Priyanka Kesavadas
Abschluss: M.Sc, Hochschule Karlsruhe - Technik und Wirtschaft
Stutensee, Deutschland
Werdegang
Berufserfahrung von Priyanka Kesavadas
7 Monate, Jan. 2020 - Juli 2020
Student Research Assistant
Max Planck Institute for Nuclear Physics
1. PCB design 2. design of cosmic ray muon detector - Two low-cost PCBs designed with a low-noise amplifier that is able to read out up to 50 diodes in parallel, with the components both machine and hand soldered. - Software used: KiCAD (PCB Designing), LTSpice (Circuit Simulation) - system designed to be able to run using the power supplied by a standard USB port for integration onto PC-based system.
Ausbildung von Priyanka Kesavadas
1 Jahr und 8 Monate, März 2019 - Okt. 2020
Sensor systems Technology
Hochschule Karlsruhe - Technik und Wirtschaft
Pursued the course as a dual degree student from VIT University, India. Projects: • Data Analysis for Citizen-science Cosmic Ray muon detector (Thesis) - Data analysis on a newly designed cosmic ray muon detector using C++ and ROOT software. - Analysis methods used: averaging & normalization, scatter plots, efficiency, signal to noise ratio - Analysis done for previous detector models and comparison was done. - Optimization of new model by changing critical components and performing analysis.
2 Jahre und 2 Monate, Aug. 2018 - Sep. 2020
Sensor systems Technology
VIT University, India
Projects: • Fabrication of Thin-film based Sensor fabrication for formalin detection - Fabricated sensor (thickness < 100nm), Substrate used: Glass and Kapton, Methods: RF Sputtering , XRD characterization, Thermal evaporation, Soldering • Design for Wearable Blood Pressure Measurement Device - Blood Pressure obtained using data from ECG sensor (HRM Ad8232) and PPG sensor (pulse oxymeter) - Algorithm developed in LabView - Cuff-less and continuous monitoring of BP and Heart rate in real- time
3 Jahre und 10 Monate, Aug. 2013 - Mai 2017
Electronics and Communication Engineering
University of Calicut
Projects: • IoT based Patient monitoring system. - Continuously monitor critical parameters of patients : temperature (LM35), heart beat (sensor circuit with LM358 and LED) and ECG (AD8232) - Data collected transmitted using IoT module to a universal IoT platform. - Timely SMS alert with the help of GSM module in case of parameter anomaly. - Programming language: C programming
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