Research Spotlight

Hi! I am a Mathematician and a Postdoc research scientist @ Concordia University, School of Engineering and Computer Science. I am currently working at the interface of computer science and electrical engineering. I primarily work with the extend C++ library of INSEL engine to a undirected graph concepts, which could be used to model multimodal networks of electricity, gas and water. I completed my last postdoc in computer social media, FEIT, UTS. I built dependence structure between labor occupation based on job counts data, using copulae. I also developed a theoretical model based on hawkes intensity point processes allows fitting information diffusion based on observed counts of events. The main tools we used were functional analysis and distribution theory. I completed my PhD in early 2018 on the topic of stochastic Navier-Stokes equations on the rotating spheres with stable Lévy noise, under supervision of Prof. Beniamin Goldys, the univeristy of Sydney.

Research interests:

  • Graph theory and algorithms

  • Deep Learning on PDEs/SPDEs; Machine Learning of Optimal Transport

  • Explainable AI (XAI), Intepretable Machine Learning

  • Theory of Computational Complexity

  • Quantum Computing, Quantum game theory, Information Geometry, Quantum Machine Learning

  • Numerical Analysis; Data-driven Scientific Computing

  • Theoretical or Statistical Machine Learning

  • Point processes and applications to Social Media, Finance, Insurance, Quantum Physics

  • Mathematical Analysis, Stochastic PDEs, Financial Mathematics