Jugal Panchal

About Me

Jugal is a graduate student, pursuing his Master's degree in Computer Science. Currently working on his graduate thesis with tools like Python, TensorFlow, and Keras for developing a Convolution Neural Network. His programming skills have always evolved with experience and his software engineering skills have helped him to engage in successful software implementation.

Jugal has a great passion for front-end development. Having a history of working as a Web Designer, Jugal has also worked on 3 research projects.

Work Experience

Software Developer Intern - iFolio Corp. (May 2018 - Present)

I am working as a Software Developer Intern at iFolio Corp.

Graduate Research Assistant - University of Georgia (Jan 2018 - May 2018)

As a Graduate Research Assistant (RA), I worked with Dr. Tianming Liu's on my Graduate Thesis for developing a project to explore possibilities to use eye tracking sensor for X-Ray reporting and analysis.

I also worked with Dr. Liu's research team to analyze and find methods of using body movement sensors for detecting autism spectrum disorder (ASD) within children of age group 5-12.

Graduate Assistant (Web Application Developer) - University of Georgia (Aug 2017 - Dec 2018)

As a Graduate Assistant (GA), I worked with Dr. Travis Glenn to develop web applications for his current research and a website for his lab. Link: http://baddna.uga.edu/

With this website, information on DNA studies and some of it's resources will become more widely accessible, bridging the gap of information exchange between scientists. The web application that I develop will help students and scientists around the world for their research on DNA.

Graduate Teaching Assistant - University of Georgia (Aug 2015 - Dec 2016)

As one of the teaching assistants for the course "Computing Society and Ethics (CSCI-3030)", I assisted the professor with grading recitation assignments and exams.

As the teaching assistant for the course "Computer Modeling and Science (CSCI-1100)", I helped students with difficult material, while grading assignments, quizzes, and exams for the professor.

Web Designer - Yojna Technosoft Pvt. Ltd. (Mar 2014 - May 2015)

I managed data on existing websites, which in turn gave me the confidence to single-handedly design websites. By the end of the internship, I developed 4 complete websites and hosted them for the company, gaining knowledge of the following web-programming tools- WordPress, Drupal, and PHP-MySQL.

Latest Projects

Gaze Data for Disease Classification

(Graduate Thesis)

Gaze Data for Disease classification is my graduate thesis project which will capture radiologists’ gaze information via an eye tracking sensor, using Python with NumPy and TensorFlow. Future utilization of this application will streamline the efficiency of diagnoses, by recommending diseases based on the patterns of gaze preferences.

Picture source: http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_ChestX-ray8_Hospital-Scale_Chest_CVPR_2017_paper.pdf

Sum-Product Networks- Decision Models

(Graduate Research)

Sum-Product Network (SPN) is a graphic model with variables as the leaves while the sum-node and product-node are the internal nodes with a weighted edge. Unlike the Bayesian and Markov networks that infers in exponential time, SPN infers in linear time in comparison to the size of the network. In turn, this means that SPNs are tractable for future patterns.

My research focus was to extend the project to a Sum-Product-Max Network, which will maximize the utility of the decision. In doing so, the action of the process will have a greater focus on making better and more productive results for decision making.

Analysis of Key-Points Detection Algorithms

(Paper link)

With the fields of object recognition gaining extreme popularity, the preliminary step of this project is to choose different features to be detected by the algorithm. This project implemented various Feature Detection Algorithms for analysis.

Web Application for Online-Voting System

This project was an online voting application, developed to mimic the American electoral voting system, while implementing all the standards of the American Electronic Voting Machine. Not only would the online application show the results, some basic analysis of the voting patterns would also be conducted.

Application for Viewing and Analysing fMRI Images

The application developed during this project would allow for similar functional activities of the brain to be labeled. By doing so, various patterns in brain functioning can be tracked and analyzed based upon different scenarios.

Image Editor with advance tools

Tools that would help to crop, resize, blur and perform many such operations were implemented in this application. These steps would act as an initial step as providing the images for high level application, such as robot navigation.