Computer Science and Engineering

Dr. D.M. Anisuzzaman

Research Interests

• Deep Learning
• Machine Learning
• Medical image analysis
• Natural language processing

Educational Background

• Ph.D, (Computer Science), University of Wisconsin - Milwaukee
• Master of Science (MSc), (Computer Science), American International University-Bangladesh
• Bachelor of Science (BSc), (Computer Science and Engineering), Ahsanullah University of Science and Technology

Honors and Achievements

• Distinguished Graduate Student Fellowship (DGSF), University of Wisconsin-Milwaukee, 2021
• Vice Chancellor Award, American International University - Bangladesh, 2020
• Suma Cum Laude, American International University - Bangladesh, 2020
• Deans Honor, Ahsanullah University of Science and Technology, 2013

Publications

• Multi-modal wound classification using wound image and location by deep neural network, Scientific Reports, 2022
• A Mobile App for Wound Localization Using Deep Learning, IEEE Access, 2022
• Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks, Journal of Biomedical Informatics, 2022
• Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review, Advances in Wound Care, 2021
• Identification and analysis of misclassified work-zone crashes using text mining techniques, Accident Analysis \& Prevention, 2021
• A deep learning study on osteosarcoma detection from histological images, Biomedical Signal Processing and Control, 2021
• Multiclass Wound Image Classification using an Ensemble Deep CNN-based Classifier, Computers in Biology and Medicine, 2021
• Fully automatic wound segmentation with deep convolutional neural networks, Scientific Reports, 2020
• Online Trial Room based on Human Body Shape Detection, International Journal of Image, Graphics and Signal Processing, 2019
• Data analysis and visualization of continental cancer situation by twitter scraping, International Journal of Modern Education and Computer Science, 2019
• Authorship attribution for Bengali language using the fusion of N-gram and Na{\"\i}ve bayes algorithms, International Journal of Information Technology and Computer Science (IJITCS), 2018
• Efficient Framework Using Morphological Modeling for Frequent Iris Movement Investigation towards Questionable Observer Detection, International Journal of Image, Graphics and Signal Processing, 2018
• High-Speed and Area-Efficient LUT-Based BCD Multiplier Design, 2018
• A Study of Activity Recognition and Questionable Observer Detection, International Journal of Computers and Applications, 2018
• Automated Credit Scoring System for Financial Services in Developing Countries, 2016