The rapid development of mobile technologies and wireless networks has enabled a broad implementation of mobile applications, which have turned into one of the main streams for next generation computing technology. The industry demands a large number of intelligent engineers who can master updated mobile techniques and app development skills. This graduate-level textbook is designed to present state-of-the-art techniques in this area, including advanced algorithms, embedded systems, development mechanisms, security issues, novel mobile app architecture, mobile cloud-computing paradigms, and relevant techniques.

Overview of Mobile Apps and Mobile Interface. Mobile Embedded System and Architecture. Introduction of Android Framework, Key Concepts, User Interface, and Multimedia Deployment. Network Management in Mobile Cloud Computing and Adaptive Resource Allocations. 2-D Graphics and Mobile Image Processing Techniques. Mobile Optimization by Dynamic Programming. Big Data and Hybrid Memory Implementations. Exploring Mobile Hardware and Software Coding Techniques. Secure Bluetooth Connection and Near Field Communication. Data Storage, data security, and advanced data protection techniques. Efficient Data Synchronization on Mobile Devices. Mobile Apps on Wearable Devices.

Meikang Qiu is an Associate Professor of Computer Science at Pace University, and an adjunct professor at Columbia University. He is an IEEE/ACM Senior Member, as well as Chair of the IEEE STC (Special Technical Community) on Smart Computing. He is an Associate Editor of a dozen of journals including IEEE Transactions on Computers and IEEE Transactions on Cloud Computing. He has published 320+ peer-reviewed journal/conference papers and won 10+ Best Paper Awards.

Wenyun Dai is pursuing his PhD at Pace University. His research interests include high performance computing, mobile data privacy, resource management optimization, cloud computing, and mobile networking. His paper about mobile app privacy has been published in IEEE Transactions on Computers.

Keke Gai is pursuing his PhD at Pace University. He has published over 60 peer-reviewed journal or conference papers, and has received three IEEE Best Paper Awards. His research interests include cloud computing, cyber security, combinatorial optimization, business process modeling, enterprise architecture, and Internet computing.