Divya Saxena

I am looking for strongly motivated candiates for the PhD positions. Please email me your CV (subject: "PhD position: your name"), if interested.

I am also looking for strongly motivated remote research interns. Please email me your CV (subject: "Remote Research Intern: your name"), if interested.

I lead research on advancing AI for constrained real-world environments.

At the Machine Intelligence Lab, our broader goal is to develop intelligent systems that can learn, adapt, and generalize when data are limited, environments evolve, knowledge is distributed, modalities are diverse, and resources are constrained.

To address these challenges, our work connects three capabilities: learning from multimodal data, deploying efficient foundation models, and building AI agents for context-specific assistance.

Divya Saxena is an Assistant Professor in the School of Artificial Intelligence and Data Science at the Indian Institute of Technology, Jodhpur (IIT Jodhpur). She received her Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Roorkee (IIT Roorkee) in 2017, and completed her postdoctoral research (2018–2021) at The Hong Kong Polytechnic University (PolyU, QS World Ranking 54, 2025), where she also served as a Research Assistant Professor (2021–2025).

Divya leads research at the frontier of generative AI, developing foundation models that are adaptive, sustainable, and engineered for practical, high-impact deployment.

Dr. Saxena is a Senior Member of IEEE, currently serves as an Associate Editor for the IEEE Internet of Things Journal (IoT-J), and regularly reviews for leading journals and conferences in AI and machine learning. She is committed to developing AI that is robust, accessible, and impactful, and welcomes collaborations across academia and industry.