A multi-axis MEMS force-torque sensor for measuring the load on a microrobot actuated by magnetic fields. - Felix Beyeler; Simon Muntwyler; Zoltán Nagy 002; Mathias Franz Karl Moser; Bradley J. Nelson (IROS, 2007)

Robotics in the Small, Part I: Microbotics. - Jake J. Abbott; Zoltán Nagy 002; Felix Beyeler; Bradley J. Nelson (IEEE Robotics Autom. Mag., 2007)

Modeling assembled-MEMS microrobots for wireless magnetic control. - Zoltán Nagy 002; Olgaç Ergeneman; Jake J. Abbott; Marco Hutter 001; Ann M. Hirt; Bradley J. Nelson (ICRA, 2008)

Experimental investigation of magnetic self-assembly for swallowable modular robots. - Zoltán Nagy 002; Raymond Oung; Jake J. Abbott; Bradley J. Nelson (IROS, 2008)

A wireless acoustic emitter for passive localization in liquids. - Zoltán Nagy 002; Michael Flückiger; Olgaç Ergeneman; Salvador Pané; Martin Probst; Bradley J. Nelson (ICRA, 2009)

Morphology detection for magnetically self-assembled modular robots. - Zoltán Nagy 002; Shuhei Miyashita; Simon Muntwyler; Ashish K. Cherukuri; Jake J. Abbott; Rolf Pfeifer; Bradley J. Nelson (IROS, 2009)

The Influence of Shape on Parallel Self-Assembly. - Shuhei Miyashita; Zoltán Nagy 002; Bradley J. Nelson; Rolf Pfeifer (Entropy, 2009)

Manufacturing of a Hybrid Acoustic Transmitter Using an Advanced Microassembly System. - Martin Probst; Michael Flückiger; Salvador Pané; Olgaç Ergeneman; Zoltán Nagy 002; Bradley J. Nelson (IEEE Trans. Ind. Electron., 2009)

Modeling and analysis of wireless resonant magnetic microactuators. - Zoltán Nagy 002; Dominic R. Frutiger; Remco I. Leine; Christoph Glocker; Bradley J. Nelson (ICRA, 2010)

Sustainable architecture and human comfort through adaptive distributed systems. - Zoltán Nagy 002; Dino Rossi; Arno Schlueter (PerCom Workshops, 2012)

Modeling the Motion of Microrobots on Surfaces Using Nonsmooth Multibody Dynamics. - Zoltán Nagy 002; Remco I. Leine; Dominic R. Frutiger; Christoph Glocker; Bradley J. Nelson (IEEE Trans. Robotics, 2012)

Lagrangian Modeling of the Magnetization and the Magnetic Torque on Assembled Soft-Magnetic MEMS Devices for Fast Computation and Analysis. - Zoltán Nagy 002; Bradley J. Nelson (IEEE Trans. Robotics, 2012)

Self-Organized Translational Wheeling Motion in Stochastic Self-Assembling Modules. - Shuhei Miyashita; Kohei Nakajima; Zoltán Nagy 002; Rolf Pfeifer (Artif. Life, 2013)

SoRo-Track: A two-axis soft robotic platform for solar tracking and building-integrated photovoltaic applications. - Bratislav Svetozarevic; Zoltán Nagy 002; Johannes Hofer; Dominic Jacob; Moritz Begle; Eleni N. Chatzi; Arno Schlueter (ICRA, 2016)

Investigating occupancy profiles using convolutional neural networks. - June Young Park; Jianli Chen; Xin Jin 016; Zoltán Nagy 002 (BuildSys, 2019)

Good to see you again: Capture and recapture method on mobile devices to estimate occupancy profiles. - June Young Park; Edward Mbata; Zoltán Nagy 002 (BuildSys, 2019)

CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning. - José R. Vázquez-Canteli; Jérôme Henri Kämpf; Gregor Henze; Zoltán Nagy 002 (BuildSys, 2019)

HVACLearn: A reinforcement learning based occupant-centric control for thermostat set-points. - June Young Park; Zoltán Nagy 002 (e-Energy, 2020)

