جستجوی استاد راهنمای دانشگاهی

Bingqian Xuمشاهده پروفایل

استاد

• Molecular Electronics
• Nanotechnology
• Single-Molecule Biosensing
• +۴ مورد دیگر

Bingqian Xu is a Professor in the School of Electrical & Computer Engineering at the University of Georgia. His research focuses on molecular electronics, single-molecule biosensing, and nanotechnology with applications in biomedical engineering and renewable energy. He leads studies on charge transport mechanisms in molecular junctions, prion protein aggregation, and plant cell wall hydrolysis. Research interests include developing novel nanostructured materials, AFM-based biosensing techniques, and optoelectronic devices. Recent work explores genipin's role in neuroregeneration and high-value utilization of agricultural waste. Xu's lab investigates photo-induced molecular devices and self-assembled supramolecular architectures. Publications span over 15 years, covering topics like single-molecule force spectroscopy, aptamer-based toxin detection, and graphene functionalization. His work bridges chemistry, physics, and engineering with interdisciplinary applications in biomedicine and environmental sustainability. Key contributions include creating a modular platform for neuron-innervated heart assembloids and developing air-stable molecular junctions with extreme longevity. His team's AFM techniques enable real-time analysis of protein aggregation and enzyme-substrate interactions at nanoscale resolution.

Magnus Anderssonمشاهده پروفایل

استاد

• Biophysics
• Biophotonics
• Microfluidics
• +۶ مورد دیگر

Magnus Andersson is a Professor at Umeå University's Department of Physics and Head of the Biophysics and Biophotonics research group. His work focuses on developing photonic tools for studying biological systems, particularly bacterial spores and pathogenic mechanisms. Research emphasizes optical tweezers, microfluidics, and advanced imaging techniques like digital holography. Key qualifications include Docent status and recognition as a university teacher. Current research projects include light harvesting in coralline algae and non-invasive detection of toxic biological substances. His lab has pioneered 3D-printed experimental platforms for biofilm studies and antimicrobial resistance analysis. Publications highlight innovations in SERS-based pathogen detection, bacterial adhesion pili mechanics, and optical tweezers applications. Awards include the UCMR PI appointment in 2022. Ongoing work addresses spore disinfection resilience, antibiotic resistance spread via F-pili, and neural regeneration using bioprinted stem cell cultures.

Maik Jörg Lehmannمشاهده پروفایل

استاد

• Pathogen-Cell Interactions
• RNAi-Based Screening
• Microscopy Techniques
• +۴ مورد دیگر

Prof. Dr. Maik Jörg Lehmann is a Professor of Biochemistry, Cell Biology, and Microbiology at Technische Hochschule Bingen. He holds roles such as Deputy Chairman of the Examination Board for Biotechnology and Biological Safety Officer. His academic journey includes a PhD in Molecular Biology from Ruprecht-Karls-University Heidelberg (2002), postdoctoral research at Yale University School of Medicine, and leadership roles at institutes like the Humboldt University of Berlin and the German Cancer Research Center. He specializes in pathogen-cell interactions, RNAi-based screening, and advanced microscopy techniques. Research Focus: His work focuses on identifying host factors in viral infections through RNAi screens, visualizing pathogen dynamics using fluorescence and electron microscopy, and developing 3D cell culture models. Key projects involve collaborations with institutions like Yale University and the Wellcome Trust Center for Human Genetics. Awards: Recipient of the Klaus-Georg und Sigrid Hengstberger Prize (2007) for early-career scientists and the Teaching Excellence Award (2015) at Humboldt University. Grants & Labs: Leads research on HIV entry mechanisms, Plasmodium biology, and host-pathogen interactions. His lab employs cutting-edge imaging and bioinformatics tools to study cellular processes and viral replication.

