Divya Saxena

Divya Saxena

Assistant Professor

School of Artificial Intelligence and Data Science

Indian Institute of Technology (IIT), Jodhpur

Address: NH 62, Surpura Bypass Rd, Karwar, 

Jheepasani, Rajasthan 342030, India

Office: 305-A, 2nd Floor

Office No.: (0291) 280 1761

Email: divyasaxena@iitj.ac.in

Google Scholar | LinkedIn | ORCID ID | Scopus Author ID

My research lies at the intersection of Generative AI, Deep Learning, and Edge AI. 

Prior to joining IIT Jodhpur, I worked at The Hong Kong Polytechnic University (PolyU) (QS World Ranking 54) as a Research Assistant Professor (2021-2025), Research Fellow, and Postdoctoral Fellow (2018-2021) in the Department of Computing and the UBDA. I earned my Ph.D. in Computer Science and Engineering from IIT Roorkee in 2017.

Recruitment

I am looking for strongly motivated  PhD students for deep learning, GenAI related research. Please feel free to contact me with your CV for more information. Write in the Subject of the email, PhD position: your name.

News

1. Delivered an expert talk during the Faculty Development Program (FDP): AI in Medical Imaging (AIMI) 2025, organized by the Centre of Excellence in Artificial Intelligence, NSUT in association with E&ICT Academy, IIT Roorkee, India.

2. "COIN-GNN: Inductive Spatial-Temporal Prediction for Continuous Distribution Shifts via Graph Neural Networks", accepted in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025. Congratulations to all authors 🎉🎉

3. "Re-GAN: Data-Efficient GANs Training Via Architectural Reconfiguration", accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. Congratulations to all authors 🎉🎉

4. Joined IIT Jodhpur, July 2025.

5. Associate Editor - IEEE Internet of Things Journal (IoT-J), April 2025

6. Won Best Presentation Runner-up, Y. Zhao, D. Saxena, J. Cao, X. Liu and C. Song, "Addressing Multimodel Forgetting in Continual Learning with Growing Model Capacity" at the 2nd PolyU Research Student Conference (PRSC 2024), 29-30 August, PolyU. Congratulations to all authors 🏆

7. Elevated to IEEE Senior Member 🎊🎊

8. "NASPrecision: Neural Architecture Search-Driven Multi-Stage Learning for Surface Roughness Prediction in Ultra-Precision Machining", accepted in Elsevier Expert Systems with Applications (ESWA), 2024. Congratulations to all authors 🎉🎉

9. "Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning", accepted in the 38th Annual Conference on Neural Information Processing Systems (main track NeurIPS 2024). Congratulations to all authors 🎉🎉

10. "Data-Efficient Alignment in Medical Imaging via Reconfigurable Generative Networks", accepted in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025). Congratulations to all authors 🎉🎉

11. "Channel Estimation for IRS-aided OTFS System using Dilated Attention GAN", accepted in Wiley Transactions on Emerging Telecommunications Technologies, 2025. Congratulations to all authors 🎉🎉 

Publications

Patent

1.  A method and system for detecting food freshness, Hong Kong Patent, 2024.

Journal

1. [TKDE IEEE] J. Zheng, D. Saxena, J. Cao, "COIN-GNN: Inductive Spatial-Temporal Prediction for Continuous Distribution Shifts via Graph Neural Networks", accepted in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025.

2. [TPAMI IEEE] D. Saxena, J. Cao, J. Xu, T. Kulshrestha "Re-GAN: Data-Efficient GANs training Via Architectural Reconfiguration", accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

3. [ESWA Elsevier] P. Ruan, D. Saxena, J. Cao, X Liu, R Wang, CF Cheung, "NASPrecision: Neural Architecture Search-Driven Multi-Stage Learning for Surface Roughness Prediction in Ultra-Precision Machining", accepted in Elsevier ESWA, 2024.

4. [ETT Wiley] S. Singh, A. Trivedi, D. Saxena, "Channel Estimation for IRS-aided OTFS System using Dilated Attention GAN", accepted in Wiley Transactions on Emerging Telecommunications Technologies, 2025

5. [TNNLS IEEE] Y. Zhao, D. Saxena, J. Cao, “AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets,” accepted in IEEE Transactions on Neural Networks and Learning Systems, 2023.

6. [TGCN IEEE] S. Singh, A. Trivedi, D. Saxena, “Channel Estimation for Intelligent Reflecting Surface aided Communication via Graph Transformer,” accepted in IEEE Transactions on Green Communications and Networking, 2023.

