The mission of Make Programming Simple Lab is to investigate novel architectural, compiler, runtime, and system operation mechanisms to make the task of programming complex and ambitious applications easier on distributed and heterogeneous computing platforms.
Professor, School of Computing Informatics and Decision Systems Engineering, School of Electrical Computer and Energy Engineering, Arizona State University.
Biography Aviral Shrivastava is a full Professor in the School of Computing and Augmented Intelligence (SCAI) at the Arizona State University, where he established and heads the Make Programming Simple Lab. He completed his Ph.D. […]
Post Doctoral Scholar
I have researched the reliability against hardware faults in computer systems, especially for soft errors, also known as transient faults. I have developed several software-only solutions to mitigate soft errors via instruction-level redundancy, including in-thread […]
P.h.D Student
As a passionate Computer Engineering PhD student at Arizona State University, I bring a wealth of experience in software development, research, and teaching. My electrical and computer engineering journey began at the University of Arizona, […]
Ph.D. Student
I’m a Ph.D in Computer Science Student at ASU working in Compiler Design and Machine Learning Accelerators @MPS-Lab. Previously I worked as a Machine Learning Intern at AMD and HackerRank. Tech Stack Languages : Tools […]
P.h.D Student
Edward Andert is a Ph.D. student in Computer Engineering at Arizona State University. His research focuses on using cooperative sensor fusion of data from autonomous vehicles to detect and prevent errors from turning into crashes […]
Ph.D. Student
Ph.D. Student working on Machine Learning & Quantum Computing. Currently, I’m working on ML algorithms that can improve the performance and functionality of NISQ Quantum computers at @MPS-Lab. I have full-time experience as a Deep […]
Masters Student
I am working on improving the reliability of machine learning models, with a focus on detecting and mitigating various reliability issues, such as silent data corruptions (SDC), soft errors, adversarial attacks, and out-of-distribution (OOD) instances. […]
Masters Student
My core area of expertise is deep learning. I like to solve problems in any domain, but especially at the intersection of computer science and electronics. I am currently working on building a deeper understanding of […]
Masters Student
Currently, I am focusing on machine learning acceleration using FPGAs–specifically with the Versal and Ryzen devices. I’m working towards attaining an understanding of how machine learning accelerators can be constructed to more efficiently run inference […]
Masters Student
I have developed my core foundation in Computer Vision and AI, which presented opportunities for research and solution development in industrial settings, particularly with Siemens. Balancing technical work with a commitment to my education, my […]
Masters Student
I am a Master’s student working at the intersection of machine learning, algorithms, Domain-Specific Languages (DSLs), and compilers. I am passionate about advancing the development of the AI stack, including technologies like MoJo, TVM, MLIR, […]
Masters Student
I’m an MS Computer Engineering student interested in compilers, large language models (LLMs), and computer vision. Previously, I worked at Novo Nordisk and Zocket as a Data Engineer, focusing on building, maintaining, and improving cloud […]
Undergraduate Student
I’m a computer science undergraduate exploring MLIR as part of my research. I’mfascinated by how computers work under the hood—something we often take forgranted. My interests lie in deep learning, compilers, and cryptography, and I […]
Undergraduate Student
I am currently studying the edge cases of Intelligent Transportation for my FURI Grant this fall. I am studying at ASU with a double major in Computer Science and Electrical Engineering, and I hope to […]
