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Joanne ColeView profile

Professor

• Particle Physics
• High Energy Physics
• Proton Structure Analysis
• +9 more

Dr. Joanne Cole is a Reader in the Electronic and Electrical Engineering department at Brunel University London . With a PhD from the ZEUS experiment at DESY (1999), she transitioned to the CMS experiment at CERN in 2005. Her roles include Chair of the Tracker Editorial Board and Secretary of the CMS Tracker Institution Board , reflecting her leadership in experimental particle physics. PhD in Particle Physics (ZEUS Experiment, 1999) Active member of CMS Collaboration since 2005 Chair of Tracker Editorial Board Secretary, CMS Tracker Institution Board STFC Science in Society Small Award recipient Her research spans proton structure analysis , top quark physics , and CP-violating Higgs production . She also leads initiatives like “Girls Allowed!” to promote women in physics, supported by her involvement in the Athena SWAN committee . Her 15 most recent publications reflect dual expertise in experimental particle physics and science education. Single Top Quark + Z/W Boson Interactions CMS Silicon Strip Tracker Performance Detector Upgrade R&D Gender Diversity in STEM Undergraduate Engineering Pedagogy Scientific awards include the STFC Science in Society Small Award , while her advisory role extends to supervising a PhD student working on CMS Tracker Data Quality Monitoring . Research grants focus on CMS Tracker upgrades for the Super-Large Hadron Collider. She has contributed to over 30 publications and collaborates with institutions like CERN and AIP Publishing.

• biomaterials
• bone research
• calcification
• +10 more

Jerome Ackerman, Ph.D. serves as an Associate Professor of Radiology at Harvard Medical School and as an Investigator at the Mass General Research Institute. He is affiliated with the Athinoula A. Martinos Center for Biomedical Imaging, located at 149 13th Street, Charlestown, MA 02129. His work bridges academic medicine and advanced imaging technology development. Dr. Ackerman's research focuses on innovative applications of magnetic resonance imaging, particularly in the areas of biomaterials, bone research, and interventional radiology. His laboratory, the Biomaterials and Extremity Scanner Laboratory, develops cutting-edge MRI instrumentation and methodologies. His primary research themes include MRI Therapy (particularly MR Radiofrequency Ablation and MR Coagulation technologies), Solid State MRI and MRS of Bone and Biomaterials, and Moving MRI systems for vestibular and traumatic brain injury studies. His publication record from 2002-2023 demonstrates consistent contributions across medical imaging, orthopedics, and biomaterials science. His recent work has focused on advanced applications of MRI for orthopedic implants, high-field imaging of bone structures, and novel methods for multi-nuclear spectroscopy. Dr. Ackerman received his B.S. in Chemistry from Stony Brook University (1971), followed by a Ph.D. in Physical Chemistry from MIT (1976), and completed postdoctoral training at the University of California, Berkeley (1977). His educational background in physical chemistry has clearly informed his approach to medical imaging physics and biomaterials characterization.

• Structural Biology
• Enzymology
• Protein Crystallography
• +5 more

Timothy Mueser is a Professor in the Department of Chemistry & Biochemistry at the University of Toledo's College of Natural Sciences and Mathematics. His research program focuses on structural biology and enzyme mechanisms using advanced crystallographic techniques to study protein structure and function at atomic resolution. Dr. Mueser's research interests center on structural enzymology, with particular emphasis on pyridoxal 5'-phosphate (PLP)-dependent enzymes such as tryptophan synthase and aspartate aminotransferase. His laboratory employs neutron diffraction, X-ray crystallography, and NMR techniques to visualize atomic-level details of enzyme active sites, protonation states, and hydrogen bonding networks. He has also made significant contributions to hemoglobin research and DNA replication studies, particularly with bacteriophage T4 systems, where he has investigated helicase loading proteins and replication fork architecture. Analysis of Dr. Mueser's recent publications reveals a consistent focus on visualizing the fundamental chemistry of enzyme catalysis. His work on PLP-dependent enzymes has provided unprecedented insights into hydrogen bonding networks, protonation states, and quantum effects in enzyme mechanisms. He has pioneered the use of neutron diffraction and microgravity crystallization techniques to overcome traditional limitations in visualizing hydrogen atoms in proteins, which is critical for understanding catalytic mechanisms. Dr. Mueser has collaborated extensively with researchers including Constance A. Schall (8 publications), Xiche Hu (3 publications), and Kandace J. Williams (2 publications). His work spans multiple disciplines including Biochemistry & Molecular Biology, Biophysics, Cell Biology, Chemistry, Crystallography, and Virology, demonstrating the interdisciplinary nature of his research program.

