
Santosh Subramanian
Internship Project

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About me
RTL Design Engineer
Education

North Carolina State University
2021 - 2023Master of Science - MS Computer Engineering
SSN College of Engineering
2016 - 2020Bachelor of Engineering - BE Electrical and Electronics Engineering
Experience

Council of Scientific and Industrial Research
Jan 2020 - Sept 2020Internship ProjectI worked as a project intern at the Council of Scientific and Industrial Research on the project titled "Identification of cognitive stress from EEG signals using Autoencoders". Recorded raw EEG signals from Emotiv brain sensor into a .CSV file. Using a 5th order butterworth filter, both EMG and power frequency are removed with lower cutoff frequency as 1 HZ and upper cutoff frequency as 40 HZ. This process is known as cleaning of EEG data. Then an autoencoder is trained and tested. An autoencoder is an unsupervised artificial neural network which learns efficient data coding. To train the autoencoder, some gaussian noise is to be added row wise, so that the autoencoder can be effectively trained to give clean data as the output removing the added noise. Thus the autoencoder learns by itself to automatically remove noise from data and to provide a clean EEG data. Then the autoencoder is tested by feeding an raw unprocessed EEG dataset and observe its efficiency. For identification of cognitive stress, we need to perform feature extraction and classification of the processed EEG data. This is done using a conventional neural network (CNN). The tested CNN can predict the state of mind of the user, but only limited to thinking words like COLLEGE, FRIENDS, LAB, CAT, DOG, and has an accuracy of 88%. Show less

NXP Semiconductors
May 2022 - Aug 2022RTL Design Intern
Intel Corporation
Aug 2022 - Jan 2023Pre-Silicon Design Verification Intern
NXP Semiconductors
Jun 2023 - nowMicro-Architecture/RTL Design Engineer-µarch implementation, RTL Design and integration of a function_present filter and 32 entry LUT for PCIe IP to route CPU PCIe configuration space access requests to backend software in case of a function miss in LUT-Implemented timeout mechanism to ensure that user software is not blocked out indefinitely from executing other configuration requests if backend software fails to acknowledge a request.-Implemented Messaged Signal Interrupt (MSI) feature to route errors to corresponding event collector -Definition and implementation of register and bit fields for various address spaces (PRB, IERB) and improved register reusability with other PCIe IPs-Identified and resolved input to output timing paths post synthesis to meet timing and area requirements Show less
Licenses & Certifications
- View certificate

VLSI CAD Part 1: Logic [Honors]
University of Illinois Urbana-ChampaignDec 2020 - View certificate

VLSI CAD Part 2: Layout [Honors]
University of Illinois Urbana-ChampaignFeb 2021 - View certificate

C for Everyone: Programming Fundamentals
University of California, Santa CruzMar 2021
Honors & Awards
- Awarded to Santosh SubramanianIntel Work Recognition Award Thrilochan S Dec 2022
- Awarded to Santosh SubramanianIntel Work Recognition Award Weizhi Shaun Chua Oct 2022
Languages
- frFrench
- enEnglish
- taTamil
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