Hybrid Intelligent Systems and Applications Machine Learning
Biography
### Biography – Nayeema Sultana
Nayeema Sultana is a computer science academic and researcher at the Department of Computer Science and Engineering, University of Asia Pacific, Dhaka, Bangladesh. She received her B.Sc. (Honours) and M.Sc. degrees in Computer Science and Engineering from the University of Dhaka, Bangladesh. With over eight years of experience in tertiary-level education, she has been actively involved in undergraduate teaching, project supervision, academic development, and research.
Her research interests include machine learning, deep learning, computer vision, medical image processing, natural language processing, federated learning, and explainable artificial intelligence (XAI). Her recent research focuses on developing intelligent and privacy-preserving machine learning approaches for human activity recognition, as demonstrated in her conference publications on federated random forests and Bayesian and genetic optimization of CNN-LSTM models. She is also interested in applying artificial intelligence to healthcare, particularly brain MRI analysis, brain metastasis characterization, tumor segmentation, and radiomics-based predictive modeling.
Her broader research goal is to develop efficient, interpretable, and reliable AI-driven solutions to address real-world challenges, particularly in healthcare and intelligent computing.
