Profile
Name Ramya. A
Designation Assistant Professor
Areas of Interest Digital Electronics, Embedded Systems, Artificial Intelligence, Microcontrollers
Room No. 14-105
Intercom No.
Mobile 9789340349
Email Id (Official) ramyaa@svce.ac.in
Email Id (Personal)
Qualification
  • Ph.D on Enhanced Microcontroller Interface and Linearization Techniques for Temperature Sensors
  • M.E. Applied Electronics
Academic Experience
  • Design Engineer at Sankalp Semiconductors Pvt Ltd, Bangalore (2 years)
Courses Handled
Research & Consultancy
    Research:

  • Ph.D. Thesis Title: Enhanced Microcontroller Interface and Linearization Techniques for Temperature Sensors

    • International Journals:

  • Ramya Anandanatarajan, Mangalanathan, U. & Gandhi, U. (2023) Linearization of Temperature Sensors (K-Type Thermocouple) Using Polynomial Non-Linear Regression Technique and an IoT-Based Data Logger Interface. Exp Tech 47, 885–894. https://doi.org/10.1007/s40799-022-00599-w
  • Ramya Anandanatarajan, U. Mangalanathan and U. Gandhi, “Deep Neural Network-Based Linearization and Cold Junction Compensation of Thermocouple,” in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-9, 2023, Art no. 2500609, doi: 10.1109/TIM.2022.3227982.
  • Ramya Anandanatarajan, Umapathy Mangalanathan, & Uma Gandhi, (2020). Enhanced microcontroller interface of resistive sensors through resistance-to-time converter. IEEE Transactions on Instrumentation and Measurement, 69(6), 2698-2706. https://doi.org/10.1109/TIM.2019.2928348
  • Ramya Anandanatarajan, Umapathy Mangalanathan, & Uma Gandhi, (2021). Performance enhancement and fault identification using Kalman filter in a resistive temperature sensor interface. Measurement, 183, 109836. https://doi.org/https://doi.org/10.1016/j.measurement.2021.109836
  • Ramya A, Mirunalini P. “Antenna Control System Using Step Tracking Algorithm With PID controller”, Pondicherry Engineering College 2012.
  • Ramya Anandanatarajan, Umapathy Mangalanathan, & Uma Gandhi, (2020). Enhanced microcontroller interface of resistive sensors through resistance-to-time converter. IEEE Transactions on Instrumentation and Measurement, 69(6), 2698-2706. https://doi.org/10.1109/TIM.2019.2928348
  • Ramya Anandanatarajan, Umapathy Mangalanathan, & Uma Gandhi, (2021). Performance enhancement and fault identification using Kalman filter in a resistive temperature sensor interface. Measurement, 183, 109836. https://doi.org/https://doi.org/10.1016/j.measurement.2021.109836
Conference / Workshop / FDP
    National Conference:

  • A. Pal, Ramya Anandanatarajan, S. Kaluvan, T. B. Scott, U. Mangalanathan and G. Herrmann, “Design and Development of a Wireless Condition Monitoring System Biased Using Through Wall Power Transfer Technique,” 2023 IEEE Applied Sensing Conference (APSCON), Bengaluru, India, 2023, pp. 1-4, doi: 10.1109/APSCON56343.2023.10101041.
  • A. Ramya, R.Veni, D.Sindhanaiselvi, “Design of Low Pressure MEMS Sensor”, National Conference on Pure Emphatic Research Innovation in Science and Engineering, April 2016.

    • Workshop:

  • Nuclear Control and Instrumentation at National Institute of Technology Tiruchirappalli, 2021.

    • FDP:

  • ‘Introduction to Deep Learning and Machine Learning – with Applications to Engineering Systems’ IIT Bombay, 2019.
Laboratory Handled
Training Attended
Additional Responsibilities
Achievements
    Achievements:

  • Secured College First in B.Tech. First Year.
  • Secured 51/100 marks in GATE 2013 (College First).
  • Visited University of Bristol, United Kingdom under the Scheme for Promotion of Academic and Research Collaboration (SPARC) Project P1051 Self-Powered Sensor System for Condition Monitoring of Nuclear Waste Packages.
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