Dominic GloverView profile

Senior Lecturer

• Protein Engineering
• Synthetic Biology
• Biomaterials
• +5 more

Dr. Dominic Glover is a Senior Lecturer at the University of New South Wales (UNSW) in the School of Biotechnology and Biomolecular Sciences, a position he has held since 2017. Prior to this, he served as a Project Scientist, Associate Specialist, and Postdoctoral Research Fellow in the Department of Chemical and Biomolecular Engineering at the University of California, Berkeley from 2010 to 2016. Dr. Glover's research focuses on applying synthetic biology for the engineering of proteins into structured and functional biomaterials. His work centers on creating standardized protein building blocks composed of ultrastable filamentous proteins and connectors that assemble into geometrically-defined structures of controllable size and shape. This research has significant implications for developing protein nanostructures with atomic-level accuracy, opening new possibilities in biomaterials including electrically conductive protein nanowires for biosensors and enzyme catalysis, engineered metabolic pathways, and tissue scaffolds for regenerative medicine. Analysis of Dr. Glover's recent publications reveals a strong focus on protein self-assembly, biomaterials engineering, and the development of protein-based nanotechnologies. His work spans multiple disciplines including structural biology, nanotechnology, bioelectronics, and synthetic biology. A notable trend in his research is the application of protein engineering principles to create functional biomaterials with specific electronic, catalytic, and structural properties. His team has made significant contributions to understanding protein filament assembly, developing purification methods for protein nanostructures, and creating conductive protein nanowires for energy applications. Dr. Glover has established collaborative research relationships with scientists both within UNSW and internationally, particularly with researchers at the University of California, Berkeley. His laboratory appears to focus on protein engineering approaches to create novel biomaterials with applications in energy harvesting, biosensing, and regenerative medicine. While specific grant information is not provided in the available text, his extensive publication record suggests successful funding for his research program.

Xiangbing ZengView profile

Senior Lecturer

• Polymer Physics
• Self-Assembly
• Liquid Crystals
• +5 more

Dr. Xiangbing Zeng is a Senior Lecturer in Polymers and Liquid Crystals at the University of Sheffield's School of Chemical, Materials and Biological Engineering. With a PhD (2001) and over two decades of experience, his research bridges polymer physics and supramolecular self-assembly, focusing on nanoscale structure characterization using advanced techniques. Key research areas: polymer crystallization processes and supramolecular systems (liquid crystals, nanoparticles) Major projects: NSF-EPSRC Pire collaboration (natural materials for sustainable energy) and Leverhulme Trust-funded liquid quasicrystals research (2013) Technical expertise: X-ray/neutron scattering (Diamond, ESRF, ISIS), AFM, TEM, and computational modeling His work on liquid quasicrystals has revolutionized soft matter physics, with Nature (2004) cited over 200 times. Recent publications (2023-2025) explore chiral gyroids, antiferrochirality, and nanoparticle-liquid crystal hybrids, demonstrating interdisciplinary innovation. Scientific contributions include: Discovery of nanoscale quasicrystals (2004) Development of metamaterials using self-assembled gold nanoparticles Advancing polymer crystallization theory through quantitative models

• Particle Physics
• High Energy Physics
• Quantum Chromodynamics (QCD)
• +5 more

Professor Tim Greenshaw is a faculty member at the University of Liverpool, Department of Physics, specializing in experimental particle physics and medical physics. His research spans high-energy proton-electron collisions, detector technology for colliders, and radiation-hard silicon sensors. Role: Professor in Physics Institution: University of Liverpool His research focuses on: Quantum Chromodynamics (QCD) via HERA experiments Cherenkov Telescope Array (CTA) development Medical physics applications in dosimetry and electrodiagnostics Detector design for the Super-LHC and International Linear Collider Recent publications emphasize Event shape observables in DIS Pulsar halos and blazar flares with CTA Radiation-hard CCDs and silicon pixel detectors Microbunching in free-electron lasers Comet assay data modeling Scientific awards include: Chartered Scientist (IoP, 2007) PPARC Senior Fellowship (2002) SERC Advanced Fellowships (1992, 1997) He supervises thesis projects in medical physics and detector technology while participating in international collaborations like ATLAS and Cockcroft Institute.

