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Cynthia Lin LawellView profile

Associate Professor

• Environmental Economics
• Energy Economics
• Resource Economics
• +6 more

Cynthia Lin Lawell is an Associate Professor and holds the Robert Dyson Sesquicentennial Chair in Environmental, Energy and Resource Economics at Cornell University's Charles H. Dyson School of Applied Economics and Management. She is a prominent economist with expertise spanning environmental, energy, and resource economics, using advanced econometric methods to address critical policy questions. Dr. Lin Lawell earned her Ph.D., A.M., and A.B. from Harvard University, where she pursued a multidisciplinary major in Environmental Science and Public Policy. Her undergraduate thesis in atmospheric chemistry won the Thomas Temple Hoopes Prize and led to peer-reviewed publications. She has received numerous prestigious awards including the Harvard University Stone Fellow Award, the International Society for New Institutional Economics Award for the Best Ph.D. Dissertation, and the UC-Davis Hellman Fellowship. Her research focuses on environmental, energy, and resource economics, with particular expertise in structural econometric modeling of dynamic games, applied econometrics, and policy analysis. She has published in top journals including the Review of Economics and Statistics, Journal of Environmental Economics and Management, and Energy Journal. Her work examines strategic decision-making in resource extraction, effectiveness of environmental policies, energy efficiency, water management, and renewable energy development. Dr. Lin Lawell's research has been widely featured in major media outlets including the New York Times, Washington Post, and Guardian. Her analysis of Danish wind energy policy demonstrated that government policies, rather than technological advantages, drove Denmark's leadership in wind energy. Her work on Chinese energy policies revealed mixed effectiveness across different policy instruments. Harvard University Stone Fellow Award for Best Paper Written by a Doctoral Student in Environmental and Resource Policy International Society for New Institutional Economics Award for the Best Ph.D. Dissertation 2011 UC-Davis Hellman Fellowship for promising young faculty RePEc Top 3% Female Economists Based on Publications in Last 10 Years 2017 Cornell University Knowledge Matters Fellow Dr. Lin Lawell directs two major research initiatives at Cornell: the Dynamics, Economics, Econometrics, Policy, and Games: Rigorous Environmental, Energy, Natural Resource, Agriculture, and Development Analysis and Research (DEEP-GREEN-RADAR) and the Think-tank for Resources, Energy, and the Environment: Science and Policy-related Economic Analysis and Research (TREESPEAR). She also serves as President of the U.S. Association for Energy Economics Bay Area Chapter and has received multiple grants supporting her research on agricultural-to-energy land use conversions and sustainable resource management.

Jared L. AndersonView profile

Professor

• Separation Science
• Analytical Chemistry
• Bioanalytical Chemistry
• +7 more

Jared L. Anderson serves as the Alice Hudson Professor in the Department of Chemistry at Iowa State University, where he leads an active research group focused on advancing separation science and analytical chemistry. His laboratory develops innovative approaches to chemical measurement and analysis using ionic liquids, polymeric ionic liquids, and magnetic ionic liquids for applications in pharmaceutical analysis, environmental monitoring, and nucleic acid diagnostics. Dr. Anderson's research interests center on separation science with particular emphasis on the application of ionic liquids in chromatographic separations and sample preparation. His group has pioneered techniques using magnetic ionic liquids for nucleic acid extraction, developed novel stationary phases for comprehensive two-dimensional gas chromatography, and created polymeric ionic liquid-based sorbent coatings for solid-phase microextraction. These innovations address critical challenges in pharmaceutical quality control, particularly in the analysis of genotoxic impurities in active pharmaceutical ingredients. His recent publications demonstrate a strong focus on practical analytical solutions, with research trending toward point-of-care diagnostic applications using smartphone technology, 3D printed extraction devices, and advanced nucleic acid analysis techniques. The work bridges fundamental chemistry with real-world applications in food safety, environmental monitoring, and clinical diagnostics. Dr. Anderson actively mentors graduate students and postdoctoral researchers, with several former trainees securing competitive academic positions and industry roles. His group maintains collaborations with academic research groups across Europe, South America, North America, and Asia, as well as numerous industrial partners in the pharmaceutical sector. The laboratory participates in the ACS Project SEED program, providing research opportunities for underrepresented high school students. The Anderson Research Group operates state-of-the-art facilities for developing and testing novel separation methodologies, with particular expertise in gas chromatography, liquid chromatography, and microextraction techniques. Current projects focus on creating tunable solvents for specific analytical challenges, with applications spanning from pharmaceutical quality control to environmental monitoring and clinical diagnostics.

