Dr. Hassan S. Salehi
Assistant Professor
Graduate Program Coordinator
Office: OCNL 316
Campus Zip: 888
Phone: 530-898-5816
E-mail: hsalehi@csuchico.edu
Research Lab Website: https://sites.google.com/view/salehilab/home
Ph.D. University of Connecticut
Artificial Intelligence and Machine Learning, Deep Learning, Signal and Image processing, Optical Imaging, Bioinstrumentation
- Education
Ph.D., Electrical Engineering, University of Connecticut, Storrs, CT, 2015
- Experience
2018- Present Assistant Professor , Department of Electrical and Computer Engineering, California State University, Chico, CA
Summer 2023 Visiting Professor, Harvard Medical School, Harvard University, Boston, MA
2015- 2018 Visiting Assistant Professor , Department of Electrical and Computer Engineering, University of Hartford, West Hartford, CT
2011-2015 Research Assistant , Optical and Ultrasound Imaging Lab, Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT. Funded by National Institutes of Health (NIH)
2012-2015 Teaching Assistant , Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT
2010-2011 Adjunct Faculty and Research Assistant , Department of Electrical and Computer Engineering, University of Hartford, West Hartford, CT
- Research and Grants
Research:
Research Interests
- Artificial Intelligence and Machine Learning
- Deep Learning
- Artificial Neural Networks
- Signal and Image Processing
- Sensing Systems
- Optical Imaging
- Optical Coherence Tomography (OCT)
- Photoacoustic Imaging
- Bioinstrumentation
for broad applications in bioimaging, healthcare, robotics, physical science, and industrial inspection.
Grants:
- Agricultural Research Institute (ARI) Grant, $277,269, Total: $644,612 (with matching funds), California State University system, “Improving Water and Land Use Efficiency in California Orchards: Field Research, Survey and Tool Development” PI: H. Zakeri, Co-PI: H. S. Salehi (2020-2025).
- National Science Foundation (NSF) MRIGrant-1920345, $110,375, “Acquisition of OCT Imaging System and Deep Learning Workstation for Interdisciplinary Healthcare Research and Education,” PI: H. S. Salehi, Co-PIs: G. Lee, M. Mahdian, and P. Donnelly (2019-2021).
- Research, Scholarship, and Creative Activity (RSCA) Grant, $6,000, California State University, Chico, “Low-Cost Photoacoustic Imaging System with Advanced Digital Processing Techniques for Cancer Detection,” PI: H. S. Salehi (2019-2020).
- Early-Stage Faculty Innovative Research Award, AAOMR-XDR Grant AWD-81218, $10,000, “Optical Coherence Tomography for the Detection and Grading of Dental Caries: A Pilot Study,” PIs: H. S. Salehi and M. Mahdian (2018-2019).
- New Faculty Research Grant, $18,000, California State University, Chico (2018-2020).
- Faculty-Student Engagement Grant, University of Hartford “Photoacoustic Imaging System with Laser Diode Excitation and Artificial Intelligence for Cancer Detection,” 2015-2018.
- KEEN Grant for Innovating Curriculum with Entrepreneurial Mindset (ICE), 2017-2018.
- Artificial Intelligence and Machine Learning
- Recent Publications
Peer-Reviewed Journal Publications
Ş.B. Duman, A.Z. Syed, D. Celik Ozen, İ.Ş. Bayrakdar, H. S. Salehi, A. Abdelkarim, Ö. Celik, G. Eser, O. Altun, K. Orhan, "Convolutional Neural Network Performance for Sella Turcica Segmentation and Classification Using CBCT Images," Diagnostics 12(9), 2244 (2022).
Q. Chen, J. Huanga, H. S. Salehi, H. Zhu, L. Lian, X. Lai, and K. Wei, “Hierarchical CNN-based occlusal surface morphology analysis for classifying posterior tooth type using augmented images from 3D dental surface models,” Elsevier Journal of Computer Methods and Programs in Biomedicine 208, 106295 (2021).Q.Chen, X. Jin, H. Zhu, H. S. Salehi, and K. Wei, “3D Distribution of dental plaque on occlusal surface using 2D-fluorescence-image to 3D-surface registration,” Elsevier Journal of Computers in Biology and Medicine 123, 103860 (2020).
(Invited Publication) A. Morales, H. S. Salehi, and K. Sohn, “IoT Instrument for Heart Monitoring: Interfacing Humans and Robots,” International Journal of Modern Engineering 18(2), 5-12 (2018).
