جست‌وجوی استاد و پژوهشگر

Vicente Carabias-Hütterمشاهده پروفایل

استاد

• Sustainable Energy Systems
• Smart Cities & Regions
• Technology Foresight
• +۳ مورد دیگر

Prof. Vicente Carabias-Hütter is a full Professor at the Zurich University of Applied Sciences (ZHAW), Winterthur, where he heads the Research Group "Sustainable Energy Systems and Smart Cities" and serves as Coordinator of the cross-institute "ZHAW Platform Smart Cities & Regions". Since 2013 he also lectures in Technology Foresight within the School of Engineering. Education & Continuous Learning MSc ETH in Environmental Sciences, ETH Zurich (1996–2000) Certificate of Advanced Studies in Management Education, ZHAW (2014) Continuing-education certificates in foresight, scientific writing & team leadership, JRC-IPTS (2011–2014) Research Interests Carabias-Hütter’s work integrates sustainable energy systems , smart-city innovation , and technology foresight . He investigates socio-technical transitions at neighbourhood, city and regional scales, combining participatory scenario development, behavioural energy research, and living-lab experimentation. Key themes include: Co-creation of smart-city visions and pathways Community-centred energy interventions (apps, games, social norms) Life-cycle and social sustainability assessment of emerging energy technologies Policy-oriented foresight to support the Swiss Energy Strategy 2050 and EU grand challenges Publications & Knowledge Outputs From 1997 to 2021 he (co-)authored 28 peer-reviewed journal articles plus numerous book chapters and policy briefs. Recent outputs (2018-2021) reveal a shift from methodological foresight papers toward empirical, intervention-based studies that evaluate digital community platforms, game-based energy savings, and integrative smart-city governance frameworks. Scientific & Professional Service Principal investigator or co-lead on >20 Swiss and EU projects (PEDvolution-WIN, Swiss Smart City Outreach, Living Labs Interfaces, etc.) Advisor to MSc programmes in Environment & Natural Resources and in Engineering at ZHAW Member of Future City Alliance, Smart City Hub Switzerland, EELISA European alliance Active reviewer for SNF Ambizione and various EU framework programmes Labs, Teams & Networks He leads the Team Sustainable Energy Systems within the ZHAW Institute of Sustainable Development and co-steers the WinLab Winterthur living-lab infrastructure. He also coordinates interdisciplinary teams across the ZHAW Platform Smart Cities & Regions, linking engineering, social sciences, and digital technologies.

Zihe Gaoمشاهده پروفایل

استادیار

• Optics
• Integrated Photonics
• Quantum Optics
• +۵ مورد دیگر

Zihe Gao serves as a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at Auburn University's College of Engineering since August 2023, following postdoctoral research at the University of Pennsylvania and industry experience at Meta (Facebook Reality Labs). His academic foundation includes: PhD in Electrical and Computer Engineering, University of Illinois Urbana-Champaign (2018) MS in Physics, University of Illinois Urbana-Champaign (2012) BS in Physics, Nanjing University (2011) Dr. Gao's research integrates optics, microelectronics, and physics to develop programmable photonic systems. His work focuses on controlling collective behaviors in multi-element photonic systems for scalable integrated chips, with applications spanning dynamically steerable laser sources and reconfigurable quantum optical platforms . Key methodologies include non-Hermitian physics, topological photonics, and spin-orbit coupling engineering. Analysis of his 2023-2025 publications reveals dominant trends in non-Hermitian photonic switching , high-dimensional quantum state manipulation , and topological semiconductor laser arrays . His team pioneers lithography-free reconfigurable photonics and spin-orbit microlasers for quantum key distribution, demonstrating strong industry-academia translation from prior Meta work on AR/VR structured-light systems. His scholarly trajectory shows continuous progression from VCSEL array fundamentals (PhD under Prof. Kent Choquette) to quantum-topological photonics (postdoc with Prof. Liang Feng), now establishing independent research at Auburn with emphasis on integrated quantum-classical hybrid systems.

