Atiquzzaman Bhuiyan
A Mechanical Engineering student at NYU passionate about aerospace systems, robotics, and deep learning. Have worked across embedded hardware, autonomous flight, and AI research — building everything from eVTOL platforms to neural networks that analyze lunar materials. Driven by the challenge of designing intelligent systems that push the boundaries of what’s physically possible.
Lunar Segmentation
Amber Lab
Working under the supervision of Prof Kemal Celik from 2024 Summer
-Implemented Fully Convolutional Network (FCN) and Convolutional Neural Network (CNN) for segmenting different regions of lunar simulants with 500k microCT images and achieved 93 percent accuracy
-Built a Deep Learning model for 3D reconstruction of lunar simulants microCT images to visualize cracks and pore growth and analyze the changes with temperature and loading
Water Research Lab
Engineered electrospun PTFE membranes and leveraged deep learning to characterize microscopic structural properties from SEM images and XRD data, uncovering insights into pore morphology and crystalline behavior to optimize performance across nanofiltration (NF) and reverse osmosis (RO) applications — contributing to next-generation hybrid membrane systems under the supervision of Prof. Nidal Hilal.
Research Publication
Published peer-reviewed research in Powder Technology journal, contributing to advancements in material processing techniques.
Presented Sewing Robot: The Story of Unemployment in Bangladesh in ICGSS 2025, Berlin
Industry Experience
/Internship
/NMI Skyspace Engineering- Intern 2025
/Frankfurt, Germany
-Experimented different prototype of NMI’s medical eVTOL to enhance payload efficiency in European Wind Turbine Facility at Cologne
-Created 3D model of the airfoil and simulated in Ansys CFD for different Reynold number, translational flow, and airdrag conditions.