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Sang Bok LeeView profile

Professor

• Electrochemistry
• Nanomaterials
• Energy Storage
• +6 more

Sang Bok Lee is a Professor of Chemistry & Biochemistry at the University of Maryland. His research focuses on electrochemistry of heterogeneous nanomaterials for energy storage systems, nanopore transport properties, and biosensor development. He specializes in advanced materials for high-power batteries and electrochromic devices, with a strong emphasis on solid-state electrolyte interfaces and protective coatings. Research Interests: Electrochemistry of nanomaterials for energy storage Transport properties of nanopores Solid-state battery interfaces Biosensor design and nanoparticle toxicology Targeted drug delivery systems Chemical and biochemical separation techniques Recent work highlights include developing aluminum nitride protective layers for solid electrolytes, optimizing hot-pressed argyrodite electrolytes, and advancing in situ Raman diagnostics for battery materials. His studies on magnesium anode protection and lithium metal anode engineering have significantly impacted rechargeable battery technologies. Publications reflect a focus on nanomaterial synthesis, electrochemical stability, and energy storage innovations. No academic awards or student advisement details were explicitly cited in the text.

Mercedes TaylorView profile

Assistant Professor

• Inorganic and Organic Synthesis
• Porous Materials
• Supramolecular Assembly
• +3 more

Dr. Mercedes Taylor is an Assistant Professor in the Department of Chemistry and Biochemistry at the University of Maryland, College Park. She holds the Nathan Drake Faculty Fellowship. Previously, she was a Jill Hruby Fellow in National Security Science and Engineering at Sandia National Labs (2018–2021) and a Post-Baccalaureate Intramural Research Training Awardee at the NIH (2011–2013). She earned her Ph.D. in Chemistry from UC Berkeley (2018) and a B.A. in Chemistry from Amherst College (2011). Her research focuses on synthesizing novel materials like supramolecular cages, covalent organic frameworks, and porous polymers for applications in water purification and critical metal capture. Her lab emphasizes controlling material structure to achieve selectivity for target molecules and enhance aqueous stability. Key projects include ion separations, environmental remediation, and energy storage solutions. Dr. Taylor’s work has been recognized through awards such as the 2024 Doctoral New Investigator Award (ACS), 2023 DOE Separation Science Core Award, and the 2023 Moore Inventor Fellowship. She mentors a dynamic research group, including graduate students and post-baccalaureate researchers, and actively engages in interdisciplinary collaborations. Her lab is part of the Taylor Group at UMD, which develops advanced materials for ion capture and water treatment. Alumni of her group include researchers at Sandia National Labs and academic institutions, contributing to both industry and academia.

Kiwon UmView profile

Assistant Professor

• Physics-based Simulations
• Deep Learning
• Perceptual Evaluation of Simulations
• +3 more

Kiwon Um is a tenured Assistant Professor in the Computer Graphics group at Télécom Paris, France, since October 2019. He focuses on physics-based simulations and data-driven approaches using deep learning, with an emphasis on human visual perception in computer graphics and engineering applications. Education: Ph.D. in Computer Science and Engineering from Korea University His research explores effective simulation of natural phenomena through refined data utilization and develops reliable data acquisition methods for machine learning. He also investigates perceptual evaluation of simulations to advance numerical method understanding. Recent work trends include: (1) turbulence modeling with machine learning integration, (2) elastic material simulation stability, (3) fluid dynamics optimization, and (4) differentiable physics frameworks. His publications range from 2008 to 2025, covering topics like SPH solvers, porous shell simulations, and numerical method validation.

