The first step to build truly intelligent systems is to understand vision and perception. How do vision systems, across species, stay robust in a chaotic world?
Harini Sudha J G
Harini Sudha is a PhD researcher at the Hertie Institute for AI in Brain Health and an ELLIS PhD student. Her work focuses on using Deep Learning to uncover fundamental principles of retinal perception across species. She is particularly interested in how vision systems achieve robustness and adapt to noise, shifting task demands and environmental conditions. She is interested in linking retinal processing with behavioral ecology through explainable computational models for understanding sensory system evolution and diversity. To do so, she explores approaches from Representation Learning and Deep Reinforcement Learning. Through her discoveries, she aims to inform next generation design of robust artificial vision systems.
The first step to build truly intelligent systems is to understand vision and perception. How do vision systems, across species, stay robust in a chaotic world?
Present Positions And Title
PhD Student
Research Group
Email Address
Career
| Period | Institution | Role |
|---|---|---|
| Since 2025 | University of Tübingen | PhD student |
| 2023 - 2024 | PGI-15, Forschungszentrum Juelic | Research Assistant |
| 2022 - 2023 | KTH Royal Institute of Technology, Sweden | Research Intern |
Academic Education
| Degree | Institution | Field of Study | |
|---|---|---|---|
| MSc | KTH Royal Institute of Technology, Sweden | Neuromorphic Computing | |
| BSc | Indian Institute of Science Education and Research, Pune |