جست‌وجوی استاد و پژوهشگر

• Data Mining
• Artificial Intelligence
• Text Mining
• +۳ مورد دیگر

Jiawei Han is the Michael Aiken Chair Professor at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the Siebel School of Computing and Data Science and the Department of Computer Science. He holds a Ph.D. in Computer Science from the University of Wisconsin-Madison (1985). His research focuses on Data Mining, Text Mining, and Intelligent Systems, with notable contributions to knowledge hypercubes, molecular discovery, and geospatial understanding. Key affiliations include leading the Data Mining Research Group (DMG) and the Data and Information Systems Research Laboratory (DAIS). He is also involved in major initiatives like the NSF AI Institute for Molecular Discovery (Molecule Maker Lab) and the DARPA INCAS project. Recent work emphasizes large language models (LLMs), scientific knowledge integration, and graph-based reasoning. Notable achievements include an ICLR 2024 Outstanding Paper Honorable Mention (co-authored with Suyu Ge) and mentoring Yu Meng, recipient of the ACM SIGKDD 2024 Dissertation Award. Teaching includes courses such as CS 412 (Data Mining), CS 512 (Data Mining Principles), and specialized topics like Text Mining with Large Language Models (Fall 2024). He has authored/co-authored numerous books, including editions of *Data Mining: Concepts and Techniques* and works on taxonomy discovery and text mining. His research spans interdisciplinary areas such as bioinformatics, geospatial analytics, and molecular innovation, with a focus on practical applications and foundational theory.

Christopher Rolandمشاهده پروفایل

استاد

• Theoretical Condensed Matter Physics
• Biophysics
• DNA/RNA Structures
• +۳ مورد دیگر

Professor Christopher Roland is a faculty member in the Department of Physics at North Carolina State University, part of the College of Sciences. He holds the rank of Professor since 2002, joining the university in 1993 after completing his PhD in Physics at McGill University, Canada, and postdoctoral work at the University of Toronto and AT&T Bell Laboratories. His research focuses on theoretical condensed matter physics and biophysics, particularly investigating nucleic acid structures (DNA and RNA) associated with neurodegenerative and neuromuscular disorders like Trinucleotide Repeat Expansion Diseases (TREDs). Key areas include DNA/RNA hairpin dynamics, free energy calculations, and molecular mechanisms underlying genetic mutations. Recent publications emphasize structural and computational studies of nucleic acid conformations, such as Z-DNA motifs, triplex formations, and disease-linked repeat sequences. His work bridges quantum transport simulations, biomolecular modeling, and disease prediction. No scientific awards are explicitly listed in the provided materials. His research is supported by grants from NC State University and collaborations within the Department of Physics. Laboratory and team details are not specified, though his work aligns with computational biophysics and condensed matter research groups at NC State.

Andreas Bauschمشاهده پروفایل

استاد

• Cellular Biophysics
• Molecular Biophysics
• Structural Biology
• +۶ مورد دیگر

Prof. Andreas Bausch holds the Heinz Nixdorf Endowed Chair of Cell Biophysics at the Technical University of Munich (TUM) within the TUM School of Natural Sciences . His research focuses on cellular biophysics , particularly the mechanical properties of cytoskeletal networks and self-organization mechanisms in biological systems, with applications in biomimetic materials and organoid modeling. Research Areas : Cytoskeletal mechanics, active matter systems, organoid morphogenesis, integrin signaling, synthetic cell models Techniques : Microrheology, in vitro reconstitution, microfluidics, advanced imaging His work has produced over 100 publications in Nature, Science, PNAS , and Physical Review Letters , with recent emphasis on pancreatic cancer organoids and artificial cell membranes . Key findings include: Discovery of topological excitations governing endothelial cell ordering Elucidation of PIP2/PIP3 regulation in integrin phase separation Development of 3D patterned organoid systems for drug screening Major awards include: ERC Synergy Grant (2018) ERC Advanced Grant (2012) ERC Starting Grant (2011) Berlin-Brandenburg Academy of Sciences Prize (2014) He serves as founding director of the Center for Functional Protein Assemblies (CPA) since 2015 and teaches biomechanics , biophysics , and protein assemblies at TUM. His lab investigates both fundamental biophysical principles and their medical applications in cancer and cardiovascular systems.

