Hasib Md Abid Bin Farid obtained his B.Sc. and M.Sc. in Electrical and Electronic Engineering from Islamic University of Technology (IUT) that is among the best institutes of Bangladesh. He is currently working as an Assistant Professor in the Department of Electrical and Electronic Engineering at Ahsanullah University of Science and Technology. His main research focuses on Biomedical Image Processing, Robotics, Machine Learning, Biosensors and Communications.
Information about him like his education, his research, publication, awards etc. are all available in this site.
Research Background
Biomedical Image ProcessingÂ
Automated segmentation for Breast cancer US image using Projected empirical segmentation (MSc thesis).
A Fully Automated Segmentation Method Of Ultrasound Images For Cancer Diagnosis Using Modified Empirical Method With Abdullah Bin Sekander and others
A Semi-Automated Segmentation For Ultrasound Images With Asm Noor
A Comparative Study Of Different Us Image Segmentation Methods And Identification Of Skin Cancer With Istiaque Ahmed and others
Breast Cancer US Image Segmentation and Classification using Mask Region-Based Convolutional Network with Bashir Mahmud Talukder and others.
Modified Entropy-based US cancer image segmentation with Showrav Sharma Shuvo and others
Performance comparison of Different segmentation methods of Breast cancer Ultrasound Imaging,
BiosensorsÂ
- Solar cells based emerging energy harvesting technology for implantable biomedical devices: A comprehensive review and analysis with Dr. Taskin Jamal and others.
- Numerical Modeling of Cu2MnSnS4/FeSi2 Dual-Absorber Solar Cell Achieving High Efficiency with Dr. Tashfiq Bin Kashem. Arxiv link.
- Design and analysis of a magneto-resistance-based device to mitigate risks from high magnetic field exposure with Kazi Mustafizur Rahman and others.
Computer VisionÂ
Traffic sign detection and recognition based on Raspberry Pi with Md Tarequl Islam and others
A Novel Approach Towards Railway Security System for Bangladesh Using Computer Vision with Md. Fazla Rabbi and others
IoT Based Smart Surveillance Security System Using Raspberry Pi with Anindya Sanyal and other
Hardware Implementation of Facial Recognition Using OpenCV and Raspberry Pi with Md. Rakib Hasan and others
Machine learning, Deep LearningÂ
Enabling and enforcing social distancing for COVID 19 using fully convolutional neural networks with Uchchhash Sarkar and others
Recognition of Bangla Handwritten Characters using Convolutional Neural Network with Partha S dev and others
Segmentation of Skin cancer using Neural Network with Mostofa Habib and others
RoboticsA comprehensive and comparative study of maze-solving techniques by implementing graph theory with Adil Sadik and others
CommunicationÂ
Performance Analysis of different Transmission mode in LTE Supervised by Mohammed Tawhid Kawser
Performance comparison between round robin and proportional fair scheduling methods for LTE with Adil Sadik and others.
Some of the Supervised Project
