Aryan Deshwal featured in IJCAI/ECAI Early Career Spotlight Program
Department of Computer Science & Engineering Assistant Professor Aryan Deshwal spoke at the International Joint Conference on Artificial Intelligence/European Conference on Artificial Intelligence (IJCAI/ECAI) Early Career Spotlight this August in Bremen, Germany.
Deshwal was one of just 14 researchers chosen for this year’s program. The invited speaker program recognizes early-career researchers who have already made significant research contributions to artificial intelligence (AI) and who demonstrate strong potential for future impact. Selected researchers are invited to present their research achievements, future directions, and academic visions to the international AI community.
“It's an honor and feels great to be selected for the IJCAI Early Career Spotlight Award and see my group's work recognized by the research community,” Deshwal said. “It was a wonderful experience, and I really appreciate the recognition and the invitation to speak.”
At the event, Deshwal presented his talk, “Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design.” The presentation highlighted how artificial intelligence can help scientists and engineers identify optimal materials, molecules, and hardware designs while reducing the number of costly experiments and simulations required.
“It was a great opportunity to share both the foundations of AI approaches to handle such problems and the wide range of applications,” Deshwal said. “My talk focused on a key problem that appears in many science and engineering domains: how do we adaptively select a sequence of experiments to reach our design goal in a resource-efficient manner?”
Deshwal's work is supported by the National Science Foundation CAREER Award, which he received earlier this year. His research focuses on adaptive experimental design, a type of AI method that strategically selects which experiments to perform next.
One of Deshwal's key takeaways from the conference was the growing interest in using AI to advance scientific research.
"It has increasingly become an important research topic at all AI conferences," Deshwal said. "At the University of Minnesota, we've also been organizing several workshops in this area for multiple years now, and it's exciting to see that momentum continuing to build."
He also valued the opportunity to connect with fellow researchers from around the world.
"I enjoyed learning about the diverse research interests and exciting work of the other speakers.”
Learn more about Deshwal’s work at his personal website.