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ORCIDZoltán Nagy 0002
Person information
- affiliation: University of Texas at Austin, TX, USA
- affiliation (PhD 2011): ETH Zurich, Switzerland
Other persons with the same name
- Zoltán Nagy — disambiguation page
- Zoltán Nagy 0001
![[0000-0002-0992-7123]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0992-7123")
— Hungarian Academy of Sciences, Institute for Computer Science and Control, Budapest, Hungary (and 2 more) - Zoltán Nagy 0003 — University of Zurich, Switzerland (and 2 more)
- Zoltán Nagy 0004 — Sommelweiss University, Budapest, Hungary
- Zoltán Nagy 0005 — Dresden University of Technology, Germany
- Zoltán Nagy 0006 — Technical University of Cluj-Napoca, Department of Automation, Romania
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Journal Articles
- 2013
[j6]Shuhei Miyashita, Kohei Nakajima, Zoltán Nagy, Rolf Pfeifer:
Self-Organized Translational Wheeling Motion in Stochastic Self-Assembling Modules. Artif. Life 19(1): 79-95 (2013)- 2012
- [j5]Zoltán Nagy, Bradley J. Nelson:
Lagrangian Modeling of the Magnetization and the Magnetic Torque on Assembled Soft-Magnetic MEMS Devices for Fast Computation and Analysis. IEEE Trans. Robotics 28(4): 787-797 (2012) - [j4]Zoltán Nagy, Remco I. Leine, Dominic R. Frutiger, Christoph Glocker, Bradley J. Nelson:
Modeling the Motion of Microrobots on Surfaces Using Nonsmooth Multibody Dynamics. IEEE Trans. Robotics 28(5): 1058-1068 (2012) - 2009
- [j3]Shuhei Miyashita, Zoltán Nagy, Bradley J. Nelson, Rolf Pfeifer:
The Influence of Shape on Parallel Self-Assembly. Entropy 11(4): 643-666 (2009) - [j2]Martin Probst, Michael Flückiger, Salvador Pané, Olgaç Ergeneman, Zoltán Nagy, Bradley J. Nelson:
Manufacturing of a Hybrid Acoustic Transmitter Using an Advanced Microassembly System. IEEE Trans. Ind. Electron. 56(7): 2657-2666 (2009) - 2007
- [j1]Jake J. Abbott, Zoltán Nagy, Felix Beyeler, Bradley J. Nelson:
Robotics in the Small, Part I: Microbotics. IEEE Robotics Autom. Mag. 14(2): 92-103 (2007)
Conference and Workshop Papers
- 2023
- [c31]Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie:
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. ACC 2023: 3735-3750 - [c30]Yara Almilaify, Kingsley Nweye, Zoltán Nagy:
SCALEX: SCALability EXploration of Multi-Agent Reinforcement Learning Agents in Grid-Interactive Efficient Buildings. BuildSys@SenSys 2023: 261-264 - [c29]Kingsley Nweye, Kathryn Kaspar, Giacomo Buscemi, Giuseppe Pinto, Han Li, Tianzhen Hong, Mohamed Ouf, Alfonso Capozzoli, Zoltán Nagy:
CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities. BuildSys@SenSys 2023: 274-275 - [c28]Calvin Lin, Ting-Yu Dai, Aysegül Demir Dilsiz, Drury Crawley, Dev Niyogi, Zoltán Nagy:
UTwin: A digital twin of the UT Austin campus. BuildSys@SenSys 2023: 282-283 - [c27]Allen Wu, Kingsley Nweye, Zoltán Nagy:
Heterogeneous Multi-Agent Reinforcement Learning for Grid-Interactive Communities. BuildSys@SenSys 2023: 314-315 - [c26]Ting-Yu Dai, Aysegül Demir Dilsiz, Dev Niyogi, Zoltán Nagy:
A Comparison of Different Deep Learning Model Architectures and Training Strategy for Urban Energy Modeling. BuildSys@SenSys 2023: 316-317 - 2022
- [c25]Kingsley Nweye, Zoltán Nagy, Bo Liu, Peter Stone:
Offline training of multi-agent reinforcement agents for grid-interactive buildings control. e-Energy 2022: 442-443 - [c24]Marta Fochesato, Fazel Khayatian, Doris Fonseca Lima, Zoltán Nagy:
On the use of conditional TimeGAN to enhance the robustness of a reinforcement learning agent in the building domain. BuildSys@SenSys 2022: 208-217 - [c23]Matias Quintana, Zoltán Nagy, Federico Tartarini, Stefano Schiavon, Clayton Miller:
ComfortLearn: enabling agent-based occupant-centric building controls. BuildSys@SenSys 2022: 475-478 - 2021
