1. Y. Zhang, J. Li, Y. Wang, D. Han, Y. Zhang, A. Shekhawat, and G. Trichopoulos, “RIS-CLA: Reviving CSI-based continuous location authentication with reconfigurable intelligent surfaces,” IEEE Symposium on Security and Privacy, San Francisco, CA, May 2026.
2. J. Li, Y. Zhang, D. Han, A. Li, T. Li, and Y. Zhang, “TagStroke: Stealthy keystroke inference via passive RFID arrays beneath keyboards,” IEEE International Conference on Computer Communications (INFOCOM), Tokyo, Japan, May 2026.
3. T. Ornee, A. Ghosh, and N. Shroff, “Online wireless scheduling for throughput maximization under unknown channel statistics,” IEEE International Conference on Computer Communications (INFOCOM), Tokyo, Japan, May 2026.
4. Q. Wei, R. Yu, X. Wang, D. Yang, and G. Xue, “ShardTree: An efficient cross-shard protocol via multi-party virtual payment channel”, IEEE International Conference on Computer Communications (INFOCOM), Tokyo, Japan, May 2026.
5. L. Cao, M. Shi, and N. Shroff, “Provably efficient multi-objective bandit algorithms under preference-centric customization,” Annual AAAI Conference on Artificial Intelligence (AAAI), Singapore, January 2026.
6. Y. Fu, A. Chiriyath, A. Herschfelt, and D. Bliss, “Subscription-based integrated 5G–radar tracking system with dynamic resource management using reinforcement learning,” IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, January 2026.
7. Z. Zhang, X. Lin, G. Xue, Y. Zhang, and K. Chan, “Multi-Hop relay-aided task offloading for tactical edge computing,” IEEE Military Communications Conference (MILCOM), Los Angeles, CA, USA, October 2025.
8. X. Lin, Z. Zhang, Z. Zhang, and G. Xue, “Dynamic flow routing and scheduling for time-critical network services,” IEEE Military Communications Conference (MILCOM), Los Angeles, CA, USA, October 2025.
9. C. Li, P. Ju, A. Eryilmaz, and N. Shroff, “Two levels are all you need: Simplifying data compression for timely edge classification,” ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), Houston, TX, USA, October 2025.
10. M. Abd-Elmagid, M. Shi, E. Ekici, and N. Shroff, “Online learning for optimizing AoI–energy tradeoff under unknown channel statistics,” ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), Houston, TX, USA, October 2025.
11. K. Alemdar, A. Ghosh, V. Chaudhary, N. Shroff, K. Chowdhury, “REMARKABLE: RIS-enabled mobile beamforming through kernelized bandit learning,” ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), Houston, TX, USA, October 2025.
12. Y. Liang, Y. Liang, L. Lai, and N. Shroff, “Discrete diffusion models: novel analysis and new sampler guarantees“, Conference and Workshop on Neural Information Processing Systems (NeurIPS), Mexico City, Mexico, November 2025.
13. A. Eastman and A. Papandreou-Suppappola, “Action selection methods to explore spectrum sharing environments using double Q-learning-while-tracking,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, October 2025.
14. A. Eastman, Y. Seo and A. Papandreou-Suppappola, “Dynamic adaptive inference with reinforcement learning in time-varying future generation sensing environments,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, October 2025.
15. Y. Xiong, C. Chakrabarti and A. Alkhateeb, “Low-cost and scalable zone-specific CSI feedback in FutureG Networks,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, October 2025.
16. Y. Seo, L.  Kaplan and A. Papandreou-Suppappola, “Tracking multiple objects with dynamic dependencies and merged measurements,”Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, October 2025.
17. P. Zhang, C. Chakrabarti, and A. Papandreou-Suppappola, “Feature-based learning for computationally-efficient estimation in high frequency time-varying spectrum-sharing environments,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, October 2025.
18. A. Almeajel, Y. Zhang, T. Li, and Y. Zhang, “mmRhythm: secure and usable user authentication for IoT devices based on hand-tapping patterns,” IEEE Miliary Communications Conference (MILCOM), Los Angeles, CA, October 2025.
