Physical activity classification meets daily life: Review on existing methodologies and open challenges. - Muhammad Awais 003; Sabato Mellone; Lorenzo Chiari (EMBC, 2015)

Physical activity classification meeting daily life conditions. - Muhammad Awais 003 (UbiComp Adjunct, 2016)

Physical activity classification using body-worn inertial sensors in a multi-sensor setup. - Muhammad Awais 003; Luca Palmerini; Lorenzo Chiari (RTSI, 2016)

Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study. - Muhammad Awais 003; Luca Palmerini; Alan K. Bourke; Espen A. F. Ihlen; Jorunn L. Helbostad; Lorenzo Chiari (Sensors, 2016)

EEG Brain Connectivity Analysis to Detect Driver Drowsiness Using Coherence. - Muhammad Awais 003; Nasreen Badruddin; Micheal Drieberg (FIT, 2017)

Classification of SD-OCT images using a Deep learning approach. - Muhammad Awais 003; Henning Müller; Tong Boon Tang; Fabrice Mériaudeau (ICSIPA, 2017)

Transfer learning for Diabetic Macular Edema (DME) detection on Optical Coherence Tomography (OCT) images. - Genevieve C. Y. Chan; Muhammad Awais 003; Syed A. A. Shah; Tong Boon Tang; Cheng-Kai Lu; Fabrice Mériaudeau (ICSIPA, 2017)

Mammogram classification using deep learning features. - Syed Jamal Safdar Gardezi; Muhammad Awais 003; Ibrahima Faye; Fabrice Mériaudeau (ICSIPA, 2017)

Quantitative comparison of motion history image variants for video-based depression assessment. - Anastasia Pampouchidou; Matthew Pediaditis; Anna Maridaki; Muhammad Awais 003; Calliope-Marina Vazakopoulou; Stelios Sfakianakis; Manolis Tsiknakis; Panagiotis G. Simos; Kostas Marias; Fan Yang 019; Fabrice Mériaudeau (EURASIP J. Image Video Process., 2017)

A Comparative Study on Context Assessment Approaches in Mobile Robots. - Muhammad Awais 003; Samreen Nawaz; Muhammad Sheraz Arshad Malik; Fazal-e-Amin (J. Inf. Sci. Eng., 2017)

A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability. - Muhammad Awais 003; Nasreen Badruddin; Micheal Drieberg (Sensors, 2017)

A Condition Monitoring System for the Analysis of Bearing Distributed Faults. - Muhammad Irfan 008; Nordin Bin Saad; Ansar Ali; K. Vinoth Kumar; Muhammad Aman Sheikh; Muhammad Awais 003 (UEMCON, 2019)

Diagnosis and monitoring of Alzheimer's patients using classical and deep learning techniques. - Mohsin Raza; Muhammad Awais 003; W. Ellahi; Nauman Aslam; Huan Xuan Nguyen; Hoang Minh Le 001 (Expert Syst. Appl., 2019)

An Internet of Things Based Bed-Egress Alerting Paradigm Using Wearable Sensors in Elderly Care Environment. - Muhammad Awais 003; Mohsin Raza; Kamran Ali; Zulfiqar Ali; Muhammad Irfan 008; Omer Chughtai; Imran Khan 006; Sunghwan Kim 001; Masood Ur Rehman 001 (Sensors, 2019)

Physical Activity Classification for Elderly People in Free-Living Conditions. - Muhammad Awais 003; Lorenzo Chiari; Espen Alexander Fürst Ihlen; Jorunn L. Helbostad; Luca Palmerini (IEEE J. Biomed. Health Informatics, 2019)

Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection. - Khawaja Moyeezullah Ghori; Rabeeh Ayaz Abbasi; Muhammad Awais 003; Muhammad Imran 001; Ata Ullah; Laszlo Szathmary (IEEE Access, 2020)

Establishing effective communications in disaster affected areas and artificial intelligence based detection using social media platform. - Mohsin Raza; Muhammad Awais 003; Kamran Ali; Nauman Aslam; Vishnu Vardhan Paranthaman; Muhammad Imran 001; Farman Ali 001 (Future Gener. Comput. Syst., 2020)

Treating Class Imbalance in Non-Technical Loss Detection: An Exploratory Analysis of a Real Dataset. - Khawaja Moyeezullah Ghori; Muhammad Awais 003; Akmal Saeed Khattak; Muhammad Imran 001; Fazal-e-Amin; Laszlo Szathmary (IEEE Access, 2021)

