- Citations, last 5 years
- 314.8k
- Works, last 5 years
- 35.6k
- h-index
- 1,181
- Scientists listed
- 0
- Grants since 2016
- 2 077
Grants received
2023–2024 · grant · Standard Grant
Elements: Software: Towards Efficient Embedded Data Processing
Jignesh Patel · Carnegie Mellon University · funded by National Science Foundation
2023–2024 · grant · Standard Grant
Travel: NSF Student Travel Grant for 2023 ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
Dimitrios Skarlatos · Carnegie Mellon University · funded by National Science Foundation
2023–2026 · fellowship · F31
Machine learning methods for the analysis and modeling of spatial proteomics data
Monica Dayao · Carnegie Mellon University · funded by National Institutes of Health
2023–2026 · grant · Standard Grant
Theory and Methods for Modern Predictive Inference
Jing Lei · Carnegie Mellon University · funded by National Science Foundation
2023–2026 · grant · Standard Grant
Collaborative Research: CyberTraining: Pilot: Building a strong community of computational researchers empowered in the use of novel cutting-edge technologies
Paola Buitrago · Carnegie Mellon University · funded by National Science Foundation
2023–2025 · grant · Standard Grant
Collaborative Research: Energy Efficiency and Energy Justice: Understanding Distributional Impacts of Energy Efficiency and Conservation Programs and the Underlying Mechanisms
Destenie Nock · Carnegie Mellon University · funded by National Science Foundation
2023 · training · Postdoctoral Fellowships
Functional Polymer Electrolytes for Lithium Metal Batteries
Soyoung Sy An · Carnegie Mellon University · funded by Natural Sciences and Engineering Research Council of Canada
2023–2028 · research · R01
CRCNS: Decision dynamics in cortico-basal ganglia-thalamic networks
Jonathan E. Rubin · Carnegie Mellon University · funded by National Institutes of Health
2023–2025 · grant · Continuing Grant
CAREER: Bug Tolerant Networking: Enabling Highly-Available Network Infrastructures through Semantic Transformations.
Theophilus Benson · Carnegie Mellon University · funded by National Science Foundation
2023–2027 · grant · Standard Grant
Collaborative Research: SaTC: CORE: Medium: Private Model Personalization
Zhiwei Steven Wu · Carnegie Mellon University · funded by National Science Foundation
2023–2027 · grant · Standard Grant
REU Site: Materials for Future Computing
Vincent Sokalski · Carnegie Mellon University · funded by National Science Foundation
2023–2025 · grant · Standard Grant
RAPID: DRL AI: Unlocking the Potential of Generative AI for Equity and Access in Robotics Education
Ross Higashi · Carnegie Mellon University · funded by National Science Foundation
2023–2024 · grant · Standard Grant
Conference: 21st International Conference on Random Structures & Algorithms
Tom Bohman · Carnegie Mellon University · funded by National Science Foundation
2023–2026 · grant · Standard Grant
Collaborative Research: SHF: Medium: A hardware-software co-design approach for high-performance in-memory analytic data processing
Jignesh Patel · Carnegie Mellon University · funded by National Science Foundation
2023–2026 · grant · Standard Grant
Robust Multi-Robot Path Planning and Execution on a Large Scale
Jiaoyang Li · Carnegie Mellon University · funded by National Science Foundation
2023–2026 · grant · Standard Grant
Collaborative Research: Adaptable Game-based, Interactive Learning Environments for STEM Education (AGILE STEM)
Conrad Tucker · Carnegie Mellon University · funded by National Science Foundation
2023–2026 · fellowship · F31
Machine learning methods for the analysis and modeling of spatial proteomics data
Monica Dayao · Carnegie Mellon University · funded by National Institutes of Health
2023–2028 · grant · Continuing Grant
CAREER: Uncovering the brain circuitry of language and its interaction with other modalities
Leila Wehbe · Carnegie Mellon University · funded by National Science Foundation
2023–2028 · grant · Continuing Grant
Center: IUCRC Phase I Carnegie Mellon: Center for Quantum Computing and Information Technologies (Q-CIT)
Elias Towe · Carnegie Mellon University · funded by National Science Foundation
2023–2024 · grant · Standard Grant
Conference: Student Support for Second International Conference on Homotopy Type Theory (HoTT 2023)
