Book chapter

N. K. Nikolova, M. Ravan, and R. K. Amineh, Chapter VI, “Substrate integrated antennas on silicon,” prepared for J.M. Deen and G. Boeck, eds., Advances in Imaging and Electron Physics, Volume 174: Silicon-Based Millimetre-wave Technology, 1st Edition, Academic press, 2012

Journal Papers

1.  A. Abbasnia, M. Ravan, R.K. Amineh, "Elbow Gesture Recognition with an Array of Inductive Sensors and Machine Learning," Sensors, Jun. 2024.

2. A. Noroozi, M. S. Hasan, M. Ravan, E. Norouzi, and Y. Law, “An efficient machine learning approach for extracting eSports players’ distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross validation,” International Journal of Data Science and Analytics, Springer  

3. M. Ravan, A. Noroozi, M. M. Sanchez, L. Borden, N. Alam, P. Flor-Henry, S. Colic, A. Khodayari, L. Minuzzi, and G. Hasey, “Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers,” Journal of Affective Disorder, vol. 346, pp. 285-298, Feb. 2024.  

4. F. Khatoon, M. Ravan, R. K. Amineh, and A.Byberi, "Hand gesture recognition pad using an array of inductive sensors," IEEE Transactions on Instrumentation & Measurement. vol. 72,  May 2023

5. R. K. Amineh, M. Ravan, and D. Tandel, "Detection of water pollutants with a nonuniform array of microwave sensors," IEEE Transactions on Instrumentation & Measurement, vol. 72,  May 2023. 

6. A. Byberi, M. Ravan, and R. K. Amineh, "GloveSense: a hand gesture recognition system based on inductive sensing," IEEE Sensors Journal, vol. 23, no. 9, pp. 9210-9219, May 2023. 

7. Y. Gao, M. Ravan, R. K. Amineh, "Near-field imaging of dielectric components using an array of microwave sensors," Electronics, vol. 12, no. 6, 2023 (invited). 

8. M. Ravan, A. Noroozi, M. M. Sanchez, L. Bordena, N. Alam, P. Flor-Henry, and G. Hasey, “Discriminating between bipolar and major depressive disorder using a machine learning approach and resting EEG data,” Clinical Neurophysiology, vol. 146, pp. 30-39, 2023.

9. T. Oakley, J. Coskuner, A. Cadwallader, M. Ravan, G. Hasey, “EEG biomarkers to predict response to sertraline and placebo treatment in major depressive disorder,” IEEE Transactions on Biomedical Engineering, vol. 70, no. 3, pp. 909-919, March 2023. 

10. A. Noroozi, M. Ravan, B. Razavi. R. S. Fisher, Y. Law, and M. S. Hasan, “A robust eLORETA technique for localization of brain sources in the presence of forward model uncertainties,” IEEE Transactions on Biomedical Engineering, vol. 70, no. 3, pp. 800-811, March 2023.  

11. A Byberi, R Amineh, and M Ravan, “Wearable inductive sensing of the arm joint: comparison of three sensing configurations,” Magnetism, vol. 2, no. 3, pp. 195-210, 2022.

12. M. Shah, Y. Gao, M. Ravan, and R. K. Amineh, “Quantitative defect size evaluation in fluid-carrying nonmetallic pipes,” IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 8, pp. 4071-4081, Aug. 2022.

13. N. Raisa, Y. Gao, M. Ganesh, M. Ravan, and R. K. Amineh, “Fast and robust capacitive imaging of cylindrical non-metallic media,” Magnetism, vol. 1, pp. 60-69, 2021.

14. Y. Gao, M. Ravan, and R. K. Amineh, “Fast, robust, and low-cost microwave imaging of multiple non-metallic pipes,” Electronics (Special Issue Applications of Electromagnetic Waves, Volume II), vol. 10, no. 15, 1762, 2021.

