جست‌وجوی استاد و پژوهشگر

Aleksandar Mijatovicمشاهده پروفایل

استاد

• Probability
• Stochastic Processes
• Mathematical Finance
• +۵ مورد دیگر

Aleksandar Mijatović is a Professor of Probability at the Department of Statistics, University of Warwick, and Deputy Head of Department for Research. He was previously Chair in Probability at King's College London and Reader in Probability at Imperial College London. His research focuses on probability theory, stochastic processes, mathematical finance, numerical stochastics, and data science. He holds a Ph.D. in low-dimensional topology from Trinity College Cambridge and worked as a quantitative analyst in foreign exchange derivatives before academia. Research interests include stochastic analysis of processes with jumps, simulation methods (e.g., Monte Carlo), stochastic control, and applications in finance. He is a Fellow of the Alan Turing Institute and maintains a YouTube channel, Prob-AM, explaining his research. His work often bridges theoretical probability with practical applications in finance and data science. Key publications explore topics like reflected Brownian motion, Lévy processes, branching processes, and stochastic gradient descent. Collaborations with institutions like King’s College London and Imperial College London highlight his academic networks. His contributions span theoretical advancements and computational methodologies, with applications in risk management, option pricing, and algorithm development.

Thomas Heldtمشاهده پروفایل

دانشیار

• Computational Physiology
• Neuromonitoring
• Critical Care Informatics
• +۲ مورد دیگر

Thomas Heldt is Associate Professor of Electrical and Biomedical Engineering in the Department of Electrical Engineering and Computer Science at MIT, and a Principal Investigator at MIT's Research Laboratory of Electronics. He leads the Integrative Neuromonitoring and Critical Care Informatics Group and serves as Associate Director of the Institute for Medical Engineering and Science. Research focuses on: Noninvasive intracranial pressure monitoring Computational models of cerebrovascular dynamics Sepsis detection algorithms Wearable physiological monitoring Clinical decision support systems Recent publications (2022-2024) demonstrate advances in hemodynamic modeling, diagnostic algorithms for critical care, and AI applications for physiological monitoring. Key innovations include open cranium models for intracranial hypertension studies, deep learning frameworks for fatigue assessment, and mobile-based neurocognitive tracking. Professor Heldt collaborates with Boston Children's Hospital, Beth Israel Deaconess Medical Center, and Boston Medical Center to translate research into clinical practice. His work has been recognized through the W.M. Keck Career Development Professorship and IEEE EMBS Distinguished Lectureship.

Benjamin Fehrmanمشاهده پروفایل

استادیار

• Stochastic Analysis
• Stochastic Partial Differential Equations
• Statistical Physics
• +۵ مورد دیگر

Benjamin Fehrman is an Assistant Professor in the Department of Mathematics at Louisiana State University, specializing in stochastic analysis with a focus on stochastic partial differential equations and their applications to statistical physics. His research encompasses diffusion processes in random environments, stochastic homogenization, and randomized optimization algorithms in machine learning. His research interests center on the mathematical theory of stochastic partial differential equations, particularly those arising in statistical physics. Fehrman investigates fluctuating hydrodynamics, non-equilibrium systems, and the connection between interacting particle systems and their continuum limits. His work often involves developing well-posedness theory for challenging SPDEs with conservative noise structures and analyzing large-scale behavior in random media. Analysis of his recent publications reveals a strong focus on conservative stochastic PDEs and their connection to interacting particle systems, particularly the zero-range process and symmetric simple exclusion process. His research shows increasing attention to large deviation principles, kinetic formulations of skeleton equations, and the mathematical foundations of fluctuating hydrodynamics. The interdisciplinary nature of his work bridges probability theory, partial differential equations, and mathematical physics. Fehrman's research has been supported by prestigious grants including the National Science Foundation DMS-Probability Standard Grant 2348650, the Simons Foundation Travel Grant MPS-TSM-00007753, and the Louisiana Board of Regents RCS Grant 20130014386. He has supervised PhD students Andrea Clini (University of Oxford, 2020-2024) and Shyam Popat (University of Oxford, 2021-present), as well as postdoc Simone Floreani (University of Oxford, 2022-2023). Fehrman has also organized significant academic events including the "Interacting Particles, Fluctuating Systems, and SPDEs" workshop at the University of Oxford in June 2023, funded by an EPSRC Early Career Fellowship. His teaching portfolio includes advanced courses in stochastic analysis, stochastic differential equations, and stochastic homogenization at both Louisiana State University and the University of Oxford, where he previously held a position.

