I am an Assistant Professor in the Department of Electrical and Computer Engineering and Computer Science at the University of New Haven. I received my B.Sc. in Electrical and Electronic Engineering (EEE) from Bangladesh University of Engineering and Technology (BUET) and PhD in Electrical and Computer Engineering from Mississippi State University.
My research interests lie in the area of machine learning with an emphasis on data/information fusion, deep learning, computer vision, and image processing. To date, my contributions include:
Deep learning: Neuronal representation of aggregation operators and decision level fusion of deep neural network (DNN) architectures for object detection and land-cover classification;
Aggregation: New mathematical and algorithmic extensions of the fuzzy integral for uncertain (e.g., missing) data, computationally efficient approximations of aggregation operators, data-driven compression of fusion and its learning for homogeneous and heterogeneous data, efficient evolutionary algorithm for the fuzzy integral;
Computer vision: Deep morphological hit-or-miss transform neural network, semantic segmentation for off-road trail detection in autonomous driving, and object recognition;
Hyperspectral image processing: Dimensionality reduction using visual clustering, contiguous band grouping, and feature level fusion for classification task in remote sensing.