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*** Covid-19 Dashboard (V 1.0 Launched): Analysis and Visualization of Covid-19 Data using Multilayer Networks (or MLNs) ***

Sharma Chakravarthy, Professor

Computer Science and Engineering Department
The University of Texas at Arlington (aka UT Arlington)

Office: ERB 632
Email id: sharmac[at]cse[dot]uta[dot]edu
Long Vitae (as of Aug 17, 2019):

Welcome to my research and teaching home page!

My computer science research has spanned 40+ years (starting in 1975 at TIFR, Bombay, India) based on the philosophy briefly outlined below. My teaching philosophy and the courses i have taught can be found under the teaching tab.

The Information Technology Laboratory or IT Lab (part of the CSE Department at UT Arlington or UTA) is actively involved in research and development on all aspects of information technology: retrieval, management, mining, analysis, optimization, scalability, and fusion.

The vision of this lab can be summarized as:

  • Carry out both fundamental theoretical and practically applicable research & development
  • Interact and collaborate with industry/federal agencies and academia for identifying fundamental problems
  • Provide a viable migration path for integrating new techniques/solutions into real-world systems/applications

I am seeking industry collaborators and project partners to pursue solutions to problems that are of interest to IT industry. I am interested in transferring technology currently available at IT Lab to real-world applications. I am also interested in applying novel ways of teaching to maximize learning, understanding, and practcal application of concepts!

IT Lab wishes to recruit under-represented groups (females, hispanics/Latino, african-americans, ...) for STEM (Science, Technology, Engineering, and Math) research at both the graduate and undergraduate level. Please contact me using the email below.

If you would like to know more about the IT Lab and how to collaborate with us, please contact me at sharmac[at]cse[dot]uta[dot]edu

Motto: Making a difference in Data set analysis, knowledge extraction, and its application!  Please look around and enjoy!

--Sharma

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Latest News & Events

Covid-19 Dashboard
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Paper accepted to ER2020: EER→MLN: EER Approach For Modeling, Mapping, And Analyzing Complex Data Using Multilayer Networks (Kanthi Komar, Abhishek Santra, Sanjukta Bhowmick, Sharma Chakravarthy)
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NSF Grant (7/2020 to 6/2023), ~1M total: Collaborative Research: SHF: Medium: NetSplicer: Scalable Decoupling-Based Algorithms for Multilayer Network Analysis (UTA: Sharma Chakravarthy, UNT: Sanjukta Bhowmik, PSU: Kamesh Madduri)
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PhD Defense on 7/24/2020: Analysis of Complex Data Sets Using Multilayer Networks: A Decoupling-Based Framework (Abhishek Santra)
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More News
Department of Computer Science and Engineering