Olivia C. Fiebigمشاهده پروفایل

استادیار

• Membrane Biophysics
• Lipid-Protein Interactions
• Photosynthesis
• +۳ مورد دیگر

Olivia C. Fiebig is an Assistant Professor of Chemistry at Smith College, where she conducts interdisciplinary research at the intersection of biophysics and membrane science. Her work combines biochemical, spectroscopic, and physical methodologies to investigate fundamental membrane behaviors with implications for biological systems. Her educational background includes: Ph.D. in Chemistry from the Massachusetts Institute of Technology B.S. and B.A. from Rowan University Dr. Fiebig's research centers on membrane biophysics , specifically examining how lipids and proteins interact within cell membranes to influence biological processes. She employs model membrane systems such as vesicles and nanodiscs to study lipid behavior, protein-lipid interactions, and the physical properties governing membrane assembly. A significant portion of her work focuses on photosynthetic light-harvesting complexes in purple bacteria, utilizing ultrafast spectroscopy to probe energy transfer dynamics under varying environmental conditions. Analysis of her recent publications reveals consistent emphasis on optimizing model membrane systems to replicate biological complexity, with particular attention to photosynthetic acclimation strategies and the effects of ionic environments on membrane and protein stability. Her work bridges fundamental biophysical principles with practical applications in understanding biological membrane function. Her notable recognition includes: Eberly Postdoctoral Research Fellow Dr. Fiebig leads an active research laboratory that trains students in advanced biophysical techniques while advancing understanding of membrane organization and function. Her group's work on near-native membrane systems represents a significant methodological contribution to the field.

E. Thomas (Tommy) Pashuckمشاهده پروفایل

استادیار

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +۶ مورد دیگر

E. Thomas (Tommy) Pashuck is an Assistant Professor in the Department of Bioengineering at Lehigh University , where he joined after postdoctoral training at Rutgers University and Imperial College London . His research focuses on designing enzyme-responsive biomaterials using peptide self-assembly to control hydrogel chemistry and nanoscale organization , aiming to improve regenerative medicine applications. Education: Ph.D. in Materials Science from Northwestern University (2009) Pashuck's work explores biomaterials that direct cell behavior through precise spatial and mechanical cues . Recent publications highlight advancements in high-throughput peptide screening , 4D bioprinting , and protease-activated hydrogels , demonstrating his expertise in dynamic biomaterial design and cell-matrix interactions . His research group investigates cell adhesion optimization via ligand mobility control , enzyme-mimicking nanomaterials , and sequence-controlled polymerization while maintaining clinical translation goals. Publications from 2021-2025 emphasize hydrogel mechanics , biodegradable scaffolds , and supramolecular catalytic systems , spanning biomaterial engineering , peptide nanotechnology , and regenerative medicine .

Leone Leonidaمشاهده پروفایل

استاد

• Banking and Finance
• Econometrics
• Systemic Risk Analysis
• +۵ مورد دیگر

Professor Leone Leonida is a faculty member at King's College London's King's Business School, holding the title of Professor of Finance and Economics within the School of Economics and Finance. He holds an MSc in Economics and PhDs from the University of York (2005) and the University of Naples (2001). His research focuses on systemic banking crises, corporate investment strategies, and income distribution dynamics, employing advanced econometric and computational methods. Key themes include the role of banking sector concentration, securitization, and systemic contagion in crisis prediction, as well as the interplay between political competition, institutions, and economic outcomes. Affiliations: King's Business School, King's College London Education: PhD in Financial Economics (University of Naples, 2001); PhD in Economics (University of York, 2005); MSc Economics Research Interests: His work bridges financial economics and political economy, addressing topics such as: Banking system stability and regulation (Basel Accords impacts) Corporate finance decisions under capital constraints Political competition effects on economic growth and policy Income distribution dynamics using semiparametric techniques Publications: Over 30 peer-reviewed articles in top journals including Journal of Banking and Finance , Journal of Applied Econometrics , and Physics of Life Reviews . Recent work examines Brexit's labor market effects, Italian political dynamics, and liquidity risk in interbank networks. Grants/Advising: No specific grants listed, but extensive refereeing activity for 30+ economics/finance journals. No explicitly listed advisees. Labs/Teams: Engaged in quantitative finance and macroeconomic research collaborations, particularly in modeling human behavior and systemic risk.

