Ryan Sharp

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ryan [dot] sharp [at] igs [dot] com

I’m a machine learning engineer at IGS Energy designing a demand forecasting algorithm to predict the hourly energy consumption of individual homes and businesses for years into the future.

Prior to this, I was a graduate researcher at UT Dallas working on representation learning under the supervision of Prof. Rishabh Iyer. This resulted in SMILe getting accepted at ECCV 2024, main track.

Before I discovered my passion for AI, I inspired thousands of youth and adults from around the world to improve their fitness with weightlifting. My YouTube channel has attracted more than 13 million total views and 85,000 subscribers by showcasing my workout videos and documenting my bodybuilding journey.

publications

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    SMILe: Leveraging Submodular Mutual Information for Robust Few-Shot Object Detection
    Anay Majee, Ryan Sharp, and Rishabh Iyer
    In ECCV, 2024
    Website

news

Aug 01, 2024 🔍 I participate as a reviewer for TPAMI: Transactions on Pattern Analysis and Machine Intelligence.
Jul 01, 2024 😊 SMILe is accepted into ECCV 2024, main track.
Jun 03, 2024 💼 I begin working full-time for IGS Energy as a machine learning engineer.
May 13, 2024 🎓 I graduate from UTD with my master’s in Statistics, thesis track.
May 13, 2023 🎓 I graduate from UTD with my bachelor’s in Data Science and join Prof. Rishabh Iyer’s lab as a graduate researcher.
May 23, 2022 💼 I begin working as a data science intern for IGS Energy.
Apr 02, 2019 📜 I receive the Academic Excellence Scholarship from UTD which covers all undergraduate tuition and includes a stipend.