Badges

I have a passion for AI and have published some academic papers in this field. I have worked on various deep learning algorithms such as image classification, object detection, image segmentation, image generation, and also several pre-processing technique. I have also worked extensively with medical imaging and image processing techniques to develop machine learning algorithms for medical purposes. In addition to my technical skills, I am also proficient in software development using Python and html.

Deep Learning

Development of image processing and deep learning methods based on physics concepts

computer vision

Application and development of image processing for various purposes

medical imaging

Medical image processing for X-ray, CT-Scan, and MRI with deep learning

computational physics

Computationally applied physics concepts to solve various problems

Badges & Professional Development

Some Certificate and Badges for Professional Development Achievement.

Python for Data Science and AI

IBM Digital Credential

Applied Data Science Spesialization

IBM Digital Credential

Capstone Project : Applied Data Science

IBM Digital Credential

Data Analysis with Python

IBM Digital Credential

Data Science Orientation

IBM Digital Credential

Data Visualization with Python

IBM Digital Credential

DeepLearning.AI TensorFlow Developer Specialization

Issuer : Coursera

Applied Social Network Analysis in Python

Issuer : Coursera

Natural Language Processing in TensorFlow

Issuer : Coursera

Applied Machine Learning in Python

Issuer : Coursera

Sequences, Time Series, and Prediction

Issuer : Coursera

Text Mining in Python

Issuer : Coursera

Talks and Presentation

Research Presentations, Conferences, Public Talks

Student Talks

There are many different image processing methods that can be used, and the best approach for each image will vary depending on the content and quality of the original image.

ICOMELISA

I am talking about the image segmentation method on head MRI images for low-glioma segmentation. This method is very effective and has helped me a lot in my research.

Shift Talks

Deep learning can be used to diagnose diseases, predict patient outcomes, and provide personalized treatment plans.

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