Ruibang Luoمشاهده پروفایل

دانشیار

• Bioinformatics
• Clinical Informatics
• Genomics
• +۲ مورد دیگر

Ruibang Luo is an Associate Professor in the Department of Computer Science at the School of Computing and Data Science, University of Hong Kong, and serves as Assistant Director (Learning Experience & Student Enrichment). His research spans bioinformatics algorithms and clinical informatics, with over 80 publications including ten highly cited papers. \n His educational background includes: \n \n PhD in Bioinformatics from the University of Hong Kong (2010-2015) under Dr. Tak-Wah Lam \n Postdoctoral training at Johns Hopkins University (2016-2017) with Drs. Steven Salzberg and Michael Schatz \n \n Luo's research centers on bioinformatics and clinical informatics , developing algorithms for genomic data analysis. Key areas include variant calling, metagenomics assembly, pan-genome construction, and AI applications in precision medicine. His work bridges computational methods with clinical solutions for genomic surveillance and disease detection. \n Analysis of his recent publications (2021-2022) reveals strong focus on population genomics (Hong Kong Cantonese exomes, Chinese pan-genome), nanopore sequencing for epigenomics/transcriptomics, and AI-driven gene-disease relation extraction. Earlier work established foundational tools like MEGAHIT for metagenome assembly and SOAPdenovo for genome alignment. \n Luo has received significant recognition: \n \n Top 1% Scholars Worldwide by Clarivate Analytics (2019-2023) \n Baidu Research: Worldwide Top 150 Chinese Young Scholars in AI \n MIT Technology Review: Top 10 Innovators Under 35 Asia Pacific (2019) \n Forbes: 30 Under 30 Asia in Healthcare and Science (2017) \n \n As principal investigator, Luo secured grants including RGC GRF for cancer mutation detection using single-molecule sequencing and industrial collaboration with Oxford Nanopore Technologies. He contributed as Co-PI to cardiovascular risk prediction and automated karyotype analysis projects. His group actively translates bioinformatics algorithms into clinical applications through partnerships with medical institutions. \n Luo leads a research team within HKU's Department of Computer Science focused on next-generation bioinformatics tools for clinical genomics, with ongoing work expanding Chinese pan-genome resources and AI diagnostic systems.

Emiliano Briniمشاهده پروفایل

استادیار

• Computational Chemistry
• Protein-Protein Interactions
• Molecular Dynamics
• +۶ مورد دیگر

Emiliano Brini is an Assistant Professor in the School of Chemistry and Materials Science at Rochester Institute of Technology's College of Science. He leads the Computational Molecular Physics (CMP) group, developing integrative computational tools combining molecular dynamics and machine learning to study soft matter thermodynamics. Research Focus Brini's research spans three key areas: Protein-protein interactions : Developing AI/physics hybrid methods to predict binding affinities and mutation impacts for drug design Solvation thermodynamics : Creating rapid prediction tools (SEA-AI) for organic molecule solvation behavior Materials science : Modeling structure-property relationships in functional materials like organic solar cells and polyesters Funding & Recognition NIH Award (2023) for developing computational tools to design next-generation drugs by predicting protein-drug interactions Research Team Leads the Brini Lab with 5 PhD students, 3 Master's candidates, and undergraduate researchers. Key projects include protein binding prediction, solvation tool development, and materials modeling using OpenMM/MELD/SEA computational frameworks.

• Computational Chemistry
• Physical Chemistry
• Density Functional Theory
• +۹ مورد دیگر

Sergey Vyboyshchikov Preobrazhenskaya is an Associate Professor in the Department of Chemistry at the University of Girona, Spain. He is affiliated with the Institute of Computational Chemistry and Catalysis (IQCC) and leads research within the DiMoCat group, focusing on theoretical and computational approaches to chemical reactivity, solvation, and bonding analysis. His research interests span Computational Chemistry , Density Functional Theory , Solvation Theory , Atomic Charges , Energy Decomposition , and Machine Learning applications in chemistry . He develops efficient methods such as the Electronegativity-Equalization (ESE) approach for solvation energy and novel atomic charge schemes (ACP, I-ACP). His work bridges quantum chemistry with practical applications in catalysis and molecular modeling. His recent publications (2021–2023) show a strong trend toward integrating machine learning (particularly dense neural networks) with physical chemistry principles to create fast, accurate models for solvation free energies. These models leverage atomic charges and non-iterative algorithms, enabling high-throughput screening and simulation. His work also includes fundamental studies in confined quantum systems , vibrational theory , and main group element reactivity . He teaches courses including Numerical Methods and Programming, Chemical Kinetics, Nanotechnology, and Physical Chemistry Labs at both undergraduate and master’s levels. Contact Information: Email: sergey.vyboyshchikov@udg.edu Phone: +34-972-418362 Office: C3-106, Edifici Ciències, University of Girona