Jason SzafronView profile

Assistant Professor

• Biomedical Engineering
• Cardiovascular Disease
• Pulmonary Vascular Disease
• +6 more

Jason Szafron is an Assistant Professor in the Department of Biomedical Engineering at Carnegie Mellon University’s College of Engineering. He leads a research group focused on developing computational tools to understand and treat cardiovascular diseases, particularly congenital heart defects, pulmonary vascular diseases, and fetal growth restriction. His work integrates biomechanical modeling with experimental data to improve treatment planning and medical device design. Education: B.S. in Biomedical Engineering, Texas A&M University (2015) M.S. and Ph.D. in Biomedical Engineering, Yale University (2018, 2020) Postdoctoral Research Fellow at Stanford University’s Department of Pediatrics (2023) Research Interests: Simulation tools for cardiopulmonary disease progression Biomechanical modeling of vascular adaptation Computational frameworks for organ-scale growth remodeling Optimization of tissue-engineered vascular grafts His lab combines experimental and computational approaches to study disease mechanisms, with a focus on mechanobiological and immunological factors driving vascular pathology. Publications highlight advancements in pulmonary hypertension modeling, vascular graft design, and open-source diagnostic tools like HemoLens. Recent work emphasizes personalized treatment planning via neural network-based digital twins. Awards: Parker B. Francis Fellow (2022–2025) for pulmonary disease research Labs/Teams: Director of the Szafron Lab at CMU, focused on translational cardiovascular engineering. Collaborates with Stanford University and Mayo Clinic on clinical applications.

Bruce WigginsView profile

Associate Professor

• Audio Engineering
• 3D Audio
• Ambisonics
• +5 more

Bruce Wiggins is an Associate Professor in Audio Engineering at the College of Science and Engineering. His research focuses on spatial audio technologies, including Ambisonics, binaural auralization, and 3D audio systems. Notable projects include the GASP guitar system and WHAM webcam-based head-tracked audio solutions. He has contributed to advancements in microphone array calibration, speaker array modeling, and virtual reality audio integration. His work bridges theory with practical applications in music technology and acoustic engineering. Education: PhD in Audio Engineering (2004). Research Interests: Ambisonics, spatial audio capture and reproduction, 3D audio for virtual reality, binaural rendering, and innovative musical instrument design. His work emphasizes practical implementations such as the GASP guitar system and calibration tools for low-cost microphone arrays. Article Trends: Recent publications address virtual stereo microphone techniques (2024), dynamic electrical systems (2024), and browser-based 3D audio (2023). Earlier work explores head-tracking algorithms (2016–2020) and acoustic modeling for domestic environments (2017). Grants/Advising: No explicit grants listed. Advising details unavailable but has collaborated with numerous researchers on projects like WHAM and GASP. Labs/Teams: Active in interdisciplinary teams developing spatial audio tools and instruments, including collaborations on virtual reality auralization and ambisonic guitar systems.

Daniel LaumannView profile

Researcher

• Physics Education
• Science Education
• Educational Technology
• +4 more

Dr. Daniel Laumann is a faculty member at the University of Münster, affiliated with the Department of Physics within the Faculty of Mathematics and Natural Sciences. His primary research focuses on physics education innovation, particularly the integration of digital tools and technologies into teaching. He has actively contributed to advancing methodologies such as augmented reality (AR) and mixed reality (MR) in laboratory settings, mobile learning strategies, and interdisciplinary approaches combining physics with art. His work emphasizes enhancing student engagement through interactive simulations, BYOD (Bring Your Own Device) initiatives, and conceptual understanding in magnetism and optics. Dr. Laumann has published extensively in journals like Physics Education , Journal of Science Education and Technology , and Frontiers in Education , reflecting his commitment to evidence-based pedagogy. He collaborates widely with colleagues in physics education, psychology, and engineering to design effective learning environments. Education: While specific academic degrees aren’t listed in the text, his title 'Dr.' indicates a PhD in Physics or a related field. Research Interests: His work spans educational technology (e.g., AR for polarization experiments), mobile device integration in STEM education, and cognitive aspects of learning (e.g., empathizing/systemizing traits in students). He also explores interdisciplinary projects linking physics principles with artistic light installations, aiming to broaden public engagement with science. Key Projects: Leading initiatives like the MiReQu project (Mixed Reality Learning Environments for Quantum Technologies) and studies on BYOD impacts in classrooms. He co-developed tools such as the Light Spectrum Analyzer app and smartphone-based magnification devices. Grants & Awards: No specific grants or awards are mentioned in the provided texts. Labs/Teams: Actively involved in the Physics Education Research Group at the University of Münster, collaborating with institutions like the Deutsche Physikalische Gesellschaft (DPG) on curriculum development and innovation.

