About
MD JAHID HASAN
Hello ! I am Jahid
Currently pursuing a Ph.D., my research involves collaboration with industry on a Computer Vision-based damage detection system for vehicles. The objective is to accurately measure repair costs and determine selling prices. Simultaneously, I am actively engaged in the development of computer vision models, with a particular focus on integrating Large Language Models (LLMs). This dual commitment reflects my dedication to advancing the fields of Computer Vision and Deep Learning, combining academic research with practical applications in real-world scenarios.
Facts
In Numbers
Publications IEEE Journal & conference
On Going Projects on Embedded System Design & Deep Learning
Achievement on Robotics Contest, Project Showcaing, Poster Presentation
Languages Known and practised
Skills
Resume (Download CV)
Summary
Md Jahid Hasan
I am currently pursuing an industry-based Ph.D. in collaboration with RMIT University and Carsales (carsales.com.au), under the supervision of Professor Kok-Leong Ong and Agustinus Nalwan .
Professional Experience
PhD Candidate - Data Science and Machine Learning at carsales.com.au
Sep 2022 - Present · Melbourne, Victoria, Australia
My current role involves developing an advanced Artificial Intelligence (AI) model to enhance e-commerce capabilities. The primary focus is on building a computer vision model to detect objects from videos and images.
Technical Machine Learning internship at preneurlab
Aug 2020 - Oct 2020 · Dhaka, Bangladesh
The key focus was on building a deep learning-based Bangla chatbot, sentiment analysis, and recommendation system with web APIs (using Flask or Django).
Machine Learning and Robotics Instructor
2017 - 2020 · Dinajpur, Dhaka, Bangladesh
ML Youtube: Machine Learning Talks & Tips
Robotics Youtube: HSTU Light Followers
Research Experience
Biomedical Imaging
I developed a Deep Learning-Based Retinal OCT Image Denoising system using Generative Adversarial Networks as part of my Bachelor's thesis (Researchgate). Additionally, I developed a Deep Learning architecture for accurately classifying microscopic bacteria images and performed image segmentation for COVID-19. My research in these areas has resulted in published papers contributing to the field (Google Scholar).
Internet of Things, Embedded system and Robotics
Implemented various Embedding system as well as robotics application such as an IoT system that uses real IP and RESTful API for controlling, monitoring and accessing the home appliances remotely from anywhere in the world using Android based smartphone app or web app (Youtube).
Education
PhD in Business Information Systems
2022 - Present
Royal Melbourne Institute of Technology (RMIT) University, Australia.
B.Sc in Electrical & Electronic Engineering
2016 - 2021
Hajee Mohammad Danesh Science and Technology University (HSTU), Bangladesh
CGPA 3.57 (out of 4).
Research Publication
Some of my Research work :
GroundingCarDD: Text-Guided Multimodal Phrase Grounding for Car Damage Detection
Abstract: GroundingCarDD is a phrase grounding model that bridges the gap between visual and textual information. By accurately aligning textual descriptions of car damage with specific image regions, it offers a robust solution for precise damage assessment. This innovative approach empowers various applications, including insurance claims processing, automotive repair, and autonomous vehicle safety.
Deep learning based detection and segmentation of COVID-19 & pneumonia on chest X-ray image
Abstract: The outbreaks of COVID-19 virus have crossed the limit to our expectation and it breaks all previous records of virus outbreaks. The effect of corona virus causes a serious illness may result in death as a consequence of substantial alveolar damage and progressive respiratory failure.
Bangla Compound Character Recognition by Combining Deep Convolutional Neural Network with Bidirectional Long Short-Term Memory
Abstract: Recognition of Bangla handwritten compound characters has a significant role in Bangla language in order to develop a complete Bangla OCR. It is a challenging task owing to its
Cricket Sentiment Analysis from Bangla Text Using Recurrent Neural Network with Long Short Term Memory Model
Abstract: Nowadays, people used to express their feelings, thoughts, suggestions and opinions on different social platform and video sharing media. Many discussions are made on Twitter, Facebook and many respective forums on sports especially cricket and football. The opinion may express criticism in different manner,.
Digit Recognition in Sign Language Based on Convolutional Neural Network and Support Vector Machine
Abstract: Hearing and speech impaired individuals communicate using sign language among themselves and to the normal people. But it is challenging for non-sign language speaker to understand the sign language. Thus, sign language speaker or signer often finds difficulties in expressing their feelings.
Performance Analysis of Machine Learning Techniques for Microscopic Bacteria Image Classification
Abstract: Microscopic bacterial image classification is of great significance in medical science in order to diagnosis numerous fatal diseases caused by bacteria.
Rice Disease Identification and Classification by Integrating Support Vector Machine With Deep Convolutional Neural Network
Abstract: Over the world, rice is one of the most extensively consuming staple foods. But due to various diseases of rice, farmers can't yield rice according to their expectation..
Wireless Home Automation System Using IoT and PaaS
Abstract: Home automation based on Internet of Things (IoT) is getting huge attention of mass people in recent years. Smart home eases and secures the management of the home appliances.
Projects
Live project
Click here here for live demo.
