Eduardo Mercado III is a Professor in the Department of Psychology at the University at Buffalo, College of Arts and Sciences. His research focuses on bioacoustics, cognitive psychology, and marine ecology, particularly the vocal behavior of humpback whales and its implications for understanding human impact on marine ecosystems. He is also known for his work in perceptual learning, autism spectrum disorder, and comparative cognition. Scientific Awards Guggenheim Fellowship Harvard Radcliffe Institute Fellowship Research Trends His recent publications emphasize bioacoustic analysis of humpback whale songs, including their spectral entropy, cyclical variations, and adaptive adjustments to anthropogenic noise. Additional work explores perceptual learning mechanisms in autism, neural network modeling for acoustic classification, and cognitive processes in canines and rodents. Projects Mercado’s “Singers as Sentinels” project combines acoustic analysis of humpback whale songs with public awareness initiatives about ocean noise pollution. The project will produce a book, Why Whales Sing and Dolphins Don’t , and a web-based interface for public engagement.
Yu Xia is a Post Doc at the Department of Chemistry, Stockholm University, Sweden. He is affiliated with the Tom Willhammar Research Group, focusing on advanced electron microscopy and diffraction techniques for structural characterization of materials. PhD (2019–2023) from a joint program between the University of Birmingham (UK) and the Southern University of Science and Technology (China). Research emphasizes fabrication of metallic nanoparticles with non-equilibrium structures and shapes using gas-phase condensation and thermal shock methods. Specializes in scanning transmission electron microscopy (STEM), in-situ heating experiments, and electron energy loss spectroscopy (EELS) for nanoparticle analysis. Current work prioritizes 4DSTEM imaging for electron beam-sensitive materials and Python-based post-processing of electron microscopy datasets. Yu Xia's research spans Materials Science , Nanotechnology , and Electrocatalysis , with applications in photocatalytic hydrogen evolution , graphene composites , and advanced electron microscopy techniques . His work often integrates computational image processing with structural characterization to optimize material properties. Publications highlight innovations in heterostructure engineering , metallic alloy catalysts , and electron beam-sensitive material imaging . No scientific awards are explicitly mentioned in the provided text. Yu Xia's technical expertise includes Python scripting for image analysis, in-situ electron microscopy , and multifunctional graphene-based materials .
Professor Inge Hoff is affiliated with the Norwegian University of Science and Technology (NTNU) in the Department of Civil and Environmental Engineering, where he has served since 2009. Prior to this, he held roles as senior researcher and research leader at SINTEF. Research Interests : Materials for road construction, frost protection, laboratory testing, pavement dimensioning, road rehabilitation, state development modeling, ground-penetrating radar surveys, and concrete/natural stone coverings. Students : Mentors active PhD fellows Lisa Hannasvik, Arman Hamidi, Clara Weber, and Shoiab Ahmad. Teaching : Coordinates courses like TBA4204/BYGT1102 Transport Infrastructure , BYGT2204 Road and Railway Construction , and BA8600 Pavement Structure Dimensioning . Recent publications highlight his expertise in granular material behavior, asphalt durability under climate stressors, and advanced structural assessment techniques. Collaborations with international researchers and presentations at major conferences (TRB, International Conference on Bituminous Mixtures) demonstrate his ongoing contributions to road engineering.
Rita Aiello is an Adjunct Associate Professor in the Department of Psychology at New York University's College of Arts & Science. Her research focuses on the cognitive and perceptual processes involved in musical listening, with particular emphasis on neuroaesthetics, music learning, and memory. She holds an Ed.D. from Columbia University and has held faculty positions at institutions including the Juilliard School and the Manhattan School of Music. Her work bridges music theory, cognitive science, and education, with a lifelong background as a classical pianist. Education: Columbia University (Ed.D.), Manhattan School of Music (M.M., B.M.), Conservatorio San Pietro a Maiella (Diploma in Music Theory) Certifications: Kodály and Orff Methods Her research explores how musical training influences cerebral dominance, the relationship between mental representations and emotional responses to music, and the cognitive underpinnings of musical memory. She has published widely on topics ranging from musical expectation to pedagogical strategies for memorization. Recent work investigates evolutionary perspectives on singing and the psychological mechanisms behind musical communication. Publications reflect interdisciplinary engagement with music's structural rules, metaphorical dimensions, and its role in human cognition. While no specific grants or awards are listed, her extensive international teaching experience includes visiting roles at institutions in Rome and Lugano, Switzerland, and an honorary appointment at Columbia University's Teachers College.
