✿ Arundhati.

A CURIOUS MIND. A DATA-CENTRIC LENS.

Hello, I’m
Arundhati.

PhD researcher at DFKI & RPTU
Kaiserslautern-Landau, Germany

I study how we can help models learn more from less data. My research brings together data selection, dataset distillation, and continual learning, with a growing focus on vision–language models.

Arundhati Shanbhag
a little curiosity goes a long way
Data-centric learning✿Continual learning✿Dataset distillation✿Vision + language

01 / RESEARCH

Small datasets.
Big questions.

What does a model really need to learn?
I explore the role of training data: what we keep, what we compress, and how we keep learning.

✿

SELECT & COMPRESS

Learning from less

Coreset selection and dataset distillation: finding or creating compact datasets that preserve what matters for learning.

✳

REMEMBER & ADAPT

Learning over time

Continual learning: exploring how data selection can support learning from new experiences while retaining previous knowledge.

❋

CONNECT & UNDERSTAND

Learning across modalities

A growing focus on vision–language models, and how data-efficient learning can connect images and text.

02 / SELECTED WORK

Threads of exploration.

Publications on Google Scholar ↗
01

DOCTORAL RESEARCH · ONGOING

Data-efficient learning

Exploring data selection and distillation in continual and multimodal learning. How can a compact training set support effective learning when data is limited or constrained?

Dataset distillationCoreset selectionContinual learning
02

MASTER’S THESIS · RPTU

Leveraging Multimodal Environmental Cues for Human-Robot Interaction

An audio-visual system for the humanoid robot EMAH, bringing together environmental sound, object detection, scene text, and human activity to better interpret its surroundings.

Robotics Research Lab ↗

03 / THE PERSON BEHIND THE PAPERS

Rooted in research.
Curious about life.

I’m Arundhati Shanbhag, a PhD researcher in artificial intelligence at DFKI and RPTU Kaiserslautern-Landau.

My path has taken me through recommendation systems, diffusion models, and multimodal robotics. Today, I’m interested in how the data we choose shapes what models learn.

Outside research, I enjoy cooking, reading, gardening, crocheting, and travelling to experience different cultures.

CookingReadingGardeningCrochetingTravelling
ORCID ↗ GitHub ↗

GOOD IDEAS START WITH A CONVERSATION

Let’s grow something together.

Questions about my research, shared interests, or a potential collaboration?
I’d love to hear from you.

Say hello ↗