جست‌وجوی استاد و پژوهشگر

Huiqi Yvonne Luمشاهده پروفایل

مدرس

• AI for Health
• Sensor Informatics
• Digital Health
• +۳ مورد دیگر

Dr. Huiqi Yvonne Lu is a Stipendiary Lecturer in Engineering Science and Researcher in AI for Health and Sensor Informatics at the University of Oxford. She holds positions as co-lead tutor for admissions at Worcester College and a Fulford Junior Research Fellow at Somerville College. Her research focuses on AI-driven health monitoring, wearable devices, and sensor signal processing. She leads projects like SMARTEDGE (EU Horizon) and MIRAGE (Diabetes UK), addressing gestational diabetes and chronic disease management. She is an award-winning researcher with honors including the CAETS High Potential Innovations Prize and the Royal Academy of Engineering Fellowship. Dr. Lu actively contributes to IEEE standards and editorial roles at Nature npj Women’s Health and Frontiers in Signal Processing. Education: DPhil in Mobile Computing from the University of Sussex, funded by UKRI and Sussex GTA scholarships. Post-DPhil work included biomedical research at Oxford John Radcliffe Hospital and Liverpool University, followed by a Daphne Jackson Fellowship in 2019. She earned undergraduate and graduate teaching accolades in engineering and mathematics. Research interests include machine learning for healthcare, physiological modeling, and medical device innovation. She has pioneered work on AI for maternal health, blood glucose monitoring, and LLM-based healthcare worker training in rural India. Her interdisciplinary projects bridge engineering, medicine, and global health equity. Teaching roles span Math, Electronics, and Health Data Science modules at Oxford, Sussex, and Liverpool Universities. She advises on STEM outreach, chairs committees for gender equity (EDI), and promotes public engagement through talks at venues like the Royal Society and IEEE conferences.

Zi-Qiang Langمشاهده پروفایل

استاد

• Complex Systems Modelling
• Vibration Control
• Structural Health Monitoring
• +۴ مورد دیگر

Professor Zi-Qiang Lang holds the Chair in Complex Systems Analysis and Design at the University of Sheffield's Department of Automatic Control and Systems Engineering. He earned his BSc and MSc in Automatic Control in China and his PhD from the University of Sheffield. His career includes postdoctoral research, promotion to Lecturer (2003), Senior Lecturer (2008), and Reader (2010) before becoming Chair in 2013. Education: BSc and MSc in Automatic Control, China PhD in Automatic Control and Systems Engineering, University of Sheffield Research focuses on complex systems modeling, vibration control, structural health monitoring, wind turbine systems, chemical reactor optimization, digital manufacturing, and medical diagnostics using signal processing. Key applications include smart structures, medical diagnosis via electrical impedance spectroscopy, and energy systems. Notable grants include leadership on EPSRC-funded projects like SYSDYMATS (£1.6M), Nonlinear Logistic Analysis for Preterm Birth Prediction (£570K), and collaborations with industry via Innovate UK grants. His work spans academic and industrial partnerships, emphasizing data-driven solutions and machine learning integration. Labs/Teams: Leads interdisciplinary teams in systems analysis, structural health monitoring, and medical device development, often collaborating with industry partners like Zilico Ltd and academic networks in EU-funded initiatives.

• Circular Economy
• Sustainable Urban Development
• Climate Resilience
• +۷ مورد دیگر

Sara Torabi Moghadam is an Associate Professor in the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at the Polytechnic University of Turin. She serves as a Junior project manager and member of the Interdepartmental Center R3C - Responsible Risk Resilience Centre. Her research focuses on circular economy in built environments , smart resilient urban development , and participatory approaches . She teaches courses in PhD programs on Urban and Regional Development and Master's programs in Urban Planning , emphasizing ESG frameworks and decision-making for sustainable goals. Research Projects: Lead investigator of the EU-funded GREEN-INC project (2024-2026) addressing inclusive climate actions for nature-based solutions. Responsible for a PhD student funding project (2023-2026) in Urban and Regional Development. Teaching and Academic Roles: Member of the College of Architecture and Design and College of Planning and Design at Politecnico di Torino. Core instructor for courses like Decision Making for Sustainable Development Goals and Post-Carbon Sustainable Communities . Research Themes: Her work integrates GIS-based spatial analysis , multi-criteria decision tools , and participatory methodologies to address urban sustainability challenges. Key areas include energy efficiency in cities, nature-based solutions (NBS), and resilience against climate change. She emphasizes ESG frameworks and justice-oriented planning to ensure equitable urban transitions. Supervised Students: Guiding five PhD students in topics like climate resilience, NBS effectiveness, and sustainable urban scenarios. Labs/Teams: Active in the R3C Center, focusing on risk management and resilience strategies for urban systems. Collaborates with interdisciplinary teams on projects like the SCORE H2020 initiative for energy communities.

