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, vol 21, no. 1-2, pp 1-299, 2024. NOW publisher.

  2. B. Li, B. Ji, A. Eryilmaz, ‘‘Age-Efficient Scheduling in Communication Networks’’, chapter in book ‘‘Age of Information: Foundations and Applications’’, Edited by: Walid Saad, Harpreet Dhillon, Nikolaos Pappas, Mohamed A. Abd-Elmagid, Bo Zhou, Cambridge University Press, 2023, doi:10.1017/9781108943321.

  3. N. Pappas, M. Abdel-Magid, B. Zhou, W. Saad, and H. Dhillon, “Age of Information: Foundations and Applications”, Edited Volume, Cambridge University Press, November 2022.


Journal Articles

  1. 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, 2023, accepted.

  2. C. Li, Q. Liu, Y.T. Hou, W. Lou, and S. Kompella, “Aequitas: A 5G Scheduler for Minimizing Outdated Information in IoT Networks,” IEEE Internet of Things Journal, vol. 11, no. 13, pp. 23322–23335, July 2024. DOI: 10.1109/JIOT.2024.3384832.

  3. Y. Chen, Y.T. Hou, W. Lou, J. Reed, and S. Kompella, “O-M3: Real-Time Multi-Cell MIMO Scheduling in 5G O-RAN,” IEEE Journal of Selected Areas in Communications, vol. 42, no. 2, pp. 339–355, February 2024. DOI: 10.1109/JSAC.2023.3336164.

  4. 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, January 2024. DOI: 10.1109/TMC.2022.3215934.

  5. 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, December 2023. DOI: 10.1109/TMC.2022.3207160.

  6. 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, August 2023. DOI: 10.1109/JIOT.2023.3234872.

  7. 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, 1 July-Aug. 2023. DOI: 10.1109/TNSE.2023.3236871.

  8. 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. DOI: 10.1109/TNET.2023.3244039.

  9. 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, April 2024. DOI: 10.1109/TNET.2023.3314506.

  10. 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, April 2024. DOI: 10.1109/TNET.2023.3332590.

  11. B. Abolhassani, J. Tadrous, A. Eryilmaz, and S. Yüksel, “Optimal Push and Pull-Based Edge Caching For Dynamic Content,” IEEE/ACM Transactions on Networking, 2024, to appear. DOI: 10.1109/TNET.2024.3352029.

  12. G. Quan, A. Eryilmaz, and N.B. Shroff, “Minimizing Edge Caching Service Costs Through Regret-Optimal Online Learning,” IEEE/ACM Transactions on Networking, 2024, to appear. DOI: 10.1109/TNET.2024.3420758.

  13. G. Quan, A. Eryilmaz, and N.B. Shroff, “Optimal Edge Caching For Individualized Demand Dynamics,” IEEE/ACM Transactions on Networking, 2024, to appear. DOI: 10.1109/TNET.2024.3369611.

  14. 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, May 2024. DOI: 10.1109/TWC.2023.3319981.

  15. 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, June 2024. DOI: 10.1109/COMST.2024.3412852.

  16. X. Xu, and L. Zheng, “Neural Feature Learning in Function Space,” Journal of Machine Learning Research (JMLR), vol. 25, no. 142, pp. 1-76, 2024.

  17. S. Jere, L. Zheng, K. Said, and L. Liu, “Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing,” IEEE Journal of Selected Topics in Signal Processing, 2024. DOI: 10.1109/JSTSP.2024.3387274.

  18. C. Zhao, 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, Special Issue on Pervasive, Efficient and Smart Signal Processing for IoT, vol. 5, no. 4, pp. 58-63, December 2022.

  19. X. Xu, S. Huang, L. Zheng, and G.W. Wornell, “An Information Theoretic Interpretation to Deep Neural Networks,” Entropy Special Issue on Machine Learning and Information Theory, vol. 24, no. 1, pp. 135–163, January 2022.

