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I am a Master's student at the University of Illinois at Urbana-Champaign in the Department of Computer Science. Previously, I was an undergraduate student in the UIUC department of Electrical & Computer Engineering.
My research focuses on mathematical and information-theoretic aspects of quantum information theory.
Contact me at mayankb3 -at- illinois.edu.
This paper provides insights into how physically realistic noise parameters (superconducting, photonic) impact protocol performance for a particular EPR-based quantum byzantine agreement protocol.
This project is about quantifying the impact of the IOMMU on AI workloads with CPU-offloading.
This project focuses on efficiently and dynamically balancing KV cache recomputation and data transfer based on system profiling to mitigate the PCIe bandwidth bottleneck in I/O-heavy Retrieval-Augmented Generation (RAG) workloads.
My undergraduate thesis is about finding teleportation protocols that maximize average fidelity for noisy entangled resource states, particularly U⊗U-covariant Werner states and Z⊗Z-covariant Badziąg-type states. An efficient variational ansatz is constructed using the teleportation-dense-coding duality.
This paper introduces PipeChurn, a reliable pipeline parallelism framework using Erasure Coding for edge environments. PipeChurn improves fault tolerance, accelerates recovery, and reduces end-to-end latency by 25.4% under failures, enhancing the efficiency of deep learning model training on edge devices.
6/2025 - Current
8/2024 - Current
1/2025 - 5/2025
1/2025 - 5/2025
1/2022 - 5/2024
5/2024 - 8/2024
8/2022 - 5/2024
1/2023 - 5/2024
5/2023 - 8/2023
1/2022 - 12/2022
University of Illinois Urbana-Champaign
Expected Graduation: May 2026
University of Illinois Urbana-Champaign
Graduated with Highest Honors: May 2024
"Mayank is a highly motivated and capable student who I expect to achieve great things in academia and beyond. I have been mentoring and supervising him in undergraduate research programs at the University of Illinois Urbana-Champaign since the 2022 Spring term. In this time Mayank has studied mathematical and information-theoretic aspects of quantum information theory, and solved research-level problems together with undergraduate researchers under my supervision. In the current academic year 2023-24 Mayank is writing a senior thesis with me. It has been, and continues to be, a pleasure supervising him and engaging with him in discussions."
"Mayank was an outstanding intern who made significant contributions to our team's real-time bidding model based on reinforcement learning. He demonstrated exceptional intelligence, a strong work ethic, and a passion for machine learning. Mayank's attention to detail, analytical skills, and commitment to high-quality work were evident in his ability to identify critical insights and improve our project. He excelled in teamwork and communication, actively seeking feedback and fostering collaboration. Mayank's eagerness to learn and adapt to new challenges set him apart, and I have no doubt he will continue to excel in his career. I highly recommend Mayank to any organization seeking a talented individual with expertise in reinforcement learning and machine learning."