Socially interactive CDSS for u-life care. - Iram Fatima; Muhammad Fahim; Donghai Guan; Young-Koo Lee; Sungyoung Lee 001 (ICUIMC, 2011)

Classifier ensemble optimization for human activity recognition in smart homes. - Iram Fatima; Muhammad Fahim; Young-Koo Lee; Sungyoung Lee 001 (ICUIMC, 2013)

A Sleep Monitoring Application for u-lifecare Using Accelerometer Sensor of Smartphone. - Muhammad Fahim; Ba-Vui Le; Iram Fatima; Sungyoung Lee 001; Yongik Yoon 001 (UCAmI, 2013)

EEM: evolutionary ensembles model for activity recognition in Smart Homes. - Muhammad Fahim; Iram Fatima; Sungyoung Lee 001; Young-Koo Lee (Appl. Intell., 2013)

EFM: evolutionary fuzzy model for dynamic activities recognition using a smartphone accelerometer. - Muhammad Fahim; Iram Fatima; Sungyoung Lee 001; Young-Tack Park (Appl. Intell., 2013)

A Genetic Algorithm-based Classifier Ensemble Optimization for Activity Recognition in Smart Homes. - Iram Fatima; Muhammad Fahim; Young-Koo Lee; Sungyoung Lee 001 (KSII Trans. Internet Inf. Syst., 2013)

A Unified Framework for Activity Recognition-Based Behavior Analysis and Action Prediction in Smart Homes. - Iram Fatima; Muhammad Fahim; Young-Koo Lee; Sungyoung Lee 001 (Sensors, 2013)

MODM: multi-objective diffusion model for dynamic social networks using evolutionary algorithm. - Iram Fatima; Muhammad Fahim; Young-Koo Lee; Sungyoung Lee 001 (J. Supercomput., 2013)

Analysis and effects of smart home dataset characteristics for daily life activity recognition. - Iram Fatima; Muhammad Fahim; Young-Koo Lee; Sungyoung Lee 001 (J. Supercomput., 2013)

SUPAR: Smartphone as a ubiquitous physical activity recognizer for u-healthcare services. - Muhammad Fahim; Sungyoung Lee 001; Yongik Yoon 001 (EMBC, 2014)

PAM-Based Behavior Modelling. - Thien Huynh-The; Ba-Vui Le; Muhammad Fahim; Sungyoung Lee 001; Yongik Yoon 001; Byeong Ho Kang 001 (IWAAL, 2014)

ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives. - Muhammad Fahim; Muhammad Idris; Rahman Ali; Christopher Nugent; Byeong Ho Kang 001; Eui-Nam Huh; Sungyoung Lee 001 (Sensors, 2014)

An Innovative Platform for Person-Centric Health and Wellness Support. - Oresti Banos; Muhammad Bilal Amin; Wajahat Ali Khan; Muhammad Afzal 001; Mahmood Ahmad; Maqbool Ali; Taqdir Ali; Rahman Ali; Hafiz Syed Muhammad Bilal; Manhyung Han; Jamil Hussain; Maqbool Hussain; et al. (IWBBIO (2), 2015)

Smart CDSS: integration of Social Media and Interaction Engine (SMIE) in healthcare for chronic disease patients. - Iram Fatima; Sajal Halder; Muhammad Aamir Saleem; Rabia Batool; Muhammad Fahim; Young-Koo Lee; Sungyoung Lee 001 (Multim. Tools Appl., 2015)

mHealth: Blood donation application using android smartphone. - Muhammad Fahim; Halil Ibrahim Cebe; Jawad Rasheed; Farzad Kiani (DICTAP, 2016)

Micro-context recognition of sedentary behaviour using smartphone. - Muhammad Fahim; Asad Masood Khattak; Thar Baker; Francis Chow; Babar Shah (DICTAP, 2016)

Physical activity recognizer based on multimodal sensors in smartphone for ubiquitous-lifecare services. - Muhammad Fahim; Asad Masood Khattak; Saiqa Aleem; Haseena Al Katheeri (AFRICON, 2017)

Alert me: Enhancing active lifestyle via observing sedentary behavior using mobile sensing systems. - Muhammad Fahim; Thar Baker; Asad Masood Khattak; Omar Alfandi (Healthcom, 2017)

An Anomaly Detection Model for Enhancing Energy Management in Smart Buildings. - Muhammad Fahim; Alberto Sillitti (SmartGridComm, 2018)

Context Mining of Sedentary Behaviour for Promoting Self-Awareness Using a Smartphone. - Muhammad Fahim; Thar Baker; Asad Masood Khattak; Babar Shah; Saiqa Aleem; Francis Chow (Sensors, 2018)

A Lightweight Deep Autoencoder-Based Approach for Unsupervised Anomaly Detection. - Gcinizwe Dlamini; Rufina Galieva; Muhammad Fahim (AICCSA, 2019)

Synthesizing Data Using Variational Autoencoders for Handling Class Imbalanced Deep Learning. - Taimoor Shakeel Sheikh; Adil Khan 001; Muhammad Fahim; Muhammad Ahmad (AIST (Supplement), 2019)

Noise Reduction in Network Embedding. - Cong Li; Donghai Guan; Zhiyuan Cui; Weiwei Yuan; Asad Masood Khattak; Muhammad Fahim (MLICOM, 2019)

Improving Complex Network Controllability via Link Prediction. - Ran Wei; Weiwei Yuan; Donghai Guan; Asad Masood Khattak; Muhammad Fahim (MLICOM, 2019)

