Explainable hyper-local demand sensing for fashion retail
- 2020
- INFORMS 2020
Vijay Ekambaram is a Senior Research Leader and Master Inventor at IBM Research-India, specializing in building Foundation Models for Time-Series and advancing generative AI models. He is the lead author of several popular time-series foundation models, including TTM and PatchTSMixer, that are featured on HuggingFace with over a million downloads and highlights in several media articles such as Forbes, Techopedia, etc.
With over 270+ inventions granted in the USPTO, Vijay Ekambaram is a prolific inventor, ranking among the Top 10 in India and the Top 1,000 globally for the highest number of patents granted to an individual. In recognition of his contributions, he received the Worldwide Prolific Inventor award in 2023 and is listed among the top three Indian inventors on Wikipedia's Prolific Inventor List. He also published his work in several top-tier AI conferences such as KDD, AAAI, and BigData.
Vijay holds an MTech in Computer Science from IIT Madras, where he was a gold medalist and also received the best thesis award for his academic excellence. He currently leads a team of researchers at IRL, driving innovation in time-series foundation models and building scalable Deep-learning products.
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