Naren Ramakrishnan

Naren Ramakrishnan

Virginia Polytechnic Institute and State University

H-index: 67

North America-United States

About Naren Ramakrishnan

Naren Ramakrishnan, With an exceptional h-index of 67 and a recent h-index of 41 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of Data science, applied machine learning, recommender systems, computational epidemiology, visual analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Redistrict: Online Public Deliberation Support that Connects and Rebuilds Inclusive Communities

Laying Anchors: Semantically Priming Numerals in Language Modeling

Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems

Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling

Einns: Epidemiologically-informed neural networks

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

Redrawing Public School Boundaries: An Intersection of Geography, Education Policy, and Computer Science

Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency

Naren Ramakrishnan Information

University

Position

Thomas L. Phillips Professor of Engineering and Director @SanghaniCtrVT

Citations(all)

13806

Citations(since 2020)

6637

Cited By

9705

hIndex(all)

67

hIndex(since 2020)

41

i10Index(all)

252

i10Index(since 2020)

148

Email

University Profile Page

Virginia Polytechnic Institute and State University

Google Scholar

View Google Scholar Profile

Naren Ramakrishnan Skills & Research Interests

Data science

applied machine learning

recommender systems

computational epidemiology

visual analytics

Top articles of Naren Ramakrishnan

Title

Journal

Author(s)

Publication Date

Redistrict: Online Public Deliberation Support that Connects and Rebuilds Inclusive Communities

Andreea Sistrunk

Nathan Self

Subhodip Biswas

Kurt Luther

Nervo Verdezoto

...

2024

Laying Anchors: Semantically Priming Numerals in Language Modeling

arXiv preprint arXiv:2404.01536

Mandar Sharma

Rutuja Murlidhar Taware

Pravesh Koirala

Nikhil Muralidhar

Naren Ramakrishnan

2024/4/2

Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems

arXiv preprint arXiv:2402.01748

Shengzhe Xu

Christo Kurisummoottil Thomas

Omar Hashash

Nikhil Muralidhar

Walid Saad

...

2024/1/30

Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling

ACM Transactions on Knowledge Discovery from Data

Taoran Ji

Nathan Self

Kaiqun Fu

Zhiqian Chen

Naren Ramakrishnan

...

2024

Einns: Epidemiologically-informed neural networks

Proceedings of the AAAI Conference on Artificial Intelligence

Alexander Rodríguez

Jiaming Cui

Naren Ramakrishnan

Bijaya Adhikari

B Aditya Prakash

2023/6/26

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

medRxiv

Sarabeth M Mathis

Alexander E Webber

Avranil Basu

John M Drake

Lauren A White

...

2023

Redrawing Public School Boundaries: An Intersection of Geography, Education Policy, and Computer Science

Reports of the European Society of Socially Embedded Technologies

Andreea Sistrunk

Nathan Self

Subhodip Biswas

James A Egenrieder

Kurt Luther

...

2023/1

Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency

arXiv preprint arXiv:2305.08246

Mandar Sharma

Nikhil Muralidhar

Naren Ramakrishnan

2023/5/14

ML-assisted Optimization of Securities Lending

Abhinav Prasad

Prakash Arunachalam

Ali Motamedi

Ranjeeta Bhattacharya

Beibei Liu

...

2023/11/27

Using sensitivity analyses to understand bistable system behavior

BMC bioinformatics

Vandana Sreedharan

Upinder S Bhalla

Naren Ramakrishnan

2023/4/6

Redistrict: designing a self-serve interactive boundary optimization system

Andreea Sistrunk

Nathan Self

Subhodip Biswas

Kurt Luther

Nervo Verdezoto

...

2023/7/10

A machine learning approach to estimating the geographical origin of timber

J Truszkowski

R Maor

RB Yousuf

S Biswas

C Chater

...

2023/2/23

TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade

Information Visualization

Debanjan Datta

Nathan Self

John Simeone

Amelia Meadows

Willow Outhwaite

...

2023/7

A probabilistic approach to estimating timber harvest location

Jakub Michal Truszkowski

Roi Maor

Raquib Bin Yousuf

Subhodip Biswas

Caspar Chater

...

2023/2/22

Exploring tradeoffs in automated school redistricting: computational and ethical perspectives

Proceedings of the AAAI Conference on Artificial Intelligence

Fanglan Chen

Subhodip Biswas

Zhiqian Chen

Shuo Lei

Naren Ramakrishnan

...

2023/6/26

Memetic algorithms for Spatial Partitioning problems

ACM Transactions on Spatial Algorithms and Systems

Subhodip Biswas

Fanglan Chen

Zhiqian Chen

Chang-Tien Lu

Naren Ramakrishnan

2023/1/12

Redistricting Practices in Public Schools: Social Progress or Necessity?

Proceedings of 20th European Conference on Computer-Supported Cooperative Work

Andrea Sistrunk

Subhodip Biswas

Nathan Self

Kurt Luther

Naren Ramakrishnan

2022

Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions

arXiv preprint arXiv:2207.04029

Raquib Bin Yousuf

Subhodip Biswas

Kulendra Kumar Kaushal

James Dunham

Rebecca Gelles

...

2022/7/8

Knowledge-Guided Transfer Learning for Modeling Subsurface Phenomena Under Data Paucity

Nikhil Muralidhar

Nicholas Lubbers

Mohamed Mehana

Naren Ramakrishnan

Anuj Karpatne

2022/10/21

Blocking Influence at Collective Level with Hard Constraints (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence

Zonghan Zhang

Subhodip Biswas

Fanglan Chen

Kaiqun Fu

Taoran Ji

...

2022/6/28

See List of Professors in Naren Ramakrishnan University(Virginia Polytechnic Institute and State University)

Co-Authors

H-index: 129
Theodore (Ted) S. Rappaport

Theodore (Ted) S. Rappaport

New York University

H-index: 99
John Brownstein

John Brownstein

Harvard University

H-index: 73
Lise Getoor

Lise Getoor

University of California, Santa Cruz

H-index: 67
Tanzeem Choudhury

Tanzeem Choudhury

Cornell University

H-index: 60
Chris North

Chris North

Virginia Polytechnic Institute and State University

H-index: 56
Niklas Elmqvist

Niklas Elmqvist

University of Maryland

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