The Magic Carpet: Physical Sensing for Immersive Environments. - Joseph A. Paradiso; Craig Abler; Kai-yuh Hsiao; Matthew Reynolds (CHI Extended Abstracts, 1997)

Intrabody Buses for Data and Power. - Rehmi Post; Matthew Reynolds; Matthew Gray; Joseph A. Paradiso; Neil Gershenfeld (ISWC, 1997)

An immersive, multi-user, musical stage environment. - Matthew Reynolds; Bernd Schöner; Joey Richards; Kelly Dobson; Neil Gershenfeld (SIGGRAPH, 2001)

Origami Desk: integrating technological innovation and human-centric design. - Wendy Ju; Leonardo Bonanni; Richard Ribón Fletcher; Rebecca Hurwitz; Tilke Judd; Rehmi Post; Matthew Reynolds; Jennifer Yoon (Symposium on Designing Interactive Systems, 2002)

TViews: An Extensible Architecture for Multiuser Digital Media Tables. - Ali Mazalek; Matthew Reynolds; Glorianna Davenport (IEEE Computer Graphics and Applications, 2006)

The TViews Table in the Home. - Ali Mazalek; Matthew Reynolds; Glorianna Davenport (Tabletop, 2007)

PowerPACK: A wireless power distribution system for wearable devices. - Travis Deyle; Matthew Reynolds (ISWC, 2008)

RF vision: RFID receive signal strength indicator (RSSI) images for sensor fusion and mobile manipulation. - Travis Deyle; Hai Nguyen 003; Matthew Reynolds; Charles C. Kemp (IROS, 2009)

RFID-Guided Robots for Pervasive Automation. - Travis Deyle; Hai Nguyen 003; Matthew Reynolds; Charles C. Kemp (IEEE Pervasive Comput., 2010)

A new inversion method for NMR signal processing. - Can Evren Yarman; Lucas Monzón; Matthew Reynolds; Nick Heaton (CAMSAP, 2013)

Twin Talk: Bukvik+LitTerra+Colabo.Space - An Example of the DH Collaboration Across Disciplines, Languages, and Style. - Sasha Mile Rudan; Eugenia Kelbert; Lazar Kovacevic; Sinisa Rudan; Matthew Reynolds (TwinTalks@DH/DHN, 2020)

Scalable Transmission Expansion Under Uncertainty Using Three-stage Stochastic Optimization. - Devon Sigler; Jonathan Maack; Ignas Satkauskas; Matthew Reynolds; Wesley B. Jones (ISGT, 2020)

Colabo.Space - Participatory Platform for Evolving Research and Publishing Workflows. - Sasha Mile Rudan; Sinisha Rudan; Eugenia Kelbert; Andrija Sagic; Lazar Kovacevic; Matthew Reynolds (TPDL, 2021)

Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration. - Xiangyu Zhang 010; Abinet Tesfaye Eseye; Bernard Knueven; Weijia Liu; Matthew Reynolds; Wesley B. Jones (CoRR, 2022)

Iterative Stability Enforcement in Adaptive Antoulas-Anderson Algorithms for ({ boldsymbol{ mathcal{H}_2}} ) Model Reduction. - Lisa Davis; William Johns; Lucas Monzón; Matthew Reynolds (SIAM J. Sci. Comput., 2023)

Novel approach to PV inverter modeling and simulation leveraging experiments, learning based modeling and co-simulation. - Salma Bennai; Kumaraguru Prabakar; Yaswanth Nag Velaga; Subhankar Ganguly; Deepthi Vaidhynathan; Matthew Reynolds; Karthkeyan Balasubramaniam (IECON, 2024)

EMT-TS Hybrid Simulation for Large Power Grids Considering IBR-Driven Dynamics. - Min Xiong; Bin Wang; Deepthi Vaidhynathan; Jonathan Maack; Yuan Liu 023; Shrirang Abhyankar; Bruce Palmer; Rodrigo Henriquez-Auba; Andy Hoke; Kai Sun; Vijay Vittal; Mahsa Sajjadi; et al. (IECON, 2024)

Advanced Computing is at the Forefront of a New "Moonshot" Revolutionizing the North American Power Grid. - Christopher S. Oehmen; Slaven Peles; Katarzyna Swirydowicz; Cosmin G. Petra; Shrirang Abhyankar; Wesley B. Jones; Matthew Reynolds; Cameron Rutherford (Comput. Sci. Eng., 2024)

High-Throughput Plot-Level Quantitative Phenotyping Using Convolutional Neural Networks on Very High-Resolution Satellite Images. - Brandon Victor; Aiden Nibali; Saul Justin Newman; Tristan Coram; Francisco Pinto; Matthew Reynolds; Robert Furbank; Zhen He 002 (Remote. Sens., 2024)