Profile
Name Mrs. B. Elakkiya
Designation Assistant Professor
Areas of Interest Artificial Intelligence, Image Processing
Room No. 314
Intercom No.
Mobile 9176392021
Email Id (Official) elakkiyab@svce.ac.in
Email Id (Personal) elakz05@gmail.com
Qualification
  • B.E (ECE) – College of Engineering Guindy ,Anna University (2011-2015)
  • M.E(Applied Electronics) -Government College of Technology, Anna University (2015-2017)
  • Ph.D.- ICE, Anna University (Pursuing)
Academic Experience
  • Assistant Professor: Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai (March 2020-Aug 2022)
  • Research Scholar : Government College of Technology, Coimbatore (June 2018 – February 2020)
Courses Handled
  • BEEE
  • Circuit Analysis
  • Electronic Circuits-I
Research & Consultancy
    Research:

  • Shamila Ebenezer, A., Deepa Kanmani, S., Sheela, V., Ramalakshmi, K., Chandran, V., Sumithra, M.G., Elakkiya, B. and Murugesan, B., 2021. Identification of Civil Infrastructure Damage Using Ensemble Transfer Learning Model. Advances in Civil Engineering, 2021. (SCIE-Q2) Impact Factor =1.924
  • Yogapriya, J., C. Saravanabhavan, and B. Elakkiya. “BRECNET: Breast Cancer Network for Histopathology Images Classification using Convolution Neural Network.” JOURNAL OF ALGEBRAIC STATISTICS 13.2 (2022): 329-342
  • Yogapriya, J., Chandran, V., Sumithra, M. G., Elakkiya, B., Shamila Ebenezer, A., & Suresh Gnana Dhas, C. (2022). Automated Detection of Infection in Diabetic Foot Ulcer Images Using Convolutional Neural Network. Journal of Healthcare Engineering, 2022.
  • Chandran, V., Sumithra, M.G., Karthick, A., George, T., Deivakani, M., Elakkiya, B., Subramaniam,
  • U. and Manoharan, S., 2021.” Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images” BioMed Research International, https://doi.org/10.1155/2021/5584004. (SCIE-Q2) Impact Factor =3.411
  • Murugan, S., Venkatesan, C., Sumithra, M.G., Gao, X.Z., Elakkiya, B., Akila, M. and Manoharan, S., 2021. DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia from MR Images. IEEE Access, DOI: 10.1109/ACCESS.2021.3090474. (SCI-Q1) Impact Factor=3.745
  • Yogariya,Preetha ,Elakkiya.B “Early diagnosis of covid19 disease using deep convolutional neural network model” Stochastic modelling & Applications ,Vol 26 no 3,UGC .
  • Balan, E., Venkatesan, C., Sumithra, M.G., Akila, M. and Manikandan, M., 2020. Method for detecting cup to disk ratio for the prediction of glaucoma disease-A review.
  • B.Elakkiya, July 2017, “Design of Hardware Architecture for Hybrid SIFT”, is published in the International Journal of Engineering Research in Computer Science and Engineering (IJERCSE), Vol: 4, Issue no: 7, July 2017. ISSN: 2394-2320.
  • V.Chandran, B.Elakkiya, Oct 2017, “Energy Efficient and High-Speed Rounding-Based Approximate Multiplier for Image Processing Applications”, is published in the Journal of VLSI Design and Signal Processing, Vol: 3, Issue no: 3, Nov 2017. ISSN: 2394-2320.
  • Elakkiya B, Chandran V, “Counter Matrix Code for SRAM Based FPGA to Correct Multi Bit Upset Error”, International Research Journal of Engineering and Technology (IRJET) , Vol. 4, No. 10, pp 1058-1061, OCT 2017.
  • Elakkiya B,et al. “In-Vivo Method of Melanoma Edge Detection for Extracting the Image Feature And Selection Through OTSU Algorithm – Medical Application for Skin Treatment” International Journal of Applied Engineering Research (IJAER).