• Bioinformatics
• Genomics
• Cancer Genomics
• +۷ مورد دیگر

Dr. Andre Kahles is a Lecturer in the Department of Computer Science at ETH Zürich, specializing in biomedical informatics. His research focuses on computational methods for analyzing large-scale genomic and transcriptomic data, with applications in cancer genomics, metagenomics, and precision medicine. He has contributed to the development of tools such as SplAdder for alternative splicing analysis, MetaGraph for petascale genomic data exploration, and SECEDO for subclone detection in cancer genomes. His work bridges algorithmic innovation with biological insights, addressing challenges in single-cell analysis, genome graph alignment, and multi-omics integration. Key research themes include: Developing scalable algorithms for processing nanopore sequencing and metagenomic data Characterizing somatic mutations and non-coding drivers in cancer genomes Advancing genome graph-based alignment and annotation methods Integrating multi-omics data for clinical decision-making and tumor profiling His publications span topics like RNA-seq analysis, chromothripsis in cancers, and global urban microbiome tracking through the MetaSUB consortium. Kahles has collaborated on landmark projects including the Pan-Cancer Analysis of Whole Genomes (PCAWG) and the Tumor Profiler Study.

Virginia Davisمشاهده پروفایل

استاد

• Self-assembly of nanomaterials
• Rheology
• Lyotropic liquid crystals
• +۴ مورد دیگر

Virginia Davis is the Dr. Daniel F. and Josephine Breeden Professor in the Department of Chemical Engineering at Auburn University's College of Engineering. She holds a Ph.D. in Chemical and Biomolecular Engineering from Rice University, and M.S. and B.S. degrees in Chemical Engineering from Tulane University. Research Focus: Self-assembly of nanomaterials, rheology, lyotropic liquid crystals, additive manufacturing, polymers, nanocomposites, and biosensors Key Projects: USDA-funded agricultural outreach, NSF grant for MXene dispersion studies, Alabama STEM Council member Her recent publications explore cellulose nanocrystals, MXene 3D printing, and sustainable polymer recycling. Davis has received multiple honors including the Breeden Professorship, AIChE Fellowship, and Auburn University Faculty Awards for research and mentorship. Research Trends: Dominated by bio-based nanomaterials (cellulose nanocrystals, MXenes), with applications in additive manufacturing, environmental remediation (PFAS adsorption), biosensors (carbofuran detection, cancer biomarkers), and agricultural delivery systems. Scientific Awards Auburn University Faculty Awards (2023, 2025) AIChE Fellow (2023) Dr. Daniel F. and Josephine Breeden Professorship Davis leads outreach initiatives like the Tomorrow’s Community Innovators camp and collaborates with interdisciplinary teams on plastic recycling innovations. Her work emphasizes both fundamental material science and practical applications addressing environmental and agricultural challenges.

Alfredo Pasquarelloمشاهده پروفایل

استاد

• Theoretical Condensed Matter Physics
• Computational Materials Science
• Electronic Structure
• +۶ مورد دیگر

Alfredo Pasquarello is a Full Professor at the Chair of Atomic Scale Simulation within the Condensed Matter Theory Laboratory (CSEA) at the Ecole Polytechnique Fédérale de Lausanne (EPFL) . He teaches courses such as Computer Simulation of Physical Systems I and General Physics: Quanta . Education: Physics at Scuola Normale Superiore of Pisa (1986), University of Pisa (1986), PhD at EPFL (1991). Research: Focuses on atomic-scale simulations using density functional theory (DFT) and many-body perturbation to study defects in oxides , oxide-semiconductor interfaces , and energy materials like perovskites and photocatalysts. Recent Publications: 15 most recent articles (2022–2024) address band gaps, polarons, water splitting, and defect engineering in materials for photovoltaics and electrochemistry. Awards: Recipient of the EPFL Latsis Prize (1998) . Students: Supervised PhD/Master's students including Stefano Falletta, Thomas Bischoff, Patrick Gono, and Zhendong Guo. Labs: Leads the Chair of Atomic Scale Simulation at EPFL SB IPHYS CSEA.

