M
Muhammad Asif Razzaq
Researcher at Kyung Hee University
Publications - 27
Citations - 750
Muhammad Asif Razzaq is an academic researcher from Kyung Hee University. The author has contributed to research in topics: Context (language use) & Activity recognition. The author has an hindex of 8, co-authored 25 publications receiving 657 citations. Previous affiliations of Muhammad Asif Razzaq include University of the Sciences & National University of Science and Technology.
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Journal ArticleDOI
Human Behavior Analysis by Means of Multimodal Context Mining.
Oresti Banos,Claudia Villalonga,Jaehun Bang,Taeho Hur,Donguk Kang,Sangbeom Park,Thien Huynh-The,Vui Le-Ba,Muhammad Bilal Amin,Muhammad Asif Razzaq,Wahajat Ali Khan,Choong Seon Hong,Sungyoung Lee +12 more
TL;DR: This work presents an innovative multimodal context mining framework to inspect and infer human behaviour in a more holistic fashion and extends beyond the state-of-the-art, since it not only explores a sole type of context, but also combines diverse levels of context in an integral manner.
Journal ArticleDOI
iCBLS: An interactive case-based learning system for medical education.
Maqbool Ali,Maqbool Ali,Soyeon Caren Han,Hafiz Syed Muhammad Bilal,Sungyoung Lee,Matthew Jee Yun Kang,Byeong Ho Kang,Muhammad Asif Razzaq,Muhammad Bilal Amin +8 more
TL;DR: An interactive CBL System, called iCBLS, is proposed, which supports the development of collaborative clinical reasoning skills for medical students in an online environment and shows a high success rate for students' interaction, group learning, and improved clinical skills.
Journal ArticleDOI
IoTFLiP: IoT-based flipped learning platform for medical education
Maqbool Ali,Maqbool Ali,Hafiz Syed Muhammad Bilal,Muhammad Asif Razzaq,Jawad Khan,Sungyoung Lee,Muhammad Idris,Mohammad Aazam,Taebong Choi,Soyeon Caren Han,Byeong Ho Kang +10 more
TL;DR: An IoT-based Flip Learning Platform, called IoTFLiP, where an IoT infrastructure is exploited to support flipped case-based learning in a cloud environment with state of the art security and privacy measures for personalized medical data is proposed.
Proceedings ArticleDOI
Prediction and analysis of Pakistan election 2013 based on sentiment analysis
TL;DR: Results depicts that social media content can be used as an effective indicator for capturing political behaviors of different parties and positive, negative and neutral behavior of the party followers as well as party's campaign impact can be predicted from the analysis.
Journal ArticleDOI
Ontology-Based High-Level Context Inference for Human Behavior Identification
Claudia Villalonga,Claudia Villalonga,Muhammad Asif Razzaq,Wajahat Ali Khan,Héctor Pomares,Ignacio Rojas,Sungyoung Lee,Oresti Banos,Oresti Banos +8 more
TL;DR: An ontology-based method that combines low-level primitives of behavior, namely activity, locations and emotions, unprecedented to date, to intelligently derive more meaningful high-level context information, as well as their relationships is presented.