CV
Contact Information
| Name | Kanghui Ning |
| Professional Title | Ph.D. Student in Computer Science |
| kanghui.ning@uconn.edu |
Professional Summary
Ph.D. student at the University of Connecticut working on AI for time series analysis — time series reasoning, foundation models, and multi-modal time series understanding.
Experience
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2026 - present New York, NY, USA
Research Intern, Machine Learning Research
Morgan Stanley
Research on machine learning for time series.
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2024 - present Storrs, CT, USA
Research Assistant, DSIS Lab
University of Connecticut
Research on time series analysis with foundation models and LLMs.
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2024 - 2024 Hangzhou, China
Research Intern
Ant Group
Research on time series analysis.
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2023 - 2023 Beijing, China
Research Intern, Corporate Strategy — Project Voyager
ByteDance
Research on AI for bioinformatics.
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2022 - 2023 Beijing, China
Research Intern, Applied Machine Learning — AI4Science Group
ByteDance
Research on AI for science.
Education
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2024 - present Storrs, CT, USA
Ph.D.
University of Connecticut
Computer Science
- Advisor: Prof. Dongjin Song (DSIS Lab)
- Research: AI for time series analysis
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2020 - 2024 Wuhan, China
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2016 - 2020 Chengdu, China
Awards
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2025 Best BlueSky Paper Award (3rd Place)
IEEE ICDM 2025
For “Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision”.
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2026 Predoctoral Fellowship (Platinum)
School of Computing, University of Connecticut
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2025 Entrepreneurship Fellowship Program Fellow
University of Connecticut
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2025 Predoctoral Honorable Mention
School of Computing, University of Connecticut
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2024 CSE Graduate Fellowship
University of Connecticut
Publications
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2026 TimeRouter: Efficient and Adaptive Routing of Time-Series Foundation Models
ICML 2026 Workshop on AI Forecasting
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2025 Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision
IEEE ICDM 2025, BlueSky Track (Best BlueSky Paper Award, 3rd Place)
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2025