Subhasri Mitra

Results-driven Hardware Developer with extensive experience in designing and simulating communication systems for binaural hearing aids and verifying system implementations on FPGA and ASIC platforms. Currently involved in the development of near-field magnetic induction systems for F1/T0 platform, encompassing end-to-end design, MATLAB modeling, simulation, HDL code verification, and hardware testing.

Proficient in fixed-point computation and Hardware Description Languages, particularly SystemVerilog. Skilled in MATLAB, Simulink, and GitHub for collaborative development workflows, with solid Python knowledge.

Actively leading and contributing to forefront projects, including the exploration of future wireless technologies and participation in feature group activities. Working knowledge of Bluetooth standards such as LE Audio, Bluetooth Classic, and Auracast through forefront or feature group activities. Strong foundation in Communications Engineering, with specialized expertise in communication systems and machine learning.

1. During my tenure at WS Audiology, I have worked on innovation projects and have been the major contributor to five patent applications for next generation of hearing aids.

2. Studied Elite Master Programme in Advanced Signal processing & Communication Engineering supported by the Elite Network of Bavaria.

3. Graduated with Distinction (GPA 1.3) from University of Erlangen- Nürnberg.

4. Qualified for award of Scholarship for Higher Education (SHE) under Innovation in Science Pursuit for Inspired Research (INSPIRE) for being one of the top 1% performers in high school final examination.

1.  Master Thesis in Fusion of Camera and Radar Sensor Data for Target Detection in Autonomous Driving  using Deep Learning.

2.  MSc. Major Project on Modelling Hybrid Beamforming in Massive MIMO Architectures with special  focus on Reflect Array Antennas. 

3. MSc. Minor Project on Simultaneous Wireless Information and Power Transfer (SWIPT) Systems  Employing Non-Linear Energy Harvester with      Memory using Markov Reward Chains and Deep Neural  Networks.

4. BSc. Final year project on Design and Implementation of Wireless FM Transmitter Circuit. Designed an FM transmitter which is less prone to noise and physical obstructions, with high efficiency  and good range of transmission.