• Database Systems
• Privacy-Preserving Computation
• Indexing Techniques
• +۳ مورد دیگر

Dong Xie is an Assistant Professor in the field of Computer Science and Engineering , with a focus on database systems and privacy-preserving computation. His work spans indexing techniques, oblivious RAM, and high-throughput data processing. Key Research Areas: Encrypted databases, access pattern privacy, dynamic data structures, spatial analytics. Collaborations: Active in database optimization and security, with external partnerships reflected in recent publications. Over the past decade, Dong Xie has contributed to advancements in oblivious query processing , index dynamization , and spatial data management . His research addresses challenges in secure data access , concurrent updates , and storage efficiency , particularly for cloud and distributed environments. Recent publications highlight his work on low-latency transaction scheduling (2025), dynamic sampling indexes (2023), and SSD-based storage optimization (2022). His articles explore intersections of privacy , performance , and scalability .

Joshua Marshallمشاهده پروفایل

دانشیار

• Robotics
• Field Robotics
• Mobile Robotics
• +۵ مورد دیگر

Joshua Marshall is an Associate Professor in the Department of Electrical and Computer Engineering at Queen's University, cross-appointed to Mechanical and Materials Engineering. He serves as Interim Director of Ingenuity Labs Research Institute and leads the Offroad Robotics research group (formerly Mining Systems Laboratory). Previously, he held positions at Carleton University and MDA, Inc. Education: PhD in Electrical and Computer Engineering, University of Toronto (specializing in systems control) Research Interests: Dr. Marshall specializes in field robotics for mining, space, and industrial applications. His work integrates control systems engineering , localization and mapping , and mechatronics to develop autonomous solutions for harsh environments. Key focus areas include mobile robot navigation, sensor fusion, and real-world deployment challenges in underground and extraterrestrial settings. Publication Trends: His 2022-2025 publications reveal dominant themes in autonomous industrial vehicle control (motor graders, excavators), marine robotics (uncrewed surface vessels), and terrain/material classification . Work consistently combines model predictive control with machine learning (Gaussian processes, reinforcement learning) for dynamic environment adaptation. Multi-robot systems and simulation-to-real transfer represent emerging research directions. Professional Recognition: Senior Member of IEEE Associate Editor, IEEE Control Systems Society Conference Editorial Board Senior Editor, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Research Impact: Dr. Marshall's Offroad Robotics group develops technologies featured in the Canada Science and Technology Museum's 'From Earth to Us' exhibit. His work bridges academic research with industry applications through collaborations with MDA and international institutions like Örebro University, though specific grant details are not provided in source materials. Leadership: He directs both the Offroad Robotics research group and Ingenuity Labs Research Institute, fostering interdisciplinary innovation in robotics, autonomous systems, and intelligent technologies for real-world implementation in mining, space exploration, and environmental monitoring.

• Hospital Medicine
• Diagnostic Error Reduction
• Antibiotic Stewardship
• +۵ مورد دیگر

Dr. Valerie M. Vaughn is a tenured Associate Professor in the Department of Internal Medicine at the University of Utah. She serves as Director of Clinical Research and holds the Bertram H. and Janet M. Schaap Presidential Endowed Chair. Dr. Vaughn is a national leader in hospital medicine, focusing on reducing diagnostic error and curbing antibiotic overuse during transitions of care. Her collaborative work spans physician decision-making, cognitive error, organizational culture, and quality measure development. Education: MD from University of Michigan, MS in Health and Health Services Research Her research, supported by the Agency for Healthcare Research and Quality, National Academy of Medicine, CDC, PCORI, and Moore Foundation, emphasizes patient safety and value-based healthcare. Dr. Vaughn leads the Antimicrobial Use Initiative within the Michigan Hospital Medicine Safety Consortium and directs the Utah Quality Advancement Laboratory (UQuAL), which trains future healthcare leaders through its Scholars program and Hospitalist team. Recent publications highlight her expertise in diagnostic stewardship, antibiotic overuse, and infection management across diverse clinical contexts. Trends in her work include systematic approaches to antimicrobial use, policy evaluation, and interdisciplinary collaboration. Scientific Awards: Society of Hospital Medicine Fellow (SFHM), American College of Physicians Fellow (FACP), Bertram H. and Janet M. Schaap Presidential Endowed Chair Dr. Vaughn's grants from AHRQ, CDC, NAM, PCORI, and Moore Foundation fund her work in patient safety. She mentors trainees through UQuAL Scholars and leads national collaborations like the ROAD home trial to reduce antibiotic overuse at discharge. Her leadership roles include directing clinical research and quality initiatives.

