Iman Soltani Bozchalooi

ImanPicture2

I am an automation research scientist at the Ford Greenfield Labs in Palo Alto , CA and a Research Affiliate at MIT, Department of Mechanical Engineering. I started at MIT as a PhD candidate and later continued my research on nano-instrumentation and automotive active safety as a postdoctoral associate. Prior to joining MIT, I worked as a research engineer at the University of Ottawa, Canada. My area of research interest is robotics, instrumentation and design with applications in advanced manufacturing automation, nano-scale microscopy and machinery health monitoring. I am currently leading the advanced manufacturing automation efforts at Ford Greenfield Labs. You can contact me at isoltani@mit.edu or isoltani@ford.com if you have any questions about my research.

Education

Postdoctoral Associate, Massachusetts Institute of Technology, 2016

PhD, Mechanical Eng., Massachusetts Institute of  Technology, 2015

M.A.Sc, Mechanical Eng., University of Ottawa, 2007

B.A.Sc, Mechanical Eng.,Tehran Polytechnic, 2003

 

Nominations, Awards, Scholarships

  • Recipient of the MIT Translational Fellowship (TFP), 2015-2016.
  • Ph.D Thesis: winner of Carl G. Sontheimer prize for Excellence in Innovation and Creativity In Design, Massachusetts Institute of Technology, 2015.
  • De-Florez Award for outstanding ingenuity and creative judgment, Massachusetts Institute of Technology, Design and control of a Large Range Video Rate Atomic Force Microscope, 2014.
  • Best presentation award in Precision Mechatronics, American Control Conference, Portland, Oregon, 2014.
  •  NSERC Post Graduate Scholarship, 2010-2013.
  • Nominated for the outstanding master’s thesis, University of Ottawa, Ottawa, Ontario, Canada, 2007.
  • International Student Award, University of Waterloo, Waterloo, Canada, 2007.

Press

Patents

[P.9] I. S. Bozchalooi, Learning systems and methods, USPTO patent application No. 16/275145, 2019

[P.8] I. S. Bozchalooi, Automation safety and performance robustness through uncertainty driven learning and control, USPTO patent application No. 16/197649, 2018

[P.7] I. S. Bozchalooi, F. Assadian, High-throughput automated annotation of visual data for training neural networks used for landmark detection, USPTO patent application No. 16/195188, 2018

[P.6] I. S. Bozchalooi, F. Assadian, Robotic manipulation using an independently actuated vision system, an adversarial control scheme, and a multi-tasking deep learning architecture, USPTO patent application No. 16/197641, 2018

[P.5] I. S. Bozchalooi, K. Youcef-Toumi, A LiDAR device based on scanning mirrors array and multi-frequency laser modulation, USPTO and PCT Patent application 15/591,593, publication No. US20180329037A1, 2016

[P.4]  Iman Soltani Bozchalooi, Kamal Youcef-Toumi, A multi-actuation methodology for high-speed/large-range nano-positioning, US Patent No. 9,397,587.

[P.3]  Hadi Tavakoli Nia, Iman Soltani Bozchalooi, Yang Li, Han-Hwa Hung, Eliot Frank, Kamal Yousef-Toumi, Christine Ortiz and Alan Grodzinsky, High-Frequency Rheology System, US Patent No. 8,516,610.

[P.2]  Ming Liang and Iman Soltani Bozchalooi, Parameter independent detection of rotating machinery faults, United States Patent and Trademark Office (USPTO), No. 8,544,331 and Canadian Intellectual Property Office (CIPO) Patent No. CA2,687,785A1.

[P.1]  Ming Liang, Tet Hin Yeap, Xianfeng Fan and Iman Soltani Bozchalooi, Method to extract target signals of a known type from raw data containing an unknown number of target signals, interference, and noise, United States Patent and Trademark Office (USPTO), Patent No. 8,073,634 and Canadian Intellectual Property Office (CIPO).

Publications

Refereed Journal Publications

[J.15] I. S. Bozchalooi, R. Burke, F. Charette, Variation perception for one shot learning, in preparation, to be submitted to Journal of Machine Learning Research, 2019

[J.14] I. Soltani Bozchalooi, A. Careaga Houck, J. M. AlGhamdi, K. Youcef-Toumi, Design and control of multi-actuated atomic force microscope for large-range and high-speed imaging, Ultramicroscopy, 160 (2016) 213-224.

[J.13] Andreas Schuh, I. Soltani Bozchalooi, Ivo W Rangelow and Kamal Youcef-Toumi, Multi-eigenmode control for high material contrast in bimodal and higher harmonic atomic force microscopy, Nanotechnology, 26 235706 (2015).

[J.12] Hadi Tavakoli Nia, Lin Han, I. Soltani Bozchalooi, Peter Roughley, Kamal Youcef-Toumi, Alan J. Grodzinsky and Christine Ortiz, Aggrecan Nanoscale Solid–Fluid Interactions Are a Primary Determinant of Cartilage Dynamic Mechanical Properties, ACS NANO, 9 (3) (2015), 2614–2625.