Huiliang ZhangView profile

Assistant Professor

• Cardiac Aging
• Mitochondrial Biology
• Stem Cell Therapy
• +3 more

Huiliang Zhang, Ph.D., is an Assistant Professor in the Department of Pharmacology and Toxicology at the University of Arkansas for Medical Sciences (UAMS) College of Medicine. His office is located in Biomed 1, B306D, and his research lab operates from Biomed 1, B331. He earned his doctorate in Biophysics from Peking University in 2014, followed by postdoctoral training at the University of Washington. Dr. Zhang's research centers on cardiac aging mechanisms, with emphasis on mitochondrial dysfunction—particularly elevated proton leak—and strategies to reverse age-related cardiac decline. His work explores mitochondrial rejuvenation using compounds like SS-31 and stem cell therapies in preclinical models. Key research areas include: Mitochondrial bioenergetics in aging cardiomyocytes Proton leak regulation and metabolic restoration Stem cell applications for cardiac repair Vascular aging and inflammaging pathways His recent publications (2020-2025) demonstrate evolving focus from mitochondrial respiration mechanics to therapeutic interventions for cardiac/vascular aging, with increasing emphasis on proteomics, iPSC models, and metabolic modulation. Publication keywords cluster around mitochondrial dynamics, cardiac metabolism, and aging biomarkers. Awards & Grants: American Heart Association Career Development Award (2019-2022): Mechanisms of mitochondrial rejuvenation for diastolic dysfunction Bronson Foundation Intramural Grant (2022): Human iPSC-derived cardiomyocyte senescence Glenn/AFAR Postdoctoral Fellowship (2018): SS-31 reversal of mitochondrial dysfunction Dr. Zhang directs an active research lab investigating mitochondrial pathophysiology and maintains collaborations with cardiovascular and aging research consortia. He serves as an AHA study section member and has published over 30 peer-reviewed articles.

Chuanhua DuanView profile

Associate Professor

• Energy Conversion and Storage
• Micro/Nanofluidics
• Phase Change Heat Transfer
• +3 more

Chuanhua Duan is an Associate Professor of Mechanical Engineering and Materials Science & Engineering at Boston University, affiliated with the College of Engineering. He leads the Nanoscale Energy-Fluids Transport (NEFT) laboratory, focusing on nanoscale energy and fluid transport phenomena. His research explores enhanced ion/molecule transport in nanochannels, phase-change heat transfer, and nanofluidic devices for biomolecular sensing. Duan holds a Ph.D. from UC Berkeley and postdoctoral experience at Lawrence Berkeley National Laboratory. He has received notable awards, including the DARPA Young Faculty Award (2018) and NSF CAREER Award (2017). Research interests include anomalous transport in confined nanochannels, energy conversion/storage, and biomolecule separation. The NEFT lab actively recruits students for projects in nanofluidics, micro/nanostructured materials, and energy systems. Duan has advised numerous Ph.D., Master’s, and undergraduate students, contributing to over 70 publications in top journals like Nature Communications and ACS Nano . His work bridges fundamental science and practical applications, with implications for battery technology, fuel cells, and biomedical devices. Collaborations span academia and industry, addressing challenges in nanoscale engineering and sustainable energy.