Joey Yang is a Professor of Civil Engineering at the University of Alaska Anchorage (UAA), serving as Associate Director of the Alaska University Transportation Center and Director of the Geotechnical and Frozen Ground Engineering Research Laboratory. His expertise spans geotechnical and earthquake engineering with a focus on cold regions, including permafrost dynamics, infrastructure resilience, and de-icing technologies. He holds a Ph.D. from the University of California, Davis, and a B.S. from Chengdu University of Science and Technology. Education: Ph.D., Civil and Environmental Engineering, University of California, Davis B.S., Hydraulic Engineering, Chengdu University of Science and Technology Research Interests: Dr. Yang's work addresses geotechnical challenges in cold regions, including permafrost thaw, seismic site response, frozen soil-pile interaction, and fungal mycelium-based biofoams for insulation. His research is funded by NSF EPSCoR, USGS, USDOT, and others. Professional Contributions: Chief Editor, ASCE Journal of Cold Regions Engineering Editorial Board Member, Cold Regions Science and Technology Keynote/Theme Session Speaker at International Permafrost and Earthquake Conferences Awards: Arctic Kicker Prize (2015) Outstanding Reviewer Awards (2010, 2014) ASTM Technical Editors Award (2014) Advising & Grants: Dr. Yang has advised over 20 visiting scholars and secured multi-million-dollar grants for cold regions infrastructure research. His lab focuses on advancing technologies for permafrost engineering, seismic resilience, and sustainable construction. Labs/Teams: Leads the Geotechnical and Frozen Ground Engineering Research Laboratory, collaborating with global partners on cold regions challenges.
Prof. Walter Richtering is a Universitätsprofessor at RWTH Aachen University, affiliated with JARA-SOFT and the Institute of Physical Chemistry (IPC). His research focuses on soft matter physics, colloids, and polymer chemistry with emphasis on microgels, nanogels, and their applications in biomaterials and materials science. He leads the 'Physical Chemistry of Solids' group and contributes to the CRC 985 (Functional Microgels and Microgel Systems). Key interests include quantifying softness in colloids, interfacial phenomena, and developing educational tools like AFM-based microgel experiments for undergraduate labs. Position: Professor of Physical Chemistry Affiliations: JARA-SOFT, IPC RWTH Aachen, CRC 985 Research Groups: Physical Chemistry of Solids, Polymers and Colloids His work explores structure-property relationships in soft materials, including phase behavior under non-equilibrium conditions, thermoresponsive systems, and catalytic microgel applications. Recent studies address microgel mechanics, anisotropic architectures, and filtration technologies.
David Henderson is the Director of the Cyclone Testing Station (CTS) in the School of Engineering and Physical Sciences at James Cook University, Australia. He has over two decades of experience as a research engineer specializing in the performance of low-rise buildings under extreme wind conditions. He previously served as the CTS Research Fellow and Manager, and was seconded as a Postdoctoral Researcher at the University of Western Ontario, Canada, working on full-scale house testing under simulated wind loads. His work bridges engineering research, disaster assessment, and policy development. David's research focuses on wind engineering, structural resilience, and disaster mitigation. His key interests include cyclonic wind loading, internal and external pressure dynamics in buildings, fatigue failure of structural connections, and the vulnerability of housing to severe wind events. He has conducted post-disaster surveys across Australia and Canada, assessing damage from cyclones, tornadoes, and earthquakes. His research has direct applications in building codes, retrofitting strategies, and community risk reduction. The recent publications highlight a strong trend in understanding and mitigating wind-induced damage to residential structures, particularly through full-scale testing, modeling of pressure dynamics, and fragility assessment of roofing systems. His work spans experimental, theoretical, and policy-oriented domains, with a growing emphasis on climate change adaptation and community resilience. Topics such as internal pressure design, load sharing in roof frames, and retrofitting for wind resistance are central to his contributions. 14 research awards (specific names not listed) Active member of Standards Australia code committees Invited speaker at national and international conferences Media contributor on storm damage and building safety David has led multiple research projects funded by councils and agencies focused on extreme wind mitigation, data systems (SWIRLnet), and community risk reduction. While formal student supervision is not explicitly listed, he collaborates extensively with researchers such as John Ginger, Korah Parackal, and Daniel Smith. He has contributed to major studies involving wind load testing, housing vulnerability modeling, and climate adaptation planning. David is a key figure in the Cyclone Testing Station, leading its full-scale testing program and contributing to the development of software for controlled load and measurement systems. His team conducts wind risk assessments for communities and large installations, incorporating terrain analysis and retrofitting evaluations. The CTS serves as a national resource for wind engineering research and disaster resilience innovation.
