جست‌وجوی استاد و پژوهشگر

Irene Koronakiمشاهده پروفایل

استاد

• Thermodynamics
• Cooling Technology
• Heat Pumps
• +۷ مورد دیگر

Irene Koronaki is a Professor at the National Technical University of Athens , affiliated with the School of Mechanical Engineering and the Thermal Engineering Section . She serves as Director of the Laboratory of Applied Thermodynamics, Cooling Technology & Refrigerated Vehicles since 2022 and has held academic roles at NTUA since 1999. Her research focuses include thermodynamics, heat pumps, energy efficiency, and renewable energy systems. Diploma in Mechanical Engineering, NTUA (1996) PhD in Thermal Engineering, NTUA (2000) Postdoctoral Researcher, NTUA (2002) Her research spans thermodynamics of cooling cycles, heat pumps, power cycles, energy saving in buildings, and thermal energy storage. She has pioneered work in nanofluids, solar cooling, and CO2 absorption systems. Her publications and projects reflect expertise in Stirling engines, hybrid solar collectors, and building energy optimization. Her recent articles highlight advancements in superfluid thermodynamics, solar PV/T systems, and medical robotics. Awards include the Edward F. Obert Award (2022) and leadership of the 2021 ASHRAE Student Design Competition winning team. She serves on ASME and ASHRAE committees and co-authored educational materials for refrigeration and energy inspection standards.

Adam Handمشاهده پروفایل

استاد

• Transportation Materials and Design
• Pavement Engineering
• Construction Quality Management
• +۳ مورد دیگر

Adam Hand is a Professor in the Department of Civil & Environmental Engineering at the University of Nevada, Reno. His research focuses on transportation materials, pavement design, and sustainable construction practices. He has contributed significantly to advancing the use of recycled materials in asphalt mixtures and improving construction quality assurance protocols. His expertise includes pavement rehabilitation, performance-related specifications, and risk analysis in infrastructure projects. He has authored numerous publications on topics such as cold recycled asphalt mixtures, intelligent construction equipment integration, and carbon footprint reduction strategies. Dr. Hand teaches courses in Bituminous Materials and Mixtures, Pavement Design, and Construction Materials Engineering. His work emphasizes practical applications of research to real-world infrastructure challenges, including the development of cost-effective and environmentally responsible construction methods. Recent research trends include exploring post-consumer plastic utilization in asphalt binders, optimizing recycled material integration, and enhancing pavement density through innovative construction techniques. His projects often bridge academic research with industry collaboration to drive technological adoption. Awards and recognitions are not explicitly mentioned in the provided texts. He has advised on numerous demonstration projects related to pavement durability and density improvement, collaborating with agencies like the Nevada Department of Transportation. Labs and teams associated with his work include the University of Nevada’s Pavement Engineering & Science Program, focusing on cutting-edge material testing and field implementation strategies.

Mohammad Teymouriمشاهده پروفایل

استادیار

• Sustainable construction materials
• Concrete durability
• AI-driven analysis and optimization of concrete
• +۵ مورد دیگر

Dr. Mohammad Teymouri is an Assistant Professor at South Dakota State University (SDSU) in the Department of Construction and Concrete Industry Management, part of the Jerome J. Lohr College of Engineering. His research focuses on sustainable construction materials, concrete durability, and AI-driven optimization. He holds a Ph.D. in Civil and Environmental Engineering from Colorado State University (2024), an M.S. from Isfahan University of Technology (2016), and a B.S. from Amirkabir University of Technology (2013). Dr. Teymouri is a committee member of the Transportation Research Board (TRB) AKM60 and has contributed to Iranian standards for concrete and soil testing. His awards include the Portland Cement Association Grant ($35,000), the Colorado State University Dean’s Fellowship, and multiple scholarships. He teaches courses such as GE 241: Applied Mechanics/Statics and CM 353: Construction Structures. Education: Ph.D., Civil and Environmental Engineering, Colorado State University, 2024 M.S., Civil and Environmental Engineering, Isfahan University of Technology, 2016 B.S., Civil and Environmental Engineering, Amirkabir University of Technology, 2013 Research Interests: Sustainable concrete materials Alkali-activated concrete AI-driven design and analysis Novel supplementary cementitious materials Dr. Teymouri has secured grants totaling over $55,000 and holds patents in Iran for innovations like high-strength asphalt and lightweight gypsum blocks. His work emphasizes reducing carbon emissions in construction through low-carbon concrete solutions. He actively mentors students in AI and sustainability-driven research projects.

