Yuvraj Patel
Objective
Seeking an internship or full-time/part-time position in the engineering field to enhance my skills and
proficient knowledge in the field of computer engineering and developing my skills in computer architecture,
embedded system, machine learning, neural networks, and programming
Education
M.S. Computer Engineering New Jersey Institute Of Technology Sept 2019 - Dec 2020
B.S. Computer Engineering New Jersey Institute Of Technology Sept 2017 - May 2019
Projects
32 Bit Optimized Carry Select Adder
- The circuit was built using 180nm CMOS process TSMC model files in Mentor Graphics
- It was tested and optimized to achieve an operating frequency of 900 MHz
- The design was able to withstand noise and had a low power consumption
- The layout was designed for a compact silicon area and less than 40 pins were used for implementation
Click here for project files link.
Hexapod Drone
- Built a prototype of a controllable robot that can fly and walk through a computer software interface
- Developed a UI on laptop that sends signal to flight controller and hexapod controller at the same time
- Used RF modules with Arduino nano to communicate between interface and robot
- Designed and 3-D printed the parts of the drone and hexapod
Click here for project files link.
Implementation of CNN using MNIST data set on CPU and GPU
- A Convolution Neural Network (CNN) was implemented using four layers: convolution, max pooling, flatten, and fully connected layer
- The CNN was trained using the MNIST data set, which is a database of handwritten digits
- CNN was trained on both GPU and CPU, the results were compared
Click here for project files link.
Range Sensor using FPGA
- Altera-DE2 FPGA board was used to implement the Range senor, that can calculate distanse using ultrasonic sensor and display on seven segment display
- Hierarchical design approach was used to design and combine the VHDL components
Click here for project files link.
RPN(Reverse Polish Notation) calculator
- Used 64 bit Ram, Multiplexer, counter, ALU, shift register, decoder, and some general components
- Used RTL code to design the circuit and hardwire the chips and components
- The control unit was designed using a decoder and a counter
Click here for project files link.
Prediction of House Prices: Kaggle project
- Used Machine Learning algorithms to predict house prices
- Performed data cleansing, feature engineering, and model evaluation to improve prediction accuracy
- Used jupyter notebook for doing the project
Research and Master's Thesis
Memristive device characterizations(Thesis)
- Thesis: Treated HfO2 Based RRAM Devices With Ru, TaN, TiN As Top Electrode For In-Memory Computing Hardware
- Involved in the electrical characterization of Hafnium and Silicon-dioxide based Memristors and other resistive random access memory (RRAM)
devices and explored methods to mimic the plasticity of biological synapses using these devices
- Experimented with different materials and their resistive properties for neuromorphic computing applications
- Presented measurement results to the research team comprising scientists from Prof. Catherine Dubourdieu's group at Helmholtz Zentrum Berlin.
Click here for project files link.
Summer research internship
- Worked on RRams, primarily on Cu/SiO2/W memristive devices
- Literature study on Cu nanofilament formation in SiO2
matrix
- Used Dip-coating technique to deposit SiO2
on W and made first-ever dip-coated W/SiO2
(14nm)/Cu device
- Characterized the structural, material, and optical properties of the devices using ellipsometry, AFM, and SEM
- Gained knowledge with other deposition techniques: Sputtering, ALD, CVD, PECVD, PVD, thermal
evaporation, and MBE
Click here for project files link.
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