Daniel M Liberzon is the Richard T. Cheng Professor in the Department of Electrical and Computer Engineering and a Professor at the Coordinated Science Laboratory (director of the Decision and Control group) at the University of Illinois Urbana-Champaign. He also holds an affiliate appointment in the Department of Mathematics. Ph.D. in Mathematics from Brandeis University (1998), advised by Roger W. Brockett (Harvard) Undergraduate studies in Mathematics at Moscow State University (1989-1993) His research interests focus on theoretical and applied aspects of nonlinear, switched, and hybrid systems with limited information. Key areas include: Stability analysis via Lyapunov functions and Lie algebras Finite-data-rate control and topological entropy Robust synchronization and observers Stochastic switched systems Supervisory control for uncertain systems Recent scientific awards include: IFAC Fellow (2016) IEEE Fellow (2013) AACC Donald P. Eckman Award (2007) IFAC Young Author Prize (2002) NSF CAREER Award (2002) He has taught graduate courses such as ECE 517 (Nonlinear and Adaptive Control), ECE 553 (Optimum Control Systems), and ECE 586 DL (Hybrid Systems and Control). Current sponsored projects include NSF grants on switching control and AFOSR MURI on hybrid dynamics.
Dr. Gaël Kermarrec is a researcher at the Boundary Layer Meteorology Group , part of the Institute of Meteorology and Climatology within the Faculty of Mathematics and Physics at Leibniz University Hannover . His work focuses on atmospheric turbulence, GNSS applications, and remote sensing for environmental monitoring. Boundary layer meteorology Turbulence theory GNSS signal processing Terrestrial laser scanning Climate change impacts Geodetic time series analysis His research integrates advanced mathematical models like LR B-splines and Matérn covariance with large eddy simulations to study: Atmospheric turbulence effects on optical/GNSS signals Hydrospheric mass loading Deformation analysis of terrain/port infrastructure Climatic sea-level changes Machine learning for remote sensing The 15 most recent articles (2025-2023) demonstrate his focus on: GNSS-based turbulence detection AI-enhanced climate mapping Advanced surface approximation techniques Multi-sensor data fusion Stochastic modeling of geodetic observations Environmental impacts on optical measurements He has developed tools like the Klimascanner QGIS plugin for urban climate resilience and contributes to: Understanding atmospheric scale lengths Improving TLS/GNSS deformation monitoring Analyzing hydrospheric changes Wavefront modeling Ionospheric corrections
Elizabeth J. Marsh is a Professor of Psychology and Neuroscience at Duke University and a Faculty Network Member of the Duke Institute for Brain Sciences . Her work bridges cognitive psychology, neuroscience, and education, with a focus on memory accuracy, misinformation, and aging. Education: Ph.D., Stanford University (1999) B.A., Drew University (1994) Research Interests: Marsh investigates how memory can be both accurate and erroneous, exploring questions like why people misremember facts, how fiction influences memory, and how aging affects decision-making and belief formation. Her work intersects with social psychology , developmental psychology , and educational psychology . Scientific Awards: Langford Lecture Award (2010) Grants & Funding: Aging and Finding Information: Using Google vs. Relying on Other People (2015–2025) Effects of Aging on Episodic Memory-Dependent Decision Making (2018–2025) When are pictures worth a thousand words? Debunking misinformation with images (2022–2023) Advancing Artificial Intelligence for the Naval Domain (2018–2023) Leveraging Older Adults' Social Goals to Improve Memory and Strategy Use (2018–2020) Exploring the potential of essay testing for improving memory and learning (2013–2019) Courses Taught: PSY 990: Special Readings in Psychology PSY 765S: Psychology and Neuroscience Grant Writing PSY 755: Research Practicum PSY 724S: Survey of Current Topics in Psychology and Neuroscience II PSY 723S: Survey of Current Topics in Psychology and Neuroscience I PSY 102: Cognitive Psychology: Introduction and Survey NEUROSCI 755: Interdisciplinary Program in Cognitive Neuroscience (IPCN) Independent Research Rotation