  20. 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, 2023, accepted.

  21. 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, April 2023.

  22. 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, October 2022.

  23. 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, doi: 10.1109/TNET.2022.3170245.

  24. 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, 1 July-Aug. 2023, doi: 10.1109/TNSE.2023.3236871.

  25. 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, doi: 10.1109/TNET.2022.3191607.

  26. 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, IEEE Early Access, 2023, doi: 10.1109/TNET.2023.3244039.

  27. J. Yun, A. Eryilmaz, J. Moon and C. Joo, “Remote Estimation for Dynamic IoT Sources Under Sublinear Communication Costs,” IEEE/ACM Transactions on Networking, IEEE Early Access, 2023, doi: 10.1109/TNET.2023.3314506.

  28. A. Kumar, L. Pol, M. A. Abdel-Malek, and J.H. Reed “ Optimization and Control Demonstration of Autonomous UAV Swarm’’, Underpreparation, Nov. 2023.

  29. G. Reus-Muns, P. Upadhyaya, U. Demir, N. Stephenson, N. Soltani, V. K. Shah, K. R. Chowdhury, “SenseORAN: O-RAN based Radar Detection in the CBRS Band,” IEEE Journal on Selected Areas in Communications (JSAC), August 2023.

  30. 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, March 2023.

  31. 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, November 2022.

  32. 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, 2022.

  33. M. K. Farshbafan, W. Saad, and M. Debbah, “Curriculum Learning for Goal-Oriented Semantic Communications with a Common Language”, IEEE Transactions on Communications, 2023.

  34. 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, November 2022.

  35. 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, October 2022.

  36. 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, issue 12, pp. 9775-9788, June 2022.

  37. B. Zhou and W. Saad, “Performance Analysis of Age of Information in Ultra-Dense Internet of Things (IoT) Systems with Noisy Channels”, IEEE Transactions on Wireless Communications, vol 21, issue 5, pp. 3493-3507, May 2022.

  38. B. Abolhassani, J. Tadrous and A. Eryilmaz, “Single vs Distributed Edge Caching for Dynamic Content”, IEEE/ACM Transactions on Networking, vol. 30, no. 2, pp. 669-682, April 2022.

  39. 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, issue 3, pp. 501-515, April 2022.

  40. X. Xu, S. Huang, L. Zheng, and G.W. Wornell, “An Information Theoretic Interpretation to Deep Neural Networks”, Entropy Special Issue on Machine Learning and Information Theory, vol. 24, no. 1, pp. 135–163, January 2022.

  41. 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, October 2021.

  42. Z. Shi and A. Eryilmaz, “A Flexible Distributed Stochastic Optimization Framework for Concurrent Tasks in Processing Networks”, IEEE/ACM Transactions on Networking, vol. 29, no. 5, pp. 2045-2058, October 2021.

  43. H. Kesavareddigari and A. Eryilmaz, “Counter-Intuitive Characteristics of Rational Decision-Making Using Biased Inputs in Information Networks”, IEEE/ACM Transactions on Networking, vol. 29, no. 4, pp. 1774-1785, August 2021.

  44. 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.

  45. A. Ferdowsi, M. Abd-Elmagid, W. Saad, and H. 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.

  46. 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, April 2021.

  47. 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, April 2021.

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

  49. 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, issue 4, pp. 2256-2270, October–December 1, 2020.

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

  51. 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, issue 3, pp. 1933-1947, March 2020.

  52. M. Abdel-Aziz, C.-F. Liu, S. Samarakoon, M. Bennis, and W. Saad, “Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks”, IEEE Transactions on Communications, vol. 68, pp. 1911-1924, March 2020.

  53. 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, issue 2, pp. 367-370, February 2020.


Conference Papers

  1. 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,” In Proceedings of 33rd International Conference on Computer Communications and Networks (ICCCN 2024), July 29-31, 2024, Big Island, Hawaii, USA.

