جست‌وجوی استاد و پژوهشگر

Jinsang Kimمشاهده پروفایل

استاد

• Bio-Micro Nanotechnology
• Bio-Nanotechnology
• Biomedical Imaging
• +۴ مورد دیگر

Jinsang Kim is a Professor in the Department of Materials Science and Engineering at the University of Michigan, with affiliations in Biomedical Engineering (BME). His research focuses on bio-micro/nanotechnology, bio-nanomaterials, and biomedical imaging technologies. He specializes in developing advanced materials for applications such as retinal hypoxia detection, organic light-emitting diodes, and sensor technologies. His work integrates polymer chemistry, organic electronics, and biomedical engineering to create innovative materials for medical diagnostics, optoelectronics, and nanotechnology. Key research areas include surface functionalization strategies, organic phosphorescent nanosensors, and stimuli-responsive materials. Kim’s publications emphasize cutting-edge advancements in organic phosphorescence, polymer design for high thermal conductivity, and biomedical imaging tools. His contributions span from fundamental material science to applied biomedical solutions, with a focus on translating discoveries into practical applications.

Marianne Masonمشاهده پروفایل

دانشیار

• Forensic Linguistics
• Discourse Analysis
• Game Theoretic Pragmatics
• +۴ مورد دیگر

Dr. Marianne Mason is an Associate Professor of Translation/Interpreting Studies and Forensic Linguistics at James Madison University (JMU), where she also coordinates the SETI minor and contributes to Linguistics and Legal Studies programs. Holding a Ph.D. in Linguistics from the University of Georgia, along with a BBA in Statistics and an MA in Translation, her expertise spans interdisciplinary research areas including language and law, discourse analysis, and translation studies. She is a 2018–2019 ACLS Fellow for her project on linguistic analysis in the American justice system. Her research focuses on police-layperson interactions, Miranda rights invocation, and interpreter-mediated legal discourse. Notable works include Police Interrogation, Language, and the Law (Cambridge UP, 2024) and co-editing The Discourse of Police Interviews (U Chicago Press, 2020). She has provided expert testimony in criminal cases and serves on editorial boards for journals like Translation and Interpreting Studies . Educations: Ph.D. Linguistics, University of Georgia MA Translation, [institution not specified] BBA Production Management/Statistics, [institution not specified] Research Projects: ACLS-funded study on language in the American justice system Custodial interrogation reform analysis Affiliations: International Association for Forensic and Legal Linguistics National Association of Judiciary Interpreters & Translators (NAJIT)

Nabil Bassimمشاهده پروفایل

دانشیار

• Materials Science
• Electron Microscopy
• Nanomaterials
• +۳ مورد دیگر

Nabil Bassim is an Associate Professor in the Department of Materials Science and Engineering at McMaster University and serves as Scientific Director of the Canadian Centre for Electron Microscopy (CCEM). His research focuses on advanced electron microscopy techniques, ion microscopy, nanofabrication, and beam-sample interactions, applied to nanomaterials, 2D materials, and structural materials like concrete and alloys. He holds a B.S. in Mechanical Engineering from the University of South Florida, and M.Sc. and Ph.D. degrees from the University of Florida. Research interests include: Development of novel electron/ion microscopy techniques Nanomaterial synthesis and characterization Beam-induced damage and doping mechanisms Structural materials analysis Machine learning optimization for microscale processes Recent publications demonstrate strong focus on semiconductor characterization, nanomaterials synthesis, and advanced microscopy techniques. Article trends highlight innovative approaches to nanoscale analysis, materials for energy applications, and correlative microscopy methods. As Faculty Lead for McMaster Engineering's Aerospace and Defense Initiative, Dr. Bassim coordinates interdisciplinary research. He co-founded the FIB-SEM User Meeting and teaches graduate courses in electron/ion microscopy characterization techniques.

Jonathan Boualavongمشاهده پروفایل

استادیار

• Electrochemical Separations
• Climate Change Mitigation
• Public Health
• +۶ مورد دیگر

Jonathan Boualavong is an Assistant Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo, State University of New York. His research focuses on electrochemical separations for climate change mitigation, public health, and environmental justice, integrating engineering and critical science and technology studies perspectives. PhD, Environmental Engineering, Pennsylvania State University (2023) MPhil, Chemical Engineering, University of Strathclyde, Scotland (2019) BS, Biomedical Engineering, University of Rochester (2017) His work examines: Electrochemical CO2 capture and its energy implications Mechanistic understanding of metal separations Ethical dimensions of scientific measurement Integration of renewable energy systems with chemical processes Current projects analyze: Air-water interface manipulation for CO2 absorption Electrochemical controls on lead/copper corrosion Coordination chemistry in transition metal redox processes Ethical citation networks in separation science Contact: jboualav@buffalo.edu

