Salimeh Sekeh

I am an Associate Professor of Computer Science at San Diego State University and Founder of M2OWL.ai LLC.
Prior to SDSU, I was Assistant Professor of Computer Science in the School of Computing and Information Science (SCIS) at the University of Maine. I received the 2022 NSF CAREER Award, 2023 Maine College of Engineering and Computing (MCEC) Early Career Research Award, and the nomination of 2022 and 2024 Supervisor of the Year. Prior to UMaine, I was a postdoctoral research fellow in the Electrical Engineering and Computer Science Department at the University of Michigan, Ann Arbor. I have also held appointments in Brazil and Italy.

Research Interests:
Reliable and safe artificial intelligence, Physical AI in the open world, Machine learning, Design, improvement, and analysis of deep learning techniques with an emphasis on efficiency and robustness, Open-world learning for multimodal systems, Continual Learning and Domain adaptation, Foundations of extreme-scale vision-language models (VLMs) and vision-language action (VLA) models, Graph summarization, Data mining, and High-dimensional network structure learning.

Practical applications of AI in real-world problems, including robotics, human-in-the-loop supervision, hyperspectral imaging, safe transportation, forestry-ocean science, and health care. 

Note to Prospective Students:
I am always looking for prospective students and post-docs with a strong mathematical
background who are interested in working in theoretical and practical aspects of artificial intelligence. Information for prospective students can be found on the Sekeh lab page.