This document is a resume for Jubi Krishnamoorthy summarizing their education and experience. They have a Master's degree in Electrical Engineering from the University of Pennsylvania and are currently a Research Assistant at the GRASP Laboratory working on a robotics project. Their experience also includes working as a Research Assistant at the Yodh Biomedical Optics Group and as a Grader. Their technical skills include programming languages like Python, Java, and MATLAB. They are currently working on projects involving web application development, prepaid energy meters, state estimation, and surveillance robots.

1. Jubi Krishnamoorthy ​jubikris@seas.upenn.edu 267­684­9722
4141 Spruce Street, Unit 102, Philadelphia, PA, 19104
Education
University of Pennsylvania​, School of Engineering and Applied Science, Philadelphia, PA
Master of Science in Engineering, Electrical Engineering, May 2016, CGPA: ​3.73/4
Courses Completed​: Introduction to Optimization Theory, Linear Systems Theory, Principles of Micro­Fabrication, Project
Management, Programming Languages and Techniques (Python / Java), Control of Systems
Current Courses​: Database Management Systems and Real Time Embedded Systems
PSG College of Technology​, ​TN, India
Bachelor of Engineering in Instrumentation and Control Engineering, GPA: ​9.37/10
Relevant Courses: ​Microprocessors and Microcontrollers, Digital Electronics, VLSI design, Linear ICs and Applications,
Embedded System Design, Operating Systems, Programming in C/C++, DSP, Digital Image Processing
Experience
Research Assistant
GRASP Laboratory, ​University of Pennsylvania, Philadelphia, PA July 2015 ­ Present
­ Working on a Project Funded by Walgreens to develop a robot for simultaneous localization, mapping and detection of
the product name and the Boundary Details using barcode of the products
­ Developing a GUI to relate the Occupancy map obtained from LIDAR with the dataset using the key point detection
algorithm currently in development
Research Assistant (Scientific Programmer)
Yodh Biomedical Optics Group​,​ ​LRSM, University of Pennsylvania, Philadelphia, PA October 2014 to December 2014
­ Decoded the previously built Python Breast Shape Reconstruction program
­ Helped to re­engineer the algorithm in MATLAB
Grader
Project Management ​(ESE­544)​,​ University of Pennsylvania, Philadelphia, PA September 2015 ­ Present
Paper Published
“Prepaid Energy Meter with GSM Technology”, American International Journal of Research in Science, Technology,
Engineering & Mathematics, June­August, 2013, pp. 195­198 ISSN (Print): 2328­3491, ISSN (Online): 2328­3580
Technical Skills
Languages/Design Packages: C, C++, Python, JAVA, SQL, NoSQL, Node.js, MongoDB, LabVIEW, MULTISIM 11.0,
MATLAB, SCADA, 8051 and 8086 Assembly Language Programming
Current Projects
Web Application based Orchestration tool for Immersive Entertainment System ­ ​Developing a User Interactive
Web Page ​which could define what effects user want to experience while watching the video from youtube or other web
sources. Also, we will set a cloud server in the back end. It includes the action libraries that could be experienced by the
users and output the effects by using LED lights, Vibrators and Other Devices.
Projects
Prepaid Energy Meter with GSM Technology ­ The project aims in designing a Real­Time System that enables the user
to pay for electricity before usage via smart cards. The user is also annunciated about the usage periodically using GSM
communication module thereby making it a full­fledged, low cost, portable product.
State Estimation of a Non­Linear System ­ ​The system that is being used is a Single Tank Conical System. Here Kalman
Filter algorithm is used for state estimation and the code was developed using MATLAB.
Remote Controlled War Field Surveillance Robot Using RF Technology ­ Developing a robot with wireless camera for
spying and monitoring of target in war fields using RF Technology, which can also be operated as remote control BOT.
Optimal selection of weighing matrices Q and R for unconstrained MPC ­ ​Using the closed loop optimal feedback
control algorithm the effective weighting matrices Q and R has been obtained for controlling the Two Tank Interacting System
and Continuous Stirred Tank Reactor (CSTR) and fed to the existing MPC controller and the effective performance of the
design is achieved for the desired natural frequency and damping ratio.