Mohammed Al-Garadi, PhD.

Hello, my name is Mohammed Ali Al-Garadi.

Dr.Al-Garadi a research assistant professor of biomedical informatics with experience working in the field of natural language processing, machine learning, and deep learning. His research focuses on applied NLP/ML/DL which includes developing and fusing these approaches with application to, biomedical NLP, health data mining, social media mining for health applications, computational medicine, and wearable and sensor devices (IoTs).

ABOUT

Personal Data

Name: Mohammed Ali Al-garadi
Center for Improving the Public's Health through Informatics,
Google Scholar

Research Interest

I study A.I. techniques that help understand the world and benefit society. In particular, Machine learning/ deep learning applications, focusing on applying, developing, fusing these approaches with application to computational medicine, biomedical NLP, wearable and sensor devices, human behavior analysis, and mental health applications.

Experience

Research experience

Postdoctoral scholar Emory University Nov 2019 - present
PostDoc at University of California San Diego
Researcher in a collaborative project between Qata...

Teaching experience

Guest Lecturer for Bio-NLP class for M.S., PhD students Emory university Oct 2020
Guest Lecturer For machine learning for the healthcare University of California, San Diego, March 2019

Research

Title	Publish	Link
Overview of the sixth social media mining for health applications (# smm4h) shared tasks at naacl 2021	2021-05-01
Self-reported COVID-19 symptoms on Twitter: An analysis and a research resource	2020-12-31
A survey of machine and deep learning methods for internet of things (IoT) security	2020-04-20
Multi-sensor fusion based on multiple classifier systems for human activity identification	2019-12-01
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions	2019-10-01
Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges	2019-09-25
Design challenges of multi-UAV systems in cyber-physical applications: A comprehensive survey and future directions	2019-06-20
Predicting cyberbullying on social media in the big data era using machine learning algorithms: review of literature and open challenges	2019-05-22
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges	2018-09-01
Sentiment analysis of big data: methods, applications, and open challenges	2018-06-28
Analysis of online social network connections for identification of influential users: Survey and open research issues	2018-01-31
The rise of ransomware and emerging security challenges in the Internet of Things	2017-12-24
Email classification research trends: review and open issues	2017-05-07
Identification of influential spreaders in online social networks using interaction weighted K-core decomposition method	2017-02-15
Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection	2017-02-06
Virtual community detection through the association between prime nodes in online social networks and its application to ranking algorithms	2016-12-16
Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network	2016-10-01
Using online social networks to track a pandemic: A systematic review	2016-08-01
Identifying the influential spreaders in multilayer interactions of online social networks	2016-01-01