Selim Hossain

• Intelligent Computing and Decision Support Systems. • Real-time Data Acquisition System Using STM32 MCU. • Integrated IoT sensors into embedded systems. • Wireless sensor networks for remote monitoring. • Implemented IoT communication protocols (MQTT, Kafka, I2C, UART, SPI)

• Evaluate strengths and weaknesses of prior MoleNet versions through user feedback and performance assessments. • Analysis and comparison of low-energy power supply circuits • Research and choose an energy-efficient STM32 microcontroller for the system board, considering processing power and peripheral compatibility • Investigate various low-energy power supply circuits, comparing efficiency, cost, and ease of implementation

• Applied Python languages, machine learning algorithms, and advanced analytics techniques to enable the predictive modeling of large data sets. • Implemented advanced data cleansing techniques, leading to a 30% improvement in the accuracy and reliability of the data. • Designed and trained deep learning models for Acoustic and Linguistic Features for Early Detection of Cognitive Deficits. • Data visualizations with Power BI, Scipy, and Seaborn.

Creating and executing frameworks for storing configuration data in a database for the Web Application Out of the Box (OOTB) through Django Framework. • Serialization of data from the Web Server. • Creating user-friendly front-end interfaces for the Web App using Django templates, HTML, and CSS. • Integrated a MySQL database into an existing application, improving data storage and retrieval efficiency by 20%.

Internet of Things (IOT), Embedded System, Data Analysis and Visualization, Machine Learning, Wireless Network

Robotics, Circuit Analysis, Computer science, Data Structure and Algorithm