Biomedical AI Natural Language Processing Healthcare AI

Dr. Farman Ali is an Associate Professor in the Department of Applied AI at Sungkyunkwan University, South Korea. He received his B.S. degree in Computer Science from the University of Peshawar, Pakistan, in 2011, an M.S. degree in Computer Science from Gyeongsang National University, South Korea, in 2015, and a Ph.D. degree in Information and Communication Engineering from Inha University, South Korea, in 2018. Following his Ph.D., he worked as a Post-Doctoral Fellow at the UWB Wireless Communications Research Center from September 2018 to August 2019. His current research interests include IoT, healthcare monitoring systems, sentiment analysis, social network analysis, medical informatics, machine learning and AI, recommendation systems, data science, and applied fuzzy logic. He has registered over four patents and published more than 150 research articles in peer-reviewed international journals and conferences. He has been recognized with several awards, including the Outstanding Research Award (Excellence in Journal Publications, 2017) and the President’s Choice for the Best Researcher Award during his graduate program at Inha University. From 2021 to 2024, each year he was listed among the “Top 2% Scientists in the World” by Stanford University in recognition of his career achievements.

Publications (28)

2023

Author Correction: A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images
Ihsan Ullah, Farman Ali, Babar Shah, Shaker El-Sappagh, Tamer Abuhmed, Sang Hyun Park
Scientific Reports  ·  04 Sep 2023  ·  doi:10.1038/S41598-023-41661-W  ·  PMID: 37666913  ·  PMCID: PMC10477192
Effective Multitask Deep Learning for IoT Malware Detection and Identification Using Behavioral Traffic Analysis
Sajid Ali, Omar Abusabha, Farman Ali, Muhammad Imran, Tamer Abuhmed
IEEE Transactions on Network and Serv...  ·  01 Jun 2023  ·  doi:10.1109/TNSM.2022.3200741
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El-Sappagh, Jose M. Alonso-Moral, Tamer Abuhmed, Farman Ali, Alberto Bugarín-Diz
Artificial Intelligence Review  ·  12 Mar 2023  ·  doi:10.1007/s10462-023-10415-5
A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images
A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images
Ihsan Ullah, Farman Ali, Babar Shah, Shaker El-Sappagh, Tamer Abuhmed, Sang Hyun Park
Scientific Reports  ·  16 Jan 2023  ·  doi:10.1038/s41598-023-27815-w  ·  PMID: 36646735  ·  PMCID: PMC9842654

2022

Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data
Sajid Ali, Shaker El-Sappagh, Farman Ali, Muhammad Imran, Tamer Abuhmed
IEEE Journal of Biomedical and Health...  ·  01 Dec 2022  ·  doi:10.1109/JBHI.2022.3202178  ·  PMID: 36037451
Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers
Shaker El-Sappagh, Farman Ali, Tamer Abuhmed, Jaiteg Singh, Jose M. Alonso
Neurocomputing  ·  01 Nov 2022  ·  doi:10.1016/j.neucom.2022.09.009
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients
Firuz Juraev, Shaker El-Sappagh, Eldor Abdukhamidov, Farman Ali, Tamer Abuhmed
Journal of Biomedical Informatics  ·  01 Nov 2022  ·  doi:10.1016/j.jbi.2022.104216  ·  PMID: 36208833
Two-stage deep learning model for Alzheimer’s disease detection and prediction of the mild cognitive impairment time
Shaker El-Sappagh, Hager Saleh, Farman Ali, Eslam Amer, Tamer Abuhmed
Neural Computing and Applications  ·  08 May 2022  ·  doi:10.1007/s00521-022-07263-9

2021

Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning
Nora El-Rashidy, Tamer Abuhmed, Louai Alarabi, Hazem M. El-Bakry, Samir Abdelrazek, Farman Ali, Shaker El-Sappagh
Neural Computing and Applications  ·  03 Nov 2021  ·  doi:10.1007/s00521-021-06631-1
Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic
Nora El-Rashidy, Samir Abdelrazik, Tamer Abuhmed, Eslam Amer, Farman Ali, Jong-Wan Hu, Shaker El-Sappagh
Diagnostics  ·  24 Jun 2021  ·  doi:10.3390/diagnostics11071155  ·  PMID: 34202587  ·  PMCID: PMC8303306
Alzheimer’s disease progression detection model based on an early fusion of cost-effective multimodal data
Shaker El-Sappagh, Hager Saleh, Radhya Sahal, Tamer Abuhmed, S.M. Riazul Islam, Farman Ali, Eslam Amer
Future Generation Computer Systems  ·  01 Feb 2021  ·  doi:10.1016/j.future.2020.10.005
An intelligent healthcare monitoring framework using wearable sensors and social networking data
Farman Ali, Shaker El-Sappagh, S.M. Riazul Islam, Amjad Ali, Muhammad Attique, Muhammad Imran, Kyung-Sup Kwak
Future Generation Computer Systems  ·  01 Jan 2021  ·  doi:10.1016/j.future.2020.07.047
Classification and Analysis of Android Malware Images Using Feature Fusion Technique
Jaiteg Singh, Deepak Thakur, Tanya Gera, Babar Shah, Tamer Abuhmed, Farman Ali
IEEE Access  ·  01 Jan 2021  ·  doi:10.1109/ACCESS.2021.3090998

