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Derek DreyerView profile

Professor

• Programming Languages
• Formal Verification
• Type Theory
• +6 more

Derek Dreyer is the Scientific Director at the Max Planck Institute for Software Systems (MPI-SWS) and an Honorary Professor of Computer Science at Saarland University , Germany. He received his Ph.D. in Computer Science from Carnegie Mellon University (CMU) in 2005 under advisors Bob Harper and Karl Crary. Research Interests : Programming languages, formal verification, type theory, separation logic, concurrent systems, memory models, and machine code verification. His work bridges theoretical foundations with practical verification of real-world systems, notably in Rust and C programming. Recent Publications : Focus on Rust's aliasing models (e.g., Tree Borrows), foundational verification (e.g., RefinedC), and separation logic frameworks (e.g., Iris and its extensions). Trends include robust property preservation, interoperability verification (OCaml-C), and incorrectness logic for bug detection. Scientific Awards : European Research Council (ERC) Grant for high-impact research and the ACM SIGPLAN Robin Milner Young Researcher Award (POPL 2018). As an educator and mentor, he has contributed to workshops like PLMW and RTFM, offering guidance on academic writing, talks, and career challenges. His personal blog reflects on impostor syndrome, academic life, and interdisciplinary parallels between science and the arts.

• Solvated Electrons
• Non-Linear Spectroscopy
• Generalized Master Equations
• +3 more

Dr. Thomas Sayer is a Leverhulme Early Career Fellow in the Department of Chemistry at Durham University. His work bridges theoretical chemistry and quantum dynamics, with a focus on solvated electrons and electrochemical interfaces. Research Interests Non-linear spectroscopy and generalized master equations Electrolyte solutions and electrode interfaces Photoelectrochemistry and quantum diffusion His recent publications highlight advances in quantum transport modeling and non-equilibrium thermodynamic simulations , particularly through the development of space-local memory formulations in generalized master equations. Scientific Awards : Leverhulme Early Career Fellowship

• Nuclear Physics
• Theoretical Nuclear Reactions
• Collective Excitations in Nuclei
• +4 more

Volodymyr Plujko is a Professor in the Nuclear Physics Department at the Physical Faculty of Taras Shevchenko National University of Kyiv, Ukraine. He has held this position since 2000 and also served as a Leading Scientific Researcher (part-time) at the Institute for Nuclear Research of NAS Ukraine until 2019. His research focuses on: Gamma-emission from equilibrium and pre-equilibrium states Statistical description of nuclear reactions Damping of collective excitations in hot nuclei Memory effects in collision integrals Photon strength functions for nuclear reaction modeling Shape evolution of giant dipole resonances Selected publications (2019-1996) demonstrate expertise in nuclear level density, gamma-transition modeling, and Fermi-system dynamics. Recent work includes updating photonuclear data libraries for IAEA and validating theoretical models for gamma-ray strength functions. His research spans both fundamental and applied nuclear physics, with applications to neutron-induced reactions and fission fragment analysis. Scientific awards include grants from INTAS, Soros Foundation, and DFG collaborations. Current projects aim to refine gamma-transition models for nuclear reaction calculations.

Ross Harvey ColmanView profile

Researcher

• Crystal Growth
• Structure Determination
• Magnetism
• +6 more

Ross Harvey Colman is a materials scientist affiliated with the Department of Condensed Matter Physics at Charles University's Faculty of Mathematics and Physics. His research bridges solid-state chemistry and condensed matter physics, focusing on crystal growth, magnetic frustration, superconductivity, and multiferroic systems. He works with advanced techniques like Kerr microscopy, muSR spectroscopy, and laser-heated pedestal methods for single-crystal synthesis. Primary affiliation: Charles University (Faculty of Mathematics and Physics, Department of Condensed Matter Physics). Key research areas: Magnetic domain dynamics, quantum spin liquids, pyrochlore and kagome lattices, strain-tuned superconductivity, and phase transitions in martensitic alloys. Recent work emphasizes frustrated antiferromagnets, spin-glass ground states, and structural/magnetic correlations in complex oxides and intermetallic compounds. His 15 most recent publications (2023–2025) span topics from Ni-Mn-Ga magnetic shape memory alloys to quantum disordered states in rare-earth zirconates. These studies employ experimental approaches like high-pressure crystallography, synchrotron X-ray diffraction, and specific heat measurements. Colman's work often combines materials synthesis with detailed magnetic and structural characterization.

