Md. Anwar Hossain
Pabna University of Science and Technology, Anglia Ruskin University
Papers
5
Total Citations
17
H-Index
2
About
Md. Anwar Hossain is a versatile researcher whose work spans deep learning, computer vision, and network security. His primary research areas include plant health monitoring, human-computer interaction, and tactical network security. Hossain’s most notable contribution is the development of a Dual-Head Convolutional Neural Network (DH-CNN) for enhanced plant health monitoring, which simultaneously classifies plant leaves and detects diseases—a critical innovation for improving agricultural productivity and food security. This work has already garnered 7 citations since its 2025 publication, signaling growing impact. In the domain of network security, Hossain has analyzed malicious insider threats in Tactical Mobile Ad-hoc NETworks (T-MANETs), evaluating the performance of the DSR routing protocol in high-dynamic environments used for rescue and military operations. His additional research includes activity identification from natural images using deep CNNs and hand gesture recognition methods, contributing to advancements in human-computer interaction. With a portfolio that bridges agriculture, security, and interactive systems, Hossain demonstrates a commitment to solving real-world challenges through innovative computational approaches.
Research Focus
Key Achievements
Top Papers
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- 3Activity Identification from Natural Images Using Deep CNN2 citations · 2021
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