19. Y. Xiong, C. Chakrabarti and A. Alkhateeb, “Low-cost and Scalable Zone-specific CSE Feedback in FutureG Networks,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, October 2025.
20. A. Akinwale, W. Gao, J. Li, A. Li, X. Shang, Y. Zhang, and D. Han, “Practical reflection manipulation on mmWave-based physical intrusion detection,” IEEE Conference on Communications and Network Security (CNS), Avignon, France, September 2025.
21. J. Li, “AI-Based RFID System Security and Privacy: Challenges and Solutions,” Ph.D. dissertation, Arizona State University, August 2025.
22. X. Chen, J. Li, D. Fan, and C. Chakrabarti, “HeteroSFL: Split federated learning with heterogeneous clients and non-IID data,” IEEE Internet of Things Journal, Vol. 12, Issue 15, August 2025.
23. Z. Zhao, Q. Chen, J. Li, D. Fan, and C. Chakrabarti, “TEE-SFL: Time and energy-efficient solution for addressing communication heterogeneity in split federated learning schemes,” International Symposium on Low Power Electronic System and Design (ISLPED), Reykjavík, Iceland, August 2025.
24. A. Roknilamouki, A. Ghosh, Mi. Shi, F. Nourzad, E. Ekici, and N. Shroff, “Provably efficient RL for linear MDPs under instantaneous safety constraints in non-convex feature spaces,” International Conference on Machine Learning (ICML), Vancouver, Canada, July 2025.
25. Y. Zheng, S. Seeam, Y. Hu, R. Zhang, and Y. Zhang, “Locally differentially private frequency estimation via joint randomized response,” Privacy Enhancing Technologies Symposium (PETS), Washington, DC, July 2025.
26. Z. Bi, A. Singha, H. Xue, T. Li, Y. Chen, and Y. Zhang, “Physical backdoor attacks against mmWave-based human activity recognition,” IEEE International Conference on Distributed Computing Systems (ICDCS), Glasgow, Scotland, UK, July 2025.
27. X. Wang, R. Yu, D. Yang, G. Xue, Q. Wei, H. Gu, and Z. Li, “Space booking: enabling performance-critical applications in broadband satellite networks”, IEEE International Conference on Distributed Computing Systems (ICDCS), Glasgow, UK, July 2025.
28. S. Doly, “Adaptive Waveform Co-Design for Integrated Sensing and Communications (ISAC),” Ph.D. dissertation, Arizona State University, July 2025.
29. Z. Luo, J. Liu, M. Lee, and N. Shroff, “Prediction-assisted online distributed deep learning workload scheduling in GPU clusters,” IEEE International Conference on Computer Communications (INFOCOM), London, UK, May 2025.
30. Y. Zhang, T. Li, and Y. Zhang, “GNN-SML: Graph neural network-based spectrum misuser localization,” IEEE International Conference on Computer Communications (INFOCOM), London, UK, May 2025.
31. P. Zhang, “Feature Based Learning for Computation-Efficient Estimation in High Frequency Time-varying Spectrum Sharing Environments,” M.S. thesis, Arizona State University, May 2025.
32. Y. Liang, P. Ju, Y. Liang, and N. Shroff, “Broadening target distributions for accelerated diffusion models via a novel analysis approach,” International Conference on Learning Representations (ICLR), Singapore, April 2025.
33. H. Li, S. Lin, L. Duan, Y. Liang, and N. Shroff, “Theory of mixture-of-experts in continual learning,” International Conference on Learning Representations (ICLR) (spotlight publication), Singapore, April 2025.
34. Y. Li, P. Ju, and N. Shroff, “How to find the exact Pareto front for multi-objective MDPs?” International Conference on Learning Representations (ICLR), Singapore, April 2025.
35. L. Gold, F. Laursen, K. Pandya, K. Powell, and R. LiKamWa, “Common ground: Establishing group awareness for cross-virtuality collaborative geospatial analysis,” IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Saint Malo, France, March 2025.
36. M. Zhang, Z. Zheng, and N. Shroff, “Artificial intelligence of things: A survey,” ACM Transactions on Sensor Networks, vol. 21, no. 1, January 2025.
