Patricia Clayton, Ph.D., PE, is an Associate Professor specializing in structural and natural hazards engineering. Her office is located at 455 Vine Street, Bldg 60 South, Rm 4512, and she can be reached via phone at 336.702.1924. She holds a B.S. in Civil Engineering from North Carolina State University (2007), an M.S. (2010) and Ph.D. (2013) in Civil Engineering from the University of Washington. Her research focuses on: Hazard-resistant structural technologies Multi-scale modeling of natural hazard impacts Applications of 3D printing in construction Computational modeling and data analysis Small-scale structural testing methodologies She maintains active investigations in earthquake engineering and structural resilience. Recent publications (2022-2025) demonstrate three primary research streams: Structural Seismic Performance : Innovations in steel connections, composite systems, and deployable structures Engineering Education : Remote teaching pedagogy and inclusive curriculum development Disaster Technology : AI-enhanced damage assessment and field instrumentation Her work consistently integrates experimental validation with practical applications.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۷۳۶-۷۵۰ از ۷٬۴۹۵ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
- U.S. National Security Policy
- Regional Conflict and State Disintegration
- Ethnic and Religious Violence
- +۴ مورد دیگر
Richard Shultz is the Shelby Cullom Davis Professor of International Security Studies and Director of the International Security Studies Program (ISSP) at The Fletcher School, Tufts University. His work focuses on U.S. national security policy, irregular warfare, special operations, and intelligence strategy. He holds a PhD in Political Science from Miami University. Shultz has held distinguished academic chairs, including at the U.S. Military Academy and Naval War College, and serves as a Senior Fellow at the Joint Special Operations University. His recent research examines military innovation in counterinsurgency, AI’s role in warfare, and security sector reform. Notable publications include *Transforming US Intelligence for Irregular War* (2020) and *Big Data at War* (2020). Shultz’s research emphasizes adapting U.S. security paradigms to non-state threats and 21st-century warfare. His articles analyze Task Force 714’s Iraq operations, AI integration in military strategy, and counterterrorism tactics. Awards include the Bradley Fellowship and Scaife Foundation support. He advises U.S. agencies and teaches courses on intelligence policy, irregular warfare, and crisis management. Grants include funding from the Smith Richardson Foundation and Deloitte for projects on China’s South China Sea strategy and malign influence detection. Shultz leads ISSP, which trains students in national security careers through curriculum development, crisis simulations, and military fellowships. He has conducted fieldwork globally, including in the Middle East and NATO regions, teaching special operations strategies to foreign militaries. Labs/teams include collaborations with SOCOM, JSOU, and the Marine Corps on irregular warfare and AI-driven intelligence systems.
Farzan Kazemifar is an Associate Professor and Associate Chair in the Department of Mechanical Engineering at San José State University, where he also serves as Director of the SJSU Industrial Assessment Center. His academic background includes a Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign, an M.Sc. in Mechanical Engineering from the same institution, and a B.Sc. in Mechanical Engineering from Sharif University of Technology. Dr. Kazemifar's research focuses on thermal energy systems and energy efficiency in buildings, with specialized expertise in multiphase flow, porous media dynamics, and carbon capture technologies. His work integrates experimental methods with theoretical modeling to address challenges in sustainable energy and environmental applications. His 15 most recent publications demonstrate a consistent focus on fluid dynamics in porous media, particularly examining CO2-water interactions for carbon sequestration applications. These studies utilize advanced micro-PIV techniques to quantify flow phenomena at pore scales, contributing to improved understanding of multiphase flow regimes under reservoir conditions. Dr. Kazemifar directs the Industrial Assessment Center, which focuses on energy efficiency solutions for industrial applications. No information is available regarding student advising, research grants, or specific laboratory facilities.