Novel congestion avoidance scheme for Internet of Drones. - Shumayla Yaqoob; Ata Ullah; Muhammad Awais 003; Iyad A. Katib; Aiiad Albeshri; Rashid Mehmood; Mohsin Raza; Saif ul Islam; Joel J. P. C. Rodrigues (Comput. Commun., 2021)

LSTM-Based Emotion Detection Using Physiological Signals: IoT Framework for Healthcare and Distance Learning in COVID-19. - Muhammad Awais 003; Mohsin Raza; Nishant Singh; Kiran Bashir; Umar Manzoor; Saif ul Islam; Joel J. P. C. Rodrigues (IEEE Internet Things J., 2021)

Autonomous Transportation in Emergency Healthcare Services: Framework, Challenges, and Future Work. - Muhammad Khalid; Muhammad Awais 003; Nishant Singh; Suleman Khan 001; Mohsin Raza; Qasim Badar Malik; Muhammad Imran 001 (IEEE Internet Things Mag., 2021)

Challenges and Limitations of Internet of Things Enabled Healthcare in COVID-19. - Mohsin Raza; Nishant Singh; Muhammad Khalid; Suleman Khan 001; Muhammad Awais 003; Muhammad Usman Hadi; Muhammad Imran 001; Saif ul Islam; Joel J. P. C. Rodrigues (IEEE Internet Things Mag., 2021)

Intelligent IoT Framework for Indoor Healthcare Monitoring of Parkinson's Disease Patient. - Mohsin Raza; Muhammad Awais 003; Nishant Singh; Muhammad Imran 001; Sajjad Hussain (IEEE J. Sel. Areas Commun., 2021)

Review and Implementation of Resilient Public Safety Networks: 5G, IoT, and Emerging Technologies. - Kamran Ali; Huan Xuan Nguyen; Quoc-Tuan Vien; Purav Shah; Mohsin Raza; Vishnu Vardhan Paranthaman; Btissam Er-Rahmadi; Muhammad Awais 003; Saif ul Islam; Joel J. P. C. Rodrigues (IEEE Netw., 2021)

Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification. - Muhammad Awais 003; Lorenzo Chiari; Espen A. F. Ihlen; Jorunn L. Helbostad; Luca Palmerini (Sensors, 2021)

A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings. - Muhammad Irfan 008; Abdullah S. Alwadie; Adam Glowacz; Muhammad Awais 003; Saifur Rahman; Mohammad Kamal Asif Khan; Mohammad Jalalah; Omar AlShorman; Wahyu Caesarendra (Sensors, 2021)

False Data Injection Detection for Phasor Measurement Units. - Saleh Almasabi; Turki Alsuwian; Muhammad Awais 003; Muhammad Irfan 008; Mohammad Jalalah; Belqasem Aljafari; Farid A. Harraz (Sensors, 2022)

Machine Learning and Internet of Things Enabled Monitoring of Post-Surgery Patients: A Pilot Study. - Saeed Ali Alsareii; Mohsin Raza; Abdulrahman Manaa Alamri; Mansour Yousef AlAsmari; Muhammad Irfan 008; Umar F. Khan; Muhammad Awais 003 (Sensors, 2022)

Middleware for Resource Sharing in Fog Computing with IoT Applications. - Hezekiah Samwini; Muhammad Awais 003; Ella Pereira (EUROCON, 2023)

Deep Learning Based Anomaly Detection for Fog-Assisted IoVs Network. - Shumayla Yaqoob; Asad Hussain; Fazli Subhan; Giuseppina Pappalardo; Muhammad Awais 003 (IEEE Access, 2023)

Machine-Learning-Enabled Obesity Level Prediction Through Electronic Health Records. - Saeed Ali Alsareii; Muhammad Awais 003; Abdulrahman Manaa Alamri; Mansour Yousef AlAsmari; Muhammad Irfan 008; Mohsin Raza; Umer Manzoor (Comput. Syst. Sci. Eng., 2023)

Enhancing Access Control, Authorization, and Accountability in Cyber-Physical Systems Using Machine Learning. - Isaac Adom; Muhammad Awais 003; Mohsin Raza; Umar F. Khan; Omer Chughtai (FIT, 2024)

LLM Based Cross Modality Retrieval to Improve Recommendation Performance. - Fahad Anwaar; Adil Mehmood Khan; Muhammad Khalid; Ammad Khalil; Muhammad Awais 003 (ICAC, 2024)

NIOM-DGA: Nature-inspired optimised ML-based model for DGA detection. - Daniel Jeremiah; Husnain Rafiq; Ta Vinh Thong 001; Muhammad Usman 018; Mohsin Raza; Muhammad Awais 003 (Comput. Secur., 2025)