MAHMUDUL HUQ

Currently developing advanced neural networks for emotional face recognition and enhancing alaryngeal speech using GANs. Focused on AI-based optimization in microbiome classification and asset management systems for medium-sized companies.

Implemented process mining methods and developed a data warehouse. Conducted extensive programming in Python and R, and utilized Microsoft Power BI and Google Analytics for data visualization and predictive analytics.

Elicited customer requirements and converted them into KPIs. Programmed in R and Python to create prototypes for predictive analytics and time series analysis, managing multiple client deadlines.

Developed proprietary cost estimation models and conducted estimations for software projects. Utilized Python and R for proof-of-concept programs demonstrating model effectiveness.

Conducted safety analysis of cyber-physical systems using fault tree methodologies. Evaluated performance of safety analysis techniques.

Developed architecture for context-aware systems in healthcare, creating a prototype application as proof of concept.

Conducted performance analysis of mobile devices focusing on video streaming and telephony applications in 3G and 4G networks.

Evaluated SCTP protocol for wireless communication, demonstrating its superior performance over TCP in multi-hop scenarios.

Completed a Master of Science with Honours in Computational Science and Computational Engineering, focusing on advanced computational methods and their applications.

Earned a Bachelor of Science with Honours in Computing and Information Systems, covering essential topics in software development and information technology.