7. [PHYCOM Elsevier] S. Singh, A. Trivedi, D. Saxena, "Unsupervised LoS/NLoS Identification in MmWave Communication using Two-stage Machine Learning Framework", has been accepted in Elsevier Physical Communication, 2023.

8. [TIP IEEE] D. Saxena, T. Kulshrestha, J. Cao, S-C Cheung, “Multi-Constraint Adversarial Networks for Unsupervised Image-to-Image Translation”, accepted in IEEE Transactions on Image Processing (TIP), 2021.

9. [JNCA Elsevier] H. Gauttam, K.K. Pattanaik, S. Bhadauria, and D. Saxena, "A cost aware topology formation scheme for latency sensitive applications in edge infrastructure-as-a-service paradigm." Journal of Network and Computer Applications, 2021.

10. [TIST ACM] D. Saxena, J. Cao, “Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks”, accepted in ACM Transactions on Intelligent Systems and Technology, 2021

11. [CSUR ACM] D. Saxena, J. Cao, “Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions”, ACM Computing Survey, Vol. 54(3), pp. 1-42, 2021.

12. [TOSN ACM] R. K. Verma, K. K. Pattanaik, S. Bharti, D. Saxena, J. Cao, “A Query Processing Framework for Efficient Network Resource Utilization in Shared Sensor Networks, ACM Transactions on Sensor Networks (TOSN), Vol. 16(4), pp. 1-28, 2020.

13. [TMC IEEE] T. Kulshrestha, D. Saxena, R. Niyogi, J. Cao, “Real-time Crowd Monitoring using Seamless Indoor-Outdoor Localization”, IEEE Transactions on Mobile Computing, Vol. 19(3), pp. 1-16, 2019.

14. [JNCA Elsevier] R. Verma, K.K. Patnaik, S. Bharti, D. Saxena, “In-network Context Inference in IoT Sensory Environment for Efficient Network Resource Utilization,” Elsevier Journal of Network and Computer Applications, Vol. 130, pp. 89-103, 2019.

15. [JNCA Elsevier] T. Kulshrestha, D. Saxena, R. Niyogi, V. Raychoudhury, M. Misra, “SmartITS: Smartphone-based Identification and Tracking using Seamless Indoor-Outdoor Localization,” Elsevier Journal of Network and Computer Applications, Vol. 98, pp. 97-113, Nov 2017.

16. [TSMC IEEE] D. Saxena and V. Raychoudhury, “Design and Verification of an NDN-based Safety-critical Application: A Case Study with Smart Healthcare,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 49(5), pp. 991-1005, 2017.

17. [JNCA Elsevier] D. Saxena and V. Raychoudhury, “N-FIB: Scalable, Memory Efficient Name-based forwarding,” Elsevier Journal of Network and Computer Applications, Vol. 76, pp. 101-109, September 2016.

18. [JNCA Elsevier] D. Saxena, V. Raychoudhury, “Radient: Scalable, Memory Efficient Name Lookup Algorithm for Named Data Networking," Elsevier Journal of Network and Computer Applications, Vol. 63, pp. 1-13, March 2016.

19. [Computer Science Review Elsevier] D. Saxena, V. Raychoudhury, N. Suri, C. Becker, J. Cao, “Named Data Networking: A Survey,” Elsevier Computer Science Review, Vol. 19, pp. 15-55, January 2016.

Conference

1. [NeurIPS’ 24] P. Ruan, P. Wang, D. Saxena, J. Cao, Y. Shi, "Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning", accepted in the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024). 

2. [WACV’ 25] D. Saxena, J. Cao, J. Xu, T. Kulshrestha, “Data-Efficient Alignment in Medical Imaging via Reconfigurable Generative Networks”, accepted in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025) [167 long papers accepted out of 1381 submitted papers]

3. [DASFAA’ 24] J. Zheng, D. Saxena, J. Cao, H. Yang, P. Ruan, “Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network”, accepted in 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024) [147 long papers accepted out of 971 submitted papers]

4. [AAAI’ 24] D. Saxena, J. Cao, J. Xu, T. Kulshrestha "RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks" accepted in the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024. 

5. [CVPR’ 23] D. Saxena, J. Cao, J. Xu, T. Kulshrestha "Re-GAN: Data-Efficient GANs training Via Architectural Reconfiguration", In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16230-16240. 2023.

6. [MASS’ 20] D. Saxena, V. Raychoudhury “Scalable, Memory-efficient Pending Interest Table of Named Data Networking”, In 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS), Roorkee, India, Dec., 10-13, 2020.

7. [ISPA’ 19] T. Kulshrestha, D. Saxena, R. Niyogi “A Learning Based Human Interaction Modeling Using Mobile Sensing”, In 17th IEEE International Conf. on Parallel & Distributed Proc. with Applications, Xiamen, China, Dec., 16-19, 2019.

