Electrical Engineering Intern

VIDYA VISWANATHAN

Bellevue, WA ***** • 206-***-**** • *************@*****.*** • vidyaviswanathan.info • linkedin.com/in/vidyakv1993 EDUCATION

Master of Science in Electrical Engineering, GPA: 3.87/4 Expected: April 2017 University of Washington, Bothell, WA, USA

Major courses: Advanced Embedded Systems, Image Processing Applications, Advanced Signal Processing, Power Electronics, CMOS technology, Engineering Mathematics.

Bachelor of Technology in Electronics and Communication Engineering May 2015 NSS College of Engineering, University of Calicut, Kerala, India CGPA: 8.1/10.0, First Class with Honors and Distinction WORK AND INDUSTRY EXPERIENCE

Electrical Engineering Intern June 2017 – Present

PABCO Roofing Products, Tacoma, WA, USA

Experience in working with various processes and steps involved in the manufacturing of roof shingles.

Conduct Energy Studies using Fluke 1736 and 1738 Power Loggers.

Create Energy Study Reports using Fluke Energy Analyze Plus desktop software, which makes download, analysis, reporting of power quality and energy data easier.

Collect, analyze, and document power and energy information using Microsoft Word and Excel.

Summarize test results, present findings, and interact with product development and production groups. Teaching Assistant / Course Grader Sept 2016 – June 2017 University of Washington, Bothell, WA, USA

Subjects: BEE 425 Microprocessor System Design, BEE 331 Devices and Circuits I, BEE 332 Devices and Circuits II, BEE 507 Signals and Systems, BEE 505 Digital Systems and STMATH 493 Special Topics in Mathematics.

Teaching experience in selected topics of BEE 425, BEE 331 and BEE 332 under Professor Dr. Rania Hussein.

Helped set up lab and assignments using Kiel/IAR Workbench and TM4C boards.

Graded Homework assignments, quizzes and lab reports.

Assisted students in academic projects and related coursework. Assistant System Engineer – Engineering and Industrial Services Division Oct 2015 – April 2016 Tata Consultancy Services, Bangalore, India www.tcs.com

Attended extensive training called ‘Integrated Learning Program’ (ILP) under Engineering and Industrial Services (EIS) division.

Developed experience in C, C++, Software Systems and Embedded Systems.

Programming languages/Tools used: Java, JavaScript, HTML and Web development.

Designed a web application as part of ILP called ‘Library Management System’, which helped librarians to supervise all the activities regarding the management of the library such as adding members, adding books, removing books, issuing books, returning books etc.

Trainee May 2013 – June 2013

Bharat Sanchar Nigam Limited (BSNL), Cochin, India www.bsnl.co.in

Attended Industrial training at Bharat Sanchar Nigam Limited (BSNL), leading Indian state-owned telecommunications company.

Developed practical and application level experience in Mobile Communication: its signalling and network performance, basic concepts in Data Communication and various transmission units such as Optical Fibre Cables. TECHNICAL SKILLS

Operating System: Windows, LINUX

Programming / Simulation Languages: C, C++, MATLAB, OpenCV, Python, Network Simulator Tool (NS2), Basics of Java, JavaScript, HTML & SQL

Other Skills: Microsoft Office, Arduino Programming, TM4C-TI Programming, ACADEMIC PROJECTS

Auto’CAR’e: Modelling and design of a Robotic Car with Accidence avoidance systems Sept 2016 – Dec 2016 Department of Electrical Engineering, University of Washington, WA, USA URL: https://goo.gl/ah3yW2

Auto’CAR’e is a simple model of a driver friendly car which avoids accidents.

Development of Auto’CAR’e consists of three accident avoidance systems including sleep alert system, alcohol detection system and collision avoidance system.

Several sensors like MQ3 Gas sensor, IR sensor and Ultrasonic sensors were used for the implementation.

Implementation was done using TM4C123-Ti micro controller. Real-Time Lane Detection and Steering Angle Calculation (For Autonomous Cars) Jan 2017 – March 2017 Department of Electrical Engineering, University of Washington, WA, USA URL: https://goo.gl/D2CxSb

Development of one of the autonomous features used in self-driving cars, Road Lane Detection, including two systems where System I dealt with the detection of road lane lines in real time and System II dealt with the calculation of steering angle (angle of the lane lines with the horizontal) accordingly.

