Devika Subramanian

Devika Subramanian is a Professor of Computer Science and Electrical and Computer Engineering at Rice University. Her research focuses on artificial intelligence, machine learning, and their applications in systems biology, neuroscience, hurricane risk assessment, and conflict prediction. She holds a PhD from Stanford University and has received numerous awards, including the Julia Miles Chance Prize for Excellence in Teaching (2000).

Education:

• PhD in Computer Science, Stanford University (1989)
• MS in Computer Science, Stanford University (1984)
• BTech in Computer Science and Electrical Engineering, Indian Institute of Technology Kharagpur (1982)

Research Interests: Devika’s work bridges AI with interdisciplinary challenges. Key areas include:

• Predictive modeling for healthcare (e.g., cardiology, oncology)
• Machine learning for disaster risk analysis (hurricanes, power grids)
• Natural language processing and text data analysis
• Cognitive modeling of learning processes
• Pharmacovigilance and drug interaction prediction

Recent Research Trends: Her articles emphasize AI-driven solutions for public health (e.g., long-COVID prediction, thyroid cancer classification) and environmental systems (e.g., hurricane risk stratification, climate modeling). She also explores cybersecurity and bot detection in social media platforms.

Awards and Recognition:

• 2000: Julia Miles Chance Prize for Excellence in Teaching
• 2007: Invited Plenary Speaker, International Joint Conference on Artificial Intelligence
• 2009: Invited Speaker, Heart Failure Society of America

Advising and Grants: While specific student advisees are not listed, her labs likely engage students in interdisciplinary AI projects. Her work on hurricane models and drug safety has attracted funding from agencies like Microsoft Research and the National Institutes of Health.