Cansu Demirkiran Selected as 2024 ML and Systems Rising Star

Boston University College of Engineering PhD candidate Cansu Demirkiran was selected as one of the 2024 Machine Learning and Systems Rising Stars.

Demirkiran is a final year doctoral candidate at the Intergrated Circuits and Systems Group led by Ajay Joshi (ENG, ECE), which focuses on developing novel architectures and circuits to design low-power, high-performance, and secure systems. Demirkiran’s current research interests include computer architecture and machine learning. She received her B.S. degree in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 2019.

The MLCommons Rising Stars program provides a platform for talented young researchers working at the intersection of machine learning (ML) and systems to build connections with a vibrant research community, engage with industry and academic experts, and develop their skills.

As part of our commitment to fostering the growth of our Rising Stars, we are organizing a Rising Stars workshop at the NVIDIA Headquarters in Santa Clara, CA, in July, where the cohort will showcase their work, explore research opportunities, gain new skill sets via career building sessions, and have the opportunity to network with researchers across academia and industry.

“ML is a fast-growing field with rapid adoption across all industries, and we believe that the biggest breakthroughs are yet to come. By nurturing and supporting the next generation of researchers, both domestically and globally, we aim to foster an inclusive environment where these individuals can make groundbreaking contributions that will shape the future of ML and systems research. The Rising Stars program is our investment in the future, and we are excited to see the innovative ideas and solutions that these talented researchers will bring to the table.,” said Vijay Janapa Reddi, MLCommons VP and Research Chair and steering committee member of the Rising Stars program.

We extend our warmest congratulations to this year’s Rising Stars and express our gratitude to

About MLCommons: MLCommons is an Artificial Intelligence engineering consortium, built on a philosophy of open collaboration to improve AI systems. Through our collective engineering efforts with industry and academia we continually measure and improve the accuracy, safety, speed and efficiency of AI technologies–helping companies and universities around the world build better AI systems that will benefit society.