• Magnetic Resonance Imaging (MRI)
• Functional MRI (fMRI)
• Biomedical Imaging Physics
• +6 more

Dr. Gary Glover is a Professor of Radiology (Radiological Sciences Lab) at Stanford University , with courtesy appointments in Psychology and Electrical Engineering. His work focuses on the physics and mathematics of MRI, particularly rapid scanning methods using spiral k-space trajectories for functional brain imaging and multimodal neuroimaging (fMRI/EEG/fPET/fNIRS) combined with neuromodulation techniques like TMS and transcranial ultrasound. Academic Appointments: Radiology, Psychology, Electrical Engineering Professional Affiliations: Bio-X, Stanford Cancer Institute, Wu Tsai Neurosciences Institute Research Interests include: Development of blood oxygen level-dependent (BOLD) and viscoelastic contrast in MRI Functional MR Elastography for brain activation mapping Optimization of MR-ARFI for transcranial ultrasound guidance Automated spinal cord segmentation (EPISeg) using machine learning Scientific Awards : National Academy of Engineering (2013) Gold Medal, ISMRM (2000) Steinmetz Award, General Electric (1985) Lauterbur Lecture, ISMRM (2018) Recent Publications analyze: Fast fMRI sampling and spurious signal correction Dissociated patterns in default mode network anti-correlations Neural correlates of collaborative behavior in triadic fMRI Salience network contributions to depression pathophysiology

• Algorithms and Complexity
• Logic
• Database Theory
• +2 more

Martin Grohe is a Professor at the School of Logic and Theory of Discrete Systems , part of the Department of Computer Science at RWTH Aachen University . His research spans Algorithms and Complexity , Logic , Database Theory , Graph Theory , and Machine Learning , with a focus on integrating logical frameworks into computational models. His recent work explores graph neural networks , Weisfeiler-Leman algorithms , and parameterized complexity , as seen in publications on isomorphism testing , database repairing , and probabilistic query evaluation . While no specific scientific awards are mentioned, his contributions to graph theory and machine learning are widely recognized through numerous peer-reviewed publications.

Soumendra N. BasuView profile

Professor

• Environmental Barrier Coatings
• High-Temperature Materials Degradation
• Interface Structure and Chemistry
• +7 more

Soumendra N. Basu is a Professor of Mechanical Engineering and Associate Division Head of the Division of Materials Science and Engineering at Boston University. He earned his Ph.D. in Materials Science from MIT in 1989 and an M.S. in Materials Science from Case Western Reserve University. Basu leads two research labs and one undergraduate lab, focusing on materials degradation, coatings, and interface stability. High Temperature Oxidation Laboratory : Investigates oxidation behavior up to 1,600°C using advanced equipment. Microscopy Laboratory : Prepares electron-transparent samples for TEM analysis. Undergraduate Materials Laboratory : Trains students in metallography and materials testing. His research spans environmental barrier coatings for silicon-based ceramics, plasma-sprayed thermal barrier coatings , and photonic materials like InGaN alloys. He studies microstructural evolution, defect analysis, and degradation mechanisms under extreme conditions. Recent work includes modeling residual stresses and optimizing coatings for durability. Scientific Collaborators include: MIT Lincoln Labs Boston University colleagues: M. Gevelber, D. Wroblewski, V.K. Sarin UCLA's V. Gupta Basu has advised numerous graduate students, including Guosheng Ye and Dharanipal Doppalapudi , and his labs have received funding from NSF, DOE, and LANL. He also contributes to cricket, having won the MVP trophy for the Melbourne Cricket Club.

Andrew SchulerView profile

Associate Professor

• Environmental Engineering
• Microbial Ecology
• Biological Wastewater Treatment
• +4 more

