Profile
Name Ms. V. Rajalakshmi
Designation Associate 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
Date of Joining
Nature of Association
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

  • Rajalakshmi V, Ganesh Vaidyanathan S. (2021) “Hybrid CNN – LSTM for Traffic Flow Forecasting” RTU TEQIP-III Sponsored 2nd International Conference on Artificial Intelligence: Advances and Applications (ICAIAA 2021) will be published in Springer Book Series, ‘Algorithms for Intelligent Systems’. during March 27 & 28, 2021 organized by Poornima College of Engineering, Jaipur and Rajasthan Technical University Kota.
  • Rajalakshmi V, Ganesh Vaidyanathan S. (2020) “A comparative study of machine learning algorithms for traffic flow forecasting” Virtual International Conference on Smart Materials & Emerging Technologies for Industry 4.0 (SMETI2020)” during 16th & 17th October, 2020 organized by SVCE.
  • Jayashri P, Rajalakshmi V. (2020) “Dimensionality Reduction Method for Prediction of Parkinson Disease using Speech Data” International Journal for Research in Applied Science and Engineering Technology (IJRASET), Vol. 8, No. 5, pp. 2319-2322.
  • 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

  • Online Short Term Training Programme on “Python for Data Science” from 24/06/2021 to 03/07/2021.
  • Online Webinar on Project Management System – Agile Scrum on 14/06/2021.
  • 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

  • International Webinar on BLOCKCHAIN 101 organized by Department of Information Technology, Sri Venkateswara College of Engineering on 06/06/2020.
  • Webinar on Oracle Cloud organized by Department of Computer Science and Engineering, Sri Venkateswara College of Engineering on 19/06/2020.
  • International Webinar on “Lean Manufacturing in Automobile Industry – Case Study” organized by Department of Mechanical Engineering, Sri Venkateswara College of Engineering on 27/06/2020.
  • Webinar on “Unmanned Aerial Vehicle- A Sky Boon” organized by Department of Mechanical Engineering, Sri Venkateswara College of Engineering on 04/07/2020.
  • Three Days Online Workshop on Data Science and Machine Learning organized by Department of Information Technology, Sri Venkateswara College of Engineering from 26/06/2020 to 28/06/2020.
  • Webinar on “Introduction to Bagging – An understanding of RANDOM FOREST” organized by Department of Information Technology, Sri Venkateswara College of Engineering on 11/07/2020.
  • Webinar on Brain Computer Interface Robot organized by Pantech on 12/07/2020.
  • International Webinar on “Cloud Computing for Everyone”, organized by Department of Mechanical Engineering, Sri Venkateswara College of Engineering on 19/07/2020.
  • Online webinar on “Mathematical Modeling in Biology” organized by Department of Applied Mathematics, Sri Venkateswara College of Engineering on 23/07/2020.
  • 5 day National Level Faculty Development Program on “Emerging Technologies for Sustainable Universe organized by SEEK from 27/07/2020 to 31/07/2020.
  • Webinar on Introduction to Enterprise Architecture and Deep Dive on Business Architecture organized by Department of Information Technology, Sri Venkateswara College of Engineering on 12/06/2020.
  • Online webinar on “Mathematical Modelling and Problem Solving Using SageMath” organized by Department of Applied Mathematics, Sri Venkateswara College of Engineering on 04/08/2020 and 05/08/2020.
  • INTERNATIONAL WEBINAR SERIES on “LASER-Activated Drugs for Cancer Treatment: A Potential Alternative to Conventional Chemotherapy” organized by Department of Applied Physics, Sri Venkateswara College of Engineering on 03/08/2020.
  • Webinar on “Application of Queueing systems to Telecommunications” organized by Department of Applied Mathematics, Sri Venkateswara College of Engineering on 06/08/2020.
  • Online Faculty Development Programme on “Data Science” organized by Centre for Data Science and Artificial Intelligence in association with Computer Society of India, Rajalakshmi Institute of Technology from 24/08/2020 to 28/08/2020.
  • Online Webinar on “Women in Technology” organized by Department of Computer Science and Engineering, Sri Venkateswara College of Engineering on 10/09/2020.
  • Online STTP on Building Intelligent Applications with Deep Learning using Pytorch organized by Rajalakshmi Institute of Technology from 05/10/2020 to 10/10/2020.
  • STTP on AI in Heathcare organised by SSN College of Engineering from 14/12/2020 to 20/12/2020.
  • AICTE ATAL Online FDP on Human Centre Computing organised by Gauhati University Institute of Science and Technology from 15/02/2021 to 19/02/2021.
  • AICTE ATAL Online FDP on Intelligent Transport Systems organised by Hindustan Institute of Technology and Science from 05/07/2021 to 09/07/2021.
  • AICTE ATAL Online FDP on Predictive Intelligence Models and its Applications organised by National Engineering College from 12/07/2021 to 16/07/2021.
  • 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 “Introduction to Python” in the value added course “VD18702-Signal Processing using Simulation Tool” organised by Department of Electronics and Communication Engineering, SVCE.
  • Delivered a lecture on the topic “Time Series Forecasting Models” in the Online Short Term Training Programme on “Python for Data Science” from 24/06/2021 to 03/07/2021.
  • 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 : AD (Batch : 2020 – 2024) – Reg No. 2127200502001 – 2127200501018
  • UG Project Coordinator
  • PG Project Coordinator
    PREVIOUS RESPONSIBILITIES

  • Faculty Advisor for CS C1 (BATCH :2016-2020) R.No : 125-156
  • 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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