Profile
Name Ms.P.Geetha
Designation Assistant Professor
Areas of Interest Cloud Computing, Data Sciences, Compiler Design Techniques
Room No.
Intercom No.
Mobile
Email Id (Official) geethaperumal@svce.ac.in
Email Id (Personal) geethaperu@gmail.com
Qualification
  • Submitted Thesis in Anna University
  • M.E (Computer Science & Engineering)
    Anna University
    Scored – 79%
  • B.Tech (Information Technology)
    Madras University
    Scored – 84%
Academic Experience
  • Assistant Professor,
    Department of Computer Science and Engineering,
    Sri Venkateswara College of Engineering, Sriperumbudur.
    July 2021
  • Assistant Professor,
    Department of Computer Science and Engineering,
    Dhanalakshmi College of Engineering, Tambaram.
    June 2016 – June 2021
  • Assistant Professor,
    Department of Computer Science and Engineering,
    Dhanalakshmi College of Engineering and Technology, Mahabalipuram.
    November 2011 – May 2016
  • Assistant Professor,
    Department of Computer Science and Engineering,
    Dhanalakshmi Srinivasan Engineering College, Perambalur.
    May 2008 – November 2011
  • Lecturer,
    Department of Information Technology,
    Dr Navalar Nedunchezhiyan College of Engineering, Tholudur.
    June 2004 – August 2006
Courses Handled

Theory Courses

  • Data Structures
  • Object Oriented Programming
  • Programming in C
  • Compiler Design
  • Design and Analysis of Algorithms
  • Multi-core Architectures and Programming
  • Data Analytics
  • Object Oriented Analysis and Design
  • Internet Programming
  • Graph Theory and Applications
  • System Software
  • Software Engineering
  • Web Technologies
  • Information Coding Techniques
  • XML and Web Services
  • Advanced Data bases
  • Information and Network Security
  • Software Design
  • Cloud Computing
  • Component Based Technology

Laboratory Courses

  • Data Structures Lab
  • Object Oriented Programming Lab
  • Programming in C Lab
  • Compiler Design Lab
  • CASE Tools Lab
  • Internet Programming Lab
  • Software Engineering Lab
  • Operating System Lab
  • Web Technologies Lab
  • Advanced Data bases Lab
Research & Consultancy

International Journals

  • P Geetha & Dr C R Rene Robin (2021), ‘Power Conserving Resource Allocation Scheme with Improved QoS to Promote Green Cloud Computing’, J Ambient Intelligence Human Computing (Springer), Volume.12, Issue.07, pp.7153-7164 (SCI Indexed)
  • P Geetha & Dr.C R Rene Robin (2021), ‘Time and Energy – Efficient Load Balancing algorithm towards Green Cloud Computing’, Springer Lecture Notes in Networks and Systems, Book : Inventive Communication and Computational Technologies, pp.371-386. (Scopus Indexed)
  • P Geetha & Dr C R Rene Robin (2020), ‘A novel approach of Resource Scheduling algorithm to improve QoS in Green Cloud Computing’, Springer Series on Algorithms for Intelligent Systems. Book: Data Intelligence and Cognitive Informatics, pp.207-221. .(Scopus Indexed)
  • P Geetha & Dr C R Rene Robin (2019), ‘SAMR: Optimal Workflow of VMs in Cloud Computing’, Proceedings of International Conference on Recent Trends in Computing, Communication & Networking Technologies (ICRTCCNT) 2019, Available at SSRN, Page(s): 8.(Scopus Indexed)
  • P Geetha & Dr C R Rene Robin (2019), ‘A Performance – Review of Cloud Scheduling Algorithms into Green Environments’, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), vol. 11, pp. 1160-1167. (Annexure – II) .(Scopus Indexed)
  • P Geetha & Dr C R Rene Robin (2017), ‘A Comparative Study of Cloud-Load Balancing Algorithms in Cloud Environments’, IEEE International Conference on Energy, Communication, Data Analytics and Soft Computing(ICECDS), Page(s): 806-810.(IEEE, Scopus Indexed)
  • P Geetha, VM NithyaSree (2021) on, “Virtual Brain: Model-Based Framework for Dependable EEG Sensing and Actuation in Intelligent Brain IOT System”, – Journal of University of Shanghai for Science and Technology ISSN: 1007, pp.187-199.(Scopus Indexed)
  • P Geetha, Dr G Kalaiarasi (2020),” Task Scheduler of Sending Electronic Mails Automatically”, International Journal of Engineering and Advanced. (Scopus Indexed)
  • P Geetha, R Reni Hena Helan (2020) “Fog Computing based Smart Street Lamp using Raspberry Pi”, The International Journal of Analytical and Experimental Modal Analysis.
  • P Geetha, M Thamizharasi (2020) “An Internet of Things Approach for Motion Detection and Security Alarm System Using Raspberry Pi”, The International Journal of Analytical and Experimental Modal Analysis.
  • P Geetha, G Abirami (2020) “Smart Agriculture System”, by JAC: A Journal of Composition Theory.
Conference / Workshop / FDP