15. C. Ciprian, K. Masychev, M. Ravan, A. Manimaran, and A. Deshmukh, “Diagnosing schizophrenia using effective connectivity of resting EEG data,” Algorithms (Special Issue: Machine Learning Algorithms for Biomedical Signal Processing), vol. 14, no. 5, p. 139, 2021.

16. K. Masychev, C. Ciprian, M. Ravan, J. P. Reilly, and D. MacCrimmon, “Advanced signal processing methods for characterization of schizophrenia,” IEEE Transactions on Biomedical Engineering, vol. 68, no. 4, pp. 1123-1130, 2021.

17. M. Ganesh, M. Ravan, and R.K. Amineh, “Electromagnetic Induction Imaging at Multiple Depths with a Single Coil,” IEEE Transactions on Instrumentation & Measurement, vol. 70, Jan. 2021.

18. H. Wu, M. Ravan, and R. K. Amineh, “Holographic near-field microwave imaging with antenna arrays in a cylindrical setup,” IEEE Transactions Microwave Theory and Techniques, vol. 69, no. 1, pp. 418 – 430, Jan. 2021.  

19. C. Ciprian, K. Masychev, M. Ravan, J. P. Reilly, and D. MacCrimmon, “A machine learning approach using effective connectivity to predict response to clozapine treatment,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 28, no. 11, pp. 2598-2607, Dec. 2020.

20. H. Wu, M. Ravan, R. Sharma, J. Patel, and R. K. Amineh, “Microwave holographic imaging of non-metallic concentric pipes” IEEE Transactions on Instrumentation & Measurement, vol. 69, no.10, pp. 7594-7605, Oct. 2020.

21. K. Masychev, C. Ciprian, M. Ravan, A. Manimaran, and A. Deshmukh, “Quantitative biomarkers to predict response to clozapine treatment using resting EEG data,” Schizophrenia Research, vol. 223, pp. 289-296. Sep. 2020.

22. R. K. Amineh, M. Ravan, and R. Sharma, “Nondestructive testing of nonmetallic pipes using wideband microwave measurements,” IEEE Transactions on Microwave Theory and Techniques, vol. 68, no. 5, pp. 1763-1772, May 2020.

23. L. Harrison, M Ravan, D Tandel, K Zhang, T Patel, R. K. Amineh, “Material identification using a microwave sensor array and machine learning,” Electronics (Special Issue: Applications of Electromagnetic Waves), vol. 9, no. 2, pp. 288–299, Feb. 2020.

24. M. Ravan, R. K. Amineh, A. Hussein, O. Simanov, and A. Agarwal, “Electromagnetic induction imaging of metallic objects at multiple depths,” IEEE Magnetics Letters, vol. 11, Jan. 2020.

25. M. Ravan, “A machine learning approach using EEG signals to measure sleep quality,” AIMS Electronics and Electrical Engineering, vol. 3, no. 4, pp. 347-358, 2019.

26. M. Ravan, J. Begnaud, “Investigating the effect of short term responsive VNS therapy on sleep quality using automatic sleep staging,” IEEE Transactions on Biomedical Engineering, vol. 66, no. 12, pp. 3301-3309, 2019.

27. R. K. Amineh, M. Ravan, H. Wu, and A. Kasturi, “Three-dimensional holographic imaging using data collected over cylindrical apertures,” Microwave and Optical Technology Letters, vol. 61, no. 4, pp. 907-911, 2019.

28. R. K. Amineh, M. Ravan, R. Sharma, and S. Baua, “Three-dimensional holographic imaging using single frequency microwave data,” International Journal of Antennas and Propagation, pp. 1-13, 2018.

29. C. A. Szabo, F. S. Salinas, A. M. Papanastassiou, J. Begnaud, M. Ravan, K. Eggleston, R. Shade, C. Lutz, and M. De La Garza, “High-frequency burst vagal nerve stimulation therapy in a natural primate model of genetic generalized epilepsy,” Epilepsy Research, vol. 138, pp. 46-52, 2017.