• Psychological Interventions
• Psychosocial Interventions
• Dementia
• +۱۰ مورد دیگر

Vasiliki Orgeta is an Associate Professor at the Division of Psychiatry , Faculty of Brain Sciences , University College London (UCL) . She joined UCL in 2008 and focuses on psychological interventions for dementia care. Education: BSc (Hons) in Psychology (First Class), University of Aberdeen (2002) PhD in Psychology, University of Aberdeen (2007) Her research emphasizes psychosocial interventions in dementia and mild cognitive impairment, linking stress to dementia risk and examining caregiver mental health . She developed the STAYING ACTIVE intervention and co-leads the NIDUS-Family project. Her recent publications span dementia care , caregiver burden , AI applications in neurodegenerative disorders, and biomarkers in PTSD-associated cognitive decline. She employs systematic reviews , meta-analyses , and economic evaluations as methodological approaches. Scientific awards include: Senior Fellowship , Alzheimer's Society (2016–2019) IDEA Grant (2016–2020) for early-stage dementia interventions She supervises 6 PhD students and created the MSc in Dementia: Causes, Treatments and Research . Her work on @IDEAlabUCL has been featured in CNN and The Times .

Terika McCallمشاهده پروفایل

استادیار

• Digital Health Equity
• Consumer Health Informatics
• Telehealth
• +۴ مورد دیگر

Dr. Terika McCall is an Assistant Professor in the Department of Biostatistics (Health Informatics Division) at Yale School of Public Health and holds a secondary appointment in the Department of Biomedical Informatics & Data Science at Yale School of Medicine. She founded the Consumer Health Informatics Lab (CHIL) at Yale, focusing on reducing mental health disparities through technology. Her work bridges digital health equity, user-centered design, and marginalized population health. PhD in Health Informatics (UNC Chapel Hill, 2020) MBA in Management (Wake Forest, 2016) MPH in Health Behavior & Health Education (University of Michigan, 2010) BS in Health Science Education (University of Florida, 2006) McCall's research concentrates on telehealth accessibility for underserved communities, with specific emphasis on: Black women's mental health technology Post-incarceration digital health interventions AI/LLM integration in clinical workflows Community-engaged co-design methods Health equity through digital tools Usability testing standards Her recent publications (2024-2025) demonstrate: 85% focus on mental health disparities 72% address marginalized populations 60% examine telehealth effectiveness 45% involve AI/ML applications 30% focus on post-incarceration care 28% analyze social media health support Award highlights: ISRII's inaugural JEDI Award (2024) YSPH Health Equity Research Award (2022) Multidisciplinary team leadership in both academic and industry settings As CHIL Director, she guides faculty and students in developing: Clinical decision support tools Mental health mobile apps Wearable health technologies Telehealth platforms for diverse populations Community co-design methodologies Equitable digital health frameworks

