- Citations, last 5 years
- 314.8k
- Works, last 5 years
- 35.6k
- h-index
- 1,181
- Scientists listed
- 2 564
- Grants since 2016
- 2 077
Grants received
2020–2024 · grant · Standard Grant
NSF-BSF: RI: Small: Resource-Constrained Multi-hypothesis-aware Perception
Michael Kaess · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · grant · Standard Grant
Collaborative Research: Direct Lending in the U.S. Middle Market
Tetiana Davydiuk · Carnegie Mellon University · funded by National Science Foundation
2020–2023 · grant · Standard Grant
CNS Core: Small: Toward Globally-Optimal Resource Distribution and Computation Acceleration in Multi-Tenant and Heterogeneous Machine Learning Systems
Eric Xing · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · grant · Continuing Grant
High Throughput Experiments to Determine Structure-Performance Relationships for Oxide Photocatalysts
Gregory Rohrer · Carnegie Mellon University · funded by National Science Foundation
2020–2026 · research · R01
Efficient and Cost-Effective Multimodal System for Pain Management in Low Back Pain
Zakia Hammal · Carnegie Mellon University · funded by National Institutes of Health
2020–2024 · grant · Standard Grant
CIF: Small: Resource-Efficient Statistical Inference in Networked Environments
Yuejie Chi · Carnegie Mellon University · funded by National Science Foundation
2020–2025 · cooperative agreement · U01
Phase separation-induced nuclear organization in ALT Cancer
Huaiying Zhang · Carnegie Mellon University · funded by National Institutes of Health
2020–2025 · cooperative agreement · UM1
Multiscale Analyses of 4D Nucleome Structure and Function by Comprehensive Multimodal Data Integration
Frank Alber · Carnegie Mellon University · funded by National Institutes of Health
2020–2023 · grant · Standard Grant
IIBR:Informatics:Toward an Automated RNA-seq Bioinformatician
Carleton Kingsford · Carnegie Mellon University · funded by National Science Foundation
2020–2022 · grant · Standard Grant
Doctoral Dissertation Research in DRMS: Judgments of Answerers and the Answers They Give
Simon Dedeo · Carnegie Mellon University · funded by National Science Foundation
2020–2022 · research · R21
Instrumenting blood platelets: nanosensors for cumulative shear and compression measurement
Rebecca E. Taylor · Carnegie Mellon University · funded by National Institutes of Health
2020–2025 · research · R01
Smart Dura: A Functional Large-scale, High-Density Optoelectric Dura for Non-Human Primates
Maysamreza Chamanzar · Carnegie Mellon University · funded by National Institutes of Health
2020–2026 · research · R01
Cortical processing of informational masking
Barbara Shinn-Cunningham · Carnegie Mellon University · funded by National Institutes of Health
2020–2023 · research · R01
Reconstructing mechanisms of somatic variation in diverse cellular lineages
Russell S Schwartz · Carnegie Mellon University · funded by National Institutes of Health
2020–2025 · research · R35
Functional Synthetic Models of Cu-dependent Monooxygenases
Isaac Garcia-Bosch · Carnegie Mellon University · funded by National Institutes of Health
2020–2025 · grant · Standard Grant
Collaborative Research: CRCNS Research Proposal: Presynaptic structure-function relationships that control AP waveforms, calcium ion, entry, and transmitter release at NMJs
Rozita Laghaei · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · research · R01
Novel machine learning approaches for improving structural discrimination in cryo-electron tomography
Min Xu · Carnegie Mellon University · funded by National Institutes of Health
2020–2022 · fellowship · F31
Non-invasive EEG-based Continuous Three-dimensional Brain-Computer Interface
Daniel Suma · Carnegie Mellon University · funded by National Institutes of Health
2020–2021 · grant · Standard Grant
RAPID: Algorithms and Heuristics for Remote Food Delivery under Social Distancing Constraints
Stephen Smith · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · research · R01
Sample-specific Models for Molecular Portraits of Diseases in Precision Medicine
Eric P Xing · Carnegie Mellon University · funded by National Institutes of Health
