SIAML Research:
Simulation Intelligence in advanced manufacturing, e.g., bioprocessing 4.0
Low-cost sensor fabrication and 3D printing, e.g., nanoparticle ink
Innovations in operation research, e.g., resilience of biomanufacturing supply chains
Design for advanced manufacturing, e.g., design of computer experiments
Research Objectives:
Applications of physics-aware statistical models or AI/ML to high-stakes engineering problems
AI-enabled scientific computing and decision making in nonlinear complex systems analysis
Optimal Experimental Design (OED) for emulation and optimal sensor placement
Low-cost implementation of sensing & inference in digital twin modeling
Educational Objectives:
Provide undergraduate/graduate students with hands-on experience in CAD, simulation, data analytics, sensor fabrication and prototyping.
Offer an environment for student and faculty to exchange ideas in advanced manufacturing.
Ph.D. Students:Â
Abdelmalek Saadi Drissi (co-advised with Dr. Ma at MSU)
M.S. in Aerospace Engineering, Mississippi State University
B.S. in Mechanical and Aerospace Engineering, International University of Rabat