Since 2024 August, I join Energy Track as a Machine Learning Engineer. One of our aim is to build up a NILM (non-intrusive load monitoring) system focusing small and medium business space.
Before working in industry, I was a Postdoctoral Researcher in the University of Vienna working with Harald Grobner. Before moving to Vienna, I was a I-SITE ULNE postdoctoral fellow in the Laboratoire Paul Painlevé at Université de Lille working with Mladen Dimitrov. Before moving to Lille, France, I obtained my PhD degree at University of Arizona, Department of Mathematics. My advisor is Romyar Sharifi.
I am interested in number theory, especially Iwaswa theory, automorphic forms, HIlbert modular forms, Galois representations and their related areas. Recently, I am focus on topology and geometry approach on NILM.