M. Mahdian, H. S. Salehi , A. G. Lurie, S. Yadav, A. Tadinada, “Tissue characterization using optical coherence tomography and cone beam computed tomography: A comparative pilot study,” Elsevier Journal of Oral Surg. Med. Path. Radiology 122(1), 98-103 (2016). ( Featured Article on Elsevier Journal Cover )
H. S. Salehi , H. Li, A. Merkulov, P. D. Kumavor, H. Vavadi, M. Sanders, A. Kueck, M. A. Brewer, and Q. Zhu, “Co-registered photoacoustic and ultrasound imaging and classification of ovarian cancer: ex vivo and in vivo studies,” Journal of Biomed. Optics 21(4), 046006 (2016).
U. Alqasemi, H. S. Salehi , and Q. Zhu, “Method for estimating closed form solutions of the light diffusion equation for turbid media of any boundary shape,” Journal of Opt. Soc. Am. A 33(2), 205-213 (2016).
H. S. Salehi , P. D. Kumavor, U. Alqasemi, H. Li, T. Wang, C. Xu, and Q. Zhu, “Design of optimal light delivery system for co-registered transvaginal ultrasound and photoacoustic imaging of ovarian tissue,” Elsevier Photoacoustics Journal 3(3), 114-122 (2015).
S. Nandy, H. S. Salehi , T. Wang, X. Wang, M. Sanders, A. Kueck, M. Brewer, and Q. Zhu, “Correlating optical coherence elastography based strain measurements with collagen content of the human ovarian tissue,” Journal of Bio. Optics Express 6(10), 3806-3811 (2015).
C. Xu, H. Vavadi, A. Merkulov, H. Li, M. Erfanzadeh, A. Mostafa, Y. Gong, H. S. Salehi , S. Tannenbaum, and Q. Zhu, “Ultrasound-Guided Diffuse Optical Tomography for Predicting and Monitoring Neoadjuvant Chemotherapy of Breast Cancers: Recent Progress,” Journal of Ultrasonic Imaging 16, (2015).
H. S. Salehi , T. Wang, P. D. Kumavor, H. Li, and Q. Zhu, “Design of miniaturized illumination for transvaginal co-registered photoacoustic and ultrasound imaging,” Journal of Bio. Optics Express 5(9), 3074-3079 (2014).
T. Wang, S. Nandy, H. S. Salehi , P. D. Kumavor, and Q. Zhu, “A low-cost photoacoustic microscopy system with a laser diode excitation,” Journal of Bio. Optics Express 5(9), 3053-3058 (2014).
Peer-Reviewed Conference Papers
H. S. Salehi, M. Barchini, K. Braiser, and H. Zakeri "Development of GUI-based deep learning and image processing system for legume nodule segmentation and classification," Proc. SPIE DCS 12527, Pattern Recognition and Tracking XXXIV, 1252703 (2023).
H. S. Salehi, A. Granados, and M. Mahdian, "Comparison of deep convolutional neural network models with OCT images for dental caries classification," Proc. SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1203613 (2022).
H. S. Salehi, M. Barchini, Q. Chen, and M. Mahdian, “Toward development of automated grading system for carious lesions classification using deep learning and OCT imaging,” Proc. SPIE 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1160014 (2021).M. M. Murshid and H. S. Salehi, “Electromyography signal analysis with real-time support vector machine,” Proc. SPIE DCS 11423, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX, 1142313 (May 2020).
J. M. Rathod and H. S. Salehi, “Vision system with deep learning classifiers for automatic quality inspection,” Proc. SPIE DCS 11400, Pattern Recognition and Tracking XXXI, 1140009 (April 2020).
H. S. Salehi and J. D. Schad [CSU, Chico Student], “Design and implementation of low-cost linear laser scanning system for photoacoustic imaging,” Proc. SPIE BIOS 11240, Photons Plus Ultrasound: Imaging and Sensing, 112403I (February 2020).
Q. Chen [Visiting Scholar], X. Jin [Visiting Scholar], H. Zhu, and H. S. Salehi, “Classification of pit and fissure for caries risk based on 3D surface morphology analysis of tooth,” Proc. SPIE BIOS 11217, Lasers in Dentistry XXVI, 112170E (February 2020).
