Quantification of Human Performance in Extreme Environments. - Corinna E. Lathan; Dava J. Newman (HCI (2), 1997)

Memory processes and motor control in extreme environments. - Dava J. Newman; Corinna E. Lathan (IEEE Trans. Syst. Man Cybern. Part C, 1999)

Multifactorial movement analysis in weightlessness: a ground-based feasibility study. - Guido Baroni; Camilla Rigotti; Amir R. Amir; Giancarlo Ferrigno; Dava J. Newman; Antonio Pedotti (IEEE Trans. Instrum. Meas., 2000)

Extracting The Essence Of Flexibility In System Design. - Joseph H. Saleh; Daniel E. Hastings; Dava J. Newman (Evolvable Hardware, 2001)

Measuring astronaut performance on the ISS: advanced kinematic and kinetic instrumentation. - Amir R. Amir; Guido Baroni; Alessandra Pedrocchi; Dava J. Newman; Giancarlo Ferrigno; Antonio Pedotti (IEEE Trans. Instrum. Meas., 2001)

The Extravehicular Mobility Unit: Case Study in Requirements Evolution. - Nicole C. Jordan; Joseph H. Saleh; Dava J. Newman (RE, 2005)

Application of quantized control to human self-rotation maneuvers in microgravity. - Leia A. Stirling 001; Alessandro Arsie; Emilio Frazzoli; Karen Willcox; Dava J. Newman (CDC, 2007)

Dynamic Understanding of Human-Skin Movement and Strain-Field Analysis. - Ashley M. Wessendorf; Dava J. Newman (IEEE Trans. Biomed. Eng., 2012)

Physics-informed GANs for Coastal Flood Visualization. - Björn Lütjens; Brandon Leshchinskiy; Christian Requena-Mesa; Farrukh Chishtie; Natalia Díaz Rodríguez; Océane Boulais; Aaron Piña; Dava J. Newman; Alexander Lavin; Yarin Gal; Chedy Raïssi (CoRR, 2020)

Technology Readiness Levels for Machine Learning Systems. - Alexander Lavin; Ciarán M. Gilligan-Lee; Alessya Visnjic; Siddha Ganju; Dava J. Newman; Sujoy Ganguly; Danny Lange; Atilim Günes Baydin; Amit Sharma 007; Adam Gibson; Yarin Gal; Eric P. Xing; et al. (CoRR, 2021)

Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization. - Björn Lütjens; Brandon Leshchinskiy; Christian Requena-Mesa; Farrukh Chishtie; Natalia Díaz Rodríguez; Océane Boulais; Aruna Sankaranarayanan; Aaron Piña; Yarin Gal; Chedy Raïssi; Alexander Lavin; Dava J. Newman (CoRR, 2021)

PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling. - Björn Lütjens; Catherine H. Crawford; Mark Veillette; Dava J. Newman (CoRR, 2021)

WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data. - Rupa Kurinchi-Vendhan; Björn Lütjens; Ritwik Gupta; Lucien Werner; Dava J. Newman (CoRR, 2021)

When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI. - Ziv Epstein; Hope Schroeder; Dava J. Newman (ICCC, 2022)

Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers. - Björn Lütjens; Catherine H. Crawford; Campbell D. Watson; Christopher Hill; Dava J. Newman (CoRR, 2022)

GEO-Bench: Toward Foundation Models for Earth Monitoring. - Alexandre Lacoste; Nils Lehmann; Pau Rodríguez; Evan D. Sherwin; Hannah Kerner; Björn Lütjens; Jeremy Irvin; David Dao; Hamed Alemohammad; Alexandre Drouin; Mehmet Gunturkun; Gabriel Huang; et al. (NeurIPS, 2023)

Generating Physically-Consistent Satellite Imagery for Climate Visualizations. - Björn Lütjens; Brandon Leshchinskiy; Océane Boulais; Farrukh Chishtie; Natalia Díaz Rodríguez; Margaux Masson-Forsythe; Ana Mata-Payerro; Christian Requena-Mesa; Aruna Sankaranarayanan; Aaron Piña; Yarin Gal; Chedy Raïssi; et al. (IEEE Trans. Geosci. Remote. Sens., 2024)

Perspective-Aware AI in Extended Reality. - Daniel Platnick; Matti Gruener; Marjan Alirezaie; Kent Larson; Dava J. Newman; Hossein Rahnama (CoRR, 2025)