NAIRR pilot brings cutting-edge AI resources to researchers and educators across the nation.

Launched in January 2024 as the first step toward a future national AI research infrastructure, the NAIRR pilot partners have been working rapidly to connect a broad cohort of researchers and educators with essential AI research resources.

Folding the future: The rise of origami-inspired robots.

Supported by the NSF Faculty Early Career Development Program award, "Computational Design for Robust Legged Robots," Sung's research blends the precision of engineering with the creativity of art to develop origami-inspired robots.

U.S. releases National Spectrum Research and Development Plan to guide spectrum innovation.

Co-led by NSF, the plan supports President Joe Biden's spectrum modernization strategy, emphasizing interdisciplinary research and innovation in spectrum sharing, agile antennas and interference resilience.

Cybersecurity Center of Excellence Receives Five-Year, $6M/Year Award From NSF.

NSF has awarded Trusted CI, the NSF Cybersecurity Center of Excellence, a five-year, $6 million-per-year award to address pressing national cybersecurity workforce development needs.

Escape From Hurricanes with Driverless Cars.

NSF-funded supercomputers at the Texas Advanced Computing are used to study how shared autonomous vehicles can get people who do not have their own car into shelters out of harm’s way.

NSF, NIH and FDA support research in digital twin technology for biomedical applications.

Over $6 million was awarded across seven projects exploring dynamic virtual representations known as digital twins for therapeutic and clinical use.

Global Artificial Intelligence Research Agenda.

An interagency effort created a foundational document to align global AI research. CISE's Michael Littman discusses the Global Artificial Intelligence Research Agenda and its role in fostering international collaboration.

Computer and Information Scientist Nicola Dell Wins "Genius Grant".

CISE-funded computer and information scientist has been awarded the 2024 MacArthur Foundation fellowship (also known as the Genius Grant) for her work on innovative technology interventions supporting overlooked populations, including home health care aides and survivors of intimate partner violence.

Hoda Mehrpouyan, Ph.D., is an associate professor of computer science at Boise State University in Idaho. Her research focuses on protecting the privacy, security and reliability of cyber-physical systems — systems that combine software and hardware, such as smart grids, medical devices or autonomous vehicles. These systems play an important role in our everyday lives, from making sure we have a stable power supply to ensuring the safety of medical devices. By improving the security of these systems, she helps prevent risks to our safety, industries and even national security.

Mehrpouyan is particularly focused on requirement analysis, formal verification and compositional modeling and reasoning, focusing on safety and failure resilience in complex engineering systems. Her work often utilizes techniques, including model checking, theorem proving, automated reasoning and cyber-physical system design. Additionally, she integrates machine learning to enhance system robustness and resilience, applying it for anomaly detection, predictive maintenance and adaptive control. Her interdisciplinary approach combines insights from AI, systems engineering and control theory to ensure safety, security and efficiency of critical infrastructures.

Mehrpouyan was awarded an NSF Faculty Early Career Development award from the SaTC program to develop a strong security system that protects water treatment plants from cyberattacks. Further, she developed algorithms and tools to detect process anomalies by analyzing sensors and actuators' real-time and historical data used for training deep neural network algorithms.

In addition, in August 2016, she was awarded an NSF CISE Research Initiation Initiative grant based on the proposal submitted to the SaTC program to create tools, algorithms and systems that help protect people's privacy. The project focused on helping users control what information they share and with whom based on their unique needs and values. They used machine learning and natural language processing to identify privacy risks and prevent unintentional disclosures in real time. Their findings highlighted the dynamic nature of privacy, influenced by personal, social and environmental factors. The findings also provided a path for better privacy protection without limiting users' ability to communicate and interact online.

Mehrpouyan currently serves as the director of the Idaho Election Cybersecurity Center and has authored and co-authored over 50 publications, presentations and reports focused on the privacy and security of Industrial Control systems. She received her bachelor's degree from the British Columbia Institute of Technology in Canada and her master's degree in software engineering from Link¨opings University in Sweden. Mehrpouyan earned her doctorate in mechanical engineering from Oregon State University.