Dr Ezugwu’s research interests are mainly in optimization, machine learning, deep learning, nature and biologically inspired algorithms and artificial intelligence, with a particular interest in computational intelligence and (meta) heuristics solutions to real-world global optimization problems.
He has published more than 50 papers in reputed venues including Knowledge-based Systems, Expert System with Application, Future Generation Computer Systems, Neural Computing and Applications, and Biomedical Signal Processing and Control. He is a reviewer to several high impact factor journals such as Expert System with Application, Applied Soft Computing, IEEE Access, and Artificial intelligence in medicine. He has graduated several postgraduate students.
My research areas are in Optimization, Artificial intelligence, Machine learning, Deep learning, Real-time systems, Data mining, Nature and biologically inspired algorithms.