• Neurodegenerative Diseases
• Protein Aggregation
• Autophagy
• +۳ مورد دیگر

Srinivas Ayyadevara is an Associate Professor in the Department of Geriatrics at the University of Arkansas for Medical Sciences and a research scientist at the Central Arkansas Veterans Healthcare System . His work focuses on molecular mechanisms of neurodegenerative diseases , particularly Alzheimer's and Huntington's disease , emphasizing protein aggregation , autophagy , and neuroinflammation . He investigates small-molecule therapeutics to disrupt pathological protein aggregates, including studies on thiadiazolidinone analogs and aspirin derivatives . His research also explores genetic pathways modulating longevity in Caenorhabditis elegans , such as PI3K-null mutants and CLEAR motif regulation . Current Grants: NIH R01AG084472 (Co-Investigator): Neuroinflammation and ApoE4 in Alzheimer's NIH R21AG075548 (PI): Mechanisms of PCSK9 in endothelial aging NIH R01AG062254 (Co-PI): Common pathways in neurodegeneration Key Collaborations: Sue Griffin (Alzheimer's pathology) Robert Shmookler Reis (Aging genetics) Jawahar Mehta (Cardiovascular-neurodegeneration links)

Sarah Burkeمشاهده پروفایل

دانشیار

• Nanoscale Electronic Materials
• Optoelectronic Materials
• Scanning Probe Microscopy
• +۵ مورد دیگر

Sarah Burke is an Associate Professor at the University of British Columbia with joint appointments in the Department of Physics & Astronomy and the Department of Chemistry under the Faculty of Science. Her research focuses on nanoscale electronic and optoelectronic materials, utilizing advanced scanning probe microscopy (SPM) techniques such as atomic force microscopy (AFM) and scanning tunneling microscopy (STM) in ultrahigh vacuum and low-temperature environments. Education: PhD, Physics (McGill University, 2009) MSc, Physics (McGill University, 2005) BSc(Hons), Physics with minor in Chemistry (Dalhousie University, 2002) Research Interests: Sarah’s work bridges nanoscale materials characterization and electronic/optoelectronic device development. Key themes include: Understanding organic semiconductor interfaces through molecular-scale imaging and spectroscopy Investigating graphene and other 2D materials for strain-induced electronic phenomena Developing novel SPM-optical hybrid techniques for clean energy applications Exploring surface science challenges in nanoscale photovoltaics and molecular electronics Scientific Awards: Canada Research Chair (Tier 2) in Nanoscience (2010, renewed 2015) Peter Wall Institute for Advanced Studies Early Career Scholar Award (2011) Associate Member of CIFAR Nanoelectronics Program (2010-2012) NSERC Postdoctoral Fellowship (2009-2010) Advising & Grants: Burke’s group supports interdisciplinary graduate training, with experience in collaborative research programs. Her grants include Canada Research Chair funding and NSERC fellowships. Labs & Teams: She leads the UBC Laboratory for Atomic Imaging Research (LAIR), pioneering SPM techniques for atomic-scale characterization of nanomaterials.

Keng C. Chouمشاهده پروفایل

استاد

• Machine Learning for Chemical Analysis
• Optical Microscopy
• Surface Properties of Water and Ice Nucleation
• +۳ مورد دیگر

Keng C. Chou is a Professor in the Department of Chemistry at the University of British Columbia (UBC), Faculty of Science. His research spans interdisciplinary fields combining chemistry, physics, and biomedical engineering. Education: PhD in Physics (2001) and MSc (1994) from University of California, Riverside; BS in Physics (1989) from Tunghai University Research Focus: Machine Learning for Chemical Analysis: Integrating AI algorithms with chemical analytical methods for data interpretation Optical Microscopy Development: Creating super-resolution microscopes (e.g., 3D structured illumination) for studying biological systems like virus-host interactions and cardiomyocyte receptors Surface Chemistry Investigations: Studying water interfaces for ice nucleation and oil sands extraction processes using nonlinear optical spectroscopy Publication Trends: Recent work (2018-2023) emphasizes super-resolution microscopy techniques, machine learning applications in chemical analysis, and environmental/industrial surface chemistry. Key areas include Nipah virus assembly, cardiac calcium signaling, and bitumen-water interfacial dynamics.

Don Sinمشاهده پروفایل

استاد

• Chronic Obstructive Pulmonary Disease (COPD)
• Respiratory Disease Research
• Omics Data Analysis
• +۵ مورد دیگر

