Publications



Books and Chapters

  1. S.-L. Huang, A. Makur, G.W. Wornell, and L. Zheng, “Universal Features for High-Dimensional Learning and Inference,” Foundations and Trends in Communications and Information Theory, Now Publishers, Boston – Delft, 2024.

  2. Age of Information: Foundations and Applications, Cambridge University Press, 2023, edited by N. Pappas, M. Abdel-Magid, B. Zhou, W. Saad, and H. Dhillon.

  3. Foundations of Semantic Communication Networks, John Wiley & Sons, 2024, edited by W. Saad, C. Chaccour, C.K. Thomas, and M. Debbah.

  4. B. Li, B. Ji, and A. Eryilmaz, “Age-Efficient Scheduling in Communication Networks,” in Age of Information: Foundations and Applications, Cambridge University Press, 2023, edited by N. Pappas, M. Abdel-Magid, B. Zhou, W. Saad, and H. Dhillon.

Journal Articles

  1. S. Acharya, S. Li, Y. Wu, N. Jiang, W. Lou, and Y.T. Hou, “A Spectrum-Efficient Solution with Data Rate Guarantees in 5G/Next-G Networks,” IEEE Internet of Things Journal, 2025 (to appear).

  2. S. Li, N. Jiang, C. Li, S. Acharya, Y. Wu, W. Xie, W. Lou, and Y.T. Hou, “Real-time MU-MIMO Beamforming with Limited Channel Samples in 5G Networks,” IEEE Transactions on Mobile Computing, 2025 (to appear).

  3. S. Acharya, S. Li, N. Jiang, Y. Wu, W. Xie, W. Lou, and Y.T. Hou, “Real-Time Scheduling for GAA Users’ Coexistence in CBRS Using O-RAN Architecture,” IEEE Transactions on Cognitive Communications and Networking, 2025 (to appear).

  4. S. Acharya, S. Li, Y. Wu, N. Jiang, W. Xie, W. Lou, and Y.T. Hou, “A New Approach to Tackle Channel Uncertainty with Limited Data Samples,” IEEE Wireless Communications, 2025 (to appear).

  5. Z. Liu, K. Zhang, B. Li, Y. Sun, Y.T. Hou, and B. Ji, “Learning-augmented Online Minimization of Age of Information and Transmission Costs,” IEEE Transactions on Network Science and Engineering, vol. 12, no. 5, pp. 3480–3496, Sep.–Oct. 2025.

  6. C. Li, S. Li, Q. Liu, Y.T. Hou, W. Lou, and S. Kompella, “Eywa: A General Framework for Scheduler Design in AoI Optimization,” IEEE Internet of Things Journal, vol. 12, no. 14, pp. 26255–26269, July 2025.

  7. N. Jai, Y. Shi, M. Olfat, J.H. Reed, L. DaSilva, W. Lou, and Y.T. Hou, “An Optimized Move List for Dynamic Protection Area in CBRS,” IEEE Transactions on Cognitive Communications and Networking, vol. 11, no. 3, pp. 1382–1396, June 2025.

  8. C. Li, Q. Liu, S. Li, Y. Chen, Y.T. Hou, W. Lou, and S. Kompella, “Scheduling with Soft Age of Information Deadlines,” IEEE Internet of Things Journal, vol. 12, no. 6, pp. 7133–7148, Mar. 2025.

  9. Y. Wu, Y. Shi, Y.T. Hou, W. Lou, J.H. Reed, and L.A. DaSilva, “R3: A Real-time Robust MU-MIMO Scheduler for O-RAN,” IEEE Transactions on Wireless Communications, vol. 23, no. 11, pp. 17727–17743, Nov. 2024.

  10. Q. Liu, C. Li, S. Li, Y. Shi, B. Zhou, Y.T. Hou, and W. Lou, “Pistis: A Scheduler to Achieve Ultra Reliability for URLLC Traffic in 5G O-RAN,” IEEE Internet of Things Journal, vol. 11, no. 21, pp. 35405–35419, Nov. 2024.

  11. S. Li, N. Jiang, Y. Chen, W. Xie, W. Lou, and Y.T. Hou, “MU-MIMO Beamforming with Limited Channel Data Samples,” IEEE Journal on Selected Areas in Communications, vol. 42, no. 11, pp. 3032–3047, Nov. 2024.

  12. C. Li, Q. Liu, Y.T. Hou, W. Lou, and S. Kompella, “Aequitas: A 5G Scheduler for Minimizing Outdated Information in IoT Networks,” IEEE Internet of Things Journal, vol. 11, no. 13, pp. 23322–23335, July 2024.

  13. Y. Chen, Y.T. Hou, W. Lou, J.H. Reed, and S. Kompella, “O-M3: Real-Time Multi-Cell MIMO Scheduling in 5G O-RAN,” IEEE Journal on Selected Areas in Communications, vol. 42, no. 2, pp. 339–355, Feb. 2024.

  14. Q. Liu, C. Li, Y.T. Hou, W. Lou, J.H. Reed, and S. Kompella, “Aion: A Bandwidth Conserving Scheduler with Data Freshness Guarantee,” IEEE Transactions on Mobile Computing, vol. 23, no. 1, pp. 102–116, Jan. 2024.

  15. Y. Chen, Y. Wu, Y.T. Hou, and W. Lou, “mCore+: A Real-Time Design Achieving ~500 μs Scheduling for 5G MU-MIMO Systems,” IEEE Transactions on Mobile Computing, vol. 22, no. 12, pp. 7249–7265, Dec. 2023.

  16. Z. Liu, B. Li, Z. Zheng, Y.T. Hou, and B. Ji, “Towards Optimal Tradeoff Between Data Freshness and Update Cost in Information-update Systems,” IEEE Internet of Things Journal, vol. 10, no. 16, pp. 13988–14002, Aug. 2023.

  17. P.K. Sangdeh, C. Li, H. Pirayesh, S. Zhang, H. Zeng, and Y.T. Hou, “CF4FL: A Communication Framework for Federated Learning in Transportation Systems,” IEEE Transactions on Wireless Communications, vol. 22, no. 6, pp. 3821–3836, June 2023.