Pierre LucasView profile

Professor

• Chalcogenide Glasses
• Phase Change Materials
• Liquid-Liquid Phase Transitions
• +4 more

Pierre Lucas is a Professor of Materials Science and Engineering and Professor of Optical Sciences at the University of Arizona, where he has served since 2001, rising from Assistant to Associate and then to full Professor in 2012. He also directed the CNRS International Associated Laboratory for Materials and Optics from 2009 to 2017. His educational background includes: PhD in Physical Chemistry, Arizona State University, 1999 BS in Chemistry, University of Rennes, France, 1993 Dr. Lucas's research focuses on the structure, properties, and applications of chalcogenide glasses and phase change materials . Key areas include liquid-liquid phase transitions , polyamorphism , calorimetry of amorphous solids , and the development of infrared fibers and biomedical sensors . His work bridges fundamental glass science with practical optical and memory applications through techniques like femtosecond X-ray spectroscopy and Raman analysis. His recent publications (2022-2025) reveal intense focus on atomic-scale relaxation dynamics, crystallization kinetics, and fragile-to-strong transitions in glasses. These studies employ advanced methods like X-ray photon correlation spectroscopy to probe structural changes, directly informing next-generation memory devices and infrared photonics systems. Dr. Lucas has received three teaching awards, though specific award names are not documented in source materials. He maintains significant academic leadership as Associate Editor for the Journal of American Ceramic Society and former Chair (2017-2018) of the Glass and Optical Materials Division of the American Ceramic Society. He has chaired two international conferences on Glass and Optical Materials and serves annually on SPIE Biomedical Optics program committees. His international collaboration extends through past directorship of the CNRS International Associated Laboratory for Materials and Optics and invited professorships at institutions in France, Mexico, and China.

Monica ZakhariView profile

Assistant Professor

• Multiscale Modelling
• Complex Matter
• 3D Printing
• +7 more

Monica Zakhari is an Assistant Professor in the Processing and Performance of Materials group at Eindhoven University of Technology (TU/e). Her research focuses on multiscale modeling and simulations of complex matter, including suspensions, emulsions, and biological systems, with applications in 3D/4D printing, responsive coatings, drug delivery, and microfluidics. She employs computational and theoretical tools to study mechanics and hydrodynamics of soft permeable particles. B.Sc. in Engineering and Material Science, German University in Cairo (Egypt) M.Sc. in Computational Mechanics, Erasmus Mundus program (Polytechnic University of Catalonia and Swansea University) Ph.D. in Mechanical Engineering, TU/e (2018) Her research bridges fundamental phenomena in complex matter with industrial applications. Key areas include particle morphology, micromechanics, and design of functional materials. Recent work investigates slip-stick transitions and shape dynamics in permeable particle systems. From 2018–2020, she conducted postdoctoral research at Stanford University and the University of Texas at Austin. She was awarded the Ernest Hinton Memorial Prize in 2013 for best master thesis at Swansea University.

Xuhui HuangView profile

Professor

• Theoretical Chemistry
• Molecular Biophysics
• Protein Folding
• +6 more

Dr. Xuhui Huang is the Hirschfelder Chair in Theoretical Chemistry and Professor of Chemistry at the University of Wisconsin-Madison. He also serves as Director of the Theoretical Chemistry Institute and leads interdisciplinary research bridging computational chemistry, biophysics, and machine learning. Education: B.S. (2001) - University of Science and Technology of China Ph.D. (2006) - Columbia University Postdoctoral Fellow (2006-2009) - Stanford University Research Focus encompasses theoretical chemistry and molecular biophysics, particularly: Development of advanced Markov State Models and Generalized Master Equations for biomolecular dynamics Elucidating RNA polymerase conformational changes and molecular recognition mechanisms Creating novel integral equation theories for solvation and deep-learning-based drug discovery frameworks Extracting structural ensembles from heterogeneous cryo-EM datasets Publication Trends reveal his group's emphasis on merging statistical mechanics with machine learning for studying: Protein folding pathways and allosteric regulation RNA polymerase dynamics and error-prone transcription Self-assembly processes and solvation modeling Development of open-source tools like EPIPY and FeatureDock Applications in drug-resistant pathogen targeting and unnatural base pair transcription Scientific Leadership includes: NSF grant recipient for polarizable 3DRISM model development Organizer of CECAM workshops on biomolecular dynamics Educational innovator - developed UW-Madison's 'Machine Learning in Chemistry' course Collaborative Network spans institutions like UCSF, Stanford, MIT, and HKUST, with group alumni transitioning to Bay Area biotech and top graduate programs.

