S.M. Sayeed Anowar
BSc. in Industrial & Production Engineering
BSc. in Industrial & Production Engineering
I collaborated with some faculty members on several projects aimed at boosting the effectiveness of the light engineering industry. In addition, I have co-authored a chapter for the Springer Nature Handbook of Smart Energy Systems on uncertainty quantification in a surrogate model with a focus on the nuclear industry. My subsequent research works include Estimating the Levelized Cost of Electricity of the First Nuclear Power Plant in Bangladesh; design optimization, design analysis, injection moulding process optimization, deep learning, neural networks, materials science engineering, etc.
Research Interests
Thermofluid Engineering
Refrigeration and Air Conditioning
Structure Analysis
Machine Learning-based Optimization
Deep Learning
Research Interests
Advance Machining (CNC)
CAD/CAM
Manufacturing Engineering
Design Optimization
Research Interests
Supply Chain Management (SCM)
Markov Chain & Machine Learning
Operation Research
Technical Proficiencies
Programming Languages : C (intermediate), Python (beginner), MATLAB (intermediate)
Programming Skills : Machine Learning (ANN), Deep Learning in MATLAB
Engineering Design : ANSYS Fluent, AutoCAD, SolidWorks, Master CAM
Simulation : OpenMC Monte Carlo Simulation
Data Visualization & Analysis Tools : Python, MATLAB, Excel
Languages : English (Proficient), Bengali (Native), Hindi(Beginner)