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PhD in Computer Science

Emory University

Graph Neural Networks (GNNs), Graph Generation, and Time Series Analysis

• Advised by Prof. Wei Jin.

Master of Science (MSc) in Electrical and Electronic Engineering with a Minor in Data Science

École Polytechnique Fédérale de Lausanne (EPFL)

Graph Neural Networks (GNNs) and Graph Generation

• Master's thesis advised by Prof. Pascal Frossard and Prof. Roger Wattenhofer.

Bachelor of Engineering with Honours in Electrical and Electronic Engineering in the First Class

University of Nottingham

Image Processing and Computer Vision

Research Assistant

The Pennsylvania State University, United States

Explored graph-generation-based strategies to address the Out-of-Distribution (OOD) problem in machine learning on graph-structured data.

• Advised by Prof. Lu Lin.

Master Thesis

Distributed Computing Group (DISCO), ETH Zurich, Switzerland

Designed and implemented three diffusion models for sketch graph generation.

• Advised by Prof. Pascal Frossard and Prof. Roger Wattenhofer.

Engineering Internship focusing on deep learning

Logitech, Lausanne, Switzerland

Designed and implemented a non-parallel low-latency real-time any-to-any voice conversion system.

• Advised by Dr. Milos Cernak.

Research Assistant

Signal Processing Laboratory (LTS4), EPFL, Switzerland

Design and Implemented the conditional denoising process for the graph discrete denoising diffusion model.

• Advised by Prof. Pascal Frossard.

Master Semester Projects

Laboratory for Information and Inference Systems (LIONS), EPFL, Switzerland

Explored regularization of polynomial networks for image recognition.

• Advised by Prof. Grigorios Chrysos and Prof. Volkan Cevher.

Nottingham Engineering Excellence Scheme

University of Nottingham

2018-2019, Top 5% in Department

Nottingham Awarded Dean's Scholarship for Academic Excellence

University of Nottingham

2017-2018, Top 10% in Department