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Dan Negrut

Dan Negrut

Bernard A. and Frances M. Weideman Professor

Department

Mechanical Engineering

Contact

4150A, Mechanical Engineering Bldg
1513 University Ave
Madison, WI

Professor Dan Negrut, Mechanical Engineering, University of Wisconsin–Madison

  • PhD 1998, Univ. of Iowa
  • BS 1992, Polytechnic Institute of Bucharest

  • Computer modeling and simulation of robots and autonomous vehicles
  • high performance computing
  • fluid-solid interaction

  • 2023 ASME International Conference on Multibody Systems, Nonlinear Dynamics, and Control, Best Student Paper Competition
  • 2021 ASME IDETC/CIE 2021 Conf. Multibody Systems & Nonlinear Dynamics and Controls , Best Paper Award
  • 2021 MDPI journal Fluids, Best Paper Award
  • 2021 Supercomputing 2021, Runner up, Best Poster Award
  • 2018 SAE World Congress, 2018 SAE Excellence in Oral Presentation Award
  • 2017 ASME IDETC/CIE 2017 Conf. Multibody Systems & Nonlinear Dynamics and Controls , Best Paper Award
  • 2017 College of Engineering, University of Wisconsin-Madison, Leaders in Engineering Excellence and Diversity (LEED) Scholar
  • 2016 Mechanical Engineering, Univ. of Wisconsin-Madison, Mead Witter Foundation Chaired Professor
  • 2016 College of Engineering, University of Wisconsin-Madison, College of Engineering Diversity and Equity Award
  • 2014 University of Wisconsin-Madison, Vilas Associate Researcher
  • 2012 College of Engineering, University of Wisconsin-Madison, Harvey Spangler Award for Technology-Enhanced Instruction
  • 2010 NVIDIA CUDA, NVIDIA CUDA Fellow
  • 2010 5th Asian Conference on Multibody Dynamics , Best Paper Award
  • 2009 National Science Foundation, NSF CAREER Award
  • 2007 Pi Tau Sigma Mechanical Engineering Honor Society, Professor of the Year
  • 2003 Editorial Board, Journal of Multi-body Dynamics (Part K of the Proceedings of the IMechE), Professional Engineering Publishing Award

  • Zhang, R., Vanden Heuvel, C., Schepelmann, A., Rogg, A., Apostolopoulos, D., Chandler, S., Serban, R., & Negrut, D. (2024). A GPU-accelerated simulator for the DEM analysis of granular systems composed of clump-shaped elements. Engineering with Computers, 1--21.
  • Unjhawala, H. M., Mahajan, I., Serban, R., & Negrut, D. (2024). A Library of Lower Fidelity Dynamics Models (LFDMs) For On-Road Vehicle Dynamics Targeting Faster Than Real-Time Applications. Journal of Open Source Software, 9(99), 6548.
  • Zhang, H., Caldararu, S., Young, A., Ruiz, A., Unjhawala, H., Mahajan, I., Ashokkumar, S., Batagoda, N., Zhou, Z., Bakke, L., & others, (2024). A study on the use of simulation in synthesizing path-following control policies for autonomous ground robots. arXiv preprint arXiv:2403.18021.
  • Unjhawala, H., Hansen, T., Zhang, H., Caldraru, S., Chatterjee, S., Bakke, L., Wu, J., Serban, R., & Negrut, D. (2024). An expeditious and expressive vehicle dynamics model for applications in controls and reinforcement learning. IEEE Access.
  • Hu, W., Li, P., Unjhawala, H. M., Serban, R., & Negrut, D. (2024). Calibration of an expeditious terramechanics model using a higher-fidelity model, Bayesian inference, and a virtual bevameter test. Journal of Field Robotics, 41(3), 550--569.
  • Zhang, R., Tagliafierro, B., Heuvel, C. V., Sabarwal, S., Bakke, L., Yue, Y., Wei, X., Serban, R., & Negrut, D. (2024). Chrono DEM-Engine: A Discrete Element Method dual-GPU simulator with customizable contact forces and element shape. Computer Physics Communications, 300, 109196.
  • Zhong, X., Zhou, Y., Kamaraj, V., Zhou, Z., Kontar, W., Negrut, D., Lee, J. D., & Ahn, S. (2024). Human-Machine Interaction in Automated Vehicles: Reducing Voluntary Driver Intervention. arXiv preprint arXiv:2404.05832.
  • Wang, J., Wang, S., Unjhawala, H. M., Wu, J., & Negrut, D. (2024). MBD-NODE: physics-informed data-driven modeling and simulation of constrained multibody systems. Multibody System Dynamics, 1--43.
  • Mahajan, I., Unjhawala, H., Zhang, H., Zhou, Z., Young, A., Ruiz, A., Caldararu, S., Batagoda, N., Ashokkumar, S., & Negrut, D. (2024). Quantifying the sim2real gap for GPS and IMU sensors. arXiv preprint arXiv:2403.11000.
  • Kissel, A., Bakke, L., & Negrut, D. (2024). Reducing the Constrained Multibody Dynamics Problem to the Solution of a System of ODEs via Velocity Partitioning and Lie Group Integration. Journal of Computational and Nonlinear Dynamics, 1--12.

