Hello, I am
Md. Abdur Rahaman
Showcasing Innovation, Excellence, and Expertise in Technology and Social Impact
- md.abdur.rahaman@g.bracu.ac.bd
- +8801903747505


Hello, I am
Md. Abdur Rahaman
Showcasing Innovation, Excellence, and Expertise in Technology and Social Impact
- md.abdur.rahaman@g.bracu.ac.bd
- +8801903747505
- md.abdur.rahaman@g.bracu.ac.bd
- +8801903747505
About me
Welcome to my portfolio! I'm Md Abdur Rahaman, a dedicated Project Associate with a Bachelor’s degree in Computer Science and Engineering (CSE) and a keen interest in advancing my knowledge through higher studies and research. My expertise spans various fields, including robotics, machine learning, artificial intelligence, web development, and data analysis. I thrive in dynamic environments, whether working independently or as part of a team. Known for my friendly demeanor, helpful nature, and a good sense of humor, I bring positivity to any setting.
My true passion lies in the fascinating realms of AI and robotics. I've undertaken numerous innovative projects, including an Earthquake Safety System for the Google Science Fair, an AI Earthquake Prediction Model for my thesis, a winning Line Following Robot in an inter-university competition, a Harmful Gas Detection IoT Project, Cosmosic - Planetary Simulation on Mars for the NASA Space Apps Challenge, a War Bot, and many more. Additionally, I have attended various science olympiads, further fueling my curiosity and love for science and technology.
Join me on this exciting journey as I explore the future of technology!
Education

Experience

Research and Projects
Research Experiences
Undergraduate Thesis
Supervisor : Moin Mostakim
Thesis Title : Predictive model of earthquake occurrence : A hybrid approach.
- Developed a hybrid machine learning model combining KNN, SVM, XGBoost and AdaBoost for accurate earthquake prediction.
- Analyzed large seismic datasets using advanced data preprocessing and feature engineering techniques.
Research Collaboration-1
Supervisor : Asst. Prof. Md Mezbah Uddin
Research Topic : Topology optimization of marine structure using FEA for cost-effective production.
- Developed a Ship Structure FEA model subjected to hydrostatic and hydrodynamic loading.
- Von-mises stress distribution and weight reduction following topology optimization method.
- 3D printing of the optimized structure.
Research Collaboration-2
Supervisor : Hasan Ruham Rabbi
Research Topic : Feasibility and Performance Evaluation of Horizontal Axis Wind Turbines on Urban Rooftops: A Case Study Approach.
- Assessed Wind Resource, Energy Estimation, Case Study Implementation, Recommendations for Urban Design.
Research Collaboration-3
Supervisor : Dr. M Muzibur Rahman
Research Topic : Investigation of Electro-mechanical and Corrosion Behavior of Leaded Copper in Sea Water.
- Metal alloy formation, Chemical Composition Test, Universal Tensile test, Micro-hardness test, Corrosion test, Electrical conductivity test, Micro-structure obs. etc.
Projects

Search & Rescue Autonomous Underwater Vehicle (AUV)
This project involved developing an autonomous underwater vehicle (AUV) tailored for search and rescue operations, featuring autonomous navigation, real-time tracking, and high-resolution imaging capabilities. Interest of robotics and AI encouraged me to join the BRACU Doburi team, where I provided my expertise to significantly improve their AUV rover.

Radiation Monitoring Aerial System (UAV)
Engineered a drone capable of tracing nuclear radiation, incorporating advanced robotics and high-sensitivity radiation sensors. The drone features real-time data analysis and mapping, providing precise radiation level detection for enhanced safety and response measures. This project improved the drone's autonomous navigation and reliability in diverse environments, offering a robust solution for monitoring nuclear hazards.