Cleo Valentineمشاهده پروفایل
پژوهشگر
Cleo Valentine is a Vice Chancellor's Doctoral Scholar at the University of Cambridge and Senior Design Researcher in Neuroarchitecture at HKS. Affiliated with the Department of Architecture and Computational Neuroscience Group, her work establishes the field of architectural neuroimmunology , investigating how architectural forms mediate neuroinflammatory responses. She lectures at Politecnico di Milano and Harvard University, and contributes to editorial boards of Intelligent Buildings International and Buildings . Education: MPhil in Architecture and Urban Studies (Cambridge), MSc in Sustainable Urban Development (Oxford), BA in Urban Systems and Economics (McGill/Copenhagen) Research Affiliations: UCL Spatial Cognition Lab, MIT Department of Urban Studies and Planning, Cambridge Design Engineering Centre Her research combines neuroimmunology , computational neuroscience , and biophilic design to demonstrate how architectural features like curvature, proportions, and enclosure affect allostatic load and neuroinflammation . Key findings show that biomorphic design reduces neuroinflammatory activity, with implications for urban health policy and architectural ethics. Recent publications analyze visual stress in architectural façades , epigenetic consequences of urban design , and neuroethical frameworks for architectural practice. She advocates for human-centric design tools to balance creative expression with neurophysiological health impacts. Scientific Awards: Vice Chancellor's Doctoral Scholarship (Cambridge), Cambridge Trust funding, Wolfson College support, Harvard Visiting Fellowship Partnerships: Heatherwick Studio’s Humanise Campaign, UCL/RISE Centre for NeuroArchitecture, Beautiful Places AI Her work intersects with the Mind Body Space International Symposium , ANFA Conference , and International Making Cities Livable Conference , emphasizing cross-disciplinary collaboration to redefine architecture’s role in public health.
- Environmental Geomechanics
- Geotechnical Engineering
- Mechanics of Multiphase Porous Materials
- +۲ مورد دیگر
Lyesse Laloui is Full Professor and Director of the Soil Mechanics Laboratory at EPFL's School of Architecture, Civil and Environmental Engineering. A world-renowned expert in geomechanics and sustainability, his research develops nature-inspired solutions for climate change mitigation and renewable energy adoption. His distinguished career includes ERC Advanced and Proof of Concept Grants, two honoris causa doctorates, and leadership roles in Academia Europaea and International Society of Soil Mechanics. Research focuses on: Thermo-hydro-mechanical behavior of energy geostructures Bio-inspired geotechnical solutions for soil improvement Radioactive waste repository safety CO₂ sequestration caprock integrity Urban underground space utilization Recent publications demonstrate innovations in geothermal metro station design, shale behavior characterization for energy applications, and bio-mediated soil stabilization. His laboratory has supervised over 35 PhD graduates now advancing geotechnical engineering globally. Professor Laloui founded 5 EPFL spin-offs including Enerdrape (Swiss Top 100 startup) and serves as European Director of the International Associated Research Centers for Urban Underground Space. His awards include the ASCE Kersten Lecture and InterPore Kimberly-Clark Distinguished Lectureship.
Anne Templetonمشاهده پروفایل
مدرس ارشد
Anne Templeton serves as a Senior Lecturer in Social Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. She holds a UKRI Future Leaders Fellowship and leads the research group Identities and Collective Behaviour . Her academic journey includes a PhD from Sussex, MSc from Surrey, and MA (hons) from St Andrews. Her research centers on applying social identity theory to crowd psychology, particularly examining how group dynamics influence safety during emergencies and mass events. Key focus areas include: psychological crowd modeling, first responder communication strategies, and incorporating social identities into evacuation simulations. She develops behavioral interventions to improve public adherence during crises through computational modeling and virtual reality experiments. Her 15 most recent publications reveal strong thematic consistency across emergency management, crowd dynamics, and social identity applications. Recent work emphasizes high-rise evacuation protocols, tunnel fire egress, COP26 protest support mechanisms, and bystander CPR interventions. The research demonstrates interdisciplinary integration of psychology, computational modeling, and public safety practice. Scientific Recognition: UKRI Future Leaders Fellowship (2022) Research Leadership: Principal Investigator for ESRC, DCMS, and Chief Nursing Office grants totaling over £1.8 million, including the £1.377m UKRI project on first responder communication strategies. Current supervision of four PhD students (Waleed Alhajri, Sam Vo, Sayaka Hinata, Kayleigh Smith). Her knowledge exchange extends through government advisory roles including the Scottish Government COVID-19 Behavioural Insights team (2021-2022), UK Department of Digital, Culture, Media and Sport Science Board (2021), and Sports Grounds Safety Authority consultation (2020). Media engagements feature BBC, Reuters, and The Conversation coverage of Hajj crowd safety and stadium atmosphere research.
