Md Osman Gani

Md Osman Gani is an Assistant Professor of Information Systems at the University of Maryland, Baltimore County (UMBC), leading the Causal AI Lab. He is also a faculty affiliate at Purdue University's Regenstreif Center for Healthcare Engineering. His research focuses on machine learning, causality, healthcare applications, and ubiquitous computing.

• Education:
• B.Sc. in Computer Science and Engineering (Military Institute of Science and Technology, Bangladesh)
• M.Sc. and Ph.D. in Computational Sciences (Marquette University, USA)

Research Interests: Causal inference, machine learning applications in healthcare, climate science, and mobility accessibility. His work combines computational modeling with domain-specific knowledge to solve real-world problems like ICU patient outcomes and wheelchair routing systems.

Publications highlight advancements in causal discovery methods, medical AI, and time-series analysis, with a strong focus on healthcare and environmental applications. Key contributions include frameworks like CDANs for non-stationary data and the Causal AI Lab's work on oxygen therapy impact in ICUs.

• Awards: TMLR Survey Certificate for thorough causal discovery analysis (2023)

He actively mentors students through UMBC's Causal AI Lab and seeks motivated Ph.D. candidates. His labs focus on developing AI solutions for healthcare, climate modeling, and accessibility technologies.