Neural engineering · Neurorehabilitation · Biomedical signal processing · Machine learning
I study how neural signals and adaptive technologies can help us understand—and restore—motor and sensory function.
01 / About
I am a neural engineering researcher and postdoctoral research associate in the Calvert Neuroengineering Science Laboratory at the University of California, Davis.
My work spans neural engineering, neuromodulation, neurorehabilitation, biomedical signal processing, and machine learning. I am especially interested in translating complex neural data into adaptive interfaces that support motor and sensory function.
I earned my Ph.D. in Electrical Engineering at the University of Kentucky, where I developed EEG-based brain-machine interface methods for freewill reaching and grasping tasks.
“दुःख हुँदा नआत्तिनु, सुख हुँदा नमात्तिनु।
02 / Experience
Current chapter
My path connects foundational EEG research with translational neurotechnology and rehabilitation.
Download full resume ↓Postdoctoral Research Associate
Calvert Neuroengineering Science Laboratory · Sacramento, CA
Advancing neural engineering, neuromodulation, and neurorehabilitation research toward intelligent interfaces that help understand and restore motor and sensory functions.
Graduate Researcher & Teaching Assistant
Neural Interfaces & Signal Processing Lab · Lexington, KY
Designed EEG-based brain-machine interface studies, acquired multimodal EEG/EOG data, developed movement-intention decoding methods, and taught Signals and Systems courses.
Research Assistant
Center for Water and Atmospheric Research · Kathmandu, Nepal
Engineered a low-cost mobile weather station using Arduino and sensor integration, while mentoring an intern through development and deployment.
Doctor of Philosophy
Bachelor of Engineering
Selected recognition
12th International IEEE EMBS Conference on Neural Engineering
University of Kentucky · Brain-machine interface research
University of Kentucky · Excellence as a teaching assistant
Pokhara University · Full undergraduate tuition scholarship
03 / Research
Scientific Data
Thapa, B. R., Boggess, J., and Bae, J.
IEEE EMBC
Thapa, B. R., Tangarife, D. R., and Bae, J.
SCITECH Nepal
Shrestha, S., Shrestha, R. D., and Thapa, B. R.
04 / Skills
Multidisciplinary experience across neural engineering, biomedical signal processing, machine learning, and deep learning.
Analysis of electroencephalography (EEG), electrocardiography (ECG), electrooculography (EOG), and electromyography (EMG) signals, including filtering, feature extraction, time-frequency analysis, and artifact removal.
Signal processing, scientific scripts, visualization, EEGLAB, Brainstorm, and specialized engineering toolboxes.
Convolutional and recurrent neural networks, LSTM models, attention mechanisms, training, and evaluation.
Support vector machines, LDA, PCA, ICA, Kalman filters, reinforcement learning, and interpretable modeling.
NumPy, SciPy, scikit-learn, MNE-Python, data engineering, visualization, and PyQt application development.
Deep-learning model development, training workflows, evaluation, and deployment.
Arduino, Raspberry Pi, OpenBCI, ROS, sensor integration, prototyping, and connected systems.
Bash, Git and GitHub, LaTeX, C/C++, Java, LabVIEW, high-performance computing, and Shapr3D CAD.
05 / Projects
2025
EEG · Machine learning
2025
Transfer learning · BMI
2025
ECG · Signal processing
2022
Reinforcement learning · EEG
2021
Computer vision · YOLOv5
2019
Embedded systems · IoT
06 / Beyond the lab
Outside the lab, I play chess, cricket, and volleyball, build utility websites with LLMs, cook Nepali food, and watch science-fiction films. These are the places where I reset, experiment, and find new ways to think.
07 / Contact
I am always interested in thoughtful conversations about neural engineering, rehabilitation, signal processing, and collaborative research.