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Search Publications by: Sarala Padi (IntlAssoc)

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Displaying 1 - 7 of 7

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

Quantitative Bright-Field Microscopy Combined with Deep Neural Networks Predict Live Tissue Function

February 29, 2020
Author(s)
Carl Simon Jr., Nicholas J. Schaub, Petru S. Manescu, Sarala Padi, Mylene Simon, Peter Bajcsy, Nathan A. Hotaling, Joe Chalfoun, Mohamed Ouladi, Qin Wan, Kapil Bharti, Ruchi Sharma
Progressive increases in the number of cell therapies in the preclinical and clinical phases has prompted the need for reliable and non-invasive assays to validate transplant function in clinical biomanufacturing. Here, we developed a robust

Comparison of Artificial Intelligence based approaches to cell function prediction

July 11, 2019
Author(s)
Sarala Padi, Petru S. Manescu, Nicholas Schaub, Nathan Hotaling, Carl G. Simon Jr., Peter Bajcsy
Predicting Retinal Pigment Epithelium (RPE) cell functions in stem cell implants using non-invasive bright field microscopy imaging is a critical task for clinical deployment of stem cell therapies. Such cell function predictions can be carried out either

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