News
News
Papers, talks, teaching, and other updates.
2026
- Oct 2026
Our paper on glacier calving-front delineation in SAR imagery was accepted at IEEE ICMLA 2026 in Rochester, MI.
- Aug 2026
Presented our position paper, Moving Beyond Correlation: Causal AI for Generalizable Climate Science, at the NSF HDR Ecosystem Conference in Chicago.
- Aug 2026
Our paper on inductive biases in cryospheric image classification appeared at IEEE IGARSS 2026.
- Aug 2026
Started peer mentoring a first-year Ph.D. student in the Causal AI Lab.
- May 2026
Received a Doctorate Student Award at UMBC COEIT Research Day for work on refining partial causal graphs through interventional representation learning.
- Apr 2026
Gave an invited flash talk on reproducing supraglacial lake detection benchmarks at the FARR Workshop in Washington, DC.
- Apr 2026
The coastal flooding sub-challenge of the NSF HDR ML Challenge closed with 2,709 submissions from 151 participants.
- Mar 2026
Led and presented the Explainable AI workshop in the iHARP Artificial Intelligence Series.
- Spring 2026
Guest lecture on causal representation learning in IS 790 (Causal AI) at UMBC.
2025
- Dec 2025
Presented RIC-TSC at IEEE ICMLA 2025 in Boca Raton, FL.
- Nov 2025
Invited talk on causal time series modeling of supraglacial lakes at the iHARP All-Hands Meeting and ACM SIGSPATIAL PolDS 2025 in Minneapolis.
- Fall 2025
Guest lecture on deep sequence modeling in IS 733 (Data Mining) at UMBC.
- Aug 2025
TimeGraph appeared at ACM SIGKDD 2025 in the Datasets and Benchmarks Track.
- Aug 2025
Our paper on causal time series modeling for Arctic sea ice appeared at the IJCAI Workshop on AI for Time Series in Montreal.
- Jul 2025
Became support team lead for iHARP’s sub-challenge in the NSF HDR Machine Learning Challenge (Year 2).
- Apr 2025
Received a Doctorate Student Award (Honorable Mention) at UMBC COEIT Research Day.
- Mar 2025
Presented our causal deep learning framework for Arctic sea ice at IEEE PerCom Workshops in Washington, DC.
- Feb 2025
Our Greenland-wide supraglacial lake study was published in Earth and Space Science.
2024
- Dec 2024
Presented our supraglacial lake classification paper at IEEE ICMLA 2024 in Miami.
- Fall 2024
Guest lecture on deep sequence modeling in IS 733 (Data Mining) at UMBC.
- Jun 2024
Invited talk at the iHARP All-Hands Meeting in Fairbanks, AK.
- Jan 2024
Presented a poster on causality and deep learning for sea ice prediction at the 104th AMS Annual Meeting in Baltimore.
2023
- Dec 2023
Earned my M.S. in Information Systems from UMBC.
- Sep 2023
Our survey of causal discovery methods was published in TMLR with a Survey Certification.
2022
- Nov 2022
Our paper on belief rule-based machine learning for stock price movements was published in Expert Systems with Applications.
- May 2022
Joined iHARP at UMBC as a graduate research assistant.