  2. 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,” accepted by IEEE International Conference on Communications (ICC): Wireless Communications Symposium, June 9–13, 2024, Denver, CO, USA.

  3. Q. Liu, C. Li, Y.T. Hou, W. Lou, and S. Kompella, “Age of Critical Information: Optimizing Data Freshness Based on Content Criticality,” In Proceedings of IEEE Military Communications Conference (MILCOM), pp. 747-754, October 30–November 3, 2023, Boston, MA, USA. DOI: 10.1109/MILCOM58377.2023.10356349.

  4. 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 Proceedings of The 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023), pp. 295–303, September 25–27, 2023, Toronto, Canada. DOI: 10.1109/MASS58611.2023.00043.

  5. X. Zhou, I. Koprulu, and A. Eryilmaz, “Exploring the Tradeoff between Age of Information and Synchronization over Broadcast Channels,” In Proceedings of 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Singapore, Singapore, August 24-27, 2023, Singapore.

  6. S. Kang, C. Li, A. Eryilmaz, and N.B. Shroff, “Balancing Current and Historical State Information in Remote Tracking Systems: A Randomized Update Approach,” in the 7th Age and Semantics of Information Workshop (ASoI), IEEE Infocom Conference, May 20-23, 2024, Vancouver, Canada.

  7. 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 Proceedings of IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), September 5-8, 2023, Toronto, ON, Canada.

  8. C.K. Thomas, E.C. Strinati, and W. Saad, “Reasoning with the Theory of Mind for Pragmatic Semantic Communication,” In Proceedings of IEEE 21st Consumer Communications & Networking Conference (CCNC), January 6-9, 2024, Las Vegas, USA.

  9. 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 Proceedings of IEEE International Conference on Communications (ICC), June 9-13, 2024, Denver, Colorado, USA.

  10. C. Zhang, H. Yu, S. Shi, S. Li, Y. Shi, Y.T. Hou, and W. Lou, “StarCast: A Secure and Efficient Multicast Scheme in LEO Satellite Networks,” (submitted, currently under review).

  11. 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 Proceedings of 25th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), Oct 14-17, 2024, Athens, Greece.

  12. 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 Proceedings of 44th IEEE International Conference on Distributed Computing Systems (ICDCS), July 23-26, 2024, Jersey City, NJ, USA.

  13. M.M.A. Barat, S. Li, C. Du, Y.T. Hou, and W. Lou, “SoK: Public Blockchain Sharding,” In Proceedings of IEEE International Conference on Blockchain and Cryptocurrency (ICBC), May 27-31, 2024, Dublin, Ireland.

  14. 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 Proceedings of Network and Distributed System Security Symposium (NDSS), February 26-March 1, 2024, San Diego, CA, USA.

  15. 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 Proceedings of IEEE MILCOM, October 30 – November 3, 2023, Boston, MA, USA.

  16. C. Du, H. Yu, Y. Xiao, Y.T. Hou, A.D. Keromytis, and W. Lou “UCBlocker: Unwanted Call Blocking Using Anonymous Authentication,” USENIX Security, August 9-11, 2023, Anaheim, CA, USA.

  17. 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,” USENIX Security, August 9-11, 2023, Anaheim, CA, USA.

  18. 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 Proceedings of International Conference on Machine Learning (ICML), July 21-27, 2024, Vienna, Austria.

  19. Q. Liu, C. Li, Y.T. Hou, and W. Lou, S. Kompella, “Age of Critical Information: Optimizing Data Freshness Based on Content Criticality,” IEEE Military Communications Conference (MILCOM), October 30–November 3, 2023, Boston, MA, USA, awaiting publication.

