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Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions
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Abstract
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of computing with smart mobile phones that typically allows the devices to function in an intelligent manner. Popular AI techniques include machine learning and deep learning methods, natural language processing, as well as knowledge representation and expert systems, can be used to make the target mobile applications intelligent and more effective. In this paper, we present a comprehensive view on “ mobile data science and intelligent apps” in terms of concepts and AI-based modeling that can be used to design and develop intelligent mobile applications for the betterment of human life in their diverse day-to-day situation. This study also includes the concepts and insights of various AI-powered intelligent apps in several application domains, ranging from personalized recommendation to healthcare services, including COVID-19 pandemic management in recent days. Finally, we highlight several research issues and future directions relevant to our analysis in the area of mobile data science and intelligent apps. Overall, this paper aims to serve as a reference point and guidelines for the mobile application developers as well as the researchers in this domain, particularly from the technical point of view.
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received his PhD under the department of Computer Science and Software Engineering from Swinburne University of Technology, Melbourne, Australia in 2018. Before that, he completed his Master of Science in Computer Science and Engineering, and Bachelor of Science in Computer Science and Engineering from Chittagong University of Engineering and Technology, Bangladesh. His research interests include Data Science, Machine Learning and AI, IoT Analytics, Context-Aware Smart Computing, Cybersecurity Analytics and Intelligence. He has published a number of peer-reviewed journals and conferences in top venues, such as Journals (The Computer Journal - Oxford, Journal of Network and Computer Applications - Elsevier, Internet of Things - Elsevier, Journal of Big Data –Springer, Mobile Networks and Applications – Springer, Sensors - MDPI, and soon) and Conferences (IEEE DSAA, IEEE Percom, ACM Ubicomp, ACM Mobiquitous, Springer PAKDD and so on). He is also a member of ACM and IEEE.
is a Distinguish Professor of the Department of Computer Science & Engineering (CSE). He received Ph. D from the Dept. of Information and Computer Sciences, Saitama University, Japan in 2012. He servedas a TPC Chair (IEEE r10 HTC 2017, ECCE 2019), TPC Co-chair (ICISET 2018, IEEETenSymp 2020), Publication chair (IEEE WIECON-ECE 2018/2019, IEEE TenSymp 2020) and TPC members in several international conferences. Dr. Hoque was the Award Coordinator (2016-17), Conference Coordinator (2017-18) of IEEE BangladeshSection and now he is serving as Vice-chair (Technical) (2018-20) in Bangladesh section. Moreover, he is serving as Vice-chair (Activity) (2018-19), Award Coordinator (2017-18) of IEEE Computer Society Bangladesh Chapter and Educational Activity Coordinator (2017-18), IEEE RAS, Bangladesh Chapter respectively. He published more than 115 publications in several International Journals, Book Chapters and Conferences. His research interests include humanrobot/computer interaction, computer vision, and natural language processing.Dr. Hoque is a senior member of IEEE, IEEE Computer Society, IEEE Robotics and Automation Society, IEEE Women in Engineering, IEEE Signal Processing Society and Fellow of Institute of Engineers, Bangladesh.
received the M. Sc.degree in Computer Engineering from the Pusan National University, Pusan, Korea, in 2009. Then he served as a lecturer in Najran University, Najran, Saudi Arabia for more than 7 years. Currently, he is a Ph.D. student at the Swinburne University of Technology, VIC, Australia. His current research interests include mobile app repository mining, review mining, feature processing and feature recommendation.
received the M.S. degree in Information Technology from Monash University, in 2016. Currently, he is a Ph.D. candidate in Software Engineering at RMIT University. In 2012, he joined Taibah University as a teacher assistant. Healso was granted a scholarship from Taibah University to complete his M.S. and Ph.D. degrees. His research interests include activities related to requirements engineering, software development, context-awareness, and human factors.
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1650This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.