Dr. Saeed Najafi Khanbebin

EDUCATION

• Ph.D., Electronics, Lorestan university, (2018-2023)

Dissertation: Analyzing facial images using feature extraction methods and deep learning

Google Scholar: ‪Saeed Najafi Khanbebin - ‪Google Scholar

ORCID: https://orcid.org/0000-0002-2937-6330

• Computer vision
• Image processing
• Video processing
• Face recognition and biometrics
• Facial expression recognition
• Medical image analysis
• Deep learning in computer vision

• S. N. Khanbebin and V. Mehrdad, “Local improvement approach and linear discriminant analysis-based local binary pattern for face recognition,” Neural Comput. Appl., pp. 1–17, 2020.
• S. N. Khanbebin and V. Mehrdad, “Genetic-based feature fusion in face recognition using arithmetic coded local binary patterns,” IET Image Process., 2020.
• Najafi Khanbebin, S., & Mehrdad, V. (2026). Lightweight attentional convolutional capsule network for facial expression recognition. Multimedia Tools and Applications, 85(3), 231
• Khanbebin SN, Mehrdad V (2022) Improved convolutional neural network-based approach using hand-crafted features for facial expression recognition. Multimed Tools Appl 1–17. http://dx.doi.org/10.1007/s11042-022-14122-1

( in Persian)

• نجفی خان به بین، سعید و مهرداد، وحید،1398،استخراج ویژگی تصاویر چهره مبتنی بر محاسبه ی همسایگی ها در الگوهای دودویی محلی بیضوی،سومین کنفرانس ملی فناوریهای نوین در مهندسی برق و کامپیوتر،اصفهان،
• نجفی خان به بین, سعید و مهرداد, وحید,1401,بهبود شبکه عصبی کانولوشنی براساس الگوریتم فراابتکاری به منظور شناسایی حالات چهره, پنجمین کنفرانس ملی فناوری های نوین در مهندسی برق و کامپیوتر,اصفهان،

• Research project titled "Developing an efficient method to determine the exact time of injury in individuals referred to the Lorestan Province Legal Medicine Organization (using deep learning)," in collaboration with the Lorestan Province Legal Medicine Organization.

• Member of the research team for the project to develop an online pest monitoring system using pheromone traps.

Book Chapter

Artificial Intelligence in Mechatronics and Civil Engineering : Bridging the gap.

1. : 9789811987892

Chapter title:

• Khanbebin, Saeed Najafi, and Vahid Mehrdad. "Machine Learning in Mechatronics and Robotics and Its Application in Face-Related Projects." In Artificial Intelligence in Mechatronics and Civil Engineering: Bridging the Gap, pp. 235-247. Singapore: Springer Nature Singapore, 2023.

Electronics I

Electronics II

Signals and systems

Logic Circuits

Microcontroller systems

Principles of communication systems

Artificial intelligence and digital transformation

Applications of AI and digital transformations (Msc)

Electronics lab

Logic circuits lab

circuit and measurement lab

Microprocessor and assembely language