Ms. Sunandha Rajagopal

Designation: Assistant Professor

Education: MCA

Professional Experience

Teaching: 13 years
Industry: 2 years

Publications

  • A Comparative Study of Deep Learning Techniques for the Prediction of Blood Glucose Level In Type-1 Diabetic Patient, International Journal of Scientific Research in Science and Technology (2021) https://ijsrst.com/archive.php?v=12&i=62&pyear=2021
  • A Cloud Computing Based Study on Impact of Agriculture, Journal of Emerging Technologies and Innovative Research (An International Scholarly Open Access Journal, Peer-reviewed, Refereed Journal) (2021) A Cloud Computing Based Study on Impact of Agriculture (jetir.org)
  • A Deep Learning Based Model for Detecting a Person from Surveillance Video for Crime Investigation, INTERNATIONAL JOURNAL OF ADVANCED RESEARCH TRENDS IN ENGINEERING AND TECHNOLOGY, Volume 8, Special Issue 1,August 2021 10.20247/IJARTET.2021.08080041
  • “Predicting Blood Glucose in Type-1 Diabetic Patients using Deep Learning Techniques- Approaches and Challenges” in International Journal of Engineering Technology and Management Sciences (IJETMS) Vol-06 Issue-05 August-September 2022. DOI:10.46647/ijetms. 2022.v06i05.050 ISSN: 2581-4621
  • “A Deep Learning based Approach for Predicting Hypoglycemia in Type-1 Diabetic Patients Using Recurrent Neural Networks” in Karpagam JCS;Vol 17 Issue 5 Sep-Oct 2022
  • “Investigating the Impact of Multiple Inputs on Blood Glucose Prediction in Type-1 Diabetic Patients using Deep Learning” in International Journal on Recent and Innovation Trends in Computing and Communication (SCOPUS).
  • “A Novel Hybrid Deep Learning Model for Blood Glucose Prediction with Extended Prediction Horizons in Type-1 Diabetic Patients“ published in IEEE Explore.
  • Book Publications
  • “Methodology of Programming and Programming in C” by INSC International Publishers (IIP) in 2021
  • “Microprocessors and PC Hardware” by IIP Iterative International Publishers in 2023

Paper Presentations

  • “A Comparative Study of Deep Learning Techniques for the Prediction of Blood Glucose Level in Type-1” at National Conference on Trends & Technologies in Multi- Disciplinary Research (NCTTMDR-2021), A2Z EduLearningHub in association with IJSRST (2021)
  • “A Deep Learning-based Model for Detecting a Person from surveillance video for Crime Investigation’ in International Conference on Advance Modern Computing Trends And Technology (ICAMCTT 2021), organized by Kristu Jyoti College of Management and Technology, Kerala, India & RSP Research Hub, Coimbatore, India on 30th & 31st July 2021.
  • “A review on Deep Learning Techniques for the Prediction of Blood Glucose Level in Type- 1 Diabetic Patients” in AICTE Sponsored International Conference on Machine Intelligence And Green computing, Kalaignarkarunanidhi Institute of Technology, Coimbatore on 11th December 2021
  • “Predicting Blood Glucose inType-1 Diabetic Patients using Deep Learning Techniques- Approaches and Challenges” in Second International Conference on Modern Computing Trends and Technology (ICMCTT – II) – (Online) organized by Kristu Jyoti College of Management and Technology, Kerala, India & RSP Research Hub, Coimbatore, India on 30th & 31st July 2022.
  • “A deep learning approach for predicting hypoglycemia in type 1 diabetic patients” in 14th Annual Research Congress organized by Karpagam Academy of Higher Education, Coimbatore on 10 December 2022
  • “A Novel Hybrid Deep Learning Model for Blood Glucose Prediction with Extended Prediction Horizons in Type-1 Diabetic Patients” in International Conference On Emerging Research In Computational Science – 2023 organized by Karpagam College of Engineering in association with IEEE Chennai on 7 th December 2023
  • “A Comparative Study of Recurrent Neural Networks for Predicting Hypoglycemia in Type-1 Diabetic Patients” in 15th Annual Research Congress organized by Karpagam Academy of Higher Education, Coimbatore on 9th December 2023.

Certifications and Conferences

  • Certified in “Exploratory Data Analysis with Seaborn” an online non-credit project authorized by Coursera Project Network and offered through Coursera on July 2022
  • Certified in “Linear Regression with NumPy and Python” an online non-credit project authorized by Coursera Project Network and offered through Coursera on July 2022
  • NPTEL online certification (SWAYAM) in Joy of Computing using Python in 2021
  • NPTEL online certification (SWAYAM) in Data Base Management System in 2017
  • NPTEL online certification (SWAYAM) in Java Programming in 2018.
  • AICTE Sponsored two weeks of FDP on Machine Learning And Artificial Intelligence organized by PACE Institute of Technology and Science from 24 May to 2 nd June 2021
  • Two weeks Python Programming Workshop organized by Bell Institute of Research and Development Studies from15th May 2021 to 29th May 2021
  • 5-Day FDP on Applications of Machine Learning in Mechanical Engineering organized by SRM Institute of Science And Technology, Chennai, from 4 th October to 8 th October 2021.
  • One month FDP on Moodle Learning Management System organized by Spoken Tutorial Project, IIT Bombay from 2023-02-20 to 2023-03-19
  • One month FDP on Ruby organized by Spoken Tutorial Project, IIT Bombay from 2023-07-19 to 2023-08-18

Contact Details 

Email : sunandha.r@saintgits.org