Conferences

  • P Geetha, ”A Novel Routine to Re-Establish the Database Through Watermarking with Distortion Control using Biometric Masking”, International Conference on Research Advancements & Challenges in Engineering Sciences (ICRACE’20) in the year 2020.
  • P Geetha, ”Sentiment analysis using the Social Media posts” International Conference on Research Advancements & Challenges in Engineering Sciences (ICRACE’20) in the year 2020.
  • P Geetha, “Detection of Malicious URL is using Machine Learning Techniques” in the year 2019.
  • P Geetha,”Top-K Closest Keyword Exploring Queries by Using Graph Encryption” in the year 2018.
  • P Geetha ,”IOT Based Thereat Detection and Identification Based Video Surveillance IP Cameras” in the year 2017.
  • P Geetha ,“Dynamic & Flexible group key generation based on user behavior monitoring” in the year 2016.
  • P Geetha, IJEECS International Journal on “Multi-Keyword Search on Encrypted Files and Ranking Based on Time” in the year 2015.
  • P Geetha,“Multicast Routing with Delay & Delay variation Constraints for collaborative applications on overlay networks” in the year 2011.
  • P Geetha,“Multicasting Algorithm in Multimedia Communication Networks” in the year 2011.
  • P Geetha,“Automatic Method for Author Name Disambiguation using Social Networks” in the year 2010.
  • P Geetha,“The Concept of Application Clustering in Cloud Computing Environment”,” Information Security issues in Cloud Computing” in the year 2008.

FDP Attended

  • ATAL – FDP on Patent Drafting and Filing 14.06.2021 to 18.06.2021
  • ATAL – FDP on Artificial Intelligence from 07.12.2020 to 11.12.2020
  • ATAL – FDP on Data Sciences from 07.09.2020 to 11.09.2020
  • ATAL – FDP on Artificial Intelligence from 29.08.2020 to 02.09.2020
  • AICTE Sponsored STTP on Data Sciences from 24.08.2020 to 28.08.2020
  • Blue Chips of the Current Industry – ML and Big Data from 30.07.2020 to 04.08.2020
  • Data Science Fundamentals from 26.07.2020 to 30.07.2020
  • Data Science and Machine Learning from 18.07.2020 to 20.07.2020
  • AICTE Sponsored 6 days STTP on Recent Trends and Technologies from 13.07.2020 to 18.07.2020
  • Big Data Engineering from 01.06.2020 to 05.06.2020
  • Hadoop and Machine Learning from 18.05.2020 to 20.05.2020
  • Recent Trends in Information, Computing, Communication and Teaching Methodology Competency from 04.05.2020 to 17.05.2020
  • Spoken Tutorial Online Faculty Development Program: on Python Programming from 28.04.2020 to 03.05.2020
  • Introduction to Cloud Computing from 03.06.2019 to 04.06.2019
  • Oracle Programming using PL/SQL from 22.10.2018 to 26.10.2018
  • Data Analytics from 11.06.2018 to 18.06.2018
  • Data Analytics and Machine Learning (DAML) from 18.06.2018 to 22.06.2018
  • Virtualization using VSPhere 6.0 from 12.06.2017 to 16.06.2017
Laboratory Handled
Training Attended
Additional Responsibilities
Achievements
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