30. M. Ravan, “Investigating the correlation between short-term effectiveness of VNS Therapy in reducing the severity of seizures and long-term responsiveness,” Epilepsy Research, vol. 33, pp. 46-53, 2017.

31. M. Ravan, “Beamspace fast fully adaptive brain source localization for limited data sequences,” Inverse Problems, vol. 33, no. 5, 14 pp, 2017.

32. M. Ravan, S. Sabesan, and O. D'Cruz, “On quantitative biomarkers of VNS therapy using EEG and ECG signals,” IEEE Transactions on Biomedical Engineering, vol. 64, no. 2, pp. 419-428, 2017.

33. O. Saleh, M. Ravan, R. J. Riddolls, and R. S. Adve, “Fast fully adaptive processing: A multistage STAP approach,” IEEE Transactions on Aerospace and Electronic Systems, vol. 52, no. 5, pp. 2168-2183, 2016.

34. A. A. Gorji, R. J. Riddolls , M. Ravan , R. S. Adve, “Joint waveform optimization and adaptive processing for random phase radar signals,” IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 4, pp. 2627-2640, 2015.

35. M. Ravan, J. P. Reilly, G. M. Hasey, D. J. MacCrimmon, and A. Khodayari-Rostamabad, “A machine learning approach using EEG data to investigate the effect of clozapine therapy,” Clinical Neurophysiology, vol. 126, no. 4, pp. 721-730, 2015.

36. M. Ravan, J. P. Reilly, and G. M. Hasey, “Minimum variance brain source localization for short data sequences,” IEEE Transactions on Biomedical Engineering, vol. 61, no. 2, pp. 535 - 546, 2014.

37. R. K. Amineh, M. Ravan, and N. K. Nikolova, “Three dimensional microwave imaging employing forward-scattered waves only,” International Journal of Antennas and Propagation, vol. 2013, pp. 1-15, 2013.

38. A. Noroozi, R. P. R. Hasanzadeh, and M. Ravan, “A fuzzy learning approach for identification of arbitrary crack profiles using ACFM technique,” IEEE Transactions on Magnetics, vol. 49, no. 9, pp. 5016-5027, 2013.

39. M. Ravan, R. J. Riddolls, R. S. Adve, “Ionospheric and auroral clutter models for HF surface wave and over the horizon radar systems,” Radio Science, vol. 47, pp. RS3010 (1-12), 2012.

40. R. K. Amineh, M. Ravan, N. K. Nikolova, and A. Khalatpour, “Three-dimensional near-field microwave holography using reflected and transmitted signals,” IEEE Transactions on Antennas and Propagation, vol. 59, no. 12, pp. 4777-4789, 2011. 

41. M. Ravan, J. P. Reilly, L. Trainor, and A. Khodayari, “A machine learning approach for distinguishing age of infants using auditory evoked potentials,” Clinical Neurophysiology, vol. 122, no. 11, pp. 2139-2150, 2011. 

42. R. K. Amineh, M. Ravan, A. Trehan, and N. K. Nikolova, “Near-field microwave imaging based on aperture raster scanning with TEM horn antennas,” IEEE Transactions on Antennas and Propagation, vol. 59, no. 3, pp. 928−940, 2011.

43. S. Beheshti, M. Ravan, J. P. Reilly and L. J. Trainor “Mean square error in Periodogram approaches with adaptive windowing,” IEEE Transactions on Signal Processing, vol. 59, no. 3, pp. 923-935, 2011.

44. R.P.R. Hasanzadeh, S. H. H. Sadeghi, M. Ravan, A. R. Moghaddamjoo, and R. Moini, “A fuzzy alignmen approach to sizing surface cracks by the AC field measurement technique,” NDT&E International, vol. 44, no. 1, pp. 75-83, 2011.

45. M. Ravan, R. K. Amineh, and N. K. Nikolova, “Two dimensional near-field microwave holography,” Inverse Problems, vol. 26, no. 5, pp. 1-21, 2010.

