Apply to become a Fulton Fellow
The School of Manufacturing Systems and Networks extends several Fulton Fellowships to new students pursuing a doctoral degree in manufacturing or systems engineering. Be considered for four years of funding through this competitive program. All applicants will be considered for the Fulton Fellows program. No separate application is needed.
Today’s manufacturing systems are not simple input-output systems of machines.
They demand genuine innovation and methods that integrate several engineering disciplines to produce human-machine teams that integrate sensing, computation, processing and networking for peak performance.
Our faculty has that expertise.
By leading the future of manufacturing now, our faculty members provide unparalleled opportunities for students to experience the creation of manufacturing systems that produce high-quality, economically competitive products and processes.
Manufacturing processes that are enhanced by data-driven systems to simulate and optimize processes, accelerate production and reduce operating costs through digital collaboration tools across various high-tech industries.
3D printing processes that enable parts to be produced more efficiently and at much faster rates to advance the entire manufacturing ecosystem across the product lifecycle.
Robotics and automation
To keep up with today’s high-tech demands, advanced factories are using robotic platforms and autonomous systems that are capable of carrying out a set of complex tasks at high speeds and in dangerous environments.
Faculty expertise by category
Binil Starly – digital manufacturing, digital factories, Industry 4.0, digital twins, AI in manufacturing
Shenghan Guo – industrial informatics, statistical quality control, interpretable machine learning, big data analytics
Hyunwoong Ko – AI in manufacturing and design, physics-informed machine learning, digitization of factories, cyber-physical systems
Andi Wang – system informatics, data mining and machine learning, process monitoring and diagnostics, multi-modal data infusion, analytics for smart manufacturing systems
Kenan Song – polymers, nanoparticles, composites, textiles, smart coatings, 3D printing, surface patterning technologies, nanoparticle assembly, bioplotting, plastics recycling, hybrid manufacturing
Keng Hsu – polymer additive manufacturing, metal additive manufacturing, solid state welding
Dhruv Bhate – bio-inspired design, architected cellular materials, metal additive manufacturing
Bruno Azeredo – semiconductor manufacturing, metal additive manufacturing, nanomanufacturing
Xiangfan Chen – 3C printing, metamaterials, composites, wearable electronics, photonics, bioprinting
Daniel Aukes – robotics, design, dynamics, kinematics, mechanism design, manufacturing planning, laminate fabrication techniques, rapid prototyping design for affordability, design for manufacturability
Sangram Redkar – robotics, dynamics and control
Thomas Sugar – human-robot integration, exoskeletons, robotics
Wenlong Zhang – human-robot collaboration, dynamics systems modeling and control, wearable robotics, soft robots, aerial robots
Jerry Gintz – industrial automation, robotics in manufacturing
Troy McDaniel – haptic interfaces, haptic intelligence, sensory augmentation, smart multimedia
Ehsan Dehghan-Niri – acoustic imaging, non-destructive testing, robotic inspection, in-situ quality control
Kevin Nichols – robotics, dynamics and control
Research Centers and facilities
Students and faculty in the School of Manufacturing Systems and Networks have access to the latest manufacturing technologies for working on projects and conducting research.
MSN is located on ASU’s Polytechnic campus, which is home to both MSN and The Polytechnic School, and offers $2M in shared equipment and $5M in faculty lab resources.
Learn about our centers and see our specialized facilities and equipment.
3 manufacturing engineering degrees
The School of Manufacturing and Systems Networks at ASU is the first school in the United States to offer three degrees in manufacturing engineering — a bachelor’s degree, master’s degree, and a newly launched doctoral degree.
Systems engineering, PhD
The systems engineering doctoral degree program advances students’ understanding of complex engineering systems. Students will learn how to manage systems that encompass technological, social, cultural and environmental components that impact the input, output and interactions within a system.
MSN in the news
The School of Manufacturing Systems and Networks is making headlines with its contributions to Industry 4.0 education, research and workforce development.