Hua Ge is a Professor in the Department of Building, Civil and Environmental Engineering at Concordia University's Faculty of Engineering and Computer Science. She holds a Tier II Concordia University Research Chair in High Performance Building Envelope for Climate Resilient Buildings and leads extensive research in building science and climate adaptation. Her research focuses on wind-driven rain analysis , hygrothermal performance of building envelopes , advanced building facades , innovative wood-frame construction , and low-energy buildings . Current work examines climate change impacts on wind-driven rain loads, urban micro-climate effects, climate-resilient building envelopes, dynamic facades, and low-carbon healthy buildings. Her methodology combines large-scale laboratory testing, field monitoring, and computational modeling. Her 15 most recent publications demonstrate strong trends in nature-based climate resilience solutions , overheating risk mitigation in educational buildings , advanced hygrothermal modeling of wood-frame systems , and carbon sequestration strategies for buildings. The work spans multiple sub-disciplines including computational fluid dynamics, life cycle assessment, stochastic modeling, and field validation studies across Canadian climates. Tier II Concordia University Research Chair (CURC) in High Performance Building Envelope for Climate Resilient Buildings Professional Engineers of Ontario American Society of Heating, Refrigerating and Air-conditioning Engineers ASHRAE TC4.4 Building materials and building envelope performance (Subcommittee Chair) Professor Ge has supervised 42 graduate students (26 PhD, 16 MASc), including current advisees working on nature-based solutions, climate-resilient envelopes, and building integrated photovoltaics. Her research is supported by Concordia University Research Chair funding and collaborative projects with institutions like BCIT. She directs activities at Concordia's Building Envelope Test Facility and contributes to national standards through ASHRAE.
Dr. Neashan Mathavan is a Lecturer in the Department of Health Sciences and Technology at ETH Zürich, affiliated with the Institut für Biomechanik . His research focuses on musculoskeletal biomechanics, aging-related bone deterioration, and spatial omics approaches to study fracture healing and mechanoregulation. He has pioneered work on mouse models of premature aging (e.g., PolgA mice) to investigate sex-specific mechanisms of bone regeneration and frailty. Key areas include spatial transcriptomics, osteocyte function, and the role of mechanical loading in musculoskeletal repair. Dr. Mathavan’s research integrates advanced imaging techniques (e.g., spatial μProBe, super-resolution spatial transcriptomics) with biomechanical testing to elucidate molecular and structural changes in aging bones. His recent studies emphasize the interplay between mechanical signals and molecular pathways in bone regeneration, particularly in contexts like osteoporosis and osteoarthritis. He has also developed novel osteochondral explant models to study cartilage-bone crosstalk in osteoarthritis. His publications span 2009–2025, with a focus on translational studies linking mechanobiology to clinical outcomes. Notable contributions include investigating the efficacy of BMP-7 and zoledronate therapies in bone regeneration, as well as the role of IL-1β in osteochondral tissues. His work has implications for personalized therapies targeting musculoskeletal aging and degenerative diseases. Dr. Mathavan supervises PhD students like Riyin Tay, who explored palliative care for advanced dementia patients. He collaborates on grants involving biomechanical modeling, spatial omics, and transgenic mouse models. His laboratory at ETH Zürich’s Institut für Biomechanik is equipped for advanced imaging, mechanical testing, and molecular biology.