• Magnetic Resonance Imaging (MRI)
• Medical Imaging
• Neuroradiology
• +3 more

Prof. Pål Erik Goa is a Professor at the Department of Physics, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU). He leads the Norwegian 7T MR Center, focusing on advancing MRI methodologies for clinical applications, particularly in collaboration with NTNU’s Medical Faculty and St. Olavs Hospital. His research emphasizes high-field MRI (7T), diffusion-weighted imaging (DWI), and applications in neuroimaging, breast cancer, and prostate cancer diagnostics. Research interests include developing novel MRI techniques for improved lesion detection, segmentation, and characterization, with a focus on clinical translation. His work spans from methodological advancements in DWI and T2-mapping to multimodal imaging strategies for disease stratification (e.g., Parkinson’s disease). Publications highlight contributions to breast and prostate cancer imaging, 7T MRI’s enhanced lesion visualization, and the integration of Bayesian methods in tumor classification. He has authored over 60 peer-reviewed articles, including studies on diffusion models, MRI artifact correction, and MRI-guided radiation therapy. Prof. Goa’s leadership in the Norwegian 7T MR Center underscores his role in fostering interdisciplinary research and clinical innovation in advanced MRI technologies.

Constantinos Zeinalipour-YazdiView profile

Assistant Professor

• Computational Chemistry
• Heterogeneous Catalysis
• Molecular Modeling
• +4 more

Dr. Constantinos Zeinalipour-Yazdi is an Assistant Professor of Chemistry at Northeastern University London since July 2023. He holds a PhD in Chemistry (2006) and MA in Chemistry (2003) from UC San Diego/SDSU JDP, and a BSc in Chemistry from the University of Cyprus. His career includes postdoctoral and research roles at institutions like UCL, Cardiff University, and the University of Warwick, focusing on computational chemistry and catalysis. Research Interests : His work centers on computational methods to study catalytic reactions (e.g., ammonia synthesis), design of nano-materials, and molecular modeling using the sphere-in-contact model. He explores reaction mechanisms on metal surfaces and the application of these models in education and industry. Key Achievements : Developed the sphere-in-contact model for teaching and research, contributing to understanding carbon materials and catalytic processes. His startup CysilicoTech Research Ltd won a National Entrepreneurship award in 2012. His research spans over 60 peer-reviewed articles with an h-index of 23 and 1,800 citations. Teaching : Teaches general chemistry and laboratory courses to mobility students, emphasizing integration of computational tools and quantitative approaches. Coordinates general and organic chemistry labs at Northeastern. Awards : Winner of the National Entrepreneurship Competition (2012) for CysilicoTech Research Ltd.

• New Music
• Composition
• Contemporary Music Performance
• +3 more

Gilles Grimaître is an Associate Lecturer at the Lucerne School of Music (HSLU) within the Institute of New Music, Composition and Theory. He is a pianist, keyboardist, composer, performer, and curator based in Biel, Switzerland. His artistic work emphasizes collaboration with composers and artists across visual arts, literature, and performing arts. He performs internationally with ensembles such as Collegium Novum Zürich, Ensemble Modern, and Ensemble Proton. He co-founded HYPER DUO with percussionist Julien Mégroz, focusing on transcending stylistic boundaries. Educated at the Bern University of the Arts, he studied piano under Pierre Sublet, organ with Pascale Van Coppenolle, and composition with Xavier Dayer. He was a scholarship holder at the International Ensemble Modern Academy in Frankfurt (2013–2014). Key achievements include winning the Nicati Competition 2013 for contemporary music interpretation and a 2022 residency in South India to study Karnatic music with Vidwan B R Somashekar Jois and 'Ghatam' Dr. S. Karthick. Research interests span interdisciplinary collaboration, electroacoustic music, and the fusion of improvisation with structured composition. His compositional style blends immersive soundscapes, complex structures, and Art Brut influences. HYPER DUO's debut album 'Indigne de nous' (2021) on Everest Records showcases these explorations. Awards: First Prize Nicati Competition 2013, Pro Helvetia Residency 2022 Grants: International Ensemble Modern Academy Scholarship Labs/Teams: HYPER DUO, Collegium Novum Zürich

Tom KurtzmanView profile

Associate Professor

• Statistical Mechanics
• Drug Design
• Solvation Thermodynamics
• +3 more

Tom Kurtzman is an Associate Professor at Lehman College, affiliated with the Department of Chemistry . His research focuses on computational methods for drug discovery, integrating statistical mechanical theory and computer simulations to analyze solvation effects in molecular recognition. Education: B.A. from UC Santa Cruz (1994), Ph.D. from Stanford University (2002). Research Interests: Solvation thermodynamics, water structure in protein-ligand interactions, and development of open-source tools like SSTMap and GISTPP for solvation analysis in drug design. Current Students: Joseph Cruz, Helmut Carter, Arghavan Vedadi, and Samrat Lohar. Lab Tools: Developed software packages for solvation mapping and hydration analysis in molecular dynamics. Contact: Davis Hall 101, Lehman College, Bronx, NY. Email: thomas.kurtzman@lehman.cuny.edu .

