cv

General Information

Full Name Anya Chaturvedi
Current Position Ph.D. Student at Arizona State University
LinkedIn anyachaturvedi
Institute Email firstName.lastName@asu.edu
Personal Email firstName.lastName27@gmail.com
Research Areas Distributed Algorithms, Randomized Algorithms, Combinatorial Algorithms, Approximation Algorithms
Ph.D. Advisor Andréa W. Richa
Research Lab Webpage Self-Organizing Particle Systems (SOPS)

Education

  • 2022 - Present
    Ph.D. in Computer Science
    Arizona State Unveristy, Tempe, Arizona
  • 2018 - 2020
    M.S. in Computer Science
    Arizona State Unveristy, Tempe, Arizona
  • 2014 - 2018
    B.Tech. in Information Technology
    Motilal Nehru National Institute of Technology, Allahabad, India

Industry Experience

  • 2020 - 2022
    Automation Software Engineer
    Intel Corporation
    • Developed and tested software solutions for factory automation systems.
    • Contributed to improving automation workflows by implementing reliable and scalable code.
    • Collaborated with cross-functional teams to integrate analytics with automation tools.
    • Ensured high-quality deployment through rigorous testing and debugging processes.
  • Summer 2019
    Automation Intern
    Intel Corporation
    • Designed and developed a cross-platform web application for managing conference reviews.
    • Ensured compatibility across major browsers and operating systems for a seamless user experience.
    • Applied optimization techniques to improve performance and responsiveness.
    • Implemented testing procedures to validate functionality across diverse environments.

Academic Experience

  • Summer 2023
    Visiting Scholar
    Purdue University
    Advisor: Dr. Ananth Grama
    • Studied the impact of noise and faults on neural network performance.
    • Evaluated neural networks’ robustness to simulated faults.
  • Fall 2022 - Present
    Graduate Research Assistant
    Arizona State University
    Advisor: Dr. Andréa W. Richa
    • Conduct research in distributed computing with a focus on randomized and combinatorial optimization algorithms.
    • Explore innovative bio-inspired approaches to solve complex distributed system problems.
  • Spring 2019
    Spring 2020
    Fall 2024
    Graduate Teaching Assistant
    Arizona State University
    Advisor: Dr. Andréa W. Richa
    • Conducted doubt-clearing sessions to support students’ understanding of core algorithmic concepts.
    • Designed assignments and developed detailed solutions for both online and in-person course offerings at ASU and Coursera.
    • Assisted the instructor in managing coursework and addressing student queries throughout the semester.
  • Summer 2017
    Summer Undergraduate Research Internship
    Indian Institute of Technology Kanpur
    Advisor: Dr. Surender Baswana
    • Explored efficient randomized algorithms for the Smallest Enclosing Circle and Minimum Spanning Tree problems.
    • Applied novel algorithmic ideas to improve runtime performance on large inputs.
    • Validated correctness and scalability on datasets with over 1 million nodes.
  • Summer 2016
    Summer Undergraduate Research Internship
    Indian Institute of Technology Delhi
    Advisor: Dr. Naveen Garg
    • Explored approximation strategies for the NP-hard Capacitated 𝑘-Center problem.
    • Designed and analyzed algorithms under capacity constraints to improve solution quality.
    • Developed a deeper understanding of the importance of counterexamples in identifying flaws in algorithm design and correctness proofs.

Publications

  • Journal and Conference Publications
    • Anya Chaturvedi, Chandra Chekuri, Andréa W. Richa, Matthias Rost, Stefan Schmid, and Jamison Weber. Improved Throughput for All-or-Nothing Multicommodity Flows with Arbitrary Demands. ACM SIGMETRICS Performance Evaluation Review, 49(3):22–27, 2022. https://doi.org/10.1145/3529113.3529121
    • Anya Chaturvedi, Chandra Chekuri, Mengxue Liu, Andréa W. Richa, Matthias Rost, Stefan Schmid, and Jamison Weber. Improved Throughput for All-or-Nothing Multicommodity Flows With Arbitrary Demands. IEEE/ACM Transactions on Networking, 32(2):1435–1450, 2024. https://doi.org/10.1109/tnet.2023.3325437
    • Anya Chaturvedi, Joshua J. Daymude, and Andréa W. Richa. On the Runtime of Local Mutual Exclusion for Anonymous Dynamic Networks. In 4th Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2025), volume 330 of LIPIcs, pages 15:1–15:16, 2025. https://doi.org/10.4230/LIPIcs.SAND.2025.15
  • Preprints
    • Devendra Parkar, Anya Chaturvedi, Andréa W. Richa, and Joshua J. Daymude. Finding Maximum Independent Sets in Dynamic Graphs using Unsupervised Learning. arXiv.org, 2025. https://arxiv.org/abs/2505.13754
    • Rida Bazzi, Anya Chaturvedi, Andréa W. Richa, and Peter Vargas. Synchronization in Anonymous Networks Under Continuous Dynamics. arXiv.org, 2025. https://arxiv.org/abs/2506.08661

Extracurricular Involvement

  • Leadership Roles
    • Vice President of External Affairs, Graduate Student Government, ASU
    • Director of Accessibility and Inclusion, Graduate Student Government, ASU
    • Research and Travel Award Reviewer, GPSA Awards Committee, ASU
    • International Student Affairs Committee, University Boards and Committees, ASU
  • Honors & Fellowships
    • Fulton Fellowship Award Recipient, ASU
    • Graduate Student Government Travel Grant, ASU
    • Graduate College Travel Award, ASU
  • Professional Memberships
    • Association for Computing Machinery
    • Women in Computer Science, ASU
    • Software Developers’ Association, ASU
    • Graduate Women Association, ASU