Faculty Bio

2013 – 2020:  Doctor of Philosophy, School of Electronics Engineering, Vellore Institute of Technology, Chennai Campus.

2011 – 2013:  M.Tech Embedded System Technology, Department of Electronics Engineering,  SRM Institute of Science and Technology, Chennai.

2007–2011:  Bachelor of Engineering, Department of Electronics and Communication(ECE), Anna University.

July 2021-Present: Assistant Professor, School of Electronics, Electrical and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai Campus.

June 2020 – June 2021:  Assistant Professor, School of Electronics Engineering, VIT University, Bhopal.

Jan 2019 – December 2019:  Assistant Professor Junior, School of Electronics Engineering, Vellore Institute of Technology, Chennai Campus

Jan 2014- December 2018:   Research Associate and Teaching cum Research, School of Electronics Engineering, Vellore Institute of Technology, Chennai Campus

Setting University Evaluation papers that comply Blooms taxonomy.

Conceptual teaching on Image Processing, Computer Vision and Artifice Intelligence.

Conceptual Training on Internet of Things, Drones/UAVs, Image processing.

In-charge of maintain the Inter School Guest Lecture calendar.

Design and development in various Embedded system projects and IOTs using Arduino and Microcontrollers.

Well known programmer in Image processing, Machine Learning and Computer Vision.

Microsoft Visual Studio-OpenCV, C++.

Spyder-Python,

Matlab

Codeblock-Open Framework

Keil

Embedded C Complier.

Latex-Texmaker

1. Efficient Models of Macro Facial Emotion Recognition Using Normalized Minimal Feature Vectors
   Description: In our research, we determined the facial emotion recognition in human face with less number of feature points using semi supervised classifier techniques. In this work, we developed the three models with different machine learning methods and find out the better efficient models using hyper parameter tuning, which has less computation time, reduced the data redundancy and good validation parameter results.
   Responsibilities involved:
   . Development of three models using supervised and semi supervised classifier.
   . Implemented the Constrained Local models face mesh for facial tracking and extraction.
   · Collection of huge databases and developed the real time datasets.1. Languages : C++, MATLAB, Open CV & Open Framework
   2. Tools : Code Block, Visual Studio 15 & MATLAB
   3. OS : Windows 7 & Linux Ubuntu
2. An Object Detection and Tracking for Surveillance using Unmanned Aerial Vehicle.
   Description: In this project, the drones/ UAV capture or track the object in the unrestricted or secured area. In this work, using camera and Raspberry bi, the capture image gives the detailed information of objects tracking and send to control units. This information will give the alert or alarm in surveillance area.
   Responsibilities involved:
   · Development the product and programmed using Embedded C++ and OPENCV.
   · Collection of datasets and controlling the DRONES in surveillance area.1. Languages : Embedded C++, Open CV, ML library
   2. Hardware & Software : Raspberry PI, Linux Ubuntu, UAV
3. Modern Billing System for Supermarket Using RFID.
   Description: Using 8051 microcontroller, we design the automatic billing system in supermarket. It reduces the time and fast processing of billing, which helpful for both customers and owner.
   Responsibilities involved: Development the product and programmed using Assembly Languages
   1. Languages : 8051 Assembly Language
   2. Hardware & Software : PIC 8051, RFID Tag

• Computer Vision, Image Processing, Machine Learning and Deep Learning, Data Analytics and Environmental Sustainability.

• Digital Electronics
• Micro Processor, Micro controller and Interfacing.
•  Embedded System Technology.