Implementation was done using Raspberry Pi (Model 3) and Raspberry Pi Camera (Version 2.1). Software requirements include OpenCV-Python and OpenCV-C++.

Glaucoma Detection April 2017 - June 2017

Department of Electrical Engineering, University of Washington, WA, USA URL: https://goo.gl/sufs9G

Computer based automated system is developed for glaucoma detection by optic disc and optic cup segmentation and CDR (Cup-to-Disc Ratio) calculation. Morphological image processing operations were used for CDR calculation.

CDR is calculated in two ways namely Area based CDR (ACDR) and Diameter based CDR (DCDR). Risk analysis is done using the standard CDR value range.

High-Resolution Fundus (HRF) Image Database is used for testing the proposed algorithm. Performance evaluation is done by the calculation of sensitivity and specificity metrics. Facial Image Reconstruction using PCA Sept 2016 – Dec 2016 Department of Electrical Engineering, University of Washington, WA, USA

Reconstructed the data set of Facial images from the data base provided by AT&T called 'The Database of Faces'.

Implementation was done in MATLAB by applying the concept of principle component analysis (PCA).

Test facial images were reconstructed by projecting eigen-faces onto it to find out the minimum number of principal components required, so that the reconstructed image is identifiable. Main application was to conserve storage space. Effect of Handover Performance in Mobile WiMAX Networks Sept 2014 – Jan 2015 Department of Electronics and Communication Engineering, NSS College of Engineering, University of Calicut, India

Evaluated the handover performance in mobile WiMAX network, which is the crucial factor that influences the Quality of Service (QoS). Parameters such as throughput, packet delivery ratio, latency etc. which affect the WiMAX network performance analysed against the handover parameters.

Analysis was done in two simulation scenarios, environment with less traffic and more traffic. Graphical analysis was done and optimum values of parameters for seamless handover was found. Simulations performed in Network Simulator Tool (NS2).

Presented at the Centre for Engineering Research and Development (CERD), established by the Government of India to act as a platform for the faculty and students to pursue their interest in applied research in engineering and technology. This project has been approved and awarded grants by CERD. RESEARCH PUBLICATIONS

[1] Viswanathan, Vidya, and Rania Hussein. "Applications of Image Processing and Real-Time Embedded Systems in Autonomous Cars: A Short Review." International Journal of Image Processing (IJIP) 11.2 (2017): 35.

[2] Sindhu, R., Sruthi, M., Sruthi, P., Suvarna, K., & Vidya, K. (2015). “Analysis of the parameters affecting handover performance in mobile WiMAX network”. SSRG International Journal of Electronics and Communication Engineering, 2(3), 128-136.

[3] "Lane departure warning system." Wikipedia. Online Editor. Vidya Viswanathan. Wikimedia Foundation, 16 May 2017. Web. 18 May 2017. <https://en.wikipedia.org/wiki/Lane_departure_warning_system>. Handle name/User name: Vidyakv

[4] "Traffic sign recognition." Wikipedia. Online Editor. Vidya Viswanathan. Wikimedia Foundation, 16 May 2017. Web. 18 May 2017. <https://en.wikipedia.org/wiki/Traffic_sign_recognition>. Handle name/User name: Vidyakv RELEVANT SEMINAR PRESENTATIONS

“Autonomous Cars – Latest Trend, Technologies used & Applications of Image processing / Computer vision” March 2017 Department of Electrical Engineering, University of Washington, WA, USA URL: https://goo.gl/5sx6sk

Presented a Research Seminar on latest happenings in the field of Automotive industry, with a live demo in OpenCV.

The seminar covered the latest technologies used, various security issues faced and the applications of image processing and computer vision in Autonomous Cars. ACTIVITIES & ACHIEVEMENTS

Chief Co-Ordinator of the event ‘Radio Treasure Hunt’ in the National Level Technical Fest ‘Impulse -2k14’.

Won first prize with ‘A’ grade in the item ‘Working model’ in Kerala State Level Mathematics Fair.

Exhibited the model ‘Model on Trigonometric Identity’ in the Southern India Science Fair and won ‘A’ grade.

Member of Institute of Electrical and Electronics Engineers (IEEE) and The Institute of Engineers, India (IEI).

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