Research Portfolio
Welcome to my research portfolio featuring my completed MSc thesis and ongoing PhD research. Currently pursuing a PhD in Electrical Engineering at Tel Aviv University, with completed MSc in Brain Science and BSc in Computer Science from Hebrew University. My research focuses on finger joint angle estimation, soft electrode arrays, and human-machine interfaces.
Research Poster
Finger Joint Angle Estimation
Research on finger joint angle and gesture estimation under dynamic hand position using soft printed electrode arrays.
MSc Thesis
Single Neuron Functional Analysis
MSc thesis using information theoretical approach to analyze computational capabilities of individual neurons and their input-output relationships.
Neural Networks
Coming Soon
Advanced neural network architectures for real-time EMG processing.
Research Projects
Finger Joint Angle and Gesture Estimation
Current PhD research (2024-2025) on finger joint angle and gesture estimation under natural conditions using soft printed electrode arrays. Paper conference publication in progress.
PhD Research • Tel Aviv UniversityAlgorithmic Complexity of Neuron Models
Compared algorithmic complexity between different biophysical neuron models (2022-2024). Approximated entropy of model outputs and analyzed computational power of different neurons.
MSc Research • Prof. Idan Segev's LabBiophysical Neuron Modeling
Modeled single neuron biophysical simulation using morphology architecture deep neural networks (2021-2022). Quantified input-output relations using dendritic tree architecture.
Research Project • Prof. Idan Segev's LabEEG Visual Attention Decoding
Utilized multivariate pattern analysis to decode direction of eye movement before occurrence (2019-2020). Classified time series from 64 EEG channels.
BSc Project • Prof. Leon Deouell's LabTeaching Experience
Teaching Assistant for Brain-Computer Interfaces (2021-2022) - assisted students in EEG signal decoding and system development with ALS patients. Also TA for Dynamical Systems and the Neuron course.
Hebrew University of JerusalemTechnical Skills
Programming, Probability, Statistics, Image Processing, Signal Processing, Machine Learning, Deep Learning, Information Theory, Computational Neuroscience.
Core Competencies