Card image cap


Haifeng Chen

NEC Laboratories America
4 Independence Way
Princeton, NJ 08540
Email: myfirstname@nec-labs.com

About Myself

I lead the Data Science and Systems Security Department at NEC Laboratories America in Princeton, New Jersey. My team and I are dedicated to pioneering both fundamental and applied research in cutting-edge areas such as big data analytics, generative AI, and system and software security. Our work encompasses a diverse range of topics, including:

  • Modeling time-series data and system dynamics
  • Developing Large Language Models (LLMs) and foundation models
  • Enhancing the reasoning, self-improvement, and autonomy of AI agents
  • Leveraging AI for security as well as ensuring security for AI

I have co-authored approximately 200 peer-reviewed publications in top-tier venues, earning multiple best paper awards including the Best Paper Runner-Up at SIGKDD 2016. With over 150 granted patents, my work has led to pioneering innovations across diverse fields. My leadership in research has driven the deployment of innovative solutions across a wide range of industrial domains, including data centers and cloud, power plants, satellite and space systems, natural disaster management, and healthcare. Notably, one of the technologies I contributed to has been recognized as a candidate to assist NASA's Artemis Mission. These contributions have earned me multiple awards including NEC Corporation’s highest honor, the NEC Contributors of the Year in 2014, and the NEC Best Value Award in 2024.

News

πŸ§‘β€πŸ€β€πŸ§‘ 12/1/2025: Our team is offering several internship positions for 2026 summer. If interested, please submit your application through our career center.

πŸ§‘β€πŸ€β€πŸ§‘ 11/27/2025: Our team is actively seeking high-profile researchers specializing in generative AI and system/software security. If interested, we invite you to submit your CV and research statement via our career center.

🎀 11/20/2025: I delivered an invited talk titled "Advancing LLM Intelligence: Uniting Internal Reasoning and External Tool Interactions" at the Department of Computer Science, University of Colorado Boulder.

❇️ 10/12/205: We are pleased to announce the AAAI'26 Workshop on "AI4TS: AI for Time Series Analysis" and invite you to submit your research papers.

πŸŽ‰ 9/18/2025: Five papers have been accepted in NeurIPS 2025

πŸ›οΈ 8/3/2025: Please attend our tutorial "Multi-Modal Time Series Analysis" at SigKDD 2025