• Food Science
• Thermal Processing of Foods
• Inverse Problems and Parameter Estimation
• +۳ مورد دیگر

Kirk D. Dolan is a Professor at Michigan State University (MSU), holding joint appointments in the Department of Food Science and Human Nutrition (lead) and the Department of Biosystems & Agricultural Engineering within the College of Agriculture & Natural Resources. His research focuses on thermal processing modeling of foods and inverse problems in food science, utilizing advanced computational tools like MATLAB and COMSOL for parameter estimation. He actively contributes to food safety through extension work, including co-teaching the FDA-mandated Better Process Control School and HACCP courses. PhD, Agricultural Engineering, Michigan State University, 1989 MS, Agricultural Engineering, University of California, Davis, 1985 BS, Agricultural Engineering, University of Florida, 1983 Dolan’s research spans thermal processing technologies (canning, drying, aseptic processing), inverse problem solving, and statistical methods for food researchers. His recent publications emphasize antioxidant analysis, kinetic modeling, and computational approaches in food systems. Recent publications highlight advancements in parameter estimation for food processing, including studies on thermal conductivity in cherry pomace, starch viscosity models, and microbial inactivation dynamics. His work bridges computational methods with practical applications in food safety and quality preservation. 2019 CANR Camden Endowed Teacher/Scholar Award Dolan chairs the triennial Inverse Problems Symposia at MSU and co-teaches graduate courses like BE 835 (Modeling Methods in Biosystems Engineering). His extension work supports Michigan food entrepreneurs through FDA product registration assistance and industry training programs.

Mathias Munschauerمشاهده پروفایل

پژوهشگر

• Molecular Virology
• RNA Biology
• Host-Pathogen Interactions
• +۷ مورد دیگر

Mathias Munschauer leads the Department of Molecular Virology at Heidelberg University's Faculty of Medicine, within the Center for Infectious Diseases. His research group focuses on unraveling RNA regulatory mechanisms that govern viral infection outcomes, with emphasis on HCV, HBV, and Dengue virus. His research interests lie at the intersection of RNA biology and virology, particularly in understanding how viral RNA molecules interact with host cell components. The lab employs cutting-edge methodologies including RAP-MS and SHIFTR for RNA interactomics, integrated with functional genomics, single-cell transcriptomics, and AI-driven analysis of high-dimensional data. This systems-level approach enables the identification of host factors and regulatory pathways critical for viral replication and immune evasion. The recent publications highlight a strong trend toward spatially and temporally resolved analysis of RNA-protein interactions across diverse RNA viruses. There is a consistent focus on developing and applying innovative technologies to map host-virus interfaces, with applications in identifying antiviral targets and understanding infection mechanisms. The work spans molecular, cellular, and systems biology, with increasing integration of computational and machine learning approaches. Systems virology RNA-protein interactomics Host-pathogen interactions CRISPR screening Single-cell analysis Antiviral strategies Dr. Munschauer mentors a research team and contributes to the doctoral program in Infectious Diseases. His lab develops and shares novel reagents and methods, fostering collaborative science. While specific grants are not listed, the technological sophistication suggests substantial funding support. The lab operates within a vibrant research environment alongside other virology groups such as AG Bartenschlager and AG Ruggieri. The Munschauer Lab is part of a larger virology and infectious disease research ecosystem at Heidelberg University, collaborating across disciplines to advance understanding of viral pathogenesis. The team actively develops and applies innovative tools for RNA-centric discovery, positioning the group at the forefront of molecular virology.

• Chiral Recognition
• Enantiomeric Separations
• Ionic Liquids
• +۵ مورد دیگر

Daniel W Armstrong is a Professor at the University of Texas at Arlington in the Department of Chemistry and Biochemistry. With over 35 years of experience, he is a pioneering figure in chiral recognition, enantiomeric separations, and the biological relevance of D-amino acids. His work has led to over 740 publications, 35 patents, and 560 invited seminars worldwide. Developed first chiral recognition mechanism by cyclodextrins First to use macrocyclic antibiotics as chiral selectors Synthesized most new ionic liquids (ILs) globally Created ultra-fast separation techniques now standard in analytical chemistry Contributed to FDA 1992 guidelines on chiral drug separation His research focuses on chiral separations, ionic liquids, and the role of D-amino acids in biological systems. He has commercialized over 30 HPLC and GC columns, transforming analytical chemistry and pharmaceutical analysis. Recent publications demonstrate continued innovation in chiral chromatography, biomarker analysis, and AI-driven separation optimization. His grants include industry collaborations with Merck, Alcon, and Sigma-Aldrich, emphasizing practical applications of his work. Scientific honors include multiple lifetime achievement awards, fellowships in the Royal Society of Chemistry and American Chemical Society, the Chirality Medal, and induction into the National Academy of Inventors. He has mentored over 100 PhD students, many from first-generation college backgrounds.

