AI researchers to help Indiana manufacturers

photo: Raj Acharya.
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Credit: Indiana University Photo

BLOOMINGTON, Indiana — Indiana University researchers are using artificial intelligence and machine learning to help small and medium-sized manufacturers in Indiana reduce their carbon footprint and train students for careers in the emerging field of energy analysis.

Faculty in the IU Luddy School of Computing, Computing and Engineering at IU Bloomington and the School of Engineering and Technology at IUPUI develop advanced manufacturing data models and analytics applications that will recommend processes and protocols to manufacturing companies so they can reduce their energy consumption, which will increase plant efficiency and improve sustainability.

“Currently, more than 95% of manufacturers in Indiana lack analytics to correlate their energy use with assembly lines, machines, shifts, operator usage patterns, and more.” said Raj Acharya, Associate Vice President for AI Research and Innovation at IU, John H. Rudy Professor of Computer Science, Engineering, and Computer Science at the Luddy School, and Principal Investigator of the project. “This understanding, coupled with solutions to detected issues, will allow manufacturers to immediately see improvements in their energy consumption processes.”

Researchers will also create educational resources, including a raw data repository and new programs, and work alongside students to provide them with hands-on experience in developing and implementing analytical models to assess energy data.

An interdisciplinary collaboration

The project is a collaboration between Indiana’s top research universities – IU, Purdue University and the University of Notre Dame – as well as industry and nonprofit partners Amazon Web Services, Conexus Indiana, Energy Systems Network and the Emerging Manufacturing Collaboration Center, which is located in the 16 Tech Innovation District of Indianapolis.

These partners are brought together by two concurrent programs:

  • AnalytiXINan initiative facilitated by the Central Indiana Corporate Partnership to develop a digital community, including a place-based collaboration center in Indianapolis, that will strengthen ties and encourage engagement of university data science research and development talent with their industry peers to drive sustained innovation within Indiana.
  • Energy outlookthat helps participating Indiana manufacturers integrate an Amazon Web Services-connected platform, state-of-the-art computing and sensor hardware, and artificial intelligence and data science software tools to optimize energy efficiency of their factories.

Researchers from IU, Purdue, and Notre Dame will work closely to collect and analyze data collected from Energy INsights and university testbeds to develop applications and a raw data repository, or “lake of data”, for use by the wider communities of industry, research and education. . Researchers will bundle their applications into customizable resources on Amazon Web Services’ cloud, where they will be made available to makers.

Leverage UI Expertise

Vikram Jadhaoassociate professor of intelligent systems engineering at the Luddy School and co-principal investigator of the project, said the three universities will also work separately to put their own unique spin on the apps they develop, based on the expertise of their faculty.

At IU, researchers bring together a variety of interdisciplinary experiences, particularly in the Luddy School’s Department of Intelligent Systems Engineering, which was founded in 2016. The department connects faculty experts in artificial intelligence, machine learning , data science, modeling and simulation, cloud computing, and more.

“We are probably the first institution in the world where engineering is seen through the prism of artificial intelligence and computer science,” Jadhao said.

Luddy School is also home to the Laboratory of fibers and systems enabled by additive manufacturing, led by Alexander Gumennik, assistant professor of intelligent systems engineering at the school. The state-of-the-art laboratory includes approximately 3,000 square feet of clean rooms, optical labs and manufacturing facilities with highly customized innovative equipment. This is where the IU researchers plan to test and calibrate their energy analysis applications for the project.

“Our university’s role in this one-of-a-kind project is testament to the world-class quality of the computer science, computer science and engineering research program we have built at IU,” said the IU Vice President. for research, Fred H. Cate. “This is a great example of how IU faculty and students are working at the forefront of emerging research areas to help make Indiana a better place to live and work.”

Train the workforce of tomorrow

Although a lot of AI research has been applied to health and healthcare, Acharya said it was one of the first research projects to combine the fields of energy, ‘AI and manufacturing.

“No single program currently offers this diverse set of training disciplines, presenting both unique challenge and opportunity,” Acharya said. “As part of this effort, we will create a unique training and education program at the intersection of engineering, computing, AI, machine learning and technology.”

In addition to building industry tools, IU will develop extensive education and training materials, including lectures, tutorials, lab environments, training exercises, and high-fidelity simulations of cost-saving solutions. energy in practice. The project will also provide extensive hands-on experience and industry internship opportunities for IU undergraduate and graduate students.

Luddy School student Anisha Bajaj who is chasing a master in data sciencesaid the project will be a good learning opportunity.

“I’m very excited to work on the project,” Bajaj said. “We try to predict the future energy consumption of small industries and using the prediction we will try to recommend actions to save energy. It will help me pursue my career goals by providing real-world experience of applying my AI and knowledge of machine learning to a real-world problem.”

The two-year project is already underway, with IU researchers setting up fabrication testbeds on campus.

Other IU Bloomington and IUPUI professors involved in the project include Ariful Azad, Prateek Sharma, Euzeli Cipriano Dos Santos and Travis Brown.

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James G. Williams