William KobertzView profile

Professor

• Ion Channels
• Glycosylation
• Cardiac Electrophysiology
• +3 more

William Kobertz is a Professor at UMass Chan Medical School, affiliated with the T.H. Chan School of Medicine and the Morningside Graduate School of Biomedical Sciences. His research focuses on ion channels, particularly voltage-gated potassium and proton channels, and their glycosylation in relation to cardiac electrophysiology and disease mechanisms. Education: B.S. in Chemistry from University of California, Berkeley Ph.D. in Organic Chemistry from Massachusetts Institute of Technology His work spans understanding how post-translational modifications like N- and O-glycosylation affect ion channel assembly and trafficking, using synthetic organic chemistry, glycobiology, and electrophysiology. Recent studies include fluorescent imaging of proton fluxes and mechanisms of cardiac potassium channel dysfunction in Long QT Syndrome. Publications (from 2022–2012) reflect expertise in physiology, biochemistry, and chemistry, with a focus on ion channels, membrane protein structure, and disease-related mechanisms. Scientific Awards: Howard Hughes Postdoctoral Fellowship Burroughs Wellcome Career Award in Biomedical Sciences Kobertz leads a multidisciplinary lab investigating molecular underpinnings of ion channel complexes, with collaborations across institutions like Columbia Medical School. Techniques include fluorescence microscopy, synthetic organic methods, and glycocalyx engineering.

• Mathematical modeling
• Partial Differential Equations (PDE)
• Numerical methods
• +10 more

Assoc. Prof. Anton Stoilov is an Associate Professor at South-West University in Blagoevgrad, Bulgaria. He holds a Ph.D. in Energy Conversion Technology (2006) and a Master's in Physics (2001), both from South-West University. His teaching focuses on personal productivity with IT and website development. His research spans mathematical modeling, PDEs, numerical methods, computer science, engineering, and physics, with notable work in bioinformatics, HPC, embedded systems, and medical instrumentation. Education: Ph.D. in Energy Conversion Technology and Systems, South-West University, 2006 Master of Physics, South-West University, 2001 Research Interests: Mathematical modeling and numerical methods Partial differential equations (PDE) and their applications High Performance Computing (HPC) in bioinformatics Embedded systems and sensor technology Web design and server administration Particle physics and collider experiments (e.g., HERA) Publications Trends: Recent work includes hypermedia communication technologies (2019), MATHDebate teaching methodologies (2018), and bioinformatics algorithms (2018–2016). Earlier contributions focused on particle physics experiments at HERA (2006–2007) and thermal analysis of solar systems (2004–2006). His articles bridge computational science, engineering, and education. Awards: None explicitly listed. Advising/Grants: No student advisees or grants mentioned in the provided text. Labs/Teams: Not specified in available information.

Joshua LoyalView profile

Assistant Professor

• Statistical network analysis
• Bayesian inference
• Machine learning
• +2 more

Joshua Loyal is an Assistant Professor in the Department of Statistics at Florida State University. His research focuses on statistical network analysis, Bayesian inference, machine learning, data science, and statistical computing. Education: Ph.D. in Statistics, University of Illinois at Urbana-Champaign M.S. in Physics, Yale University B.S. in Physics and Mathematics, Duke University His research interests span statistical methods for network analysis and computational statistics, with applications ranging from social networks to environmental science and particle physics. His work develops novel methodologies for analyzing complex, high-dimensional data structures. His publications demonstrate a consistent focus on developing statistical models for network data, with recent work advancing Bayesian nonparametric methods and dimension reduction techniques for dynamic networks. He leads research projects applying statistical network analysis to diverse domains including arctic ecology, pandemic modeling, and particle physics.