SERGIYENKO, OLEG
INGENIERÍA · Nivel 3
Desde 2005 es Head of Applied Physics Department en Universidad Autonoma de Baja California
Oleg Yu. Sergiyenko received the B.S., and M.S., degrees in Kharkiv National University of Automobiles and Highways, Kharkiv, Ukraine, in 1991, 1993, respectively. He received the Ph.D. degree in Kharkiv National Polytechnic University on specialty “Tools and methods of non-destructive...
Oleg Yu. Sergiyenko received the B.S., and M.S., degrees in Kharkiv National University of Automobiles and Highways, Kharkiv, Ukraine, in 1991, 1993, respectively. He received the Ph.D. degree in Kharkiv National Polytechnic University on specialty “Tools and methods of non-destructive control” in 1997. He received the Doctor of Science (DSc) degree in Kharkov National University of Radio-electronics in January, 2018. In March 1997, he joined the Kharkiv National University of Automobiles and Highways. He has written 119 papers and holds 2 patent of Ukraine and 1 patent in Mexico; currently he is reviewer for IEEE Transaction on Industrial Electronics, IEEE Transaction on Mechatronics, several journals of Elsevier in area of electric and electronic engineering, etc.; he participates as reviewer and section chair in several IEEE conferences in Japan, USA, UK, Italy, Austria, Canada, etc. In December 2004 was invited by Engineering Institute of Baja California Autonomous University for researcher position. He is currently Head of Applied Physics Department of Engineering Institute of Baja California Autonomous University, Mexico. His scientific interests are in automated metrology & smart sensors, control systems, robot navigation, 3D coordinates measurement.
| Nombre | OLEG SERGIYENKO |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | INGENIERÍA |
| Disciplina | INGENIERÍA ELECTRÓNICA |
| Especialidad | INGENIERIA ELECTRICA |
| CVU | 123174 |
| Institución | |
|---|---|
| Dependencia | SIN INFORMACIÓN |
| Entidad | BAJA CALIFORNIA |
| Nivel | 3 |
| Vigencia | Inicio: 01/01/2024 |
| Fin: 31/12/2028 |
Publicaciones ORCID
- 2026
- Leveraging Dual Deep Learning and Grade-Shift Algorithm for Intelligent Coin Grading Journal on Computing and Cultural Heritage
- Methods and algorithms for autonomous navigation of a mobile ground robot group Radiotekhnika
- Fiducial-less registration framework for multisensor point cloud fusion of laser scanning and stereo vision for autonomous mining tunnel inspection Measurement
- Application of Information Theory to Computer Vision and Image Processing II Entropy
- Transfer learning for assessing Parkinson’s disease: Analysis of wrist-worn sensors data and time-series imaging Measurement
- Moving Object Tracking with a Kalman Filter as a Virtual Sensor in Robotino
- Self-adjusting Autonomous Passive Robot for Ecological Monitoring of Water Masses
- 2025
- ESP32-Powered PPG Signal Acquisition: Open-Source Hardware and Software for Research and Education Hardware
- Enhancing 3D coordinate measurements in laser scanner by friction compensation Precision Engineering
- Vision-Based Characterization of Gear Transmission Mechanisms to Improve 3D Laser Scanner Accuracy Metrology