• Particle interactions
• Kinetic theory of aggregation
• Nanotechnology
• +۵ مورد دیگر

Lande Liu is a Senior Lecturer in Chemical Engineering at the University of Huddersfield's School of Applied Sciences. Previously, he held a Lectureship at the University of Manchester (2010-2014), and earlier worked as an industrial consultant and research fellow at Leeds and Sheffield Universities. His academic journey began with a MEng in Chemical Engineering and a PhD in kinetic theory of aggregation from Sheffield (2004), preceded by a visiting PhD at Twente University (2002). Education: PhD in Chemical Engineering (University of Sheffield, 2004) Visiting PhD (Twente University, 2002) MEng in Chemical Engineering (Tsinghua University, 1999) BSc in Applied Mathematics (Tsinghua University, 1996) Liu's research focuses on multi-scale particle interactions (molecular to granular) using kinetic theory of aggregation, with applications spanning nanotechnology, pharmaceutical engineering, and sustainable chemical processes. His work aligns with UN Sustainable Development Goals for environmental protection and industrial innovation. Recent publications examine particle deposition in turbulent flows, enhanced heat exchanger designs, and nanofluid stabilization techniques. He teaches core chemical engineering topics including transport phenomena, unit operations, and process design. Active in collaborative research, Liu has partnered with institutions across Europe on projects involving spectroscopy, ultrasonics, and dynamic modeling. His technical expertise includes particle size analysis, tomography, and computational simulation of complex systems.

Mihye Wonمشاهده پروفایل

دانشیار

• Science Education
• Virtual Reality in Education
• Artificial Intelligence in Education
• +۵ مورد دیگر

Mihye Won is an Associate Professor at Monash University’s Faculty of Education, specializing in innovative science education strategies. Her research integrates dialogic teaching, student-generated diagrams, immersive Virtual Reality (VR), and generative AI to enhance scientific understanding and creativity. She has secured Australian Research Council (ARC) funding for projects like Using Immersive Virtual Reality to Enhance Science Visualisation (2019–2025) and Drawing Science Diagrams to Enhance Scientific Creativity (2018–2025). Her work supports students, teachers, and early-career researchers, aligning with the UN Sustainable Development Goal for Education. PhD, University of Illinois at Urbana-Champaign: Inquiry-based science education via Dewey’s theory of inquiry Her research focuses on: Dialogic teaching to foster student reasoning Student-generated diagrams for conceptual understanding VR for visualizing complex science topics Generative AI in science learning Creative and critical thinking in science education Recent articles span VR applications, AI in physics education, collaborative drawing techniques, and curriculum-aligned creative pedagogy. Awards include the Most Valuable Paper Award 2024 for her work on enzyme-substrate interactions in VR. She serves on the advisory board for Chemistry Education Research and Practice and the editorial board of the International Journal of Science Education .

• Fluid Dynamics
• Computational Fluid Dynamics
• Multiphase Flow
• +۳ مورد دیگر

Gustav Amberg is a Professor at KTH Royal Institute of Technology, affiliated with the Flow Mechanics research group within the School of Engineering Sciences. His primary appointment is in the Department of Mechanics, where he focuses on fluid dynamics, multiphase flow, and interfacial phenomena. He holds a permanent full professorship with no indication of兼职 roles. Research interests center on dynamic wetting mechanisms, phase-field modeling, and computational fluid dynamics applied to complex fluid systems. His work explores contact line behavior, microstructured surface interactions, and material phase transformations. Notable areas include rapid droplet spreading, viscoelastic fluid dynamics, and boiling heat transfer on engineered surfaces. Recent studies investigate the interplay between surface topography and wetting dynamics, oscillatory contact line phenomena, and numerical benchmarking across molecular and continuum models. He has pioneered methods for simulating surfactant effects in multiphase flows and developed novel approaches for analyzing weld pool behavior during sintering processes. No academic awards or grants are explicitly listed in the provided materials. His advising record remains undisclosed, though his prolific publication history suggests active research supervision. Laboratory affiliations are not detailed, but his work aligns with KTH's broader initiatives in computational mechanics and materials science.

