• May 13, 2020
    My research proposal “Students’ mobility patterns on campus and the implications for the recovery of campus activities post-pandemic” has been selected (7 out of 49 submissions) for funding through the MIDAS Propelling Original Data Science (PODS) program for a COVID-19 mini-grants

  • May 4, 2020
    My study “Exploring homophily in demographics and academic performance using spatial-temporal student networks”, has been accepted as a full paper at the 13th International Conference on Educational Data Mining (EDM) 2020.

  • Mar 22-27, 2020
    I am looking forward to presenting my research paper and an on-going workshop paper in temporal network analysis at LAK20 in Frankfurt, Germany. Update: the conference was held virtually.

  • Jan 17th, 2020
    I am excited to give a talk “Using Temporal Analytics to Detect Inconsistencies Between Learning Design and Student Engagement” at the LINK research lab, University of Texas Arlington, USA

  • Jan 7th, 2020
    I was invited to deliver a workshop on Temporal and Sequential analysis at the Learning Analyis Summer Institute (LASI20) in New York, USA.

  • Dec 4th, 2019
    I have successfully defended my dissertation and got awarded a PhD!

  • Nov 8th, 2019
    I am giving a talk at the AIM series, Center of Academic Innovation, UMich.

  • Oct 8th, 2019
    I am excited to start my postdoc at the School of Information, UMich. I will be working in the Educational Technology Collective lab, led by Dr. Chris Brooks. I am looking forward to collaborating with many brilliant learning analytics researchers and practitioners at University of Michigan!

  • Sep 19th, 2019
    I am thrilled(and relief) to have submitted my Ph.D. thesis!

  • Jun 14th, 2019
    I am glad to receive the Erik Duval travel scholarship to attend the Learning Analytics Summer Institute (LASI) in Vancouver, Canada, hosted by UBC and SFU. Beautiful weather!

Recent & Upcoming Talks

Learning analytics has the potential to make the temporal dimensions of learning processes more visible using fine-grained proxies of …