Education
Prof. Dr. Pengfei Du earned his Doctor of Engineering (Ph.D.) in Computer Science and Technology from the School of Cyberspace Security at Beijing University of Posts and Telecommunications, focusing on multimodal understanding, LLM safety, AI agents, and sentiment computing. His dissertation, “Key Technologies for Multimodal Content Safety Recognition,” reflects his pioneering work in advancing trustworthy AI. He holds a Master of Engineering in Software Engineering from Beihang University, where he conducted research on multimodal analysis, data security, and distributed computing systems. He also completed his Bachelor’s degree in Computer Science and Technology from Hubei University, building a strong foundation in distributed systems, data structures, and algorithm design.
Experience
Prof. Dr. Pengfei Du professional journey reflects a rare blend of academic excellence and industry leadership. He currently serves as an Algorithm Expert and Post-Doctoral Fellow at the China Aerospace Science & Industry Corporation, where he leads advanced research on LLM-based algorithms for satellite image steganalysis and automated red-teaming solutions for LLM prompt-injection defense. Previously, he worked as Project Lead at Yanshu Technology and Jinxin Technology, overseeing multimodal AI products, including intelligent customer-service platforms, AI interviewers, and digital-human live-streaming systems. At CETC Cloud Innovation Lab, he designed LLM-driven data loss prevention and zero-trust solutions for government cloud systems, while at Sina Weibo, he directed large-scale content safety architectures for over 500 million users, developing advanced hate-speech detection, fake-news filtering, and deepfake identification systems. Earlier in his career, he co-founded EmoKit, an affective computing startup, successfully raising significant funding and winning global innovation awards. His diverse experience also includes key roles at NSFOCUS, Digital China, 263 NetEase Technology, and other leading enterprises, where he consistently drove innovation and technical excellence.
Research Interests
Prof. Dr. Pengfei Du’s research interests lie at the intersection of artificial intelligence, cybersecurity, and multimodal systems. His work focuses on large language models, trustworthy AI, multimodal content safety, machine learning interpretability, and secure AI-driven business solutions. He is passionate about solving real-world challenges, such as detecting misinformation, improving digital trust, and enabling secure data-driven applications across industries. His ongoing projects explore multimodal fusion techniques, LLM-driven vulnerability discovery, and AI-powered medical knowledge graph construction, bridging academia and industry to advance next-generation intelligent systems.
Award
Prof. Dr. Pengfei Du’s remarkable contributions have been recognized through numerous prestigious awards and honors. He has received the Slush World Global Champion Award for innovative AI solutions, the Tsinghua H+Lab Global Happiness Tech Challenge Champion Award for pioneering affective computing technologies, and the National Youth AI Innovation & Entrepreneurship Award for impactful AI-based business solutions. Additionally, he has earned multiple Sina Weibo Micro-Innovation Awards for his leadership in designing large-scale content safety systems, the ACM Multimedia Top-20 Recognition for outstanding AI research, and the Software Journal Excellent Paper Award for excellence in scientific publishing.
Publication Top Notes
SGAMF: Sparse Gated Attention-based Multi-modal Fusion Method for Fake News Detection
Towards an Intrinsic Interpretability Approach for Multimodal Hate-SpeechDetection
Bi-attention Modal Separation Network for Multimodal Video Fusion
Survey on Multimodal Vision-Language Representation Learning Journal of Software
RALTOR: Robust Active Learning via Transfer Learning and Outlier Removal
Conclusion
Prof. Dr. Pengfei Du is a visionary researcher, innovative leader, and accomplished technologist whose contributions have significantly advanced the fields of artificial intelligence, multimodal systems, and cybersecurity. Through his extensive research, industry leadership, and collaborative projects, he continues to shape the future of intelligent technologies while fostering innovation that benefits academia, industry, and society. His impactful body of work, globally recognized achievements, and dedication to excellence make him an outstanding nominee for prestigious research awards.