I am a passionate researcher specializing in Artificial Intelligence and deep learning, currently pursuing a Ph.D. in Electrical Engineering at National Cheng Kung University. My main research interests include medical image analysis, federated learning, semi-supervised learning, generative models, and genetic algorithms for model optimization. I am dedicated to leveraging advanced AI techniques to solve real-world challenges in healthcare, safety, and automation.

• Programming: Python, Shell
• AI/ML Frameworks: PyTorch, TensorFlow, Caffe
• Specialties: Deep Learning, Medical Imaging, Federated Learning, Genetic Algorithms, Computer Vision
• Languages: Chinese (Mandarin) (Native), English

AI-powered drowning detection system using skeletal joint node extraction and recursive neural networks.

• Awarded second place in a university-wide competition.
• Patent secured in Taiwan for the intelligent image recognition drowning warning system.

Deep learning-based cell instance segmentation for biomedical images.

• Focus on handling challenges like annotation difficulties and scanner-induced color variation.
• Application of semi-supervised and generative models in medical imaging.

Automated nurse scheduling using genetic algorithms.

• Research on optimization techniques for complex real-world rostering problems.
• Emphasis on robust and efficient AI-driven decision support.

• Att-YOLOv5: An YOLOv5 Optimization based on Attention Module for Ballooning Degeneration of Hepatocytes Detection (TAAI 2023)
• Research on Automatic Inspection of Abnormal Capsule Appearance (CVGIP 2023)
• Research and Analysis on the Application of Artificial Intelligence Image Processing Technology in Gear Inspection (CVGIP 2022)
• Deep Learning used to Recognition Swimmers Drowning (IEEE/ACIS SNPD 2021-Fall)
• Patent: Intelligent Image Recognition Drowning Warning System, R.O.C. Patent I790715

More publications in my profile →

• Ph.D. in Electrical Engineering (Expected 2026)
  National Cheng Kung University, Taiwan
• M.S. in Computer Science and Information Engineering (2020)
  National Chin Yi University of Technology, Taiwan
• B.S. in Computer Science and Information Engineering (2018)
  National Chin Yi University of Technology, Taiwan

• Email: allensa119625@gmail.com
• Location: Nantou County, Taiwan

"Passionate about increasing knowledge to drive growth and needed improvements. Ready to apply knowledge and years of experience in research to solve real-world challenges through AI."