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Abstract

Hey everyone! I’m Teerapong Panboonyuen, but you can call me Kao. I’m passionate about building AI that drives meaningful impact. Currently, I’m a Senior AI Research Scientist at MARS (Motor AI Recognition Solution) and a Postdoctoral Fellow at Chulalongkorn University, where I earned my Ph.D. in Computer Engineering, specializing in advanced AI methodologies. My research focuses on pushing the boundaries of AI through transformer architectures, diffusion models, and generative adversarial networks (GANs), with a strong foundation in optimization theory, latent spaces, and stochastic processes. I’m especially drawn to applications in remote sensing and geospatial analysis, where I leverage deep learning techniques like CNNs and RNNs to uncover patterns in complex data. Beyond research, I love teaching machine learning and mentoring students on concepts like gradient descent, regularization, and the inner workings of deep learning frameworks. My mission is to blend rigorous mathematical principles with innovative problem-solving to create AI that tackles real-world challenges. Whether it’s exploring the potential of attention mechanisms in LLMs or enhancing predictive models with statistical optimization, I’m constantly seeking to expand what’s possible in AI. Let’s collaborate to build technology that inspires, solves problems, and makes a lasting difference!