Hilary Sigmanمشاهده پروفایل

استاد

• Environmental Economics
• Public Economics
• Law and Economics
• +۴ مورد دیگر

Hilary Sigman is Professor of Economics at Rutgers University and Research Associate of the National Bureau of Economic Research (NBER), specializing in empirical environmental policy analysis. Her work bridges environmental economics, public finance, and legal frameworks through rigorous quantitative methods focused on real-world regulatory challenges. Academic Background: B.A. from Yale University M.Phil. from Cambridge University (U.K.) Ph.D. from Massachusetts Institute of Technology Sigman's research centers on environmental policy effectiveness, with three interconnected pillars: hazardous waste management (Superfund remediation, brownfield redevelopment, and liability systems), water resource economics (transboundary rivers, dam construction, and drought impacts), and waste management systems (municipal recycling and international waste flows). Her methodology combines econometric analysis of regulatory outcomes with institutional insights from policy implementation. Current projects examine climate adaptation for contaminated sites, economic consequences of China's waste import ban, and drought-related economic disruptions. Analysis of her recent publications reveals intensifying focus on climate adaptation challenges within environmental regulation, particularly regarding Superfund site resilience. The work increasingly addresses international dimensions of waste policy and transboundary water management, reflecting growing recognition of globalization's impact on environmental governance. Her empirical approach consistently links micro-level regulatory mechanisms to macro-level environmental outcomes. Professional Engagement: Research funding from National Science Foundation and Environmental Protection Agency Committee service for U.S. EPA Science Advisory Board Contributions to National Academies of Science, Engineering, and Medicine panels Teaching: Environmental Economics (Econ 432) and Applied Econometrics (Econ 609) Sigman maintains active policy engagement through government advisory roles while advancing academic knowledge through NBER affiliation. Her research program demonstrates consistent evolution from domestic regulatory analysis toward globally interconnected environmental challenges, particularly waste flows and climate adaptation in contaminated site management. Though no specific awards are documented in source materials, her sustained research funding and policy appointments indicate significant professional recognition.

Tao Huanمشاهده پروفایل

دانشیار

• Metabolomics
• Exposomics
• Analytical Chemistry
• +۵ مورد دیگر

Tao Huan is an Associate Professor in the Department of Chemistry , University of British Columbia , and holds the Canada Research Chair in Metabolomics and Exposomics . His research focuses on advancing mass spectrometry (MS) for metabolomics , integrating bioinformatics to address challenges in cancer metabolism , disease biomarker discovery , and exposome characterization . Education: Ph.D. in Analytical Chemistry (University of Alberta, 2015), Postdoctoral Research Associate (The Scripps Research Institute, 2015-2018). Dr. Huan’s work emphasizes systems biology , combining metabolomics with genomics and proteomics to decode complex biological mechanisms. He has pioneered methods for chemical isotope labeling and multimodal data integration , enhancing metabolite identification and pathway analysis. His recent publications (2020-2019) highlight innovations in LC-MS/MS workflows , freeze-thaw sample stability , and applications in colorectal cancer and Alzheimer’s disease . Dr. Huan’s lab actively recruits students and postdocs in analytical chemistry, metabolomics, and bioinformatics. Awards: Fred Beamish Award (2025), President’s Award, Metabolomics Society (2025), UBC Killam Faculty Research Award (2024), Michael Smith Health Research BC Scholar Award (2023). He serves as a faculty member in UBC’s Graduate Program in Bioinformatics , Genome Science and Technology , and the Cluster for Microplastics, Health and Environment . Lab alumni include Ph.D. and M.Sc. students now in academia and industry.

• Machine Learning
• Computer Vision
• Signal Processing
• +۶ مورد دیگر

Dongwook Kim is affiliated with the Korea Advanced Institute of Science & Technology (KAIST) as a faculty member in the Department of Business and Technology Management under the College of Business. His research spans multiple domains including machine learning, robotics, signal processing, and biomedical engineering. Key contributions in Computer Vision (CNN-based semantic segmentation, 3D point cloud analysis) Significant work in Hardware Design (energy-efficient processors, neuromorphic computing) Interdisciplinary expertise in Medical Imaging (bone age assessment, retinal biomarkers) and Cybersecurity (attack detection, network analytics) Publications since 2015 demonstrate sustained innovation in AI applications , Signal Processing , and Smart City Governance . His work often integrates theoretical advances with practical implementations in real-world systems. No scientific awards or student mentorship details are explicitly documented in the provided records.