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

  21. C. Li, S. Li, Q. Liu, Y.T. Hou, W. Lou, and S. Kompella, “Eywa: A General Approach for Scheduler Design in AoI Optimization,” IEEE INFOCOM, New York Area, USA, May 17-20, 2023. DOI: 10.1109/INFOCOM53939.2023.10228973

  22. H. Jin, Q. Liu, C. Li, Y.T. Hou, W. Lou, S. Kompella, “Hector: A Reinforcement Learning-based Scheduler for Minimizing Casualties of a Military Drone Swarm,” IEEE Military Communications Conference (MILCOM), pp. 887–894, November 28–December 2, 2022, National Capital Region, USA. DOI: 10.1109/MILCOM55135.2022.10017716

  23. C. Li, Q. Liu, Y.T. Hou, W. Lou, S. Kompella, “Aequitas: A Uniformly Fair 5G Scheduler for Minimizing Outdated Information,” The 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2022), pp. 180–187, October 20–22, 2022, Denver, Colorado, USA. DOI: 10.1109/MASS56207.2022.00031

  24. X. Xu, and L. Zheng, “Multivariate Feature Extraction”, Allerton Conference, September 27—30 2022, Monticello, IL, USA.

  25. X. Xu, and L. Zheng, “Sequential Dependence Decomposition and Feature Learning”, 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton), September 2023.

  26. X. Xu, and L. Zheng, “Neural Feature Learning for Engineering Problems”, 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton), September 2023.

  27. K. Gusain, Z. Hassan, D. J. Couto, M. A. Malek, V. K. Shah, L. Zheng, and J. H. Reed “ Automated and Blind Detection of Low Probability of Intercept RF Anomaly Signal‘’, submitted to IEEE INFOComm, Jul 2023.

  28. Z. Shi, Y. Zheng and A. Eryilmaz, “A Bayesian Framework for Online Nonconvex Optimization over Distributed Processing Networks,” IEEE INFOCOM 2023 – IEEE Conference on Computer Communications, New York City, NY, USA, 2023, pp. 1-10, doi: 10.1109/INFOCOM53939.2023.10228879.

  29. X. Zhou, I. Koprulu, A. Eryilmaz, “Exploring the Tradeoff Between Age-of-Information and Synchronization over Broadcast Channels”, IEEE WiOpt Conference, August, 2023.

  30. X. Zhou, I. Koprulu, A. Eryilmaz, “Age-Optimal Multi-Channel-Scheduling under Energy and Tolerance Constraints”, IEEE Infocom 2023, Proceedings of AoI Workshop, 2023.

  31. S. Ross, Y. Karacora, C. Chaccour, A. Sezgin, and W. Saad, “Integrated Communication and Control Systems: A Data Significance Perspective”, Proc. of the IEEE International Conference on Communications (ICC), SemComm Workshop, Rome, Italy, May 2023.

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

  33. C. Zhang, N. Wang, S. Shi, C. Du, W. Lou, Y.T. Hou, “MINDFL: Mitigating the Impact of Imbalanced and Noisy-labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection,” IEEE MILCOM, October 31-Nov 2, 2023, Boston, MA, USA.

  34. C. Du, H. Yu, Y. Xiao, Y. T. Hou, A. Keromytis, W. Lou, “UCBlocker: Unwanted Call Blocking Using Anonymous Authentication”, 32nd Usenix Security Symposium, August 9-11, 2023, Anaheim, CA, USA.

  35. J. Wang, Y. Wang, A. Li, Y. Xiao, R. Zhang, W. Lou, Y. T. Hou, N. Zhang, “ARI: Attestation of Real-time Mission Execution Integrity,” 32nd Usenix Security Symposium, August 9-11, 2023, Anaheim, CA, USA.

  36. S. Shi, Y. Xiao, C. Du, M. H. Shahriar, A. Li, N. Zhang, Y. T. Hou, W. Lou, “MS-PTP: Protecting Network Timing from Byzantine Attacks”, ACM WiSec 2023, May 29- June 1, 2023, Guildford, Surrey, UK.

