Bhoj Raj Thapa

I'm

About

As a dedicated Ph.D. candidate in Electrical Engineering at the University of Kentucky, I specialize in biomedical/neural signal processing and EEG-based brain-machine interfaces, with a strong focus on pursuing engineering methods (including machine learning, and signal processing) to interface humans and computers to improve the quality of life. With a commitment to impactful research (4 peer-reviewed research papers), I have contributed to 10+ projects blending signal processing and machine learning, and collaborated effectively with multidisciplinary teams, aiming to advance the practical applications of neural engineering.

Digital Signal Processing & Neural Engineering Researcher.

My research focuses mainly on biomedical signal processing, machine lerning (ML), deep learning (DL), and brain-machine interfaces.

Facts

+ Projects

Peer-reviewed Research Papers

+ years of Research/Work Experience

Skills

Multi‑disciplinary experience across neural engineering, biomedical signal processing, and Machine Learning (ML) / Deep Learning (DL).

Biomedical Signal Processing
7+ years

EEG/EOG, filtering, feature extraction, time–freq analysis.

MATLAB
7+ years

Signal processing, toolboxes, scripts, visualization.

PyTorch
2 years

Model building, training loops, inference, GPU workflows.

Machine Learning & Deep Learning
7+ years

Classifiers, DL architectures, evaluation, CV/EEG pipelines.

Python
6+ years

NumPy, SciPy, scikit‑learn, data engineering, matplotlib, and visualization.

TensorFlow
2 years

Keras API, training, export, deployment.

Resume

A Ph.D. candidate in Electrical Engineering at the University of Kentucky, specializing in advancing EEG-based brain-machine interfaces through cutting-edge research in neural/digital signal processing and machine learning.

Education

Doctor of Philosopy (PH.D.) in Electrical Engineering

Aug 2021 - Present

University of Kentucky, Lexington, Kentucky, USA

Dissertation Title (working on): EEG-based Brain Machine Interfaces using Freewill for Reaching and Grasping Tasks

Bachelor of Electronics & Communication Engineering (BE)

Sep 2014 - Sep 2018

Nepal Engineering College (Affiliated to Pokhara University), Bhaktapur, Nepal

Thesis Title: Classification of EEG signal before epileptic seizure to detect its onset for a patient-specific case.

Higher Secondary School (+ 2 Science)

2012 - 2014

Liverpool International SS/College, Kathmandu, Nepal

Concentration: Computer Science & Mathematics

From my days in higher secondary school in Nepal, my deep interest in Engineering and Technology was sparked by an enriching education in Computer Science and Mathematics, inspiring me to explore how innovative technological solutions can address real-world challenges.

School Leaving Certificate (SLC)

2012

Shree Mahendra Jyoti Secondary School, Bheerkot, Syangja, Nepal

Research/Work Experience

Graduate Teaching Assistant

Aug 2021 - Present

Department of Eletrical and Computer Engineering, University of Kentucky, Kentucky, USA

  • Utilized MATLAB and LabView to enhance instruction materials, evaluated over 200 assignments, and provided mentorships to 100+ students, improving their understanding of Signals and Systems through two courses: Lecture (EE421G) and Laboratory (EE422G).

Graduate Research Assistant

Aug 2021 - Aug 2022

Neural Interfaces & Signal Processing (NISP) Lab, University of Kentucky, USA

  • Recorded/acquired multi-modal EEG/EOG data of 22 subjects over 2.5 years for developing goal-driven Brain-Machine Interface (BMI) algorithms for freewill reaching and grasping task.
  • Analyzed and classified EEG data for pre-movement intention motor imagery using Fourier Transform and Spectrogram for frequency domain analysis and KTD-based reinforcement learning algorithms, thereby advancing understanding of neural patterns in movement prediction.
  • Executed precise EEG data recording for EEG-fMRI-based inter-ictal clinical epilepsy research study, contributing to critical insights in inter-ictal clinical research and potential treatment avenues.

Research Assistant

Aug 2019 - Dec 2019

Kathmandu Institute of Applied Sciences, Kathmandu, Nepal

  • Engineered an innovative, cost-effective mobile weather station leveraging Arduino, which captures comprehensive meteorological data, enhancing real-time environmental monitoring capabilities.
  • Led and mentored an intern, guiding the successful development and implementation of the mobile weather station project, ensuring quality and timely project delivery.

Portfolio

Discover a diverse portfolio of projects showcasing my expertise across biomedical signal processing, machine learning, and neural engineering, each designed to push the boundaries of technology and improve quality of life.

  • All
  • Biomedical Signal Processing
  • Machine Learning & Deep Learning
  • Others
Early Epilepsy Prediction
Automatic Weather Station
Customer Churn Prediction
EEG Motor Imagery
QRS in ECG Detection
Window Analysis in Freewill EEG
Kernel Temporal Difference in EEG-based BMI
Transfer Learning (TL) in Kernel Temporal Difference in EEG-based BMI
NFL Helmet Collision Detection using YOLOv5

Contact

I'm always interested in hearing about new opportunities, collaborating on projects, or just connecting to exchange ideas. Whether you're looking for someone to join your team, have a question about my work, or just want to say hello, feel free to reach out to me.

Location:

Lexington, Kentucky, USA

Phone Number:

Upon Request.