[J.11] I. Soltani Bozchalooi, and Kamal Youcef-Toumi, Multi-Actuation and PI control: a Simple Recipe for High-Speed and Large-Range Atomic Force Microscopy, Ultramicroscopy, 146 (2014), 117-124.

[J.10] H. Tavakoli Nia, I. Soltani Bozchalooi, Yang Li, Lin Han, Han-Hwa Hung, Eliot Frank, Kamal Youcef-Toumi, Christine Ortiz, Alan 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. Appeared in the MIT-news and ScienceDaily.

[J.9] I. Soltani Bozchalooi, K Youcef-Toumi, D J Burns and G E Fantner, Compensator design for improved counterbalancing in high speed atomic force microscopy,  American Institute of Physics – Review of Scientific Instruments, 82 (2011) 113712, 12 pages.

[J.8] F. Kamarei, F. Movaghari, A. Ghaffari, I. Soltani Bozchalooi, A. Zamani and A. Jabbari, Development of a stability-indicating high performance liquid chromatography method for assay of erythromycin ethylsuccinate in powder for oral suspension dosage form, Arabian Journal of Chemistry, in press.

[J.7] I. Soltani Bozchalooi and M. Liang, Teager Energy Operator for multi-modulation extraction and its application for gearbox fault detection, Smart Materials and Structures, 19 (2010) 075008 (18pp).

[J.6]  M. Liang and I. Soltani Bozchalooi, 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.

[J.5]  I. Soltani Bozchalooi and M. Liang, Parameter-free bearing fault detection based on maximum likelihood estimation and differentiation, Measurement Science and Technology, 20 (2009) 065102 (14pp).

[J.4]  I. Soltani Bozchalooi and M. Liang, In-line identification of oil debris signals: an adaptive subband filtering approach,  Measurement Science and Technology, 21 (2010) 015104 (15pp).

[J.3]  I. Soltani Bozchalooi 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), 915-933, 2008. Ranked among the Top 25 Hottest Articles of Mechanical Systems and Signal Processing (January 2008-March 2008).

[J.2]  I. Soltani Bozchalooi 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), 246-267, 2007.

[J.1]  A. Ghaffari, H. Abdollahi, M.R.Khoshayand, I.Soltani Bozchalooi, 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.

Refereed Conference Publications

[C.13] Z. Yang, I. S. Bozchalooi, E. Darve, Generative adversarial networks with anomaly augmentation, submitted to  Neural Information Processing Systems, 2019

[C.12] I. Soltani Bozchalooi, K. Youcef-Toumi, A study on the effectiveness of proportional-integral-derivative control in multi-actuated atomic force microscopy, Proceedings of the American Control Conference, Chicago, Illinois (ACC 2015).

[C.11] A. Schuh, I. Soltani Bozchalooi, I. W. Rangelow, and K. Youcef-Toumi, Estimator based multi-eigenmode control of cantilevers in multifrequency Atomic Force Microscopy, Proceedings of the American Control Conference, Chicago, Illinois (ACC 2015).

[C.10] I. Soltani Bozchalooi, K. Youcef-Toumi, Control Design for Division and Compensation with Application to High-Speed/High-Range Nano-Positioning, Proceedings of the American Control Conference, Portland, Oregan (ACC 2014). Best presentation award in precision mechatronics.

[C.9] H. T. Nia, I. Soltani Bozchalooi, Y. Li, E. Frank, K. Yousef-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

[C.8] I. Soltani Bozchalooi, K Youcef-Toumi, D J Burns and G E Fantner, A vibration suppression approach to high-speed Atomic Force Microscopy, proceedings of the 2012 American Control Conference, Montreal, Canada.

[C.7] H. TavakoliNia, L. Han, Y. Li, I. Soltani Bozchalooi, H. Hung, E. Frank, K. Yousef-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.

[C.6] I. Soltani Bozchalooi and M. Liang, Frequency demodulation for detecting mechanical faults with impulsive vibration signatures, proceedings of the 2011 IEEE Control and Decision Conference (CCDC), Mianyang, China, May 23-25, 2011, pp 1937 – 1940.

[C.5]I. Soltani Bozchalooi and M. Liang, Oil Debris Signal Analysis Based on Empirical Mode Decomposition for Machinery Condition Monitoring, proceedings of the 2009 IEEE American Control Society Conference, St. Louis, Missouri, June 10-12, 2009, pp 4310 – 4315.

[C.4]I. Soltani Bozchalooi 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, paper #26.

[C.3]I. Soltani Bozchalooi and M. Liang, Enhancement of the Signals Collected by Oil Debris Sensors, proceedings of the 2008 IEEE American Control Society Conference, Seattle June 11-13, 2008, pp 2810 – 2815.

[C.2]I. Soltani Bozchalooi 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, pp 39-43.

[C.1]I. Soltani Bozchalooi and M. Liang, A Combined Spectral Subtraction and Wavelet De-Noising Method for Bearing Fault Detection, proceedings of the 2007 IEEE American Control Society Conference, New York July 11-13, 2007, pp 2533-2538.

 

Videos of nano-scale processes such as dissolution and deposition captured with our custom high-speed large-range  Atomic Force Microscope (AFM).