46. M. Ravan, R. K. Amineh, S. Koziel, N. K. Nikolova, and James P. Reilly, “Sizing of 3-D arbitrary defects using magnetic flux leakage measurements,” IEEE Transactions on Magnetics, vol. 46, no. 4, pp. 1024 - 1033, 2010.

47. M. Ravan, R. K. Amineh, S. Koziel, N. K. Nikolova, and J. P. Reilly, “Sizing of multiple cracks using magnetic flux leakage measurements,” IET Science, Measurement and Technology, vol. 4, no. 1, pp. 1–11, 2010.

48. M. Ravan, R. K. Amineh, M. Karrari, W. Rosehart and O. P. Malik, “Synchronous machine model identification using continuous wavelet NARX network,” Proc. IMechE, Part I: J. Systems and Control Engineering, vol. 223, no. I4, pp. 467-477, 2009.

49. R. K. Amineh, M. Ravan, S. H. H. Sadeghi, and R. Moini, “Removal of probe lift-off effects on crack detection and sizing in metals by the AC field measurement technique,” IEEE Transactions on Magnetics, vol. 44, no.8, pp. 2066-2073, 2008.

50. R. K. Amineh, M. Ravan, S. H. H. Sadeghi, and R. Moini, “Using AC field measurement data at an arbitrary lift-off distance to size long surface-breaking cracks in ferrous metals,” NDT & E International, vol. 41, no. 3, pp. 169-177, 2008.

51. M. Ravan, S. H. H. Sadeghi and R. Moini, “Neural network approach for determination of fatigue crack depth profile in a metal using alternating current field measurement data,” IET Science, Measurement and Technology, vol. 2, no. 1, pp. 32–38, 2008.

52. M. Ravan, S. H. H. Sadeghi and R. Moini, “Using a wavelet network for reconstruction of fatigue crack depth profile from AC field measurement signals,” NDT & E International, vol. 40, pp. 537-544, 2007.

53. M. Ravan, S. H. H Sadeghi and R. Moini, “Field distributions around arbitrary shapes surface cracks in metals induced by high frequency AC-current carrying wires of arbitrary shape,” IEEE Transactions on Magnetics, vol. 42, no. 9, pp. 2208-2214, 2006.

Conference Papers/Presentations

1. M. M. Sanchez, M. Ravan, G. Hasey, J. Reilly, and L. Minuzzi, "Diagnosing Suicidal Ideation from Resting State EEG Data Using a Machine Learning Algorithm," to appear in   46th International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022)

2. M. Shah, R. K Amineh, and M. Ravan, "Enhancing Near-Field Microwave Holographic Imaging with Predicted Object Position," to appear in  IEEEAP-S International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting(AP-S/URSI)

3. Y. Gao, R. K. Amineh, and M. Ravan, "Microwave Nondestructive Testing Using an Array of Near-Field Sensors,"  to appear in  IEEEAP-S International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting(AP-S/URSI)

4. M. M. Sanchez, L. Borden, N. Alam, A. Noroozi, M. Ravan, P. Flor-Henry, and G. Hasey, “A machine learning algorithm to discriminating between bipolar and major depressive disorders based on resting EEG data,” 44th International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022)

5. M. Shah, Y. Gao, M. Ravan, R. Amineh, “Thickness Profile Estimation of Fluid-Carrying Non-Metallic Pipes ,"   IIEEE/MTT-S International Microwave Symposium (IMS 2022)

6. L. Harrison, M. Ravan, K. Zhang, and R. Amineh, "Identification of Materials Using a Microwave Sensor Array and Machine Learning," Applied Computational Electromagnetics Society Conference (ACES 2021) 

7. R. Amineh, M. Ravan, "Fast and Cost-Effective Three-Dimensional Microwave Imaging Using a Cylindrical Setup," Applied Computational Electromagnetics Society Conference (ACES 2021)

8. K Masychev, C Ciprian, M Ravan, "Machine Learning Approach to Diagnose Schizophrenia Based on Effective Connectivity of Resting EEG Data", IEEE Signal Processing in Medicine and Biology Symposium (SPMB 2020)

9. H. Wu, M. Ravan, R. Sharma, J. Patel, and R. K. Amineh, "Non-Destructive Testing of Non-Metallic Concentric Pipes Using Microwave Measurements," 2020 IEEE/MTT-S International Microwave Symposium (IMS), pp. 369-372, 2020.   