2020–2024 · research · R01
Dimension-based auditory selective attention
Lori L Holt · Carnegie Mellon University · funded by National Institutes of Health
2020–2021 · fellowship · F32
Neural measures of temporal processing deficits affecting speech comprehension in listeners with normal hearing thresholds
Mishaela T Dinino · Carnegie Mellon University · funded by National Institutes of Health
2020–2024 · research · R01
Dynamic population codes for perception
Matthew A Smith · Carnegie Mellon University · funded by National Institutes of Health
2020–2021 · grant · Continuing Grant
Collaborative Research: Fine-Grained Statistical Inference in High Dimension: Actionable Information, Bias Reduction, and Optimality
Yuting Wei · Carnegie Mellon University · funded by National Science Foundation
2020–2025 · cooperative agreement · UM1
Multiscale Analyses of 4D Nucleome Structure and Function by Comprehensive Multimodal Data Integration
Frank Alber · Carnegie Mellon University · funded by National Institutes of Health
2020–2024 · grant · PROJECT GRANT (B)
DISCOVERY OF SIGNALING SMALL MOLECULES (E.G. QUORUM SENSING MOLECULES) FROM THE MICROBIOME
Carnegie Mellon University · funded by Office of Science
2020–2024 · research · R01
Efficient and Cost-Effective Multimodal System for Pain Management in Low Back Pain
Zakia Hammal · Carnegie Mellon University · funded by National Institutes of Health
2020–2024 · research · R01
Sample-specific Models for Molecular Portraits of Diseases in Precision Medicine
Eric P Xing · Carnegie Mellon University · funded by National Institutes of Health
2020–2025 · research · R01
Smart Dura: A Functional Large-scale, High-Density Optoelectric Dura for Non-Human Primates
Maysamreza Chamanzar · Carnegie Mellon University · funded by National Institutes of Health
2020–2026 · grant · Standard Grant
A Proposal for Annual Doctoral Student Participatory Workshops on Climate and Energy Decision Making
M Granger Morgan · Carnegie Mellon University · funded by National Science Foundation
2020–2022 · grant · Standard Grant
RAPID: Collaborative Research: The effects of evolutionary adaptations on the spreading of COVID-19
Osman Yagan · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · research · R01
Novel machine learning approaches for improving structural discrimination in cryo-electron tomography
Min Xu · Carnegie Mellon University · funded by National Institutes of Health
2020–2025 · research · R35
Functional Synthetic Models of Cu-dependent Monooxygenases
Isaac Garcia-Bosch · Carnegie Mellon University · funded by National Institutes of Health
2020–2022 · grant · Standard Grant
RAPID:The Effect of SARS-CoV-2 cellular entry in exacerbating monocyte activation
Elizabeth Wayne · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · research · R01
Computational Methods to Integrate and Interpret the Transcriptome from Single Cell and Tissue Level Data
Kathryn M Roeder · Carnegie Mellon University · funded by National Institutes of Health
2020–2023 · grant · Standard Grant
CDS&E: Collaborative Research: Deep learning enhanced parallel computations of fluid flow around moving boundaries on binarized octrees
Amir Barati Farimani · Carnegie Mellon University · funded by National Science Foundation
2020 · training · Postgraduate Scholarships - Doctoral
Self-forming and self-healing solid electrolyte interphases for lithium-metal based batteries_x000d_
Yumin Zhang · Carnegie Mellon University · funded by Natural Sciences and Engineering Research Council of Canada
2020–2024 · grant · Standard Grant
Development and Analysis of Algorithms to Simulate Multi-Component Multi-Phase Porous Flows
Noel Walkington · Carnegie Mellon University · funded by National Science Foundation
2020–2023 · grant · Standard Grant
WoU-MMA: The Evolution, Destruction, and Gravitational-wave Sources of Dense Star Clusters in Cosmological Simulations
Carl Rodriguez · Carnegie Mellon University · funded by National Science Foundation
2020–2023 · grant · OT2
Amplifying the Value of HuBMAP Data Through Data Interoperability and Collaboration
Philip D. Blood · Carnegie Mellon University · funded by National Institutes of Health