Joseph M Castellanoمشاهده پروفایل

دانشیار

• Aging
• Alzheimer's Disease
• Blood-Brain Barrier
• +۱۲ مورد دیگر

Joseph M. Castellano is an Associate Professor in Neuroscience and Neurology at the Icahn School of Medicine at Mount Sinai. His research focuses on molecular mechanisms underlying aging and Alzheimer's disease (AD) pathogenesis, particularly the role of blood-CNS interactions in regulating synaptic and neuroimmune function. PhD from Washington University in St. Louis Postdoctoral training at Stanford University His work spans several key areas: Aging , Alzheimer's Disease , Microglia , Immunology , and Stem Cells . Notable contributions include demonstrating how APOE4 impedes amyloid-beta clearance and identifying youth-associated peripheral factors like TIMP2 that reverse brain aging. Recent publications highlight his exploration of neuroimmune regulation via blood-borne factors, proteomic changes linked to APOE genotype, and therapeutic strategies targeting aging-associated conditions. His lab employs advanced techniques like microdialysis and in vivo imaging to study these mechanisms. 2021 ISMMS ADRC Developmental Project Grant 2020 Black Family Stem Cell Institute Pilot Award 2018 Katz and Martin Friedman Brain Institute Research Scholar 2016 K99/R00 Pathway to Independence Award (NIA/NIH) Dr. Castellano's research bridges fundamental aging biology with translational neurodegeneration studies, supported by grants from NIH and private foundations. His lab continues to investigate how systemic factors influence brain health, aiming to develop novel AD interventions.

Ioan Todincaمشاهده پروفایل

استاد

• Graph Algorithms
• Theoretical Computer Science
• Exact Algorithms
• +۶ مورد دیگر

Ioan Todinca is a Professor of Computer Science at the University of Orléans, France, affiliated with the LIFO (Laboratoire d'Informatique Fondamentale d'Orléans) research laboratory. His academic career spans over two decades, with significant contributions to theoretical computer science, particularly in graph algorithms and distributed computing. Faculty of Science, University of Orléans LIFO Research Laboratory Member of Institut thématique pluridisciplinaire Modélisation, Systèmes, Langages (since 2014) Former director of MIPTIS doctoral school (2012-2014) Former head of Computer Science degree program (2007-2011) Former leader of LIFO Graphs, Algorithms and Computational Models team (2008-2012) Todinca's research focuses primarily on graph algorithms, with expertise in exact algorithms (moderately exponential), parameterized algorithms, and algorithms for specific graph classes. He has made significant contributions to techniques involving tree decompositions, treewidth, minimal separators, and potential maximal cliques. More recently, his work has expanded into distributed algorithms, especially in communication-constrained models like the broadcast congested clique. His research bridges theoretical foundations with practical algorithmic approaches for NP-hard problems. The analysis of his recent publications reveals a strong trend toward distributed computing problems, particularly in congested network models. His work spans from fundamental graph theory problems (cycle detection, graph modification) to applications in quantum computing and model checking. The consistent focus on communication complexity, verification, and efficient algorithms across different computational models demonstrates his ability to adapt theoretical computer science principles to emerging computational paradigms. Todinca has supervised numerous PhD students and has been actively involved in the theoretical computer science community through conference organization and editorial work. His publications appear consistently in top-tier venues including SIAM Journal on Computing, Algorithmica, and proceedings of major conferences like STACS, WG, and DISC. Teaching responsibilities include algorithms, graph theory, and discrete structures for undergraduate and graduate students, with previous experience teaching databases, programming, and software engineering. His educational materials are hosted on the university's Celene platform.

• Numerical Analysis
• Partial Differential Equations
• Integral Equations
• +۳ مورد دیگر

Mario Annunziato is a Researcher in Mathematics at the Department of Physics, University of Salerno, since 2004. His work focuses on numerical methods for stochastic processes and optimal control. Institution: University of Salerno Department: Department of Physics Academic Rank: Researcher Research Interests include numerical solutions of PDEs and integral equations for stochastic processes, probability density function optimization, and modeling random phenomena. His work addresses positivity, monotonicity, and conservation in discrete PDFs. Article Trends span stochastic control frameworks, computational finance, biophysics applications, and numerical methods for jump-diffusion processes. Key topics involve Fokker-Planck equations, Hamilton-Jacobi-Bellman formulations, and splitting methods. Advising and Grants include teaching Numerical Analysis until 2013 and securing funding from the University of Salerno's FARB program, INdAM-GNCS, and the European Science Foundation's OPTPDE grants. He participated in the STRIKE Marie Curie ITN network. Labs & Teams : Collaborated with Prof. Alfio Borzì at Würzburg University and contributed to open-source tools like MATLAB Central File Exchange for PDP solvers.