H. S. Salehi, M. Barchini [CSU, Chico Student], and M. Mahdian, “Optimization methods for deep neural networks classifying OCT images to detect dental caries,” Proc. SPIE BIOS 11217, Lasers in Dentistry XXVI, 112170G (February 2020). [In collaboration with SUNY Stony Brook University School of Dental Medicine]
R. J. Day, H. S. Salehi, and M. Javadi, “IoT Environmental Analyzer using Sensors and Machine Learning for Migraine Occurrence Prevention,” 18th IEEE International Conference on Machine Learning and Applications (ICMLA), Boca Raton, FL, USA, pp. 1460-1465, (December 2019).H. S. Salehi, M. Mahdian, M. M. Murshid, S. Judex, and A. Tadinada, “Deep learning-based quantitative grading of dental caries using optical coherence tomography: an ex vivo study,” Proc. SPIE BIOS 10857, Lasers in Dentistry XXV, 108570H (2019).
R. Day and H. S. Salehi , “Development of Smart Interior Environmental Mobile App for Health Monitoring,” in IEEE Green Tech 2018, Austin, TX, (2018).
N. Karimian, H. S. Salehi , M. Mahdian, H. Alnajjar, and A. Tadinada, “Deep learning classifier with optical coherence tomography images for early dental caries detection,” Proc. SPIE BIOS 10473, Lasers in Dentistry XXIV, 1047304 (2018).
H. S. Salehi , A. Kosa, M. Mahdian, S. Moslehpour, H. Alnajjar, and A. Tadinada, “Characterization of human oral tissues based on quantitative analysis of optical coherence tomography images,” Proc. SPIE BIOS 10044, Lasers in Dentistry XXIII, 1004406 (2017).
H. S. Salehi , M. Mahdian, H. Alnajjar, and A. Tadinada, “Utilizing Optical Coherence Tomography and Cone Beam Computed Tomography for Oral Tissues Characterization: Ex vivo Study,” OSA International Biomed. Optics Congress, JTu3A.52 (2016).
M. Erfanzadeh, H. S. Salehi , and Q. Zhu, “Improvement and evaluation of a low-cost laser diode photoacoustic microscopy system for ovarian tissue imaging,” Proc. SPIE BIOS 9708, Photons Plus Ultrasound: Imaging and Sensing, 97083I (2016).
M. M. Althobaiti, H. S. Salehi , and Q. Zhu, “Assessment of Diffuse Optical Tomography Image Reconstruction Methods Using Photon Transport Model,” Proc. COMSOL Conference, Boston, MA, USA (2015).
H. S. Salehi , H. Li, P. D. Kumavor, A. Merkulov, M. Sanders, M. Brewer, and Q. Zhu, “Wavelength optimization for in vivo multispectral photoacoustic/ultrasound tomography of hemoglobin oxygenation in ovarian cancer: clinical studies,” Proc. SPIE BIOS 9323, Photons Plus Ultrasound: Imaging and Sensing, 932303 (2015).
T. Wang, S. Nandy, H. S. Salehi , P. D. Kumavor, and Q. Zhu, “A compact and cost-efficient photoacoustic microscopy system with a pulsed laser diode excitation,” Proc. SPIE BIOS 9323, Photons Plus Ultrasound: Imaging and Sensing, 932340 (2015).
S. Nandy, T. Wang, H. S. Salehi , M. Sanders, M. Brewer, and Q. Zhu, “Estimation of elastic parameters of ovarian tissue using phase stabilized swept source optical-coherence tomography,” Proc. SPIE BIOS 9327, Photons Plus Ultrasound: Imaging and Sensing, 93270D (2015).
M. Mahdian, H. S. Salehi , S. Yadav, and A. Tadinada, “Optical Imaging Demonstrates Reliable Tissue Density Quantification and Measurement Accuracy,” Proc. International Association for Dental Research (2015).
H. S. Salehi , T. Wang, H. Li, P. Kumavor, and Q. Zhu, “Co-registered ultrasound and photoacoustic probe with a miniaturized light illumination scheme for in vivo ovarian cancer imaging,” OSA Biomed. Optics, BS2B.1 (2014).
H. S. Salehi , P. Kumavor, U. Alqasemi, H. Li, T. Wang, and Q. Zhu, “High-throughput fiber-array transvaginal ultrasound/photoacoustic probe for ovarian cancer imaging,” Proc. SPIE BIOS 8943, Photons Plus Ultrasound: Imaging and Sensing, 894335 (2014).
C. Xu, H. Vavadi, J. Chen, M. Erfanzadeh, Q. Yuan, Y. Gong, H. S. Salehi , H. Li, and Q. Zhu, “Toward Miniature Diffuse Optical Tomography System for Assessing Neoadjuvant Chemotherapy,” OSA Biomed. Optics, BM3A.57 (2014).
