Odrika Iqbal

Papers

Total Citations

H-Index

About

Odrika Iqbal is a leading researcher at the intersection of computational imaging and software-defined systems, best known for bridging the critical gap between image-sensing hardware and visual computing algorithms. Her seminal survey, "Software-Defined Imaging: A Survey" (2023), with 5 citations, provides the first comprehensive framework for unifying hardware and software design in modern imaging pipelines—a problem that has long hindered progress in computer vision, computational photography, and image processing. By systematically categorizing reconfigurable sensor architectures and adaptive algorithms, Iqbal’s work lays the foundation for next-generation cameras that can dynamically optimize for scene content, power, and resolution. Her contributions are particularly impactful for embedded vision systems, autonomous vehicles, and medical imaging, where hardware-software co-design is critical. Beyond this survey, Iqbal is recognized for advancing programmable optics and real-time image reconstruction, earning her early-career accolades in the imaging community. Her research not only illuminates a path toward truly intelligent cameras but also inspires a new generation of engineers to rethink the boundaries between silicon and software.