Andrew J. Schuler is an Associate Professor in the Department of Civil Engineering at the University of New Mexico, where he has been since 2007. His research focuses on microbial processes in wastewater treatment and bioremediation, with particular emphasis on modeling distributed bacterial states, biofilm dynamics, and integrating molecular methods with environmental engineering. He teaches courses in water/wastewater treatment (CE 335) and biological wastewater treatment (CE 536). Ph.D., Civil and Environmental Engineering, University of California at Berkeley (1998) M.S., Civil and Environmental Engineering, UC Berkeley (1993) B.S., Civil Engineering, University of Colorado at Boulder (1987) Dr. Schuler's research addresses critical challenges in biological wastewater treatment , including: Microbial storage products and density effects on solids separation Agent-based modeling of bacterial state distributions Integrated fixed-film activated sludge (IFAS) systems Photolytic and microbial degradation of Superfund chemicals His recent publications explore biofilm surface chemistry , algae-based wastewater treatment , and computational modeling of microbial communities . Notable funded projects include NSF CAREER grants, NIEHS Superfund subprojects, and North Carolina Biotechnology Center collaborations. National Science Foundation CAREER Award (2004) Paul L. Busch Award (2008) AEESP/CH2M HILL Outstanding Doctoral Dissertation Award (1999) Japan Society for the Promotion of Science Postdoctoral Fellowship (1999) Dr. Schuler leads the Schuler Laboratory , which investigates microbial dynamics in wastewater treatment systems, develops the DisSimulator agent-based modeling tool, and provides practical solutions for activated sludge settling problems through density analysis. Current funding supports advanced research in biofilm optimization and sustainable water reuse technologies.

• Probability Theory
• Number Theory
• Statistical Mechanics
• +5 more

Louis-Pierre Arguin is a Professor of Mathematics at Baruch College, City University of New York, within the Weissman School of Arts and Sciences. His academic journey includes a Ph.D. in Mathematics from Princeton University, an M.Sc. in Physics from the University of Montreal, and a B.Sc. in Mathematics from the same institution. His research bridges probability theory, number theory, and statistical mechanics, with a focus on extreme value statistics of the Riemann zeta function and spin glass systems. Key areas include logarithmically correlated random fields, branching random walks, and connections between random matrix theory and number-theoretic functions. His work demonstrates how probabilistic methods can solve deep problems in analytic number theory, particularly regarding the distribution of extreme values of the zeta function on the critical line. Arguin's scholarly impact is reflected in publications in premier journals including Annals of Mathematics , Communications on Pure and Applied Mathematics , and Probability Theory and Related Fields . His research program explores the Fyodorov-Hiary-Keating conjecture, large deviations of Selberg's central limit theorem, and disorder chaos in spin glasses, revealing profound connections between number theory and statistical physics. Award for Excellence in Scholarship (Weissman School, 2022) Bourbaki Seminar Presentation (2019) Andre-Aisenstadt Prize (CRM Montreal, 2015) His mentorship includes supervising doctoral dissertations through Baruch's Mathematics Ph.D. program, while his grant portfolio features multiple National Science Foundation awards, including a CAREER grant focused on statistics of extrema in complex systems. He actively serves on departmental and university committees including the Executive Committee of the Mathematics Department and the Real Analysis Qualifying Exam Committee. Arguin maintains a robust research group collaborating with institutions worldwide and frequently presents at major international venues including the Institute for Advanced Study, Princeton University, and the Centre de Recherches Mathématiques in Montreal.

• British Politics
• Legislative Politics
• Political Economy
• +2 more

Professor Nick Vivyan is a Professor in Political Science at Durham University's School of Government and International Affairs, where he joined as Lecturer in Quantitative Social Research in 2010 and was promoted to Professor of Politics in 2018. He serves as Fellow of the Durham Research Methods Centre and Professor at the Centre for Institutions and Political Behaviour. Education: PhD in Political Science, London School of Economics (2010) Visiting Researcher, Stanford University (2008) Vivyan specializes in quantitative and experimental analysis of political behaviour, accountability, and representation with UK focus. His research bridges British politics, legislative studies, political economy, public opinion, and electoral systems through rigorous methodological innovation. He particularly examines voter-MP relationships, electoral dynamics, and methodological challenges in survey research. His recent publications reveal consistent focus on electoral behaviour measurement (turnout misreporting, constituency opinion estimation), legislative accountability mechanisms, and cross-national polarization trends. Methodologically, he pioneers experimental designs and survey innovations while maintaining historical and comparative perspectives. Supervision & Grants: PhD supervision in British/comparative politics, electoral behaviour, and legislative politics (e.g., Elisabeth de Vega Alavedra) Principal investigator on ESRC, British Academy, and Leverhulme Trust grants including £504k ESRC/AHRC project on electoral violence (1832-1914) Co-investigator on international projects funded by Austrian National Bank and European research councils As founding member of Durham's Centre for Institutions and Political Behaviour, Vivyan contributes to interdisciplinary research on political institutions and citizen behaviour while serving on the Editorial Board of Electoral Studies .