David Kirshمشاهده پروفایل

استاد

• Distributed Cognition
• Embodied Cognition
• Human-Computer Interaction
• +۴ مورد دیگر

David Kirsh is a Professor in the Department of Cognitive Science at the University of California, San Diego. He holds a D.Phil from Oxford University and completed post-doctoral work at MIT's AI Lab. His research focuses on distributed cognition, embodied cognition, and human-computer interaction, with specific interests in how environments shape cognitive processes and how physical objects become tools for thought. Key research areas include: Theory of Interaction: Examines how people adapt environments to simplify cognitive tasks Environment Design: Develops principles for designing collaborative spaces and smart rooms Information Architecture: Designs large-scale web systems and information spaces Dr. Kirsh directs the Interactive Cognition Lab and co-directs the Arthur C. Clarke Center for Human Imagination. His work bridges cognitive science with practical applications in workplace design, e-learning, and human-computer interaction.

Alexandra Chassanoffمشاهده پروفایل

استادیار

• Digital Curation
• Digital Preservation
• Archives and Records Management
• +۳ مورد دیگر

Dr. Alexandra Chassanoff is an Assistant Professor at the University of North Carolina at Chapel Hill's School of Information and Library Science (SILS). Her research focuses on born-digital cultural heritage, digital curation, and community-driven preservation strategies. She holds a PhD in Information Science from UNC Chapel Hill and previously served as a DLF/CLIR postdoctoral fellow in Software Curation at MIT. Education: BA, Brandeis University MS in Information Science, UNC Chapel Hill PhD in Information Science, UNC Chapel Hill Research Interests: Chassanoff explores digital preservation workflows, software curation in academic libraries, and the intersection of cultural heritage with emerging technologies. Her work emphasizes collaborative frameworks for ensuring long-term accessibility of digital materials, particularly through projects like the OSSArcFlow Guide and the BitCurator initiative. Awards: 2021 Society of American Archivists Preservation Publication of the Year for The OSSArcFlow Guide to Documenting Born-Digital Workflow Professional Contributions: She has led workshops on digital preservation pedagogy and contributed to initiatives like the DLF Born Digital Access Working Group. Her scholarship bridges technical preservation practices with community engagement strategies in cultural heritage institutions.

• Biomedical Informatics
• Data Science in Healthcare
• Machine Learning in Medicine
• +۳ مورد دیگر

Kenneth B Hoehn, PhD, is an Assistant Professor of Biomedical Data Science at the Geisel School of Medicine, Dartmouth College. His work focuses on applying data science methodologies to address challenges in healthcare and biomedical research. He holds a DPhil from the University of Oxford and a BS from Duke University. Education: DPhil in Biomedical Sciences, University of Oxford BS in Biological Sciences, Duke University Dr. Hoehn’s research interests include leveraging computational tools for biomedical data analysis, machine learning applications in clinical settings, and translational data science. His lab (hoehnlab.org) explores innovative approaches to integrate multi-omics data and electronic health records for precision medicine. No specific awards or grants are listed in the provided materials. His current affiliations include the Dartmouth Hitchcock Medical Center and other affiliated hospitals. Contact information is available at 1 Rope Ferry Road, Hanover, NH.

