Mehedi Hasan Shuvo's picture
Real name: 
First Name: 
Mehedi Hasan
Last Name: 
Shuvo
Affiliation: 
Dhaka University of Engineering and Technology, Gazipur
Short Bio: 
I recently graduated from a reputed university in Bangladesh with a Bachelor of Science in Computer Science and Engineering major. In addition, I have over three years of industrial experience in software development and two years of academic research. My educational and professional journey has equipped me with expertise in advanced technologies such as trustworthy artificial intelligence, federated learning, machine learning, and computer vision. I have also worked extensively with edge computing, deep learning, and artificial intelligence, contributing to research and real-world applications. I have successfully developed more than 35 professional Android and iOS applications in software development while independently managing more than 10 cutting-edge projects, and I have made software architecture. This hands-on experience allows me to translate theoretical knowledge into practical, innovative solutions across various domains. My research interests lie in the emerging fields of cutting-edge technologies. I am committed to staying current with the latest trends, ensuring my work reflects the most up-to-date insights in the industry. In my technical and research skills, I am passionate about creating content that bridges the gap between complex engineering concepts in academia as well as industry and can develop meaningful real-world impact. I am eager to explore new opportunities in research and development, applying my skills to forward-thinking research that drives technological innovation and solves real-world problems.

Datasets & Competitions

The "Aggressive Driving Behavior IoT Data" dataset captures real-time driving behaviour through a network of Internet of Things (IoT) devices, specifically designed to monitor and analyze aggressive driving patterns. This dataset contains comprehensive recordings from various sensors embedded in vehicles, including GPS, accelerometer, gyroscope, and onboard diagnostics (OBD) systems. The data points collected provide detailed insights into vehicle speed, acceleration, braking, steering patterns, and environmental conditions over time.

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1557 Views

Bangladesh's aquaculture industry provides employment and food security. However, water quality management, disease control, and environmental monitoring continue to hinder aquaculture productivity and sustainability. This research uses IoT devices to create a comprehensive aqua fisheries dataset to solve these issues.The project uses IoT sensors and data collection methods to monitor water temperature, pH, dissolved oxygen, and turbidity in Bangladeshi aquaculture ponds.

Categories:
460 Views

This dataset abstract presents findings from a comprehensive survey conducted to investigate the impact of social media on high school students in Bangladesh. With the pervasive influence of social media platforms in contemporary society, particularly among the younger demographic, understanding its effects on adolescent behavior, mental health, academic performance, and social interactions is of paramount importance.

Categories:
502 Views