Melanie Schienleمشاهده پروفایل

استاد

• Econometrics
• Statistical Methods
• Financial Risk Analysis
• +۴ مورد دیگر

Prof. Melanie Schienle is a Professor and Chair of Statistical Methods and Econometrics at the Department of Economics and Management, Karlsruhe Institute of Technology (KIT). She also holds a professorship in the Department of Mathematics at KIT since 2021. Her expertise spans statistical methods, econometrics, financial risk analysis, and forecasting. She leads the HKMetrics Network and the RespiNow Hub for respiratory disease forecasting. She serves as a Senior Fellow at the Rimini Center for Economic Analysis (RCEA), a steering committee member of the German Economic Association, and a member of the University Research Council at KIT. Education: Ph.D. (Dr. rer. pol.) in Economics from Mannheim University (2008), summa cum laude; Diploma in Mathematics (University of Karlsruhe, 2003) with a minor in theoretical physics. She has held academic positions at Leibniz University Hannover (2012–2015) and Humboldt University of Berlin (2008–2012). Research interests focus on financial networks, systemic risk, time series analysis, and machine learning applications in economics. She co-leads projects on nowcasting and forecasting, including collaborative efforts during the pandemic to predict hospitalizations. Her work integrates advanced statistical techniques with real-world policy implications. Prof. Schienle is an Associate Editor for the International Journal of Forecasting and Journal of Time Series Analysis . She has authored over 50 peer-reviewed publications and contributed to high-impact journals like Nature Communications and Journal of Business & Economic Statistics . She leads the Institute of Statistics at KIT and chairs the MathSEE initiative for interdisciplinary mathematical applications.

Jiehong Louمشاهده پروفایل

عضو هیئت علمی

• Climate Finance
• Energy Economics
• Environmental Policy
• +۴ مورد دیگر

Jiehong Lou is an Assistant Research Professor and Assistant Research Director at the Center for Global Sustainability (CGS) within the University of Maryland School of Public Policy. Her expertise spans climate finance, energy economics, environmental policy, and transportation equity. She holds a PhD in policy sciences from the University of Maryland, with additional degrees in public policy and applied economics from the same institution, and a BA in public policy from Tongji University in China. Her research focuses on mobilizing private climate finance, corporate motivations for carbon investments, evaluating co-benefits of climate projects, and analyzing disparities in transportation and energy accessibility. She previously served as a postdoctoral fellow with the Maryland Transportation Institute. Her work often integrates interdisciplinary approaches, combining economic modeling with policy analysis to address global sustainability challenges. Lou has contributed to high-ambition climate pathways for countries like Indonesia, South Korea, and China, emphasizing equitable transitions and policy reforms. She co-authored studies on EV infrastructure equity, coal phaseout strategies, and the socioeconomic impacts of energy policies. Her recent projects include analyzing renewable energy investment needs in China and Indonesia’s decarbonization pathways. Lou collaborates with international organizations and policymakers, bridging academic research with practical climate solutions. Her work is published in journals like npj Climate Action and peer-reviewed energy policy outlets, with a focus on actionable insights for policymakers and stakeholders.

Paul Westerhoffمشاهده پروفایل

استاد

• Environmental Geochemistry
• Food-Water-Energy Nexus
• Drinking Water Treatment
• +۳ مورد دیگر

Dr. Paul Westerhoff is a Regents' Professor and Fulton Chair of Environmental Engineering at Arizona State University's School of Sustainable Engineering and the Built Environment. He leads major NSF-funded research centers, including the Nanosystems Engineering Research Center for Water Treatment (NEWT) and the Science and Technologies for Phosphorus Sustainability (STEPS) Center. With over 400 journal publications (H-index >100), his work focuses on emerging contaminants, water treatment technologies, and nanomaterial fate. Awards include the 2023 National Academy of Engineering membership, 2020 A.P. Black Award, and 2019 NWRI Clarke Prize. Education: Ph.D., University of Colorado-Boulder (1995); M.S., University of Massachusetts-Amherst (1991); B.S., Lehigh University (1989). Research emphasizes water quality, sustainable engineering, and nanotechnology applications. Key areas include PFAS remediation, biofilm control via UV light, and atmospheric water harvesting. He serves as Associate Editor for Environmental Science & Technology . Recent projects include lithium monitoring in drinking water, semiconductor water use, and space-based UV disinfection systems. Over 80 students have graduated under his mentorship, recognized with ASU's 2015 Outstanding Doctoral Mentor Award. Awards span innovation (Water Research Foundation, 2024), teaching (Daniel Jankowski Legacy Award, 2021), and technical excellence (EPA STAA, 2019).

