π Research Skills
π₯οΈ Programming Skills π
Python: machine learning and deep learning using frameworks like Tensorflow, Keras, and PyTorch.
Matlab: machine learning, deep learning, computer vision, image processing, and creative problem-solving.
R and STATA: proficient in statistical analysis and data manipulation.
π οΈ Software Skills π§°
COMSOL Multi-physics: Expertise in multi-physics simulation software.
Proteus and PSpice: proficient in electronic circuit design and simulation.
π¬ Lab Skills π§ͺ
Designing and Developing Instruments: Experienced in creating specialized equipment like Howland constant current sources and instrumentational amplifiers for measuring tetrapolar bioimpedance.
Electrocardiogram (ECG) and Electromyogram (EMG): skilled in the development of circuits for measuring vital signals.
Nerve Stimulation: Proficient in designing and developing nerve stimulators for measuring conduction velocity, among other applications.
π» Computer Literacy π±οΈ
Web Design: Proficient in HTML for web design.
Software Proficiency: Competent in using a range of software tools including Adobe Photoshop, Adobe Illustrator, and LaTeX.
π Research Interests π
π₯ Medical Image Computing and Analysis
π Medical Signal Processing
πΌοΈ Medical Image Segmentation
π€ AI in Medical Imaging
𧩠Semi-Supervised and Unsupervised Learning
π₯ Generative Adversarial Network (GAN) and Capsule Network
π§ Autoencoder, Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM)
π Natural Language Processing (NLP)