Publications

Patents:

  • I. Soltani, F. Charette, P. Narayanan, R. Burke, D. Upadhyay, D. P. Filev, Memory based global positioning and navigation system, Ford Motor Company invention disclosure number 84232170, 2019
  • I. Soltani, F. Charette, D. P. Filev, R. Burke, D. Upadhyay, Memory augmentation of neural networks for one or few shot learning, Ford Motor Company invention disclosure number 84232184, 2019
  • Z. Yang, I. Soltani, E. F. Darve, Anomaly Augmented Generative Adversarial Networks, USPTO US20200410285A1, 2019
  • I. Soltani, L. Scaria, F. Assadian, A Method for Adaptive Information Fusion, USPTO patent application No. 16/587084, 2019
  • I. Soltani, Learning systems and methods, USPTO US20200257302A1, 2019
  • I. Soltani, Automation safety and performance robustness through uncertainty driven learning and control, USPTO US20200156241A1, 2018
  • I. Soltani, F. Assadian, High-throughput automated annotation of visual data for training neural networks used for landmark detection, USPTO US10929714B2, 2018
  • I. Soltani, F. Assadian, Robotic manipulation using an independently actuated vision system, an adversarial control scheme, and a multi-tasking deep learning architecture, USPTO US10926416B2, 2018
  • I. Soltani, K. Youcef-Toumi, A LiDAR device based on scanning mirrors array and multi-frequency laser modulation, USPTO and PCT US10649072B2, 2017
  • I. Soltani, K. Youcef-Toumi, A multi-actuation methodology for high-speed/large-range nano-positioning, US Patent No. 9,397,587.
  • H. Tavakoli Nia, I. Soltani, Y. Li, H. Hung, E. Frank, K. Yousef-Toumi, C. Ortiz and A. Grodzinsky, High-frequency rheology system, US Patent No. 8,516,610.
  • M. Liang, I. Soltani, Parameter independent detection of rotating machinery faults, US Patent No. 8,544,331 and Canadian Intellectual Property Office (CIPO) Patent No. CA2, 687,785A1.
  • M. Liang, T. H. Yeap, X. Fan and I. Soltani, Method to extract target signals of a known type from raw data containing an unknown number of target signals, interference, and noise, US Patent No. 8,073,634 and Canadian Intellectual Property Office (CIPO).

Journal and Conference:

  • Rongfei Li, F. Assadian, I. Soltani, Design and Implementation of Vehicle Tracking System Using a Youla Controller Output Observer, ASME International Mechanical Engineering Congress and Exposition, 2020.
  • Yang, I. Soltani, E. Darve, Generative adversarial networks with anomaly augmentation, 24th European Conference on Artificial Intelligence, 2019
  • I. Rangelow, T. Ivanov, A. Ahmad, M. Kaestner, C. Lenk, I. Soltani, F. Xia, K. Youcef-Toumi, M. Holz, A.Reum, Active scanning probes: A versatile toolkit for fast imaging and emerging nanofabrication, Journal of Vacuum Science & Technology B, 35 (2017)
  • Xia, I. Soltani, K. Youcef-Toumi, Induced vibration contact detection for minimizing cantilever tip-sample interaction forces in jumping mode atomic force microscopy, American Control Conference, 2017.
  • I. Soltani, A. C. Houck, J. AlGhamdi, and K. Youcef-Toumi, Design and control of a multi-actuated atomic force microscope for high-Speed, large-range imaging, Ultramicroscopy, 160 (2016) 213-224. Featured in MIT-NEWS, Boston Globe, Advanced Materials.
  • I. Soltani, A. C. Houck and K. Youcef-Toumi, A study on the effectiveness of PI control for multi-actuated atomic force microscopy, American Control Conference, 2015. Invited Paper
  • A. Schuh, I. Soltani, I. W Rangelow and K. Youcef-Toumi, Multi-eigenmode control for high material contrast in bimodal and higher harmonic atomic force microscopy, Nanotechnology, 26 (2015) 235706.
  • H. T. Nia, L. Han, I. Soltani, P. Roughley, K. Y. Toumi, A. J. Grodzinsky and C. Ortiz, Aggrecan nanoscale solid–fluid interactions are a primary determinant of cartilage dynamic mechanical properties, ACS NANO, 9 (3) (2015).
  • I. Soltani, K. Youcef-Toumi, Control design for division and compensation with application to high-speed/large-range nano-positioning, American Control Conference, Portland, Oregan, 2014. Invited Paper. Best presentation award in precision mechatronics.
  • I. Soltani, and K. Youcef-Toumi, Multi-Actuation and PI control: a Simple Recipe for High-Speed and Large-Range Atomic Force Microscopy, Ultramicroscopy, 146 (2014), 117-124.
  • H. T. Nia, I. Soltani, Y. Li, L. Han, H. Hung, E. Frank, K. Youcef-Toumi, C. Ortiz, A. Grodzinsky, High-bandwidth AFM-based rheology reveals that cartilage is most sensitive to high loading rates at early stages of impairment, Biophysical journal, 104 (2013) 1529-1537. Featured in MIT-News and ScienceDaily.
  • T. Nia, I. Soltani, Y. Li, E. Frank, K. Youcef-Toumi, A. Grodzinsky and C. Ortiz, The effect of GAG depletion on cartilage nanoscale hydraulic permeability, Transactions of the 58th Annual Orthopaedic Research Society, San Francisco, CA, 2012.
  • I. Soltani, K. Youcef-Toumi, D. J. Burns and G. E. Fantner, A vibration suppression approach to high-speed atomic force microscopy, American Control Conference, Montreal, Canada, 2012.
  • TavakoliNia, L. Han, Y. Li, I. Soltani, H. Hung, E. Frank, K. Youcef-Toumi, A. Grodzinsky, and C. Ortiz, Poro/Viscoelasticity of cartilage at the nanoscale, 2011, 4th International Conference on the Mechanics of Biomaterials and Tissues, Hawaii, USA, 11-15 Dec, 2011.
  • I. Soltani, K. Youcef-Toumi, D. J. Burns and G. Fantner, Compensator design for improved counterbalancing in high speed atomic force microscopy, American Inst. of Physics – Review of Scientific Instruments, 82 (2011).
  • I. Soltani and M. Liang, Frequency demodulation for detecting mechanical faults with impulsive vibration signatures, IEEE Control and Decision Conference (CCDC), Mianyang, China, May 23-25, 2011.
  • I. Soltani and M. Liang, In-line identification of oil debris signals: an adaptive subband filtering approach, Measurement Science and Technology, 21 (2010) 015104.
  • I. Soltani and M. Liang, Teager Energy Operator for multi-modulation extraction and its application for gearbox fault detection, Smart Materials and Structures, 19 (2010) 075008.
  • M. Liang and I. Soltani, An energy operator approach to joint application of amplitude and frequency-demodulations for bearing fault detection, Mechanical Systems and Signal Processing, 24 (2010) 1473-1494.
  • I. Soltani and M. Liang, Oil debris signal analysis based on empirical mode decomposition for machinery condition monitoring, American Control Conference, St. Louis, Missouri, June 10-12, 2009.
  • I. Soltani and M. Liang, Parameter-free bearing fault detection based on maximum likelihood estimation and differentiation, Measurement Science and Technology, 20 (2009) 065102.
  • I. Soltani and M. Liang, Vibration and electrical interference removal for improved bearing fault diagnosis, proceedings of the 11th Mechatronics Forum Biennial International Conference (Mechatronics 2008), Limerick, Ireland, June 23-25, 2008.
  • I. Soltani and M. Liang, A joint resonance frequency estimation and in-band noise reduction method for enhancing the detectability of bearing fault signals, Mechanical Systems and Signal Processing, 22 (4), (2008) 915-933. Ranked among the Top 25 Hottest Articles of Mechanical Systems and Signal Processing. 
  • I. Soltani and M. Liang, Enhancement of the signals collected by oil debris sensors, American Control Conference, Seattle, June 11-13, 2008.
  • I. Soltani and M. Liang, A Smoothness Index guided approach to wavelet parameter selection in signal de-noising and fault detection, Journal of Sound and Vibration, 308(1-2) (2007) 246-267.
  • I. Soltani and M. Liang, A combined spectral subtraction and wavelet de-noising method for bearing fault detection, American Control Conference, New York July 11-13, 2007
  • I. Soltani and M. Liang, Identification of high SNR frequency band for bearing fault signature enhancement, proceedings of the 14th IEEE International Conference on Mechatronics and Machine Vision in Practice (M2VIP2007), Xiamen, China, 4-6 Dec, 2007.
  • A. Ghaffari, H. Abdollahi, M.R.Khoshayand, I. Soltani, A.Dadgar and M.Rafiee-Tehrani, Performance Comparison of Neural Network Training Algorithms in Modeling of Bimodal Drug Delivery, International Journal of Pharmaceutics, 327(1-2), 126-138, 2006.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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