جست‌وجوی استاد و پژوهشگر

James C. Gumbartمشاهده پروفایل

استاد مدعو

• Computational Biochemistry and Biophysics
• Membrane proteins
• Free-energy calculations
• +۷ مورد دیگر

James C. Gumbart is an Adjunct Professor in the School of Physics at Georgia Institute of Technology, with additional affiliation to the School of Chemistry and the Institute for Bioengineering and Bioscience . His research leverages molecular dynamics simulations to decode the atomic-level mechanisms of bacterial proteins and cellular structures. B.S., Physics and Mathematics, Western Illinois University, 2003 Ph.D., Physics, University of Illinois at Urbana Champaign, 2009 Dr. Gumbart's work bridges computational biophysics and biochemistry to understand: Mechanisms of bacterial membrane protein insertion and nutrient import Structural dynamics of cell wall mechanics SARS-CoV-2 spike protein interactions with ACE2 Free-energy calculations for protein-ligand binding Applications of machine learning in biomolecular simulations His publications reflect trends in membrane protein biophysics , viral dynamics , and computational drug design , with a strong emphasis on interdisciplinary techniques. Awards include multiple fellowships and grants from NSF , DOE , and NIAID . He has mentored numerous PhD students, including Zijian Zhang , David Ryoo , and Andrew Pang , whose work has advanced understanding of bacterial systems and viral proteins. The Gumbart Lab integrates high-powered supercomputing and advanced software to model biomolecular processes, fostering collaborations with institutions like the National Institutes of Health and Argonne National Laboratory .

Ian J. Rhileمشاهده پروفایل

استاد

• Physical Organic Chemistry
• Mechanistic Organic Chemistry
• Atomic Orbitals
• +۳ مورد دیگر

Ian J. Rhile is a Professor of Chemistry and Biochemistry and currently serves as the Department Chair at Albright College. He holds a B.S. from Ursinus College and an M.S. and Ph.D. from Cornell University. His postdoctoral work at the University of Washington preceded his appointment at Albright in 2005. Dr. Rhile’s research focuses on physical and mechanistic organic chemistry, particularly atomic orbitals and proton-coupled electron transfer. His lab investigates base-appended radical cations and their role in hydrogen abstraction from phenols, exploring how molecular structural variations influence reaction kinetics and thermodynamics. He is also dedicated to improving organic chemistry laboratory education through innovative techniques like parametric equations for orbital visualization. Dr. Rhile has received notable recognition, including the 2011 Dr. Henry P. and M. Paige Laughlin Annual Distinguished Faculty Award for Teaching and the 2013 Albright PRIDE Award. He has contributed to institutional committees such as the Middle States Reaccreditation Steering Committee and chaired the Educational Policy Council and Advisory Committee on Rank and Tenure. His service roles include faculty advisor to the Student Government Association and Pride+, underscoring his commitment to both academic excellence and campus community building. Dr. Rhile teaches a range of courses, including CHE102 (Science of Food and Cooking), CHE105/106 (General Analytical Chemistry), and CHE411/470 (Advanced Organic Chemistry and Chemical Education). He has also been involved in grant-funded research through the American Chemical Society-Petroleum Research Fund (2009-2012). His work in the Rhile lab emphasizes experimental and theoretical studies of molecular systems, with a focus on understanding fundamental chemical processes. This aligns with Albright’s mission to provide hands-on research opportunities for students, which he actively fosters through his teaching and mentorship.

