Sushant Kumar Gupta

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</ul> </div> </div> </li> <li data-gt-secondary="Foundational ML & Algorithms"> <div class="navigation__sub__columns__desktop"> <h2 class="headline-6 navigation__sub__columns__heading">Foundational ML & Algorithms</h2> <ul> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/algorithms-and-theory/" > Algorithms & Theory </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/data-management/" > Data Management </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/data-mining-and-modeling/" > Data Mining & Modeling </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/information-retrieval-and-the-web/" > Information Retrieval & the Web </a> </li> <li> <a 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data-panel="nested" role="menuitem" aria-haspopup="true"> Foundational ML & Algorithms <span class="icon icon--caret"></span> </button> <div class="navigation__nested-sub js-sub-nav-parent"> <div class="navigation__sub__mobile-heading"> <button class="glue-header__link js-sub-nav-close-mobile" role="menuitem" aria-haspopup="true"> <span class="sr-text">Back to</span> <span class="icon icon--caret"></span> Foundational ML & Algorithms <span class="sr-text">menu</span> </button> <hr/> </div> <ul> <li role="menuitem"> <a href="https://research.google/research-areas/algorithms-and-theory/" class="navigation__sub__columns__mobile__link" > Algorithms & Theory <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/data-management/" class="navigation__sub__columns__mobile__link" > Data Management <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/data-mining-and-modeling/" class="navigation__sub__columns__mobile__link" > Data Mining & Modeling <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/information-retrieval-and-the-web/" class="navigation__sub__columns__mobile__link" > Information Retrieval & the Web <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/machine-intelligence/" class="navigation__sub__columns__mobile__link" > Machine Intelligence <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/machine-perception/" class="navigation__sub__columns__mobile__link" > Machine Perception <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/machine-translation/" class="navigation__sub__columns__mobile__link" > Machine Translation <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/natural-language-processing/" class="navigation__sub__columns__mobile__link" > Natural Language Processing <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/speech-processing/" class="navigation__sub__columns__mobile__link" > Speech Processing <span> </span> </a> </li> </ul> </div> </div> </li> <li data-gt-secondary="Computing Systems & Quantum AI"> <div class="navigation__sub__columns__desktop"> <h2 class="headline-6 navigation__sub__columns__heading">Computing Systems & Quantum AI</h2> <ul> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/distributed-systems-and-parallel-computing/" > Distributed Systems & Parallel鈥–omputing </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/hardware-and-architecture/" > Hardware & Architecture </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/mobile-systems/" > Mobile Systems </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/networking/" > Networking </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/quantum-computing/" > Quantum Computing </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/robotics/" > Robotics </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/security-privacy-and-abuse-prevention/" > Security, Privacy, & Abuse鈥≒revention </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/software-engineering/" > Software Engineering </a> </li> <li> <a 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</li> <li role="menuitem"> <a href="https://research.google/research-areas/hardware-and-architecture/" class="navigation__sub__columns__mobile__link" > Hardware & Architecture <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/mobile-systems/" class="navigation__sub__columns__mobile__link" > Mobile Systems <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/networking/" class="navigation__sub__columns__mobile__link" > Networking <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/quantum-computing/" class="navigation__sub__columns__mobile__link" > Quantum Computing <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/robotics/" class="navigation__sub__columns__mobile__link" > Robotics <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/security-privacy-and-abuse-prevention/" class="navigation__sub__columns__mobile__link" > Security, Privacy, & Abuse鈥≒revention <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/software-engineering/" class="navigation__sub__columns__mobile__link" > Software Engineering <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/software-systems/" class="navigation__sub__columns__mobile__link" > Software Systems <span> </span> </a> </li> </ul> </div> </div> </li> <li data-gt-secondary="Science, AI & Society"> <div class="navigation__sub__columns__desktop"> <h2 class="headline-6 navigation__sub__columns__heading">Science, AI & Society</h2> <ul> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/climate-and-sustainability/" > Climate & Sustainability </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/economics-and-electronic-commerce/" > Economics & Electronic Commerce </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/education-innovation/" > Education Innovation </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/general-science/" > General Science </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/health-bioscience/" > Health & Bioscience </a> </li> <li> <a class="navigation__sub__columns__list-link caption js-drawer-link" href="https://research.google/research-areas/human-computer-interaction-and-visualization/" > Human-Computer Interaction and Visualization </a> </li> </ul> </div> <div class="navigation__sub__columns__mobile"> <button class="glue-header__link js-sub-nav-target" data-panel="nested" role="menuitem" aria-haspopup="true"> Science, AI & Society <span class="icon icon--caret"></span> </button> <div class="navigation__nested-sub js-sub-nav-parent"> <div class="navigation__sub__mobile-heading"> <button class="glue-header__link js-sub-nav-close-mobile" role="menuitem" aria-haspopup="true"> <span class="sr-text">Back to</span> <span class="icon icon--caret"></span> Science, AI & Society <span class="sr-text">menu</span> </button> <hr/> </div> <ul> <li role="menuitem"> <a href="https://research.google/research-areas/climate-and-sustainability/" class="navigation__sub__columns__mobile__link" > Climate & Sustainability <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/economics-and-electronic-commerce/" class="navigation__sub__columns__mobile__link" > Economics & Electronic Commerce <span> </span> </a> </li> <li role="menuitem"> <a href="https://research.google/research-areas/education-innovation/" 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<span class="sr-text">Learn more about our Projects</span> <span aria-hidden="true">Learn more</span> </a> </div> <div class="navigation__sub__columns__mobile"> <a class="glue-header__link" href="https://research.google/resources/our-projects/" > Projects </a> </div> </li> <li data-gt-secondary="Publications"> <div class="navigation__sub__columns__desktop"> <h2 class="headline-6 navigation__sub__columns__heading"> Publications </h2> <p class="navigation__sub__columns__description caption">Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.</p> <a href="https://research.google/pubs/" class="glue-inline-link js-drawer-link" > <span class="sr-text">Learn more about our Publications</span> <span aria-hidden="true">Learn more</span> </a> </div> <div class="navigation__sub__columns__mobile"> <a class="glue-header__link" href="https://research.google/pubs/" > Publications </a> </div> </li> <li data-gt-secondary="Resources"> <div 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He has a strong foundation in distributed systems and system performance optimization, complemented by practical experience in networking, blockchain technologies, and cloud computing. Mr. Gupta earned a Bachelor of Engineering degree in Computer Science and Engineering from the Birla Institute of Technology, Mesra. Before his current role, he worked as a software engineer at Microsoft until 2019. </div> <div class="bhoig__cta glue-grid__col--span-10 glue-grid__col--span-9-md glue-grid__col--span-10-lg"> </div> </div> </div> </section> <section class="offset-two-up --research-areas"> <div class="glue-page glue-grid"> <div class="offset-two-up__left-col glue-grid__col glue-grid__col--span-4-sm glue-grid__col--span-12-md glue-grid__col--span-3-lg"> <h3 class="offset-two-up__headline headline-3">Research Areas</h3> </div> <div class="glue-grid__col glue-grid__col--span-4-sm glue-grid__col--span-12-md glue-grid__col--span-9-lg"> <ul class="card-stack--small nested-glue-grid-override"> <li class="glue-grid__col glue-grid__col--span-6-md glue-grid__col--span-4-sm"> <a class="glue-card not-glue glue-card--small" href="/research-areas/distributed-systems-and-parallel-computing/"> <div class="glue-card__inner"> <div class="glue-card__content"> <div class="content-wrapper"> <p class="glue-headline body js-gt-item-id"> Distributed Systems and Parallel Computing </p> </div> <div class="glue-card__cta glue-card__cta--arrow"> <span class="glue-button glue-button--low-emphasis glue-button--icon"> <svg role="presentation" aria-hidden="true" class="glue-icon "> <use href="/gr/static/assets/icons/glue-icons.svg#arrow-forward"></use> </svg> </span> </div> </div> </div> </a> </li> <li class="glue-grid__col glue-grid__col--span-6-md glue-grid__col--span-4-sm"> <a class="glue-card not-glue glue-card--small" href="/research-areas/networking/"> <div class="glue-card__inner"> <div class="glue-card__content"> <div class="content-wrapper"> <p class="glue-headline body js-gt-item-id"> Networking </p> </div> <div class="glue-card__cta glue-card__cta--arrow"> <span class="glue-button glue-button--low-emphasis glue-button--icon"> <svg role="presentation" aria-hidden="true" class="glue-icon "> <use href="/gr/static/assets/icons/glue-icons.svg#arrow-forward"></use> </svg> </span> </div> </div> </div> </a> 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headline-6 glue-link" href=https://research.google/pubs/distributed-tracing-for-interplanetary-file-system-2/ > Distributed Tracing for InterPlanetary File System </a> <div class="row-card__subheading"> <div class="row-card__subheading__item extra-small-text"> <a class="row-card__small-link" href="/people/sushantgupta/"> Sushant Gupta </a> </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> Haorui Guo </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> Rachel Han </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> Marshall David Miller </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> 2024 International Symposium on Parallel Computing and Distributed Systems (PCDS), IEEE, pp. 1-5 </div> </div> </div> <div class="row-card__cta headline-6"> <div class="glue-tooltip" data-glue-tooltip-auto-position="false"> <button class="glue-button glue-button--low-emphasis