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

At the Machine Intelligence Lab, our broader goal is to develop intelligent systems that can learn, adapt, and generalize under imperfect real-world conditions, where

data are limited,

environments evolve,

knowledge is distributed,

modalities are diverse,

resources are constrained.

To address these challenges, we develop methods across

Generative AI | Foundation Models | Multimodal AI | Federated Learning | Continual Learning

Our work bridges foundational AI innovation with the practical challenges of learning in non-ideal environments, including those arising in healthcare and other high-impact domains.

Sep 2025	One paper accepted in IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
Sep 2025	One paper accepted in IEEE Annual Congress on Artificial Intelligence of Things 2025 (IEEE AIoT 2025).
Aug 2025	One paper accepted in IEEE Transactions on Knowledge and Data Engineering (TKDE).
Aug 2025	One paper accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
July 2025	Joined IIT Jodhpur as Assistant Professor.
April 2025	Appointed Associate Editor, IEEE Internet of Things Journal (IoT-J)(April 2025- ).
July 2025	One paper accepted at IJCNN 2025.
Mar 2025	Delivered a tutorial, “Dynamic Architectural Adaptations for Resource-Efficient Generative AI in IoT Systems”, at IEEE PerCom 2025, Washington DC.
July 2025	One paper accepted at WACV 2025.
Feb 2025	Invited speaker: “Transforming Computer Vision with Large Language Models”, ATAL FDP sponsored by AICTE, organized by Graphic Era University, India.
Jan 2025	One paper received the Best Paper Award at ISDIA 2025.
Dec 2025	One paper accepted in Wiley Transactions on Emerging Telecommunications Technologies.
Dec 2024	One paper accepted at NeurIPS 2024.
Aug 2024	Delivered a tutorial, “Redefining Generative Modeling in Data-Limited Environments”, at DASFAA 2024, Gifu, Japan.
Aug 2024	Received Best Presentation Runner-up at the PolyU Research Student Conference (PRSC 2024), for the paper “Addressing Multimodel Forgetting in Continual Learning with Growing Model Capacity”.
Oct 2024	One paper accepted in Elsevier Expert Systems with Applications (ESWA).
Sep 2024	Elevated to IEEE Senior Member.
2024	Received the Long-Term Service Award, The Hong Kong Polytechnic University, Hong Kong.
Feb 2024	Invited talk, “Adaptive GANs Architectures for Enhanced Data Efficiency", at GLA University, Mathura.

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.