Welcome!
Our team’s research spans various theoretical and practical aspects of artificial learning (AI). We focus on open-world learning for physical AI systems and the foundations of multimodal learning. Our secondary mission is to explore applications and advances of multimodal AI/ML/CV approaches in real-world problems, including remote patient monitoring and healthcare. The lab's research has been generously supported by the National Science Foundation (NSF), University of Maine, MSGC/NASA, UMaine Space Initiative, San Diego State University, and Cisco.
Our project codes are available on our Github!
Summer Bootcamp: Introduction to Deep Learning, July 18th-19th, 2023, Roux Institute, Portland, Maine.
Summer Bootcamp: Deep Learning and Artificial Intelligence! July 25, 2025, San Diego State University.
Sekeh Lab - YouTube
Prospective Students:
We are always looking for highly motivated students with an interest/background in Machine Learning, Computer Vision, and AI to join our group.
The focus of our research is on the following areas:
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Robust AI and out-of-distribution detection
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Physical AI in the open world
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Open-world learning for multimodal systems
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Continual learning and domain adaptation
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Reliable and safe navigation in complex environments
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Knowledge transfer in multi-robot collaboration
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Human-in-the-loop supervision in artificial learning
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Adversarial learning and deep network robustness
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Remote patient monitoring and wound care with AI
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Graph Summarization and subgraph learning
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High-dimensional network structure learning with applications in biology
Applicants with a background or interest in related research are welcome to apply. If you are interested in joining our group, please send your cover letter and CV to ssekeh@sdsu.edu.
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