Ryan Sharp
ryan [dot] sharp [at] igs [dot] com
I’m a machine learning engineer at IGS Energy where I design energy demand forecasting models for >1M buildings across the US and also develop other ML/AI-powered tools.
Prior to this, I was a graduate researcher at UT Dallas working on robust representation learning in class-imbalanced scenarios under the supervision of Prof. Rishabh Iyer.
publications
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SMILe: Leveraging Submodular Mutual Information for Robust Few-Shot Object DetectionIn ECCV, 2024
news
| 2025 October | 🏆 My code wins third place in the Flextrack Challenge 2025, and I am invited to present at the 2025 IEEE International Conference on Energy Technologies for Future Grids. |
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| 2024 August | 🔍 I participate as a reviewer for TPAMI: Transactions on Pattern Analysis and Machine Intelligence. |
| 2024 July | 📜 SMILe is accepted into ECCV 2024, main track. |
| 2024 June | 💼 I begin working full-time at IGS Energy as a machine learning engineer. |
| 2024 May | 🎓 I graduate from UTD with my master’s in Statistics, thesis track. |
| 2023 May | 🎓 I graduate from UTD with my bachelor’s in Data Science and join Prof. Rishabh Iyer’s lab. |
| 2022 May | 💼 I begin working at IGS Energy as a data science intern. |
| 2019 April | 📜 I receive a full ride scholarship + stipend from UTD and begin my studies there soon after. |