8. [ICDCN’ 19] D. Saxena, S. Mahar, V. Raychoudhury, J. Cao, “Scalable, High-speed On-chip based NDN Name Forwarding using FPGA,” In Proceedings of 20th ACM International Conference on Distributed Computing and Networking (ICDCN), Bangalore, India, Jan., 4-7 2019.

9. [ITSC’ 18] K. Bathala, V. Raychoudhury, D. Saxena, A. Kshemkalyani, “Real Time Distributed Taxi Ride Sharing,” In Proceedings of 21st IEEE Intelligent Transportation Systems (ITSC), Maui, Hawaii, November 4-7, 2018.

10. [ITSC’ 18] A. Agrawal, V. Raychoudhury, D. Saxena, A. Kshemkalyani, “Efficient Taxi and Passenger Searching in Smart City using Distributed Coordination,” In Proceedings of 21st IEEE Intelligent Transportation Systems (ITSC), Maui, Hawaii, November 4-7, 2018.

11. [PerCom PerAwareCity’ 18] V. Kapoor, D. Saxena, V. Raychoudhury, and S. Kumar, “Real Time Building and Maintaining Causal Congestion Graph for Intelligent Traffic Management,” In Proceedings of 3rd IEEE PerCom PerAwareCity, Athens, Greece, March 19-23, 2018.

12. [EUC’ 17] T. Kulshrestha, D. Saxena, R. Niyogi, D. Patel and M. Misra “An Improved Smartphone-based Non-Participatory Crowd Monitoring System in Smart Environments,” in 15th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, July 22-23, 2017, Guangzhou, China.

13. [ICDCN’ 17] D. Saxena, V. Raychoudhury, and C. Becker “Implementation and Performance Evaluation of Name based Forwarding Schemes in V-NDN,” In Proceedings of 18th ACM International Conference on Distributed Computing and Networking, pp. 35-38, January 4-7, 2017, Hyderabad, India.

14. [ICDCN’ 17] D. Saxena, V. Raychoudhury, and C. Becker “An NDNoT based Efficient Object Searching Scheme for Smart Home using RFIDs,” In Proceedings of 18th ACM International Conference on Distributed Computing and Networking, pp. 29-34, January 4-7, 2017, Hyderabad, India.

15. [EUC’ 16] (Invited paper) D. Saxena, V. Raychoudhury, C. Becker and N. Suri. “Reliable Memory Efficient Name Forwarding in Named Data Networking,” In Proc. of 14th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, 2016, Paris, France.

16. [MobiHoc MobileHealth’ 15] D. Saxena, V. Raychoudhury, and N. SriMahathi, "SmartHealth-NDNoT: Named Data Network of Things for Healthcare Services," In Proceedings of the ACM International Workshop on Pervasive Wireless Healthcare, pp. 45-50, June 22-25, 2015, Hangzhou, China.

17. [COMSNETS Social Networking’ 15] V. Raychoudhury, D. Saxena, M. Chaudhary, S. Mangla, “Shahbag Movement: The Tweeted Perspective,” In Proceedings of the 7th ACM International Workshop on Communication Systems and Networks-Social networking, January 6-10, 2015, Bangalore, India.

18. [EAIT’ 12] D. Saxena, A. Trivedi, and T. Kulshrestha, “An Advanced uplink scheduling at Subscriber Station for real time services in WiMAX," In Proceedings of the 3rd IEEE International Conference on Emerging Applications of Information Technology, ISI, Kolkata, India.

Teaching

• COMP 1011 Programming Fundamentals, 2021 []

• COMP 3438 System Programming, 2022, 2023 []

Professional Services

Reviewer

• AAAI 2026

• NeurIPS, 2025

• ACM MM, 2025

• IJCNN 2025, Meta reviewer and Reviewer

• WACV 2024

• DASFAA, PC member 2024

• Springer Nature Scientific  Reports

• IEEE Transactions on Artificial Intelligence (TAI)

• Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

• IEEE Transactions on Mobile Computing (TMC)

• ACM TIST

• IEEE TKDE

• ACM Computing Surveys (CSUR)

• IEEE Transactions on Systems, Man and Cybernetics (TSMC)

• IEEE Internet of Things (IoTJ)

• IEEE Communications Surveys & Tutorials

• IEEE Communications Magazine

• Elsevier - Journal of Network and Computer Applications (JNCA)

• Elsevier – Pervasive and Mobile Computing (PMC)

© Copyright 2025 Divya Saxena. Last updated: Aug 29, 2025.