Guiling (Grace) Wang, PhD, CFA
Professor and Associate Dean for Research
Ying Wu College of Computing

Grace is currently a professor and the associate dean for research of Ying Wu College of Computing. She also holds a joint appointment at the Martin Tuchman School of Management. She joined NJIT in 2006 as an Assistant Professor and was promoted to full professor in 2016 in her 30s. She received her Ph.D. in Computer Science and Engineering and a minor in Statistics from The Pennsylvania State University in 2006. Her research in applied deep learning, blockchain technologies, intelligent transportation, and mobile computing has been highly recognized in the field and cited for over 4000 times by research articles according to Google Scholar.


  • 06/2020: Our paper "Generic Superlight Client for Permissionless Blockchains" is accepted by ESORICS 2020. Good job, Yuan!
  • 06/2020: Dr. Grace Wang is appointed to be the Associate Dean for Research of the YW College of Computing, starting from July 1 2020.
  • 05/2020: Xiaoyuan got the Best PhD Thesis Award of YWCC. Congratulations!
  • 05/2020: Our paper "Optimal Multi-Valued Validated Asynchronous Byzantine Agreement Revisited" is accepted by PODC 2020. Good job, Yuan!
  • 03/2020: Our paper "Dragoon: Private Decentralized HITs Made Practical" is accepted by ICDCS 2020. Good job, Yuan!
  • 11/2019: Our paper "A Deep Learning Model for Transportation Mode Detection Based on Smartphone Sensing Data" was accepted for publication in the IEEE Transactions on Intelligent Transportation Systems. You are welcome to use the transportation mode data we collected.
  • 05/2019: Our paper "Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval" has been accepted for publication in the proceedings of IJCAI 2019. Good job, Xiaoyuan!
  • 04/2019: Xiaoyuan accepted the offer of Facebook and will join the Machine Learning group as a Research Scientist this summer. Congratulations to both Xiaoyuan and FB! 😊
  • 04/2019: Our PhD alumni, Dr. Jie Tian, left Amazon and joined Facebook New York City site. Good luck in the new journey!
  • 01/2019: Our paper on A Deep Reinforcement Learning Network for Traffic Light Cycle Control is published at IEEE Transactions of Vehicular Technologies. Good job, Xiaoyuan!
  • 12/2018: Our paper on passenger demand prediction using deep neural network is accepted by SDM 2019. Good job, Xiaoyuan!
  • 09/2018: Our NSF EAGER proposal on Connected and Autonomous Vehicles Evaluation Platform is funded.
  • 07/2018: Grace presented a paper about blockchain’s application on crowdsourcing at ICDCS 2018 at Vienna, Austria.

To prospective PhD/Master students:

  • Always looking forward to working together with self-motivated students who are interested in (1) applied machine learning/deep learning in finance, transportation, health and other areas, (2) blockchain, and (3) IoT and mobile computing.

Email: Email
Phone: +1 (973) 596-5211
Office: Guttenberg Information Technology Center(GITC), Room 4309 (GITC is Building 28 on this campus map)

Surface mail:
Department of Computer Science
New Jersey Institute of Technology
218 Central Avenue
Newark, NJ 07102, U.S.A.