Updates
Recent Updates
[2024-06-11] One of our papers got accepted at DSAA
[2024-07-11] Defended PhD Dissertation titled "Hypergraph Learning: Algorithms to Applications"
[2024-06-11] One of our papers got accepted at IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[2024-05-31] Gave a talk and hands-on tutorial on "Graph Representation Learning, GNNs, their variants and applications" @ NSF-funded REU summer research program.
[2024-05-27] One of our papers got accepted at ECML PKDD'24
[2024-05-28] Project Coordinator for the "NSF REU Site: Multidisciplinary Graph Data Analytics". In this role, I coordinate 10 students and mentor 2 of them in their summer research projects
[2024 May] Area Chair ICML'24-AI4Science
[2024 May] Sub-reviewer ECML PKDD 2024
[2024 March] Reviewer KDD 2024
[2024-29-01] Finally, I have finished the coursework in my fifth year. During my PhD, I had to take a total of 16 classroom courses, although not all of them will count towards my degree.
[2024 January] Sub-reviewer of PAKDD 2024
[2023-10-27] One of the winners of the Outstanding Poster Presentation Award at Machine Learning in Drug Discovery Symposium'23 arranged by the Broad Institute of MIT & Harvard. Detailed News...
[2023-10-30] Fraser Travel Award by the Dept. of CS, GSU.
[2023-10-02] "Seq-HyGNN: Hypergraph Neural Network for Biological Sequence Data Analysis" has been accepted by the Broad Institute of MIT and Harvard to be presented at the Machine Learning in Drug Discovery Symposium'23—Abstract link.
[2023-09-21] 📣Gave an Invited talk on "Graph Representation Learning, GNN, its variants and applications" at Business School-GSU, Atlanta. I will make the tutorial publicly available shortly. Otherwise, you can email me.
[2023 November] Area chair NIPS'23-AI4Sciecen
[2023-08-05] Paper accepted @ ACM CIKM 2023
[2023-07-12] Paper accepted at ACM-BCB 2023
[2023-06-24] Paper accepted at MLG @ KDD 2023
[2023-06-21] Paper accepted @ KDD PhD Consortium 2023
[2023 June] Reviewer of KDD UG Consortium 2023
[2023-04-21] The best poster presentation award @ CS Demo Day, GSU
[2023-02-20] Selected for ICDE'23 travel award
[2023 January] Sub-reviewer of PAKDD 2023
[2022-11-09] Paper accepted at ICDE 2023
[2022-10-11] Selected to present our paper HyGNN at CGHI Bio Innovation Summit'22
[Fall 2022] I had an amazing experience delivering lectures on Network Science, covering topics such as community detection and graph deep learning, to the graduate students at GSU. The response from the students was overwhelmingly positive and enthusiastic. I enjoyed it a lot.
[2022-10-04] Selected for CIKM'22 NSF travel award
[2022-09-23] Awarded Outstanding Graduate Researcher
[2022-09-13] Reviewer of TGL workshop @ NIPS'22
[2022-07-11] One research paper got accepted at the KDD workshop BioKDD 2022
[2022 July] Sub-reviewer of ISMIS 2022
[2022 July] Sub-reviewer of Complex Networks 2022
[2022-06-16] Reviewer of KDD 2022 Undergraduate Consortium.
[2022-05-25] Won the first place Dell Intel Student Award for Outstanding Use of Data Science and Computing
[2022-05-09] Started internship @Kroll LLC as an AI researcher and Data Scientist
[2022-04-22] Won the Women’s Faculty Council Student Research Award, Oklahoma State University
[2022 February] Reveiwer of ECML-PKDD 2022
[02-11-2021] Paper accepted at IEEE BigData 2021
[15-11-2021] Paper accepted at IEEE BigData 2021
[11-19-2021] Passed Ph.D. Comprehensive Exam
[09-24-2021] Paper accepted at ICMLA 2021
[09-16-2021] Sub-reviewer of Complex Networks 2021
[09-13-2021] Passed Ph.D. Diagnostic Exam
[01-20-2021] The thesis paper submitted by my undergraduate student has been accepted at IEEE ICICT4SD 2021
[08-19-2019] Started Ph.D. at Oklahoma State University