Anay Majee

PhD Candidate in Computer Science

photo_Anay.jpg

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

Nov, 2023 Our Patent on “IoT Based Industrial Energy Monitoring and Control System” has been granted at the Indian Patent Office.
Aug, 2022 Started as a PhD Student at UT Dallas at the CARAML lab.
Jan, 2022 Paper titled “Attention Guided Cosine Margin to Overcome Class-Imbalance in Few-Shot Road Object Detection” accepted at WACV 2022, DNOW workshop.
Dec, 2021 Paper on “Meta-Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection” accepted at NeurIPS 2021, ML4AD workshop.