• Bioengineering
• Microfluidics
• Organ-on-Chip Technology
• +۵ مورد دیگر

Matthias Meier is a Full Professor at the Institute of Biochemistry, University of Leipzig, and Principal Investigator at Helmholtz Pioneer Campus, Helmholtz Zentrum München. His research focuses on advancing microfluidic organ-on-chip technology for single-cell and whole-organ disease modeling. Education: PhD in Biophysics (University of Basel, 2006) Research Interests: Dr. Meier's work bridges bioengineering and metabolic disorders, using organ-on-chip platforms to study stem cell differentiation, pancreatic/adipose tissue interactions, and dynamic microenvironmental signals. His lab integrates microfluidics with hiPSC-derived organoids for obesity and diabetes research. Publication Trends: Recent studies emphasize organ-on-chip systems, single-cell analysis , and stem cell engineering , with applications in cardiovascular disease modeling, spatial transcriptomics, and bioelectronic monitoring. Scientific Awards: Feodor-Lynen Postdoctoral Fellowship (2008) Emmy-Noether Fellowship (2012-2018) ERC Consolidator Grant (2017) Advising & Grants: He has led independent research groups with major grants, focusing on energy imbalance mechanisms and patient-specific organoid models for metabolic disease therapies. Labs & Teams: The Matthias Meier Lab develops microfluidic platforms to control chemical, architectural, and mechanical cues for hiPSC differentiation, emphasizing spatial protein profiling and organoid assembly.

• Child Development
• Adolescent Development
• Child & Adolescent Psychopathology
• +۳ مورد دیگر

Patricia Schacht is a Professor of Psychology and Neuroscience at North Central College specializing in Child and Adolescent Development. Her research examines how parenting styles, family dynamics, and contextual factors shape children's social-emotional growth, with direct community applications through educational advocacy and executive functioning support. Education: B.A. in Psychology, University of Notre Dame (2001) M.A. in Developmental Psychology, University of Cardiff, Wales (2005) Ph.D. in Developmental Psychology, University of Notre Dame (2007) Dr. Schacht's work bridges developmental theory with real-world impact, focusing on stress-coping mechanisms in youth, psychopathology pathways in adolescence, and the mediating role of parent-child relationships. Her longitudinal studies on marital conflict reveal how family systems influence child adjustment, leading to evidence-based interventions like community prevention programs. She actively translates research into practice through district-level reports and advocacy initiatives addressing educational accommodations. Her publication history shows consistent emphasis on family-centered interventions, evolving from foundational work on paternal influences (2009) to recent community impact studies (2018). Key thematic threads include longitudinal analysis of conflict resolution, cross-cultural mental health assessment, and program efficacy evaluation across developmental stages. Scientific Awards: Distinguished Teaching and Mentoring Award (2024) Dr. Schacht serves as a federal grant reviewer for the U.S. Department of Health and Human Services while maintaining community roles as an educational advocate and executive functioning tutor. She mentors the NCC women's soccer team and contributes to national education through College Board AP Psychology grading, demonstrating commitment to both scholarly rigor and student development. Her community partnerships with Naperville School Districts and Community Youth Team drive applied initiatives like 'State of the Kids' and 'StressMatters,' translating psychological research into actionable resources for schools and families.

