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Search Publications by: Ram D. Sriram (Fed)

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Displaying 1 - 25 of 310

An Infrastructure for Curating, Querying, and Augmenting Document Data: COVID-19 Case Study

August 8, 2023
Author(s)
Eswaran Subrahmanian, Guillaume Sousa Amaral, Talapady N. Bhat, Mary C. Brady, Kevin G. Brady, Jacob Collard, Sarra Chouder, Philippe Dessauw, Alden A. Dima, John T. Elliott, Walid Keyrouz, Nicolas Lelouche, Benjamin Long, Rachael Sexton, Ram D. Sriram
With the advent of the COVID-19 pandemic, there was the hope that data science approaches could help discover means for understanding, mitigating, and treating the disease. This manifested itself in the creation of the COVID-19 Open Research Dataset (CORD

Computational Study of the Allosteric Effects of p5 on the CDK5-p25 Hyperactivity as Alternative Inhibitory Mechanisms in Neurodegeneration

June 30, 2022
Author(s)
Tejaswi Tammareddy, Walid Keyrouz, Ram D. Sriram, Harish C. Pant, Antonio Cardone, Jeffery B. Klauda
The cyclin-dependent kinase (CDK5) forms a stable complex with its activator p25, leading to the hyperphosphorylation of tau proteins and to the formation of plaques and tangles that are considered to be one of the typical causes of Alzheimer's disease (AD

Making Semantic Structures Explicit: Developing and Evaluating Tools and Techniques to Support Understanding of Large Cybersecurity Corpora

February 4, 2022
Author(s)
Ira Monarch, Jacob Collard, Sangjin Shin, Eswaran Subrahmanian, Talapady N. Bhat, Ram D. Sriram
This report describes the adaptation, composition and use of natural language processing, machine learning and other computational tools to help make implicit informational structures in very large technical corpora explicit. The tools applied to the

Data Standards in Proteomics: Promises and Challenges

October 12, 2021
Author(s)
Veerasamy Ravichandran, Ram D. Sriram, G L. Gilliland, S Srivastava
Rapid advances in the field of proteomics are yielding abundant data in many formats that, because of the vast quantity and complexity, are becoming increasingly difficult to analyze. A strategic objective of streamlining the transfer of knowledge and

Deconstructing UML, Part 1: Modeling Classes with Categories

May 13, 2021
Author(s)
Sarala Padi, Spencer J. Breiner, Eswaran Subrahmanian, Ram D. Sriram
In this paper we analyze elements of the Unified Modeling Language (UML), specifically the class diagram, and propose an simplified alternative language based on a branch of mathematics called category theory (CT). We argue that modeling in CT provides a

Compositional Models for Complex Systems

January 19, 2019
Author(s)
Spencer J. Breiner, Ram D. Sriram, Eswaran Subrahmanian
In this chapter we argue for the use of representations from category theory to support better models for complex systems, and provide an example of such an application might look like. Our approach rests on the well known observation that complex system

Generating Domain Terminologies using Root- and Rule-Based Terms

December 21, 2018
Author(s)
Talapady N. Bhat, John T. Elliott, Ursula R. Kattner, Carelyn E. Campbell, Eswaran Subrahmanian, Ram D. Sriram, Jacob Collard, Monarch Ira
Motivated by the need for exible, intuitive, reusable, and normalized ter- minology for the semantic web, we present a general approach for generat- ing sets of such terminologies from nat- ural language documents. The terms that this approach generates

Modeling, Validation and Verification of Three-Dimensional Cell-Scaffold Contacts from Terabyte- sized Images

December 1, 2017
Author(s)
Peter Bajcsy, Sowon Joy Yoon, Stephen Florczyk, Nathan Hotaling, Mylene H. Simon, Piotr Szczypinski, Nicholas J. Schaub, Carl G. Simon Jr., Mary C. Brady, Ram D. Sriram
Background: Cell-scaffold contact measurements are derived from pairs of co-registered volumetric fluorescent confocal laser scanning microscopy (CLSM) images (z-stacks) of stained cells and spun coat, large microfiber, and medium microfiber scaffolds. Our

Modeling the Internet of Things (& People): A Foundational Approach

November 16, 2017
Author(s)
Spencer J. Breiner, Eswaran Subrahmanian, Ram D. Sriram
This talk provides an overview of recent NIST work in the Internet of Things (IoT) domain in the Information Technology Laboratory. We begin with some examples and illustrations of the range of IoT systems. In addition to the obvious cyber physical aspects

Towards a Platform for Community-centric Smart Connected Services

April 18, 2017
Author(s)
Eswaran Subrahmanian, Ram D. Sriram, Ramesh Jain
All cities can be seen as a collection of commons. Commons are spaces, services and resources shared by the citizenry. Any change in the state of any one of the commons could lead to a potential action or actions. In this paper we illustrate the use of a

A Category Theoretic Approach to Modeling and Analysis Using Music as a Case Study

January 31, 2017
Author(s)
Sarala Padi, Spencer J. Breiner, Eswaran Subrahmanian, Ram D. Sriram
The goal of this paper is to provide a category theoretic ontology for the creation of a collaborative platform where it allows group of people to share or use the knowledge in a domain. We use Indian music as a case study to demonstrate the power of

Modeling the Internet of Things and People: A Foundational Approach

November 1, 2016
Author(s)
Spencer J. Breiner, Eswaran Subrahmanian, Ram D. Sriram
As we extend the reach of the Internet through sensing and automation, networked systems interact more and more of our daily lives, requiring much greater sensitivity to social networks and greater robustness in the face of human behavior. A tremendous