Alexander J. Harteminkمشاهده پروفایل

استاد

• Computational Biology
• Machine Learning
• Genomics
• +۵ مورد دیگر

Professor Alexander J. Hartemink holds dual appointments in the Department of Computer Science and Department of Biology at Duke University, Trinity College of Arts & Sciences. He is also a Bass Fellow in Computer Science. His research focuses on computational biology, machine learning, and systems biology, with applications to genomics, epigenomics, and transcriptional regulation. Hartemink leads the Duke Office of University Scholars and Fellows and has directed the Computational Biology and Bioinformatics graduate program. He earned a PhD from MIT (2001), MPhil from the University of Oxford (1996), and BS from Duke (1994). Research Interests His work integrates computational methods to study chromatin dynamics, transcriptional networks, and epigenetic mechanisms. Key areas include modeling chromatin accessibility, predicting transcription factor binding, and understanding cell-cycle regulation. Techniques employed include Bayesian networks, dynamic systems modeling, and machine learning algorithms. Publications & Trends Recent work emphasizes single-cell multi-omics integration, chromatin occupancy modeling (RoboCOP framework), and transcriptional regulation in response to genetic perturbations. Themes include epigenetic plasticity, disease-associated enhancers, and systems-level analysis of gene expression. Awards & Grants Hartemink has received the Sloan Research Fellowship (2005) and NSF CAREER Award (2004). Active grants include NIH funding for chromatin-transcription interplay studies and NSF support for regulatory genome research. He collaborates on projects like the Data+ initiative, promoting interdisciplinary data science. Affiliations & Labs Associated with Duke’s Center for Genomic and Computational Biology and Center for Advanced Genomic Technologies. His lab develops computational tools for genomic analysis, including software for chromatin modeling and epigenetic data integration.

Changyou Chenمشاهده پروفایل

دانشیار

• Multi-Modal Learning
• Vision and Language
• Foundation Models
• +۷ مورد دیگر

Dr. Changyou Chen is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York. His research focuses on Multi-Modal Learning Foundation Models Deep Generative Models Large-scale Bayesian Sampling with applications in document understanding, music-AI integration, and molecular representation learning. Research Trends revealed through his recent publications include Optimizing Multimodal Large Language Models Developing Novel Retrieval-Augmented Generation Frameworks Creating Benchmark Datasets for Visual Text Understanding Advancing Diffusion Models with Domain-Specific Constraints across domains from music sheets to biomedical documents. Scientific Contributions : UB Young Investigator Award (2020) Architect of LoCAL Framework for Long Document Understanding Co-developer of MusiXQA Benchmark Pioneering Work in Probability Contrastive Learning Academic Leadership includes mentoring 10+ graduate students and serving as Area Chair for major AI conferences (ICML, NeurIPS, AAAI, IJCAI). His Labs develop scalable solutions for multimodal reasoning, with recent work demonstrating practical GPU memory optimization through LoRA adapter sharing.

• Leukemia
• Myelodysplastic Syndromes
• Myeloproliferative Disorders
• +۴ مورد دیگر

Nikolai Podoltsev, MD, PhD, is an Associate Professor of Medicine (Hematology) at Yale University School of Medicine. He serves as the Associate Director of the Hematology/Oncology Fellowship Program and Clinical Director of Malignant Hematology within the Department of Internal Medicine. Dr. Podoltsev is also the director of the Hematology/Leukemia Tumor Board and represents Yale Cancer Center on National Comprehensive Cancer Network (NCCN) clinical practice guidelines panels, including the Myeloproliferative Neoplasms Panel. Dr. Podoltsev's research focuses on the management of patients with acute leukemias (including acute myeloid leukemias and acute lymphoblastic leukemia), myeloid neoplasms (such as myelodysplastic syndromes and myeloproliferative neoplasms), and bone marrow failure syndromes. His work spans clinical research, epidemiology, and patterns of care for patients with hematological malignancies. As a principal investigator, he leads multiple clinical trials enrolling patients with acute leukemias and myeloid malignancies. Analysis of Dr. Podoltsev's recent publications (2024-2025) reveals a strong focus on therapeutic advancements in myeloid malignancies, particularly acute myeloid leukemia, myelodysplastic syndromes, and myelofibrosis. His research spans drug development (including novel agents like imetelstat and luspatercept), combination therapies, treatment sequencing, and cost-effectiveness analyses. There is a clear emphasis on translating molecular understanding into clinical applications, with significant work on targeted therapies for specific genetic mutations. Yale Cancer Center Award for Clinical Excellence (2022) The David S. Fischer, MD Annual Award for Outstanding Teaching and Mentoring in Hematology (2021, 2017, 2011) As the Associate Director of the Yale Hematology/Oncology Fellowship Program and Yale-New Haven Hospital Duffy Firm Chief for Education, Dr. Podoltsev plays a pivotal role in hematology education for fellows, residents, and medical students. He is actively involved in multiple clinical trials through the Leukemia Clinical Research Team and the Yale Cancer Outcomes Public Policy and Effectiveness Research (COPPER) Center, which enables him to study epidemiology and patterns of care for hematological malignancies. Dr. Podoltsev is part of the Leukemia Disease Aligned Research Team (DART) at Yale Cancer Center, where he contributes to advancing treatment options for patients with blood cancers. His clinical expertise spans the full spectrum of malignant hematology with a particular focus on older adult patients.

