Editorial Board Member of International Journal of Machine Intelligence and Sensory Signal Processing

IJMISSP promotes research in machine intelligence/signal processing, highlighting developments in randomised algorithms, deep learning, other learning techniques, sampling theory, transformations and data compression. Besides theory/fundamentals encountered in the main subject area, applications associated with cybersecurity, health sciences, finance and engineering are essential. Design of advanced computational intelligence systems for subtle pattern recognition/discovery, visual data understanding/retrieval, robust face recognition, streaming data processing and intelligent control/software is stressed. Submissions on technology development and real-world applications of complex machine intelligence systems are encouraged.