Olalekan BabaniyiView profile

Assistant Professor

• Inverse Problems
• Biomechanical Imaging
• Computational Mechanics
• +3 more

Olalekan Babaniyi is an Assistant Professor in the School of Mathematics and Statistics at the Rochester Institute of Technology (RIT), within the College of Science. His research focuses on inverse problems with applications in biomechanical imaging, computational mechanics, and PDE-constrained optimization. He develops mathematical techniques to improve medical imaging and environmental modeling, including real-time imaging of soft tissue mechanical properties and ice flow prediction. He teaches courses such as Probability and Statistics, Boundary Value Problems, and Partial Differential Equations. His work has been highlighted in media for innovative applications in noninvasive disease diagnosis and climate science. Babaniyi runs the Inverse Problems Seminar at RIT (InvPrS) and has published extensively in journals like The Cryosphere, Journal of Nonlinear and Variational Analysis, and Physics in Medicine & Biology. His research emphasizes uncertainty quantification, image denoising in biomedical contexts, and solving inverse problems in viscoelasticity and geophysics. While no personal awards are listed, his contributions have supported student achievements, such as Quinn Kolt’s Goldwater Scholarship in 2021.

I. Joga RaoView profile

Professor

• Continuum Mechanics
• Constitutive Modeling
• Shape Memory Polymers
• +5 more

Dr. I. Joga Rao is a Professor in the Department of Mechanical and Industrial Engineering at the New Jersey Institute of Technology (NJIT). He joined NJIT in 2000 and served as Department Chair from 2014 to 2024. His research focuses on continuum mechanics and constitutive modeling with applications in polymers, biomechanics, and high-temperature materials. Education Ph.D. in Mechanical Engineering, Texas A&M University (1999) M.S., University of California, Berkeley (1992) B.Tech., Indian Institute of Technology, Bombay (1990) Research Focus Dr. Rao specializes in the thermodynamics and mechanics of smart materials, particularly shape memory polymers. His work integrates theoretical frameworks with numerical simulations to model light-activated systems, crystallization dynamics, and biological tissue growth. Key research themes include: Multi-physics modeling of polymer systems Viscoelastic behavior under thermal/optical stimuli Inhomogeneous deformation mechanisms High-temperature material performance Publication Trends Recent publications demonstrate a strong focus on advanced shape memory polymers, including triple-shape systems, light-activated networks, and crystallizable materials. Computational modeling of thermo-mechanical behavior and experimental validation are consistent themes. Work frequently combines continuum mechanics with polymer physics to predict complex material responses. Awards and Honors Robert W. Van Houten Award for Teaching Excellence (2010) Air Force Summer Faculty Fellow (2009, 2008) NJIT Excellence in Teaching Award (2008) Newark College of Engineering Teaching Award (2005) Grants and Advising His research has been funded by NSF, DOE, and the Air Force. While specific student advisees aren't listed, his leadership as department chair suggests extensive academic mentorship. No explicit lab/team details are provided in the source text.

