News and Events
2024
Amey Shinde and Kevin Farokhrouz presented MLN-geeWhiz at the CoE Banquet 2024.
---
2023
Kiran Bolaj defended her MS thesis titled, "HeMLN-SD: Substructure Discovery in Heterogeneous Multilayer Networks" on December 4, 2023
---
Arshdeep Singh defended his MS thesis titled, "HoMLN-SD: Substructure Discovery In Homogeneous Multilayer Networks" on December 1, 2023
---
Hafsa Billah’s presentation was judged the Best Overall Lightning Talk at the CSE 50th Anniversary Celebration.
---
Amey Shinde and Viraj Sabhaya received the Nokia Outstanding Professional CS Student 2023 award conferred by the College of Engineering.
---
NSF Grant (1/2023 to 12/2024 ), $298,830: CyberTraining: Pilot: Justice in Data: An intensive, mentored online bootcamp developing FAIR data competencies in undergraduate researchers in the water and energy sectors (PI: Jessica Eisma, Co-PIs: Sharma chakravarthy, Cory Forbes, and June Young Park)
---
Paper Published in Frontiers 2023: Abhishek Santra, Fariba Afrin Irany, Kamesh Madduri, Sharma Chakravarthy, Sanjukta Bhowmick: Efficient community detection in multilayer networks using boolean compositions. Frontiers in Big Data 2023, Volume 6.
---
Paper Published in ADBIS 2023: Hafsa Billah, Abhishek Santra, Sharma Chakravarthy: Video Situation Monitoring to Improve Quality of Life. ADBIS (Short Papers) 2023: 35-45
---
Paper Published in BDS 2023: Kiran Mukunda, Anamitra Roy, Abhishek Santra, Sharma Chakravarthy: Stress Centrality in Heterogeneous Multilayer Networks: Heuristics-Based Detection. BigDataService 2023: 103-110
---
Paper Published in BDS 2023: Abhishek Santra, Kiran Mukunda, Sharma Chakravarthy: Privacy and Anonymity For Multilayer Networks: A Reflection. BigDataService 2023: 205-209
---
Paper Published in BDS 2023: Viraj Sabhaya, Amey Shinde, Abhishek Santra, Sharma Chakravarthy: MLN-Visualizer: Interactive Visualization of Graphs and Multilayer Network Analysis Results. BigDataService 2023: 234-235
---
Paper Published in KDIR 2023: Hamza Reza Pavel, Anamitra Roy, Abhishek Santra, Sharma Chakravarthy: Closeness Centrality Detection in Homogeneous Multilayer Networks. KDIR 2023: 17-29
---
Paper Published in SEBD 2023: Kiran Mukunda, Abhishek Santra, Sharma Chakravarthy: The Challenge of Finding Degree Centrality Nodes in Heterogeneous Multilayer Networks. SEBD 2023: 335-348
---
2022
MLN-DIVE Lecture Series: organized from April 9, 2022 to June 11, 2022.
---
Paper Published in DKE 2022: Abhishek Santra, Kanthi Komar, Sanjukta Bhowmick, and Sharma Chakravarthy, “From base data to knowledge discovery – A life cycle approach –Using multilayer networks". In Data and Knowledge engineering (DKE) Journal , 141 (2022) 102058
---
2021
NSF Grant (10/2021 to 6/2023), ~100K Total: Collaborative Research: CCRI: Planning: A Multilayer Network (MLN) Community Infrastructure for Data, Interaction, Visualization, and softwarE (MLN-DIVE) (UTA: Sharma Chakravarthy, UNT: Sanjukta Bhowmik, PSU: Kamesh Madduri)
---
Kiran Mukunda defended his MS thesis titled, "Decoupling-based Approach to Centrality Detection in Heterogeneous Multilayer Networks" on July 28, 2021
---
2020
NSF Grant (7/2020 to 6/2025), ~1M total: Collaborative Research: SHF: Medium: NetSplicer: Scalable Decoupling-Based Algorithms for Multilayer Network Analysis (UTA: Sharma Chakravarthy, UNT: Sanjukta Bhowmik, PSU: Kamesh Madduri)
---
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.
---
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)
---
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)
---
Anish Rai graduated in May 2020. His MS thesis title was - MLN-Subdue: Decoupling Approach-Based Substructure Discovery In Multilayer Networks (MLNs).
---
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.
---
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
---
ITLab organized the workshop - "Analysis of Social and Other Complex Networks and Result Visualization" at OurCS@DFW from February 14-16, 2020
---
Sharma Chakravarthy is a Fulbright Specialist (2019-2022)
---
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
---
Sharma Chakravarthy and Abhishek Santra are giving a Tutorial on Big Data Analytics using Multilayer Networks at BDA 2019 in Ahmedabad, India
---
Thanksgiving Lunch on November 22, 2019
---
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.
---
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).
---
Sharma Chakravarthy is ACM Distingusighed Speaker
---
Sharma Chakravarthy is a PC co-chair for DEXA 2019 in Linz, Austri.
---
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
---
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
---
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).
---
Mayur Arora graduated in April 2018. His Master thesis title was - MavVStream: Expressing and Processing Situations on Videos Using the Stream Processing Paradigm.
---
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).
---
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.
---
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).
---
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).
---
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.
---
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.
---
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.
---
2016
Manish K. Annappa graduated in December 2016. His thesis title was - Extracting and Modeling Useful Information from Videos for Supporting Continuous Queries.
---
