DK is an Assistant Professor in the CS Department at North Carolina State University and leads the NCSU Efficient & Intelligent Computing Lab. His research interest is resource-efficient deep learning for AI at scale, investigating how to improve the efficiency of deep learning systems to achieve Pareto optimality between computing resources and model performance. DK’s research has been published multiple times in top conferences and journals in AI, NLP, and other fields. He serves as the Column Editor for ACM SIGAI Newsletter, and will chair The First Workshop on DL-Hardware Co-Design for AI Acceleration with AAAI 2023. He has served as session chair for New Deep Learning Architectures, and for Scalable & Trustable AI at KDD 2022, and has served as a (senior) PC member and regular reviewer for over 30 major conferences and 16 journals. In addition, he has launched the Machine Learning Algorithms & Natural Language Processing community. DK also has extensive research experience in the industry. He has interned at Microsoft Research Redmond, Moffett AI, and NEC labs America, and holds 9 US patents/applications. DK's long-term research goal is to democratize AI to serve a broader range of populations and domains.

Research Areas

  • Artificial Intelligence and Intelligent Agents


  • The Pennsylvania State University, PA, USA, 2022
  • University of Chinese Academy of Sciences, Beijing, China, 2017
  • Renmin University of China, Beijing, China, 2014

CSC Spring Courses

  • CSC 422-002 LEC Auto Lrn Data Anly   Th 6:00pm-8:45pm   Room: 2240 Engineering Building 3


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