Dr. Ramya Perumal

Dr. Ramya Perumal

Email: ramyaperumal@sonatech.ac.in

Designation: Assistant Professor

Experience: 14 years 3 month

Specialization: Machine Learning, Data Mining

Journal Publication Conference Publication Book Publication Major Contributions Invited Talk Training / Workshops Consultancy Research Projects Patent Membership Research IDs Awards & Recognitions Lab Achievements Credentials

Journal Publication

  1. P. Ramya and B. Karthik, 2023, “Word Sense Disambiguation Based Sentiment Classification Using Linear Kernel Learning Scheme”, Intelligent Automation & Soft Computing, ISSN:1079-8587, DOI: 10.32604/iasc.2023.026291, vol. 36, no. 2, pp. 2379-2391.
  2. P. Ramya and B. Karthik, “An Optimal Feature Subset Selection by using Genetic Algorithm for an Effective Text Classification”, Journal of Algebraic Statistics, ISSN:1309-3452, vol. 13, no. 2, 2022, pp. 2318-2326.
  3. Ramya Perumal and A.C. Kaladevi, “An Effective Diagnostic System for Identifying Covid-19 and Pneumonia Diseases using Machine Learning Algorithms”, Annals of R.S.C.B, ISSN:1583-6258, vol. 25, issue 3, 2021, pp. 9078-9086.
  4. A.C. Kaladevi, Ramya Perumal, and K. Anantha Priya, “Detection of Sardine Fish Freshness using Deep Convolution Neural Network”, Annals of R.S.C.B, ISSN:1583-6258, vol. 24, issue 4, 2021, pp. 16063-16070.
  5. P. Ramya and B. Karthik, “A Comparative Analysis for Effective Text Document Classification using Machine Learning Algorithms and Deep Convolution Neural Network”, Annals of R.S.C.B, ISSN:1583-6258, vol. 25, issue 4, 2021, pp. 16071-16086.
  6. P. Ramya and B. Karthik, “Detection of Thyroid Nodule Disease by using Deep Convolution Neural Network”, Drug and Cell Therapies in Haematology, ISSN:2281-4876, vol. 10, issue 3, 2021, pp. 146-159.
  7. Ramya Perumal and Kaladevi A.C., “Early Prediction of Coronary Heart Disease from Cleveland Dataset using Machine Learning Techniques”, International Journal of Advanced Science and Technology, vol. 29, no. 6, 2020, pp. 4225-4234.
  8. A.C. Kaladevi and P. Ramya, “An Automated Diagnosis of Skin Cancer Disease using Machine Learning Techniques”, International Journal of Advanced Science and Technology, vol. 29, no. 6, 2020, pp. 4115-4126.
  9. G.S. Dhurgalakshmi and P. Ramya, “JAVA GUI Application Development with Reverse Engineering Tool”, International Journal of Scientific Research and Management, vol. 3, issue 1, January 2015, ISSN: 2349–9303.
  10. Vignesh P and P. Ramya, “Detection and Removal of Bad Smells Instantly using a InsRefactor”, International Journal of Computer Science & Engineering Technology (IJCSET), ISSN: 2229-3345, vol. 5, no. 04, April 2014, pp. 474-477.
  11. P.Ramya & Ms.Sheeba”Efficient Relational Content Based Search using Semantic Pattern Extraction “, International Journal of Innovative Computer Science & Engineering ,ISSN:2393-8528,vol.3,no.1,2016

Conferences Publication

  1. P. Ramya & B. Karthik, “Exploring different feature extraction techniques to build an effective information retrieval system for performing offline search”, Recent Trends In Applied Sciences and Computing Engineering (RTASCE 2021), 17-Dec-2021.
  2. Ramya Perumal & Kaladevi A.C., “Automated Detection of COVID-19 Disease from chest X-Ray images using Deep Convolution Neural Network”, International Conference on AI, Robotics and Automation (ICARA 2020), 15-Oct-2020.
  3. A.C. Kaladevi & P. Ramya, “A Novel Security System To Identify Closest Person For Visually Impaired People”, International Conference on AI, Robotics and Automation (ICARA 2020), 15-Oct-2020.
  4. Ramya Perumal & Kaladevi A.C., “An Automated Detection of COVID-19 and other PNEUMONIA diseases from Chest X-Ray images using Machine Learning Algorithms”, International Virtual Conference on Applied Science, Technology, Management and Language Studies (ASTMLS-2020), 11-Dec-2020.
  5. G.S. Dhurgalakshmi & P. Ramya, “JAVA GUI Application Development with Reverse Engineering tool”, Proceedings of International Conference on Advanced Computing, Control Systems, Machines and Embedded Technology.
  6. P. Vignesh & P. Ramya, “Clamant Refactoring by Admonisher with code smells Detection”, International Conference on Innovative Engineering Skills, 12-Feb-2014.
  7. Parkavi K, Shaik Karishma, Shilpa A & P. Ramya, “Heart Disease Prediction using Machine Learning Technique”, National Conference on Computational Intelligence, Security and System (Web-conference), 06-Jun-2020.

Patents

  1. Sign Language Recognition for Enhancing Communication for the Hearing and Speaking Impaired
    Inventors:Ms. Theetchenya S, Dr. Vidyabharathi D, Dr. Ramya P, Dr. Vidhya G
    Application No.: 202541044266 Filed: 07/05/2025
  2. A Simple Deep Learning Model Utilizing Multi-Channel EEG Signal Data with Optimal Time-Domain Features for Accurate Schizophrenia Detection
    Inventors: Dr. P. Ramya, Dr. A. C. Kaladevi, Ms. S. Theetchenya, Ms. D. Vidyabharathi, Ms. G. Vidhya
    Application No.: 202541061342 Filed: 26/06/2025

Membership

  1. ISTE
  2. ISSE
  3. ACCS

Researcher IDs

Awards and Achievements

  1. NPTEL Discipline star July - Dec 2021
  2. Completed Certification on CDAC Blockchain course in 2023
  3. Secured Topper 2% and Elite in the NPTEL Course 'Business Analytics & Text Mining Modelling Using Python' during the period Jul-Sep 2023
  4. Secured Elite in the NPTEL Course 'Software Testing' during the period Jan-Feb 2023
  5. Secured Elite in the NPTEL Course 'Introduction to Soft Computing' during the period Jan-Mar 2022
  6. Received NPTEL Discipline Star for the period July-Dec 2021
  7. Secured Elite in the NPTEL Course 'Deep Learning' during the period July-Oct 2021
  8. Secured Elite in the NPTEL Course 'Data Mining' during the period Feb-Apr 2021
  9. Secured Silver and Elite in the NPTEL Course 'Big Data Computing' during the period Sep-Nov 2020
  10. Secured Elite in the NPTEL Course 'Applied Natural Language Processing' during the period July-Oct 2019
  11. Secured Elite in the NPTEL Course 'Data Science for Engineers' during the period Jan-Mar 2019
  12. Secured Elite in the NPTEL Course 'Joy of Computing using Python' during the period July-Oct 2018