Seçkin Karasu is an Assistant Professor in the Department of Electrical-Electronics Engineering at Zonguldak Bülent Ecevit University, Turkey. He earned his B.Sc., M.Sc., and Ph.D. from the same institution, specializing in power quality analysis and advanced control systems. His doctoral research focused on the two-dimensional Riesz transform algorithm for power quality determination, and his master’s thesis explored oscillation analysis in crane systems using image processing and input shaping control.
With a career spanning research and academia since 2012, Dr. Karasu has contributed to numerous national projects, including AI-based autonomous agricultural robots, deep learning applications for robotic arms, and power quality analysis. He has authored over a dozen international journal articles and presented at various conferences, with research interests in machine learning, signal processing, and renewable energy forecasting. Recognized as one of the top 2% scientists worldwide by Stanford University and Elsevier (2022–2024), he has received multiple awards, including publication incentives from ULAKBIM and a third-place award at TEKNOFEST 2022. Dr. Karasu is also an active reviewer for prestigious journals like Chaos, Solitons & Fractals and Digital Signal Processing.
Seçkin Karasu is an Assistant Professor in the Department of Electrical-Electronics Engineering at Zonguldak Bülent Ecevit University, Turkey. He earned his B.Sc., M.Sc., and Ph.D. from the same institution, specializing in power quality analysis and advanced control systems. His doctoral research focused on the two-dimensional Riesz transform algorithm for power quality determination, and his master’s thesis explored oscillation analysis in crane systems using image processing and input shaping control.
With a career spanning research and academia since 2012, Dr. Karasu has contributed to numerous national projects, including AI-based autonomous agricultural robots, deep learning applications for robotic arms, and power quality analysis. He has authored over a dozen international journal articles and presented at various conferences, with research interests in machine learning, signal processing, and renewable energy forecasting. Recognized as one of the top 2% scientists worldwide by Stanford University and Elsevier (2022–2024), he has received multiple awards, including publication incentives from ULAKBIM and a third-place award at TEKNOFEST 2022. Dr. Karasu is also an active reviewer for prestigious journals like Chaos, Solitons & Fractals and Digital Signal Processing.