10. M. Ravan, "Machine Learning Approach to Measure Sleep Quality using EEG Signal,"  IEEE Signal Processing in Medicine and Biology Symposium (SPMB 2019)

11. R. K. Amineh and M. Ravan, “Computational 3D Imaging of Tissues Using Single Frequency Microwave Data,”   9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON 2018)

12. H. Wu, R. Amineh, and M. Ravsn, “ Near-Field Holographic Microwave Imaging Using Data Collected Over Cylindrical Apertures,”  18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM 2018)

13. M.Ravan, “Modified Fast Fully Adaptive Beamforming for Source Localization”  40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018)

14. M. Ravan, “Investigating the Correlation between Short-term Effectiveness of VNS Therapy and Long-term Responsiveness” 2017 AES Annual Meeting

15. M. Ravan, R. M. McGuire, J. Begnaud, and S. Sabesan, “Retrospective analysis of seizure-related heart rate change,” 12th European Congress on Epileptology (ECE 2016).

16. M. Ravan, S. Sabesan, and O. D'CRUZ, "Investigating the effects of closed-loop vagus nerve stimulation on EEG and ECG signals during seizures,"  2015 AES Annual Meeting

17. S. Sabesan, M. Ravan, and O. D'CRUZ, "On Quantitative Biomarkers of closed-loop VNS Therapy using EEG and ECG signals during seizures," International Neuromodulation Society's 12th World Congress 

18. A. A. Gorji, R. J. Riddolls, M. Ravan, and R. S. Adve, "Joint waveform optimization and adaptive processing for random-phase radar signals," IEEE Radar Conference, May 2014.

19. M. Ravan and R. S. Adve, “Modeling the received signal for the Canadian over-the-horizon-radar,” IEEE Radar Conference, May 2013.

20. R. K. Amineh, M. Ravan, J. McCombe, N. K. Nikolova, “Range resolution in microwave imaging with forward-scattered waves only,” IEEE International Microwave Symposium (IMS 2013), June 2013.

21. M. Ravan and J. P. Reilly, “Brain source localization based on fast fully adaptive approach,” IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC2012), Aug. 2012.

22. M. Ravan D. MacCrimmon, G. Hasey, J. P. Reilly, and A. Khodayari-Rostamabad “A machine learning approach using P300 responses to investigate effect of clozapine therapy,” IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC2012) , Aug. 2012.

23. M. Ravan, R. J. Riddolls, and R. S. Adve, “ Ionospheric clutter model for high frequency surface wave radar,” IEEE Radar Conference, May 2012.

24. M. Ravan and R. S. Adve, “RobustSTAP for HFSWR in dense target scenarios with non-homogeneous clutter,” IEEE Radar Conference, May 2012.

25. A. Noroozi, R. P. R.Hasanzadeh, and M. Ravan, “A fuzzy alignment approach foridentification of arbitrary crack shape profiles in metallicstructures using ACFM technique,” Iranian Conference on Electrical Engineering (ICEE2012).

26. R. K. Amineh, M. Ravan, A. Khalatpour, and N. K. Nikolova,“ Three-dimensional near-field microwave holography,”Asia-Pacific Microwave Conference2011 (APMC 2011).

27. M. Ravan, R. S. Adve, andR. J. Riddolls, “MIMO fast fully adaptive processing in over-the-horizon radar,” IEEE Radar Conference,May 2011.