• Medical Physics
• Radiation Oncology
• Proton Therapy
• +۳ مورد دیگر

Sara Margareta Cecilia Pilskog serves as an Associate Professor in the Department of Physics and Technology at the University of Bergen, Norway, with dual affiliation at Haukeland University Hospital's Department of Cancer Treatment and Medical Physics. Her research bridges theoretical medical physics and clinical oncology applications, focusing on precision radiotherapy techniques and biological optimization. Her primary research interests center on proton therapy innovation, where she investigates biological optimization strategies using linear energy transfer (LET) and relative biological effectiveness (RBE) modeling. She develops adaptive radiotherapy frameworks to address inter-fractional motion in pelvic cancers, particularly prostate and rectal malignancies. Her work also pioneers neutron-based in-vivo range verification systems and statistical deformation models for dose accumulation. Current projects emphasize reducing treatment margins through anatomical robustness and optimizing biological dose distributions for organ sparing. Analysis of her 15 most recent publications reveals a dominant focus on improving proton therapy precision for pelvic cancers through biological modeling and motion management. Approximately 70% of her work addresses prostate cancer applications, with significant contributions to adaptive strategies for inter-fractional changes and biological optimization techniques. Her research consistently employs Monte Carlo simulations (particularly FLUKA) and clinical data analysis to translate theoretical models into clinically viable solutions. No scientific awards were documented in the provided materials. While specific advising details remain unreported, her collaborative patterns indicate active mentorship within the University of Bergen's medical physics research ecosystem. Her publications consistently involve junior co-authors from clinical physics teams at Haukeland University Hospital, suggesting hands-on supervision of technical staff and research fellows in radiotherapy innovation projects. Grant funding appears primarily channeled through institutional hospital-university partnerships focused on clinical translation of advanced radiotherapy techniques. Dr. Pilskog operates within the University of Bergen's medical physics research cluster that maintains close operational ties to Haukeland University Hospital's radiotherapy department. This integrated academic-clinical environment enables direct implementation of her research on adaptive proton therapy and biological optimization into clinical workflows, with particular emphasis on pelvic cancer treatment protocols. The team utilizes advanced Monte Carlo simulation platforms and clinical treatment planning systems to develop and validate next-generation radiotherapy approaches.

• Microchannel Engineering
• Proton Exchange Membrane Fuel Cell
• Two-phase Flow
• +۷ مورد دیگر

Eon Soo Lee is an Associate Professor in the Department of Mechanical and Industrial Engineering at the New Jersey Institute of Technology (NJIT). His primary research focuses on advanced materials engineering, biomedical microfluidics, and assistive technologies for individuals with disabilities. He has led federally funded projects including 'I-Corps: Multiplex Diagnostic Assay Using Interdigitated Nano-Sensing Technology' (NSF, 2023-2025) and 'Innovative Nano Catalysts for Automobile and Fuel Cell Applications' (NSF, 2018). Research Interests: Lee's work spans interdisciplinary areas including: Development of N-doped graphene/MOF composites for energy applications Microfluidic systems for blood plasma separation and antigen detection Design of accessible technologies for visually impaired users, including VR audio descriptions and remote sighted assistance systems Grants and Projects (select): National Science Foundation (2023): $500K for multiplex diagnostic assays National Science Foundation (2018): $300K for nano-catalysts in fuel cells Multiyear collaborations with industry partners on biosensor integration Innovation Highlights: Developed AIGuide: AR hand-guidance system for visual impairments Pioneered omnidirectional audio descriptions for VR music performances Published extensively in Carbon , Biomicrofluidics , and ACM/IEEE accessibility venues

• Electrochemical Engineering
• Renewable Energy Systems
• Material Science
• +۳ مورد دیگر

Dr. Melanie Bühler is the Head of Electrochemical Energy Systems - Applications at the Department of Microsystems Engineering (IMTEK) at the University of Freiburg. She holds a PhD from the University of Freiburg (2020), focusing on 'Development of novel electrodes for PEM water electrolysis.' Her academic journey includes a Master's in Microsystems Engineering (2016) with work on bio fuel cells and a Bachelor's (2012) in the same field. She is currently the contact person for PEM water electrolysis projects. Her research interests revolve around electrochemical systems, specifically proton exchange membrane (PEM) electrolyzers, catalyst development, material science, and renewable energy systems. Key areas include optimizing electrode configurations, catalyst activity, and membrane assembly technologies. She has contributed to advancements in non-noble metal catalysts and core-shell microparticle designs for improved electrolyzer performance. Dr. Bühler's lab, the Laboratory for MEMS Applications, focuses on applied electrochemical engineering. Her publications highlight innovations in PEM electrolyzer design, electrode fabrication techniques, and material characterization. Her work bridges fundamental electrochemistry with practical applications in sustainable energy systems.

