Dr Vlad Mihai Mihaly,Technical University of Cluj-Napoca, Romania
Vlad Mihai Mihaly is a dedicated researcher and educator based in Sighişoara, Romania. He currently serves as a Teaching Assistant at the Technical University of Cluj-Napoca, specializing in System Theory and Identification. With a background spanning from software engineering at Robert Bosch GmbH to deep learning engineering at Devtel Software House, Vlad has honed his expertise in machine learning and signal processing applications. He holds a PhD in System Engineering and has excelled academically, achieving valedictorian status in both his Master’s and Bachelor’s degrees. Beyond academia, Vlad is deeply involved in mathematical education, having contributed to national and international Olympiads. His research interests lie in robust control synthesis and fractional-order systems.
Publication Profile
Orcid
Education
Vlad Mihai Mihaly earned his PhD in System Engineering from the Technical University of Cluj-Napoca, Romania, focusing on Fixed Structure Robust Synthesis for Nonlinear Systems. He graduated as valedictorian from both his Master’s in Advanced Process Control and Bachelor’s in Systems Engineering at the same institution. Prior to his academic achievements, Vlad completed his Mathematics and Computer Science diploma at the “Mircea Eliade” National College in Sighişoara, Romania. His academic journey reflects a commitment to excellence and innovation in control systems and automation.
Experience
Vlad Mihai Mihaly’s professional journey encompasses diverse roles in academia and industry. Currently a Teaching Assistant at the Technical University of Cluj-Napoca, he instructs courses in System Theory and Identification. He previously served as a Deep Learning Engineer at Devtel Software House, specializing in embedded applications for machine learning and signal processing. At Robert Bosch GmbH, Vlad contributed to autonomous driving technology, enhancing path detection algorithms through sensor fusion. His managerial experience includes leading educational initiatives at LEARNHOUSE and contributing to the National Mathematical Olympiad Committee. Vlad’s versatile career underscores his expertise in automation, control systems, and mathematical education.
Awards and Honors
Vlad Mihai Mihaly’s achievements include Best Student Paper at the RAAD2024 conference and a Gold Medal at the SEEMOUS competition. He has been recognized for his contributions to mathematical olympiads, winning accolades such as the Second Prize at the Open International Internet Mathematical Olympiad and multiple medals at the SEEMOUS and National Mathematical Olympiad competitions in Romania. Vlad’s dedication to excellence in research and education has earned him valedictorian honors in both his Master’s and Bachelor’s degrees at the Technical University of Cluj-Napoca. His academic prowess and commitment to advancing control systems and automation underscore his impact in the field.
Research focus
Vlad Mihai Mihaly’s research focuses on robust control synthesis, particularly in fixed structure designs for nonlinear systems. His work explores applications of fractional-order controllers and passivity-based approaches in improving system stability and performance. Vlad has contributed significantly to the field, with publications such as “Passivity of Linear Singularly Perturbed Systems” in IEEE Control Systems Letters and “Robust numeric implementation of the fractional-order element” in the Journal of the Franklin Institute. His research also spans areas like optimal sampling rate selection and controller design for mechatronic systems. Vlad’s contributions reflect a deep commitment to advancing control theory and its practical applications, particularly in enhancing the efficiency and robustness of engineering systems.
Publication Top Notes
Passivity of Linear Singularly Perturbed Systems
Robotic Platform for Position Control of a Ball
Robust numeric implementation of the fractional-order element
Sampling rate selection for multi‐loop cascade control systems in an optimal manner
Cascade Control for Two-Axis Position Mechatronic Systems
Sensitivity Analysis of Krasovskii Passivity-Based Controllers
Sampling Rate Optimization and Execution Time Analysis for Two-Degrees-of-Freedom Control Systems
μ-Synthesis FO-PID for Twin Rotor Aerodynamic System
Krasovskii Passivity and μ-Synthesis Controller Design for Quasi-Linear Affine Systems