Hamid Karimi

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I am a Ph.D. Candidate of Computer Science at the Department of Computer Science and Engineering (CSE) at Michigan State University (MSU) and a member of the Data Science and Engineering (DSE) lab. My main research interest is in artificial intelligence (AI) for social good and focus on several exciting directions, including AI in education, computational politics, and misinformation detection. I have published many papers in the top conferences and journals on social network analysis, machine learning, and education. I have received several awards, including the best paper award for our paper at IEEE-ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018); Outstanding Graduate Student Service Award (2019); Dissertation Completion Award (2020); and several others. Moreover, I am an active member of the Teachers in Social Media Project at MSU, where I utilize my computational skills and develop data mining and machine learning algorithms to improve the quality of PK-12 education.

Email: karimiha at msu dot edu

Office: Engineering Building 3308 (now online)

I will be joining the Department of Computer Science at Utah State University (USU) as an Assistant Professor (tenure-track) in the Fall 2021.

If you are interested in working with me, please refer to here

News

  • 03.28.2021. Received Student Scholarship of 2021 The Web Conference

  • 12.08.2020. Awarded MSU Dissertation Completion Fellowship

  • 05.05.2020 Our paper “Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network” got accepted to ducational Data Mining (EDM) 2020.

  • 04.28.2020 We will present or paper “Characterizing Teacher Connections in Online SocialMedia: A Case Study on Pinterest” at Learning at Scale (L@S) 2020.

  • 04.22.2020 Our paper “Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest” got accepted to AIED (AI in Education) 2020.

  • 12.26.2019 Our paper “Characterizing the Decision Boundary of Deep Neural Networks” is on Arxiv now. PDF

  • 06.19.2019 Our paper got accepted in ASONAM2019 conference. Hamid Karimi, Tyler Derr (co-first authors), Aaron Brookhouse, and Jiliang Tang, Multi-Factor Congressional Vote Prediction.

  • 05.20.2019 Started my internship at Dataminr

  • 03.25.2019 Our paper got accepted in Teachers College Record journal. Hamid Karimi, and Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, and Jilaing Tang “A Roadmap for Incorporating Online Social Media in Educational Research”.

  • 03.21.2019 We received the best poster award in the MSU Engineering Symposium 2019 for our work: “Learning Hierarchical Discourse-level Structure for Fake News Detection”

  • 02.22.2019. Our paper, “Learning Hierarchical Discourse-level Structure for Fake News Detection”, got accepted to NAACL-HLT 2019, Minneapolis, USA.

  • 02.13.2019. I received the Outstanding graduate student service award from the Department of Computer Science and Engineering

  • 11.29.2018. I presented EnSURE program and undergrad research opportunities to Engineering grad students in a lunch and learn session

  • Our paper was received the best paper award of IEEE/ACM ASONAM 2018 conference.

  • I won the MSU Engineering Leadership Fellowship for 2018-2019.

  • One paper got accepted to COLING2018. Hamid Karimi, Proteek Roy, Sadiya Sari and Jiliang Tang. Multi-Source Multi-Class Fake News Detection.

  • Two papers got accepted to ASONAM2018.