  18. Q. Liu, C. Li, Y.T. Hou, W. Lou, J.H. Reed, and S. Kompella, “Wireless Scheduling to Optimize Age of Information based on Earliest Update Time,” IEEE Internet of Things Journal, vol. 10, no. 7, pp. 6352–6366, Apr. 2023.

  19. S. Li, C. Li, Y. Huang, B. Jalaian, Y.T. Hou, and W. Lou, “Enhancing Resilience in Mobile Edge Computing under Processing Uncertainty,” IEEE Journal on Selected Areas in Communications, vol. 41, no. 3, pp. 659–674, Mar. 2023.

  20. C. Li, Q. Liu, S. Li, Y. Chen, Y.T. Hou, W. Lou, and S. Kompella, “Scheduling with Age of Information Guarantee,” IEEE/ACM Transactions on Networking, vol. 30, no. 5, pp. 2046–2059, Oct. 2022.

  21. C. Li, Y. Huang, S. Li, Y. Chen, B. Jalaian, Y.T. Hou, W. Lou, J.H. Reed, and S. Kompella, “Minimizing AoI in a 5G-based IoT Network under Varying Channel Conditions,” IEEE Internet of Things Journal, vol. 8, no. 19, pp. 14543–14558, Oct. 2021.

  22. C. Li, S. Li, Y. Chen, Y.T. Hou, and W. Lou, “Minimizing Age of Information under General Models for IoT Data Collection,” IEEE Transactions on Network Science and Engineering, vol. 7, no. 4, pp. 2256–2270, Dec. 2020.

  23. X. Xu and L. Zheng, “Neural Feature Learning in Function Space,” Journal of Machine Learning Research (JMLR), vol. 25, no. 142, 76 pages, Jan. 2024.

  24. S. Jere, R. Safavinejad, L. Zheng, and L. Liu, “Channel Equalization Through Reservoir Computing: A Theoretical Perspective,” IEEE Transactions on Wireless Communications, vol. 12, no. 5, pp. 774–778, May 2023.

  25. X. Xu, S.-L. Huang, L. Zheng, and others, “An Information Theoretic Interpretation to Deep Neural Networks,” Entropy, vol. 24, no. 1, 28 pages, Jan. 2022.

  26. S.-L. Huang, X. Xu, and L. Zheng, “An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data,” IEEE Journal on Selected Areas in Information Theory, vol. 1, no. 1, pp. 157–166, May 2020.

  27. J. Xu, K. Said, L. Zheng, and L. Liu, “2D-RC: Two-Dimensional Neural Network Approach for OTFS Symbol Detection,” IEEE Transactions on Wireless Communications, vol. 23, no. 12, pp. 17825–17840, Dec. 2024.

  28. G. Quan, J. Tan, and A. Eryilmaz, “Counterintuitive Characteristics of Optimal Distributed LRU Caching Over Unreliable Channels,” IEEE/ACM Transactions on Networking, vol. 28, no. 6, pp. 2461–2474, Dec. 2020.

  29. B. Abolhassani, J. Tadrous, and A. Eryilmaz, “Delay Gain Analysis of Wireless Multicasting for Content Distribution,” IEEE/ACM Transactions on Networking, vol. 29, no. 2, pp. 529–542, Apr. 2021.

  30. G. Quan, A. Eryilmaz, J. Tan, and N. Shroff, “Prefetching and Caching for Minimizing Service Costs: Optimal and Approximation Strategies,” ACM SIGMETRICS Performance Evaluation Review, vol. 48, no. 3, pp. 77–78, Mar. 2021.

  31. B. Abolhassani, J. Tadrous, A. Eryilmaz, and E. Yeh, “Fresh Caching of Dynamic Content Over the Wireless Edge,” IEEE/ACM Transactions on Networking, vol. 30, no. 5, pp. 2315–2327, Oct. 2022.

  32. S. Kang, A. Eryilmaz, and N.B. Shroff, “Remote Tracking of Distributed Dynamic Sources Over a Random Access Channel With One-Bit Updates,” IEEE Transactions on Network Science and Engineering, vol. 10, no. 4, pp. 1931–1941, July–Aug. 2023.

  33. X. Zhou, I. Koprulu, A. Eryilmaz, and M.J. Neely, “Efficient Distributed MAC for Dynamic Demands: Congestion and Age Based Designs,” IEEE/ACM Transactions on Networking, vol. 31, no. 1, pp. 74–87, Feb. 2023.

  34. B. Abolhassani, J. Tadrous, and A. Eryilmaz, “Optimal Load-Splitting and Distributed-Caching for Dynamic Content Over the Wireless Edge,” IEEE/ACM Transactions on Networking, vol. 31, no. 5, pp. 2178–2190, Oct. 2023.

  35. J. Yun, A. Eryilmaz, J. Moon, and C. Joo, “Remote Estimation for Dynamic IoT Sources Under Sublinear Communication Costs,” IEEE/ACM Transactions on Networking, vol. 32, no. 2, pp. 1333–1345, Apr. 2024.

  36. S. Kang, A. Eryilmaz, and C. Joo, “Comparison of Decentralized and Centralized Update Paradigms for Distributed Remote Estimation,” IEEE/ACM Transactions on Networking, vol. 32, no. 2, pp. 1839–1853, Apr. 2024.

  37. B. Abolhassani, J. Tadrous, A. Eryilmaz, and S. Yüksel, “Optimal Push and Pull-Based Edge Caching for Dynamic Content,” IEEE/ACM Transactions on Networking, vol. 32, no. 4, pp. 2765–2777, Aug. 2024.

  38. G. Quan, A. Eryilmaz, and N.B. Shroff, “Minimizing Edge Caching Service Costs Through Regret-Optimal Online Learning,” IEEE/ACM Transactions on Networking, vol. 32, no. 5, pp. 4349–4364, Oct. 2024.

  39. G. Quan, A. Eryilmaz, and N.B. Shroff, “Optimal Edge Caching for Individualized Demand Dynamics,” IEEE/ACM Transactions on Networking, vol. 32, no. 4, pp. 2826–2841, Aug. 2024.

