Profile

Biju Issac

Biju Issac

Northumbria University, Newcastle

Domain of Research: Technology Trends,Machine Vision,Intelligent Systems,Artificial Intelligence,Security,e-Learning,Agents and Multi-agent Systems,Ant colony optimization,Artificial Intelligence,Big data analytics for security,Cloud Computing,Communication Protocols,Computer Vision,Cyber Security,Data Mining,e-Learning,e-Learning Tools,Evolutionary Algorithms,Evolutionary Computing,Fuzzy Logic,Genetic Algorithms,Image Processing,Image Processing and Analysis,Intelligent Systems,Internet of Things,Internet Security,Intrusion Detection,Machine Vision,Mobile Adhoc Networks,Network Security,Networking,Neural Networks,Neuro-Fuzzy Systems,Secure Protocols,Security,Security Intelligence,Sensing and Sensor Networks,Spam Detection,Supervised and Unsupervised Learning,Swarm Intelligence,Technology Trends,Wireless Communication

Dr Biju Issac is currently a senior academic staff at Northumbria University, UK. He is the programme leader of BSc/MComp (Computer Networks and Cyber Security) and BSc/MComp (Computer and Digital Forensics) and is a member of Network Systems and Security (NetSyS) Research Group. He worked as a Computer Science academic staff at Teesside University since July 2012 where he had worked with the Machine Intelligence research group. Prior to that, he worked as a Computer Science academic staff at an Australian University (Swinburne University of Technology) in Malaysia and at Madras Christian College under Madras University in India. He started his job as a project assistant at Indian Institute of Science (IISc), Bangalore in India. He has done PhD in Networking and Mobile Communications, Master of Computer Applications (MCA) with honours and Bachelor of Engineering (BE) in Electronics and Communication Engineering with first class. He has authored many publications as conference papers, journal papers, book chapters and edited books. His research interests are in networks (wired and wireless), cybersecurity, machine learning applications of text mining, image processing etc., cloud computing optimizations and technology-enabled learning. He is one of the Associate Editors of IEEE Access and Journal of Systems and Information Technology.