Md Motiur Rahman Sagar

•Analysis of performance, difficulties and potential improvements of deep learning network architecture on localization of fractured vs normal vertebrae in spine CT scan data. •Perform in-depth data analysis on different spine data with their annotation.

• Conducted extensive data analysis with different Python modules and implemented deep learning technique '3D ConvNet' for detecting shape features in 3D MRI data of Alzheimer’s disease. • Investigated the explainability using various visualization methods that deriving the performance of the network to classify between healthy and Alzheimer’s disease patients. • Presented the visualization results to research group of MMIS at Universität Rostock.

Outline: Improved load simulation post-processing runtime by reducing unnecessary dependencies and with better search methods implementation. Key Responsibilities • Analyze sensor data and programming of Delphi/Pascal, MatLab software tools for load simulation, pre-/post-processing, reporting and certification. • Bash/Shell scripting for software integration and automation of pre-/post-processing. • Bug fixing, performance acceleration and version control of developed tools with proper documentation.

• Designed a virtual non-linear resonator on Arduino platform that replicated the physical configuration to conduct experiments on frequency tuning algorithms. • Programmed a frequency tuning algorithm to track the resonance frequency of the resonator.

Outline: Provided summarized incident tracing reports, followed up resolutions progress/accomplishment and supported any IT related work to keep the infrastructure in smooth operation. Key Responsibilities • Participate in IP network establishment with first level user support for various application and network configuration. • Manage the IT needs of throughout the client’s organizations with ensuring system securities.

Artificial Intelligence, Bio-System Modeling and Simulation, Computational Intelligence in Automation, Image/Video Processing and Encoding, Distributed Embedded Systems.

Microprocessor, Interfacing and System Design, Biomedical Instrumentation, Signals and Linear Systems, Digital Signal Processing, Numerical Methods for Engineering, Math- (Calculus, Differential Equations, Vector analysis, Linear Algebra, Laplace Transform, Fourier analysis, Statistics, etc.)