Dr. Lakshmi Chenna

• "Improving the performance of query processing using proposed resilient distributed processing technique." International Journal of Intelligent Computing and Cybernetics 14.2 (2021): 158-169.
• "Performance Comparison of Semantic Web Data Using Virtual and Cloud Services." Proceedings of the 2nd International Conference on Computational and Bio Engineering: CBE 2020. Springer Singapore, 2021.
• “A Survey Paper on Effective Query Processing for Semantic Web Data using Hadoop Components”, International Journal for Research in Applied Science & Engineering Technology, ISSN: 2321-9653, Volume 8, Issue XI, (2020).
• "Effective query processing for web-scale RDF data using Hadoop components." TEST Eng Manag 83 (2020): 5764-5769.
• A New Methodology for identifying node issues in network topologies, International Journal of Research, Vol-05, Issue-15 (2018) ISSN:2348-6848.
• "Survey paper on big data." International Journal of Advanced Research in Computer Science and Software Engineering 6.8 (2016): 368-381.
• Bug Triage with Software Data Reduction Technique”, International Journal of Innovative Technologies, ISSN:2321-8665, Vol.04, Issue.05, (2016).
• Computing Shortest Path Using Live Traffic Index, Journal Research in Electrical Electronics and Communications, V.No.3, Issue 2, ISSN 41222453, (2015).
• Confidential Conserve Public Auditing for Shared Cloud Data, International Journal of Emerging Technology in Computer Science and Electronics, ISSN:0976-1353 Vol:16 (2015).
• Fog Computing: Mitigating Insider Data Theft Attacks in the Cloud, International Forum of Researchers Students and Academician, V.No.3, Issue 2, ISSN 2231-2153. (2013).
• Level Channel Assignment Algorithm for Multichannel wireless Mesh Network”, International Journal of Advances in Science and Technology, Vol.4, Issue No.6, ISSN 2229-5216, (2012).
• Data Protection in Cloud Computing, International Journal of Research in Computer Applications & Management, Vol: 3, Issue No.12, ISSN 2231-1009. (2013).
• "Clustering Methods for Credit Card using Bayesian rules based on K-means classification." International Journal of Advanced Computer Science and Applications 1.4 (2010).

NPTEL Online Courses

• NPTEL Online Certification course “Data Mining” with a Consolidated score of 70% during Feb-Apr 2019, 8-week course.
• NPTEL Online Certification course “Big Data Computing” with a Consolidated score of 72% during Aug-Sep 2022, 8-week course.

ATAL Online Courses

• ATAL Faculty Development Program on “Data Sciences” from 2020-9-7 to 2020-9-11 School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya.

Patents

• Title of the invention “DESIGNING AN EFFICIENT WIRELESS NETWORK INTRUSION DETECTION AND PREDICTION SYSTEM WITH ALERT MECHANISM USING DEEP NEURAL NETWORK TECHNIQUES”, Application No. 202241046506, The Patent Office Journal No. 34/2022 Date of Publication 26/08/2022.
• Title of the invention “IOT BASED SMART CONTROL AND MONITOR VARIOUS ASPECTS OF AUTOMOBILE SYSTEMS”, Application No. 202141033541, The Patent Office Journal No. 32/2021 Date of Publication 06/08/2021.

Other Activities

• 5-Day FDP on “Advanced Tools for Data Analytics”, November 2016.
• 6-Day FDP on “Data Science and Big Data Analytics”, November 2017.
• 6-Day FDP on “Big Data Analytics”, May 2018.
• One Week FDP on “Problem Solving and Artificial Intelligence”, June 2019.
• Two Weeks FDP on "Managing Online Classes and Co-Creating Moocs", April-May 2020.
• One Week FDP on “ICT TOOLS”, May 2020.
• One-week FDP on “The Use of Virtual Physics Labs - Creating Next Generation Teachers”, May 2020.
• One week FDP on "Python (Django and Flask), Python for Data Science and Cyber Security”, May 2020.
• 5-day National level FDP on "Artificial Intelligence", May 2020.
• One week FDP on "Cyber Security", May 2020.
• One week FDP on "Modern IOT Technology Tools and Design for Real time Applications”, June 2020.
• 5 Day National Level FDP on “Moodle Learning Management System", June 2020.
• 5-day FDP on "Research Trends in Image Processing", June 2020.
• One Week FDP on "Big Data Management: an end-to-end Perspectives", June 2020.
• 5 Day National Level Online FDP Program on “Recent Trends in Computer Science”, June 2020.
• 5-Day FDP on “Data Science Specialization with Big Data”, July 2020.
• Five Day National Level Online FDP Program on “Recent Trends in Computer Science”, June 2020.
• Two-Week FDP on “Data Science using Python”, December 2020.

International Conferences

• Performance Comparison of semantic web data using virtual and cloud services, International Conference on Computational and Bio Engineering jointly Organized by Departments of Computer Science, Bio Sciences & Sericulture, Sri Padmavati Mahila Visvavidyalayam, Tirupati, Andhra Pradesh, (2020).
• Comparative Evaluation of Big Data Frameworks using Virtual and Cloud Services in Semantic Web Data, International Conference on Computing, Communications and Data Engineering (CCODE-2020) Jointly organized by Department of Computer Science, SPMVV, Tirupati, Andhra Pradesh, India, (2020).
• Compelling implementation of big data in mobile cloud environment: Hadoop MapReduce Framework Over MDFS, International Conference on Emerging Trends in Engineering Sciences and Management (ICEESM’18) organized by RGM College of Engineering and Technology (Autonomous) Nandyal, Andhra Pradesh, India, (2018).
• A Survey on Big Data Techniques, International Conference on Computational Mathematical and Biological Modeling (ICCMBM) Jointly organized by Department of Computer Science, Applied Mathematics and Sericulture, Sri Padmavati Mahila Visvavidyalayam is a women's university, Tirupati, Andhra Pradesh, India, (2016).

National Conference

• Effective Query Processing for Web-scale RDF Data using Hadoop Components” in the National Conference on Artificial Intelligence-Current Trends and Applications (AICTA-2020) Jointly organized by Department of Computer Science, Sri Padmavati Mahila Visvavidyalayam is a women's university, Tirupati, Andhra Pradesh, India, (2020).