Hassan S. Salehi, Ph.D.
Hassan S. Salehi, Ph.D. is an Associate Professor in the Department of Electrical and Computer Engineering at California State University, Chico. He earned his Ph.D. degree in Electrical and Electronics Engineering from the University of Connecticut in 2015, with funding from the National Institutes of Health (NIH). During Summer 2023, Dr. Salehi was with Harvard University as a Visiting Professor, conducting research on optical imaging and artificial intelligence/deep learning.
Dr. Salehi is the recipient of several teaching and research awards, including the International Outstanding Professor of the Year Award from CSU Chico (2022), the AAOMR Early-stage Faculty Innovative Research Award (2018), the UHart/CETA Professor of the Year Award (2017), and UConn Predoctoral Fellowship Awards (2014, 2015). In 2021, Dr. Salehi was recognized as an "SPIE Community Champion" for his significant contributions to the scientific community as an author, researcher, and reviewer. Dr. Salehi has served as a journal editor and reviewer, and he is a member of the Institute of Electrical and Electronics Engineers (IEEE) and the Society of Photo-Optical Instrumentation Engineers (SPIE).
His research primarily focuses on artificial intelligence (AI), including machine learning and deep learning models, signal and image processing, and the development of novel optical imaging and sensing systems. His work spans various applications in bioimaging, healthcare, robotics, physical sciences, and industrial inspection, showcasing a multidisciplinary approach to advancing technology and innovation. Dr. Salehi's research has been funded by the National Science Foundation (NSF), CSU ARI, AAOMR grants and industry. He has published over 35 peer-reviewed journal and conference articles in the field, and has given talks at numerous international conferences. One of his research papers was featured on the cover of the Journal of Oral Radiology. In his research projects, he is closely collaborating with his colleagues at different universities.
In addition to his research program, Dr. Salehi has substantial experience in curriculum and program design at CSU Chico, serving for three consecutive years on the University Curriculum Committee, including one year as Chair of the Electrical/Electronics Engineering Curriculum Committee and two years as Chair of the Department Graduate Education Committee. He led major graduate-program initiatives as the lead proposer and primary architect of the MS in Artificial Intelligence Engineering (MS AI Eng) program, developing the program concept and authoring the degree projection and full program proposal for campus and system review; the program was approved by the CSU Chancellor’s Office and the California State University Board of Trustees in Spring 2026 with implementation in Fall 2026.
He also played a key leadership role in the successful reopening of the MS in Electrical and Computer Engineering (MS ECE) program, including designing and developing essential new graduate coursework such as EECE 664 (Machine Learning for Engineers; co-designed) and EECE 665 (Deep Learning; sole author and designer), which he launched as the first deep learning course at CSU Chico. In parallel, he led the proposal for the Blended BS+MS ECE programs, and developed the associated graduate application processes across Cal State Apply and university platforms. Following program reactivation, he served as the first Graduate Coordinator, leading graduate admissions and program operations, and he has continued to modernize the graduate curriculum by redesigning EECE 682 to integrate artificial intelligence into digital control systems course. He also co-created and co-developed an interdisciplinary Minor in Biomedical Engineering within the EECE Department, contributing to program structure, course sequencing, and integration.
Qingguang Chen, Ph.D.