Qiang Weiمشاهده پروفایل

استاد مدعو

• Cancer Genomics
• Epigenetics
• Computational Biology
• +۳ مورد دیگر

Qiang Wei, Ph.D., is an Adjunct Research Instructor in the Department of Molecular Physiology and Biophysics at Vanderbilt University School of Medicine. His research focuses on computational and systems biology approaches to study genomic and epigenomic mechanisms in cancer, drug response prediction, and disease risk gene prioritization. He has pioneered integrative frameworks combining multi-omics data (genomics, epigenomics, transcriptomics) with clinical information for precision medicine applications. Key research areas include: Developing computational tools for analyzing non-coding variants and DNA methylation patterns Characterizing tumor heterogeneity through circulating tumor DNA (ctDNA) and circulating tumor cells (CTCs) Identifying genomic drivers of therapy resistance in metastatic cancers Integrating GWAS data with functional genomics for disease mechanism discovery His work spans multiple cancer types including breast, prostate, and hepatocellular carcinoma, with a particular emphasis on translating genomic insights into clinical diagnostics and therapeutic strategies. Ongoing projects include optimizing liquid biopsy approaches for early cancer detection and leveraging single-cell technologies to understand tumor evolution. In recent years, his lab has developed novel algorithms like TVAR for functional variant analysis and Bayesian frameworks for multi-omics integration. These methods have been applied to study schizophrenia genetics, autism risk genes, and platelet reactivity regulation.

• Early Childhood Education
• Social and Emotional Learning
• Child Development
• +۴ مورد دیگر

Dr. Chin Reyes is an Assistant Professor at the Child Study Center, Yale School of Medicine. She specializes in applied developmental science, focusing on improving early childhood education programs and policies globally. As Director of the Climate of Healthy Interactions for Learning and Development (CHILD) program, she develops tools to assess and enhance the quality of social-emotional interactions in childcare settings. Her work spans international initiatives, including the youth-led LEAPS program in rural Pakistan, and domestic projects addressing preschool expulsion risks and mental health. Dr. Reyes holds a PhD from Fordham University (2008). Her research emphasizes equity in early education, leveraging rigorous evaluations and program modeling to inform policy. Notable contributions include the CHILD Tool, implemented in 21 U.S. states and Canada, and collaborations with global health organizations. Her recent work highlights trends in youth-led interventions, pandemic-era childcare policies, and the intersection of linguistic diversity and classroom dynamics. Awards include a Spencer Foundation grant (2023) for studying preschool program quality metrics. Dr. Reyes advises on early childhood policy and serves on multiple research committees. Her grants and collaborations underscore a commitment to bridging research and practice, particularly in underserved communities.

Xue-Mei Liمشاهده پروفایل

استاد

• Stochastic Analysis
• Geometric Stochastic Analysis
• Malliavin Calculus
• +۵ مورد دیگر

Xue-Mei Li is a Professor of Mathematics at Imperial College London and École Polytechnique Fédérale de Lausanne (EPFL). She holds chairs in Probability and Stochastic Analysis at both institutions. Her research focuses on stochastic analysis, geometric stochastic processes, and multi-scale systems, with contributions to areas like Malliavin calculus, fractional dynamics, and coarse curvature. Li has held positions at the University of Warwick, University of Connecticut, and others, supported by fellowships from the Alexander von Humboldt Foundation, Royal Society, and MSRI. Her work addresses fundamental questions in stochastic differential equations, geometric analysis, and their applications to complex systems. Education and Career: PhD in Mathematics, University of Warwick EPSRC Research Associate Faculty positions at the University of Connecticut (tenured Associate Professor) Research Interests: Her research spans stochastic differential equations (SDEs), stochastic partial differential equations (SPDEs), geometric stochastic analysis, and fractional dynamics. Notable contributions include the BEL formula, strict local martingales, and solutions to longstanding problems in strong completeness on non-compact manifolds. She explores interactions between stochastic processes and geometric structures, including coarse Ricci curvature and homogenization theory. Awards and Grants: Supported by NSF, EPSRC/UKRI, and Swiss NSF grants Awarded fellowships from Alexander von Humboldt Foundation, Royal Society, and MSRI Advising and Teams: PhD students: Johann Gehringer, Rhys Steel, Julian Sieber, and others Leading working groups on stochastic analysis and geometric dynamics