# Padma Raghavan

> computer scientist

**Wikidata**: [Q24053958](https://www.wikidata.org/wiki/Q24053958)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Padma_Raghavan)  
**Source**: https://4ort.xyz/entity/padma-raghavan

## Summary
Padma Raghavan is an American computer scientist recognized as an IEEE Fellow. She specializes in computational mathematics and scientific computing and has held academic positions at institutions including Vanderbilt University, Pennsylvania State University, and the University of Tennessee.

## Biography
- **Born:** 2000
- **Nationality:** United States
- **Education:** Pennsylvania State University, Indian Institute of Technology Kharagpur
- **Known for:** Computational mathematics and scientific computing
- **Employer(s):** Vanderbilt University (Department of Electrical Engineering and Computer Science, as of 2020), Pennsylvania State University, University of Tennessee
- **Field(s):** Computer Science

## Contributions
Padma Raghavan's work centers on developing computational methods for solving large-scale scientific problems. She has authored significant research in parallel algorithms, sparse matrix computations, and numerical linear algebra. Her contributions include foundational work in graph partitioning and load balancing techniques crucial for efficient parallel processing. As an IEEE Fellow, her research has impacted the development of robust computational tools used in scientific simulations across various disciplines. She has advised multiple doctoral students, including Keita Teranishi, Ingyu Lee, and Sanjukta Bhowmick, contributing to the next generation of researchers in computational science and engineering. Her publications, indexed under her DBLP ID (96/6134) and MR Author ID (263454), form a substantial body of work addressing complex computational challenges.

## FAQs
### Q: Where is Padma Raghavan currently employed?
A: As of March 2020, Padma Raghavan is affiliated with the Vanderbilt Department of Electrical Engineering and Computer Science at Vanderbilt University.

### Q: What significant award has Padma Raghavan received?
A: Padma Raghavan was named an IEEE Fellow, a prestigious recognition for her contributions to computational science and engineering.

### Q: Who was Padma Raghavan's doctoral advisor?
A: Her doctoral advisor was Alex Pothen, according to the provided source material.

### Q: What institutions did Padma Raghavan attend for her education?
A: Padma Raghavan was educated at Pennsylvania State University and the Indian Institute of Technology Kharagpur.

### Q: How can I find Padma Raghavan's academic publications?
A: Her publications are indexed under DBLP author ID 96/6134 and MathSciNet MR Author ID 263454, and her Google Scholar ID is JDctypMAAAAJ.

## Why They Matter
Padma Raghavan's research has fundamentally advanced the field of computational science by developing efficient algorithms for solving complex scientific problems. Her work in parallel computing and sparse matrix computations provides essential tools that enable researchers across disciplines to tackle previously intractable simulations. As an educator and advisor, she has directly mentored several doctoral students who are now contributing to the field. Her recognition as an IEEE Fellow underscores the significant impact and lasting value of her technical contributions. Without her work, the scalability and efficiency of large-scale scientific computing would be significantly hindered.

## Notable For
- **IEEE Fellow:** Recognized for contributions to computational science and engineering.
- **Academic Leadership:** Held faculty positions at Vanderbilt University, Pennsylvania State University, and the University of Tennessee.
- **Doctoral Advisor:** Mentored multiple doctoral students, including Keita Teranishi, Ingyu Lee, Sanjukta Bhowmick, Anirban Chatterjee, Joshua Dennis Booth, and Humayun Kabir.
- **Computational Research Pioneer:** Developed foundational algorithms for parallel computing, sparse matrices, and graph partitioning.
- **Cross-Institutional Affiliation:** Maintained significant research and teaching roles across multiple leading US universities.

## Body
### Background and Identity
Padma Raghavan is an American computer scientist and human, born in 2000. Her citizenship is the United States.

### Education
- **Pennsylvania State University:** Attended for advanced degrees.
- **Indian Institute of Technology Kharagpur:** Attended for education.
- **Doctoral Advisor:** Alex Pothen.

### Academic Career & Affiliations
- **Current (as of 2020):** Affiliated with the Vanderbilt Department of Electrical Engineering and Computer Science, Vanderbilt University.
- **Past Employers:**
  - Pennsylvania State University
  - University of Tennessee (affiliation noted with a reference point of July 4, 2019)
- **Role:** Computer Scientist, primarily focused on computational mathematics and scientific computing.

### Research Focus
- **Computational Mathematics:** Developing algorithms and methods for scientific problem-solving.
- **Scientific Computing:** Building tools for large-scale simulations and computations.
- **Specific Areas:** Parallel algorithms, sparse matrix computations, graph partitioning, load balancing, numerical linear algebra.

### Scholarly Recognition
- **IEEE Fellow:** Awarded for distinguished contributions to the field.
- **Author Identifiers:**
  - DBLP Author ID: 96/6134
  - MathSciNet (MR) Author ID: 263454
  - Google Scholar Author ID: JDctypMAAAAJ
- **Mathematics Genealogy Project ID:** 59066
- **Google Knowledge Graph ID:** /g/11cn6cv02m

### Mentoring
Padma Raghavan has supervised several doctoral students:
- Keita Teranishi
- Ingyu Lee
- Sanjukta Bhowmick
- Anirban Chatterjee
- Joshua Dennis Booth
- Humayun Kabir

### Online Presence
- **Wikipedia:** Exists (Padma Raghavan) in multiple languages (Commons, English, Punjabi, Tamil).
- **Wikidata:** Exists with ID Q8142679.
- **Wikimedia Commons:** Category exists (Padma Raghavan).
- **Sitelinks:** Has 4 sitelinks across projects.

## References

1. [Source](https://engineering.vanderbilt.edu/eecs/faculty-staff/index.php)
2. Mathematics Genealogy Project
3. dblp computer science bibliography