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CAREER OBJECTIVE

ANKIT DUBEY

Master of Technology – Embedded Systems

EDUCATION

PUBLICATION

PROJECTS

Looking for an opportunity to work in an organization which provides me a platform to learn, explore and develop my personal and professional skills, thus leading towards mutual growth.

Master of Technology, Embedded System June 2020

Vellore Institute of Technology, Vellore, India CGPA: 7.20/10.0

Bachelor of Engineering, Electronics and Communication May 2018 ITM Universe Vadodara, Gujarat Technological University, Ahmedabad, India CGPA: 7.80/10.0

Grade 12th March 2014

Bright Day School, Vadodara affiliated to CBSE CGPA: 6.00/10.0

Grade 10th March 2012

Bright Day School, Vadodara affiliated to CBSE CGPA: 7.60/10.0

*CGPA (Cumulative Grade Point Average)

Agricultural Plant Disease Detection & Identification; International Journal of Electrical Engineering and Technology (IJEET); Volume 11, Issue 3, May 2020, pp. 354-363 In this publication, developed an Embedded System for plant disease identification using Convolutional Neural Network to identify which of the diseases is present on the agricultural crop plants. The system can obtain accurate perception of plant disease in agriculture field and then transmit the same to users. Results are observed in mobile app and displayed on mobile screen. It can be made use of as a decision tool to help and support farmers in identifying the diseases that can be found in the agricultural crop plants. With an accuracy of 99% the methodology proposed can make an accurate detection of the leaf diseases.

Agricultural Plant Disease Detection and Identification Sept 2019 – May 2020 In this project a system is designed which detects plant disease on the common crops and recommends customized measures instantly to the farmers.

Smart Collision Avoidance Systems for Trains using Blockchain Dec 2018 – March 2019 In this project a system is designed which helps in securing the crucial data that is transmitted from moving trains to railways stations using blockchain.

Brain Tumor Detection in MRI Images using Image Segmentation Method Dec 2018 – March 2019 An efficient algorithm for tumor detection based on segmentation and morphological operators. Firstly quality of scanned image is enhanced and then morphological operators are applied to detect the tumor in the scanned image.

PROJECTS

Emotion Recognition and Classification for Virtual Classroom June 2018 –Dec 2018 Student Engagement Analysis

This project introduces a real time way of determining student’s engagement in class environments. Using smart real time feedback system, crucial information about the understanding level of each student can be extracted and analyzed.

Night Time Lamp Detection & Traffic Light Control System June 2018- Nov 2018 In this project a high accuracy vehicle detection mechanism with robust and adaptive vehicle mask training has been proposed effectively to detect vehicles in the night time scenario and control the traffic light according to traffic.

ZigBee based menu ordering system June 2018 – Dec 2018 In this project receiver and transmitter side are identified. Data from different customer section is transmitted to the main section through ZigBee.

GRIPOCOPTER August 2017 – March 2018

In this project, Gripocopter, quadcopter with arms is designed and prepared. The main objective of this project includes detection and grip the object automatically without any human interface and place the object to target location.

Automatic Counter & Switch Controller March 2017 – June 2017 The count is made using ultra sonic sensor. An Arduino board is used for programming and interface sensors. LCD screen is used to display required outputs. TECHNICAL SKILLS

PARTICIPATION & TRAINING

LANGUAGES: C, C++, HTML, Python, Assembly Language(8051), Embedded C programming, FPGA Programming(VHDL)

HARDWARE: Raspberry Pi, LPC2148, Arduino, Zybo

SOFTWARE: Arduino IDE, Proteus, Keil, AVR Studio, MATLAB, LINUX, Tensorflow, Xilinx, MIT Inverter, Putty, AWS, Firebase

OPERATING SYSTEMS: Windows, Ubuntu, Raspbian

Presented a paper in 17th International conference on Science, Engineering and Technology at VIT, Vellore

Participated in National Robotic contest ROBOCON 2017 at MIT, Pune

ROBO STAIRCASE Event at ITM Universe, Vadodara

CLEAR THE TABLE Event at ITM Universe, Vadodara

ROBORACE at ITM Universe, Vadodara

Attended Entrepreneurship Awareness Camp at ITM Universe, Vadodara

Embedded system training at ITM Universe, Vadodara PERSONAL INTERESTS

Trekking & Hiking

Playing cricket

Badminton

STRENGHTS

PERSONAL DETAILS

Disciplined

Good Communication Skills

Hard Working and enthusiastic in learning new things

Optimistic and patience

Team Player

Correspondence Address: C-203, Balaji Darshan Flats, Opp. Wageshwari Society, Karelibaug, Vadodara – 390018

LinkedIn: https://www.linkedin.com/in/ankit-dubey-242355b8

Date of Birth : 11th November 1996

Gender : Male

Residential City: Vadodara

Nationality : Indian

Marital status : Unmarried

Languages Known : English and Hindi

DECLARATION

I, hereby declare that the aforementioned details are true to my knowledge, keeping in mind the moral ethical values in presenting the information. Yours Sincerely

Ankit Dubey

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