Invited Talks and Conference Presentations
Talks
H. S. Salehi, "Development of GUI-based deep learning and image processing system for legume nodule segmentation and classification," SPIE Defense + Commercial Sensing: Pattern Recognition and Tracking XXXIV Conference, Orlando, Florida, USA (May 3, 2023).
H. S. Salehi, “Deep learning-based quantitative analysis of dental caries using optical coherence tomography: an ex vivo study,” SPIE Photonics West Conference 2019, San Francisco, CA, USA (February 3, 2019).
H. S. Salehi, "Comparison of deep convolutional neural network models with OCT images for dental caries classification," SPIE Medical Imaging Conference 2022, San Diego, CA, USA (February 22, 2022).
H. S. Salehi, M. Barchini, Q. Chen, and M. Mahdian, “Toward development of automated grading system for carious lesions classification using deep learning and OCT imaging,” SPIE Medical Imaging Conference 2021, Digital Forum (February 16, 2021).H. S. Salehi, “Deep learning classifier with optical coherence tomography images for early dental caries detection,” SPIE Photonics West Conference 2018, San Francisco, CA, USA (January 28, 2018).
H. S. Salehi, “Characterization of human oral tissues based on quantitative analysis of optical coherence tomography images,” SPIE Photonics West Conference, San Francisco, CA, USA (January 29, 2017).
H. S. Salehi (invited speaker), “Imaging of ovarian cancer using ultrasound and laser photoacoustics,” Connecticut Symposium on Microelectronics & Optoelectronics (CMOC) (PDF), Bridgeport, CT, USA (April 1, 2015).
H. S. Salehi, “Wavelength optimization for in vivo multispectral photoacoustic/ultrasound tomography of hemoglobin oxygenation in ovarian cancer: clinical studies,” SPIE Photonics West Conference, San Francisco, CA, USA (February 8, 2015).
H. S. Salehi, “Co-registered ultrasound and photoacoustic probe with a miniaturized light illumination scheme for in vivo ovarian cancer imaging,” OSA Biomedical Optics Conference, Miami, FL, USA (April 27, 2014).
Poster Presentations
- H. S. Salehi, “Utilizing Optical Coherence Tomography and Cone Beam Computed Tomography for Oral Tissues Characterization: Ex vivo Study,” OSA International Biomedical Optics Congress, Fort Lauderdale, FL, USA (April 26, 2016).
- H. S. Salehi, “High-throughput fiber-array transvaginal ultrasound/photoacoustic probe for ovarian cancer imaging,” SPIE Photonics West Conference, San Francisco, CA, USA (February 2, 2014).
- H. S. Salehi, M. Barchini, Q. Chen, and M. Mahdian; “Toward development of automated grading system for carious lesions classification using deep learning and OCT imaging,” SPIE Medical Imaging Conference 2021, Digital Forum (February 16, 2021).
- Awards and Affiliations
Awards and Honors
- May 2022 International Wildcat Outstanding Professor of the Year Award, CSU Chico
- July 2021 SPIE Community Champion
- Aug 2019 National Science Foundation (NSF) Award
- May 2017 Professor of the Year Award, University of Hartford College of Engineering
- May 2015 Predoctoral Fellowship Award, ECE Dept, University of Connecticut
- Mar 2015 Best ECE Poster Award, University of Connecticut
- Jun 2014 Predoctoral Fellowship Award, ECE Dept, University of Connecticut
- 2011-2015 Research Fellowship, UConn, National Institutes of Health, NIH (R01) Grant
- 2012-2015 Summer Research Fellowship, UConn, National Institutes of Health, NIH (R01) Grant
- 2010-2011 Graduate Assistantship, ECE Dept, University of Hartford
Professional Activities
- Reviewer, IEEE Internet of Things Journal
- Reviewer, Nature Scientific Reports
- Reviewer, Optics Letters
- Reviewer, Journal of Biomedical Optics Express
- Reviewer, Journal of Biomedical Optics
- Reviewer, Journal of Applied Optics
Professional Memberships
- Member, Institute of Electrical and Electronics Engineers (IEEE)
- Member, Society of Photo-Optical Instrumentation Engineers (SPIE)
- Member, Optical Society of America (OSA)
- Member, KEEN Innovative Teaching (KIT)
Leadership Experience
- IEEE Advisor, California State University, Chico (2018-Present)
- President, OSA University of Connecticut (UConn) Student Chapter (2014-2015)
- President, SPIE University of Connecticut (UConn) Student Chapter (2013-2014)