Profile
Name Ms. V. Rajalakshmi
Designation Assistant Professor
Areas of Interest Data Structures & Algorithms,Operating System,Compiler Design,Smart Environments,Machine Learning
Room No. 5103
Intercom No. 314
Mobile 9176999190
Email Id (Official) vraji@svce.ac.in
Email Id (Personal) vraji1983@gmail.com
Qualification
  • B.Tech ( Information Technology),Madras University, 2004. Score : 80%
  • M.E (Computer Science), Anna University, 2012. CGPA : 8.5
  • Ph.D.,(Pursuing at Anna University, Chennai)
Academic Experience
  • Working as Lecturer in SVCE from February 2005 to June 2010
  • Working as Assistant Professor in SVCE from July 2010 to till date
Courses Handled

Courses Currently Handling

  • Machine Learning
  • Compiler Design Laboratory

Courses Handled

Theory Courses

  • Advanced Object Oriented Programming
  • Multicore Architectures and Programming
  • Design and Analysis of Algorithms
  • Programming Paradigms
  • Programming and Data Structures I
  • Programming and Data Structures II
  • Theory of Computation
  • Web Technology
  • Data Structures
  • Object Oriented Programming
  • Operating System
  • Principles of Compiler Design
  • Fundamentals of Computing & Programming
  • Computer Architecture
  • System Software
  • Internet Programming

Laboratory Courses

  • Programming and Data Structures Laboratory I
  • Programming and Data Structures Laboratory II
  • Data Structures Laboratory
  • Operating Systems Laboratory
  • Java Laboratory
  • Object Oriented Programming Laboratory
  • Computer Programming Laboratory
  • Internet Programming Laboratory
  • System Software Laboratory
  • Compiler Laboratory
  • Artificial Intelligence Laboratory
Research & Consultancy
    PAPERS PUBLISHED

  • Sushmitha C, Subhasree J, Thushara S S and Rajalakshmi V. (2020) “Traffic Rules Violation Detection System” International Research Journal of Engineering and Technology (IRJET), Vol. 7, No. 4, pp. 1702 – 1704.
  • Sandhya Rao P, Shwetha Goldie U, Viswapujitha S and Rajalakshmi V. (2020) “Brain Tumor Multi-Classification using Convolutional Neural Network” International Research Journal of Engineering and Technology (IRJET), Vol. 7, No. 4, pp. 2419 – 2423.
  • Rajalakshmi V, Sasikala D and Kala A. (2019) “A Predictive Analysis for Heart Disease Using Machine Learning” International Conference on Recent Advances in Communication, Energy and Sensors(RACES-2019), Sathyabama University in association with University of DERBY, 13th -15th November, 2019.
  • Sasikala D, Rajalakshmi V and Jayabhaduri R. (2019) “Disaster Management System Using Intelligent Underwater Robot” National Conference on Recent Advances in On- Board Ship Automation (RAOBSA 2019), Sponsored by AICTE, AMET University, Chennai, 26th & 27th September, 2019.
  • Pavithra B and Rajalakshmi V. (2020) ”Heart Disease Detection using Machine Learning Algorithms”, Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, Vol 35. Springer, Cham, pp.1131-1556.
  • Rajalakshmi V, Ganesh Vaidyanathan S. (2019) “Efficient Traffic Management on Road Network Using Edmonds–Karp Algorithm”, Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, Vol 714. Springer, Singapore, pp. 577-583.
  • Femi D and Rajalakshmi V. (2016) “Early Detection of Common CT Imaging Signs Of Lung Diseases Using ELM”, Universal Research Journal of Engineering Sciences, Vol. 3(3), pp. 1-4.
  • Rajalakshmi V, Susan Elias. (2013) “Efficient Representation of Smart Environments using a Parallelized Approach”, International Journal on Information Technology, 3(1):1-4.
  • Susan Elias, Rajalakshmi V and Sivaranjani S. (2012) “Representation of Smart Environments Using Distributed P Systems”, Advances in Communication, Network, and Computing. CNC 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol 108. Springer, Berlin, Heidelberg, pp. 159-164.
Conference / Workshop / FDP
    NPTEL COURSES COMPLETED