2020

A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
Farman Ali, Shaker El-Sappagh, S.M. Riazul Islam, Daehan Kwak, Amjad Ali, Muhammad Imran, Kyung-Sup Kwak
Information Fusion   Information Fusion  ·  01 Nov 2020  ·  doi:10.1016/j.inffus.2020.06.008

2019

A Comprehensive Medical Decision–Support Framework Based on a Heterogeneous Ensemble Classifier for Diabetes Prediction
Shaker El-Sappagh, Mohammed Elmogy, Farman Ali, Tamer ABUHMED, S. M. Riazul Islam, Kyung-Sup Kwak
Electronics  ·  05 Jun 2019  ·  doi:10.3390/electronics8060635
Transportation sentiment analysis using word embedding and ontology-based topic modeling
Farman Ali, Daehan Kwak, Pervez Khan, Shaker El-Sappagh, Amjad Ali, Sana Ullah, Kye Hyun Kim, Kyung-Sup Kwak
Knowledge-Based Systems  ·  01 Jun 2019  ·  doi:10.1016/j.knosys.2019.02.033
A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard
A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard
Shaker El-Sappagh, Farman Ali, Abdeltawab Hendawi, Jun-Hyeog Jang, Kyung-Sup Kwak
BMC Medical Informatics and Decision ...  ·  10 May 2019  ·  doi:10.1186/s12911-019-0806-z  ·  PMID: 31077222  ·  PMCID: PMC6511155
Fuzzy Ontology and LSTM-Based Text Mining: A Transportation Network Monitoring System for Assisting Travel
Farman Ali, Shaker El-Sappagh, Daehan Kwak
Sensors  ·  09 Jan 2019  ·  doi:10.3390/s19020234  ·  PMID: 30634527  ·  PMCID: PMC6358771
Mobile Health Technologies for Diabetes Mellitus: Current State and Future Challenges
Shaker El-Sappagh, Farman Ali, Samir El-Masri, Kyehyun Kim, Amjad Ali, Kyung-Sup Kwak
IEEE Access  ·  01 Jan 2019  ·  doi:10.1109/access.2018.2881001

2018

Feature-based Transportation Sentiment Analysis Using Fuzzy Ontology and SentiWordNet
Farman Ali, Shaker EI-Sappagh, Pervez Khan, Kyung-Sup Kwak
2018 International Conference on Info...  ·  01 Oct 2018  ·  doi:10.1109/ictc.2018.8539607
Priority-Based Cloud Computing Architecture for Multimedia-Enabled Heterogeneous Vehicular Users
Amjad Ali, Hongwu Liu, Ali Kashif Bashir, Shaker El-Sappagh, Farman Ali, Adeel Baig, Daeyoung Park, Kyung Sup Kwak
Journal of Advanced Transportation  ·  27 Sep 2018  ·  doi:10.1155/2018/6235379
SNOMED CT standard ontology based on the ontology for general medical science
SNOMED CT standard ontology based on the ontology for general medical science
Shaker El-Sappagh, Francesco Franda, Farman Ali, Kyung-Sup Kwak
BMC Medical Informatics and Decision ...  ·  31 Aug 2018  ·  doi:10.1186/s12911-018-0651-5  ·  PMID: 30170591  ·  PMCID: PMC6119323
A case-base fuzzification process: diabetes diagnosis case study
Shaker El-Sappagh, Mohammed Elmogy, Farman Ali, Kyung-Sup Kwak
Soft Computing  ·  30 May 2018  ·  doi:10.1007/s00500-018-3245-3
DMTO: a realistic ontology for standard diabetes mellitus treatment
DMTO: a realistic ontology for standard diabetes mellitus treatment
Shaker El-Sappagh, Daehan Kwak, Farman Ali, Kyung-Sup Kwak
Journal of Biomedical Semantics  ·  06 Feb 2018  ·  doi:10.1186/s13326-018-0176-y  ·  PMID: 29409535  ·  PMCID: PMC5800094
An Ontology-Based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis
Shaker El-Sappagh, Jose M. Alonso, Farman Ali, Amjad Ali, Jun-Hyeog Jang, Kyung-Sup Kwak
IEEE Access  ·  01 Jan 2018  ·  doi:10.1109/access.2018.2852004
Clinical Decision Support System for Liver Fibrosis Prediction in Hepatitis Patients: A Case Comparison of Two Soft Computing Techniques
Shaker El-Sappagh, Farman Ali, Amjad Ali, Abdeltawab Hendawi, Farid A. Badria, Doug Young Suh
IEEE Access  ·  01 Jan 2018  ·  doi:10.1109/access.2018.2868802

2017

Merged Ontology and SVM-Based Information Extraction and Recommendation System for Social Robots
Farman Ali, Daehan Kwak, Pervez Khan, Shaker Hassan A. Ei-Sappagh, S. M. Riazul Islam, Daeyoung Park, Kyung-Sup Kwak
IEEE Access  ·  01 Jan 2017  ·  doi:10.1109/access.2017.2718038
A Fuzzy Ontology and SVM–Based Web Content Classification System
Farman Ali, Pervez Khan, Kashif Riaz, Daehan Kwak, Tamer Abuhmed, Daeyoung Park, Kyung Sup Kwak
IEEE Access  ·  01 Jan 2017  ·  doi:10.1109/access.2017.2768564

All of Farman Ali's papers on the Publications page