Mohamed Shoaib |Applications of Deep Learning
Academician/Research Scholar
NTU (Nanyang Technological University, Singapore) DOCTOR OF PHILOSOPHY at the School of Computer Science and Engineering (SCSE) (FULL-TIME) JAN 2023. Working as a full-time Researcher in the fields of Machine Learning, Data Science, and Artificial Intelligence. Working on applications like how to apply AI in Biomedical, Agriculture, and
communication.
Professional Profiles:
Education:
- Information Technology Institute (ITI)
Diploma in Artificial Intelligence powered by EPITA School of Engineering and Computer Science. APR 2021 – JAN 2022 - Faculty of Engineering, Menoufia University.
Master’s degree in Engineering Science. Subject: Utilization of Artificial Intelligence Techniques in Healthcare Applications. (Pre-Master GPA: 3.46/4) Oct 2019 – MARCH 2022
CERTIFICATIONS
- Udacity Certified -AWS Machine Learning Foundations Nanodegree Program (2021)
- Data Camp Certified- Data scientist, Data analyst, and Python programming Career Tracks. (2021.
- IBM Certified – ML, Data Science, NLP, and AI courses. (2020).
- Udemy Certified – ML, Data Science, NLP, and DL courses. (2019).
publications
- Deep convolutional neural networks for COVID‐19 automatic diagnosis
- Efficient Framework for Brain Tumor Detection Using Different Deep Leaning Techniques
- Hybrid classification structures for automatic COVID-19 detection
- Efficient deep learning models for brain tumor detection with segmentation and data augmentation techniques
- Efficient brain tumor detection based on deep learning models
- Simultaneous Super-Resolution and Classification of Lung Disease Scans
- Automatic modulation classification with 2D transforms and convolutional neural network
- Network connectivity enhancement by exploiting all optical multicast in semiconductor ring laser
- Automated diagnosis of EEG abnormalities with different classification techniques
- Unmasking Fraud in Food Delivery Business: Harnessing Amazon Web Services’ Random Cut Forest for Efficient Detection
- Practical Implementation for Brain Tumor Classification with Convolutional Neural Network
- Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models
- Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions
- A Survey on Crowd Analysis Using Artificial Intelligence Techniques
- Audio Security from a Chaotic Map Perspective
Mohamed Shoaib | Applications of Deep Learning