Work Experience

Research & Work Experience

Motion Sensors & Signal processing Co-Op | Bose, Framingham, MA                                     Jan 2024 – June 2024

1. Automatic calibration technique using physics-informed machine learning algorithms for Bose Immersive Audio.

2. Developing signal processing and ML algorithms for automatic mapping between IMU axis and head axis.

3. Collaboration with cross functional teams for experimental setup and data collection.

  Graduate Research Assistant | IMPRESS LAB, Mississippi State University                                      Aug 2022 – Present

1. MMIC Configuration on TI 1443, TI 2243 Cascade radar, and INRAS RadarBook2 for Radar raw I/Q data acquisition for human sensing application.

2. Designed radar frames and chirp profiles to optimize range FFT, and Doppler FFT for single and multi-target scenarios.

3. Generated micro-Doppler, range-Doppler, and range-angle maps with FFT-based algorithms and beamforming for target detection and parameter estimation.

4. Writing script for simultaneous data acquisition from multiple sensors (radar, lidar, camera)

5. Generation of micro-Doppler, range-Doppler and range-Angle maps.

6. Building a complex-valued neural network architecture with custom Sinc function for classification of ASL data using raw radar data for near-real-time processing. [Paper] [GitHub]

7. Multi-modal fusion network design for video from lidar point cloud and RF data classification. [Paper] [GitHub]

8. Multi-target activity classification for radar using angular subspace projection. [Paper] [GitHub]

9. Developing a CNN model to generate high resolution spectrograms for efficient activity classification. [Paper] [GitHub]

10. Comparative analysis of HAR utilizing WIFI CSI (Channel State Information) data and RF modules. [Paper] [GitHub]

11. Developing a 65-class RF waveform dataset for interpretable CNN-based classification, and utilizing SDR transmit-receive pairs to collect real-world signals for validating and assessing the robustness of the CNN model. [Paper]

MSU/USDA Graduate Summer Research Intern ~ HPC                                                           May 2022 – July 2022

• Design of an L-band Radiometer : Design and implementation of L-band (1400 MHz to 1427 MHz) Radiometer using software defined radio (SDR) using MATLAB, C/C++. [Paper]

Graduate Teaching Assistant | Mississippi State University                                                                Aug 2021 – May 2022

1. Guided students over two semesters on PCB design using Cadence software for an audio amplifier project, and supervised testing of their custom-built PCB boards using oscilloscopes.

2. Covered core topics such as convolution, LTI system analysis etc. to students as an interim instructor for signals and systems.

Radio Service Specialist Engineer | Banglalink Digital Communications Ltd, Bangladesh.                 March 2020 – July 2021

1. Maintaining the Network coverage and quality of the responsible zone area (southwest part of Bangladesh).

2. Involved in 4G coverage up-gradation projects for the whole network.

Lecturer | Electrical and Electronic Engineering, Daffodil International University, Bangladesh.                   Aug 2019 – Feb 2020

1. Courses Taught: Delivered comprehensive lectures on Signals and Systems (covering convolution, Laplace transforms, and frequency-domain analysis), Digital Signal Processing (sampling theorem, Z-transform, FIR/IIR filters), Digital Electronics (Boolean algebra, combinational/sequential circuits), and Electrical Circuits (KCL/KVL, Thevenin/Norton theorems, AC circuit analysis).

2. Lab Instruction (Digital Electronics & Electrical Circuits): Supervised practical sessions where students used function multimeters, oscilloscopes to design and test digital circuits (logic gates, flip-flops) and analyze fundamental electrical principles (circuit measurements, transient/steady-state responses).

3. Encouraged students to integrate theoretical concepts with real-world applications by designing, assembling, and troubleshooting circuit boards—fostering an in-depth understanding of both system-level design and component-level interactions.