Md. Ebrahim Hossain

Md. Ebrahim Hossain

Assistant Professor
Coordinator, M. Sc. in CSE, Co-advisor, Leading University Computer Club (LUCC)
Computer Science & Engineering

Contact Information

Cell Phone: 01733688612

Area of Study

Educational Background:

M.Sc. in Information Technology, Jahangirnagar University, Savar, Dhaka.

B.Sc. in Information Technology, Jahangirnagar University, Savar, Dhaka.

Research Interest:

Big data, Neural Network, Network Security, Database security, Image Processing.

Conducted Courses:

Computer Network

Data Communication

Digital Signal Processing

Computer Security and Cryptography

Distributed System

System Analysis and Design

Computer Graphics and Image processing

Operating System Lab

C programming Lab

Computer Graphics Lab

Computer Network Lab




Detection of Hepatomegaly by Automated-Diagnosis Method based on Artificial Neural Network

ABSTRACT Diagnosis sonography (ultrasonography) is an ultrasound-based diagnostic imaging technique which is used for visualizing internal body structures including tendons, muscles, joints, vessels and internal organs for possible pathology. In Bangladesh, there is no formal training for the sonographer, that’s why sometimes there is a great possibility to make mistakes to find out the exact […]


Performance Evaluation of Free Space Optical Wireless Communication (Published in International Journal of Computer Applications, 0975-8887, Volume 178, pages 40-44)

ABSTRACT: Radio on free space optics has become a momentum in research because of its cost effectiveness and efficiency in transferring data at a high rate that is comparable to that for optical fiber media. The transmission data rate is limited in fiber due to dispersion and nonlinearity, such effects do not prevail in FSO […]


Neuro-Fuzzy(NF)-based Adaptive Flood warning System for Bangladesh. Published in: Informatics, Electronics & Vision (ICIEV), 2014 International Conference on 10 July, 2014. Publisher: IEEE

Available on: Abstract—We have proposed neuro-fuzzy (NF) based flood warning system in this paper. The input data have been collected using wireless sensor network (WSN). The proposed model has collected input parameters, such as rainfall, river water level and river water flow, from a specific site and send the data to decentralized node. Based […]