Hello, my name is Hakan KARASU, a highly skilled Mechanical Engineer currently employed at the prestigious Korea Institute of Science and Technology (KIST) in Korea. Additionally, I am concurrently pursuing a master's degree at the renowned University of Science and Technology (UST). My research focuses on the cutting-edge utilization of deep learning methodologies, specifically leveraging convolutional neural networks and Gradient-weighted Class Activation Mapping (CBAM+GradCAM), to predict the efficiency of electrochemical systems. My unwavering commitment to machine learning and deep learning techniques is evident in my work.
Python
C
SOLIDWORKS
Matlab
Java
MS OFFICE
Report Writing
Exploring distant lands
Getting lost in a good book
Capturing moments
Feeling the music
Concept Development
Preprocessing of Data ( fitting, zero padding, denoising), Train deep learning model on dataset, Compute the Gradients of the Output from Last Convocational Neural Network with Respect Feature map, Generating Attention Map (Grad-CAM), Interpreting Attention Regions
Deciphering the Roots of Catalyst Degradation in Electrochemical Reduction Via Interpretable AI (AIChE ANNUAL MEETING-2023 | November 5 , 2023 Orlando, FL
Non-linear Catalyst Deactivation through Explainable Artificial Intelligence, Under Review, 04/2024