Advanced Line Follower Robot
This project focused on designing a line-following robot equipped with sophisticated sensors for accurate tracking, speed optimization, and obstacle avoidance. It achieved 1st runner-up in the IUTC Line Follower Robot Competition

Earthquake Safety System (EQ Saver)
The project utilized a sensor to detect primary and secondary earthquake waves, triggering an alarm system and shutting off power lines to ensure safety. This system incorporated an accelerometer to sense vibrations, which then sent signals to a microcontroller. The microcontroller activated servo motors and alarms to shut down the main power lines and alert occupants. This project was showcased at the Google Science Fair 2016 and later modified for the 2019 NASA Space Apps Challenge. Key partners included Google, LEGO Education, National Geographic, Scientific American, and Virgin Galactic. This project later inspired my thesis on earthquake prediction using AI models.

IoT Gas Leak Detection System
This innovative IoT device was designed for real-time gas leak detection, employing high-sensitivity sensors, instant mobile alerts, and data logging for preventive maintenance. The project ranked 1st in both the ACC IT Carnival and the 1st AML ACC Business Idea Festival.
ACCOMPLISHMENTS

Google Science Fair (2016)
Earthquake Safety System For my Google Science Fair project, I designed an advanced Earthquake Safety System aimed at safeguarding lives and property during seismic events. This system utilizes sensors to detect primary earthquake waves (P-waves) and quickly issues a warning to alert individuals of the impending quake. In addition to providing an early warning, the system automatically shuts down critical infrastructure, including electricity, gas, and water lines. This proactive approach helps prevent fires, gas leaks, and water damage, ensuring a comprehensive safety response that minimizes the risk of secondary disasters during an earthquake.

NASA Space Apps Challenge (2019)
EQ Saver, Predicting earthquake by machine learning.
Our project name is EQ-Saver & its main theme is to collect ground movement data and compare it with the data provided by NASA. Using Machine learni to predicting the next big earthquake disaster and we will be able to take steps to minimize the loss.
Background:
Earthquake is a natural disaster. Earthquakes are usually caused when underground rocks suddenly breaks along a fault. This sudden release of energy causes the seismic waves that make the ground shake.During the earthquake and afterward, the plates or blocks of rock start moving, and they continue to move until they get stuck again. The spot underground where the rock breaks is called the focus of the earthquake. The place right above the focus (on top of the ground) is called the epicenter of the earthquake.
The main focus of our project is to collect the tectonic plate movement data and compare it to the existing data from NASA. We are using an accelerometer to measure the ground movement in x, y, z, axis. This will be place in different area. When any movement occurs that will be recorded and send to an online data server . The app will keep a record. Also, by using machine learning to predict earthquake on a particular area . Like after collecting 3 months of data we can observe the situation of the tectonic plate and compare it to past 5 years data from NASA. This will give a clear prediction of any earthquake near future. The prediction will be more accurate as the machine learning algorithm continues to find the best possible outcomes. This will let people to take early precaution for any upcoming disaster related to earthquake. In the future we will be developing this project to use not only for our earth but also far beyond other planets as we are already planning to build habitation on mars to ensure human safety. This project is cost effective too. "A $10 solution to save many lives".

SDG Hackathon - Code for a cause (2020)
The "WeSave" app is a comprehensive and user-friendly platform designed to protect women and children from a range of serious threats, including rape, sexual assault, kidnapping, domestic cruelty, trafficking, dowry-related crimes, and indecency. This innovative app provides essential support by enabling real-time alerts, direct emergency contacts, and access to resources tailored to victims' needs. It empowers users with immediate assistance and protection, aiming to prevent and address violence effectively. The app’s significant impact and innovative approach were recognized when it was selected as one of the top 25 projects in the Banglalink SDG | Hackathon "Code for a Cause" 2.0 in 2020, highlighting its potential to make a difference in safeguarding vulnerable individuals.

Intra University Tech Carnival (2019)
Line following robotics competition - 1st runners-up
Other Accomplishments





I also do,
Design
Web Development
Video editing
Skills
2017-2024
Fiverr
Freelance Web Designer & video editor
I have responsibly contributed to a team of to edit videos and design website and approve their designs to make sure it matches client expectations and latest design standards.