• Proteomics
• Metabolomics
• Plant-Microbe Interactions
• +۳ مورد دیگر

Prof. Dr. Karsten Niehaus serves as Head of the Proteome and Metabolome Research Group at the Center for Biotechnology (CeBiTec) and Faculty of Biology, University of Bielefeld. His research focuses on proteomics and metabolomics applications in plant-microbe interactions, bacterial stress responses, and disease model systems. His laboratory employs advanced mass spectrometry imaging and cell phenotyping technologies to investigate molecular responses in crops like sugar beet and grapevines under abiotic stress conditions, as well as in cancer models where differentiation therapy impacts tumor malignancy. The group also explores microbial biotechnology through Xanthomonas campestris studies on xanthan production and stress adaptation. Selected publications highlight innovations in 3D microfluidics for biomarker detection and bioinformatics platforms like MetHoS for metabolomics data analysis. His work appears in journals covering Frontiers in Plant Science , Scientific Reports , and Journal of Experimental Botany . Contact: kniehaus@cebitec.uni-bielefeld.de | Office: UHG W7-117

Li Hanمشاهده پروفایل

استاد

• Data Science
• Computational Biology
• Protein Dynamics
• +۲ مورد دیگر

Li Han is Professor of Computer Science at Clark University's Becker School of Design and Technology, where she also directs the Data Science program. She holds a Ph.D. from Texas A&M University and M.S./B.S. degrees from Xi'an Jiaotong University. Her research spans computational protein studies, data science, and robotics, with current focus on protein dynamics and allosteric mechanisms. Her publications demonstrate consistent focus on computational approaches to biological systems, particularly protein dynamics, folding mechanisms, and conformation analysis. Recent work (2022) examines allosteric pathways in ubiquitin ligases using advanced simulation techniques. Methodological contributions include dimensionality reduction for protein conformation spaces and novel algorithms for molecular simulation. She teaches diverse courses including Introduction to Data Science, Algorithms, and Robotics, and advises student computing organizations. Her research has received funding from NSF and NIH.

Martin Schroderمشاهده پروفایل

استاد

• Materials chemistry
• Porosity
• Gas adsorption and selectivity
• +۵ مورد دیگر

Professor Martin Schroder is a leading materials chemist currently serving as Vice President and Dean of the Faculty of Science and Engineering at the University of Manchester. He previously held executive and academic roles at the University of Nottingham (1995-2015) and the University of Edinburgh (1982-1995), culminating in his appointment as Professor of Chemistry at Manchester (2015-present). His career spans over four decades with significant contributions to porous metal-organic frameworks (MOFs) for energy and environmental applications. PhD in Chemistry from Imperial College London (1978) BSc in Chemistry from the University of Sheffield (1975) Professor Schroder's research focuses on materials chemistry , particularly metal-organic frameworks (MOFs) for gas separation and capture. His work addresses CO2 reduction , toxic gas removal , and proton conductivity through innovative framework design and functionalization. Recent publications highlight MOF applications for hydrogen storage , SO2 capture , and NO2 conversion . His 15 most recent publications (2016-2020) demonstrate sustained expertise in porous materials engineering , showing consistent focus on gas adsorption mechanisms , supramolecular interactions , and environmental remediation through MOF technology. Key trends include CO2 selectivity , dynamic framework behavior , and electrochemical sensor development . Awarded numerous honors including: Royal Society of Chemistry Nyholm Prize (2020) Tilden Lectureship & Medal (2001/02) Multiple RSC awards (2003, 2008) Honorary Doctorates (2005, 2017) Fellowships (FRSE, FRSC) He has organized major international conferences like the 1st International Conference on Metal-Organic Frameworks (2008) and led the Royal Society Discussion Meeting on 'The New Chemistry of the Elements' (2014). His work bridges fundamental inorganic chemistry with practical solutions for clean air technologies and carbon capture .

Ira Kurtzمشاهده پروفایل

استاد

• Renal Physiology
• Acid-Base Homeostasis
• Molecular Transport Mechanisms
• +۳ مورد دیگر

Dr. Ira Kurtz is a Professor of Medicine at the University of California, Los Angeles (UCLA), and Chief of Nephrology. He is also a Member of the Brain Research Institute. His research focuses on renal physiology, acid-base homeostasis, and molecular transport mechanisms, particularly within the SLC4 transporter family. His work spans structural biology, molecular dynamics, and clinical nephrology. His scientific contributions include structural characterization of SLC4 transporters using cryo-EM and molecular dynamics simulations, revealing key insights into ion translocation pathways and conformational dynamics. He has extensively studied the molecular basis of proximal renal tubular acidosis and electrolyte disorders, with particular emphasis on NBCe1 transporter function and regulation. Dr. Kurtz's publications demonstrate expertise in renal acid-base physiology, membrane transporter characterization, and clinical applications. His work connects fundamental molecular mechanisms with human diseases, including corneal endothelial dystrophies, thrombotic microangiopathy from anti-VEGF treatments, and genetic disorders affecting ion transport. His research methodology integrates computational biology, structural biology, and translational medicine approaches. He has developed novel quantitative models for acid-base analysis and electrolyte disorders, challenging established paradigms like the Stewart approach through critical evaluation of bicarbonate-centered models.

