Sathyashree V.

Worked on low power high precision analog to digital converter for biomedical applications research under Prof. Jose Silva Martinez

Teaching Assistant for Power Management IC design and Electronics courses Spring’25 Teaching Assistant for Power Management IC design course Spring’24

Graded ECEN 605 Linear Multivariable systems under Professor Shankar Bhattacharyya

Developed an Autonomous Underwater Vehicle (AUV), employing a Generative Adversarial Network for image enhancement and a Fully Convolutional Neural Network for plastic object detection. Assembled and integrated them on Raspberry Pi kit connected to AUV’s flight controller and tested various functionalities.

Worked on Energy Disaggregation methods of smart meter data to improve the accuracy of the itemized energy bills. Researched and implemented various Deep Learning and Evolutionary Algorithms to predict energy consumption of various devices using smart meter data and device ratings, and to design personalized incentives to reduce energy consumption at peak hours. The challenge was to solve for complexity due to varying operating characteristics of each device and in handling huge loads of dynamic real time data. Implemented Fully Connected Network and LSTM Networks, and improved the Mean Absolute Error compared to Non-Intrusive Load Monitoring Tool kit model(NILMTK) by 8%.

Worked with Automotive, Retail, Oil and Natural Gas, Home Appliances, Logistics Industry clients on Machine Learning, Deep Learning, Computer Vision, Web development and Data Engineering projects. Technologies Used : AWS, Azure, Elastic Search, Full Stack, Power BI, Tableau, MATLAB Languages Used : Python, SQL, R, Angular JS

Maximum Power Point Technique in Photo Voltaic(PV) Systems employing grid connected converter under Dr.Senthil Kumar : Proposed a system based on a 3-level clamped inverter that uses Sinusoidal Pulse Width Modulation and Synchronous Reference Frame Theory which provides independent control over active and reactive power injection into the grid, while simultaneously tracking the maximum power point of the PV array, with Total Harmonic distortion of grid current of 4.86%, under IEEE 519 standards.

Developed electrical reconfiguration technique to improve the MPPT: Developed the relative best electrical reconfiguration technique and tested using MATLAB to improve the Maximum Power Point under partial shading conditions at different insolation levels to deliver optimum power and voltage to the grid.

Underwent the training in the Research & Development section of New Product Development and Analysis Department regarding components used in the respective PCBs and Horn Switches in various Melody Maker Electric Horns. Soldered, Trouble shooted the faulty components in the PCBs

Relevant Courses: ECEN 704 Analog VLSI Circuit Design ECEN 620 Network Theory: Broadband Circuit Design (PLL) ECEN 720 High speed circuit design ECEN 607 Advanced Analog Circuit Design ECEN 665 CMOS RF IC Design ECEN 471 Power Management IC Design ECEN 610 Mixed Signal Interfaces

Relevant Courses: 1. Electron devices 2. Circuit theory 3. Analog Electronic circuits 4. Control systems 5. Linear Integrated Circuits 6. Power Electronics