    • Patents:

  • Foot Ulcer Detection Using Deep Learning Models (202041053689)
  • Smart e-Dust Bin for Hotel Food Waste (202041050324).
  • Poultry Chicken Gender Classification Using Deep Learning Models (202141009555 A)
  • Deep Learning Based Animal Tracking System Using Voice Vocalization(202141004404A)
Conference / Workshop / FDP
    National Conference:

  • B.Elakkiya, Dr.P.Deepa ,Apr 2017,”Hybrid SIFT for Image Recognition”, Proceedings of National Conference On signal Processing Information and Communication Engineering (SPICE?17), Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore

    • International Conference:

  • Chandran V, Elakkiya B, Sumithra MG,Karthick A, Jayarajan V, Anto Merlin M (2020) ” A Prediction of Corona disease transmission using a traditional machine learning”, International Conference on “Advances in Computing, Communication, Automation and Biomedical Technology”,KPR Institute of Engineering and Technology, Coimbatore, India.
  • Elakkiya, B., and O. Saraniya. “A comparative analysis of pretrained and transfer-learning model for automatic diagnosis of glaucoma.” 2019 11th International Conference on Advanced Computing (ICoAC). IEEE, 2019.
  • B.Elakkiya, Dr.P.Deepa, Mar 2017, “Video Stabilization of Hybrid SIFTS”, Proceedings of International Conference on System Design and Computing (ICSDC 2k17), Society of Engineering and Technology with Mind Workz technologies, Nagerkoil.

    • Workshop:

  • Attended 2 days hands-on “Advanced Deep Learning Algorithms” in Association with NVIDIA from September 6-7,2019 at KPR Institute of Technology ,Coimbatore
  • Attended High Intense Hands-on Training Program on “MATLAB for Image Processing, Computer Vision & Deep Learning” in Association with MathWorks India Private Limited, Bengaluru on 06th to 12th, July, 2019 at Coimbatore Institute of Technology, Coimbatore.
  • Attended a two days hands on workshop on “Deep learning and its Industrial Application” in association with Robert Bosch and Leading india.AI on 3-8-2018 to 4-8- 2018 at Bannari Amman Institute of Technology, Sathyamangalam.
  • Three days Hands on Training on “Image Processing, Computer Vision and Machine Learning (3rd IPCVML 2018)”” organized by Department of ECE, Madras Institute of Technology, Chrompet during, May, 2018.
  • One day Hands on workshop on “NVIDIA Lab DIGITS Platform” organized by Government College of Technology, Coimbatore, 2019.
  • Attended one day workshop on “Image processing Application” in CEG, Anna University.4
  • Successfully completed NPTEL online certification course in “Machine Learning” conducted by IIT.
  • Successfully completed and received a passing grade in “Machine Learning with Python” an online certification course on cognitive class Conducted by IBM.
  • Successfully completed NVIDIA certification Course on “Fundamentals for computer Vision using Deep Learning” offered by Deep Learning Institute 2019.
  • Successfully completed and received a passing grade in “Python101 for Data Science” an online certification course on cognitive class Conducted by IBM.
  • Successfully Completed MATLab Certification on “Deep Learning on Ramp” offered by Math Works on March, 2019.
  • Successfully completed and received a passing grade in “Deep Learning with Tensor Flow” an online certification course on cognitive class Conducted by IBM.
  • Successfully completed and received a passing grade in “Fundamentals of Deep Learning” an online certification course on cognitive class Conducted by IBM.
  • Successfully Completed MATLAB Certification on “Deep learning” workshop in Association with IIT Kharagpur from Jan-Apr 2022.
  • Successfully Completed MATLAB Certification on “Matlab on Ramp” offered by Math Works on April, 2019.
  • Successfully Completed MATLAB Certification on “Introduction to Data Analysis using Microsoft Excel” offered by Coursera on May 2022.

    • FDP:

  • Attended 12 weeks Faculty Development Programme “Deep learning” workshop in Association with IIT Kharagpur from Jan-Apr 2022
  • Five days Teqip-III sponsored FDP on “Application for Embedded Systems using MSP 430” organized by NIELIT, Government College of Technology Coimbatore during, September, 2016.
  • Three days Teqip-III sponsored FDP on “Internet of Things (IoT)? organized by NIELIT, Government College of Technology Coimbatore during September, 2016.
  • One week Teqip-III sponsored FDP on,”PCB Design Technologies”organized by Government College of Technology Coimbatore during, October, 2016.

    • Lecture/Value Added Course Delivered

  • Act as a Teaching Assistant in National workshop in two days national level workshop on “Deep Learning and Accelerated computing” during 26-27 September, 2019 organized by school of computing and department of CSE at SRM Institute of Science and Technology, kattankulathur, Chennai.
  • Handled 32 hours Value Added Course on “Introduction to MATlab” during December 2021 -January 2022.
  • Handled 32 hours Value Added Course on “Introduction to Internet of Things” during March -April 2022.
Laboratory Handled
Training Attended
Additional Responsibilities
Achievements
    Achievements:

  • National Eligibility Test qualified in JULY 2020 conducted by UGC.
  • Deep Learning Badge from IBM.
  • Received Elite badge in Deep learning course from NPTEL
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