• Cognitive Modelling
• Artificial Intelligence
• Decision-Making
• +۳ مورد دیگر

Dr. Leendert van Maanen is an Associate Professor at the Department of Experimental Psychology, Utrecht University, where he studies cognitive mechanisms underlying information processing and decision-making. His research focuses on developing and validating computational cognitive models, with applications in human-machine interaction and cognitive neuroscience data analysis. Research Themes: Cognitive Modeling, Decision-Making, Human-Centered Artificial Intelligence, Applied Data Science Labs: Leads the COBRA (Cognitive and Behavioral Research in Artificial Intelligence) lab His work spans three levels of cognitive integration in AI: model development, human-machine deployment, and neural data analysis. Recent projects include cognitive strategy detection, digital twin user modeling, and neural event detection using multivariate time series. For collaborations and publications, see leendertvanmaanen.com or Utrecht University Research Portal.

Ofer Harelمشاهده پروفایل

استاد

• Missing Data Analysis
• Causal Inference
• Verification Bias
• +۶ مورد دیگر

Ofer Harel is a Professor in the Department of Statistics at the University of Connecticut , where he also serves as Dean of the College of Liberal Arts and Sciences . His research focuses on advanced statistical methodologies for handling incomplete data, with applications spanning epidemiology, health research, clinical trials, and social sciences. Primary Affiliation: University of Connecticut Roles: Professor of Statistics, Dean of College of Liberal Arts and Sciences Research Focus: Missing data analysis, Bayesian methods, latent class modeling, and statistical applications in public health Research Interests span critical areas including: Missing Data Mechanisms: Developing and refining multiple imputation techniques Latent Class Analysis: Applying to health outcomes and behavioral studies Bayesian Modeling: For spatial and longitudinal health data Statistical Disclosure Control: Protecting sensitive demographic information Health Applications: Covering HIV prevention, cancer survivorship, and mental health Educational Statistics: Integrating computing tools into statistical pedagogy Publication Trends demonstrate expertise in: Advanced imputation frameworks for clinical and epidemiological research Latent class and multilevel modeling for diverse health outcomes Statistical ethics and data confidentiality in public health research Spatial and longitudinal analysis of disease patterns Methodological innovations in handling missing data across multiple disciplines Advising and Collaborative Work includes methodological contributions to: Non-inferiority trial designs with missing data challenges Bayesian spatial modeling applications in global health Improving statistical reporting and reproducibility

Gokul Dev Vasudevanمشاهده پروفایل

مدرس

• Civil Engineering Materials
• Concrete Durability
• Sustainable Construction Materials
• +۵ مورد دیگر

Gokul Dev Vasudevan is a Lecturer at the University of Georgia's School of Environmental, Civil, Agricultural & Mechanical Engineering, within the Department of Civil Engineering. His research focuses on sustainable construction materials, concrete durability, and performance-based mixture proportioning. He holds a Ph.D. and has authored numerous technical publications since 2015. Education: Ph.D. in Civil Engineering (not specified in text) His work emphasizes reducing concrete's environmental footprint through alternative cementitious systems, optimizing fly ash utilization, and Bayesian modeling for material performance prediction. He has contributed to high-impact projects like the CALTRANS study on portland-limestone cement and pioneered new methods for chloride threshold quantification in reinforced concrete. His articles span durability analysis, carbonation resistance, and carbon-neutral concrete technologies. Recent work (2022-2024) addresses critical chloride thresholds, sustainable mixture design, and service life prediction under CO₂ exposure. No awards or grants are explicitly mentioned, though his technical reports suggest strong industry collaboration. He advises no listed students but contributes to infrastructure resilience through applied research. Labs/teams: Not explicitly stated, but his research aligns with civil engineering materials laboratories at UGA's Driftmier Engineering Center.

Sang Mee Leeمشاهده پروفایل

پژوهشگر

• Biostatistics
• Statistical Genetics
• Medical Statistics
• +۵ مورد دیگر

Sang Mee Lee is a Researcher in the Department of Biostatistics at the University of Chicago, contributing to interdisciplinary research in statistical genetics and applied biostatistics. She holds a Ph.D. in Biostatistics from the University of Minnesota (2011), an M.S. and B.S. in Statistics from Ewha Womans University, Korea (2006 and 2001 respectively). Her research focuses on gene expression data analysis, diabetes translation research targeting vulnerable populations, and cancer studies involving hematologic malignancies. She pioneered a likelihood-based approach for Gene Set Enrichment Analysis (GSEA) using finite mixture models and is the principal biostatistician at the Chicago Center for Diabetes Translation Research, aiming to reduce health disparities through evidence-based interventions. Her work integrates statistical methodologies with clinical outcomes, emphasizing structural approaches in donor selection for hematopoietic cell transplantation and leveraging mobile health technologies to improve diabetes care. Key collaborations include studies on second malignancies in neuroblastoma patients and healthcare utilization patterns in federally funded health centers. Lee’s publications span oncology, diabetes care, pulmonary biology, and healthcare policy, reflecting her commitment to bridging statistical rigor with real-world health challenges.