Dr. V. SATHIESH KUMAR

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Dr. ANUBHA PEARLINE S

Thesis Title : Performance analysis of Plant Species Recognition using Conventional and Deep learning techniques

PhD Reg No/Category:  17244391509/Full-time (Completed in 2021)

Date of Viva-voce Examination: 13.05.2021

M.Tech Specialization/Pass out: Information Technology/2016

B.E Specialization/Pass out: Computer Science and Engineering/2014

Area of Interest: Computer Vision, Artificial Neural Networks







Dr. S. RUBIN BOSE

Title of Research: Performance analysis of different deep learning architectures for Hand Action Recognition

PhD Reg No/Category: 17144391151/Full-time (Completed in 2022)

Date of Viva-voce Examination: 25.07.2022

M.E Specialization/Pass out: VLSI Design/2009

B.E Specialization/Pass out: Electrical and Electronics Engineering/2007

Area of Interest: Robotics, Artificial Intelligence








Ms. J. SUMATHI

Title of Research: Laser induced breakdown spectroscopy technique based ocean mining system

PhD Reg No/Category: 1524339794/Full-Time (Synopsis Submitted)

M.E Specialization/Pass out: Power Electronics and drives/2012

B.E Specialization/Pass out: Electronics and Communication Engineering/2010

Area of Interest: Remote Sensing, Laser Ablation







Mr. M. THANGARAJA

Title of Research: In-situ soil analysis using laser induced breakdown spectroscopy technique combined with temporal analysis

PhD Reg No/Category: 16124397457/Full-time

M.E Specialization/Pass out: Applied Electronics

B.E Specialization/Pass out: Electrical and Electronics Engineering

Area of Interest: Opto-Electronics





Mr. K. VEERAPPAN

Title of Research: Ranking of nutrients in different section of plants using laser induced breakdown spectroscopy technique

PhD Reg No/Category: 17134391461/Part-time

M.E Specialization/ Pass out: Communication Systems/2014

B.E Specialization/Pass out: Electronics and Communication/2011

Area of Interest: Opto-electronics, Embedded Systems

14. Surendra Kumar C (2020617040) - M.E VLSI Design and Embedded System (2020 - 2022) - Estimation of Soil Moisture using Laser Technology.

13. Adhirai N (2020617001) - M.E VLSI Design and Embedded Systems (2020 - 2022) - Machine Learning Based Ranking of Sodium in Salt Deposited GFRP Material.

12. Joshwin Darington M (2019617036) -  M.E VLSI Design and Embedded Systems (2019 - 2021) - In-situ detection of anomalies in the acoustic signal using neural network approach.

11. Dineshraja K (2019617034) -  M.E VLSI Design and Embedded Systems (2019 - 2021) - Design and development of a robotic system with path tracking and plant species recognition.

10. Tazneem Fathima S (2018617025) -  M.E VLSI Design and Embedded Systems (2018 - 2020) - Design and development of environmental parameter mapper.

9. Udhayadhithan P A (2018617026) -  M.E VLSI Design and Embedded Systems (2018 - 2020) - Determination of sperm count in bulls semen using computer vision technique.

8. Jayalakshmi G S  (2017617007) -  M.E VLSI Design and Embedded Systems (2017 - 2019) - Integrated framework development for body control module.

7. Vaitheeshwari R (2017617024) -  M.E VLSI Design and Embedded Systems (2017 - 2019) - Design and implementation of human safeguard measure using SCNN approach.

6. Madheswaran K M S (2017617012) -  M.E VLSI Design and Embedded Systems (2017 - 2019) - FPGA based automation circuit design for antibiogram device.

5. Harini S (2016617009) -  M.E VLSI Design and Embedded Systems (2016 - 2018) - Leaf based plant classification using convolutional neural network.

4. Deepak Raaj M (2016617004) -  M.E VLSI Design and Embedded Systems (2016 - 2018) - Face detection and recognition using neural network approach.

3. Deepthi Susan John (2015617005) -  M.E VLSI Design and Embedded Systems (2015 - 2017) - Diagnostic feature automation and diagnostic tool for in-vehicle infotainment system.

2. Deepan Raj M (2015617004) -  M.E VLSI Design and Embedded Systems (2015 - 2017) - Automation of feature diagnosis for automobile instrument cluster using computer vision.

1. Gogul I (2015617009) - M.E VLSI Design and Embedded Systems (2015 - 2017) - Using CNN and LSTM to learn and analyze DSLAM Syslog Messages to predict anomalies.