Biju Issac

Teesside University, Northumbria University

Papers

Total Citations

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About

Biju Issac is a distinguished researcher whose work lies at the intersection of artificial intelligence, pattern recognition, and human-computer interaction. His key research areas include facial expression recognition, adaptive AI systems, and soft computing methodologies. Issac’s major contribution is the development of an innovative Extended Local Binary Pattern (LBP) based facial expression recognition system, which enables adaptive AI agent behavior. This work, published in 2018 and cited 6 times, demonstrates practical applications in healthcare, surveillance, and human-robot interaction by allowing machines to interpret and respond to human emotions in real time. Additionally, Issac co-edited the proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), a notable achievement that underscores his leadership in the field. With a growing citation impact, his research bridges theoretical advances in pattern recognition with real-world AI systems, making him a valuable contributor to the development of emotionally intelligent machines.