Emanuel Sallingerمشاهده پروفایل

استاد

• Information Systems Engineering
• Computational Logic
• Scalable Artificial Intelligence
• +۸ مورد دیگر

Emanuel Sallinger is a Full Professor at TU Wien's Databases and Artificial Intelligence Group and Vice Dean of Academic Affairs for Business Informatics and Data Science. He leads the Knowledge Graph Lab, focusing on scalable knowledge-based systems, reasoning in knowledge graphs, and AI integration. His research spans computational logic, database theory, and blockchain applications. Education: PhD in Computer Science (awarded 'sub auspiciis praesidentis rei publicae'), Master's degrees in Computational Intelligence and Informatics Management, and a Bachelor's in Software and Information Engineering. Research Interests: Knowledge graphs (construction, reasoning, scalability), logic-based systems, AI/ML integration with databases, enterprise architecture modeling, and financial knowledge systems. His work emphasizes practical applications like enterprise modeling, sustainable waste management, and regulatory compliance. Grants & Projects: Lead Vienna Science and Technology Fund (WWTF)-funded Knowledge Graph Lab. Involved in projects like 'Knowledge Graph-driven Tour Management' (sustainability), 'SustainGraph' (waste processing), and 'Enterprise Architecture Knowledge Graphs'. Teaching: Offers courses on Knowledge Graphs, Generative AI, Database Systems, and research methodology. Supervises doctoral and master's students in AI, databases, and knowledge representation. Labs/Teams: Knowledge Graph Lab at TU Wien, collaborating with industry on blockchain-based systems, financial AI, and enterprise architecture frameworks.

Babak Moaveniمشاهده پروفایل

استاد

• Structural Health Monitoring
• Bayesian Inference
• Earthquake Engineering
• +۷ مورد دیگر

Babak Moaveni is a Professor in the Department of Civil and Environmental Engineering at Tufts University, serving as the Associate Chair since September 2024. He also holds a joint appointment as a Professor in Electrical and Computer Engineering. His research focuses on structural health monitoring, Bayesian inference, earthquake engineering, and offshore wind energy systems. Moaveni earned his Ph.D. in Structural Engineering from the University of California San Diego (2007), following an M.S. (2001) and B.S. (1999) from Sharif University of Technology in Tehran, Iran. His research interests span probabilistic system identification, signal processing, uncertainty quantification, and verification/validation of computational models. Notable grants include leadership in the PIRE project on offshore wind energy digital twins and the Coastal Virginia Offshore Wind Pilot Project. He has supervised multiple Ph.D. and M.S. students, with current advisees including Mehdi Akhlaghi and Nasim Partovi-Mehr. Moaveni has received the Best Presentation Award at the 2022 EDGE Symposium and serves on editorial boards for journals like Structural Health Monitoring and Frontiers in Built Environment . His lab, the Structural Health Monitoring Lab, specializes in infrastructure management and offshore wind energy systems. Key professional activities include membership in the American Society of Civil Engineers (ASCE) and roles on Tufts' Tenure and Promotion Committee. His teaching includes courses on structural health monitoring, numerical methods, and structural reliability.

Anders Sejr Hansenمشاهده پروفایل

استادیار

• 3D Genome Structure
• Gene Expression Regulation
• Chromatin Dynamics
• +۵ مورد دیگر

Anders Sejr Hansen is an Assistant Professor of Biological Engineering at MIT, leading the Hansen Lab focused on understanding 3D genome structure and its functional implications. He holds a PhD from Harvard University and completed postdoctoral training at UC Berkeley. His research integrates advanced imaging, genomics, and computational methods to study chromatin dynamics, enhancer-promoter interactions, and their roles in gene regulation across health and disease. Education: Bachelor's/Master's in Chemistry, University of Oxford (2010) PhD in Chemistry and Chemical Biology, Harvard University (2015) Postdoctoral Research, UC Berkeley (2015–2020) Research Interests: His work spans molecular mechanisms of genome organization, development of novel microscopy techniques (e.g., MINFLUX, expansion microscopy), and computational models for 3D genomics. Key areas include chromatin dynamics, loop extrusion by cohesin/condensin, and the impact of 3D structure on gene expression in cancer and aging. Awards: NIH K99 Pathway to Independence Award (2019) NIH Director’s New Innovator Award (2020) Pew-Stewart Scholar for Cancer Research (2021) NSF CAREER Award (2024) NIH Director’s Transformative Research Award (2024) Advising & Grants: Hansen mentors PhD students and postdocs, including notable advisees Viraat Goel and Domenic Narducci. His lab has secured major grants from NIH, NSF, and private foundations, supporting interdisciplinary projects in imaging, genomics, and synthetic biology. Labs/Teams: The Hansen Lab at MIT collaborates with institutions globally, advancing technologies like Region Capture Micro-C (RCMC) and deep learning models (e.g., Cleopatra) for high-resolution genome mapping. The lab also explores synthetic biology approaches to engineer genome structures.

