Hello! I'm Archana
I am a graduate student in Computer Engineering at the University of Virginia, Charlottesville. I'm passionate about building systems and aspire to develop efficient systems that contribute to the betterment of our lives. My interests lies in Embedded Systems, Image Processing, IoT and Human Computer Interaction.
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Archana Narayanan
Computer Engineer
Master of Science @ University of Virginia, Charlottesville
Phone:
434-328-9678
Email:
archana95in@gmail.com | an2adv@virginia.edu
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CV
EXPERIENCE
2020-Present
Graduate Research Assistant
UNIVERSITY OF VIRGINIA
Human Computer Interaction - Working on the development of a Haptic Interaction Device with Virtual Force Sensation.
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UVA BIOCOMPLEXITY INSTITUTE& INITIATIVE
Development of agent based model for risk prediction & controlling hospital acquired infections.
2019-2020
Graduate Teaching Assistant
UNIVERSITY OF VIRGINIA
Multivariate Calculus: Conducted workshops, graded exams & adapted learning activities/materials to meet individual needs of undergraduate students.
Embedded System and Robotics I: Assisted lab sessions & helped with code debugging for TI-RSLK MAX Robots.
2018-2019
Research Assistant-Intern
INDIAN INSTITUTE OF SCIENCE, BANGALORE
Developed a FPGA controlled Data Acquisition System for Raman Spectroscopy. Designed a real time VHDL program to obtain spectra from Charge-Coupled Devices for analysis. Programmed ADC's, CCD's, developed communication between devices using SPI and UART Protocols in VHDL from scratch
2017-2018
Technical Solutions Engineer
HEWLETT-PACKARD PPS SYSTEMS, INDIA
Hardware & OEM OS fault diagnosis rendering technical solutions to commercial clients. I worked on Driver compatibility, NVMe, BIOS, SSD, RAM, OS, RAID configuration issues. Achieved greater than 80% results on quality assessments consistently & improved remote resolution performance by 40%.
2017-2017
Intern
DOORDARSHAN KENDRA
Acquired knowledge on operations of Transmitter, Earth Station, Studios, Broadcast of Multimedia via Satellites and Radar technology with emphasis on Computer-based Communication Systems.
EDUCATION
EDUCATION
2019-2021
Master's Degree
UNIVERSITY OF VIRGINIA, CHARLOTTESVILLE
M.S - Computer Engineering , GPA : 4/4
2013-2017
Bachelor's Degree
VISVESVARAYA TECHNOLOGICAL UNIVERSITY
B.E - Electronics and Communication Engineering, GPA : 3.7/4
CERTIFICATIONS/COURSES
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Analog System Design Using ASLK Pro Texas Instruments 2015
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Internet-of Things Texas Instruments 2015
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Programming and Applications Using MSP430 Texas Instruments 2016
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Exploratory Data Analysis with MATLAB MATLAB 2020-Present
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Fundamentals of Digital Image and Video Processing NorthWestern University 2020-Present
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Fundamentals of Scalable Data Science IBM 2020-Present
SKILLS
C, Embedded C, Bash
VHDL, Verilog
Wireshark, Networking Fundamentals
Vivado, Cadence, Intel Quartus, Synopsys EDA Tools, Simulink, MentorGraphics, ModelSim
Python, MATLAB
SPI, UART, ADC's, TI-MSP430, Arduino, Raspberry Pi, Energia, Code Composer Studio(CCS)
Machine Learning
OpenCV, Scikit, TensorFlow, Keras, NumPy
PROJECTS
Remote Patient Monitoring with Tele-medicine based on Internet- of Things
ARM Cortex, GSM, Cloud, Wi-Fi module
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Built a remote healthcare system with emergency rescue mechanism through which vital health parameters of a patient are constantly monitored and stored in cloud, based on Internet-of Things using ARM CORTEX-M3
Escaping Saddle Points using Stochastic Gradient Descent
Supervised Learning, CNN
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Reproduced SGD on MNIST Dataset to reduce data dimension-dependent complexity in non-convex machine learning models using CNN in place of conventional ML programming with 90 % accuracy.
FPGA accelerated Image Classification using Neural Networks
Python, BNN Overlay,VHDL
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Accelerate Image classification to run at a greater speed with faster execution time(10^3) and greater classification rate using FPGA hardware overlay.
Dependability Analysis of Automated Lighting Control System by Probabilistic Model Checking
Formal Methods, PRISM
Utilized probabilistic model checking to study the dependability properties of the Automated Lighting System and evaluate its reliability by predicting timeline of component failures.
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Automated Irrigation System,GSM controlled Robot,RFID attendance system,Pedometer
Arduino,Embedded C, Microcontrollers
Developed multiple projects using Arduino micro-controller and various sensors interface.
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Music Controller using Gesture Recognition
Human Computer Interaction
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Created a new approach to create music using motion or gesture recognition. The system would transform motion/gestures from body movement into musical phonics closely integrating sonic experience can be with the motion movement.
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Remote Patient Monitoring with Tele-medicine based on Internet- of Things
ARM Cortex, GSM, Cloud, Wi-Fi module
​
Built a remote healthcare system with emergency rescue mechanism through which vital health parameters of a patient are constantly monitored and stored in cloud, based on Internet-of Things using ARM CORTEX-M3
Escaping Saddle Points using Stochastic Gradient Descent
Supervised Learning, CNN
​
Reproduced SGD on MNIST Dataset to reduce data dimension-dependent complexity in non-convex machine learning models using CNN in place of conventional ML programming with 90 % accuracy.
FPGA accelerated Image Classification using Neural Networks
Python, BNN Overlay,VHDL
​
Accelerate Image classification to run at a greater speed with faster execution time(10^3) and greater classification rate using FPGA hardware overlay.