Welcome
ISC Logo
The Intelligent System Center's Logo.
South Entrance of Engineering Research Lab shot from below.
The Intelligent Systems Center is located on the third floor of the Engineering Research Lab.
ACIL TBI group members
The Applied Computational Intelligence Laboratory is one of several laboratories within the ISC.
Huang Demonstrating TBI technology to US ARMY
Dr. Jie Huang demonstrates technology that prevents traumatic brain injury to the US Army.
Heng Pan conducts research on nanomaterials
Dr. Heng Pan conducts research on nanomaterials for manufacturing applications.
Dr. Benjamin Kwasa uses virtual reality to demonstrate research on Unmanned Aerial Systems.
Jie Gao taking measurements
Dr. Jie Gao researches light-matter interactions in nanophotonics, plasmonics, and metamaterials.

The Intelligent Systems Center (ISC) performs basic and applied research in Artificial Intelligence as applied to engineered systems. This includes innovations in software, hardware, theory and policy, offering transformational impact to our most crucial challenges in manufacturing, energy, bioengineering, national security, social media, and trustworthy systems. We collaborate with industry, government, and other national and international research institutions. The Center is affiliated with national research centers such as: the Center for Aerospace Manufacturing Technologies, the NSF ERC for Future Renewable Electric Energy Delivery and Management Systems, and the NSF I/UCRC on Intelligent Maintenance Systems. The ISC is among the largest research enterprises on campus, and is rapidly growing its membership, increasing intellectual and demographic diversity.

 

Upcoming Seminars

October 1st, 12:00PM: Dr. Jagannathan Sarangapani to share his experiences with ONR and Army and his projects on deep learning: "Machine Learning Project Experience with ONR and Army"

November 5th, 12:00PM: Dr. Mehdi Ferdowsi to share his experiences on GAANN

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Upcoming Events

November 18th: ISC Graduate Poster Presentation

ISC News

Click Here for Archived News

August 4, 2021

Dr. Liou named the new interim ISC director.
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August 3, 2021

Dr. McMillin elected to the 2022-2023 ABET Committee.
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August 3, 2021

Dr. Das collaborates on Cyberinfrastructure for Accelerating Innovation in Network Dynamics (CANDY) project funded by the NSF.
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The Intelligent Systems Center is located in the Engineering Research Lab on the North side of Campus.
Dr. Liou conducts research on additive and subtractive manufacturing
Dr. Frank Liou studies hybrid metal additive and subtractive manufacturing to increase efficiency of layered manufacturing processes.
Illustration of traumatic brain injury
Demonstration of traumatic brain injury scenarios that can be applied to military, sports, and other applications.
Meeting for the Traumatic Brain Injury research group
The Applied Computational Intelligence Laboratory searches for ways to better protect our soldiers from Traumatic Brain Injuries.
Dr. Shank Wright conducts research on smarthouses
Dr. Daniel Shank showcases the benefits of Smart Homes.

ISC Director
Dr. Frank Liou

Interim ISC Director

Mechanical and Aerospace Engineering

Dr. Frank Liou is the Michael and Joyce Bytnar Professor of Mechanical Engineering Department, Missouri University of Science and Technology. He has served as the Director of the Manufacturing Engineering Program at Missouri S&T since the year 1999 and has successfully received several curriculum development funds and set up two scholarship endowment programs. He has published a book on Rapid Prototyping along with over 300 technical papers. Dr. Liou’s research excels in additive manufacturing (AM), including hybrid additive and subtractive processes, path planning, multiscale multiphysics process modeling, and AM process monitoring and control. His research has been funded by AFRL, NASA, NSF, and industries. Dr. Liou has received several teaching, research, and service awards, including several best paper awards. Dr. Liou is a Fellow of ASME.

 

Research Interests:

Metal additive manufacturing (AM), Novel AM process development and process planning, Multiscale multiphysics AM process modeling, Remanufacturing automation, Digital materials processing