About

I received my Ph.D. degree in Electrical and Computer Engineering from the University of Toronto, Canada, in 2025, under the supervision of Prof. Elvino S. Sousa. My research ranges from data-driven machine learning techniques for large-scale distributed optimization to graph neural networks and transformer-based architectures for structured data. I strive to develop intelligent, reliable, and scalable AI systems that translate cutting-edge research into real-world impact.

News

[Sep ‘25] Officially awarded the PhD by defending my thesis at the Final Oral Examination.

[Aug ‘25] Successfully passed the PhD Departmental Oral Examination.

[Dec ‘24] Our paper is accepted to IEEE WCNC 2025 in Milan, Italy.

[Dec ‘24] Received the offer to join the Vector Institute as a Machine Learning Associate.

[Dec ‘23] Our paper is accepted to IEEE WCNC 2024 in Dubai, UAE.

[Oct ‘23] Secured an internship position (Machine Learning Intern) at Ericsson.

[Sep ‘23] Defended my thesis proposal and achieved PhD candidacy.

[Aug ‘23] Our paper is accepted to IEEE GLOBECOM 2023 in Kuala Lumpur, Malaysia.

[Jun ‘23] Our paper is accepted to IEEE PIMRC 2023 in Toronto, Canada.

[Oct ‘22] Successfully passed the PhD qualifying examination.

[Sep ‘21] Joined the PhD program in Electrical and Computer Engineering Department at the University of Toronto.