Anay Majee
PhD Candidate in Computer Science
Located at Dallas, TX
I am a PhD Candidate at the Department of Computer Science at The University of Texas at Dallas where I am advised by Prof.Rishabh Iyer at the CARAML lab.
Prior to this, I was a Data and Applied Scientist II at Microsoft, BingAds team, where I worked on Dense Information Retrieval technique from short phrases (queries). I have also worked as an Applied Research Scientist at Intel India, where I was advised by Dr.Anbumani Subramanian to develop perception learning models for autonomous navigation tasks to make self-driving cars safer and more reliable in unconstrained, heterogeneous traffic environments like India (realized through the India Driving Dataset).
Even Earlier, I worked as an Undergraduate Researcher at the Smart Grid Laboratory of Vellore Institute of Technology where I was advised by Dr. Gnana Swathika O.V. Here, my research realized a large-scale electrical grid through a dynamic computation graph to identify and rectify critical faults without any human intervention.
Check out my list of publications and projects for more details on my research !
news
| May, 2024 |
Our paper titled “SCoRe : Submodular Combinatorial Representation Learning” has been accepted at ICML 2024, main track.
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| Nov, 2023 |
Our Patent on “IoT Based Industrial Energy Monitoring and Control System” has been granted at the Indian Patent Office.
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| Aug, 2022 |
Started as a PhD Student at UT Dallas at the CARAML lab.
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| Jan, 2022 |
Paper titled “Attention Guided Cosine Margin to Overcome Class-Imbalance in Few-Shot Road Object Detection” accepted at WACV 2022, DNOW workshop.
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| Dec, 2021 |
Paper on “Meta-Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection” accepted at NeurIPS 2021, ML4AD workshop.
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