glue-tooltip__trigger" aria-describedby=tooltip-contentthe-interplanetary-file-system-ip tabindex=0 > <span class="js-gt-item-id">Preview</span> </button> <span id="tooltip-contentthe-interplanetary-file-system-ip" class="glue-tooltip__content" role="tooltip"> <span data-tooltip-type="simple"> Preview abstract </span> <span data-tooltip-type="rich"> <span class="glue-tooltip__body">The InterPlanetary File System (IPFS) is on its way to becoming the backbone of the next generation of the web. However, it suffers from several performance bottlenecks, particularly on the content retrieval path, which are often difficult to debug. This is because content retrieval involves multiple peers on the decentralized network and the issue could lie anywhere in the network. Traditional debugging tools are insufficient to help web developers who face the challenge of slow loading websites and detrimental user experience. This limits the adoption and future scalability of IPFS. In this paper, we aim to gain valuable insights into how content retrieval requests propagate within the IPFS network as well as identify potential performance bottlenecks which could lead to opportunities for improvement. We propose a custom tracing framework that generates and manages traces for crucial events that take place on each peer during content retrieval. The framework leverages event semantics to build a timeline of each protocol involved in the retrieval, helping developers pinpoint problems. Additionally, it is resilient to malicious behaviors of the peers in the decentralized environment. We have implemented this framework on top of an existing IPFS implementation written in Java called Nabu. Our evaluation shows that the framework can identify network delays and issues with each peer involved in content retrieval requests at a very low overhead.</span> <a class="glue-button glue-button--low-emphasis" href="https://research.google/pubs/distributed-tracing-for-interplanetary-file-system-2/" > <span class="js-gt-item-id">View details</span> </a> </span> </span> </div> </div> </div> </div> <div class="row-card"> <div class="row-card__container"> <div class="row-card__body"> <a class="row-card__heading headline-6 glue-link" href=https://research.google/pubs/on-chain-crypto-secured-credential-verification-on-permissioned-blockchain/ > On-Chain Crypto-Secured Credential Verification On Permissioned Blockchain </a> <div class="row-card__subheading"> <div class="row-card__subheading__item extra-small-text"> <a class="row-card__small-link" href="/people/sushantgupta/"> Sushant Gupta </a> </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> 2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS), IEEE, pp. 1-6 </div> </div> </div> <div class="row-card__cta headline-6"> <div class="glue-tooltip" data-glue-tooltip-auto-position="false"> <button class="glue-button glue-button--low-emphasis glue-tooltip__trigger" aria-describedby=tooltip-contentverifying-credentials-such-as-edu tabindex=0 > <span class="js-gt-item-id">Preview</span> </button> <span id="tooltip-contentverifying-credentials-such-as-edu" class="glue-tooltip__content" role="tooltip"> <span data-tooltip-type="simple"> Preview abstract </span> <span data-tooltip-type="rich"> <span class="glue-tooltip__body">Verifying credentials, such as educational degrees, professional licenses, and permits, is a crucial yet challenging task for organizations globally. Traditional verification methods often rely on third-party vendors, introducing vulnerabilities like bias, security breaches, and privacy risks. While blockchain technology offers a promising solution for credential management, existing approaches often store sensitive credential data off-chain in centralized databases or InterPlanetary File System (IPFS), leaving them susceptible to data breaches and loss. This paper presents a novel, privacy-preserving credential verification system built on a permissioned blockchain network. This system, implemented using the Hyperledger Fabric framework, offers several key advantages over traditional methods, including enhanced security and improved privacy. By leveraging cryptographic techniques, the system ensures the robust and privacypreserving storage of credentials directly on the blockchain. This eliminates the reliance on vulnerable off-chain storage and mitigates associated risks. Furthermore, our analysis of a common credential dataset demonstrates the practical feasibility and cost-effectiveness of our solution, suggesting its widespread adoption. By addressing the limitations of both traditional and existing blockchain-based approaches, our system provides a robust, secure, and efficient solution for credential management in diverse sectors.</span> <a class="glue-button glue-button--low-emphasis" href="https://research.google/pubs/on-chain-crypto-secured-credential-verification-on-permissioned-blockchain/" > <span class="js-gt-item-id">View details</span> </a> </span> </span> </div> </div> </div> </div> <div class="row-card"> <div class="row-card__container"> <div class="row-card__body"> <a class="row-card__heading headline-6 glue-link" href=https://research.google/pubs/distributed-tracing-for-interplanetary-file-system/ > Distributed Tracing for InterPlanetary File System </a> <div class="row-card__subheading"> <div class="row-card__subheading__item extra-small-text"> <a class="row-card__small-link" href="/people/sushantgupta/"> Sushant Gupta </a> </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> Marshall David Miller </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> Rachel Han </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> Haorui Guo </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> 2024 </div> </div> </div> <div class="row-card__cta headline-6"> <div class="glue-tooltip" data-glue-tooltip-auto-position="false"> <button class="glue-button glue-button--low-emphasis glue-tooltip__trigger" aria-describedby=tooltip-contentthe-interplanetary-file-system-ip tabindex=0 > <span class="js-gt-item-id">Preview</span> </button> <span id="tooltip-contentthe-interplanetary-file-system-ip" class="glue-tooltip__content" role="tooltip"> <span data-tooltip-type="simple"> Preview abstract </span> <span data-tooltip-type="rich"> <span class="glue-tooltip__body">The InterPlanetary File System (IPFS) is on its way to becoming the backbone of the next generation of the web. However, it suffers from several performance bottlenecks, particularly on the content retrieval path, which are often difficult to debug. This is because content retrieval involves multiple peers on the decentralized network and the issue could lie anywhere in the network. Traditional debugging tools are insufficient to help web developers who face the challenge of slow loading websites and detrimental user experience. This limits the adoption and future scalability of IPFS. In this paper, we aim to gain valuable insights into how content retrieval requests propagate within the IPFS network as well as identify potential performance bottlenecks which could lead to opportunities for improvement. We propose a custom tracing framework that generates and manages traces for crucial events that take place on each peer during content retrieval. The framework leverages event semantics to build a timeline of each protocol involved in the retrieval, helping developers pinpoint problems. Additionally, it is resilient to malicious behaviors of the peers in the decentralized environment. We have implemented this framework on top of an existing IPFS implementation written in Java called Nabu. Our evaluation shows that the framework can identify network delays and issues with each peer involved in content retrieval requests at a very low overhead.</span> <a class="glue-button glue-button--low-emphasis" href="https://research.google/pubs/distributed-tracing-for-interplanetary-file-system/" > <span class="js-gt-item-id">View details</span> </a> </span> </span> </div> </div> </div> </div> <div class="row-card"> <div class="row-card__container"> <div class="row-card__body"> <a class="row-card__heading headline-6 glue-link" href=https://research.google/pubs/statistical-analysis-of-cardiovascular-diseases-dataset-of-brfss/ > Statistical Analysis of Cardiovascular Diseases Dataset of BRFSS </a> <div class="row-card__subheading"> <div class="row-card__subheading__item extra-small-text"> <a class="row-card__small-link" href="/people/sushantgupta/"> Sushant Gupta </a> </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> Ashank Anshuman </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> Aakarshit Uppal </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> Indrajit Mukherjee </div> <div class="row-card__subheading__spacer"></div> <div class="row-card__subheading__item extra-small-text"> Open Access Library Journal, 11 (2024) </div> </div> </div> <div class="row-card__cta headline-6"> <div class="glue-tooltip" data-glue-tooltip-auto-position="false"> <button class="glue-button glue-button--low-emphasis glue-tooltip__trigger" aria-describedby=tooltip-contentcardiovascular-diseases-cvds-rem tabindex=0 > <span class="js-gt-item-id">Preview</span> </button> <span id="tooltip-contentcardiovascular-diseases-cvds-rem" class="glue-tooltip__content" role="tooltip"> <span data-tooltip-type="simple"> Preview abstract </span> <span data-tooltip-type="rich"> <span class="glue-tooltip__body">Cardiovascular Diseases (CVDs) remain a leading cause of death in the United States. These diseases, including coronary heart disease, heart attack, and stroke, pose significant health risks. Accurate prediction of CVD probability can aid in prevention and management. To address this challenge, we analyzed data from the Behavioral Risk Factor Surveillance System (BRFSS) spanning 1995-2017. We developed innovative methods to handle missing data and normalize values. Deep learning models were employed to predict risk factors and, subsequently, the likelihood of CVDs. Our models were implemented using TensorFlow and trained on a high-performance computing server. The models accurately predicted risk factors with over 90% accuracy, enabling targeted interventions. We successfully predicted CVD probability with greater than 95% accuracy, providing valuable insights for healthcare providers. An online portal was developed to forecast CVD trends over the next 31 years, facilitating proactive planning and resource allocation.</span> <a class="glue-button glue-button--low-emphasis" href="https://research.google/pubs/statistical-analysis-of-cardiovascular-diseases-dataset-of-brfss/" > <span class="js-gt-item-id">View details</span> </a> </span> </span> </div> </div> </div> </div> </div> <div class="filtered-list-base__pagination" data-hot-swap="pagination"> </div> </div> </div> </section> <section class="google_scholar_search">  <a href="#" class="js-google-scholar-search-link glue-button glue-button--low-emphasis glue-button--icon" title="See more related publications on Google Scholar" target="_blank"> <svg role="presentation" aria-hidden="true" class="glue-icon glue-icon--24px "> <use href="/gr/static/assets/icons/glue-icons.svg#open-in-new"></use> </svg> Search on Google Scholar </a> </section> </div> <section class="banner --theme-" data-gt-id="banner" 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