A. Furkan Guc

University of California, Merced

H-index: 5

North America-United States

About A. Furkan Guc

A. Furkan Guc, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at University of California, Merced, specializes in the field of Mechatronics, Robotics, Nonlinear Control, Machine Learning, System Identification.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Systematic Method for the Selection of Feedback Variables in MIMO RF Impedance Matching Systems

Smart Predictive Maintenance Enabled by Digital Twins and Physics Informed Smart Big Data

Sensor fault diagnostics using physics-informed transfer learning framework

Backlash quantification in control systems using noises with outliers: a benchmark study

Digital twin based interactive mechatronics lab development for remote lab offering and evaluation

Digital twins enabled remote laboratory learning experience for mechatronics education

Fault cause assignment with physics informed transfer learning

Nonlinear identification and optimal feedforward friction compensation for a motion platform

A. Furkan Guc Information

University	University of California, Merced
Position	___
Citations(all)	47
Citations(since 2020)	47
Cited By	1
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	1
i10Index(since 2020)	1
Email	Access Email
University Profile Page	University of California, Merced
Google Scholar	View Google Scholar Profile

A. Furkan Guc Skills & Research Interests

Mechatronics

Robotics

Nonlinear Control

Machine Learning

System Identification

Top articles of A. Furkan Guc

Title	Journal	Author(s)	Publication Date
A Systematic Method for the Selection of Feedback Variables in MIMO RF Impedance Matching Systems		Furkan Guc YangQuan Chen	2023/5/31
Smart Predictive Maintenance Enabled by Digital Twins and Physics Informed Smart Big Data		Furkan Guc YangQuan Chen	2022/10/24
Sensor fault diagnostics using physics-informed transfer learning framework	Sensors	Furkan Guc Yangquan Chen	2022/4/11
Backlash quantification in control systems using noises with outliers: a benchmark study		Furkan Guc YangQuan Chen	2022
Digital twin based interactive mechatronics lab development for remote lab offering and evaluation		Jairo Viola Furkan Guc YangQuan Chen Mauricio Calderon	2021/8/17
Digital twins enabled remote laboratory learning experience for mechatronics education		Furkan Guc Jairo Viola YangQuan Chen	2021/7/15
Fault cause assignment with physics informed transfer learning	IFAC-PapersOnLine	Furkan Guc YangQuan Chen	2021/1/1
Nonlinear identification and optimal feedforward friction compensation for a motion platform	Mechatronics	Ahmet Furkan Guc Zafer Yumrukcal Onur Ozcan	2020/11/1