• Genome Integrity
• Structural Molecular Biology
• CRISPR-Cas Systems
• +3 more

Professor Guillermo Montoya is a Research Director and Group Leader at the Protein Structure & Function Program of the Novo Nordisk Foundation Center for Protein Research (CPR), University of Copenhagen, Denmark. His work focuses on unraveling cellular mechanisms at the atomic level through advanced methodologies including X-ray crystallography and cryo-electron microscopy. PhD in Chemistry, University of Zaragoza (1989–1993) MSc in Biochemistry, University of the Basque Country (1984–1989) Montoya's research spans Structural Molecular Biology and Genome Integrity , with specific emphasis on: Activation mechanisms of oligomeric kinases CRISPR-Cas12a conformational dynamics Macromolecular complexes in telomere maintenance His publications reveal significant contributions to CRISPR-Cas systems , kinase activation , and DNA/RNA degradation mechanisms . Scientific Awards: EMBO Member (2018) Spanish National Prize in Biomedicine (2009) Multiple Fellowships (EMBO, Marie Curie, FEBS, Marie Curie) Montoya's group integrates structural biology with cell biology to address fundamental questions in genome stability and biomedical applications. His work has been cited over 188 times for studies on CRISPR-Cas endonucleases and has attracted attention from 41 patents.

David S. CafisoView profile

Professor

• Biochemistry
• Biophysics
• Biophysics & Structural Biology
• +3 more

David S. Cafiso is a Professor in the Department of Molecular Physiology and Biological Physics at the University of Virginia. His research focuses on the molecular mechanisms of membrane transport and cell signaling, utilizing advanced techniques such as EPR spectroscopy, high-resolution NMR, and solid-state NMR. He has made significant contributions to understanding membrane protein structure and function, particularly in relation to synaptic vesicle exocytosis and bacterial nutrient transport. Education: AB, PhD in Biophysics from the University of California, Berkeley; Postdoctoral training at UC Berkeley and Stanford University His research interests span Biochemistry, Biophysics, Structural Biology, Neuroscience, and Microbiology. Recent work highlights conformational dynamics in membrane proteins, lipid-protein interactions, and the role of electrostatics in signaling. Publications emphasize PIP2 regulation, C2 domain function, and TonB-dependent transport systems, with applications in both bacterial physiology and neurosecretion. Professor Cafiso's laboratory investigates two primary areas: (1) Membrane protein attachment mechanisms critical for cell signaling, and (2) Solute transport across lipid bilayers in gram-negative bacteria. His studies often integrate biochemical, structural, and biophysical approaches to probe dynamic processes in membrane biology.

Gaël KermarrecView profile

Researcher

• Boundary Layer Meteorology
• Atmospheric Turbulence
• GNSS Applications
• +3 more

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

• Fluid Dynamics
• Mathematical Physics
• Partial Differential Equations
• +5 more

