---
title: "Vivek Seshadri — author profile and papers — Elamur Research"
description: "Vivek Seshadri: 2 papers on Elamur Research (2018–2026), h-index 29 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/vivek-seshadri/"
---
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# Vivek Seshadri

Vivek Seshadri has 2 papers in our library, in 2018–2026, most of them on [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Amar Phanishayee](https://md.research.elamur.ai/free/en/authors/amar-phanishayee/), [Deepak Narayanan](https://md.research.elamur.ai/free/en/authors/deepak-narayanan/).

2 papers in our library · 2018–2026

[OpenAlex](https://openalex.org/A5029415636) · [ORCID](https://orcid.org/0009-0000-4388-4246) · [Wikidata](https://www.wikidata.org/wiki/Q102449915) · [**h-index 29**](https://openalex.org/authors/A5029415636) · [102 works](https://openalex.org/works?filter=author.id:A5029415636) · [5,384 citations](https://openalex.org/works?filter=author.id:A5029415636&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/vivek-seshadri/#papers) · [🔗 Cited 74 times in our library](https://md.research.elamur.ai/free/en/authors/vivek-seshadri/cited-by/) · [⭐ Paper Stars ranking: #6935](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6935)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Vivek+Seshadri) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Vivek+Seshadri) · [dblp](https://dblp.org/search?q=Vivek+Seshadri) · [ACL Anthology](https://aclanthology.org/search/?q=Vivek+Seshadri)

## Affiliations

[🎓**Carnegie Mellon University** Pittsburgh · United States 2011–2018 · 32 papersEducation](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**Microsoft Research** Bengaluru · India 2017–2024 · 21 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research/) · [🏢**Microsoft** Redmond · United States 2017–2025 · 12 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**AT&T** Bedminster · United States 1994–2005 · 6 papers](https://md.research.elamur.ai/free/en/companies/at-t/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/vivek-seshadri/year/2026/)

### 2010s

[**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/vivek-seshadri/year/2018/)

## Papers

The most cited first (OpenAlex and our library).

1. **[PipeDream: Fast and Efficient Pipeline Parallel DNN Training](https://md.research.elamur.ai/free/en/papers/harlap-2018-pipedream-fast-efficient-pipeline-parallel/)** *(2018 · 162 citations)* Data-parallel DNN training gives every GPU a full model copy and synchronizes weights after each step. As models grow and GPUs get faster, network traffic increasingly dominates runtime. For VGG16, it can take up to 85% of training time. Classic model parallelism avoids exchanging all weights but leaves most workers…
2. **[Same-Language Subtitles for Low-resource Languages: A Case of Bundelkhandi](https://md.research.elamur.ai/free/en/papers/pradhan-2026-same-language-subtitles-low-resource/)** *(2026)* Regional-language YouTube videos in India rarely have same-language subtitles. This hurts accessibility for hearing-impaired viewers, limits engagement for independent creators, and leaves researchers without transcribed material. Because automatic captions still trail human ones in accuracy, the authors propose…

## Co-authors here

2 co-authors with a page, the most papers together first.

- [Amar Phanishayee](https://md.research.elamur.ai/free/en/authors/amar-phanishayee/)
- [Deepak Narayanan](https://md.research.elamur.ai/free/en/authors/deepak-narayanan/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/)

## Cited by

Papers of our library cite their works 74 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/vivek-seshadri/cited-by/).

Updated 2 November 2026