- [c22]Kingsley Nweye, Zoltán Nagy, Sharada P. Mohanty, Dipam Chakraborty, Siva Sankaranarayanan, Tianzhen Hong, Sourav Dey, Gregor Henze, Ján Drgona, Fangquan Lin, Wei Jiang, Hanwei Zhang, Zhongkai Yi, Jihai Zhang, Cheng Yang, Matthew Motoki, Sorapong Khongnawang, Michael Ibrahim, Abilmansur Zhumabekov, Daniel May, Zhihu Yang, Xiaozhuang Song, Han Zhang, Xiaoning Dong, Shun Zheng, Jiang Bian:
The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) 2021: 85-103 - [c21]Zoltán Nagy, José R. Vázquez-Canteli, Sourav Dey, Gregor Henze:
The citylearn challenge 2021. BuildSys@SenSys 2021: 218-219 - [c20]Hagen Fritz, Congyu Wu, Kerry A. Kinney, Zoltán Nagy:
Comparison of machine learning methods to predict sleep quality from daytime activity and nightly bedroom environmental conditions. BuildSys@SenSys 2021: 222-223 - [c19]Zoltán Nagy, June Young Park, Ján Drgona, Matias Quintana:
The second ACM SIGEnergy workshop on reinforcement learning for energy management in buildings & cities (RLEM). BuildSys@SenSys 2021: 307-308 - 2020
- [c18]June Young Park, Zoltán Nagy:
HVACLearn: A reinforcement learning based occupant-centric control for thermostat set-points. e-Energy 2020: 434-437 - [c17]José R. Vázquez-Canteli, Gregor Henze, Zoltán Nagy:
MARLISA: Multi-Agent Reinforcement Learning with Iterative Sequential Action Selection for Load Shaping of Grid-Interactive Connected Buildings. BuildSys@SenSys 2020: 170-179 - [c16]Hagen Fritz, Calvin Lin, Zoltán Nagy:
Viability of a Dense, Low-Cost Particulate Matter Sensor Network. BuildSys@SenSys 2020: 316-317 - [c15]José R. Vázquez-Canteli, Sourav Dey, Gregor Henze, Zoltán Nagy:
The CityLearn Challenge 2020. BuildSys@SenSys 2020: 320-321 - [c14]Kingsley Nweye, Zoltán Nagy:
Impact of COVID-19 on Academic Campus Energy Use. BuildSys@SenSys 2020: 322-323 - [c13]Hagen Fritz, Zoltán Nagy:
Ecologically Valid Multimodal Data Collection. BuildSys@SenSys 2020: 326-327 - [c12]Kingsley Nweye, Zoltán Nagy:
HVAC Scheduling based on Wi-Fi derived Occupancy. BuildSys@SenSys 2020: 340-341 - 2019
- [c11]June Young Park, Edward Mbata, Zoltán Nagy:
Good to see you again: Capture and recapture method on mobile devices to estimate occupancy profiles. BuildSys@SenSys 2019: 145-148 - [c10]June Young Park, Jianli Chen, Xin Jin, Zoltán Nagy:
Investigating occupancy profiles using convolutional neural networks. BuildSys@SenSys 2019: 338-339 - [c9]José R. Vázquez-Canteli, Jérôme Henri Kämpf, Gregor Henze, Zoltán Nagy:
CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning. BuildSys@SenSys 2019: 356-357 - 2016
- [c8]Bratislav Svetozarevic, Zoltán Nagy, Johannes Hofer, Dominic Jacob, Moritz Begle, Eleni N. Chatzi, Arno Schlueter:
SoRo-Track: A two-axis soft robotic platform for solar tracking and building-integrated photovoltaic applications. ICRA 2016: 4945-4950 - 2012
- [c7]Zoltán Nagy, Dino Rossi, Arno Schlueter:
Sustainable architecture and human comfort through adaptive distributed systems. PerCom Workshops 2012: 403-406 - 2010
- [c6]Zoltán Nagy, Dominic R. Frutiger, Remco I. Leine, Christoph Glocker, Bradley J. Nelson:
Modeling and analysis of wireless resonant magnetic microactuators. ICRA 2010: 1598-1603 - 2009
- [c5]Zoltán Nagy, Michael Flückiger, Olgaç Ergeneman, Salvador Pané, Martin Probst, Bradley J. Nelson:
A wireless acoustic emitter for passive localization in liquids. ICRA 2009: 2593-2598 - [c4]Zoltán Nagy, Shuhei Miyashita, Simon Muntwyler, Ashish K. Cherukuri, Jake J. Abbott, Rolf Pfeifer, Bradley J. Nelson:
Morphology detection for magnetically self-assembled modular robots. IROS 2009: 5281-5286 - 2008
- [c3]Zoltán Nagy, Olgaç Ergeneman, Jake J. Abbott, Marco Hutter, Ann M. Hirt, Bradley J. Nelson:
Modeling assembled-MEMS microrobots for wireless magnetic control. ICRA 2008: 874-879 - [c2]Zoltán Nagy, Raymond Oung, Jake J. Abbott, Bradley J. Nelson:
Experimental investigation of magnetic self-assembly for swallowable modular robots. IROS 2008: 1915-1920 - 2007
