Case Studies in Intelligent Computing ─ Achievements and Trends

"Intelligent software can come to decisions on its own, based on the training on a data set - which makes Artificial Intelligence (AI) a primary area of research these days. AI is the study and design of a system that comprehends its environment and makes decisions that maximize its chances of success. In most cases it is an application intelligence that evolves over time and gets better with fewer errors. In others it can be an intelligence derived out of a set of options or constraints"--

Dr. Biju Issac is a senior lecturer at the School of Computing, Teesside University, United Kingdom, and has more than 15 years of academic experience with higher education in India, Malaysia, and the United Kingdom. He earned a PhD in networking and mobile communications, along with MCA (master of computer applications) and BE (electronics and communications engineering).

He is a senior Institute of Electrical and Electronics Engineers (IEEE) member, a fellow of the Higher Education Academy, an Institution of Engineering and Technology (IET) member, and a chartered engineer (CEng). He is a CISCO-Certified Network Associate (CCNA) instructor, a Sun-Certified Java instructor, and a Lotus Notes professional. His broad research interests are in computer networks, wireless networks, computer or network security, mobility management in 802.11 networks, intelligent computing, data mining, spam detection, secure online voting, e-learning, and so forth. Dr. Issac has authored more than 60 peer-reviewed research publications, including conference papers, book chapters, and journal papers. He has supervised postgraduate research students to completion. He is in the technical program committee of many international conferences and on the editorial board of some journals and has reviewed many research papers.

Dr. Nauman Israr has been a senior lecturer at the School of Computing, Teesside University, United Kingdom, for many years. He earned his PhD in wireless sensor networks at the University of Bradford, United Kingdom. He teaches computer networks–related subjects at the university. His areas of research expertise are wireless sensor networks, wireless networked control systems, fly-by-wireless systems, active aircraft, and wireless embedded systems. Dr. Israr was a research fellow at Queen’s University Belfast (Active Aircraft Project). The aim of that project was to design and develop a wireless nervous system for the next-generation Airbus aircrafts, where the wireless system will be used to reduce the turbulence on the aircraft, thus reducing the fuel burned. He has published a number of conference papers, book chapters, and journal papers.