  40. Y. Zheng, S. Cayci, and A. Eryilmaz, “Fast Online Learning of Vulnerabilities for Networks With Propagating Failures,” IEEE/ACM Transactions on Networking, vol. 32, no. 5, pp. 4025–4039, Oct. 2024.

  41. X. Zhou, I. Koprulu, and A. Eryilmaz, “Age-Based Multi-Channel-Scheduling Under Constraints: Optimal and Online Designs,” IEEE/ACM Transactions on Networking, 2025 (to appear).

  42. C.K. Thomas and W. Saad, “Neuro-symbolic causal reasoning meets signaling game for emergent semantic communications,” IEEE Transactions on Wireless Communications, vol. 23, no. 5, pp. 4546–4563, May 2024.

  43. A. Ferdowsi, M.A. Abd-Elmagid, W. Saad, and H.S. Dhillon, “Neural Combinatorial Deep Reinforcement Learning for Age-optimal Joint Trajectory and Scheduling Design in UAV-assisted Networks,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 5, pp. 1250–1265, May 2021.

  44. M. Chen, H.V. Poor, W. Saad, and S. Cui, “Convergence Time Optimization for Federated Learning over Wireless Networks,” IEEE Transactions on Wireless Communications, vol. 20, no. 4, pp. 2457–2471, Apr. 2021.

  45. T. Park, B. Zhou, and W. Saad, “Centralized and Distributed Age of Information Minimization with Non-linear Aging Functions in the Internet of Things,” IEEE Internet of Things Journal, vol. 8, no. 10, pp. 8437–8455, May 2021.

  46. M. Kim, S. Lee, C. Park, J. Lee, and W. Saad, “Ensuring Data Freshness for Blockchain-enabled Monitoring Networks,” IEEE Internet of Things Journal, vol. 9, no. 12, pp. 9775–9788, Jun. 2022.

  47. S. Wang, M. Chen, Z. Yang, C. Yin, W. Saad, S. Cui, and H.V. Poor, “Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems,” IEEE Journal on Selected Topics in Signal Processing, vol. 16, no. 3, pp. 501–515, Apr. 2022.

  48. T. Zeng, O. Semiari, M. Chen, W. Saad, and M. Bennis, “Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles,” IEEE Transactions on Wireless Communications, vol. 21, no. 12, pp. 10407–10423, Dec. 2022.

  49. C. Zhang, H. Zou, S. Lasaulce, W. Saad, M. Kountouris, and M. Bennis, “Goal-Oriented Communications for the IoT and Application to Data Compression,” IEEE Internet of Things Magazine, vol. 5, no. 4, pp. 58–63, Dec. 2022.

  50. M.K. Farshbafan, W. Saad, and M. Debbah, “Curriculum Learning for Goal-Oriented Semantic Communications With a Common Language,” IEEE Transactions on Communications, vol. 71, no. 3, pp. 1430–1446, Mar. 2023.

  51. T. Zeng, O. Semiari, W. Saad, and M. Bennis, “Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM),” IEEE Transactions on Wireless Communications, vol. 22, no. 11, pp. 7902–7916, Nov. 2023.

  52. A. Pourranjbar, G. Kaddoum, and W. Saad, “Recurrent-Neural-Network-Based Anti-Jamming Framework for Defense Against Multiple Jamming Policies,” IEEE Internet of Things Journal, vol. 10, no. 10, pp. 8799–8811, May 2023.

  53. M. Chehimi, K. Goodenough, W. Saad, D. Towsley, and T.X. Zhou, “Entanglement Distribution Delay Optimization in Quantum Networks with Distillation,” IEEE Journal on Selected Areas in Communications, vol. 43, no. 5, pp. 1871–1886, May 2025.

  54. C. Chaccour, W. Saad, M. Debbah, Z. Han, and H.V. Poor, “Less data, more knowledge: Building next-generation semantic communication networks,” IEEE Communications Surveys & Tutorials, vol. 27, no. 1, pp. 37–76, Feb. 2025.

  55. B. Zhou and W. Saad, “Minimum Age of Information in the Internet of Things with Non-uniform Status Packet Sizes,” IEEE Transactions on Wireless Communications, vol. 19, no. 3, pp. 1933–1947, Mar. 2020.

  56. M. Abdel-Aziz, S. Samarakoon, M. Bennis, and W. Saad, “Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach,” IEEE Communications Letters, vol. 24, no. 2, pp. 367–370, Feb. 2020.

  57. N. Wang, Y. Chen, Y. Xiao, Y. Hu, W. Lou, and Y.T. Hou, “MANDA: On Adversarial Example Detection for Network Intrusion Detection System,” IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 2, pp. 1139–1153, Mar.–Apr. 2023.

  58. N. Wang, S. Shi, Y. Chen, W. Lou, and Y.T. Hou, “FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning,” IEEE Transactions on Dependable and Secure Computing, vol. 22, no. 4, pp. 4215–4230, Jul.–Aug. 2025, doi: 10.1109/TDSC.2025.3544106.

  59. N. Wang, C. Zhang, Y. Xiao, Y. Chen, W. Lou, and Y.T. Hou, “FLARE: Defending Federated Learning Against Model Poisoning Attacks via Latent Space Representations,” IEEE Transactions on Dependable and Secure Computing, vol. 22, no. 3, pp. 2607–2623, May–Jun. 2025, doi: 10.1109/TDSC.2024.3521297.

  60. J. Sabzehali, V.K. Shah, Q. Fan, B. Choudhury, L. Liu, and J.H. Reed, “Optimizing Number, Placement, and Backhaul Connectivity of Multi-UAV Networks,” IEEE Internet of Things Journal, vol. 9, no. 21, pp. 21548–21560, Nov. 2022.

    61. Conference Papers

    1. S. Acharya, S. Li, W. Lou, and Y.T. Hou, “Savitar: A Multi-Timescale Spectrum-Efficient Scheduler for O-RAN,” in Proc. 34th Int. Conf. on Computer Communications and Networks (ICCCN), Aug. 4–7, 2025, Tokyo, Japan.

