Akhan Almagambetov

Akhan Almagambetov’s passion for design and engineering began in an unexpected place: childhood visits to IKEA. He was drawn to the thoughtful design, efficiency and accessibility of furniture that combined form and function and reached homes around the world. Those early experiences sparked a lasting interest in how purposeful design can shape everyday life.

He earned his Ph.D. in Electrical Engineering from Syracuse University, where he developed strong expertise in systems design and analytical problem-solving. In addition to his formal research, he maintains a personal interest in design and data visualization, viewing both as powerful tools for communicating complex technical ideas.

At Embry-Riddle, Almagambetov teaches and conducts research in agricultural automation. His work integrates embedded systems, machine learning and computer vision to develop intelligent technologies that improve efficiency and performance in modern agricultural applications.

And yes- he still likes IKEA furniture.

AE 299: Special Topics in Aerospace Engineering

EE 223: Linear Circuits Analysis I
EE 299: Advanced Linear Circuits (Ross)
EE 302: Electronic Devices and Circuits
EE 304: Electronic Circuits Lab
EE 335: Electrical Engineering I

EGR 115: Introduction to Computing for Engineers

ES 399: Heat Transfer with Peltier Cells (Powell, Serratos)

CEC 220: Digital Circuit Design
​CEC 222: Digital Circuit Design Lab
CEC 495A : Computer Vision and Image Processing
CEC 499: Virtual Reality Interfacing (Eberhart, McBurnett, Whitaker)
CEC 499: HMI with OBD (Denemark)
CEC 499: Energy Conversion using BLDC Motors (Fenner)
CEC 499: Advanced Computer Vision for Aerial Applications (Ma, Schneider, Susendran)

CS 199: Introduction to OpenCV (Thomas)
CS 499: Theory of Computation (Van Deren)

Z. Maksut, D. Fedorov, A. Yazici, A. Almagambetov, B. Grossan, and M. Shafiee, “Superconducting Microresonator Signal Denoising Using Machine Learning,” IEEE Trans. on Appl. Superconductivity, vol. 35, no. 2, Mar. 2025.

T. Toregozhin, M.H.N. Shaikh, A. Almagambetov, and G. Nauryzbayev, “Performance of STAR-RIS-aided cooperative NOMA networks under Nakagami-m fading,” Ad Hoc Networks, vol. 156, Apr. 2024.

A. Almagambetov and M. Pavlina, Digital Circuit Design Laboratory Manual, 1st-6th ed. Prescott, AZ: 2020.

A. Almagambetov, S. Velipasalar, and A. Baitassova, "Mobile computer vision-based traffic light detection in assistive devices for individuals with color vision deficiencies," Intelligent Transportation Systems (ITS), IEEE Trans., vol. 16, no. 3, pp. 1305–20. Jun. 2015.

A. Almagambetov, S. Velipasalar, and M. Casares, "Autonomous tracking of vehicle taillights and the detection of alert signals by embedded smart cameras," Industrial Electronics (IE), IEEE Trans., vol. 62, no. 6, pp. 3732–41. Jun. 2015.

A. Almagambetov and S. Velipasalar, "Autonomous tracking of vehicle taillights and alert signal detection by embedded smart cameras," in Distributed Embedded Smart Cameras: Architectures, Design and Applications, 1st ed. New York, NY: Springer-Verlag, 2014.

A. Almagambetov, "Toward computationally lightweight stationary and mobile computer vision-based traffic surveillance for assistive devices in intelligent transportation systems," Ph.D. dissertation, Dept. Elect. Eng. and Comp. Sci., Syracuse Univ., Syracuse, NY, 2013.

Patents

A. Almagambetov and H. Ross, “Bit-serial multiplier for FPGA applications,” U.S. Patent 10,275,219 B2 (30 Apr 2019).

S. Velipasalar, A. Almagambetov, and M. Casares, “Automatic detection by a wearable camera,” U.S. Patent 9,571,723 B2 (14 Feb 2017), U.S. Patent 10,306,135 B2 (28 May 2019).

S. Costa, A. Almagambetov, and L. Wyatt, “A distributed, parallel system for the automated grading and review of computer programming projects,” U.S. Provisional App. 62/168,719