Dirk Schneiderمشاهده پروفایل

استاد

• Membrane Biochemistry
• Biophysics
• Protein-Lipid Interactions
• +۴ مورد دیگر

Prof. Dirk Schneider is a Full Professor (W3) of Biochemistry at Johannes Gutenberg University Mainz since 2010, with previous appointments at the University of Freiburg (2003-2009) and postdoctoral training at Yale University. His research spans membrane biochemistry, biophysics, and transmembrane protein folding/assembly, focusing on thylakoid membrane biogenesis and protein-lipid interactions in cyanobacteria and chloroplasts. Current roles: Full Professor, University Mainz Previous roles: Assistant Professor (W1), University of Freiburg Education: PhD (summa cum laude) from Ruhr-University Bochum His research interests include: Membrane protein folding and stability ESCRT-III/Vipp1/PspA family structural dynamics ABC transporter activity regulation (e.g., BmrA) Protein-lipid interaction mechanisms Thylakoid membrane remodeling Comparative membrane biology between prokaryotes and eukaryotes Development of spectroscopic and computational methods Recent publications reveal trends in bacterial membrane remodeling (SynDLP, PspA), lipid effects on transporter activity (BmrA), and IM30/Vipp1-mediated membrane fusion. His work combines structural biology, biophysics, and functional assays to elucidate membrane dynamics. Awarded the Dr. Heinrich Kost Award (2001) and Leopoldina Fellowship (2001) , he has held leadership roles including Study Section Speaker (2010-2014) , Director of Institute of Pharmacy and Biochemistry (2013-2015) , and Dean of Faculty of Chemistry (2015-2020) . His scientific advisory roles include editorial board memberships and study section leadership.

• Environmental Microbiology
• Wastewater-Based Epidemiology
• Antimicrobial Resistance
• +۸ مورد دیگر

Jennifer Weidhaas is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Utah since 2016. She holds a PhD and MS in Civil and Environmental Engineering from the University of California-Davis, and a BS in Civil Engineering from Montana State University. A registered Professional Engineer, her research spans environmental microbiology, wastewater epidemiology, and sustainable water treatment technologies. Education: BS, Civil Engineering, Montana State University (1999) MS, Civil and Environmental Engineering, UC Davis (2002) PhD, Civil and Environmental Engineering, UC Davis (2006) Her research focuses on environmental microbiology , quantitative microbial risk assessment , and water treatment innovations , particularly for munition compounds and PFAS. She leads the E-Sure Research Lab, integrating biotechnology with civil engineering to address challenges in wastewater reuse, biosolid application, and contaminant fate. Her work on ion exchange systems and nanofiltration models has advanced sustainable treatment train design. Key findings from her publications include: Optimized ion exchange systems for NTO removal with 99% efficiency NSF CAREER-funded wastewater surveillance models for pathogen tracking Life cycle assessments showing 22% lower environmental impact with IX-AGR-ozone configurations Development of microbial degradation pathways for insensitive munition compounds Scientific recognition includes: Outstanding Mentor (2018, University of Utah) Multiple Teaching Excellence Awards (2015-2017) Best Paper Award (ASEE, 2017) NSF CAREER Award (2016) She actively engages in community outreach, training 80 K-12 teachers in engineering and organizing water quality testing events for Salt Lake City households. Her teaching portfolio includes graduate thesis supervision and undergraduate courses like Life Sciences in Engineering .

• Wave Physics
• Medical Imaging
• Telecommunications
• +۶ مورد دیگر

Mathias FINK is a Professor at ESPCI Paris on the Georges Charpak chair. His research focuses on fundamental wave physics in complex media with major applications in medical imaging, telecommunications, and geophysics. He pioneered time-reversal mirrors for wave focusing and co-founded 6 technology companies. Key Institutions: ESPCI Paris, Collège de France Research Themes: Wave physics, time-reversal techniques, matrix imaging, metasurface design His work spans multi-echo wave systems , ultrasonic therapeutic devices , and adaptive electromagnetic communication systems . Recent publications emphasize 3D matrix imaging in biological tissues and space-time interface dynamics . Scientific recognition includes: First academic elected at Collège de France (2008) Over 400 peer-reviewed publications 70+ patents and 6 start-ups Collaborations extend to Institut des Hautes Études Scientifiques , Langevin Institute , and Hong Kong University of Science and Technology . His team's volcanic imaging work with seismic noise has revolutionized subterranean mapping.

