Hsien-De Huang (also known as TonTon), is a seasoned professional with over a decade of expertise in Cyber-Security and Artificial Intelligence. His extensive skill set encompasses image recognition, natural language processing, speech processing, and cyber-security, with a focus on x86/Android malware analysis. His career includes the presentation of numerous research papers and patent applications at international cybersecurity conferences, including Defcon AI Village, OWASP AppSec USA, RuxCon, and HITCON. While managing a full-time career, he pursued and completed his Ph.D. in Computer Science and Information Engineering at National Cheng Kung University. His doctoral thesis, titled "Deep Learning-based Anomaly Analysis in Cyber Threats," explores novel approaches in the field. He is also the founder of Taiwan's pioneering artificial intelligence meetup, Deep Learning 101, dedicated to fostering innovation, knowledge-sharing and problem-solving in these dynamic fields.