- 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
2020–2025 · research · R35
Dissecting the mechanism of cell migration at the systems level
Yu-Li Wang · Carnegie Mellon University · funded by National Institutes of Health
2020–2025 · fellowship · OE
Study of adECM/GBM Scaffolds with Electrical Stimulation Functionality for Spinal Cord Injury Treatment
Latifah Abdullah Rashed Almaghrabi · Carnegie Mellon University · funded by Fundação para a Ciência e a Tecnologia
2020–2024 · grant · Standard Grant
Effects of Mechanically-Induced Stress on the Proteome and Development
Philip Leduc · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · research · R01
Behavioral outcomes and neurobiological mechanisms of sustained auditory selective attention
Lori L Holt · Carnegie Mellon University · funded by National Institutes of Health
2020–2025 · research · R01
DBS Protocols for Long-Lasting Therapeutic Benefit in Mouse and Primate Models of Parkinson's Disease
Aryn Hilary Gittis · Carnegie Mellon University · funded by National Institutes of Health
2020–2025 · 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
2020–2022 · fellowship · F30
3D Printed Collagen Tracheal Scaffolds with Biomimetic Microstructure
Joshua Tashman · Carnegie Mellon University · funded by National Institutes of Health
2020–2024 · grant · Continuing Grant
Subsurface Hydrogen in a Alloy Hydrogenation Catalysis
Andrew Gellman · Carnegie Mellon University · funded by National Science Foundation
2020–2029 · research · R01
Methods for single-cell CRISPR screens and multiomic data: constructing powerful well-calibrated tests, circumventing unmeasured confounding, and accounting for denoising and imputation
Kathryn M Roeder · Carnegie Mellon University · funded by National Institutes of Health
2020–2024 · fellowship · Hertz Fellowship
Hertz Fellowship — Maxwell Wang (2020)
Maxwell Wang · Carnegie Mellon University · funded by Hertz Foundation
2020–2025 · research · R01
Dynamic population codes for perception
Matthew A Smith · Carnegie Mellon University · funded by National Institutes of Health
2020–2023 · grant · Standard Grant
CCRI: Planning: Collaborative Research: A Platform for Conducting Software Engineering User Studies
Joshua Sunshine · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · grant · Standard Grant
New Tools for Analyzing Complex Network and Text Data
Jiashun Jin · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · grant · Standard Grant
Theory and Methods for Large-Scale Multi-Modal Matrix Data
Jing Lei · Carnegie Mellon University · funded by National Science Foundation
2020–2026 · research · R01
Cortical processing of informational masking
Barbara Shinn-Cunningham · Carnegie Mellon University · funded by National Institutes of Health
2020–2023 · grant · Standard Grant
III: Small: Improving automation and speed of macromolecule recognition and localization in cryo-electron tomography using unsupervised deep learning
Min Xu · Carnegie Mellon University · funded by National Science Foundation
2020–2021 · grant · Standard Grant
PFI-TT: Acoustic Filters for 5G Handsets
Gianluca Piazza · Carnegie Mellon University · funded by National Science Foundation
2020–2023 · grant · Standard Grant
Nonlinear Electrophoresis of Charged Colloidal Particles
Aditya Khair · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · grant · Standard Grant
CHS: Small: Towards Photorealistic Augmented and Virtual Reality Displays
Aswin Sankaranarayanan · Carnegie Mellon University · funded by National Science Foundation
2020–2026 · grant · Standard Grant
CAREER: Programmable Peptide Nucleic Acid Molecules as Building-blocks for Complex Nanostructures
Rebecca Taylor · Carnegie Mellon University · funded by National Science Foundation
2020–2022 · grant · Standard Grant
NSF Convergence Accelerator Track - Track D - AI-Enabled, Privacy-Preserving Information Sharing for Securing Network Infrastructure
Giulia Fanti · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · research · R01
Dynamic population codes for perception
Matthew A Smith · Carnegie Mellon University · funded by National Institutes of Health
2020–2024 · grant · Standard Grant
Collaborative Research: NRI: INT: Scalable, Customizable, Robot Learning with Humans
Deepak Pathak · Carnegie Mellon University · funded by National Science Foundation
2020–2023 · grant · Standard Grant
Collaborative Research: RI: Small: Theoretical Foundations: The Advantage of Deep Learning over Traditional Shallow Learning Methods
Yuanzhi Li · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · research · R01
Behavioral outcomes and neurobiological mechanisms of sustained auditory selective attention
Lori L Holt · Carnegie Mellon University · funded by National Institutes of Health
2020–2022 · research · R13
SYMPOSIUM ON COGNITIVE AUDITORY NEUROSCIENCE (SCAN)
Bharath Chandrasekaran · Carnegie Mellon University · funded by National Institutes of Health
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 · grant · Standard Grant
North American Computational Linguistics Olympiad (NACLO) 2020
Lorraine Levin · Carnegie Mellon University · funded by National Science Foundation
2020 · grant · Research
Research - Carnegie Mellon University (2020)
Granger Morgan · Carnegie Mellon University · funded by Alfred P. Sloan Foundation
2020–2022 · grant · Standard Grant
Optimal Scheduling of Parallelizable Jobs in Cloud Computing Environments
Mor Harchol-Balter · Carnegie Mellon University · funded by National Science Foundation
2020–2021 · grant · Standard Grant
NSF-BSF: Collaborative Research: RI: Small: Multilingual Language Generation via Understanding of Code Switching
Yulia Tsvetkov · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · grant · Standard Grant
Superparamagnets for Probabilistic and Reservoir Computing
Sara Majetich · Carnegie Mellon University · funded by National Science Foundation
2020–2024 · grant · Standard Grant
SHF:Small:Privacy Impact and Risk Assessment at Design-Time
Travis Breaux · Carnegie Mellon University · funded by National Science Foundation
2020–2025 · grant · Continuing Grant
Random Structures and Algorithms
Alan Frieze · Carnegie Mellon University · funded by National Science Foundation
2020–2025 · research · R01
REPRESENTATION OF FAMILIAR IMAGES IN VENTRAL STREAM VISUAL CORTEX
Tai-Sing Lee · Carnegie Mellon University · funded by National Institutes of Health
2020–2024 · grant · Continuing Grant
Incidental learning across statistically-structured input in active tasks
Lori Holt · Carnegie Mellon University · funded by National Science Foundation
2020–2023 · research · R21
Hybrid-nanomaterials for non-genetic optical stimulation of excitable cells
Tzahi Cohen-Karni · Carnegie Mellon University · funded by National Institutes of Health
2020–2022 · research · R13
SYMPOSIUM ON COGNITIVE AUDITORY NEUROSCIENCE (SCAN)
Bharath Chandrasekaran · Carnegie Mellon University · funded by National Institutes of Health
2020–2022 · research · R01
REPRESENTATION OF FAMILIAR IMAGES IN VENTRAL STREAM VISUAL CORTEX
Tai-Sing Lee · Carnegie Mellon University · funded by National Institutes of Health
2020–2025 · grant · Continuing Grant
CAREER: Toward Proactive Assistive Robotics
Henny Admoni · Carnegie Mellon University · funded by National Science Foundation