    2. S. Acharya, S. Li, Y. Wu, N. Jiang, W. Lou, and Y.T. Hou, “Rudra: An Algorithm for Optimizing Spectrum Efficiency with Data Rate Guarantee in Next-G Communications,” in Proc. IEEE Military Communications Conference (MILCOM), pp. 1130–1137, Oct. 28–Nov. 1, 2024, Washington, DC, USA.

    3. B. Abolhassani, A. Eryilmaz, and Y.T. Hou, “Model-Based and Model-Free Learning-Based Caching for Dynamic Content,” in Proc. IEEE Military Communications Conference (MILCOM), pp. 721–727, Oct. 28–Nov. 1, 2024, Washington, DC, USA.

    4. E. Ghoreishi, B. Abolhassani, Y. Huang, S. Acharya, W. Lou, and Y.T. Hou, “Cyrus: A DRL-based Puncturing Solution to URLLC/eMBB Multiplexing in O-RAN,” (invited paper), in Proc. 33rd Int. Conf. on Computer Communications and Networks (ICCCN), July 29–31, 2024, Big Island, HI, USA.

    5. S. Li, N. Jiang, C. Li, Y.T. Hou, W. Lou, and W. Xie, “ReDBeam: Real-time MU-MIMO Beamforming with Limited CSI Data Samples,” in Proc. IEEE Int. Conf. on Communications (ICC), pp. 5104–5110, June 9–13, 2024, Denver, CO, USA.

    6. N. Jai, Y. Shi, M. Olfat, J.H. Reed, L. DaSilva, W. Lou, and Y.T. Hou, “An Optimized Move List for DPA in CBRS,” in Proc. IEEE Int. Symp. on Dynamic Spectrum Access Networks (DySPAN), pp. 88–96, May 13–16, 2024, Washington, DC, USA.

    7. Q. Liu, C. Li, Y.T. Hou, W. Lou, and S. Kompella, “Age of Critical Information: Optimizing Data Freshness Based on Content Criticality,” in Proc. IEEE Military Communications Conference (MILCOM), pp. 747–754, Oct. 30–Nov. 3, 2023, Boston, MA, USA.

    8. S. Acharya, S. Li, N. Jiang, Y. Wu, Y.T. Hou, W. Lou, and W. Xie, “Mitra: An O-RAN based Real-Time Solution for Coexistence between General and Priority Users in CBRS,” in Proc. 20th IEEE Int. Conf. on Mobile Ad-Hoc and Smart Systems (MASS), pp. 295–303, Sep. 25–27, 2023, Toronto, Canada.

    9. C. Li, S. Li, Q. Liu, Y.T. Hou, W. Lou, and S. Kompella, “Eywa: A General Approach for Scheduler Design in AoI Optimization,” in Proc. IEEE INFOCOM, May 17–20, 2023, New York, NY, USA.

    10. C. Li, Q. Liu, S. Li, Y.T. Hou, W. Lou, and S. Kompella, “Aequitas: A Uniformly Fair 5G Scheduler for Minimizing Outdated Information,” in Proc. 19th IEEE Int. Conf. on Mobile Ad-Hoc and Smart Systems (MASS), pp. 180–187, Oct. 20–22, 2022, Denver, CO, USA.

    11. Z. Liu, B. Li, Z. Zheng, Y.T. Hou, and B. Ji, “Towards Optimal Tradeoff Between Data Freshness and Update Cost in Information-update Systems,” in Proc. 31st Int. Conf. on Computer Communications and Networks (ICCCN), July 25–28, 2022, virtual conference.

    12. Y. Chen, Y.T. Hou, W. Lou, J.H. Reed, and S. Kompella, “M3: A Sub-Millisecond Scheduler for Multi-Cell MIMO Networks under C-RAN Architecture,” in Proc. IEEE INFOCOM, pp. 130–139, May 2–5, 2022, virtual conference.

    13. Q. Liu, C. Li, Y.T. Hou, W. Lou, J.H. Reed, and S. Kompella, “Ao2I: Minimizing Age of Outdated Information to Improve Freshness in Data Collection,” in Proc. IEEE INFOCOM, pp. 1359–1368, May 2–5, 2022, virtual conference.

    14. B. Choudhury, V.K. Shah, A. Ferdowsi, J.H. Reed, and Y.T. Hou, “AoI-minimizing Scheduling in UAV-relayed IoT Networks,” in Proc. IEEE Int. Conf. on Mobile Ad-Hoc and Smart Systems (MASS), pp. 117–126, Oct. 4–7, 2021, virtual conference.

    15. S. Li, Y. Huang, C. Li, B.A. Jalaian, Y.T. Hou, and W. Lou, “Task Offloading with Uncertain Processing Cycles,” in Proc. ACM Int. Symp. on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), pp. 51–60, July 26–29, 2021, Shanghai, China.

    16. C. Li, Q. Liu, S. Li, Y. Chen, Y.T. Hou, and W. Lou, “On Scheduling with AoI Violation Tolerance,” in Proc. IEEE INFOCOM, May 10–13, 2021, virtual conference.

    17. Q. Liu, C. Li, Y.T. Hou, W. Lou, and S. Kompella, “Aion: A Bandwidth Optimized Scheduler with AoI Guarantee,” in Proc. IEEE INFOCOM, May 10–13, 2021, virtual conference.

    18. C. Li, S. Li, Y. Chen, Y.T. Hou, and W. Lou, “AoI Scheduling with Maximum Thresholds,” in Proc. IEEE INFOCOM, pp. 436–445, July 6–9, 2020, virtual conference.

    19. J.J. Ryu, X. Xu, H.S. Erol, Y. Bu, L. Zheng, and G.W. Wornell, “Operator SVD with Neural Networks via Nested Low-Rank Approximation,” in Proc. Int. Conf. on Machine Learning (ICML), pp. 42870–42905, July 21–27, 2024, Vienna, Austria.