Stine Ejsing-Duunمشاهده پروفایل

دانشیار

• Technology education
• Gender equality in STEM
• Making in education
• +۶ مورد دیگر

Stine Ejsing-Duun is an Associate Professor at Aalborg University's Department of Sustainability and Planning, Technical Faculty of IT and Design. She contributes to the UN Sustainable Development Goals through research in Problem-Based Learning (PBL), technology education, gender equality in STEM, and making in education. She serves on the academic council, cooperation committee, and multiple steering/advisory boards. Specializes in humanistic informatics, design thinking, and educational technology Active in PBL research and implementation Focuses on K12 to higher education technology integration Her research explores generative AI applications in education, emotional intelligence development through teamwork, and technological literacy in science education. Recent projects include Generativ AI som ny faglighed i uddannelser på AAU and Building Emotional Intelligence in a PBL environment . She received the Top downloaded paper award in 2020. Supervises PhD student Anne Sofie Brodersen Lütken Active in workshops/seminars on playful learning approaches Participant in educational policy debates and media contributions

Mohamed Elbadawiمشاهده پروفایل

مدرس

• Artificial Intelligence in Healthcare
• 3D Printing in Medicine
• Drug Delivery Systems
• +۳ مورد دیگر

Dr. Mohamed Elbadawi is a Lecturer in Computational Physiology/Biomedicine at Queen Mary University of London's School of Biological and Behavioural Sciences. His research focuses on leveraging digital technologies like AI, robotics, and 3D printing to advance healthcare. He has received recognition as a Stanford Top 2% Scientist (2022-2023). Elbadawi holds a PhD in Mechanical Engineering from the University of Sheffield (2014-2017), an MSc in Biomedical Engineering from the University of Surrey (2012-2013), and a BSc in Pharmacology from the University of Bristol (2007-2010). His research interests include AI-driven drug discovery, 3D printing for precision medicine, bioelectronics for programmable drug delivery, and sustainability in pharmaceutical manufacturing. He leads modules like 'AI and Data Analytics in Physiology and Biomedicine' and 'Developing AI Solutions in the Biosciences.' Elbadawi has secured grants such as the £20,021 EPSRC-funded 'i-GREENPHARM' project and the £35,000 Innovate UK grant for 'Terpene enhancement of anxiolytic properties of cannabinoids.' He also collaborates with organizations like TSIP to develop community-focused AI solutions for medication management. His editorial roles include membership on the Frontiers in Industrial Microbiology editorial board. He actively publishes in journals like Materials Today Advances , ACS Sustainable Chemistry & Engineering , and International Journal of Pharmaceutics .

Amaranta Membrillo Solisمشاهده پروفایل

مدرس

• Geometric and Topological Data Analysis
• Algebraic Topology
• Metric Geometry
• +۷ مورد دیگر

Dr. Amaranta Membrillo Solis is a Lecturer in Mathematical Data Science at the School of Mathematical Sciences, Queen Mary University of London. Her research focuses on advanced mathematical methodologies intersecting topology, geometry, and data science. She holds a prominent position in geometric and topological data analysis, with expertise in soft materials modeling, persistence theory, and spectral geometry of singular spaces. Her work integrates algebraic topology with applications in materials science, including the analysis of metasurfaces and soft matter systems. Notable contributions include studies on Hodge spectra differentiation between orbifolds and manifolds, topological characterization of nanoparticle networks, and homotopy theory of gauge groups. She actively collaborates with interdisciplinary teams to bridge theoretical mathematics and practical applications in nanotechnology and molecular conformational analysis. Her publications span high-impact journals such as the Journal of Applied and Computational Topology , Michigan Mathematical Journal , and ACS Nano . She maintains an active research blog ( https://amarantamembrillosolis.wordpress.com ) and is engaged in computational projects leveraging topological methods for material science innovation.

Yangchao Luoمشاهده پروفایل

دانشیار

• Nanotechnology
• Food Science
• Nutritional Sciences
• +۳ مورد دیگر

Dr. Yangchao Luo is an Associate Professor in the Department of Nutritional Sciences at the University of Connecticut since August 2021. He previously served as an Assistant Professor (2014–2021) and held postdoctoral roles at the University of Tennessee and University of Maryland. He earned his Ph.D. in Nutrition and Food Science from the University of Maryland (2012), M.S. from China Agricultural University (2009), and B.S. from Hunan Agricultural University (2006). His research focuses on developing nanoscale delivery systems for nutrients using food-derived biomaterials, including nanoparticles, nanoemulsions, and hydrogels. Key areas include gastrointestinal stability of nanoparticles, bioavailability enhancement, and natural nanomaterial extraction. He has published extensively in journals like Nanoscale , Food Hydrocolloids , and International Journal of Biological Macromolecules . Dr. Luo holds editorial roles at Journal of Agriculture and Food Research (Editor-in-Chief) and International Journal of Biological Macromolecules , among others. He has received awards including the Goldhaber Travel Grant (2010) and Summer Research Fellowship (2011). His teaching portfolio includes courses like Food Colloids and Nanotechnology. Current and past students include Jingyi Xue, Qiaobin Hu, and Taoran Wang.