Maria Chikinaمشاهده پروفایل

استادیار

• Computational Biology
• Genomics
• Machine Learning
• +۷ مورد دیگر

Maria Chikina is an Assistant Professor at the University of Pittsburgh School of Medicine's Department of Computational and Systems Biology. She holds a PhD in Molecular Biology from Princeton University. Her research focuses on developing computational methods to analyze large-scale genomic datasets, bridging statistical rigor with biological insights to overcome experimental biases. Key research areas include latent variable modeling (e.g., PLIER, CellCODE), interpretable neural networks for sequence-to-function modeling, evolutionary rate analysis (RERconverge), and applications in tumor immunology, exercise genomics, and infectious disease (e.g., SARS-CoV-2). Her lab has developed tools like InstaPrism, NIFA, and L0 segmentation for data-driven biological discovery. Her work spans collaborations with institutions like UPMC (on tumor microenvironment) and the Molecular Transducers of Physical Activity Consortium (MoTraPAC). Notable projects include analyzing convergent evolution in marine mammals and subterranean species, and developing epigenetic biomarkers for disease states through the ECHO program. Lab members include PhD students (Rezwan Hosseini, Tugrul Balci) and postdocs (Tina Subic, Anish Sevekari). Past students Wynn Meyer now leads a group at Lehigh University. Her group emphasizes open-source tools (GitHub repository ChikinaLab) and interdisciplinary approaches to systems biology challenges.

Yuri Rostovtsevمشاهده پروفایل

استاد

• Quantum Coherence
• Electromagnetically Induced Transparency
• Free Electron Lasers
• +۲ مورد دیگر

Dr. Yuri Rostovtsev is a Professor at the University of North Texas, specializing in quantum optics and atomic physics. He holds a Ph.D. from the Russian Academy of Sciences (1991). His office is located in GAB 525I and he can be contacted at (940) 565-3281. Research Interests: Dr. Rostovtsev's research focuses on quantum coherence phenomena, electromagnetically induced transparency, and matter-field interactions. His work spans theoretical and experimental investigations in quantum optics, including studies of quantum refraction, biophotons, and ultrafast processes in atomic and molecular systems. Recent Publications: His recent articles explore advanced quantum phenomena including single-photon interactions with atoms, quantum state engineering, plasmonic structures, and ultrafast dynamics in molecular systems. These publications demonstrate a consistent focus on quantum coherence effects and light-matter interactions at the quantum level. Scientific Awards: No awards mentioned in the provided text. Advising and Labs: No information available about students or research laboratories.

Océane Martinمشاهده پروفایل

مدرس

• Microbiota
• Cancer Biology
• Clinical Microbiology
• +۹ مورد دیگر

Océane Martin is a Lecturer in Clinical Microbiology at the University of Bordeaux, where she conducts her research at the Institute of Cellular Biochemistry and Genetics, a joint unit of CNRS and the university. Her work bridges clinical microbiology, oncology, and nutritional sciences. Research Interests: Océane Martin specializes in the role of the microbiota in cancer development, particularly focusing on: Links between processed meat consumption, nitrites/nitrates, and colorectal cancer. The role of pathogenic bacteria like Helicobacter pylori and Salmonella in gastric and colorectal cancers. The gut-brain axis in glioblastoma, including how the microbiota influences tumor progression and therapeutic resistance through the GLIOBIOTA project. Intratumoral microbiota in brain tumors and their functional implications. Publication Trends: Her recent publications reflect a strong focus on bacterial genotoxins, DNA damage responses, host immune modulation, and dietary factors in carcinogenesis. Her work integrates molecular microbiology with immunology and cancer biology, often using in vivo models to study host-pathogen dynamics. Scientific Contributions: Member of ANSES working group (2020–2022) on nitrite salts in food. Invited expert at the French National Assembly on nitrite-related health risks. Regular contributor to public science communication via The Conversation and national media. Advising and Grants: While no formal students are listed, her leadership in the GLIOBIOTA project suggests active mentorship and grant-funded research. Her involvement in national expert panels and interdisciplinary projects indicates sustained funding and collaborative research networks. Labs and Teams: She conducts research at the Institute of Cellular Biochemistry and Genetics (University of Bordeaux / CNRS), contributing to teams focused on infection biology, microbiota, and cancer. Her work aligns with translational research initiatives linking diet, microbiology, and oncology.