Monica Kohlerمشاهده پروفایل
استاد پژوهشی
Monica Kohler is a Research Professor in the Department of Mechanical and Civil Engineering at the California Institute of Technology (Caltech). She holds a B.A. from Harvard University (1988) and a Ph.D. from Caltech (1995). Prior to her current role, she served as an Assistant Research Engineer at UCLA (1998–2011), Visiting Associate at Caltech (2007–2011), and Research Assistant Professor (2011–2017). Her work focuses on earthquake engineering, seismic tomography, and structural health monitoring using advanced sensor technologies. Her research integrates observational seismology and engineering principles to detect damage in buildings and infrastructure through dense sensor networks like the Community Seismic Network (CSN). Projects include developing methods for damage identification using seismic data, tsunami early warning systems, and real-time monitoring of urban vibrations from human activity (e.g., concerts). Key areas of exploration include earthquake-induced building response, wave propagation analysis, and the application of Bayesian learning and Gaussian process regression for ground-motion modeling. She advises graduate students at UCLA in civil engineering and collaborates on interdisciplinary projects involving oceanography, structural dynamics, and computational modeling. Her contributions span over 150 publications, including studies on the 2019 Ridgecrest earthquakes, tsunami wavefront mapping, and high-rise structural identification. She also leads efforts to deploy seafloor sensors and improve early warning systems for natural disasters. Labs/Teams: Active in the Caltech CSN project, structural health monitoring initiatives, and tsunami hazard research groups. Her team includes researchers like Viviana Vela, Gloria Hyun, and Richard Guy.
Juliana Felkner is an academic affiliated with ETH Zurich, primarily associated with the Department of Architecture within the School of Architecture, Civil and Environmental Engineering. Her research focuses on integrating structural efficiency with energy performance in tall buildings, emphasizing multi-objective optimization and sustainable design principles. Key contributions include studies on embodied vs. operational energy in buildings, structural design frameworks balancing sustainability and efficiency, and interactive optimization techniques using NURBS curves and Particle Swarm Optimization (PSO). Her doctoral thesis (2016) explored multi-objective design strategies addressing structural, environmental, and architectural considerations. Felkner has published extensively on topics such as energy lifecycle analysis, natural ventilation potentials, and computational design methods. Her work highlights the importance of reducing operational energy in existing building stocks to mitigate greenhouse gas emissions. Awards and grants are not explicitly mentioned in the provided texts, but her peer-reviewed publications indicate active engagement in academic research and collaboration across disciplines.
Alireza Jaribionمشاهده پروفایل
استاد مهمان
- Digital Twin
- Internet of Things
- 3D Printing
- +۴ مورد دیگر
Alireza Jaribion is a Visiting Professor in the Department of Industrial Engineering and Management at Aalto University. His research focuses on digital technologies in operations management, including Digital Twin applications, IoT integration, and additive manufacturing. He holds a PhD in Production Economics (Tekn. toht., tuotantotalous) from Aalto University (2025) and a Master's in Engineering and Technology from Islamic Azad University Dubai (2015). Key research interests include leveraging emerging technologies like NFTs for IPR protection in manufacturing, analyzing mega hackathons for innovation mechanisms, and exploring digital twins for safety and energy management. His work addresses sustainable supply chains, crisis logistics during pandemics, and IoT-enabled smart environments such as saunas and older homes. Notable contributions include case studies on hydrogen safety systems, bio-based packaging impacts, and energy management in smart buildings. He has presented at international conferences on topics ranging from bio-plastics supply chains to crowdsourcing in tech events. Research collaborations span academic and industry partners, with a focus on芬兰 institutions and international networks. Media coverage includes discussions on hackathon innovation mechanisms featured in technology publications.