Alberto Maydeu OlivaresView profile

Professor

• Psychometrics
• Structural Equation Modeling
• Item Response Theory
• +3 more

Alberto Maydeu Olivares is a Professor at the Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, within the Faculty of Psychology. He leads the Violence, Behavior, Individual differences and Technology Studies (WITS) research group. His expertise spans psychometrics, structural equation modeling (SEM), and item response theory (IRT). He holds a Licenciatura in Psychology from the Universitat de Barcelona (1988), a Doctorat in Quantitative Psychology from the same institution (1991), and advanced degrees from the University of Illinois, including a Ph.D. in Quantitative Psychology (1997) and masters in Mathematical Statistics and Quantitative Psychology. His research focuses on improving psychological measurement methods, evaluating model fit in SEM/IRT, and addressing methodological challenges in behavioral data. Notable projects include NSF-funded work on SEM fit indices (2017–2020) and AGAUR-supported studies on IRT applications (2014–2017). He teaches advanced courses like Multivariate Analysis and Structural Equation Models at the master’s level. Maydeu Olivares has authored influential papers on goodness-of-fit assessment, causal effect estimation via instrumental variables, and forced-choice test design. His work bridges statistical rigor with practical applications in psychology, addressing issues like faking in assessments and common method bias. He actively contributes to methodological advancements, emphasizing transparent and robust statistical practices.

Chris WarnerView profile

Researcher

• Atmospheric Science
• Climate Modeling
• Geophysical Fluid Dynamics
• +3 more

Chris Warner is a Researcher at the Department of Applied Mathematics and Theoretical Physics (DAMTP) within the Faculty of Mathematics at the University of Cambridge. His research focuses on atmosphere-ocean dynamics, particularly gravity wave parameterization, stratospheric dynamics, and climate modeling. He has contributed to advancements in general circulation models (GCMs) and the Met Office Unified Model, emphasizing realistic simulations of atmospheric processes such as the Quasi-Biennial Oscillation (QBO). His work integrates satellite data (e.g., CRISTA) with theoretical models to understand gravity wave momentum flux and spectral characteristics. Key areas include filtering mechanisms for nonorographic gravity waves and the development of ultra-simple parameterization schemes to improve climate model accuracy. Collaborations involve institutions like NASA and the Met Office, addressing challenges in mesopause physics and stratospheric-tropopause coupling. Publications span over two decades, demonstrating sustained contributions to both atmospheric science and instrumentation (e.g., microelectronic probe techniques). No scientific awards are explicitly mentioned in the provided materials. His research group is part of DAMTP’s Atmosphere-Ocean Dynamics section, contributing to theoretical and applied studies in geophysical fluid dynamics.

• Health Economics
• Econometrics
• Long-Term Care and Aging
• +3 more

Edward C. Norton is the UnitedHealthcare Professor of Health Care Management in the Department of Health Management and Policy and a Professor in the Department of Economics at the University of Michigan. He serves as Director of Quantitative Analytics in the Center for Healthcare Outcomes and Policy and is a Research Associate at the National Bureau of Economic Research (Health Economics and Economics of Aging Programs). His work bridges econometric methods with health policy, focusing on long-term care, aging, and pay-for-performance systems. Education: PhD in Economics from MIT (1990), AB in Economics from Princeton University (1986). Research interests span health economics , econometric modeling , aging , and healthcare finance . His recent publications address topics like IVF insurance coverage , robotic surgical outcomes , and dementia-related economic burdens , employing advanced statistical techniques to evaluate policy impacts. He has received the 2018 School of Public Health Excellence in Research Award . His methodological contributions include developing analytical tools for heterogeneous treatment effects and logit model interpretations , with applications in Medicare payment reforms and healthcare quality studies.

