Nitish Nagesh

I am currently a master's student on exchange at the University of California San Diego (UCSD) specializing in Embedded Systems. I am pursuing research in the System Energy Efficiency Lab under professor Tajana Rosing. I am also supervised by professor Sebastian Steinhorst from the Technical University of Munich (TUM), Germany

I did the my first year of master's in Power Engineering at the Technical University of Munich. For the 2nd year, I am on an F-1 student visa at UCSD for three quarters till June 2020. I am tentatively scheduled to graduate in Septemeber 2020 from TUM.
I completed my Bachelor in Electrical and Electronics Engineering from R.V. College of Engineering, Bengaluru, India  /  Resume  /  LinkedIn  /  Github

Research Interests

I am interested in Wireless Sensor Networks and Embedded Systems. I am working towards a master thesis on relaibility management of IoT networks.

A novel fault diagnostic strategy for PV micro grid to achieve Reliability Centered Maintenance
K Uma Rao, Akash G Parvatikar, Gokul Subramanya, Nitish N Pramod R Rao
IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2016

Developed a real-time cloud-based fault diagnostic tool for a micro-grid based on their criticality

(In Progress) RelIoT:Reliability Simulator for IoT Networks
Kazim Ergun, Xiaofan Yu, Nitish Nagesh, Ludmila Cherkasova, Pietro Mercati, Raid Ayoub, Tajana Rosing

Sensing and Actuation in Agriculture and Gardening Environmnets
Final Project: Introduction to Embedded Computing
Report / Slides

Successfully demonstrated an integrated crop environment sensing and pest deterrence mechanism along with predicting future environment conditions

Real-time environment and soil pH sensing
Final Project: Platforms & Systems to Bridge the Digital & Physical World
Report / Slides / Video

Implemented a real-time system to monitor soil pH, soil conditions and ambient conditions to analyze their interdependencies thereby enabling effective crop management

Huffman Encoding using High Level Synthesis (HLS) in Vivado and Catapult
Final Project: Validation and Testing of Embedded Systems
Code & README-style report

Implemented a new canonized huffman encoding benchmark and performed design space exploration using Vivado HLS and Catapult for the Spector HLS project (click here for more details)

Food Waste Estimation using Received Signal Strength Indicator
Course Project: Embedded Computing and Communication
Report / Slides

Achieved 70% accuracy in estimating a heterogenous amount of food waste in a trash can using RF attenuation

TUM Junge Akademie

Buddy for PREP students

Mentor for International Exchange Students

Graduate Student Researcher

Member, Torrey Pines Speakers Toastmasters Club

Member, Association of Indian Graduate Students

Source Code : John Barron