Elizabeth Miller serves as Department Chair and Professor of Marketing at the Isenberg School of Management, University of Massachusetts Amherst. Her academic leadership includes roles as PhD Coordinator since 2013 and prior appointments as Assistant and Associate Professor at UMass and Boston College. Her research centers on affect-driven consumer behavior , with specialization in health decisions, consumer well-being, and social impact. Key themes include emotional influences on information processing, CSR authenticity, and crisis-driven behavioral shifts during events like the COVID-19 pandemic. Her work bridges marketing theory with practical applications in food security, medical decision-making, and sustainable consumption. Miller's recent publications reveal strong trends in emotional drivers of pro-social behavior (e.g., awe in environmental actions, community philanthropy during crises) and methodological innovation in health communication (e.g., data visualization for medical choices). Her scholarship increasingly focuses on collective well-being frameworks and youth-led social entrepreneurship ecosystems. Best Research Paper, Direct/Interactive Marketing Research Summit (2013) Research Excellence Award, Isenberg School (2013) Mellon Mutual Team Mentorship Grant (2012) As PhD Coordinator, she mentors doctoral candidates in consumer behavior and experimental design. Her teaching spans doctoral seminars on experimental methodology to undergraduate courses in advertising and services marketing. Miller directs research partnerships with social impact organizations, focusing on food access equity and community resilience building. Her lab initiatives emphasize translational research through collaborations with public health agencies and social enterprises, particularly in post-pandemic food systems and medical decision support tools. Current projects explore linguistic humanization of service robots and youth entrepreneurship ecosystems.
Gaetano Miraglia is a Fixed-term Assistant Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino, where he conducts research in structural health monitoring, seismic analysis, and computational modeling. He is a member of the Interdepartmental Center R3C – Responsible Risk Resilience Centre, contributing to interdisciplinary efforts in risk mitigation and infrastructure resilience. His work spans both theoretical and applied domains, with strong emphasis on heritage preservation and sustainable urban development. His research interests include Bayesian calibration of nonlinear models, hybrid simulation, peridynamics, masonry structures, and the integration of satellite interferometric (InSAR) data with in-situ measurements for structural monitoring. He applies advanced computational and machine learning techniques to improve the accuracy and reliability of structural assessments, particularly in historical and monumental buildings. His work supports UN Sustainable Development Goals 9, 11, and 13. His recent publications demonstrate a consistent focus on data fusion, digital twinning, domain adaptation, and real-time damage detection. He frequently collaborates with researchers such as Rosario Ceravolo and Erica Lenticchia, publishing in high-impact journals like Computer-Aided Civil and Infrastructure Engineering , Structures , and Scientific Reports , as well as at major conferences including EWSHM, SAHC, and EVACES. His research is applied in projects such as the monitoring of the Vicoforte Sanctuary and the development of the CAMELOT and HY-LEARN toolboxes. Research Projects: MONITORAGGIO VICOFORTE (2024–2026) – Member of Research Group CAMELOT – PoC Transition (2023–2024) – Member of Research Group HY-LEARN – Model Calibration via Hybrid Simulation and ML (2022–2024) – Scientific Manager (PNRR Mission 4) He teaches in various programs, including as a course collaborator in PhD, Master’s, and Bachelor’s level courses such as Earthquake Engineering , Structural Consolidation , and Seismic Risk of Cultural Heritage . He is also an inventor on national and international patents and software related to the CAMELOT toolbox, highlighting the translational impact of his research. He has no listed scientific awards or formal advisees in the provided text.
Andreas Grothey is a Senior Lecturer in the School of Mathematics at The University of Edinburgh, a position he has held since 2011. He completed his MSc in Numerical Algebra and Mathematical Computing at the University of Dundee (1995) and his PhD in Optimization at the University of Edinburgh (2001), supervised by Ken McKinnon. His research focuses on stochastic programming, interior point methods, decomposition approaches, high-performance computing, and energy systems optimization. He has contributed to energy planning, power grid reliability, and emergency response strategies for power networks. Grothey has advised seven PhD students, including work on unit commitment, top-percentile traffic routing, and power flow optimization. His projects include the OOPS solver, CESI energy integration center, and the Structured Modelling Language (SML). Recent work addresses pandemic policy optimization and exascale computational challenges. Education: MSc in Numerical Algebra and Mathematical Computing (University of Dundee, 1995) PhD in Optimization (University of Edinburgh, 2001) Research Interests: Stochastic Programming Interior Point Methods Decomposition Methods High-Performance Computing Energy Systems Optimization Advising & Projects: PhD Supervision (7 students, 2007–2022) OOPS Parallel Solver Development CESI Energy Systems Integration SML Structured Modelling Language Labs/Teams: Member of the Edinburgh Research Group on Optimization, leading projects in power grid stability and energy planning.