Don Sin is a Professor of Medicine at the University of British Columbia (UBC), Director of the Centre for Heart Lung Innovation (HLI), and a respirologist at St. Paul’s Hospital. He holds a Tier 1 Canada Research Chair and the De Lazzari Family Chair at HLI, with an H-index of 110 from over 700 peer-reviewed publications. Education: MD (University of Alberta, 1991), MPH (Harvard University, 1997) Leadership: Deputy Chief Editor, European Respiratory Journal; GOLD Scientific Committee member Research Focus Dr. Sin specializes in using multi-omics approaches (microbiome, transcriptome, methylome) to study COPD heterogeneity. His work integrates in vivo imaging (CT/MRI) with bronchoscopic sampling to map structural-molecular correlations. Key projects include: Phenotyping alveolar macrophages in COPD via single-cell sequencing Linking airway dysbiosis to inflammatory responses and hypoxia Developing hyperpolarized 129Xe MRI for functional lung imaging Testing radiofrequency therapy for emphysema Scientific Contributions His recent publications (2025-2023) highlight advances in: Epigenetic aging and cannabis smoking effects Precision medicine through polygenic/transcriptomic risk scores Cardiopulmonary interactions in COPD and Long COVID Awards & Leadership Recipient of Canada’s highest research honors, he chairs guideline committees and serves as a principal investigator in national COPD cohorts (e.g., CanCOLD).

• Solid Tumors
• Clinical Trials
• Drug Development
• +۷ مورد دیگر

Glen Weiss is an Associate Professor at UMass Chan Medical School in the Department of Medicine, with a focus on translational oncology and clinical trials. His research spans solid tumors, immunotherapy, and microbiome interactions in cancer progression. Rutgers University - BA in Biological Sciences Arizona State University - MBA Sackler School of Medicine, Tel Aviv - MD Dr. Weiss specializes in non-small cell lung cancer (NSCLC) , CAR-T therapy , and microbiome impacts on immunotherapy . His work integrates radiomics , genomic profiling , and biomarker discovery for personalized cancer treatment. Recent publications highlight his contributions to urinary proteomics in predicting immunotherapy outcomes, CAR-T metabolic engineering , and microbiome-driven NSCLC prognosis . His research bridges clinical trial data with computational biology . Dr. Weiss collaborates across disciplines in oncology , immunology , and microbiome research , with affiliations at T.H. Chan School of Medicine.

Joachim Lingnerمشاهده پروفایل

استاد

• Telomeres
• Telomerase
• Non-coding RNA
• +۹ مورد دیگر

Joachim Lingner is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Life Sciences (SV), Institute of Bioengineering (ISREC), and leads the Unit of Prof. Lingner (UPLIN). He holds multiple teaching roles in Life Sciences Engineering, EDMS, and SSV programs. His research focuses on telomere biology, chromatin dynamics, and their implications in aging and cancer. He also contributes to doctoral education and curriculum development at EPFL. Research Interests: Dr. Lingner's work centers on the molecular mechanisms of telomere maintenance, particularly the role of telomerase and the long noncoding RNA TERRA. His lab investigates how telomeres protect chromosome ends, regulate cellular lifespan, and respond to oxidative stress. They study the telomeric proteome using advanced techniques like QTIP (Quantitative Telomeric chromatin Isolation Protocol) and explore the interplay between telomeric R-loops, DNA repair, and replication. Key areas include telomerase regulation, oxidative damage protection via PRDX1 and MTH1, and chromatin remodeling during aging and disease. Scientific Trends from Publications: His recent work (2019–2025) shows a strong focus on TERRA-mediated regulation, R-loop dynamics, oxidative stress responses, and the proteomic characterization of telomeres during replication and damage. There is increasing integration of biochemical, cell biological, and proteomic approaches to dissect telomere function in both normal and pathological states, particularly in cancer and aging. START-fellowship from the Swiss National Science Foundation (1997) Friedrich Miescher prize (2002) ERC advanced investigator award (2008) Elected member of EMBO (2005) Elected member of Academia Europaea (2020) Advising and Grants: Dr. Lingner has supervised over 14 PhD students and continues to mentor postdoctoral researchers and students at EPFL. His lab has been supported by major grants, including an ERC Advanced Investigator Award and SNSF funding. He actively recruits motivated candidates for postdoctoral and student projects related to telomere biology. Labs and Teams: He leads the Lingner Lab at EPFL, which is part of ISREC and focuses on telomere chromatin, oxidative damage, and replication. The lab employs a multidisciplinary approach combining mass spectrometry, biochemistry, cell biology, and molecular genetics. Key collaborators include researchers in DNA repair, chromatin, and cancer biology at EPFL and beyond.