Marco FarinaView profile

Professor

• Electromagnetic Fields
• Scanning Probe Microscopy
• Nanotechnology
• +4 more

Marco Farina is a Full Professor in Electromagnetics at the Department of Information Engineering, College of Engineering, Polytechnic University of Marche, Italy. His research spans electromagnetic modeling, scanning microwave microscopy, and nanotechnology, with applications in 2D materials, biosensors, and advanced measurement systems. He is a Senior Member of IEEE and actively contributes to Technical Committees on RF Nanotechnology. Laurea and Ph.D. in Electronic Engineering from University of Ancona Research interests focus on quantitative scanning microwave microscopy, electromagnetic analysis of active/passive components, and nanoscale characterization techniques. His work bridges theoretical modeling with practical implementation, including the development of the EM3DS software suite and novel inverted SMM systems. Recent publications highlight interdisciplinary applications in biomedical analysis and semiconductor physics. Scientific recognition includes the 3M-Nano Best Conference Paper Award and grants from US Army Research Laboratory and US Air Force Office of Scientific Research. He holds an ESA-funded patent for VNA calibration and has co-authored a book on planar structure analysis. Collaborative projects emphasize RF device optimization and biological imaging.

Emily GibsonView profile

Associate Professor

• Biophotonics
• Neuroscience
• Neuroengineering
• +3 more

Emily Gibson is an Associate Professor of Bioengineering at the University of Colorado Denver, affiliated with the CU Anschutz Medical Campus. Her research focuses on developing advanced optical technologies, including multiphoton, superresolution, and structured illumination microscopy, to study neural circuits and advance clinical tools. The Biophotonics Lab, under her leadership, integrates optogenetics and fluorescent sensors to explore nervous system dynamics and non-invasive brain-machine interfaces. Recent projects include NSF-funded work on odor plume navigation and BRAIN Initiative-supported development of miniature microscopes for voltage imaging in freely moving mice. Her team collaborates on clinical neuronavigation via two-photon microscopy and presented innovations like the GRINtrode and SIMscope3D at conferences such as CLEO and the Biophotonics Congress. Students and researchers in her lab include Forest Speed, Tarah Welton, and Gabriel Martinez, among others.

Dalia ChowdhuryView profile

Associate Professor

• Mental and Physical Disability
• Gender Studies
• Trauma and Addiction
• +4 more

Dalia Chowdhury is an Associate Professor in the Department of Rehabilitation and Health Services at the University of North Texas. Her work focuses on intersections of disability, gender, trauma, and healthcare systems. She holds certifications in counseling (Ph.D., CRC, CADC, LPC) and addresses critical issues such as disability-related violence, addiction, suicide prevention, and trauma-informed care. Her research also explores barriers faced by women with disabilities in professional sectors and healthcare access disparities. Research interests include: Mental and physical disability advocacy Gender equity in healthcare and education Trauma-informed clinical practice Psychometric tool development Disability pedagogy Suicide risk management in rehabilitation settings Her work analyzes systemic challenges in areas like opioid crisis intervention, pregnancy barriers for disabled women, and childhood disability-related abuse. Over 15 years, her articles have highlighted ethical challenges in telehealth, rural healthcare workforce development, and intersectional discrimination faced by disabled professionals. She has developed clinical assessment tools like the CAVAWD Scale to improve clinician responses to violence against women with disabilities. Her contributions bridge clinical practice and policy through explorations of vocational rehabilitation counselors' competencies in handling complex cases like non-suicidal self-injury and client suicide. Ongoing efforts focus on advancing diversity in rehabilitation education and addressing gaps in trauma training for healthcare providers.

