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News and Events

2020

Abhishek Santra virtually defended on July 24, 2020. His PhD thesis title was: Analysis of Complex Data Sets Using Multilayer Networks: A Decoupling-based Framework. His Committee members were Dr. Gautam Das, Dr. Ramez Elmasri, Dr. Sanjukta Bhowmick and Mr. David Levine.
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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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Anish Rai graduated in May 2020. His MS thesis title was - MLN-Subdue: Decoupling Approach-Based Substructure Discovery In Multilayer Networks (MLNs).
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Harshit Ashokkumar Modi graduated in May 2020. His MS thesis title was - MR QP: A Scalable Approach To Query Processing on Arbitrary-Size Graphs Using The Map/Reduce Framework.
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ITLab students won FIRST (How to analyze Social and other Complex Networks? - Abhishek Santra, Sonika Sarangi) and RUNNER-UP POSITION (Querying and Analysis of Video Streams using Stream Processing Techniques - Aleksandar Aleksandric, Saloni Shah) for Research Poster Exhibition at Student Computing Research Festival (SCRF) on February 17, 2020
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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
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Thanksgiving Lunch on November 22, 2019
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Kanthi Sannappa Komar graduated in Aug 2019. Her MS thesis title was: Data-Driven Modeling of Heterogeneous Multilayer Networks And Their Community-Based Analysis Using Bipartite Graphs.
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The paper - "Generic Multilayer Network Data Analysis with the Fusion of Content and Structure" presented at the 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019) on April 8, 2019 held at La Rochelle, France (Xuan-Son Vu, Abhishek Santra, Dr. Sharma Chakravarthy, Dr. Lili Jiang).
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Sharma Chakravarthy is ACM Distingusighed Speaker
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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).
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Mayur Arora graduated in April 2018. His Master thesis title was - MavVStream: Expressing and Processing Situations on Videos Using the Stream Processing Paradigm.
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The paper - "Duplicate Reduction in Graph Mining: Approaches, Analysis, and Evaluation" got published in Volume PP Issue 99 of IEEE Transactions on Knowledge and Data Engineering (Soumyava Das, Dr. Sharma Chakravarthy).
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2017

Dr. Sharma Chakravarthy is the program chair for the 5th International Conference on Big Data Analytics (BDA 2017) to be held in Hyderabad, India from December 12 - 15, 2017.
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The paper - "Holistic Analysis of Multi-Source, Multi-Feature Data: Modeling and Computation Challenges" presented at the 5th International Conference on Big Data Analytics (BDA 2017) on December 15, 2017 held at Hyderabad, India (Abhishek Santra, Dr. Sanjukta Bhowmick).
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The paper - "HUBify: Efficient Estimation of Central Entities across Multiplex Layer Compositions" presented at the 7th IEEE ICDM Workshop on Data Mining in Networks on November 18, 2017 held at New Orleans, USA (Abhishek Santra, Dr. Sanjukta Bhowmick, Dr. Sharma Chakravarthy).
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Dr. Sharma Chakravarthy is the program chair for the 19th International Conference on Big Data Analytics and Knowledge Discovery - DaWaK 2017 to be held in Lyon, France from August 28 - 31, 2017.
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Abhishek Santra, Dr. Sanjukta Bhowmick and Dr. Sharma Chakravarthy published a paper titled Efficient Community Re-creation in Multilayer Networks Using Boolean Operations at ICCS 2017.
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Soumyava Das graduated in May 2017. His PhD thesis title was - Divide and Conquer Approach to Scalable Substructure Discovery: Partitioning Schemes, Algorithms, Optimization and Performance Analysis Using Map/Reduce Paradigm.
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2016

Manish K. Annappa graduated in December 2016. His thesis title was - Extracting and Modeling Useful Information from Videos for Supporting Continuous Queries.
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Manish K. Annappa presented a poster titled Pre-processing of Video Streams for Extracting Queryable Representation of Its Contents at ISVC 2016.
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Soumyava Das, Ankur Goyal and Sharma Chakravarthy published the paper Plan Before You Execute: A Cost-Based Query Optimizer for Attributed Graph Databases in DaWak 2016.
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Mr. Jay D. Bodra graduated in May 2016. His MS Thesis topic was PROCESSING QUERIES OVER PARTITIONED GRAPH DATABASES: AN APPROACH AND IT'S EVALUATION.
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2015

Mr. Soumyava Das interned at StumbleUpon from May 2015 August 2015.
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Ankur Goyal graduated in December 2015. His thesis title was - QP-SUBDUE: Processing Queries Over Graph Databases.
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