- [c1]Felix Beyeler, Simon Muntwyler, Zoltán Nagy, Mathias Franz Karl Moser, Bradley J. Nelson:
A multi-axis MEMS force-torque sensor for measuring the load on a microrobot actuated by magnetic fields. IROS 2007: 3803-3808
Editorship
- 2021
- [e1]Xiaofan Fred Jiang, Omprakash Gnawali, Zoltán Nagy:
BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17 - 18, 2021. ACM 2021, ISBN 978-1-4503-9114-6 [contents]
Informal and Other Publications
- 2024
- [i14]Tiago Fonseca, Luis Lino Ferreira, Bernardo Cabral, Ricardo Severino, Kingsley Nweye, Dipanjan Ghose, Zoltán Nagy:
EVLearn: Extending the CityLearn Framework with Electric Vehicle Simulation. CoRR abs/2404.06521 (2024) - [i13]Kingsley Nweye, Kathryn Kaspar, Giacomo Buscemi, Tiago Fonseca, Giuseppe Pinto, Dipanjan Ghose, Satvik Duddukuru, Pavani Pratapa, Han Li, Javad Mohammadi, Luis Lino Ferreira, Tianzhen Hong, Mohamed Ouf, Alfonso Capozzoli, Zoltán Nagy:
CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities. CoRR abs/2405.03848 (2024) - 2023
- [i12]Kingsley Nweye, Siva Sankaranarayanan, Zoltán Nagy:
MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn. CoRR abs/2301.01148 (2023) - [i11]Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie:
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. CoRR abs/2306.13867 (2023) - [i10]Chun Fu, Matias Quintana, Zoltán Nagy, Clayton Miller:
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation. CoRR abs/2307.05926 (2023) - [i9]Ting-Yu Dai, Dev Niyogi, Zoltán Nagy:
CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling. CoRR abs/2312.02375 (2023) - 2022
- [i8]Zoltán Nagy, Juliana Felkner, Ariane L. Beck, D. Cale Reeves, Steven Richter, Vivek Shastry, Eli Ramthun, Edward Mbata, Stephen Zigmund, Benjamin Marshall, Linnea Marks, Vianey Rueda, Jasmine Triplett, Sarah Domedead, José R. Vázquez-Canteli, Varun Rai:
IMPACT: Integrated Multi-Domain Emission Pathways For Cities Under Land-Use Policy, Technology Adoption, Climate Change And Grid Decarbonization. CoRR abs/2202.07458 (2022) - [i7]Han Li, Hicham Johra, Flavia de Andrade Pereira, Tianzhen Hong, Jérôme Le Dreau, Anthony Maturo, Mingjun Wei, Yapan Liu, Ali Saberi-Derakhtenjani, Zoltán Nagy, Anna Marszal-Pomianowska, Donal Finn, Shohei Miyata, Kathryn Kaspar, Kingsley Nweye, Zheng O. Neill, Fabiano Pallonetto, Bing Dong:
Data-Driven Key Performance Indicators and Datasets for Building Energy Flexibility: A Review and Perspectives. CoRR abs/2211.12252 (2022) - 2021
- [i6]Aisling Pigott, Constance Crozier, Kyri Baker, Zoltán Nagy:
GridLearn: Multiagent Reinforcement Learning for Grid-Aware Building Energy Management. CoRR abs/2110.06396 (2021) - [i5]Kingsley Nweye, Zoltán Nagy:
MARTINI: Smart Meter Driven Estimation of HVAC Schedules and Energy Savings Based on WiFi Sensing and Clustering. CoRR abs/2110.08927 (2021) - [i4]Zoltán Nagy, Kingsley Nweye:
Real-world challenges for reinforcement learning in building control. CoRR abs/2112.06127 (2021) - 2020
- [i3]Clayton Miller, Pandarasamy Arjunan, Anjukan Kathirgamanathan, Chun Fu, Jonathan Roth, June Young Park, Chris Balbach, Krishnan Gowri, Zoltán Nagy, Anthony Fontanini, Jeff Haberl:
The ASHRAE Great Energy Predictor III competition: Overview and results. CoRR abs/2007.06933 (2020) - [i2]Congyu Wu, Hagen Fritz, Zoltán Nagy, Juan P. Maestre, Edison Thomaz, Christine Julien, Darla M. Castelli, Kaya de Barbaro, Gabriella M. Harari, R. Cameron Craddock, Kerry A. Kinney, Samuel D. Gosling, David M. Schnyer:
Multi-Modal Data Collection for Measuring Health, Behavior, and Living Environment of Large-Scale Participant Cohorts: Conceptual Framework and Findings from Deployments. CoRR abs/2010.08457 (2020) - [i1]José R. Vázquez-Canteli, Sourav Dey, Gregor Henze, Zoltán Nagy:
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management. CoRR abs/2012.10504 (2020)
Coauthor Index
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