    20. H.S.M. Erol, E. Sula, and L. Zheng, “On Semi-Supervised Estimation of Distributions,” in Proc. IEEE Int. Symp. on Information Theory (ISIT), pp. 1866–1871, June 25–30, 2023, Taipei, Taiwan.

    21. X. Xu, L. Zheng, and I. Agrawal, “Kernel Subspace and Feature Extraction,” in Proc. IEEE Int. Symp. on Information Theory (ISIT), pp. 1032–1037, June 25–30, 2023, Taipei, Taiwan.

    22. I.-H. Hou, N.Z. Naghsh, S. Paul, Y.C. Hu, and A. Eryilmaz, “Predictive Scheduling for Virtual Reality,” in Proc. IEEE INFOCOM, pp. 1349–1358, July 6–9, 2020, Toronto, ON, Canada.

    23. B. Li, A. Eryilmaz, and R. Srikant, “Emulating Round-Robin for Serving Dynamic Flows over Wireless Fading Channels,” in Proc. ACM MobiHoc, pp. 231–240, Oct. 11–14, 2020, Virtual Conference.

    24. B. Abolhassani, J. Tadrous, and A. Eryilmaz, “Achieving Freshness in Single/Multi-User Caching of Dynamic Content Over the Wireless Edge,” in Proc. WiOpt, 8 pages, June 15–19, 2020, Volos, Greece.

    25. H. Kesavareddigari and A. Eryilmaz, “Optimal Decisions of a Rational Agent in the Presence of Biased Information Providers,” in Proc. WiOpt, 8 pages, June 15–19, 2020, Volos, Greece.

    26. G. Quan, J. Tan, A. Eryilmaz, and N. Shroff, “Prefetching and Caching for Minimizing Service Costs: Optimal and Approximation Strategies,” in Proc. IFIP Performance, 6 pages, Nov. 2–6, 2020, Milano, Italy.

    27. S. Cayci, S. Gupta, and A. Eryilmaz, “Group-Fair Online Allocation in Continuous Time,” in Proc. NeurIPS, pp. 13750–13761, Dec. 6–12, 2020, Virtual Conference.

    28. J. Yun, A. Eryilmaz, and C. Joo, “Remote Tracking of Dynamic Sources under Sublinear Communication Costs,” in Proc. IEEE INFOCOM AoI Workshop, 6 pages, May 10–13, 2021, Vancouver, BC, Canada.

    29. S. Kang, A. Eryilmaz, and C. Joo, “Comparison of Decentralized and Centralized Update Paradigms for Remote Tracking of Distributed Dynamic Sources,” in Proc. IEEE INFOCOM, 10 pages, May 10–13, 2021, Vancouver, BC, Canada.

    30. B. Abolhassani, J. Tadrous, A. Eryilmaz, and E. Yeh, “Fresh Caching for Dynamic Content,” in Proc. IEEE INFOCOM, 10 pages, May 10–13, 2021, Vancouver, BC, Canada.

    31. B. Abolhassani, J. Tadrous, and A. Eryilmaz, “Optimal Load-Splitting and Distributed-Caching for Dynamic Content,” in Proc. WiOpt, 8 pages, Oct. 18–21, 2021, Philadelphia, PA, USA.

    32. X. Zhou, I. Koprulu, A. Eryilmaz, and M. Neely, “Low-Overhead Distributed MAC for Serving Dynamic Users over Multiple Channels,” in Proc. WiOpt, 8 pages, Oct. 18–21, 2021, Philadelphia, PA, USA.

    33. S. Kang, A. Eryilmaz, and N.B. Shroff, “Remote Tracking of Distributed Dynamic Sources Over a Random Access Channel With One-Bit Updates,” in Proc. WiOpt, 8 pages, Oct. 18–21, 2021, Philadelphia, PA, USA.

    34. X. Zhou, I. Koprulu, and A. Eryilmaz, “Age-Optimal Multi-Channel-Scheduling Under Energy and Tolerance Constraints,” in Proc. IEEE INFOCOM AoI Workshop, 8 pages, May 17–20, 2023, New York, USA.

    35. Z. Shi, Y. Zheng, and A. Eryilmaz, “A Bayesian Framework for Online Nonconvex Optimization over Distributed Processing Networks,” in Proc. IEEE INFOCOM, 10 pages, May 17–20, 2023, New York, USA.

    36. X. Zhou, I. Koprulu, and A. Eryilmaz, “Exploring the Tradeoff Between Age-of-Information and Synchronization over Broadcast Channels,” in Proc. WiOpt, pp. 302–309, Aug. 24–27, 2023, Singapore, Singapore.

    37. S. Cayci and A. Eryilmaz, “Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards,” in Proc. NeurIPS, 19 pages, Dec. 10–16, 2023, New Orleans, LA, USA.

    38. S. Kang, C. Li, A. Eryilmaz, and N. Shroff, “Balancing Current and Historical State Information in Remote Tracking Systems: A Randomized Update Approach,” in Proc. IEEE INFOCOM ASoI Workshop, 6 pages, May 20–23, 2024, Vancouver, BC, Canada.

    39. B. Abolhassani, A. Eryilmaz, and T. Hou, “Model-Based and Model-Free Learning-Based Caching for Dynamic Content,” in Proc. IEEE MILCOM, 7 pages, Oct. 28–Nov. 1, 2024, Washington, DC, USA.

    40. C. Li, P. Ju, A. Eryilmaz, and N. Shroff, “Efficient Multi-dimensional Compression for Network-edge Classification,” in Proc. ACM MobiHoc, pp. 91–100, Oct. 14–17, 2024, Athens, Greece.

    41. X. Wang, X. Wu, Y. Sun, A. Eryilmaz, and B. Li, “Optimal Real-Time Synchronized Scheduling for Collaborative Content Delivery,” in Proc. IEEE INFOCOM, 10 pages, May 19–22, 2025, London, United Kingdom.

    42. X. Zhou, I. Koprulu, and A. Eryilmaz, “Novel Drift-Based Design and Analysis for Synchronized and Fresh Communication over Broadcast Channels,” in Proc. IEEE INFOCOM, 10 pages, May 19–22, 2025, London, United Kingdom.

