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is . The University of Texas at Arlington Information Technology Laboratory (Location: ERB 514) College of Engineering Home Teaching People Current Alumni Research Current Projects Past Projects Publications Contact Us Sharma Chakravarthy ImageSharma Chakravarthy, Professor Computer Science and Engineering Department The University of Texas at Arlington (aka UT Arlington or UTA) Office: ERB 632 Email : sharmac[at]cse[dot]uta[edu] Weekly Meeting Schedule (Spring 2024) weekly meeting schedule (Spring 2024)Long Vitae (as of Aug 17, 2019): Last updated 3 mins agoMLN-geeWhiz : Dashboard for MultiLayer Network Generation, Analysis, Drill-Down, and Visualization is LIVE ! CoWiz or Covid Wizard : Interactive Analysis and Visualization of Covid-19 Data using Multilayer Networks (or MLNs) [4500+ Hits from 20+ Countries] MLN-DIVE : Lecture Series Archive held in 2022 Research Opportunities: IT Lab is always looking for REU students ( undergraduates who are Citizens, US nationals, or permanent residents of United States ) to work on various implementation projects and dashboards. Please take a look at the dashboards and if you get interested, please contact me by email. Others, interested, can also reach out to us. 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 UTA) is actively involved in research and development on all aspects of information technology: Big data analytics, mining, machine learning, optimization, scalability, and information fusion/ibtegration. The vision of IT Lab can be summarized as: Carry out both fundamental theoretical and practically applicable research & development Interact and collaborate with industry/Govt/federal agencies and academia for identifying fundamental problems Provide a viable migration path (transition) 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 dealing with large, diverse data types. 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 student participation and learning, understanding, and practcal application of concepts! BPC : 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 email your CV and your ineterests Motto: Complex Data Analysis: Load data.Analyze.Visualize.Share.Interact.Learn! Please look around and enjoy! Sharma Chakravarthy Latest News & Events - ITLab News Letter Spring 2024 Spring 2021 CoWiz Dashboard- 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 ) - 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 ) - ITLab Students received awards at the COE Academic Excellence Ceremony 2024 : Amey Shinde (Raytheon Outstanding Professional Software Engineering Student Award), Viraj Sabhaya (Nokia Outstanding Professional Computer Science Student Award), Arshdeep Singh (Outstanding Master’s Student Award), Kiran Bolaj (Jeff and Lisa Smith Outstanding Graduate Researcher Scholarship). - 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. - - 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 )ITLab Logo More News Information Technology Lab 514 Engineering Research Building Email: sharmac[at]cse[dot]uta[dot]edu Our Facebook Page Our Twitter Page Our Instagram PagePrivacy and Legal Notice | Accessibility | Site Policies © 2022 The University of Texas at...