Full-Time Faculty, ECE department at University of Tabriz, Iran
Dr. Yashar Sarbaz is a distinguished Iranian researcher specializing in biomedical engineering, with a focus on neurodegenerative disease modeling. Born on May 20, 1981, in Tabriz, Iran, he has consistently demonstrated academic excellence and a profound commitment to advancing medical science through interdisciplinary approaches. Dr. Sarbaz’s work integrates bioelectric engineering, control systems, and computational neuroscience, aiming to develop innovative solutions for complex neurological disorders. His extensive research has significantly contributed to the understanding and potential treatment of diseases such as Parkinson’s and Huntington’s.
Professional Profile
Education
Dr. Sarbaz’s academic journey commenced at the University of Tabriz, where he earned his Bachelor of Science in Electronic Engineering in 2002, graduating at the top of his class with a GPA of 17.44/20. He then pursued a Master of Science in Control Engineering at Sharif University of Technology, completing his degree in 2004 with a GPA of 18.19/20 and again ranking first in his class. His master’s thesis focused on modeling Parkinson’s disease and its treatment. In 2011, Dr. Sarbaz obtained his Ph.D. in Bioelectric Engineering from Amirkabir University of Technology. His doctoral research, titled “Modeling Parkinson Disease Using Chaotic Theory,” showcased his ability to apply complex mathematical frameworks to biomedical challenges, reflecting his interdisciplinary expertise.
Professional Experience
Dr. Sarbaz’s professional career began as a teaching assistant in the Department of Electrical Engineering at the University of Tabriz from 1998 to 2002. He continued in this role at Sharif University of Technology between 2002 and 2004, concurrently serving as a research assistant. From 2004 to 2006, he was a member of the academic staff at Sahand University of Technology. In 2005, he contributed as the Vice Scientific Committee Chair for the 12th Iranian Conference on Biomedical Engineering. Following his Ph.D., Dr. Sarbaz held teaching positions at Azad Islamic University and later returned to Sahand University. Since 2012, he has been a faculty member in the Department of Emerging Technologies at the University of Tabriz, where he continues to engage in teaching and research.
Research Interests
Dr. Sarbaz’s research interests are diverse and interdisciplinary, encompassing the modeling and simulation of biological systems, particularly neural diseases. He is proficient in system identification, the design of compensators and controllers, and the development of electronic circuits. His expertise extends to chaos theory, evolutionary and genetic algorithms, neural networks, and optimization techniques. Dr. Sarbaz is also deeply involved in electrophysiology and computational neuroscience, focusing on the design of rehabilitation systems. His work aims to bridge the gap between engineering and medicine, utilizing advanced computational methods to address complex biomedical challenges.
Research Skills
Dr. Sarbaz possesses a robust set of research skills that align with his interdisciplinary interests. He is adept at mathematical modeling and simulation of biological systems, employing system identification techniques to understand and predict system behaviors. His proficiency in designing electronic circuits and control systems is complemented by his application of chaos theory to model complex physiological phenomena. Dr. Sarbaz utilizes evolutionary and genetic algorithms for optimization problems and applies neural network methodologies to interpret complex data patterns. His skills in electrophysiology and computational neuroscience are instrumental in developing innovative rehabilitation systems and advancing the understanding of neural disorders.
Awards and Honors
Throughout his academic and professional career, Dr. Sarbaz has been recognized for his contributions to biomedical engineering and neuroscience. He consistently graduated at the top of his class during his academic pursuits, reflecting his dedication and excellence. His role as Vice Scientific Committee Chair at the 12th Iranian Conference on Biomedical Engineering in 2005 highlights his leadership within the scientific community. While specific awards and honors are not detailed in the provided information, Dr. Sarbaz’s extensive publication record and active participation in academic conferences underscore his respected status in his field.
Conclusion
Dr. Yashar Sarbaz exemplifies a commitment to advancing biomedical engineering through interdisciplinary research and education. His academic excellence, professional experience, and diverse research interests have positioned him as a leading figure in the modeling and treatment of neurodegenerative diseases. Dr. Sarbaz’s work not only contributes to the scientific understanding of complex neurological disorders but also holds promise for developing innovative therapeutic strategies. His dedication to integrating engineering principles with medical research continues to inspire and drive progress in the biomedical field.
Publication Top Notes
-
A robust method for Parkinson’s disease diagnosis: Combining electroencephalography signal features with reconstructed phase space images
- Author(s): Farnaz F. Garehdaghi, Yashar Y. Sarbaz
- Year: 2025
-
Cortical complexity alterations in motor subtypes of Parkinson’s disease: A surface-based morphometry analysis of fractal dimension
- Author(s): Yousef Y. Dehghan, Yashar Y. Sarbaz
- Year: 2024
-
The influence of mental calculations on brain regions and heart rates
- Author(s): Morteza M. Jafari Malali, Yashar Y. Sarbaz, Sepideh S. Zolfaghari, Armin A. Khodayarlou
- Year: 2024
- Citations: 1
-
EEG-based classification of Alzheimer’s disease and frontotemporal dementia: a comprehensive analysis of discriminative features
- Author(s): Mehran M. Rostamikia, Yashar Y. Sarbaz, Somayeh S. Makouei
- Year: 2024
- Citations: 2
-
Extracting brain behavior change in patients with migraine by quantitative analysis of electroencephalogram signal of patients compared to healthy people
- Author(s): Yashar Y. Sarbaz, Farnaz F. Garehdaghi, Saeed S. Meshgini
- Year: 2024