    43. M. Chen, H.V. Poor, W. Saad, and S. Cui, “Convergence Time Minimization of Federated Learning over Wireless Networks,” in Proc. IEEE Int. Conf. on Communications (ICC), Cognitive Radio and AI-Enabled Networks Symposium, 6 pages, June 7–11, 2020, Dublin, Ireland.

    44. B. Zhou and W. Saad, “Age of Information in Ultra-Dense IoT Systems with Noisy Channels: With and Without Feedback,” in Proc. IEEE Int. Conf. on Communications (ICC), Communication Theory Symposium, 6 pages, June 14–23, 2021, Montreal, Canada.

    45. B. Zhou and W. Saad, “On the Age of Information in Internet of Things Systems with Correlated Devices,” in Proc. IEEE Global Communications Conf. (GLOBECOM), Communication Theory Symposium, 6 pages, Dec. 7–11, 2020, Taipei, Taiwan.

    46. C. Chaccour and W. Saad, “On the Ruin of Age of Information in Augmented Reality over Wireless Terahertz (THz) Networks,” in Proc. IEEE Global Communications Conf. (GLOBECOM), Communication QoS, Reliability and Modeling Symposium, 6 pages, Dec. 7–11, 2020, Taipei, Taiwan.

    47. M. Karimzadeh, W. Saad, and M. Debbah, “Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework,” in Proc. IEEE Int. Conf. on Communications (ICC), 6 pages, May 16–20, 2022, Seoul, South Korea.

    48. T. Zeng, O. Semiari, W. Saad, and M. Bennis, “Performance Analysis of Aircraft-to-Ground Communication Networks in Urban Air Mobility (UAM),” in Proc. IEEE Global Communications Conf. (GLOBECOM), 6 pages, Dec. 7–11, 2021, Madrid, Spain.

    49. B. Zhou and W. Saad, “Age of Information in Ultra-Dense Computation-Intensive Internet of Things (IoT) Systems,” in Proc. Int. Symp. on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 8 pages, Oct. 18–21, 2021, Philadelphia, PA, USA.

    50. T. Park, W. Saad, and B. Zhou, “On the Minimization of Non-Linear Age of Information in the Internet of Things,” in Proc. IEEE Int. Conf. on Communications (ICC), 6 pages, June 14–23, 2021, Montreal, QC, Canada.

    51. C.K. Thomas, E.C. Strinati, and W. Saad, “Reasoning with the Theory of Mind for Pragmatic Semantic Communication,” in Proc. IEEE Consumer Communications & Networking Conf. (CCNC), pp. 662–668, Jan. 6–9, 2024, Las Vegas, NV, USA.

    52. C.K. Thomas and W. Saad, “Neuro-Symbolic Artificial Intelligence (AI) for Intent-based Semantic Communication,” in Proc. IEEE Global Communications Conf. (GLOBECOM), pp. 2698–2703, Dec. 4–8, 2022, Rio de Janeiro, Brazil.

    53. R. Vera-Amaro, M. Burke, and W. Saad, “Coordinated UAVs for Effective Payload Delivery,” in Proc. IEEE Global Communications Conf. (GLOBECOM), pp. 3718–3723, Dec. 4–8, 2022, Rio de Janeiro, Brazil.

    54. C.K. Thomas and W. Saad, “Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?,” in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 5 pages, June 4–10, 2023, Rhodes Island, Greece.

    55. R. Mundlamuri, R. Gangula, C.K. Thomas, F. Kaltenberger, and W. Saad, “Sensing Aided Channel Estimation in Wideband Millimeter-Wave MIMO Systems,” in Proc. IEEE Int. Conf. on Communications (ICC) Workshop, pp. 1404–1409, May 28–June 1, 2023, Rome, Italy.

    56. R. Mundlamuri, S. Ross, Y. Karacora, C. Chaccour, A. Sezgin, and W. Saad, “Integrated Communication and Control Systems: A Data Significance Perspective,” in Proc. IEEE Int. Conf. on Communications (ICC) Workshop on Semantic Communications, pp. 1866–1871, May 28–June 1, 2023, Rome, Italy.

    57. M.S. Munir, S. Proddatoori, M. Muralidhara, W. Saad, Z. Han, and S. Shetty, “A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid,” in Proc. IEEE Int. Conf. on Communications (ICC), pp. 2482–2488, June 9–13, 2024, Denver, CO, USA.

    58. C.K. Thomas and W. Saad, “Symbolic Logic and Category Theory for Reasoning-Enabled Semantic Communications,” in Proc. IEEE Asilomar Conf. on Signals, Systems, and Computers, pp. 121–125, Oct. 27–30, 2024, Pacific Grove, CA, USA.

    59. C.K. Thomas and W. Saad, “Hypergame Theory for Decentralized Resource Allocation in Multi-user Semantic Communications,” in Proc. IEEE Conf. on Decision and Control (CDC), 8 pages, Dec. 16–19, 2024, MiCo, Milan, Italy.

    60. N. Singh, C.K. Thomas, W. Saad, and E.C. Strinati, “On the Computing and Communication Tradeoff in Reasoning-Based Multi-User Semantic Communications,” in Proc. IEEE Wireless Communications and Networking Conf. (WCNC), 6 pages, Mar. 24–27, 2025, Mico Milano Congressi, Milan, Italy.

    61. R. Zhang, N. Zhang, A. Moini, W. Lou, and Y.T. Hou, “PrivacyScope: Automatic Analysis of Private Data Leakage in TEE-Protected Applications,” in Proc. IEEE Int. Conf. on Distributed Computing Systems (ICDCS), pp. 34–44, Dec. 2–4, 2020, Singapore (online).

    62. N. Wang, Y. Chen, Y. Hu, W. Lou, and Y.T. Hou, “MANDA: On Adversarial Example Detection for Network Intrusion Detection System,” in Proc. IEEE INFOCOM, 10 pages, May 10–13, 2021, virtual conference.