28. M.Ravan and S. Beheshti, “Speech recognition from adaptive windowing PSD estimation,” IEEE CCECE’11 Symposium on signal and multimedia processing, May 2011.

29. M. Ravan, R. K. Amineh,and N. K. Nikoova, “Near-field microwave holographic imaging: target localization and resolution study,” International Union of Radio Science Commission B and International Symposium onElectromagnetic Theory (URSI/EMTS), Germany, 2010.

30. M. Ravan, R. K. Amineh, S.Koziel, N. K.Nikolova, and J. P. Reilly, “Estimation of multiple surface cracks parameters using MFL testing,” International Union of Radio Science Commission B and International Symposium on Electromagnetic Theory (URSI/EMTS),Germany, 2010.

31. M. Ravan, R. K Amineh, N. K Nikolova, “Microwave Holography for near-Field Imaging,” IEEEAP-S International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting(AP-S/URSI), Canada, 2010.

32. R. K. Amineh, M. Ravan, A. Trehan, N. K. Nikolova, “Microwave Imaging for Breast Cancer Diagnosis Based on Planar Aperture Scanning,” IEEEAP-S International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting (AP-S/URSI),Canada,2010.

33. R. K Amineh, A. Trehan, M. Ravan, N. K Nikolova, “Planar Aperture Scanning for Microwave Imaging of the Breast: Advances and Challenges,” IEEEAP-S International Symposium on Antennas and Propagation and USNC/URSINational Radio Science Meeting (AP-S/URSI), Canada, 2010.

34. R. J. Riddolls, M. Ravan, andR. S. Adve, “Canadian HF Over-the-Horizon Radar experiments using MIMO techniques to control auroral clutter,” IEEE Radar Conference, May 2010.

35. R. K. Amineh, M. Ravan, A. Trehan, N. K. Nikolova, “Near-Field Microwave Imaging Based on Planar Aperture Scanning,” IEEE MTT 2010 International Microwave Symposium,May2010.

36. M. Ravan, R. K. Amineh, S. Koziel, N. K. Nikolova, and J. P. Reilly, “Three-dimensional defect reconstruction from MFL signals using space mapping optimization,”13thInternational Symposium on Antenna Technology and Applied Electromagnetics and the Canadian Radio Sciences Meeting(ANTEM/URSI),Canada, 2009.

37. O. Saleh, R. S. Adve, R. J.Riddolls, M. Ravan, and K. Plataniotis, “Adaptive processing in High Frequency Surface Wave Radar,” IEEE Radar Conference, May 2008.

38. S. Beheshti and M. Ravan, “Adaptive windowing in nonparametric power spectral density estimation,” IEEE CCECE’08 Symposium on signal and multimedia processing, May 2008.

39. R. Khalaj Amineh, M. Ravan, “Dynamic Range of SAW Sensors Due to the Electrical Constraints," Proc. of 31ndIEEE's Industrial Electronics Conference (IECON), 2005.

40. M. Ravan,S.H.H Sadeghi and R. Moini " A neuro-based approach for predicting surface cracks depth profiles," Proc. of 2ndInternational Conference on Electromagnetic Near-Field Characterization and Imaging (ICONIC), 2005.

41. R. Khalaj Amineh, M. Ravan," A Finite Difference Solution of Combined Heat and Mass Transfer in a Rotary Dehumidifier," Proc. of 56thAnnual International Appliance Technical Conference (IATC), 2005.

42. M. Ravan, R.Dalirooy Fard and M. Karrari, “Synchronous generator black-box identification using continuous wavelet network,” Bulk power system dynamic and control-VI, Italy,2004.

43. M. Ravan, S.H.H Sadeghi and R. Moini, “A wavelet network approach for predicting surface crack shapes,”29ndIEEE's Industrial Electronics Conference (IECON), 2003.

44. M. Ravan and S.A. Seyedin, “Fast block matching motion estimation using mathematicalmorphology,”5th Iranian Student Conference on Electrical Engineering, 2002