Richard G. Milnerمشاهده پروفایل

استاد

• Nuclear Physics Experiment
• Quantum Chromodynamics (QCD)
• Spin Structure of Nucleons
• +۳ مورد دیگر

Richard G. Milner is a Professor of Physics at MIT since 1988. He leads research in nucleon/nuclear structure using lepton probes, with a focus on QCD and spin observables. His experimental work spans SLAC, MIT-Bates, DESY, and Jefferson Lab. He directed MIT’s Bates Linear Accelerator Center (1998–2006) and the Laboratory for Nuclear Science (2006–2015). Notable honors include the APS Tom W. Bonner Prize (2020), Humboldt Prize (2011), and APS Fellow status (2007). Educations: B.Sc./M.Sc. (UCC, 1978–1979), Ph.D. (Caltech, 1985). Research: Spin structure of protons, electronuclear experiments, proton visualization projects (e.g., Visualizing the Proton documentary). Labs/Teams: Hadronic Physics Group (HPG), affiliated with MIT’s Laboratory for Nuclear Science (LNS). Leadership: Advocacy for the Electron-Ion Collider (EIC), co-recipient of the Buechner Teaching Award (2018). His work bridges art and science, exemplified by collaborations with filmmakers and animators to depict subatomic phenomena. Current interests include QCD dynamics and gluon states in nuclei.

Lijing Xinمشاهده پروفایل

استادیار

• Magnetic Resonance Spectroscopy (MRS)
• Brain Energy Metabolism
• Neuroimaging
• +۳ مورد دیگر

Lijing Xin is an Assistant Professor at the Department of Physics and a research staff scientist at the Center for Biomedical Imaging (CIBM) at Ecole polytechnique fédérale de Lausanne (EPFL), Switzerland. She teaches courses on Biomedical Imaging and Translational MR Neuroimaging, while also contributing to academic administration. PhD in Physics (2010, EPFL) Master's Project (2002-2005) on MRI instrumentation Her research focuses on high-field magnetic resonance spectroscopy (MRS) and MRI for studying brain function and neurological diseases. She develops novel acquisition and quantification methods for 1 H, 13 C, and 31 P nuclei, particularly on 7T clinical platforms . Her work bridges preclinical and clinical research , with collaborations in psychiatry to explore pathophysiology and biomarkers for disorders like schizophrenia and mood disorders. Recent publications include studies on epilepsy , Alzheimer's disease , brain energy metabolism , and neurochemical profiling using advanced MRS and deep learning for psychosis classification. She has contributed to RF coil design , macromolecule suppression , and metabolic pathway analysis across multiple disciplines. She advises PhD students and collaborates on interdisciplinary projects involving neuroimaging hardware , metabolic disease research , and psychiatric biomarker identification . Her lab at EPFL CIBM-AIT develops cutting-edge techniques for high-resolution brain metabolism analysis and clinical translation .

Patrice Koehlمشاهده پروفایل

استاد

• Computational Biology
• Structural Bioinformatics
• Molecular Modeling
• +۴ مورد دیگر

Patrice Koehl is a full-time Professor in the Department of Computer Science at the University of California, Davis. His research bridges computational biology, structural bioinformatics, and theoretical biophysics, focusing on geometric and physical modeling of biomolecular systems. He has made significant contributions to protein structure prediction, ion channel modeling, and development of computational methods for molecular simulations. Research interests include: Geometric modeling of biological macromolecules Optimal transport theory for shape analysis Statistical mechanics in biomolecular simulations Topological data analysis for cellular morphology Multi-scale modeling of viral structures Recent research trends show strong emphasis on: Protein conformational transitions using action minimization Persistence diagrams for morphological signatures Geometric approaches to assignment problems Computational methods for macromolecular surface analysis Interdisciplinary applications of physics to biological data

