PROFILE / 01
About me.
I am Muhammad Arslan, a Mechanical Engineering PhD candidate at the University of Houston. My research connects robotic construction 3D printing, experimental sensing, and adaptive manufacturing.
BACKGROUND
Models informed by physical experiments.
I develop robotic manufacturing systems that measure deposited geometry and use that feedback to regulate printing or plan localized repairs. My work combines hardware integration, process modeling, experimental analysis, and control implementation.
Earlier work in fused deposition modeling and biomedical implant materials informs my interest in manufacturing processes and mechanical design. Four years of undergraduate teaching also shaped how I explain engineering concepts and mentor student projects.
Research experience & teaching →EDUCATION
Academic journey.
PhD Candidate, Mechanical Engineering
University of Houston · Houston, Texas
Robotic construction 3D printing, adaptive process control, sensing, and defect compensation.
M.Sc., Mechanical Design Engineering
University of Engineering and Technology Lahore, Pakistan
Thesis: Modeling and Analysis of the Fused Deposition Modeling Process Using the Finite Element Method.
B.Sc., Mechanical Engineering
University of Engineering and Technology Lahore, Pakistan
TECHNICAL FOUNDATIONS
From sensing to implementation.
AI & machine learning
Offline Reinforcement Learning (CQL, DQN) · Online Reinforcement Learning (PPO, A2C) · Incremental extreme learning machine (IELM) · CNNs · Ridge-regression-based residual modeling · Data-driven predictive modeling
Intelligent control & robotics
Model predictive control (MPC) · Adaptive control · URScript · ROS · RoboDK · NVIDIA Isaac Sim · UR10e · Robotic extrusion and repair planning
Materials & manufacturing
Cementitious mortar mix design · Water-to-cement ratio · Material age · Fresh density · Flow and printability · Dual-curing photopolymer composites · Rheology · UV/thermal curing · Fused deposition modeling
Sensing & physical experiments
Laser-scanner geometric feedback for adaptive control and same-layer repair · 2D laser profile measurement · RGB camera calibration · OpenCV · Deposited-bead geometry · Defect localization · Printed-specimen characterization
Programming & simulation
Python · MATLAB · Raspberry Pi · d3rlpy · MQTT · Webots · MuJoCo · Experimental and simulation-data analysis
Engineering design & analysis
ANSYS · SolidWorks · AutoCAD · EDEM · Design-Expert · Tecnomatix Plant Simulation · Primavera P6
TRAINING
Certifications.
- Ultrasonic Testing Level II in accordance with SNT-TC-1A recommended practice.
- Primavera P6 training in project planning, scheduling, monitoring, and control.