Ahmet Yildizمشاهده پروفایل

استاد

• Motor Proteins
• Intracellular Transport
• Cytoskeletal Dynamics
• +۴ مورد دیگر

Ahmet Yildiz serves as Professor of Biochemistry, Biophysics and Structural Biology and of Physics at the University of California, Berkeley, leading an active research laboratory in Stanley Hall focused on the biophysical mechanisms of intracellular transport. Research interests center on motor protein dynamics, particularly dynein and kinesin function along cytoskeletal tracks. The Yildiz Laboratory employs integrated approaches including single-molecule fluorescence imaging, optical trapping, and cryo-electron microscopy to investigate how motors achieve processive movement, generate force in crowded cytoplasmic environments, and are regulated by adaptor proteins and microtubule-associated proteins (MAPs). Key projects examine dynein activation by Lis1/NudE, bidirectional transport reconstitution for mitochondrial cargo, and the "MAP code" hypothesis governing motor recruitment. Recent publications (2023-2025) demonstrate consistent focus on structural-mechanistic insights into dynein-dynactin complexes and regulatory mechanisms, with emerging connections to neurodegenerative disease pathways through neuronal transport studies. The work bridges quantitative biophysics with cellular physiology through advanced in vitro reconstitution techniques. The laboratory operates within UC Berkeley's collaborative research ecosystem, utilizing specialized facilities for high-resolution structural biology and single-molecule analysis to advance fundamental understanding of cellular organization principles.

Bo Chenمشاهده پروفایل

دانشیار

• Biomacromolecular assemblies
• Nuclear Magnetic Resonance (NMR) techniques
• Viral capsid structure and dynamics
• +۳ مورد دیگر

Bo Chen is an Associate Professor in the Department of Physics at the University of Central Florida (UCF), part of the College of Sciences. He earned his PhD in Physics from Northwestern University in 2007 and held research positions at the NIH before joining UCF in 2011. His research focuses on structural characterization of biomacromolecular assemblies using NMR, TEM, and computational modeling, particularly HIV capsid proteins and antimicrobial peptides. Education: PhD in Physics, Northwestern University (2007). Research Interests: Solid-state NMR techniques, self-assembly mechanisms of viral capsids, nano particle catalysis, and antimicrobial peptide dynamics. His lab develops novel coarse-grain models and integrates experimental and computational approaches to study biomolecular systems. Awards: 2012 UCF Inhouse Award, 2013 AFOSR Young Investigator Award, 2016 COS Dean’s Rising Star Award, and 2020 Mid-Career Refreshment Award. Labs/Teams: Leads the Bo Chen NMR Lab at UCF, focusing on interdisciplinary approaches to structural biology and biophysics. Current students include Tyrone Thames (PhD), with notable alumni like Xin Qiao and Jaekyun Jeon.

Chris A. Flaskمشاهده پروفایل

استاد

• Quantitative Magnetic Resonance Imaging
• MRI Physics
• Pulse Sequence Design
• +۹ مورد دیگر

Dr. Chris A. Flask is a Professor at the Case Western Reserve University School of Medicine, with joint appointments in Radiology, Pediatrics, and Biomedical Engineering. He serves as Co-Director of the Imaging Research Core and Associate Director of the Medical Scientist Training Program, while also contributing to the Cancer Imaging Program at the Case Comprehensive Cancer Center. Research Focus Quantitative Magnetic Resonance Imaging (MRI) MRI Physics and Pulse Sequence Design Lung Imaging in Cystic Fibrosis Kidney Imaging in Polycystic Kidney Disease, Sickle Cell Disease, and Diabetic Nephropathy Liver Imaging for Inflammation and Fibrosis Scientific Recognition Distinguished Investigator Award 2023 from The Academy for Radiology and Biomedical Imaging Research Reviewer with Distinction for Magnetic Resonance in Medicine Semi-Finalist for ISMRM Young Investigator Award 2013 His recent publications focus on pH-responsive imaging agents, MR fingerprinting techniques, and applications in pediatric and adult diseases. Dr. Flask's work bridges technical MRI innovation with clinical translation across multiple organ systems.