Viability of a Dense, Low-Cost Particulate Matter Sensor Network. - Hagen Fritz; Calvin Lin; Zoltán Nagy 002 (BuildSys, 2020)

Ecologically Valid Multimodal Data Collection. - Hagen Fritz; Zoltán Nagy 002 (BuildSys, 2020)

Impact of COVID-19 on Academic Campus Energy Use. - Kingsley Nweye; Zoltán Nagy 002 (BuildSys, 2020)

HVAC Scheduling based on Wi-Fi derived Occupancy. - Kingsley Nweye; Zoltán Nagy 002 (BuildSys, 2020)

MARLISA: Multi-Agent Reinforcement Learning with Iterative Sequential Action Selection for Load Shaping of Grid-Interactive Connected Buildings. - José R. Vázquez-Canteli; Gregor Henze; Zoltán Nagy 002 (BuildSys, 2020)

The CityLearn Challenge 2020. - José R. Vázquez-Canteli; Sourav Dey; Gregor Henze; Zoltán Nagy 002 (BuildSys, 2020)

The ASHRAE Great Energy Predictor III competition: Overview and results. - Clayton Miller; Pandarasamy Arjunan; Anjukan Kathirgamanathan; Chun Fu; Jonathan Roth; June Young Park; Chris Balbach; Krishnan Gowri; Zoltán Nagy 002; Anthony Fontanini; Jeff Haberl (CoRR, 2020)

Multi-Modal Data Collection for Measuring Health, Behavior, and Living Environment of Large-Scale Participant Cohorts: Conceptual Framework and Findings from Deployments. - Congyu Wu; Hagen Fritz; Zoltán Nagy 002; Juan P. Maestre; Edison Thomaz; Christine Julien 001; Darla M. Castelli; Kaya de Barbaro; Gabriella M. Harari; R. Cameron Craddock; Kerry A. Kinney; Samuel D. Gosling; et al. (CoRR, 2020)

CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management. - José R. Vázquez-Canteli; Sourav Dey; Gregor Henze; Zoltán Nagy 002 (CoRR, 2020)

The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. - Kingsley Nweye; Zoltán Nagy 002; Sharada P. Mohanty; Dipam Chakraborty; Siva Sankaranarayanan; Tianzhen Hong; Sourav Dey; Gregor Henze; Ján Drgona; Fangquan Lin; Wei Jiang 027; Hanwei Zhang 002; et al. (NeurIPS (Competition and Demos), 2021)

The second ACM SIGEnergy workshop on reinforcement learning for energy management in buildings & cities (RLEM). - Zoltán Nagy 002; June Young Park; Ján Drgona; Matias Quintana (BuildSys, 2021)

The citylearn challenge 2021. - Zoltán Nagy 002; José R. Vázquez-Canteli; Sourav Dey; Gregor Henze (BuildSys, 2021)

Comparison of machine learning methods to predict sleep quality from daytime activity and nightly bedroom environmental conditions. - Hagen Fritz; Congyu Wu; Kerry A. Kinney; Zoltán Nagy 002 (BuildSys, 2021)

GridLearn: Multiagent Reinforcement Learning for Grid-Aware Building Energy Management. - Aisling Pigott; Constance Crozier; Kyri Baker; Zoltán Nagy 002 (CoRR, 2021)

MARTINI: Smart Meter Driven Estimation of HVAC Schedules and Energy Savings Based on WiFi Sensing and Clustering. - Kingsley Nweye; Zoltán Nagy 002 (CoRR, 2021)

Real-world challenges for reinforcement learning in building control. - Zoltán Nagy 002; Kingsley Nweye (CoRR, 2021)

Offline training of multi-agent reinforcement agents for grid-interactive buildings control. - Kingsley Nweye; Zoltán Nagy 002; Bo Liu 042; Peter Stone 001 (e-Energy, 2022)

On the use of conditional TimeGAN to enhance the robustness of a reinforcement learning agent in the building domain. - Marta Fochesato; Fazel Khayatian; Doris Fonseca Lima; Zoltán Nagy 002 (BuildSys, 2022)

