Profile
Name Mrs. R. Elakya
Designation Assistant Professor
Areas of Interest Deep Learning, Image Processing
Room No. 11-205
Intercom No. 361
Mobile 9884852306
Email Id (Official) elakyar@svce.ac.in
Email Id (Personal) elakyaragesh@gmail.com
Qualification
  • M.E[CSE] – Mookambigai College of Engineering ,Trichy- Computer Science and Engineering-2013
  • B.TECH[IT]- Rajiv Gandhi College of Engineering, Chennai – Information Technology- 2011
Academic Experience
  • Working as Assistant Professor in SVCE since May’2023
  • Worked as Assistant professor in Vel Tech Rangarajan Dr.Saguntala R&D Institute of Science and Technology from August 20, 2020 to 9th May 2023.
  • Worked as Assistant professor in SRM Institute of Science and Technology, Ramapuram Campus from June 19, 2017 to 30th June 2020.
  • Worked as Assistant professor in Mookambigai College of Engineering from July 15, 2013 to 10th June 2017.
Courses Handled
    Programming Papers:

  • Python Programming
  • C programming
  • object oriented Programming in C++
  • Programming in Java
  • Data Structure with Oops

    • Core Papers:

  • computer Architecture
  • Computer Networks
  • Operating System
  • Information and network Security

    • Lab Handled

  • C Programming lab
  • Java Lab
  • Data Structures Lab
  • Python Lab
  • Operating System lab
Research & Consultancy
    Scopus Indexed Journal:

  • Published a paper entitled “Classification of diseases in Paddy by using Deep transfer learning MobileNetV2 model,” 2022 1st International Conference on Computational Science and Technology (ICCST), CHENNAI, India, 2022, pp. 936-940, doi: 10.1109/ICCST55948.2022.10040348.
  • Published a paper entitled “A Novel Approach for Identification of Weeds in Paddy By using Deep Learning Techniques”, 2022, International Journal of Electrical and Electronics Research (IJEER), Volume 10, Issue 4
  • Published a paper entitled “Identification of Unhealthy Leaves in Paddy by using Computer Vision based Deep Learning Model”, 2022, International Journal of Electrical and Electronics Research (IJEER), Volume 10, Issue 4
  • Published a paper entitled “Classification Techniques for Behaviour study of Autism spectrum Disorder”,2021, Journal of Physics: Conference Series, 2021, 1964(3), 032008
  • Published a paper entitled “Smart parking system using IoT”, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249-8958 (Online), Volume-9 Issue-1, October, 2019
  • Published a paper entitled “Melanoma skin cancer detection”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075 (Online), Volume-9 Issue-1, November 2019
  • Published a paper entitled “Compositional nature of language to represent bimodal visual- audial percepts”, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8 Issue-5S3, July, 2019
  • Published a paper entitled “A unified and scalable programming language for SDN”,
  • International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878 (Online), Volume-8, Issue-1, May 2019
  • Published a paper entitled “A unified process of big surveillance video data by smart monitoring cameras using big data management”, International Journal of Recent Technology and Engineering (IJRTE). Volume-8, Issue-1, May 2019
  • Published a paper entitled “Industrial fuel control using cloud management”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878 (Online), Volume-7, Issue-6, March 2019
Conference / Workshop / FDP
    Papers Presented in International Conferences:

  • Presented a paper entitled “Classification of diseases in Paddy by using Deep transfer learning MobileNetV2 model” at IEEE sponsored international conference on Computational Science and Technology.
  • Presented a paper entitled “Pest Classification in paddy by using Deep ConvNets VGG19” at Internation Conference named Recent Trends in Information Technology and its Application.
  • Presented a paper entitled “A Novel Approach for Identification of Weeds in Paddy By using Deep Learning Techniques”at International Conference on Recent Developments in Electronics and Communication systems.
  • Presented a paper entitled “Identification of Unhealthy Leaves in Paddy by using Computer Vision based Deep Learning Model”at International Conference on Recent Developments in Electronics and Communication systems.
  • Presented a paper entitled “A Novel Approach for an early detection of disease and pest attacks in food crops: A Review”, at International conference on Advanced computational and Communication Paradigms.
  • Presented a paper entitled “Smart Greenhouse using IOT” at International Institute of Research in Multidisciplinary-Skill Development .
  • Presented a paper entitled “Compositional Nature of language to represent Bimodal visual-Audio Percept” at International conference on Advanced scientific innovation in science and Technology.
  • Presented a paper entitled “Efficient Friendship based Routing in Delay Tolerant Mobile social Network at International conference on Computing and Computational Technology.

    • FDP/WorkShop :

  • Participated and Successfully completed 5 days Online Short-Term Course on “Python Programming for Artificial Intelligence” organized by NIT Warangal.
  • Participated and Successfully completed 5 days Faculty Development Program(FDP) on “Machine Learning” organized by E & ICT Academy, IIT Kanpur.
  • Participated and Successfully completed 5 days Faculty Development Program(FDP) on “Advanced Excel with Data Visualization” organized by E &ICT Academy, IIT Kanpur.
  • Participated and Successfully completed 5 days Faculty Development Program(FDP) on “App Development with Android” organized by E & ICT Academy, IIT Kanpur.
  • Participated and Successfully completed 5 days Faculty Development Program(FDP) on “Artificial Intelligence” organized by Manipal University Jaipur from AICTE Training And Learning (ATAL) Academy.
  • Participated and Successfully completed 5 days “Hands on FDP : Data science using Python” organized by Jeppiar Institute of Technology
  • Participated in the Webinar on “Future Industrial Robotics Colloborated with Artificial Intelligence”, organized by St. Joseph’s Institute of Technology
  • SRMIST, Kattankulathur conducted the 2 day Microsoft AI Virtual Summit from 12.05.2020 to 13.05.2020 Faculty Development Programme on “DevOps & AWS”
  • Successfully completed the TECHNICAL E-QUIZ on “INDUSTRIAL INTERNET OF THINGS” held during 3 rd to 5th june 2020 with a passing score of 100%.
Laboratory Handled
Training Attended
Additional Responsibilities
  • Modern Computing Laboratory In-charge
Achievements
  • Completed online course on AWS Academy Graduate – AWS Academy Cloud Foundation awarded by AWS Academy.
  • Completed online course on TensorFlow in Machine Learning awarded by European Open University.
  • Completed online course on Fundamentals of Deep Learning awarded by NVIDIA DEEP LEARNING INSTITUTE
  • Actively participated in TEQIP-II sponsored course on “Foundation Skills In Integrated Product Development (FSIPD)” TRAIN-THE-TRAINER PROGRAM and won “Certified Master Trainer”.
  • Attended Faculty Enablement Program on ”Foundation Program 4.0″ conducted by INFOSYS Limited and has been awarded with A grade.
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