PeopleofSuperintelligence

Researcher

Arundhati Shanbhag

Arundhati Shanbhag is a computer science researcher whose work connects recommendation systems with diffusion-based image classification. She studied computer science at Visvesvaraya Technological University, began an MSc in Kaiserslautern in 2021, and developed a multimodal thesis system for social robots. Her earlier industry work built e-commerce recommendation systems, and her DFKI research aimed to speed zero-shot image classification with diffusion models. In 2026, she coauthored HyperCore for noisy data and Just Leaf It for diffusion classification; as of October 2026, she is an alumna of DFKI's Data Science and its Applications group.

Timeline

  1. 2015–2019

    Computer science at VTU

    She studies computer science at Visvesvaraya Technological University (VTU) from 2015 to 2019.

  2. 2021–January 2025

    MSc and DFKI research

    She begins an MSc in Computer Science at the Technical University of Kaiserslautern in 2021. By January 2025, she works as a student researcher at DFKI Kaiserslautern under Brian B Moser and Prof. Dr. Andreas Dengel.

  3. By January 2025

    E-commerce recommendation systems

    By January 2025, she has two years of experience developing recommendation systems for e-commerce clients at AIEnterprise in Bangalore. She designs models for upselling and cross-selling products.

  4. By January 2025

    Multimodal cues for social robots

    By January 2025, her master's thesis, “Leveraging Multimodal Environmental Cues for Human-Robot Interaction,” develops an audio-visual system that gives social robots context from their surroundings.

  5. By January 2025

    Faster zero-shot classification

    By January 2025, her latest work aims to reduce inference time for zero-shot image classification with diffusion models.

  6. 2026

    HyperCore for noisy data

    In 2026, she coauthors HyperCore, a paper on coreset selection under noise with hypersphere models.

  7. 2026

    Just Leaf It

    In 2026, she coauthors Just Leaf It, a diffusion-classifier paper on hierarchical class pruning.

  8. As of October 2026

    Alumna of DFKI

    As of October 2026, she is an alumna of DFKI's Data Science and its Applications group.

Career

  1. DFKIStudent researcher

Education

  1. From 2021University of KaiserslauternMSc
  2. 2019Visvesvaraya Technological University

From the biography.

  1. Nonprofit roles are 2.3 times as common in AI safetyIncludes DFKI. We estimate where people focused on safety, alignment and evaluation work. Nonprofit roles appear for 25.1% of safety people with known affiliations, compared with 11.0% in other areas.
  2. The top 10 organizations employed 22% of people shaping AI in 2025: 51% of company researchers and 21% of university researchersIncludes DFKI. We estimate the share of people shaping AI who worked at the top 10 organizations each year from 1955 to 2025, comparing concentration across companies, universities, and institutes and labs.
  3. The United States employs an estimated 48% of people shaping AIIncludes DFKI. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes DFKI. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Sources and credits

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  1. Arundhati Shanbhag — Data Science and its Applications dsa.dfki.de. Checked 20 October 2026.
  2. 👋 Hi there, I’m Arundhati - Homepage arus23.github.io. Checked 20 October 2026.
  3. Poster Session 2 | ICPR2026website icpr2026.org. Checked 20 October 2026.
  4. Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning nauen-it.de. Checked 20 October 2026.
  5. Team — Data Science and its Applications dsa.dfki.de. Checked 20 October 2026.