ComfortLearn: enabling agent-based occupant-centric building controls. - Matias Quintana; Zoltán Nagy 002; Federico Tartarini; Stefano Schiavon; Clayton Miller (BuildSys, 2022)

IMPACT: Integrated Multi-Domain Emission Pathways For Cities Under Land-Use Policy, Technology Adoption, Climate Change And Grid Decarbonization. - Zoltán Nagy 002; Juliana Felkner; Ariane L. Beck; D. Cale Reeves; Steven Richter; Vivek Shastry; Eli Ramthun; Edward Mbata; Stephen Zigmund; Benjamin Marshall; Linnea Marks; Vianey Rueda; et al. (CoRR, 2022)

Data-Driven Key Performance Indicators and Datasets for Building Energy Flexibility: A Review and Perspectives. - Han Li 013; Hicham Johra; Flavia de Andrade Pereira; Tianzhen Hong; Jérôme Le Dreau; Anthony Maturo; Mingjun Wei; Yapan Liu; Ali Saberi-Derakhtenjani; Zoltán Nagy 002; Anna Marszal-Pomianowska; Donal Finn; et al. (CoRR, 2022)

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. - Truong X. Nghiem; Ján Drgona; Colin N. Jones; Zoltán Nagy 002; Roland Schwan; Biswadip Dey; Ankush Chakrabarty; Stefano Di Cairano; Joel A. Paulson; Andrea Carron; Melanie N. Zeilinger; Wenceslao Shaw-Cortez; et al. (ACC, 2023)

SCALEX: SCALability EXploration of Multi-Agent Reinforcement Learning Agents in Grid-Interactive Efficient Buildings. - Yara Almilaify; Kingsley Nweye; Zoltán Nagy 002 (BuildSys, 2023)

A Comparison of Different Deep Learning Model Architectures and Training Strategy for Urban Energy Modeling. - Ting-Yu Dai; Aysegül Demir Dilsiz; Dev Niyogi; Zoltán Nagy 002 (BuildSys, 2023)

UTwin: A digital twin of the UT Austin campus. - Calvin Lin; Ting-Yu Dai; Aysegül Demir Dilsiz; Drury Crawley; Dev Niyogi; Zoltán Nagy 002 (BuildSys, 2023)

CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities. - Kingsley Nweye; Kathryn Kaspar; Giacomo Buscemi; Giuseppe Pinto; Han Li 013; Tianzhen Hong; Mohamed Ouf; Alfonso Capozzoli; Zoltán Nagy 002 (BuildSys, 2023)

Heterogeneous Multi-Agent Reinforcement Learning for Grid-Interactive Communities. - Allen Wu; Kingsley Nweye; Zoltán Nagy 002 (BuildSys, 2023)

MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn. - Kingsley Nweye; Siva Sankaranarayanan; Zoltán Nagy 002 (CoRR, 2023)

Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation. - Chun Fu; Matias Quintana; Zoltán Nagy 002; Clayton Miller (CoRR, 2023)

CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling. - Ting-Yu Dai; Dev Niyogi; Zoltán Nagy 002 (CoRR, 2023)

CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities. - Kingsley Nweye; Kathryn Kaspar; Giacomo Buscemi; Tiago Fonseca; Giuseppe Pinto; Dipanjan Ghose; Satvik Duddukuru; Pavani Pratapa; Han Li 013; Javad Mohammadi; Luis Lino Ferreira; Tianzhen Hong; et al. (CoRR, 2024)

Applications in CityLearn Gym Environment for Multi-Objective Control Benchmarking in Grid-Interactive Buildings and Districts. - Kingsley Nweye; Zoltán Nagy 002 (CoRR, 2024)

The CityLearn Challenge: Four Years of Advancing Common Task Frameworks for Energy Management in Smart Buildings. - Zoltán Nagy 002; Kingsley Nweye (e-Energy, 2025)

EVLearn: extending the cityLearn framework with electric vehicle simulation. - Tiago Fonseca; Luis Lino Ferreira; Bernardo Cabral; Ricardo Severino; Kingsley Nweye; Dipanjan Ghose; Zoltán Nagy 002 (Energy Inform., 2025)