Iman Soltani Bozchalooi
Orcid: 0000-0001-9430-1522Affiliations:
- University of California at Davis, Laboratory for AI, Robotics and Automation, CA, USA
- Massachusetts Institute of Technology, Cambridge, MA, USA (PhD 2015)
According to our database1,
Iman Soltani Bozchalooi
authored at least 15 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2025
IEEE Internet Things J., 2025
2024
IEEE Robotics Autom. Lett., 2024
2023
Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation.
Sensors, July, 2023
Targeted collapse regularized autoencoder for anomaly detection: black hole at the center.
CoRR, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2017
Induced vibration contact detection for minimizing cantilever tip-sample interaction forces in jumping mode atomic force microscopy.
Proceedings of the 2017 American Control Conference, 2017
2015
Estimator based multi-eigenmode control of cantilevers in multifrequency Atomic Force Microscopy.
Proceedings of the American Control Conference, 2015
A study on the effectiveness of proportional-integral-derivative control in multi-actuated atomic force microscopy.
Proceedings of the American Control Conference, 2015
2014
Control design for division and compensation with application to high-speed/large-range nano-positioning.
Proceedings of the American Control Conference, 2014
2012
Proceedings of the American Control Conference, 2012
2009
Oil debris signal analysis based on empirical mode decomposition for machinery condition monitoring.
Proceedings of the American Control Conference, 2009
2008
Proceedings of the American Control Conference, 2008
2007
A Combined Spectral Subtraction and Wavelet De-Noising Method for Bearing Fault Diagnosis.
Proceedings of the American Control Conference, 2007