Special Session in Theoretical Computer Science in Big Data Era
Sanpawat Kantabutra, Ph.D. (Theoretical Computer Science), Tufts University, USA
Theoretical computer science is a subset of general computer science and mathematics that focuses on more mathematical topics of computing and includes theory of computation. It covers a wide variety of topics, including algorithms, data structures, computational complexity, parallel and distributed computation, probabilistic computation, quantum computation, automata theory, information theory, cryptography, program semantics, verification, machine learning, computational biology, computational economics, computational geometry, and computational number theory and algebra. Work in theoretical computer science usually involves mathematical proofs and techniques. This mathematical rigor differentiates theoretical computer science from experimental computer science, where experiments are performed to support some claims.
Original papers in the above areas are invited. Our special interest this year is in theoretical computer science with the theme in big data but original papers with all aspects of theoretical computer science are welcome.
Special Session in Internet of Things for Smart Living
Oran Cheiochan, Ph.D. (Information System), Charles Sturt University, Australia
Internet of Things (IoT) fundamentals and Applications Sensor Networks, Remote Diagnosis and Development Machine to Machine Communications, LORA, Bluetooth Mesh Smart devices, Sensors, NFC, RFID Localization technologies Mobile technologies for IoT and Services Computing
Intelligent Systems for IoT, Artificial Intelligence for IoT Security, Privacy and Trust IoT-Performance Evaluation and Modeling IoT-Energy Efficiency IoT-Technological focus for Smart Environments, Example and Case Studies IoT for Industry, Education, Smart Cities, e-Health, Agriculture, logistic, hospitality, etc Social Implications for IoT