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)
ITLab organized the workshop - "Analysis of Social and Other Complex Networks and Result Visualization" at OurCS@DFW from February 14-16, 2020
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Sharma Chakravarthy is a Fulbright Specialist (2019-2022)
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2019
IT Lab paper on "Query Processing on Large Graphs: Approaches to
Scalability and Response Time Trade-Offs" will appear in
Data and Knowledge Engineering Journal (DKE), 2019
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Sharma Chakravarthy and Abhishek Santra are giving a Tutorial on Big Data Analytics
using Multilayer Networks at BDA 2019 in Ahmedabad, India
Sharma Chakravarthy is a PC co-chair for DEXA 2019
in Linz, Austri.
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2018
IT Lab paper "Duplicate Reduction in Graph Mining: Approaches,
Analysis, and Evaluation" was accepted to TKDE (IEEE Trans. on
Knowkledge and Data Engineering", 2018
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Sharma Chakravarthy give an invited talk at BDA 2018
in Warangal, India in Dec 2018. Title: Humble Data Management to
Big Data Analytics/Science: A Retrospective Stroll
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The Swedish Foundation for International Cooperation in Research and Higher Education (STINT) has funded a project - "Multilayer Networks Approach to Community Detection in Heterogeneous Personal Data" for 1 year (2018) (Lili Jiang - PI from Sweden, Sharma Chakravrthy - PI from USA).