  • COMP SCI 790 - Master's Thesis (Spring 2025)
  • COMP SCI 899 - Pre-Dissertator Research (Spring 2025)
  • E C E 399 - Independent Study (Spring 2025)
  • E C E 489 - Honors in Research (Spring 2025)
  • E C E 699 - Advanced Independent Study (Spring 2025)
  • E C E 790 - Master's Research (Spring 2025)
  • M E 790 - Master's Research and Thesis (Spring 2025)
  • M E 890 - PhD Research and Thesis (Spring 2025)
  • M E 990 - Dissertator Research and Thesis (Spring 2025)
  • COMP SCI 790 - Master's Thesis (Fall 2024)
  • COMP SCI 899 - Pre-Dissertator Research (Fall 2024)
  • E C E 399 - Independent Study (Fall 2024)
  • E C E 699 - Advanced Independent Study (Fall 2024)
  • E C E 790 - Master's Research (Fall 2024)
  • E C E 890 - Pre-Dissertator's Research (Fall 2024)
  • M E 699 - Advanced Independent Study (Fall 2024)
  • M E 790 - Master's Research and Thesis (Fall 2024)
  • M E 890 - PhD Research and Thesis (Fall 2024)
  • M E 990 - Dissertator Research and Thesis (Fall 2024)
  • COMP SCI 899 - Pre-Dissertator Research (Summer 2024)
  • M E 790 - Master's Research and Thesis (Summer 2024)
  • M E 890 - PhD Research and Thesis (Summer 2024)
  • M E 990 - Dissertator Research and Thesis (Summer 2024)
  • COMP SCI 682 - Senior Honors Thesis (Spring 2024)
  • COMP SCI 899 - Pre-Dissertator Research (Spring 2024)
  • E C E 399 - Independent Study (Spring 2024)
  • E C E 699 - Advanced Independent Study (Spring 2024)
  • E C E 790 - Master's Research (Spring 2024)
  • M E 790 - Master's Research and Thesis (Spring 2024)
  • M E 890 - PhD Research and Thesis (Spring 2024)
  • COMP SCI 681 - Senior Honors Thesis (Fall 2023)
  • COMP SCI 759 - High Performance Computing for Applications in Engineering (Fall 2023)
  • COMP SCI 799 - Master's Research (Fall 2023)
  • COMP SCI 899 - Pre-Dissertator Research (Fall 2023)
  • E C E 399 - Independent Study (Fall 2023)
  • E C E 699 - Advanced Independent Study (Fall 2023)
  • E C E 759 - High Performance Computing for Applications in Engineering (Fall 2023)
  • E C E 790 - Master's Research (Fall 2023)
  • E M A 759 - High Performance Computing for Applications in Engineering (Fall 2023)
  • E P 759 - High Performance Computing for Applications in Engineering (Fall 2023)
  • M E 759 - High Performance Computing for Applications in Engineering (Fall 2023)
  • M E 790 - Master's Research and Thesis (Fall 2023)
  • M E 890 - PhD Research and Thesis (Fall 2023)
  • M E 990 - Dissertator Research and Thesis (Fall 2023)
  • COMP SCI 899 - Pre-Dissertator Research (Summer 2023)
  • E C E 790 - Master's Research (Summer 2023)
  • M E 699 - Advanced Independent Study (Summer 2023)
  • M E 890 - PhD Research and Thesis (Summer 2023)
  • M E 990 - Dissertator Research and Thesis (Summer 2023)