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Hire Divya V.

India

USD 18 /hr

Freelance Prompt Engineer - Electronics Engineering | Research Experience in Human activity recognition using video

Profile Summary

Possess 3.9 years of research experience working on various projects and writing proposals in a government organization and freelance experience as Data Partner for electronics engineering. As Freelance Prompt Engineer the role involved creating question and answer pairs for the images from Electronics engineering related books. This involved two different kinds of work one is creating the whole prompt - Response pairs for the given image from the scratch and later involved in enhancing the contents created by others also. The two major projects during the tenure as Project engineer include Human activity recognition using video and study of artificial methods for air quality forecast. Recognition of Human activities using video sequences in indoor office environment for ubiquitous applications of building management. The experience involves survey of existing methodologies for human activity recognition, Development of software for recognition of human activities such as Sitting, Standing and Walking using MATLAB, Testing of the developed system in indoor office Environment. The other project was the air pollutant concentration forecast with the data available publicly for the city. The work involved Survey of existing methods for pollutant forecast, Study of existing methods for pollutant forecast, Contributed towards Project Proposal for two projects. Proposal writing involved in study and design of projects on the following segments the visible light communication using LEDs for real time application, Efficient Hydroponic System for Crop Production under Smart Environmental Conditions and Optical Sensor Based Contamination Detection (Fluoride, Arsenic & Nitrate) for Water Quality Monitoring. Academic Projects involve various image processing work. Analysis of brain MR images using self organizing maps in which Self organizing map is used for organizing the features obtained from the brain MR images thereby segmenting the various tissues in the brain. The segmented results are used for abnormality detection in brain MR images. Medical image segmentation based on a hybrid of Markov random fields and social algorithms which involves Markov random field to model the spatial coherence between the pixels. Brain MRI image segmentation based on the combination of Social algorithm with Markov random field algorithm helps in better segmentation using neighborhood information. Vision based texture recognition which involved texture recognition. Real world textures have either geometric or photometric deformities but sometimes both. Geometric deformities are eliminated using Quaternion wavelet transform, photometric deformities have been eliminated by taking the input from correct illuminating direction estimated using Differential evolution and with the input illumination level known the texture is recognized using Snell’s law.

Subject Matter Expertise

• ★ Image Processing
• ★ Pattern Recognition
• ★ Computer Vision
• ☆ Electrical Engineering
• ☆ Electronics Engineering
• ☆ Signal Processing
• ☆ Computer Engineering
• ☆ Telecommunications Engineering
• ☆ Wireless Sensor Networks
• ☆ Software Engineering
• ☆ Internet of Things
• ☆ Data Analysis
• ☆ Algorithm Design
• ☆ Data Processing
• ☆ Data Visualization
• ☆ Machine Learning
• ☆ Artificial Intelligence
• ☆ Matlab
• ☆ LaTex

Services

• Writing
• Research
• Data & AI
• Product Development

Writing Technical Writing, General Proofreading & Editing

Research Feasibility Study, Fact Checking, Scientific and Technical Research, Systematic Literature Review

Data & AI Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Data Mining, Data Cleaning, Data Processing

Product Development Reverse Engineering

Work Experience

Phd Data Partner

Telus International

June 2025 - September 2025

Project Engineer

Centre for Development of Advanced Computing

June 2013 - March 2017

Education

Master of Engineering

Madras Institute of Technology

August 2011 - May 2013

Bachelor of Engineering

Thiagarajar College of Engineering

June 2007 - May 2011

Certifications

• Certification details not provided.

Publications

CONFERENCE PAPER

Divya Vijayarajan, B. Sathyabama, V. Divya, K. Sivasankari, S. Raju, V. Abhaikumar (2011). Quaternion Based Highlight and Shadow Detection for 3D Surface Recognition . 2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics.

Divya Vijayarajan, G Kavitha Multiple sclerosis lesion segmentation in brain MR images based on a hybrid of Markov random field and Ant colony optimization . International Conference on Bio-signals, Images and Instrumentation 2013.

BOOK CHAPTER

B. Sathyabama, V. Divya, S. Raju, V. Abhaikumar (2010). A Population Adaptive Differential Evolution Strategy to Light Configuration Optimization of Photometric Stereo . Lecture Notes in Computer Science.