Oksana Zavalinaمشاهده پروفایل

استاد

• Information Organization
• Metadata Standards
• Digital Libraries
• +۵ مورد دیگر

Oksana Zavalina is a Professor at the University of North Texas, specializing in information organization, metadata standards, and digital library systems. She holds a Ph.D. and M.L.I.S. from the University of Illinois (Urbana-Champaign) and a B.S. in Library and Information Science from Kiev State Institute of Culture. Her work focuses on metadata quality evaluation, digital language archives, and interdisciplinary collaboration in cultural heritage preservation. Her research interests include information retrieval systems, semantic web technologies, and the application of metadata standards in diverse contexts. Notable projects include the LAMlang Arc Training Project and studies on AI-generated metadata accuracy. She has also explored metadata practices in Arabian Gulf academic libraries and audiovisual resources in Kuwaiti institutions. Zavalina has published extensively on metadata change analysis, digital library infrastructure, and user interactions with digital collections. Her work bridges library science, linguistics, and technology to address challenges in knowledge representation and preservation. She actively contributes to workshops on historical linguistic datasets and digital archive stewardship, emphasizing education and community engagement in archival practices.

Sabine von Meringمشاهده پروفایل

پژوهشگر

• Biodiversity Informatics
• Data Science
• Taxonomy
• +۶ مورد دیگر

Sabine von Mering is a Biological Data Scientist at the Museum of Natural History Leibniz Institute for Evolution and Biodiversity Science in Berlin, Germany. Her work focuses on opening up and connecting natural history collections with particular attention to collection agents, including marginalized groups, research expeditions, and linked entities such as objects, localities, publications, and archival material. Her research spans biodiversity informatics, data science applications in natural history collections, plant systematics (particularly of plant families like Caryophyllaceae and Juncaginaceae), and the ethical dimensions of collection management. Dr. von Mering is particularly known for her work on making collection data more accessible through linked open data standards and for her research on the historical context of collections, including colonial-era collecting practices. Opening up and linking type catalogues in Wikidata Wikidata for Botanists and Linked Open Data Research on women honored in plant genera Provenance research on collections from colonial contexts Community curation of research expeditions data She actively contributes to several major initiatives including the Collectors project, the FIND working group (Women in natural history), and the international WOMNH network. She also participates in the TDWG Task Group on Modelling Research Expeditions and the Distributed System of Scientific Collections (DiSSCo) initiative. Dr. von Mering's scientific work demonstrates a strong commitment to interdisciplinary collaboration and the application of modern data science techniques to traditional natural history questions. She has made significant contributions to understanding taxonomic relationships within plant families and to developing better data models for representing the complex histories of museum collections.

Gregory Doerkمشاهده پروفایل

پژوهشگر

• Self-assembly
• Block copolymers
• Nanofabrication
• +۵ مورد دیگر

Gregory Doerk is a Materials Scientist specializing in AI Accelerated Nanoscience at Brookhaven National Laboratory's Center for Functional Nanomaterials (CFN). As a key member of the Electronic Nanomaterials Group, he conducts cutting-edge research on self-assembly processes for nanofabrication applications. His work bridges fundamental polymer science with practical applications in energy, optics, and electronics manufacturing. Doerk earned his B.S. in Chemical Engineering from Case Western Reserve University (2005) and his Ph.D. in Chemical Engineering from the University of California, Berkeley (2010). His academic journey was complemented by philosophical studies that shaped his approach to scientific inquiry, recognizing both the power and limitations of scientific knowledge. Dr. Doerk's research focuses on directing the self-assembly of polymers to create tailored nano-architectures for optical, chemical, and energy applications. He specializes in block copolymer systems, developing combinatorial, high-throughput, and adaptive experimental methods to integrate self-assembly into scalable manufacturing processes. His work addresses the challenge of scaling block copolymer assembly to larger feature sizes (approaching 200nm) that can influence light for structural color applications, overcoming the natural limitations of traditional block copolymer systems. His 15 most recent publications reveal a strong trajectory toward AI-accelerated materials discovery, with increasing focus on autonomous experimentation, combinatorial approaches, and hierarchical structures. The research spans fundamental polymer science to applied nanotechnology, with applications in photonic materials, energy conversion, and advanced manufacturing. His work demonstrates a progression from basic self-assembly mechanisms to increasingly sophisticated systems incorporating machine learning and high-throughput methodologies. 2021 DOE Early Career Research Program award recipient As a senior scientist at CFN, Doerk mentors numerous users from academic and industrial institutions worldwide, helping them develop self-assembly processes for diverse applications ranging from microfluidics to biosensing. He has secured significant research funding, including the prestigious DOE Early Career award, and actively contributes to the scientific community through organizing workshops at major conferences including the American Physical Society March Meeting and the NSLS-II & CFN User Meetings. His collaborative approach has resulted in numerous interdisciplinary projects spanning multiple DOE facilities. Dr. Doerk leads research in the Electronic Nanomaterials group at CFN, where he operates specialized equipment for block copolymer self-assembly, solvent vapor annealing, and pattern transfer. His lab focuses on developing adaptive experimental methods that combine self-assembly with AI-driven discovery, creating a unique environment where traditional materials science intersects with cutting-edge computational approaches. The team regularly collaborates with researchers using Brookhaven's National Synchrotron Light Source II for in-situ characterization of self-assembly processes.