Anomaly Detection, Analysis and Prediction Techniques in IoT Environment: A Systematic Literature Review. - Muhammad Fahim; Alberto Sillitti (IEEE Access, 2019)

Remote health monitoring of elderly through wearable sensors. - Mohammed Al-Khafajiy; Thar Baker; Carl Chalmers; Muhammad Asim 001; Hoshang Kolivand; Muhammad Fahim; Atif Waraich (Multim. Tools Appl., 2019)

Emotion Recognition on large video dataset based on Convolutional Feature Extractor and Recurrent Neural Network. - Denis Rangulov; Muhammad Fahim (IPAS, 2020)

TSI: Time series to imaging based model for detecting anomalous energy consumption in smart buildings. - Muhammad Fahim; Khadija Fraz; Alberto Sillitti (Inf. Sci., 2020)

DGM: a data generative model to improve minority class presence in anomaly detection domain. - Gcinizwe Dlamini; Muhammad Fahim (Neural Comput. Appl., 2021)

A Wearable-based Preventive Model To Promote Oral Health Through Personalized Notification. - Muhammad Fahim; Vishal Sharma 001; Trung Q. Duong (EMBC, 2022)

Healthy Aging: A Proactive Model to Prevent Self-neglecting Behavior in Smart Homes. - Rhian Chambers; Muhammad Fahim (HealthCom, 2022)

Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines. - Muhammad Fahim; Vishal Sharma 001; Tuan Vu Cao; Berk Canberk; Trung Q. Duong (IEEE Access, 2022)

ApplianceNet: a neural network based framework to recognize daily life activities and behavior in smart home using smart plugs. - Muhammad Fahim; S. M. Ahsan Kazmi; Asad Masood Khattak (Neural Comput. Appl., 2022)

AI-Driven Aeronautical Ad Hoc Networks for 6G Wireless: Challenges, Opportunities, and the Road Ahead. - Tugçe Bilen; Berk Canberk; Vishal Sharma 001; Muhammad Fahim; Trung Q. Duong (Sensors, 2022)

Computing on Wheels: A Deep Reinforcement Learning-Based Approach. - S. M. Ahsan Kazmi; Tai Manh Ho; Tuong Tri Nguyen; Muhammad Fahim; Adil Khan 001; Md. Jalil Piran; Gaspard Baye (IEEE Trans. Intell. Transp. Syst., 2022)

Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking. - Elif Ak; Khayal Huseynov; Berk Canberk; Muhammad Fahim; Octavia A. Dobre; Trung Q. Duong (AICS, 2023)

Comparative Analysis of Deep Learning and Statistical Models for Air Pollutants Prediction in Urban Areas. - Fareena Naz; Conor Mccann; Muhammad Fahim; Tuan Vu Cao; Ruth F. Hunter; Nguyen Trung Viet; Long Dinh Nguyen; Trung Q. Duong (IEEE Access, 2023)

Unsteady blood flow of Carreau fluid in a porous saturated medium with stenosis under the influence of acceleration and magnetic fields: A comprehensive analysis. - Muhammad Fahim; Muhammad Sajid; Nasir Ali; Muhammad Naveed (Comput. Biol. Medicine, 2023)

Digital Twin for Open RAN: Toward Intelligent and Resilient 6G Radio Access Networks. - Antonino Masaracchia; Vishal Sharma 001; Muhammad Fahim; Octavia A. Dobre; Trung Q. Duong (IEEE Commun. Mag., 2023)

RetinaLiteNet: A Lightweight Transformer based CNN for Retinal Feature Segmentation. - Mehwish Mehmood; Majed Alsharari; Shahzaib Iqbal; Ivor T. A. Spence; Muhammad Fahim (CVPR Workshops, 2024)

Quantum-based Gated Recurrent Units for Multiclass Classification to Monitor Daily Living Activities for Early Disease Detection. - Bao-Nhi Dang Tran; Muhammad Fahim; Bradley D. E. McNiven; Stephen Czarnuch; Octavia A. Dobre; Trung Q. Duong (HealthCom, 2024)

A Multimodal Approach for Quantifying Walking Pace using Chest-worn Wearable sensors. - Muhammad Fahim; Richard Gault; Baharak Ahmaderaghi; Lu Bai 006; Anna Jurek-Loughrey (ISMICT, 2024)

Two-Stage Feature Engineering to Predict Air Pollutants in Urban Areas. - Fareena Naz; Muhammad Fahim; Adnan Ahmad Cheema; Nguyen Trung Viet; Tuan Vu Cao; Ruth F. Hunter; Trung Q. Duong (IEEE Access, 2024)

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis. - Mehwish Mehmood; Shahzaib Iqbal; Tariq Mahmood Khan; Ivor T. A. Spence; Muhammad Fahim (CoRR, 2024)

Air Quality and Healthy Ageing: Predictive Modeling of Pollutants Using CNN Quantum-LSTM. - Fareena Naz; Muhammad Fahim; Adnan Ahmad Cheema; Bradley D. E. McNiven; Tuan Vu Cao; Ruth F. Hunter; Trung Q. Duong (IEEE Access, 2025)

Edge Intelligence: A Deep Distilled Model for Wearables to Enable Proactive Eldercare. - Muhammad Fahim; S. M. Ahsan Kazmi; Vishal Sharma 001; Hyundong Shin; Trung Q. Duong (IEEE Trans. Artif. Intell., 2025)