Caroline Lea-CarnallView profile

Lecturer

• Neuroscience
• Neuroimaging (MRI/MRS)
• Neurotransmitter Dynamics
• +3 more

Dr. Caroline Lea-Carnall is a Lecturer in Biological Sciences within the Division of Psychology Communication and Human Neuroscience at The University of Manchester. Her research focuses on neuroimaging techniques (e.g., MRI/MRS), neurotransmitter dynamics, and neurological disorders such as Neurofibromatosis Type 1. She holds memberships in key organizations including the Organisation for Human Brain Mapping and the International Society for Magnetic Resonance in Medicine. Education: PhD in Neuroscience from University of Manchester (2017): 'Investigating properties of functional brain networks using the resonance phenomena' MSc in Computational Neuroscience and Neuroinformatics (Distinction), University of Manchester BSc Mathematics (1st Class Honours), University of Leeds Research Interests: Her work explores synaptic plasticity mechanisms, neuroimaging methodology improvements, and the application of computational models to understand brain network dynamics. She investigates how neurotransmitters like glutamate and GABA influence brain function and recovery post-injury. Key themes include: Cortical neurotransmitter quantification via MRS Frequency-dependent neural entrainment and stimulation Cognitive and structural correlates of mental health disorders Neurological disorders such as Neurofibromatosis Type 1 and brachial plexus injuries Research Trends: Recent publications highlight advancements in MRS methodology, neuroplasticity mechanisms in disease states, and translational research linking brain structure/function to socioeconomic/mental health outcomes. She frequently collaborates on interdisciplinary projects involving computational modeling and clinical neuroimaging. Labs/Teams: Active contributor to the Division of Psychology Communication and Human Neuroscience, leading projects on brain network dynamics and neuroimaging validation. Co-developed datasets like 'Frequency-dependent cortical plasticity: evidence from psychophysics, functional imaging and computational modelling' (2017).

Hannah Wayment-SteeleView profile

Assistant Professor

• Biomolecular Folding
• Chemical Biology
• Enzymology
• +4 more

Hannah Wayment-Steele is an Assistant Professor in the Department of Biochemistry at the University of Wisconsin–Madison, affiliated with the School of Medicine and Public Health and Biostatistics and Medical Informatics. She holds a B.A. from Pomona College, M.Phil. from Cambridge University, Ph.D. from Stanford University, and postdoctoral training at Brandeis University. Her research integrates computational and experimental approaches to understand biomolecular dynamics, leveraging deep learning and NMR spectroscopy. Key focuses include predicting protein dynamics via AlphaFold2, interpreting evolutionary statistics in sequence motifs, and applying these insights to enzyme design and drug discovery. Awards include the Jane Coffin Childs Fellowship. The lab collaborates on crowdsourced challenges and de novo enzyme design projects. Education: B.A. Pomona College (Theoretical Chemistry), M.Phil. Cambridge University, Ph.D. Stanford University (Chemistry), Postdoc Brandeis University (Biophysics). Research emphasizes quantitative biology, structural biology, and chemical enzymology. The lab’s work bridges computational models with experimental validation, particularly using NMR relaxation dispersion to study protein dynamics. Current projects involve optimizing mRNA therapeutics and designing RNA-based molecular switches through crowdsourcing initiatives. Scientific Awards: Jane Coffin Childs Memorial Fund Fellowship. Grants: Likely supported by NIH and UW-Madison startup funds (explicit grants not listed in texts). Advises PhD students Kritika Kumari and Cizhang Zhao, and collaborates with interdisciplinary teams. Labs/Teams: Wayment-Steele Lab at UW-Madison Biochemistry, affiliated with Biostatistics and Medical Informatics.

Jeffrey BaconView profile

Researcher

• X-ray Crystallography
• Materials Science
• Inorganic Chemistry
• +3 more

Jeffrey Bacon, PhD, is a Researcher at Boston University, primarily affiliated with the Department of Chemistry in the College of Arts and Sciences. He also holds an affiliation with the Division of Materials Science and Engineering. Dr. Bacon manages the single crystal X-ray diffraction laboratory in the Chemical Instrumentation Center and oversees three X-ray scattering/diffraction instruments in the Core Research Facility of Materials Science and Engineering. His work focuses on advanced materials characterization, organometallic catalysis, and structural chemistry. His research interests include transition metal complexes, catalytic systems, and the application of X-ray crystallography to study molecular structures. Notable contributions involve ligand design for pH-responsive materials, enzyme-mimetic systems, and the synthesis of bioactive naphthoquinones. Bacon has also explored magnetic properties of lanthanide-transition metal hybrids and structural analysis of cycloparaphenylenes. Key technical expertise includes high-resolution X-ray diffraction techniques, organometallic cluster synthesis, and spectroscopic characterization (NMR, EPR). His publications span inorganic chemistry, materials science, and catalysis, with emphasis on structural insights driving functional material design. Bacon's facilities support interdisciplinary research across chemistry, biochemistry, and engineering.