  37. Y. Xiao, N. Zhang, W. Lou, Y.T. Hou, “A Decentralized Truth Discovery Approach to the Blockchain Oracle Problem,” IEEE INFOCOM 2023, May 17-20, 2023, New York Area, USA.

  38. N. Wang, Y. Xiao, Y. Chen, N. Zhang, W. Lou, Y.T. Hou. “Squeezing More Utility via Adaptive Clipping on Deferentially Private Gradients in Federated Meta-Learning,” Proc. ACSAC, December 5-9 2022, Austin, TX, USA.

  39. C. Du, H. Yu, Y. Xiao, W. Lou, C. Wang, R. Gazda, Y.T. Hou. “Mobile Tracking in 5G and Beyond Networks: Problems, Challenges, and New Directions,” Proc. IEEE MASS, October 20-22 2022, Denver, Colorado, USA.

  40. Y. Hu, N. Wang, Y. Chen, W. Lou, Y.T. Hou. “Transferability of Adversarial Examples in Machine Learning-Based Malware Detection,” Proc. IEEE CNS, October 3-5 2022, Austin, TX, USA.

  41. S. Cayci, A. Eryilmaz, “Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards”, to appear in Proceedings of Neurips, 2023.

  42. S. Kang, A. Eryilmaz, N. Shroff, C. Li, “Balancing Current and Historical State Information in Remote Tracking Systems: A Randomized Update Approach”, submitted for review, 2023.

  43. B. Abolhassani, A. Eryilmaz, T. Hou, W. Lou, “Learning-Based Fresh Caching for CDNs: Efficiency and Adaptability”, submitted for review, 2023.

  44. C. Thomas and W. Saad, “Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication”, Proc. IEEE GLOBECOM, December 4-8, 2022, Rio de Janeiro, Brazil.

  45. R. Vera-Amaro, M. Burke, and W. Saad, “Coordinated UAVs for Effective Payload Delivery”, Proc. IEEE GLOBECOM, December 4-8, 2022, Rio de Janeiro, Brazil.

  46. X. Xu and L. Zheng, “Kernel Subspace and Feature Extraction”, in Proc. of the IEEE International Symposium on Information Theory (IEEE ISIT), June 25-30 2023, Taipei, Taiwan.

  47. M.H.S. Erol, E. Sula, and L. Zheng, “On Semi-Supervised Estimation of Distributions”, in Proc. of the IEEE International Symposium on Information Theory (IEEE ISIT), June 25-30 2023, Taipei, Taiwan.

  48. Y. Xiao, N. Zhang, W. Lou, and Y.T. Hou, “A Decentralized Truth Discovery Approach to the Blockchain Oracle Problem”, in Proc. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), May 17-20 2023, New York area, USA.

  49. C. Thomas and W. Saad, “Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication”, in Proc. of the IEEE Global Communications Conference (IEEE GLOBECOM), December 4-8 2022, Rio de Janeiro, Brazil.

  50. R. Vera-Amaro, M. Burke, and W. Saad, “Coordinated UAVs for Effective Payload Delivery”, in Proc. of the IEEE Global Communications Conference (IEEE GLOBECOM), December 4-8 2022, Rio de Janeiro, Brazil.

  51. Y. Hu, N. Wang, Y. Chen, W. Lou, and Y.T. Hou, “Transferability of Adversarial Examples in Machine Learning-Based Malware Detection”, in Proc. of the IEEE Conference on Communications and Network Security (IEEE CNS), October 3-5 2022, Austin, TX, USA.

  52. X. Xu and L. Zheng, “Multivariate Feature Extraction”, in Proc. of the Allerton Conference on Communication, Control, and Computing (Allerton Conference), September 27-30 2022, Monticello, IL, USA.

  53. G. Quan, A. Eryilmaz, and N. Shroff, “Regret-Optimal Learning for Minimizing Edge Caching Service Costs”, in Proc. of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), September 19-23 2022, Torino, Italy.

