Hamidreza Ramezani-Kebrya
I recently completed my master's degree in the Electrical and Computer Engineering department at The University of British Columbia (UBC), under the supervision of Prof. Matei Ripeanu. During my graduate studies at UBC, I completed an 8-month internship at TELUS and MobileLIVE as a Software Engineer. Before starting my graduate studies in Canada, I worked for a year as a research intern at IST Austria, hosted by Prof. Dan Alistarh. Prior to that, I interned at EPFL under the guidance of Dr. Mirjana Stojilovic and Prof. Paolo Ienne. I completed my undergraduate studies at Amirkabir University of Technology (Tehran Polytechnic).
My research focused on high-performance computing and its application to genome analysis. Specifically, I explored approaches to accelerate DNA sequence alignment by leveraging available and emerging technologies such as Processing-in-Memory (PIM). Other areas of interest include distributed systems, federated learning, performance analysis, and edge computing.
🌟 Actively Seeking Opportunities: I am currently looking for full-time Research or Engineering roles in Canada. Feel free to reach out if you have opportunities that align with my background!
Recent News
- November 2024: I finished my Master’s studies. Yay :)
 - August 2024: Our PiM paper was nominated for Best Paper Award (top 6 papers) at Euro-Par 2024.
 - April 2024: Our paper “(re)Assessing PiM Effectiveness for Sequence Alignment” was accepted at Euro-Par 2024.
 - May 2023: I started my internship at TELUS.
 - November 2022: Our CGX paper was chosen as Best Paper Award Runner-up at Middleware 2022.
 - Jan 2022: I became a member of NetSysLab.
 - Jan 2022: I started my masters studies at UBC in Vancouver.
 - August 2020: I moved to Klosterneuburg to work at IST Austria.
 - February 2020: I started a new internship at EPFL.
 - Oct 2019: I got my undergrad degree.
 - June 2019: I started my internship at EPFL.
 - March 2019: I won Summer@EPFL fellowship.
 
Publications
Hamidreza Ramezanikebrya and Matei Ripeanu, (re)Assessing Processing-in-Memory Effectiveness for Sequence Alignment. In 30th International European Conference on Parallel and Distributed Computing (Euro-Par 2024), August 26-30, 2024, Best Paper Award Nominee.
Ilia Markov, Hamidreza Ramezanikebrya, and Dan Alistarh, CGX: Adaptive System Support for Communication-Efficient Deep Learning. In 23rd International Middleware Conference (Middleware 2022), November 7-11, 2022, Best Paper Award Runner-up.
Thesis
Hamidreza Ramezanikebrya, PiMPACT : (re)assessing Processing-in-Memory impact Master’s Thesis, The University of British Columbia, 2024.
