaceutical catalysis.

• Large-Scale Data Management
• Data Systems
• Big Data Analysis
• +۵ مورد دیگر

Nick Koudas is a Professor in the Department of Computer Science at the University of Toronto. His research focuses on large-scale data management, integrating machine learning into data systems, and developing efficient query processing techniques for unstructured and streaming data. He holds a PhD from the University of Toronto, an MSc from the University of Maryland at College Park, and a Bachelor's from the University of Patras in Greece. Research interests include data systems, big data analysis, video query processing, and natural language interfaces for databases. He leads projects like ReDD (Relational Deep Dive), SVQ (Streaming Video Queries), and Reliable Text-to-SQL, aiming to bridge human-readable queries with database execution. His work emphasizes scalability, intelligence, and real-world applicability. Recipient of the University of Toronto's Inventor of the Year Award (2011), he translates research into startups like Sysomos, Aislelabs, and Workorb. His contributions span over 200 publications in top venues such as SIGMOD, VLDB, and ICDE. Courses taught include advanced data systems, database design, and system internals. Current projects explore schema extraction from unstructured data, video query optimization, and cost-effective machine learning pipelines. Collaborations with industry and academic partners drive innovations in both theory and practical applications.

Iris Yuمشاهده پروفایل

استادیار

• Green Chemistry
• Biomass Conversion
• Sustainable Materials
• +۳ مورد دیگر

Iris Yu is an Assistant Professor in the Civil and Environmental Engineering department at the National University of Singapore (NUS) . Her research focuses on green chemistry and biomass conversion , particularly utilizing microwave-assisted processing and green solvents to transform food and biomass waste into sustainable chemicals and materials. She actively contributes to teaching courses like Green Catalysis and Circular Economy , while leading a team of researchers in biorefinery and waste valorization projects. Her scientific awards include the L'Oréal-UNESCO for Women in Science Singapore Award 2024 MIT Technology Review Innovator Under 35 (TR35) Asia Pacific 2023 Fellow of the Royal Society of Chemistry (2023–Present) Clarivate Highly Cited Researcher (Cross-Field) 2022–2023 World's Top 2% Scientist by Stanford University 2023 Yu’s research interests span biomass upcycling microwave technology bioresource utilization catalysis fundamentals green and sustainable chemistry platform chemical production . Her publications frequently address microwave-assisted biorefineries , catalytic hydrogenation mechanisms , and sustainable solvent impacts on biomass conversion. She serves on editorial boards for journals like Science of the Total Environment and ACS Sustainable Chemistry & Engineering , and mentors students in the IRIS@NUS internship program. Her lab’s work has been recognized in awards such as the Best Student Poster at SIWW2024, highlighting innovative approaches like microalgae-based food waste valorization .

Edman Tsangمشاهده پروفایل

استاد

• Catalysis
• Renewable Energy Systems
• Sustainable Materials
• +۳ مورد دیگر

Professor Edman Tsang leads the Wolfson Catalysis Centre at the University of Oxford, focusing on catalysis and sustainable energy systems. His work includes developing novel catalysts for green ammonia production, renewable energy storage, and CO₂ conversion. He collaborates with Siemens on a £1.5M Innovate UK project for a wind-powered green ammonia plant at Rutherford Appleton Laboratory. Research spans photocatalytic solar cells, biofuel production from biomass, and hydrogen storage solutions. His team pioneered the e-Haber-Bosch process, reducing energy demands through renewable integration. Key innovations include patented catalysts for ammonia synthesis and advanced electrochemical systems. The group also explores plastic upcycling via mild heterogeneous catalysis and carbon capture technologies.

Garg Vikasمشاهده پروفایل

استادیار

• Quantum Computing
• Artificial Intelligence
• Machine Learning
• +۸ مورد دیگر

Professor Garg Vikas holds the position of Assistant Professor in the Department of Computer Science at the School of Science. His research spans quantum computing, artificial intelligence, and machine learning with applications in computational biology, healthcare, and drug design. He leads the HEALED/Garg project focused on human-steered machine learning for drug discovery and collaborates with institutions like MIT and industry partners. He co-founded YaiYai Oy, providing AI/ML solutions to global sectors. Education: PhD from MIT CSAIL under Tommi Jaakkola, with postdoctoral and industry experience at Amazon, Microsoft, and IBM. His work aligns with UN SDGs, particularly in healthcare and sustainable energy. Research interests include graph neural networks, generative models, and quantum AI. Recent projects involve climate modeling via physics-informed neural ODEs and optimizing quantum circuits using graph autoencoders. Key collaborations include MIT’s MLPDS Consortium and the Finnish Center for Artificial Intelligence. He supervises doctoral researchers like Yogesh Verma and postdocs such as Kogkalidis.

• Metabolomics
• Antibiotic Resistance
• Biotechnology
• +۵ مورد دیگر

Per Bruheim is a Professor at the Department of Biotechnology and Food Science, Norwegian University of Science and Technology (NTNU). He leads the Bruheim research group, focusing on Deep Phenotyping of prokaryotic and eukaryotic systems using advanced metabolomics, fluxomics, and lipidomics techniques. He is the scientific leader of the NV faculty Mass Spectrometry lab and has developed targeted/non-targeted MS methods applied to diverse biological systems. Teaching roles include leading the 2-year and 5-year Biotechnology programs (MSBIOTECH and MBIOT5). He teaches courses such as TBT4140 Biochemical Engineering, TBT4110 Microbiology, and TKP4170 Process Design. Current research projects include targeting antibiotic resistance via bacterial stress responses (Trond Mohn Foundation), chemically defined cell culture media development, and peptide drug inhibition of translesion synthesis mechanisms. Research interests center on metabolomics and systems biology approaches to study microbial physiology and antibiotic resistance, with applications in bioprocessing and sustainable protein production. His lab employs mass spectrometry for precise metabolic profiling and collaborates internationally on projects involving lipidomics and flux analysis. Advising and grants involve mentoring over a dozen master’s theses on topics like microbial fermentation optimization, single-cell protein production, and recombinant protein expression. He actively pursues funding for projects addressing AMR mechanisms and bioprocess innovation. The Bruheim group also collaborates with industry on sustainable raw material utilization for microbial cultures. Labs/Teams: Leads the Mass Spectrometry facility at NTNU and directs the Bruheim research group within the Institute of Biotechnology (IBT). Collaborates with national/international partners in microbiology, metabolomics, and bioprocessing.