Sanjali Yadav

About Me

I'm a Computer Science Ph.D. student at the University of Maryland with a strong interest in the intersection of machine learning and computer architecture. My journey began as an undergraduate, where I was captivated by the potential of machine learning to solve complex, real-world problems. That curiosity deepened during my master’s studies when I took an advanced computer architecture course taught by Dr. Bahar Asgari, who is now my Ph.D. advisor. In that course, I was introduced to cutting-edge research and developed a deeper appreciation for the architectural challenges posed by input sparsity, workload variability, and resource bottlenecks. I became particularly fascinated by the promise of hardware-software co-design—an approach that combines algorithmic intelligence with architectural innovation to enhance system performance.

Today, my research focuses on how machine learning can be leveraged to make hardware architectures more efficient, adaptive, and intelligent. I’m especially interested in techniques that address the inefficiencies caused by sparsity, exploring methods to dynamically optimize computation and memory access patterns. My goal is to help design systems that are not only faster and more efficient, but also better suited to the demands of modern, data-intensive applications.

Publications

Misam: Machine Learning–Assisted Dataflow Selection in Accelerators for Sparse Matrix Multiplication

Sanjali Yadav, Amirmahdi Namjoo & Bahar Asgari

MICRO, 2025

Boötes: Boosting the Efficiency of Sparse Accelerators Using Spectral Clustering

Sanjali Yadav, & Bahar Asgari

MICRO, 2025

DynaFlow: An ML Framework for Dynamic Dataflow Selection in SpGEMM accelerators

Sanjali Yadav, & Bahar Asgari

IEEE CAL, 2025

Misam: Using ML in Dataflow Selection of Sparse-Sparse Matrix Multiplication

Sanjali Yadav & Bahar Asgari

MLArchSys Workshop at ISCA , 2024

Experience

Jan. 2024 - Present

Computer Architecture Systems Lab, UMD

Software Engineering Intern

Summer 2024

Capital One

Software Engineering Intern

Summer 2023

Capital One

Software Engineering Intern

Summer 2022

Amazon

Software Development Intern

Summer 2021

Amazon

Software Development Intern

Dec. 2019 - Dec. 2022

Maryland Information and Network Dynamics Lab, UMD

Undergraduate Research Assistant

Education

2023

Ph.D. in Computer Scienc

University of Maryland, College Park

2022 - 2023

M.S. in Computer Science

University of Maryland, College Park

2019 - 2022

B.S. in Computer Science

University of Maryland, College Park

Awards

2024

First position at ACM Student Research Competition

International Symposium on Microarchitecture (MICRO)

2022

Undergraduate Scholarship

Capital One Bank Dean's Scholarship Fund in Computer Science

Volunteer Work

2024

ISCA Artifact Evaluation Committee

Get In Touch

I'm always open to discussing research, new ideas, or potential collaborations. Feel free to reach out.

sanjali7@umd.edu