• Crystal Engineering
• Crystallization Processes
• Food Science
• +۴ مورد دیگر

Elena Simone is a Full Professor at the Department of Applied Science and Technology (DISAT) of Politecnico di Torino, Italy, where she serves as Vice Coordinator of the PhD programme in Chemical Engineering. She holds an ERC fellowship and leads the Crystallization & Crystal Engineering Laboratory. Her research integrates crystal engineering, process technology, and materials science for applications in food and pharmaceutical industries. Research Interests: Fundamental crystallization mechanisms and polymorph control Food and pharmaceutical crystal engineering Process analytical technology development Sustainable manufacturing of functional crystalline materials Particle design for emulsion stabilization and delivery systems Her recent publications (2023-2025) demonstrate strong focus on experimental and computational approaches to crystallization control, with applications spanning confectionery fats, pharmaceutical polymorphs, electrocatalysts, and emulsion systems. The work frequently employs advanced characterization techniques including synchrotron X-ray scattering. Awards & Leadership: Excellence Award in Crystallization 2017 (EFCE) Steering Committee Member: EFCE Crystallization Working Party Steering Committee Member: British Association of Crystal Growth Editor: Food and Bioproducts Processing Guest Editor: Crystal Growth & Design She currently supervises five PhD students and leads multiple research projects including the ERC-funded CryForm (2021-2026) on crystallization fundamentals, AdvinPro (2024-2026) on insect processing, and NewOilFactory (2024-2026) on crystalline oleogels.

Britta Nestlerمشاهده پروفایل

استاد

• Materials Science
• Computational Materials Science
• Phase-Field Modeling
• +۳ مورد دیگر

Prof. Dr. Britta Nestler serves as a Research Unit Chair at the Institute of Nanotechnology (INT) within the Karlsruhe Institute of Technology (KIT), Germany. Leading the Microstructure Simulations research group (INT-MSS), she focuses on computational modeling of mechanical and microstructural properties in materials, with significant contributions to phase-field methodologies for microstructure evolution and materials design. Her research spans computational materials science, phase-field modeling, and multiphysics simulations for energy storage systems. Key interests include chemo-mechanical coupling in multiphase systems, solid-state dewetting phenomena, battery electrode optimization, and microstructure-property relationships in polycrystalline materials. She integrates machine learning and data management frameworks to advance virtual materials design, particularly for post-lithium battery technologies. Recent publications reveal a strong emphasis on phase-field applications for energy materials, with 15+ 2025 articles addressing battery electrode design, structural optimization of porous materials, and multiphysics coupling in electro-chemo-mechanical systems. Her work bridges fundamental thermodynamics with industrial applications, notably in the POLiS Cluster of Excellence for post-lithium storage. Prof. Nestler actively shapes the field through leadership in the GAMM Workshop on phase-field modeling and the Materials/Microstructure Modeling conference. As part of KIT's Institute of Nanotechnology, her INT-MSS group collaborates on virtual materials design initiatives within the MaTeLiS Focus Field and NFDI4Ing research data infrastructure, driving digitalization in engineering sciences.