Steven Awodey · Carnegie Mellon University · funded by National Science Foundation
2023–2024 · program · P41
Enhanced Echinobase: A Community Genomics Research Resource For The Future
Charles A. Ettensohn · Carnegie Mellon University · funded by National Institutes of Health
2023–2027 · grant · Standard Grant
NSF/MCB-BSF: Probing cellular surplus in single bacterial cells to understand concerted controls of cell growth and adaptation
Fangwei Si · Carnegie Mellon University · funded by National Science Foundation
2023–2028 · research · R35
Gauging how the plasticity of cellular organizations dictates growth, death and adaptation in single bacterial cells
Fangwei Si · Carnegie Mellon University · funded by National Institutes of Health
2023–2031 · research · R35
Circuit-Inspired Strategies to Restore Basal Ganglia Function in Mouse Models of Parkinson’s Disease
Aryn Hilary Gittis · Carnegie Mellon University · funded by National Institutes of Health
2023–2026 · grant · Standard Grant
Conference/Collaborative Research: Interdisciplinary Workshop on Mechanical Intelligence; Alexandria, Virginia; late 2023/early 2024
Victoria Webster-Wood · Carnegie Mellon University · funded by National Science Foundation
2023–2026 · grant · PROJECT GRANT (B)
UNLEASH THE MACHINE LEARNING CONTROL THEORETICAL DEVELOPMENT ON DIII-D
Carnegie Mellon University · funded by Office of Science
2023 · grant · Standard Grant
WORKSHOP: Doctoral Consortium at ACM DIS 2023
Daragh Byrne · Carnegie Mellon University · funded by National Science Foundation
2023–2028 · grant · Continuing Grant
CAREER: Exploiting Deep Generative Models for Visual Recognition
Jun-Yan Zhu · Carnegie Mellon University · funded by National Science Foundation
2023–2027 · grant · Continuing Grant
Collaborative Research: CSR: Medium: Adaptive Environmental Awareness for Collaborative Augmented Reality
Carlee Joe-Wong · Carnegie Mellon University · funded by National Science Foundation
2023–2026 · grant · Standard Grant
Mean-Field and Singular Limits of Deterministic and Stochastic Interacting Particle Systems
Matthew Rosenzweig · Carnegie Mellon University · funded by National Science Foundation
2023–2026 · grant · Continuing Grant
NSF-SSRC: An Intention-Action Framework for Improving the Impact of Public Health Initiatives
Silvia Saccardo · Carnegie Mellon University · funded by National Science Foundation
2023–2025 · fellowship · F32
Mechanisms of auditory selective attention for speech and non-speech stimuli
Sahil Luthra · Carnegie Mellon University · funded by National Institutes of Health
2023–2025 · grant · Standard Grant
Conference: Training the US Computational Linguistics Team
Lorraine Levin · Carnegie Mellon University · funded by National Science Foundation
2023–2024 · grant · Standard Grant
Biocompatible Flexible Microfabricated Sensors for Surgical Applications
Maysamreza Chamanzar · Carnegie Mellon University · funded by National Science Foundation
2023 · training · Postgraduate Scholarships - Doctoral
Better natural language understanding in language models through cognitively-inspired task learning
Meng Yan M Liu · Carnegie Mellon University · funded by Natural Sciences and Engineering Research Council of Canada
2023–2027 · grant · Standard Grant
Collaborative Research: FMitF: Track I: Designing Safe and Robust Human-machine Interactions with Fuzzy Mental Models
Eunsuk Kang · Carnegie Mellon University · funded by National Science Foundation
2023–2028 · research · R90
Interdisciplinary Training in Computational Neuroscience
Steven M Chase · Carnegie Mellon University · funded by National Institutes of Health
2023 · training · Postdoctoral Fellowships
Effective Handling of Conflict Depression Phases in CDCL SAT with Deep Neural Networks
Md Solimul Msc Chowdhury · Carnegie Mellon University · funded by Natural Sciences and Engineering Research Council of Canada
2023–2026 · grant · Standard Grant
Collaborative Research: A Comprehensive Theoretical Study of Cosmological Magnetic Fields and Turbulence: from the Early to Late Time Universe
Tina Kahniashvili · Carnegie Mellon University · funded by National Science Foundation
2023–2026 · grant · Standard Grant
Feature selection in several challenging directions
Jiashun Jin · Carnegie Mellon University · funded by National Science Foundation