Matthew Stewart

Harvard University — United States

Earth and Planetary Sciences · Physical Sciences

10h-index410citations58works6.72yr avg
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Research Topics

Atmospheric chemistry and aerosols(7), Air Quality Monitoring and Forecasting(6), IoT and Edge/Fog Computing(4), Context-Aware Activity Recognition Systems(4), Advanced Chemical Sensor Technologies(3)

Publications58 total

Algorithmic Contestability Cases Database
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Algorithmic Contestability Cases Database
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Comparative Analysis of Automated Rules-Based Scoring Versus Human Scoring of Sleep Apnea
2025
Materiality and risk in the age of pervasive AI sensors
Nature Machine Intelligence·2025· 4 cited
A2Perf: Real-World Autonomous Agents Benchmark
ArXiv.org·2025Open Access
The neurobench framework for benchmarking neuromorphic computing algorithms and systems
Nature Communications·2025· 51 citedOpen Access
Classification of Central and Obstructive Sleep Apnea Using Respiratory Inductance Plethysmography and Convolutional Neural Networks
2024
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance
2024· 15 cited
Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications
arXiv (Cornell University)·2024· 4 citedOpen Access
Materiality and Risk in the Age of Pervasive AI Sensors
arXiv (Cornell University)·2024Open Access
AI in the developing world: how ‘tiny machine learning’ can have a big impact
2024Open Access
Is TinyML Sustainable?
Communications of the ACM·2023· 25 cited
Machine Learning Sensors
Communications of the ACM·2023· 13 cited
Prediction of the Response of a Photoionization Detector to a Complex Gaseous Mixture of Volatile Organic Compounds Produced by α-Pinene Oxidation
ACS Earth and Space Chemistry·2023· 4 citedOpen Access
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance
arXiv (Cornell University)·2023Open Access
Decision Fusion in Automated Sleep Apnea Classification Using Multple Polysomnography Sensors and Convolutional Neural Networks
2023· 2 cited
Datasheets for Machine Learning Sensors
arXiv (Cornell University)·2023· 2 citedOpen Access
Machine Learning for Ionization Potentials and Photoionization Cross Sections of Volatile Organic Compounds
ACS Earth and Space Chemistry·2023· 9 citedOpen Access
Towards autonomous cross-pollination: Portable multi-classification system for in situ growth monitoring of tomato flowers
Smart Agricultural Technology·2023· 4 citedOpen Access
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers
arXiv (Cornell University)·2023· 5 citedOpen Access
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Frequent Co-authors

Vijay Janapa Reddi(13), Brian Plancher(11), Pete Warden(9), Scot T. Martin(8), Jianhuai Ye(6), Chayakrit Krittanawong(5), Colby Banbury(5), Shvetank Prakash(4), Carla E. Batista(4), Tianning Zhao(4), Yongjing Ma(4), Jordi Vilà-Guerau De Arellano(4), Hafeez Ul Hassan Virk(3), Mehmet Aydar(3), Jonathan L. Halperin(3), Paul E. Ohno(3), K. A. McKinney(3), Mark Mazumder(3), Jason Jabbour(3), Patrícia C. Guimarães(3)