Alumni

AI Research Scientist, Meta SuperIntelligence Labs

Works on AI safety, multimodal robustness, and trustworthy models, with earlier research appointments at Google DeepMind and Meta FAIR.

Pre-Doctoral Researcher, Google DeepMind

Works on generative models and efficient language models, after research roles with Microsoft Research India and IITGN.

Research Associate, University of Cambridge

Researches mobile sensing and health AI. Public profiles note Fulbright-Nehru, PMRF, Amazon internship, and student innovation recognition.

Assistant Professor, CSE, IIIT Delhi

Works in algorithms for data science, including coresets, clustering, and large-scale optimization.

Assistant Professor, CSE, IIT BHU

Researches computer vision, deep learning, unsupervised learning, and vision-language models.

Assistant Professor, IIT(ISM) Dhanbad

Computer-vision researcher whose public alumni profile lists PMRF, BRICS Young Scientist, JSPS, Qualcomm Innovation Fellowship, patent, and CVPR-workshop recognition.

Assistant Professor, DA-IICT / DAU Gandhinagar

Works on streaming and randomized algorithms, coresets, and scalable methods for clustering and graph problems.

Postdoctoral researcher, Universite libre de Bruxelles

Works in theoretical computer science, algorithms, and data structures after completing doctoral work at IITGN.

Postdoctoral researcher, St. Jude Children's Research Hospital

Researches machine learning for imaging and neurotechnology, with prior postdoctoral work at the University of Rhode Island.

Assistant Professor, Nagoya University

Recognized by ACM India Doctoral Dissertation Award 2025 mentions for her work on parameterized complexity and structural graph parameters.

Postdoctoral researcher, University of Warwick

Works on dynamic algorithms, streaming and sublinear algorithms, graph analytics, and fair representation.

Faculty member, SRM University-AP

Works on graph algorithms, complex networks, data mining, machine learning, and systems with patents and journal publications listed publicly.