  • “Python for Data Science” -(Aug – Oct 2019) – Elite Grade
  • “Data Mining” -(Jan – Apr 2019) – Elite Grade
  • “Business Analytics and Data Mining Modelling Using R : Part II” – (Aug – Oct 2018) – Elite Grade
  • “Data Science for Engineers” – Feb-Mar 2018 (Eight Week Course) – Elite Grade
  • “Introduction to Machine Learning” – Aug-Sep 2017 (Eight Week Course) – Elite Grade
    COURSERA COURSES COMPLETED

  • AI for Everyone (4 Week Course)– April 2020.
  • Programming for Everybody (Getting Started with Python)! (7 Week Course)– April 2020.
    MICROSOFT CERTIFICATION

  • Cleared Microsoft Certification Test on DBMS on December 26th, 2014
    WORKSHOPS ORGANIZED

  • National Workshop On “Deep Learning Simplified” in association with Hexaware Technologies Limited on March 11 & 12, 2020.
  • National Workshop On “Internet of Things | NoSQL Databases” on August 30, 2019.
  • Short Term Training Programme on “Transition from Machine Learning -> Deep Learning: Text, Image and Speech Processing” during November 12-17, 2018.
  • National Workshop on “Deep Learning: Text Analysis and Image Processing” (NWDLTAIP’18) on March 8th and 9th, 2018.
  • National Workshop on “Big Data : Streaming Analytics and Applications” (NWBDA17) in association with Aspire Systems India Private Limited, Siruseri, Chennai on March 25th,2017.
  • National Workshop on “Data Analytics and Business Intelligence” (NWDABI’16) in association with Cognizant Technology Solutions, Siruseri, Chennai on Dec 5th,2016 and Dec 9th,2016.
    WORKSHOPS ATTENDED

  • Faculty Enablement Program on FP 5.0 from 23rd April to 27th April 2018 at Rajalakshmi Engineering College, Chennai.
  • Workshop on Scope for R&D Projects and Proposal Preparation at Anna University on 12/05/2017.
  • FDTP on Data Analytics at SVCE between 05/06/2017 to 07/06/2017
  • Workshop on Implementation of CloudSim and Hadoop held at SVCE on Febraury 5th and 6th, 2016.
  • ADCOM Conference at IITM – Chennai on September 18th and 19th, 2015
  • Workshop on R Tool at CSE Department, SVCE on December 4th, 2014
  • Workshop on Large Scale Machine Learning organised in association with Ericsson Research on November 13 & 14th, 2013 at SVCE.
  • One day Workshop on “Membrane Computing” held at SVCE on 4th October 2011.
  • Data Mining : A Research Perspective on March 24th and 25th, 2011
    PROJECTS MENTORED

  • ADCOM Student Design Competition in 2016
    LECTURES DELIVERED

  • Delivered a lecture on the topic “Hands-on session in Supervised Learning Algorithms” in the National Workshop On “Deep Learning Simplified” in association with Hexaware Technologies Limited on March 11, 2020.
  • Delivered a lecture on the topic “R-Programming – Data Grouping, Data Summarizing and Functional Programming” organized by ECEA and IETE-SF on February 14, 2020 at ECE Dept., SVCE.
  • Delivered a lecture on the topic “NoSQL Databases” in Two days Hands on Workshop on Multitudinal Databases during October 16th – 17th, 2019 at CSE Dept., SVCE.
  • Delivered a lecture on the topic “Supervised Learning” in Six days Faculty Development Program (FDP) on“ Machine Learning & Cyber Security ” December 9th – 14th 2019 at CSE Dept., SVCE.
  • Delivered a lecture in the topic “Multithreading and Exception Handling in Python” at Five days Value Added Course in Python Programming during December 4th – 8th, 2018 at IT Dept., SVCE.
Laboratory Handled
Training Attended
Additional Responsibilities
    CURRENT RESPONSIBILITIES

  • Faculty Advisor for CS C1 (BATCH :2016-2020) R.No : 125-156
  • UG Project Coordinator
  • PG Project Coordinator
    PREVIOUS RESPONSIBILITIES

  • Faculty Advisor for CS C3 (BATCH : 2012-2016) R.No : 151-173
  • Department UG Project Coordinator
  • Class Committee Chairperson for III Year
  • Additional Incharge for University Exam Result Analysis
  • Intranet Development and Maintenance.
  • Department Meeting Minutes Incharge
  • Department TAU Incharge
Achievements
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