Marcus Christlمشاهده پروفایل

مدرس

• Accelerator Mass Spectrometry (AMS)
• Cosmogenic Nuclide Dating
• Erosion and Sediment Dynamics
• +۵ مورد دیگر

Marcus Christl is a Lecturer at the ETH Zürich Department of Physics and Head of the Laboratory of Ion Beam Physics (LIP) . His academic profile focuses on Accelerator Mass Spectrometry (AMS) , cosmogenic nuclide dating, and environmental applications of isotope geochemistry. Office: HPK H 33, Otto-Stern-Weg 5, 8093 Zürich, Switzerland Phone: +41 44 633 38 84 / +41 44 633 65 07 Email: mchristl@phys.ethz.ch ORCID: 0000-0002-3131-6652 Dr. Christl teaches courses in Accelerator Mass Spectrometry and Quaternary Dating Methods , including: 402-0180-00L Ethics and Scientific Integrity for Doctoral Students in Physics 402-0620-00L Current Topics in Accelerator Mass Spectrometry and Its Applications 402-0621-00L Introduction to Accelerator Mass Spectrometry His research spans multiple disciplines through cosmogenic isotope analysis: Climate Science : Using 10 Be and 14 C records to reconstruct solar activity cycles and climate fluctuations over millennial timescales Geochronology : Developing novel dating techniques using 36 Cl/ 10 Be ratios for ice cores and landscape features Geomorphology : Quantifying erosion dynamics in diverse environments from the Alpine foreland to South African pediments Oceanography : Tracing Atlantic water transport patterns using 129 I– 236 U dual tracers Radiochemistry : Advancing methods for nuclear forensics and environmental pollutant analysis Recent publications reveal trends in: Refining AMS systems for analyzing transuranic elements Quantifying landscape evolution through multi-isotope approaches Understanding ocean circulation pathways using artificial radionuclides Investigating soil dynamics in glaciated and tropical environments Correlating cosmogenic production with sea level and climate changes

• Pharmacokinetics
• Pharmacodynamics
• Model-Informed Drug Development
• +۴ مورد دیگر

Guohua An, MD, PhD, is an Associate Professor in the Department of Pharmaceutical Sciences and Experimental Therapeutics at the University of Iowa College of Pharmacy. She holds expertise in mechanistic pharmacokinetic/pharmacodynamic (PK/PD) modeling, population PK in special populations, model-informed drug development, and quantitative systems pharmacology. Her research focuses on optimizing drug therapies for critically ill patients, infants, and surgical patients, with emphasis on antibiotics and novel drug candidates like HSD-1 inhibitors. Dr. An has a dual background in clinical pharmacy and pharmaceutical sciences, with industry experience at AbbVie and prior academic roles at the University of Florida. Education: MS in Clinical Pharmacology, Fudan University, China PhD in Pharmaceutical Sciences, SUNY University at Buffalo, USA Research Interests: Dr. An’s work integrates PK/PD modeling to inform drug development and clinical care, particularly in special populations. She explores mechanisms of drug disposition, target-mediated effects, and systems pharmacology to enhance therapeutic outcomes. Her recent studies address empiric dosing strategies for antibiotics (e.g., piperacillin-tazobactam), nonlinear pharmacokinetics of inhibitors, and quantitative models for incretin hormones. Publications: Her articles emphasize PK/PD modeling in antibiotics, HSD-1 inhibitors, and siRNA therapeutics. Key themes include population pharmacokinetics in cystic fibrosis patients, target-mediated drug disposition, and systems pharmacology approaches to diabetes therapies. Labs/Teams: Collaborates with interdisciplinary teams in clinical pharmacology and drug development, leveraging both academic and industrial partnerships.