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Kyle Konisمشاهده پروفایل
دانشیار
Kyle Konis is an Associate Professor of Architecture and Director of the Chase L. Leavitt Master of Building Science Program at the University of Southern California's School of Architecture. He holds a Ph.D. in Architecture (Building Science) from UC Berkeley, an M.Arch from Yale University, and a B.A. in Architectural Studies from the University of Washington. His research focuses on aligning building performance with human needs through participatory evaluation techniques, data-driven design tools, and evidence-based practices in sustainability and healthcare environments. Prof. Konis has led six externally funded research projects, including grants from the AIA Upjohn Initiative and California Energy Commission. His work emphasizes occupant-centric design, with notable contributions to daylighting strategies, circadian lighting in dementia care facilities, and energy-efficient building systems. He is a licensed architect in Washington and California. Education: B.A. Architectural Studies, University of Washington M.Arch, Yale University Ph.D., Architecture (Building Science), UC Berkeley His research interests include sustainable building practices, occupant well-being, and the application of technology to improve design outcomes. Notable projects include studies on thermal comfort databases, participatory sensing frameworks (TrojanSense), and circadian design tools. He has authored or co-authored over 30 peer-reviewed articles and a Springer-published book on daylighting. Awards: 2016 ARCC New Researcher Award 2015 ACSA New Faculty Teaching Award 2015 ACSA Housing Design Education Award 2015 BTES Emerging Faculty Award Prof. Konis teaches courses on architectural sustainability, environmental systems, and interactive computing in design. His lab integrates real-world data collection with computational modeling to bridge gaps between design intent and building performance. Ongoing work explores climate-responsive interventions for at-risk communities and the role of lighting in mental health contexts.
Zsuzsa Horvathمشاهده پروفایل
دانشیار
Zsuzsa Horvath, PhD, is an Associate Professor in the Department of Dental Public Health and Director of the Office of Academic Career Advancement at the University of Pittsburgh School of Dental Medicine. She holds a PhD from the University of Pittsburgh (2009), specializing in education and teacher training. Her work focuses on curriculum development, faculty development, mentoring programs, and innovative educational initiatives. Dr. Horvath pioneered the Academic Career Track Area of Concentration (ACT ARCO) program, a two-year certificate program for pre-doctoral dental students aiming to become educators. This program, launched in 2016, has gained national and international recognition, including the William J. Gies Award for Outstanding Vision. She also co-founded a student peer-tutoring program and directed the NIH-funded Center of Excellence on Pain Education, creating online pain management modules for healthcare providers. In leadership roles, she oversees faculty development, mentoring programs, and clinical assessment initiatives. As a certified coach, she offers career and leadership coaching to faculty and students, integrating these into academic programs. Her research spans dental education, faculty development, and interdisciplinary training, with over 15 peer-reviewed publications. Her awards include the 2021 Chancellor’s Distinguished Teaching Award and the 2020 William J. Gies Award. She has led grants funded by NIH, ADEA, and other organizations, advancing educational innovation and healthcare provider training.
Jarek Nabrzyski is the founding and current director of the Center for Research Computing (CRC) at the University of Notre Dame and a concurrent Professor in the Department of Computer Science and Engineering. He co-directs the Blockchain Research Lab with Ian Taylor and leads the Quantum Computing Lab. His research focuses on distributed ledger technologies, quantum computing, and resource management in distributed, cloud, and exascale systems. He has overseen over 50 national and international research projects developing cyberinfrastructure for science and industry, emphasizing collaboration and team-building in complex projects. Key areas of research include blockchain applications in decentralized systems, quantum algorithm optimization for near-term hardware, and cybersecurity protocols for data integrity. He actively engages in interdisciplinary initiatives like the Center for Social Science Research and has pioneered frameworks for verifiable credentials and reproducible scientific data. His work bridges theoretical advancements with practical industry partnerships. Notable contributions include hybrid cross-chain protocols, quantum Poisson solvers, and frameworks for blockchain trust analytics. His recent publications highlight advancements in AI-driven blockchain stabilization, suspicious transaction detection, and scalable quantum computing solutions. Despite no explicit mentions of awards, his leadership roles and project count underscore significant contributions to computational science and infrastructure. As a mentor, he fosters student engagement in cyberinfrastructure through initiatives like the Cyberinfrastructure Center of Excellence. His labs and collaborations drive innovation in quantum computing, blockchain interoperability, and high-performance computing systems. Current efforts include transparent data tracking for aerospace supply chains and secure scientific data reproducibility.
