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Python, Medical image processing, Diagnosis Instrument

Location:
Ahmedabad, Gujarat, India
Posted:
November 26, 2020

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Resume:

KARAN PATEL

Ahmadabad, Gujarat-****** +91-972*******

adh5hs@r.postjobfree.com https://www.linkedin.com/in/karan-patel-1210/ https://orcid.org/0000-0001-6084-4748 OBJECTIVE

To achieve good knowledge about medical equipment, product development and medical image analysis. EDUCATION

L.D. College of Engineering, Ahmedabad, Gujarat, India 2016 – 2020 Bachelor of Engineering in Biomedical Engineering (9.06 CGPA) Radiant school of science, Gandhinagar, Gujarat, India 2014 - 2016 H.S.C with 86%

TECHNICAL SKILLS

• MATLAB

• Python

• Deep Learning

• Product Development

• Machine Learning

• Raspberry pi

• Augmented Reality

• ARCore

• Diagnostic Instrument

• Image processing

• Medical image analysis

ACHIVEMENTS, CERTIFICATION & EXTRA-CURRICULAR ACTIVITIES Patents:

• I and my team filed a provisional patent of “NIVaRAn” which is a diagnosis device of COVID-19 & we have IP Rights for that.

• Me and my project partner file patent on device called “eDRA” which diagnosis disease called Rheumatoid Arthritis.

• I have also IP rights of device called “PRAN” which is one type of mask with special oxygen therapy system. We are developing this project for COVID19.

Paper Publications:

• I wrote review paper on “Assistive technology based on computer vision and image processing”. I am the first author and coauthor is prof. B.H Parmar. Paper is published in Taylor & Francis Group. View publication: https://doi.org/10.1080/17483107.2020.1786731

• I write a research paper on “Image enhancement and colorization of X-ray images”. Paper has two authors same as in assistive technology. Paper is selected in S.T.M publication house. View publication: http://dx.doi.org/10.37591%2Fjoipprp.v7i2.2471 Mobile Application:

• I and my friend have published android mobile application named “ARLens: for Students of Next Generation” on Google Play store. View publication: https://play.google.com/store/apps/details?id=com.ARlens.ARlens Certified Courses/Courses taken:

• Python for everybody

• Deep Learning

• IoT (Internet of things)

• Deep learning for Business application

• Sequence, Time series and prediction

• Emerging COVID19 Virus, method for detection,

prevention and control by WHO.

• Machine Learning

• Introduction to Augmented reality and Google ARCore Curricular Achievements:

• My team attained 6th position at National level online hackathon “Hack the Crisis India” for NIVaRAn Project.

• Team got selected in TOP 30 teams in “SAMADHAN” competition organize by MHRD.

• My team is 1st runner up at 21st ISTE National Student’s Convection.

• SSIP (Student startup innovation Program) grant rupees up to 3, 40,000/- to me and my team members to develop 3 different projects.

• Participate in MIT Hackathon Beat the pandemic II & Turning the Tide-INDIA.

• Appreciation award for astonishing work during the lockdown on the COVID19 projects, from LD College of Engineering. INTERNSHIP/PROFESSIONAL TRAINING

Summer Internship:

• I did Internship at Columbia Asia hospital, Ahmadabad, Gujarat. Achieved a knowledge of Product maintain of medical devices.

ACADEMIC PROJECTS

1. Ultra EYE: Device to assist the blind people Dec 2017 to Sept 2018 Abstract: We develop the device which detects the obstacles in blind path. We use Ultrasound sensor to detect the obstacles. After the detection device send the signal to mobile phone and phone will generate the sound “ALERT”. 2. Image Enhancement and colorization in X-ray images (Guided by: Prof B H Parmar) Dec 2018 to Fab 2019 Abstract: We develop the GUI interface for dentist from which they can get colorize X-rays. This technology gives flexibility to understand the monochromatic images in better way. Technologies used: MATLAB, Pseudo coloring, Image processing 3. Review the current status of Assistive technology for visually impaired Dec 2017 to Sept 2019 Abstract: Review paper focus on assistive device based on the computer vision and image processing. Paper gives the detail description of the product and availability in market. Article is published in Taylor and Francis publication house. Technologies used: Rehabilitation, Scientific writing, paper publishing experience. 4. eDRA: early Diagnosis of Rheumatoid Arthritis (Guided by: Prof B H Parmar) Aug 2019 to Fab 2020 Abstract: It works on a principle thermal data processing. Device captures the thermal data from joint and based on that it detects the class of R.A.

Technologies used: Solid works, Python, Thermal data capturing, Deep Learning 5. NIVaRAn (Non-Invasive Vital sign & Respiration Analyzer) (Guided by: Prof B H Parmar) Mar 2020 to Present Abstract: NIVaRAn diagnoses the COVID-19 disease by measuring human body parameters non-invasively. It is also respiration analyzer for other respiratory diseases as well.

Technologies used: Solidworks, LabVIEW, Python, Raspberry Pi, 3D Printing 6. ARLens: for Students of Next Generation May 2020 to June 2020 Abstract: ARLens is an augmented reality mobile app which is used to digest 2d complicated figures to easy 3D model representation in augmented reality. ARLens will help students to understand the concepts easily. Technologies used: Unity3D, ARCore, Blender

7. COVID19 surveillance portal Mar 2020 to Present Abstract: COVID19 surveillance portal is a portal in which COVID19 positive patients fill the details and parameters, their parameters display on the hospital side. Purpose of this project is to avoid the contact between the patients and physicians. Technologies used: HTML, CSS and Healthcare management. 8. Deep Learning Algorithm to detect the COVID19 from Chest X-ray and CT Scan images Fab 2020 to Mar 2020 Abstract: Deep learning algorithm to detect the COVID19 from chest X-ray images and CT scan image datasets. I use VGG16 model to detect and train the model. Algorithm developed in the Python Language. View sample: CT scan model https://youtu.be/V9Drx2iTaK0 X-ray model https://youtu.be/vy6K0V9TptQ

Technologies used: Deep Learning, Python, Data visualization



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