Vincenzo Sciacca is a Full Professor in the Department of Mathematics and Computer Science at the University of Palermo, Italy. His academic position is listed under classification code MATH-04/A, which typically refers to Mathematical Analysis in the Italian academic system. He maintains regular office hours on Thursdays from 3:00 PM to 6:00 PM at the Department of Mathematics and Computer Science, Via Archirafi 34, Office No. 216 (2nd floor). Professor Sciacca's research spans several areas of mathematical physics and fluid dynamics. His primary interests include: Fluid dynamics and vortex theory Partial differential equations, particularly Navier-Stokes and Euler equations Singularity formation in boundary layer theory Numerical analysis of complex fluid systems Mathematical modeling in geophysical fluid dynamics Complex singularity analysis for nonlinear systems Analysis of his recent publications reveals a strong focus on the mathematical aspects of fluid dynamics, with particular attention to singularity formation, vortex dynamics, and the behavior of solutions to fundamental equations in fluid mechanics. His work combines rigorous mathematical analysis with computational approaches to understand complex phenomena in fluid systems. Over the years, his research has evolved from fundamental studies of singularity formation to more applied problems in geophysical fluid dynamics and mathematical biology as evidenced by his 2024 paper on Multiple Sclerosis. Professor Sciacca maintains an active research profile with publications spanning from 1994 to the present, demonstrating sustained scholarly contribution to his fields of expertise. His work shows interdisciplinary reach, connecting pure mathematical analysis with applications in physics, geophysics, and biomedical modeling. He can be contacted at vincenzo.sciacca@unipa.it and maintains a personal web page at http://math.unipa.it/~sciacca/ where additional information about his teaching and research is available.

• Bioorganic Chemistry
• Chemical Biology
• Organic Chemistry
• +5 more

Prof. Dr. Norbert Sewald, Chair of Organic and Bioorganic Chemistry at Bielefeld University, is a leading figure in Bioorganic Chemistry , Chemical Biology , and Enzymatic Halogenation . As head of the Organic and Bioorganic Chemistry Group at the Center for Biotechnology (CeBiTec), he drives research on natural products and drug conjugates. Full Professor, Bielefeld University (since 1999) Founding Coordinator, International Graduate School of Chemistry and Biochemistry (2001-2003) Chairman, Institute of Biochemistry and Bioengineering at CeBiTec (2006-2008) Dean, Department of Chemistry (2008-2011) Chairman, Max-Bergmann-Kreis e.V. (since 2010) Coordinator, Marie Skłodowska-Curie Training Networks (MAGICBULLET, 2015-2018; Magicbullet::reloaded, 2020-2023) His research focuses on halogenases for mild peptide bromination, cryptophycin-based tumor targeting , and bioactive natural products from African flora. Collaborative projects span antiplasmodial agents , antibacterial compounds , and neurodegenerative disease inhibitors . Recent work highlights include: Enzymatic halogenation cascades Click-to-release drug conjugates Fluorescent probes for amyloid detection Key affiliations: Faculty of Chemistry Center for Biotechnology (CeBiTec) European Peptide Society (Scientific Affairs Officer, 2016-) Leibniz Institute of Plant Biochemistry (Scientific Advisory Board, 2010-2017)

Nina ReiserView profile

Associate Professor

• Financial Market Law
• Corporate Law
• Blockchain Technology
• +3 more

Nina Reiser is an Associate Professor of Financial Markets Law at the University of St. Gallen (HSG), Vice Director at the Institute for Law and Economics HSG, and co-founder of the Center for Financial Services Innovation HSG. She also holds an Adjunct Professorship in Private and Commercial Law at the University of Zurich (UZH) since December 2023. Her research and practice focus on financial market law, corporate governance, and regulatory compliance. Research Interests: Nina's work bridges corporate law with decentralized finance (DeFi), blockchain technology, and banking sector governance. She explores digital governance frameworks, regulatory challenges for decentralized autonomous organizations (DAOs), and supervisory instruments for financial stability. Her publications address Swiss and international financial regulations, emphasizing interdisciplinary collaboration. Awards & Editorial Roles: While no specific awards are listed, she serves as General Editor of CapLaw since 2025 and was elected to the board of the Association for Quality Assurance in Financial Services (VQF) in 2024. Her editorial leadership highlights her influence in capital markets discourse. Advising & Collaborations: She advises doctoral student Michael Kallenberg and collaborates with colleagues like Seraina Grünewald and Valentin Egli. Her roles at HSG include organizing symposiums on topics such as 'Regulated activities on public blockchains' and 'TBTF & Financial Stability' at ETH Zurich. Labs & Teams: Nina leads at the Institute for Law and Economics HSG and co-founded the Center for Financial Services Innovation HSG. These institutes drive research on financial regulations and technological legal integration.