Rasmus Waagepetersen is a Professor in the Department of Mathematical Sciences at Aalborg University, affiliated with The Faculty of Engineering and Science. His research focuses on spatial statistics, quantitative genetics, and statistical methodology for spatial point processes. He leads and participates in interdisciplinary projects such as urbanLab (spatial data analysis for urban planning) and studies on microbiome interactions in agricultural systems. Key research areas include spatial point processes, Markov chain Monte Carlo methods, and statistical inference for complex ecological and biomedical data. His work frequently involves collaborations with environmental and biological scientists, as seen in projects analyzing root microbiota assemblies in legumes and climate data for building simulations. Waagepetersen has contributed to methodological advancements in spatial statistics, including goodness-of-fit tests, likelihood-based inference for log Gaussian Cox processes, and quasi-likelihood approaches for case-control point pattern data. His research has been supported by grants from institutions like the Villum Foundation. Key Projects: urbanLab, Klimadata til fugtsimuleringer, Nod factor signaling in plant microbiota. Grants: Multiple projects funded by the Villum Foundation and Danish research councils. His recent publications address topics such as space-time point processes, microbiome data analysis, and statistical modeling in education. Waagepetersen maintains an active research group and collaborates internationally on both theoretical and applied statistical problems.
Maazuza Othmanمشاهده پروفایل
مدرس ارشد
Dr. Maazuza Othman is a Senior Lecturer at RMIT University’s School of Civil, Environmental and Chemical Engineering (part of the School of Engineering). She has held academic roles at RMIT since 2000, including Program Coordinator and Course Development Officer. Her research focuses on wastewater treatment optimization, water recycling, evaporation enhancement, and anaerobic digestion processes. Industrial collaborations include projects with Huntsman Chemicals and assessments of wastewater treatment plant capacity. Dr. Othman’s teaching interests span wastewater treatment modeling, water conservation in commercial buildings, and sustainable design. She has supervised numerous research projects on topics such as electrobiomethanation, lignocellulosic biorefinery, and anaerobic co-digestion. Active in professional networks, she is a member of the Australian Water Association and Waste Management Association of Australia.
Ayşe Başar is a Professor in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University. She serves as Director of the Data Science Lab and Program Director of the Data Science Masters Program. Her research integrates machine learning and Bayesian methods to build predictive models and recommender systems, with applications in software engineering and healthcare. BSc, Boğaziçi University MASc, University of Alabama in Huntsville PhD, London School of Economics Her research focuses on advancing machine learning through Bayesian inference, deep reinforcement learning, and explainability. She develops models that simulate expert decision-making, particularly in complex environments like emergency rooms and software development. Her work emphasizes uncertainty quantification , social learning in networks , and evidence-based decision support systems . The selected publications reflect a strong trend in applying machine learning to real-world problems—particularly in software engineering defect prediction, healthcare team dynamics, and social network analysis. Her work consistently uses probabilistic modeling and ensemble methods to improve prediction accuracy and interpretability. Paper among top 3 most cited in Empirical Software Engineering Journal (2009–2014) Best Paper Award, AAAI (2010) Best Paper Award, IFIP/IEEE IM Symposium (2019) Best Paper Award, ESEM (2013) Dr. Başar actively supervises students and leads impactful research collaborations with institutions like St. Michael’s Hospital and IBM. She has held leadership roles including Director of Big Data for the Provost’s Office and Program Director for Data Analytics Certificates. She is an affiliated scientist at St. Michael’s Hospital and a research fellow at IBM CAS. She leads the Data Science Lab , which focuses on developing advanced machine learning models for complex decision-making. The lab works on projects involving large-scale data integration, predictive analytics, and human-in-the-loop AI systems.
فقط ۷۵۰ نتیجه اول نمایش داده میشود. برای رسیدن به نتایج دقیقتر، جستوجو را با فیلترها محدودتر کنید.