Peter Behrensdorff PoulsenView profile

Researcher

• Solar Cell Engineering
• Photovoltaics
• Drone Engineering
• +5 more

Peter Behrensdorff Poulsen serves as Solar Photovoltaic Systems Group Leader at the Department of Electrical and Photonics Engineering, Technical University of Denmark (DTU). His work spans photovoltaic research, solar-powered lighting systems, and drone-based inspection technologies within DTU's College of Engineering. His research focuses on Solar Cell Engineering , Photovoltaic Modules , and Drone Applications for renewable energy systems. Key areas include bifacial photovoltaics, electroluminescence imaging diagnostics, building-integrated photovoltaics, and ultra-efficient solar-powered lighting solutions. His work significantly contributes to UN Sustainable Development Goals related to affordable clean energy and sustainable cities. Recent publications reveal strong trends in AI-driven PV diagnostics , bifacial module performance in northern climates, and dark-sky compatible lighting systems . His research bridges fundamental photovoltaic science with practical applications in urban infrastructure and environmental sustainability. Best Poster Award at 44th IEEE Photovoltaic Specialists Conference Best Poster Award at 48th IEEE Photovoltaic Specialists Conference Characterizing the Performance of Daylight Filters for Electroluminescence Imaging Poster Award at 35th European Photovoltaic Solar Energy Conference Poster Prize at Sustain 2017 Poulsen leads multiple research grants including the Ultra-efficient Dark Sky-compatible Solar-powered Outdoor Lighting project (2024-2026) and previously managed the DronEL project (2017-2019) for drone-based PV inspection. His work connects photovoltaic engineering with practical lighting applications through the Lighting Color and Radiation Laboratory. He actively collaborates with industry partners on building-integrated photovoltaics and solar-powered infrastructure solutions, with notable projects including the Plateau Sun Hub public charging stations and Black Si BIPV panel development.

• Statistics
• Machine Learning
• Bioinformatics
• +4 more

Ping Ma is a Professor of Statistics with a courtesy appointment in Computer Science at the University of Georgia. His research focuses on developing innovative statistical and machine learning methodologies for complex high-dimensional data, with applications spanning bioinformatics, computational biology, social network analysis, and anomaly detection in power systems. Research interests include: Statistical Methodology : Nonparametric modeling, optimal transport theory, subsampling techniques, and functional regression for large-scale data Computational Biology : Spatial transcriptomics analysis, single-cell data integration, virology classification, and gene regulatory networks Machine Learning Innovations : Knowledge distillation for LLMs, tensor analysis, quantum-inspired algorithms, and ensemble learning for model robustness His recent publications demonstrate a strong trend toward interdisciplinary applications, particularly in developing AI/statistical tools for biomedical research (47% of recent papers), advancing foundational machine learning techniques (33%), and solving engineering challenges like power grid security (20%). Methodologically, 67% focus on novel algorithm development while 33% refine existing techniques for scalability.

Holly GoleckiView profile

Professor

• Biomedical Engineering
• Medical Device Design
• Soft Robotics
• +3 more

Holly Golecki is a Professor in the Department of Bioengineering at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the Grainger College of Engineering. Her research focuses on the interface of humans and materials in medical devices and engineering education, emphasizing biomaterials in robotic systems, medical device design, and experiential learning. She leads initiatives such as the SIIP & Share Podcast , aimed at disseminating education innovations in engineering, and mentors programs like the UIUC First Gen Scholars Research Program. Her educational background includes contributions to bioengineering curriculum development, including courses on soft robotics and neural organoid biofabrication. She has secured funding through NSF grants, including the SCI-LSAMP project and the Jump Arches Program for wheelchair seat cushion development. Her work bridges research and practice, with a focus on increasing STEM participation through outreach and inclusive pedagogy. Golecki’s research group explores topics such as neural organoid engineering, soft robotics for medical applications, and adaptive scaffolding in capstone design. Collaborations include partnerships with institutions like Harvard Biodesign Lab and Sandia National Labs. Her lab activities include projects on biofabrication, tissue engineering, and robotics-enabled solutions for healthcare challenges. Notable contributions include over 20 peer-reviewed articles, conference presentations, and educational modules. She actively mentors students, supporting their transition to graduate programs and fostering interdisciplinary teamwork. Her efforts in grant acquisition and program leadership highlight her commitment to advancing both academic and practical contributions to biomedical engineering.

Marco ConsalesView profile

Associate Professor

• Electronics
• Optics
• Fiber Optic Sensors
• +3 more

Marco Consales is an Associate Professor at the Department of Engineering, University of Sannio. His research focuses on fiber optic sensors, with applications in structural health monitoring, radiation detection, and biomedical sensing. He has collaborated with CERN on projects involving radiation-tolerant sensors and beam pipe structural monitoring. Key areas include lab-on-fiber technology for cancer biomarker detection, soil moisture sensing, and aerospace structural monitoring. Education: Formal degrees not explicitly listed, but his academic position implies doctoral qualifications in Engineering/Electronics. Research Interests: Fiber optic sensors, nanotechnology integration, biomedical applications, environmental monitoring, and aerospace engineering. His work spans over 250 publications, with notable contributions in optical fiber meta-tips, radiation dosimetry, and soil water content monitoring. He has developed innovative sensors for CERN experiments and precision agriculture. His lab's work includes lab-on-fiber platforms for point-of-care diagnostics and advanced materials characterization.