Weihua Guanمشاهده پروفایل

دانشیار

• Nanopore Technology
• Point-of-Care Diagnostics
• Nucleic Acid Testing
• +۷ مورد دیگر

Weihua Guan is an active faculty member in the Department of Electrical Engineering at Penn State University's College of Engineering. His research is centered on developing advanced diagnostic technologies for point-of-care and point-of-need applications, particularly in low-resource settings. He is affiliated with the Health and the Environment research theme and contributes to cutting-edge work in nanopore-based sensing, nucleic acid testing, and microfluidics. Research Interests: Dr. Guan’s work bridges nanotechnology, molecular biology, and biomedical engineering. His primary focus includes solid-state nanopores, CRISPR-based detection, isothermal amplification (e.g., RT-LAMP), and machine learning for diagnostic accuracy. He develops compact, portable devices for diseases such as HIV, malaria, and monkeypox, enabling lab-free, sample-to-answer testing using whole blood or saliva. His recent publications (2023–2025) reveal a strong trend toward integration of nanoscale sensors with molecular assays, emphasizing purification-free workflows, multiplexing, and self-administered testing. Many articles appear in high-impact journals like ACS Sensors , Biosensors and Bioelectronics , and Nature Biomedical Engineering , indicating significant contributions to translational diagnostics. Scientific Awards: NSF Early Career Award (mentioned in news release, 2022) Dr. Guan leads a dynamic research group focused on next-generation diagnostics. His team has developed handheld, portable, and multiplexed devices that eliminate the need for lab infrastructure, supporting global health equity. While specific grant details are not listed, the scale and scope of the research suggest substantial external funding, likely from NSF, NIH, or similar agencies. Frequent co-authors such as M. A. Ahamed, A. Kshirsagar, M. Dong, and T. Liu may represent key members of his research team. Labs and Research Teams: Although not explicitly named, Dr. Guan’s lab is clearly engaged in interdisciplinary research at the intersection of nanotechnology and diagnostics. The lab develops integrated systems combining microfluidics, nanopores, CRISPR, and machine learning for real-world health applications.

Percy Zahlمشاهده پروفایل

پژوهشگر

• Surface Science
• Scanning Probe Microscopy
• Low-Temperature Instrumentation
• +۶ مورد دیگر

Dr. Percy Zahl is a Senior Staff Scientist at Brookhaven National Laboratory's Center for Functional Nanomaterials , specializing in Interface Sciences/Catalysis . With over two decades of experience, he leads the Low Temperature (LT) STM and NC-AFM/HR-AFM facility , providing world-class expertise in high-resolution imaging and experimental services. He is the lead developer of the open-source GXSM software since 2000, a globally used platform for scanning probe microscopy. Education : 1995-1996: Diplom Thesis in Physics, Leibniz University Hannover 1996-2000: Ph.D. in Physics, Leibniz University Hannover Research Interests span surface science , epitaxy , scanning probe microscopy (STM/AFM) , and instrumentation R&D . His work focuses on atomic-scale imaging , graphene nanoribbons , molecular binding phenomena , and AI-assisted microscopy . He explores quantum transport , spintronics , and low-temperature techniques . Scientific Impact includes the 2012 George T. Hanyo Award (AVS) for his contributions to open-source microscopy software. His publications cover graphene synthesis , molecular electronics , and nanoscale force quantification , with over 20 articles from 2025-2022 alone.

Dev Majumdarمشاهده پروفایل

استادیار

• RNA Biology
• Immunology
• Single Molecule Biophysics
• +۵ مورد دیگر

Dev Majumdar is an Assistant Professor in the Department of Cellular, Molecular, and Biomedical Sciences at the University of Vermont. His lab combines B cell immunology with RNA biology to study mRNA vaccines, SARS-CoV-2 mechanisms, and RNA regulation in immune cells. He holds a BS from MIT and a PhD in Molecular Biophysics from UCLA, followed by postdoctoral work at Caltech and additional training at the Guttman Lab. Majumdar's research focuses on: Developing next-generation mRNA vaccines and therapeutics using lipid nanoparticles Investigating SARS-CoV-2 viral replication mechanisms, particularly double-membrane vesicles (DMVs) Studying RNA regulatory processes in B cell development and antibody production Applying microfluidics and single-molecule techniques to biological questions His publications demonstrate strong interdisciplinary focus, with recent work spanning immunology (40%), virology (25%), biophysics (20%), and nanotechnology (15%). Dominant themes include mRNA vaccine mechanisms, SARS-CoV-2 host interactions, T/B cell biology, and novel imaging/delivery platforms. Majumdar actively mentors graduate and undergraduate researchers, with current advisees including Jacob Dearborn, Will Dowell, and Tylar Kirch. Alumni have pursued advanced degrees at institutions like Cornell and Dartmouth. His lab collaborates extensively with UVM colleagues in immunology, vascular biology, and COVID-19 research. The Majumdar Lab operates at the Health Science Research Facility 306, developing cutting-edge approaches at the immunology-RNA biology interface. Current projects include machine learning applications for immune repertoire analysis and CRISPR-based studies of trauma-induced immune responses.