Associate Professor, Hangzhou Dianzi University
Xing Jin
Graduate Student, Hangzhou Dianzi University
Leanna Chairez
B.S. Candidate in Electrical/Electronic Engineering, California State University, Chico
Tyler Harris
B.S. Candidate in Computer Engineering, California State University, Chico
Alexandro Ayala
B.S. Candidate in Electrical/Electronic Engineering, California State University, Chico
Hector F. Ramirez
B.S. Candidate in Electrical/Electronic Engineering, California State University, Chico
Abdulaziz Alhadbah
B.S. Candidate in Electrical/Electronic Engineering, California State University, Chico
Siloe Pena Majano
B.S. Candidate in Electrical/Electronic Engineering, California State University, Chico
Matthew Dinh
B.S. Candidate in Electrical/Electronic Engineering, California State University, Chico
Devin Mortenson
B.S. Candidate in Electrical/Electronic Engineering, California State University, Chico
Personal Website
Majd Barchini
First Position: ECE Graduate Student, University of California, Davis
B.S. in Electrical/Electronic Engineering, California State University, Chico
Andreina Granados
First Position: Edison Software Engineer, General Electric (GE) Healthcare, Medical Imaging Division
B.S. in Computer Engineering, California State University, Chico
Andrew Romero
First Position: Electrical Engineering Graduate Student, Stanford University
B.S. in Electrical/Electronic Engineering, California State University, Chico
Eric Rainey
First Position: Electronics Engineer, NAVAIR, Electronics Division
B.S. in Electrical/Electronic Engineering, California State University, Chico
Randall Fowler
First Position: ECE Ph.D. Student, University of California, Davis
B.S. in Electrical/Electronic Engineering and B.S. in Computer Engineering, California State University, Chico
1. Mohammad Manzur Murshid
M.S. 2018, UHart
Position: Sr. Robotics and Software Engineer, SubUAS LLC, Hillsborough, NJ
Thesis: Electromyography Signal Analysis with Real Time Support Vector Machine and its Application to Robot Arm Manipulation (Link)
2. Jayesh Rathod
M.S. 2018, UHart
Position: Cable Management LLC, Meriden, CT
Thesis: Deep Learning Classifiers with Vision System for Automatic Quality Inspection (Link)
3. Ali Kosa
M.S. 2016, UHart
Position: United Technologies Corporation (UTC), OTIS, Farmington, CT
Thesis: Recognition Algorithm for Oral Tissue Classification from Optical Coherence Tomography Images
1. Andreina Granados
B.S. 2021, CSU, Chico
Senior Project: Deep Learning-based Classification for Improved Diagnostic Accuracy of Early Stage Dental Caries using OCT Imaging
2. Majd Barchini
B.S. 2020, CSU, Chico
Senior Project: Deep Learning Model with Optical Coherence Tomography (OCT) Images for Early Dental Caries Detection: Optimization Methods
3. James Bernhard
B.S. 2020, CSU, Chico
Senior Project: Development of Photoacoustic Imaging Systems
4. Nicholas Conant
B.S. 2020, CSU, Chico
Senior Project: FPGA-based Data Acquisition System for Photoacoustic Imaging
5. John D. Schad
B.S. 2019, CSU, Chico
Senior Project: Cost-efficient Photoacoustic Microscopy System
6. Tevin R. Williams, Abdullah Albalali, and Ahmed Alharbi
B.S. 2018, UHart
Senior Project: IoT Network Controlled Patient Monitoring Signals Generator
Sponsored by Center for Education, Simulation and Innovation at Hartford Hospital (CESI)
7. Astrid Mangual, Afamuefula Chiagoro, and Tyler Littman
B.S. 2018, UHart
Senior Project: IoT Based Solar Energy Storage System Using Capacitors
Sponsored by Energy ESC, LLP
8. Antonio Morales
B.S. 2018, UHart
Senior Project: IoT Instrument for Heart Monitoring
9. Rosemarie Day
B.S. 2017, UHart
Senior Project: Interior Automated Environmental Analyzer with App
Sponsored by iDevices, LLC, Avon, CT
Received the Best Senior Project Award
10. Willem Schauer and Tim Nguyen
B.S. 2017, UHart
Senior Project: Zero-Emission Electric Utility Vehicle
11. Janet Zapor and Esther Dronyi
B.S. 2017, UHart
Senior Project: Photoacoustic Imaging System for Medical Applications
12. Carl Mitchell
B.S. 2017, UHart
Senior Project: Hardware Cryptographically Secure Random Number Generator
13. Abdulrahman Almesfer
B.S. 2016, UHart
Senior Project: Automatic Sun Tracking System with Duo Solar Power Bank
Received the Best Senior Project Award