As a Lecturer and Independent Researcher at Ahsanullah Institute of Information & Communication Technology I am actively engage in academic research focusing on Statistical Machine Learning, Deep Neural Network, Q-Learning Approach, Internet of Things (IoT), and Prosthetic Robotics. My work in IoT and Embedded Systems domains has been published in few journals, and I have also contributed to projects in Machine Learning. Beyond academic research I work as a Freelance Software Developer with more than 3 years of experience in Agile Android Application and Web Application Development. I specialize in robust and scalable software architecture, particularly in MVVM and MVP for Android development and Factory-Pattern for Flask-based web applications. With a good problem-solving mindset, I thrive in collaborative environments and enjoy working with cross-functional teams. I am passionate about both academic research and industry-driven innovation, continuously exploring new technologies to bridge the gap between theoretical advancements and real-world applications.
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adaptive_q_learning_vnet_qos_rs_optimization
adaptive_q_learning_vnet_qos_rs_optimization PublicA model uses Q-learning to dynamically optimize resource allocation and incentives in complex urban traffic.
Python
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Plant-android-iot-plant-monitoring-system
Plant-android-iot-plant-monitoring-system PublicAn IoT enabled and Android based Plant moisture monitoring system using ESP8266/32, Hygrometer, DHT-11 & AHT-20
Java
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Shift-android-iot-surveillance-system
Shift-android-iot-surveillance-system PublicIoT enabled Android surveillance system with NodeMCU and PIR compatibility
Java
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cognibotics-arm
cognibotics-arm PublicLow-cost Brain–Computer Interface (BCI) for real-time control of a 6-DOF robotic arm using EEG signals from NeuroSky MindWave, with Arduino integration, Tkinter GUI for visualization, and optional …
Python 1
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EnigmaRobolox
EnigmaRobolox PublicAn android application that performs IoT (Internet of Things) automation task for NodeMCU ESP8266MOD.
Java
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