    63. N. Wang, Y. Chen, Y. Hu, W. Lou, and Y.T. Hou, “FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning,” in Proc. IEEE INFOCOM, pp. 1409–1418, May 2–5, 2022, virtual conference.

    64. N. Wang, Y. Xiao, Y. Chen, Y. Hu, W. Lou, and Y.T. Hou, “FLARE: Defending Federated Learning against Model Poisoning Attacks via Latent Space Representations,” in Proc. ACM Asia Conf. on Computer and Communications Security (ASIACCS), pp. 946–958, May 30–June 3, 2022, Nagasaki, Japan.

    65. Y. Hu, N. Wang, Y. Chen, W. Lou, and Y.T. Hou, “Transferability of Adversarial Examples in Machine Learning-Based Malware Detection,” in Proc. IEEE Conf. on Communications and Network Security (CNS), pp. 28–36, Oct. 3–5, 2022, Austin, TX, USA.

    66. C. Du, H. Yu, Y. Xiao, W. Lou, C. Wang, R. Gazda, and Y.T. Hou, “Mobile Tracking in 5G and Beyond Networks: Problems, Challenges, and New Directions,” in Proc. IEEE Int. Conf. on Mobile Ad Hoc and Sensor Systems (MASS), pp. 426–434, Oct. 19–23, 2022, Denver, CO, USA.

    67. N. Wang, Y. Xiao, Y. Chen, N. Zhang, W. Lou, and Y.T. Hou, “Squeezing More Utility via Adaptive Clipping on Differentially Private Gradients in Federated Meta-Learning,” in Proc. Annual Computer Security Applications Conf. (ACSAC), pp. 647–657, Dec. 5–9, 2022, Austin, TX, USA.

    68. Y. Xiao, N. Zhang, W. Lou, and Y.T. Hou, “A Decentralized Truth Discovery Approach to the Blockchain Oracle Problem,” in Proc. IEEE INFOCOM, 10 pages, May 17–20, 2023, New York, USA.

    69. S. Shi, Y. Xiao, C. Du, M.H. Shahriar, A. Li, N. Zhang, Y.T. Hou, and W. Lou, “MS-PTP: Protecting Network Timing from Byzantine Attacks,” in Proc. ACM Conf. on Security and Privacy in Wireless and Mobile Networks (WiSec), pp. 61–71, May 29–June 1, 2023, Guildford, UK.

    70. J. Wang, Y. Wang, A. Li, Y. Xiao, R. Zhang, W. Lou, Y.T. Hou, and N. Zhang, “ARI: Attestation of Real-time Mission Execution Integrity,” in Proc. 32nd USENIX Security Symposium, pp. 2761–2778, Aug. 9–11, 2023, Anaheim, CA, USA.

    71. C. Du, H. Yu, Y. Xiao, Y.T. Hou, A. Keromytis, and W. Lou, “UCBlocker: Unwanted Call Blocking Using Anonymous Authentication,” in Proc. 32nd USENIX Security Symposium, pp. 445–462, Aug. 9–11, 2023, Anaheim, CA, USA.

    72. C. Zhang, N. Wang, S. Shi, C. Du, W. Lou, and Y.T. Hou, “MINDFL: Mitigating the Impact of Imbalanced and Noisy-labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection,” in Proc. IEEE Military Communications Conf. (MILCOM), pp. 331–338, Oct. 31–Nov. 2, 2023, Boston, MA, USA.

    73. H. Yu, C. Du, Y. Xiao, A. Keromytis, C. Wang, R. Gazda, Y.T. Hou, and W. Lou, “AAKA: An Anti-Tracking Cellular Authentication Scheme Leveraging Anonymous Credentials,” in Proc. Network and Distributed System Security Symposium (NDSS), 18 pages, Feb. 26–Mar. 1, 2024, San Diego, CA, USA.

    74. M.M.A. Barat, S. Li, C. Du, Y.T. Hou, and W. Lou, “SoK: Public Blockchain Sharding,” in Proc. IEEE Int. Conf. on Blockchain and Cryptocurrency (ICBC), pp. 766–783, May 27–31, 2024, Dublin, Ireland.

    75. M.H. Shahriar, M.R. Ansari, J.-P. Monteuuis, C. Chen, J. Petit, Y.T. Hou, and W. Lou, “VehiGAN: Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems,” in Proc. 44th IEEE Int. Conf. on Distributed Computing Systems (ICDCS), pp. 1294–1305, July 23–26, 2024, Jersey City, NJ, USA.

    76. H. Jin, C. Zhang, S. Shi, W. Lou, and Y.T. Hou, “ProFLingo: A Fingerprinting-based Intellectual Property Protection Scheme for Large Language Models,” in Proc. IEEE Conf. on Communications and Network Security (CNS), 9 pages, Sept. 30–Oct. 1, 2024, Taipei, Taiwan, doi: 10.1109/CNS62487.2024.10735575.

    77. C. Zhang, S. Shi, N. Wang, X. Xu, S. Li, L. Zheng, R. Marchany, M. Gardner, Y.T. Hou, and W. Lou, “Hermes: Boosting the Performance of Machine-Learning-based Intrusion Detection System through Geometric Feature Learning,” in Proc. 25th ACM Int. Symp. on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), pp. 251–260, Oct. 14–17, 2024, Athens, Greece.

    78. S. Shi, W. Wang, Y. Xiao, C. Zhang, Y. Shi, Y.T. Hou, and W. Lou, “Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction,” in Proc. Network and Distributed System Security Symposium (NDSS), 20 pages, Feb. 24–28, 2025, San Diego, CA, USA.

    79. C. Zhang, H. Yu, S. Shi, S. Li, Y. Shi, E.W. Burger, Y.T. Hou, and W. Lou, “StarCast: A Secure and Spectrum-Efficient Group Communication Scheme for LEO Satellite Networks,” in Proc. IEEE Int. Symp. on Dynamic Spectrum Access Networks (DySPAN), 10 pages, May 12–16, 2025, London, UK.