Sigrid AdriaenssensView profile

Professor

• Civil Engineering
• Structural Engineering
• Sustainable Infrastructure
• +5 more

Sigrid Adriaenssens is a Professor of Civil and Environmental Engineering at Princeton University, affiliated with the High Meadows Environmental Institute (HMEI) as part of the Grand Challenges Program. Her research focuses on innovative structural design methods, including form-finding for lightweight structures, resilience engineering, and sustainable construction practices. She leads the Form Finding Lab, which integrates computational mechanics, robotics, and material science to develop adaptive architectural systems. Her academic background includes advanced degrees in civil engineering, with a specialization in structural systems and environmental sustainability. Key research interests span durability of infrastructure, structural optimization, historic preservation, and robotic fabrication techniques for zero-waste construction. Notable contributions include the development of LightVault (a robotic masonry design system), studies on seismic-resistant shell structures, and investigations into metamaterials for tunable folding systems. Awards include the 2024 IMI Innovation Award for AR Masonry advancements. Her work bridges theory and practice, with collaborations spanning architecture, robotics, and environmental science. Current projects explore AI-driven form-finding, cooperative robotics for disassembly, and wind-steering systems for urban ventilation.

Moses CharikarView profile

Professor

• Algorithms
• Machine Learning
• Approximation Algorithms
• +4 more

Moses Charikar is the Donald E. Knuth Professor of Computer Science at Stanford University, with a courtesy appointment in Mathematics. He earned his B.Tech. from the Indian Institute of Technology Bombay (1995) and a Ph.D. from Stanford University (2000). His research focuses on high-dimensional data processing, machine learning optimization, approximation algorithms, and metric embeddings. Charikar has held faculty positions at Princeton University (2001–2015) and spent time at Google Research. Research interests include algorithmic techniques for massive data sets, convex optimization for non-convex problems, and low-distortion metric embeddings. His work has led to influential contributions like locality-sensitive hashing (LSH), earning the Paris Kanellakis Award (2012) and ACM Fellowship (2021). He has also received the Simons Investigator award (2014) and multiple best-paper accolades at top conferences. Awards: Donald E. Knuth Professorship (Stanford) 2012 Paris Kanellakis Theory and Practice Award ACM Fellow (2021) Simons Investigator in Theoretical Computer Science (2014) Charikar’s research bridges theoretical computer science and practical applications, with notable contributions to clustering, approximation algorithms, and data analysis. His publications span algorithm design, computational geometry, and machine learning theory.

Margaret KokerView profile

Assistant Professor

• Materials Science
• X-ray Techniques
• Computational Modeling
• +4 more

Margaret Koker is an Assistant Professor of Physics at Lawrence University, located in Youngchild Hall. Her research focuses on using x-ray techniques, computational modeling, and data analysis to study material composition and behavior. She teaches a broad range of physics topics, emphasizing inclusivity and diverse representation in STEM education. Koker holds a BS in Mechanical Engineering from Boston University (2007), an MS from the University of Illinois (2009), and a Dr. rer. nat. from the Max Planck Institute of Metals Research & Universität Stuttgart (2013). Since joining Lawrence in 2018, she has contributed to interdisciplinary work in materials science and STEM advocacy. Her research interests include advanced materials characterization through x-ray diffraction, phase transformations in nanomaterials, and mechanical behavior of metals and polymers. She has explored topics such as organic semiconductor devices, copper sulfide nanoparticles, and stress relaxation in magnesium alloys. Her work often bridges experimental and computational methods, aiming to uncover material properties at micro- and nano-scales. Koker’s publications span from 2013 to 2022, with a focus on materials science applications in both academic and heritage contexts. While no scientific awards are explicitly listed, her contributions to STEM inclusivity and facility development (e.g., CHESS upgrades) highlight her commitment to collaborative and impactful research. Her teaching philosophy prioritizes accessibility and engagement across all academic levels.