EXPERIENCE

Thesis: https://smartech.gatech.edu/bitstream/handle/1853/70107/SURESHA-DISSERTATION-2022.pdf?sequence=1

Worked in the disease detection team and developed three different deep learning models for detecting patients with Nonalcoholic Steatohepatitis. The deep learning models were based on LSTM and were written in PyTorch.
Paper: https://link.springer.com/chapter/10.1007/978-3-030-53352-6_10

During December 2015 I worked under Dr. Prasanta Kumar Ghosh at IISc, for the SPCUP - 2016. The competition title was "Exploring Power Signatures for Location Forensics of Media Recordings". This competition was proposed by the IEEE Information Forensics and Security Technical Committee (IFSTC). We were a team of 6 members. Our team VIDYUT managed to secure 3rd place worldwide.
Paper: https://ieeexplore.ieee.org/abstract/document/8077090/

I joined Qualcomm India as Interim Engineering Intern in May 2015 and worked in the backend team. I developed algorithms to automate flows in the static timing analysis of processors and chips. I used industry standard STA tools such as PRIMETIME by Synopsis to implement Static Timing Analysis. During the internship I took part in the Idea Quest Competition organized for the Interns at Qualcomm and reached the final round of the competition where we showcased our projects to the employees and managers of Qualcomm. I was part of the 5 member team QVICK (Qualcomm's Visually Impaired Complete Kit). We developed a complete kit for the blind which included OCR for text-speech converter, Mapping room based on echolocation, and Visible Light Communication for Indoor Navigation. I worked on the Echolocation part of the project, where I was successful in calculating the room dimensions using an omnidirectional speaker and an array of microphones. A video has been attached which explains the QVICK Product. 

During December 2014 I worked under Dr. Prasanta Kumar Ghosh at IISc, for the SPCUP - 2015. The competition title was "Heart Rate Monitoring During Physical Exercise Using Wrist-Type Photoplethysmographic (PPG) Signals". This competition was proposed by the Bio Imaging and Signal Processing Technical Committee. We were a team of 6 members. Our team MIDITHA managed to secure 4th place worldwide.
Paper: https://ieeexplore.ieee.org/abstract/document/7289363

I was selected as one of the Summer Research Fellow by the Indian Academy of Sciences and was offered an internship at the Electrical Engineering Department of the Indian Institute of Science, Bengaluru. There I worked under the guidance of Dr. Prasanta Kumar Ghosh, Assistant Professor, EE Dept., IISc. The research internship commenced for about 10 Weeks and the topic I worked on was "Comparison of various Speech Enhancement techniques for denoising Magnetic Resonance Imaging (rtMRI) Audio". My aim was to do a comparative study on various speech enhancement techniques and to decide as to which is the best technique to denoise speech corrupted by rtMRI noise. I was awarded a scholarship by the Indian Academy of Sciences.