    80. M.H. Shahriar, N. Wang, N. Ramakrishnan, Y.T. Hou, and W. Lou, “Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks,” in Proc. European Symp. on Research in Computer Security (ESORICS), Sept. 22–26, 2025, Toulouse, France (to appear).

    81. Md. Z. Hasan, D.J. Couto, M.A. Abdel-Malek, and J.H. Reed, “Frequency Hopping Signal Detection in Low Signal-to-Noise Ratio Regimes,” in Proc. IEEE 34th Annual Int. Symp. on Personal, Indoor and Mobile Radio Communications (PIMRC), 7 pages, Sept. 5–8, 2023, Toronto, ON, Canada.

    82. A. Mahesh Kumar, M.A. Abdel-Malek, and J.H. Reed, “Optimization and Control of Autonomous UAV Swarm for Object Tracking,” in Proc. IEEE Military Communications Conf. (MILCOM), pp. 255–259, Oct. 30–Nov. 3, 2023, Boston, MA, USA.

    83. B. Choudhury, V.K. Shah, A. Ferdowsi, J.H. Reed, and Y.T. Hou, “AoI-minimizing Scheduling in UAV-relayed IoT Networks,” in Proc. IFIP MASS, pp. 117–126, Oct. 4–7, 2021, virtual conference.

    84. A. Dayal, V.K. Shah, B. Choudhury, V. Marojevic, C. Dietrich, and J.H. Reed, “Adaptive Semi-Persistent Scheduling for Enhanced On-Road Safety in Decentralized V2X Networks,” in Proc. IFIP Networking, 9 pages, June 21–24, 2021, virtual conference.

    85. B. Choudhury, V.K. Shah, A. Dayal, and J.H. Reed, “Joint Age of Information and Self Risk Assessment for Safer 802.11p-based V2V Networks,” in Proc. IEEE INFOCOM, 10 pages, May 10–13, 2021, virtual conference.

    86. B. Choudhury, V.K. Shah, A. Dayal, and J.H. Reed, “Experimental Analysis of Safety Application Reliability in V2V Networks,” in Proc. IEEE VTC-Spring Recent Results, 5 pages, May 25–28, 2020, virtual conference.

    87. B. Choudhury, V.K. Shah, A. Dayal, and J.H. Reed, “Performance Analysis of Safety Application Reliability in V2V Networks,” in Proc. IEEE VTC-Spring Recent Results, pp. 1–5, May 25–28, 2020, Antwerp, Belgium.



      Thesis and Dissertations

      1. Chengzhang Li, “Optimizing Information Freshness in Wireless Networks,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, Virginia Tech, December 2022.

      2. Shaoran Li, “Coping Uncertainty in Wireless Network Optimization,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, Virginia Tech, September 2022.

      3. J. Jin, “Information-Centric Algorithms for Feature Extraction in High-Dimensional Sequential Data,” Ph.D. Dissertation, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, January 2025.

      4. S. Cayci, “Online Learning for Optimal Control of Communication and Computing Systems,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, The Ohio State University, 2020.

      5. G. Quan, “Designing Caching Mechanisms for Distributed and Dynamic Systems,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, The Ohio State University, 2021.

      6. B. Abolhassani, “Fresh Caching of Dynamic Content over the Wireless Edge,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, The Ohio State University, 2023.

      7. S. Kang, “Enhancing Remote Tracking Systems in IoT Networks: Strategies for Balancing Timely Updates and Resource Constraints,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, The Ohio State University, 2024.

      8. X. Zhou, “Efficient Strategies for Age-Sensitive Communication in Next Generation Multi-Channel Wireless Networks,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, The Ohio State University, 2025.

      9. Y. Zheng, “Efficient Online Learning and Optimization Methods under Various Structural and Resource Constraints,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, The Ohio State University, 2025.

      10. A.T. Kasgari, “Reliable Low Latency Machine Learning for Resource Management in Wireless Networks,” Ph.D. Dissertation, Bradley Department of Electrical and Computer Engineering, Virginia Tech, 2021.

      11. T. Zeng, “Joint Communication, Control, and Learning for Connected and Autonomous Vehicles,” Ph.D. Dissertation, Bradley Department of Electrical and Computer Engineering, Virginia Tech, 2021.

      12. C. Chaccour, “Building the Foundations and Experiences of 6G and Beyond Networks: A Confluence of THz Systems, Extended Reality (XR), and AI-Native Semantic Communications,” Ph.D. Dissertation, Bradley Department of Electrical and Computer Engineering, Virginia Tech, 2023.

      13. M. Chehimi, “Fundamentals of Quantum Communication Networks: Scalability, Efficiency, and Distributed Quantum Machine Learning,” Ph.D. Dissertation, Bradley Department of Electrical and Computer Engineering, Virginia Tech, 2024.

      14. N. Wang, “Building Trustworthy Machine Learning Systems in Adversarial Environments,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, Virginia Tech, May 2023.

      15. S. Shi, “Building Trustworthy Artificial Intelligence of Things Systems in Adversarial Environments,” Ph.D. Dissertation, Department of Computer Science, Virginia Tech, August 2025.

      16. B. Choudhury, “Information Freshness: How to Achieve It and Its Impact on Low-Latency Autonomous Systems,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, Virginia Tech, May 2022.

      17. A. Dayal, “Practical Algorithms and Analysis for Next-Generation Decentralized Vehicular Networks,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, Virginia Tech, November 2021.

      18. Heng Jin, “A Reinforcement Learning-based Scheduler for Minimizing Casualties of a Military Drone Swarm,” M.S. Thesis, Department of Electrical and Computer Engineering, Virginia Tech, June 2022.

      19. K. Gusain, “Deep Learning Empowered Unsupervised Contextual Information Extraction and its Applications in Communication Systems,” M.S. Thesis, Department of Electrical and Computer Engineering, Virginia Tech, December 2022.

      20. D.A. Ravi, “Identifying and Prioritizing Critical Information in Military IoT: Video Game Demonstration,” M.S. Thesis, Department of Electrical and Computer Engineering, Virginia Tech, June 2021.

      Review Reports

      • MURI Year 3 Review Report [PDF]
      • MURI Final Report [PDF]