Md. Saidur Rahman
Graduate Assistant at Louisiana State University, Baton Rouge, United States. Supporting academic and research activities while developing advanced skills in teaching, research, and professional collaboration.
Experience
Graduate Assistant
Louisiana State University · Full-time Jan 2025 - Present · 1 yr 1 mo Jan 2025 to Present · 1 yr 1 month, Louisiana, United States
Senior Lecturer & Course Coordinator
European University of Bangladesh (EUB) · Full-time Sep 2018 - Jan 2025 · 6 yrs 5 mos
Acceptance Engineer
Grameenphone Ltd · Full-time Feb 2016 - Mar 2018 · 2 yrs 2 mos
Web Design Intern
Capitalize on low hanging fruit to identify a ballpark value added activity to beta test. Override the digital divide with additional clickthroughs from DevOps. Nanotechnology immersion along the information highway will close the loop on focusing solely on the bottom line.
Education
A Neuro-Wave Controlled Wheelchair Combined with Gesture and Voice Control
This paper presents the design and implementation of a neuro-wave-controlled wheelchair combined with a gesture and voice control system. These designs and implementations include the Gesture Controlled Wheelchair (GCW), Voice Controlled Wheelchair (VCW), and Brain Controlled Wheelchair (BCW). The GCW uses a pseudo glove carrying an accelerometer as input, while the VCW uses a microphone for voice input. Arduino Integrated Development Environment (IDE) is used for developing the necessary software. BCW scheme utilizes a Bluetooth-connected Brainwave sensor Module to send neuro wave data wirelessly to a laptop for processing. The data is being processed using Matlab Simulink Digital Signal Processing (DSP) toolbox to generate commands for the movement of the wheelchair. The implementation of the self-controlled automatic wheelchair provides an essential solution for paralyzed patients to control their movements independently, thereby increasing their mobility and independence. The proposed design shows promising results and provides a solid foundation for integrating more advanced artificial intelligence technologies in the field of disability assistance. The combination of neuro-wave, gesture, and voice control provides a holistic approach to disability assistance, increasing the wheelchair's usability and ease of use for physically disabled individuals. Keywords- Neuro-wave, GCW, VCW, BCW and DSP toolbox.
Design and Development of a GPS-Guided Spray Machine for Reducing Pesticide use on Agricultural Land in Bangladesh
In the present era, the use of technology is intrinsically linked to the continuous betterment of human life. The application of modern technologies in agricultural sectors is ascending due to the necessity of farmers to keep pace with the newest technological advancements. A variety of tasks need to be accomplished in agricultural lands in a short span of time including the use of pesticides. This task can be effectively done with the help of modern pieces of machinery. The spraying of pesticides in agricultural fields is very crucial in order to protect the crop from a variety of pests and diseases. The purpose of developing this GPS-Guided Spraying Machine (SM) is to spray pesticides all over the land equally and efficiently as well as solar energy is used to power the entire system. This machine reduces the overdose of pesticides by evenly spraying pesticides all over the land. Farmers can check the images of the land covered after completing the task or while spraying pesticides with the help of an android app. The proposed system architecture shows how the Global Positioning System (GPS) based SM works. The experimental results show a substantial improvement for this proposed model where this designed technology saves resources like water and chemicals as well as will protect crops from overdosing of pesticides. Keywords—Spray Machine, GPS, solar energy, coding sensor
Design and Implementation of Intelligent Refrigerator
A system for home and grocery refrigerators has been developed and proposed for an intelligent refrigerator, although it has not yet been implemented. An intelligent refrigerator system's basic architectural and electrical design as well as its software simulation, operation, and analysis as well as its hardware implementation are shown in this prototype. In order to collect data on the physical environment and properties of the system both inside (within the fridge) and outside, several sensors including weight sensors, pH sensors, contact sensors, and temperature sensors have been used in this system (compressor unit). The fridge keeps track of stock levels and freshness levels by analyzing that data. For remote control, stock and freshness information, and alerting of any hazard (overheating compressor unit, open door etc.), the proposed Intelligent Refrigerator control unit includes numerous sensors and arrays. You can utilize an LCD screen to show notifications and alarms. An optional IP camera has been installed inside the fridge for continuous monitoring. For the benefit of users, an android app has been created (owner, store manager etc). For command and notification reasons, Bengali language voice recognition has been incorporated into the system. Additionally, an Android software has been developed that uses the mobile phone's GPS technology to locate nearby supermarket and superstores (such as Kacha Bazar, Aagora, and Swapno). Keywords: intelligent refrigerator; control system; sensor; alert; android app; user interface; GSM module; real time monitoring.
Neuro-Wave-Controlled Home Automation System for the Physically Disabled
The Brain-Computer Interface (BCI) system facilitates direct communication between the human brain and a digital computer, aiming to assist physically disabled individuals in restoring movement, communication, and environmental control. Brain states give rise to various patterns of neural interactions, resulting in different amplitudes and frequencies of brain waves. This project focuses on capturing unique electrical signals associated with different brain states using a brain wave sensor. These signals are converted into packets and transmitted via Bluetooth. The received data is then processed using MATLAB by the level analyzer unit. Finally, instructions are sent to operate electrical appliances based on blinking and concentration. Keywords: Brain wave sensor, Concentration power, Electroencephalogram (EEG), Brain wave.
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