Rishikesan Kamaleswaran
Scholar

Rishikesan Kamaleswaran

Google Scholar ID: Qlq7GEQAAAAJ
Duke University
Host-ResponseInjuryCritical CareMachine LearningArtificial Intelligence
Citations & Impact
All-time
Citations
3,122
 
H-index
22
 
i10-index
61
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • The lab is jointly supported by the Department of Surgery and Department of Anesthesiology in the School of Medicine.
Research Experience
  • The lab's research areas include synthesizing physiological waveforms, wearable sensors, and social determinants with adaptive AI, aiming to untether hospital-level care from traditional settings, ensuring equitable, precision interventions. The work also involves bridging granular biology and societal context, empowering clinicians with transparent, real-time systems that honor the complexity of human illness. The goal is to transform medical care where decentralized innovation nurtures resilience, from cells to communities.
Background
  • Research interests include merging robotics, multi-modal AI, and integrative science to redefine medical care. The lab develops machine learning methods (causal inference, domain adaptation), robotic/automation frameworks and tools that decode whole-person health: from molecular genetics and multi-omics to psychosocial and environmental drivers of host resilience in acute injury, cystic fibrosis, trauma, and multi-organ failure.
Miscellany
  • The lab envisions a decentralized and democratized future for medical care, focusing on transforming medical care through decentralized innovation.