• High-Energy Physics
• Particle Physics
• Proton-Proton Collisions
• +۵ مورد دیگر

Muammer Altan Çakır is a Professor in the Department of Physics Engineering at Istanbul Technical University, actively engaged in high-energy physics research with significant contributions to the CMS Collaboration at CERN. His work focuses on proton-proton collisions, Higgs boson physics, and top quark studies using Large Hadron Collider data. His research interests span experimental particle physics with emphasis on proton-proton collisions , Higgs boson characterization , lepton physics , and transverse momentum analysis . Recent work explores charm baryon production, Drell-Yan processes, and muon identification techniques using advanced multivariate methods in the CMS detector. Analysis of his 15 most recent publications reveals a strong focus on precision measurements in high-energy collisions, particularly in Higgs physics (3 publications), top quark physics (2), and detector optimization (2). His work consistently addresses fundamental questions in the Standard Model through advanced statistical techniques and large-scale data analysis. Doktora sonrası araştırma bursu (2010) Landes Baden Württenberg Doktorarbeit Stipendium (2006) LPC Fall Guest Visitor Faculty (2017) Multiple Performans ödülü awards (2012, 2013, 2015) Professor Çakır has supervised 15 students and leads multiple research projects including GPU-based distributed computing platforms for big data processing, real-time predictive maintenance systems, and deep learning applications for top quark spin correlation studies. His current projects integrate generative AI with domain-specific physics research while developing scalable open-source big data architectures for industrial applications. His laboratory work centers on CMS detector data analysis, with recent focus on online data visualization tools and multivariate techniques for particle identification. Current projects explore GPU-accelerated computing frameworks and generative AI applications for physics-informed design systems.

Laura Orellanaمشاهده پروفایل

استادیار

• Biophysics
• Computational Biology
• Structural Biology
• +۳ مورد دیگر

Laura Orellana is an Assistant Professor at the Karolinska Institute , Department of Oncology-Pathology. Her research bridges computational biophysics and structural biology to study protein conformational dynamics in cancer and mendelian diseases . Education : PhD in Physics (summa cum laude, University of Barcelona), MD in Medicine (University of Barcelona), MSc in Biophysics and Structure & Function of Proteins, BSc in Biochemistry Research Interests focus on protein dynamics , evolutionary mutational patterns , and conformational profiling of tumors. She develops multiscale simulation methods (normal modes, molecular dynamics, machine learning) to identify dynamically hot mutations and conformation-specific drug targets . Her 15 recent publications span topics from oncogenic EGFR mutations to ribosomal protein dysplasias , emphasizing computational approaches to decode protein structure-function relationships across cancer and genetic disorders . Scientific Awards : Extraordinary Prize for Academic Excellence in Biochemistry (2006) EMBO Biomolecular Simulation Bursary (2012) Biophysical Society Travel Award (2016) EMBRACE-Rigaku-EBI Bursary (2009) IUBMB-FEBS Young Scientist Program Fellow (2012) She leads the Protein Dynamics and Cancer Lab , advising PhD students like Knut-Rasmus Bergendahl and Gustav Lind. Grants include the Swedish Research Council Starting Grant (2022), Cancerfonden Junior Investigator Award (2021), and KI Tenure-track Faculty Position (2019).

• Gene regulation
• Bioinformatics
• RNA Biology
• +۶ مورد دیگر

Albin Gustav Sandelin is a Professor in the Department of Biology at the University of Copenhagen, specializing in bioinformatics and RNA biology. With a PhD in Functional Genomics from Karolinska Institute (2004) and an MSc in Molecular Biology from Stockholm University (2000), his career spans roles at institutions including RIKEN Yokohama Institute and Tokyo Medical and Dental University. His research focuses on Gene regulation mechanisms Transcription start site dynamics RNA sequencing methodologies Promoter architecture analysis Cancer microenvironment interactions . Recent publications highlight his work in pancreatic cancer adaptation to acidic environments (2024-2025), TLDR-seq for RNA analysis, and JASPAR database development. He supervises PhD students including Eivind Valen and Eric Man-Hung, with a history of teaching bioinformatics courses at Karolinska Institute and Copenhagen University. Key collaborations involve institutions in Japan, Canada, and Sweden, with ongoing contributions to open-access genomic resources like JASPAR.