37. Y. Fu, A. Chiriyath, and D. Bliss, “Subscription-based joint 5G–radar system design and analysis,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, October 2024.
38. Y. Seo, B. Moraffah, and A. Papandreaou-Suppappola, “Multiple target tracking in unknown and time-varying measurement noise intensity,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, October 2024.
39. A Eastman and A. Papandreou-Suppappola, “Sequential reinforcement learning-based waveform adaptation for dynamic decision-making in tracking,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, October 2024.
40. M. Shi, Y. Liang, and N. Shroff, “Designing near-optimal partially observable reinforcement learning,” IEEE Military Communications Conference (MILCOM), Washington, DC, USA, October 2024.
41. X. Lin, Z. Zhang, Y. Wang, E. Teo, G. Xue, and Y. Zhang, “Most vulnerable attack trace in a probabilistic attack graph,” IEEE Military Communications Conference (MILCOM), Washington, DC, October 2024.
42. Z. Zhang, X. Lin, G. Xue, Y. Zhang, and K. Chan, “Joint optimization of task offloadingand resource allocation in tactical edge networks,” IEEE Military Communications Conference (MILCOM), Washington, DC, October 2024.
43. X. Wang, R. Yu, D. Yang, and G. Xue, “Infiltrating the sky: data delay and overflow attacks in earth observation constellations”, IEEE International Conference on Network Protocols (ICNP), Charleroi, Belgium, October 2024.
44. Y. Zhang, J. Li, D. Han, and Y. Zhang, “W-MIA: Membership inference attack against deep learning-based RF fingerprinting,” IEEE Conference on Communications and Network Security (CNS), Taipei, Taiwan, September 2024.
45. D. Han, A. Li, J. Li, Y. Zhang, T. Li, and Y. Zhang, “WaveKey: Secure mobile ad hoc access to RFID-protected systems,” IEEE International Conference on Distributed Computing Systems (ICDCS), Jersey City, New Jersey, USA, July 2024.
46. A. Ghosh, X. Zhou, and N. Shroff, “Towards achieving sub-linear regret and hard constraint violation in model-free reinforcement learning,” International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, May 2024.
47. P. Ju, A. Ghosh, and N. Shroff, “Achieving fairness in multi-agent MDP using reinforcement learning,” International Conference on Learning Representations (ICLR), Vienna, Austria, May 2024.
48. Y. Li, P. Ju, and N. Shroff, “Achieving sample and computational efficient reinforcement learning by action space reduction via grouping,” International Conference on Learning Representations (ICLR), Vienna, Austria, May 2024.
49. A. Singha, Z. Bi, T. Li, Y. Chen, and Y. Zhang, “Securing contrastive mmWave-based human activity recognition against adversarial label flipping,” ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec), Seoul, Korea, May 2024.
50. J. Wen, L. Gold, Q. Ma, and R. LiKamWa, “Augmented coach: Volumetric motion annotation and visualization for immersive sports coaching,” IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Orlando, FL, USA, March 2024.
51. S. Doly, G. Gubash, M. Heino, A. Chiriyath, and D. Bliss, “Real-time FMCW radar system for waveform optimization using SDRs,” GNU Radio Conference, Knoxville, TN, USA, September 2024.
52. S. Doly, A. Chiriyath, A. Herschfelt, M. Azam, S. Ragi, and D. Bliss, “Decentralized waveform co-design for integrated sensing and communications systems via approximate dynamic programming,” IEEE Consumer Communications & Networking Conference (CCNC), Los Vegas, NV, USA, January 2024.
53. A. Eastman, “Reinforcement Learning-Based Waveform Design under Time-Varying Weather Conditions,” M.S. thesis, Arizona State University, December 2023.
54. S. Lin, D. Sow, K. Ji, Y. Liang, and N. Shroff, “Non-convex bilevel optimization with time-varying objective functions,” Conference and Workshop on Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA, December 2023.
55. S. Doly, A. Chiriyath, W. Standage-Beier, and D. Bliss, “GNU radio realization of waveform co-design for joint radar–communications system using SDRs,” GNU Radio Conference, Tempe, AZ, USA, September 2023.