On My Radar

I'm thrilled to share that I recently presented our paper on "Iterative Refinement Methods for Semidefinite Optimization" at the 2024 INFORMS Computing Society Conference in Houston, engaging in enriching discussions and receiving insightful questions. Alongside my colleague Zeguan Wu, we successfully organized two sessions dedicated to the fascinating realms of quantum computing and optimization, which were met with great enthusiasm. I’d like to express my heartfelt gratitude towards the conference organizers for awarding me a travel grant, making this incredible experience possible.

Exciting news alert! Today, I conquered the PhD general exam like a boss! Huge shoutout to my fantastic committee members for their insightful comments – they're like the Jedi Masters of academia. 🌟 Now, onto the next adventure: the epic thesis defense! I'm gearing up for battle, armed with knowledge and a dash of humor. Massive thanks to my awesome advisor for guiding me through this crazy journey. Let's do this, thesis! 

I'm thrilled to announce that our paper, titled "An inexact feasible interior point method for linear optimization with high adaptability to quantum computers," has been selected as the runner-up for the INFORMS Computing Society Ph.D. Student Paper Award. I want to extend my heartfelt thanks to the committee for this recognition. This achievement would not have been possible without the collaboration of my esteemed co-authors Ramin Fakhimi, Zeguan Wu, and my incredible advisor Prof. Tamás Terlaky. 

I'm thrilled to announce that I will be presenting a talk at the 2024 SIAM Conference on Parallel Processing for Scientific Computing (PP24). The topic of my presentation is "Novel Inexact Feasible Quantum Interior Point Methods for Linear Optimization." If you're attending this conference, make sure not to miss it! Discover how quantum computers can accelerate the solution of linear optimization problems.