  54. 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. of the ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS), May 30-June 3 2022, Nagasaki, Japan.

  55. M. Karimzadeh, W. Saad, and M. Debbah, “Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework”, in Proc. of the IEEE International Conference on Communications (IEEE ICC), May 16-20 2022, Seoul, South Korea.

  56. 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. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), May 2-5 2022, virtual conference.

  57. 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. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), May 2-5 2022, virtual conference.

  58. Z. Shi and A. Eryilmaz, “A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints”, in Proc. of the International Conference on Artificial Intelligence and Statistics (AISTATS), March 28-30 2022, virtual conference.

  59. S. Cayci, Y. Zheng, and A. Eryilmaz, “A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback”, in Proc. of the AAAI Conference on Artificial Intelligence (AAAI), February 22-March 1 2022, virtual conference.

  60. Z. Shi and A. Eryilmaz, “Communication-efficient Subspace Methods for High-dimensional Federated Learning,” in Proc. MSN, , December 13-15, 2021, Exeter, UK.

  61. T. Zeng, O. Semiari, W. Saad, and M. Bennis, “Performance Analysis of Aircraft-to-Ground Communication Networks in Urban Air Mobility (UAM)”, in Proc. of the IEEE Global Communications Conference (IEEE GLOBECOM), December 7-11 2021, Madrid, Spain.

  62. B. Zhou and W. Saad, “Age of Information in Ultra-Dense Computation-Intensive Internet of Things (IoT) Systems”, in Proc. of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), October 18-21 2021, virtual conference.

  63. B. Abolhassani, J. Tadrous and A. Eryilmaz, “Optimal Load-Splitting and Distributed-Caching for Dynamic Content”, in Proc. of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), October 18-21 2021, virtual conference.

  64. X. Zhou, I. Koprulu, A. Eryilmaz, M.J. Neely, “Low-Overhead Distributed MAC for Serving Dynamic Users over Multiple Channels”, in Proc. of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), October 18-21 2021, virtual conference.

  65. 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. of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), October 18-21 2021, virtual conference.

  66. B. Choudhury, V. K. Shah, A. Ferdowsi, J.H. Reed, and Y.T. Hou, “AoI-minimizing Scheduling in UAV-relayed IoT Networks”, in Proc. of the IEEE International Conference on Mobile Ad Hoc and Sensor Systems (IEEE MASS), October 4-7 2021, virtual conference.

  67. S. Li, Y. Huang, C. Li, B.A. Jalaian, Y.T. Hou, and W. Lou, “Task Offloading with Uncertain Processing Cycles”, in Proc. of the ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), July 26-29 2021, Shanghai, China.

  68. 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. of the IFIP Networking Conference (IFIP Networking), July 21-24 2021, virtual conference.

  69. T. Park, W. Saad, and B. Zhou, “On the Minimization of Non-Linear Age of Information in the Internet of Things”, in Proc. of the IEEE International Conference on Communications (IEEE ICC), June 14-23 2021, virtual conference.

  70. B. Zhou and W. Saad, “Age of Information in Ultra-Dense IoT Systems with Noisy Channels: With and Without Feedback”, in Proc. of the IEEE International Conference on Communications (IEEE ICC), June 14-23 2021, virtual conference.

  71. B. Abolhassani, J. Tadrous, A. Eryilmaz, and E. Yeh, “Fresh Caching for Dynamic Content”, in Proc. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), May 10-13, 2021, virtual conference.

  72. 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. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), May 10-13, 2021, virtual conference.

  73. S. Kang, A. Eryilmaz, and C. Joo, “Comparison of Decentralized and Centralized Update Paradigms for Remote Tracking of Distributed Dynamic Sources”, in Proc. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), May 10-13, 2021, virtual conference.

  74. C. Li, Q. Liu, S. Li, Y. Chen, Y.T. Hou, and W. Lou, “On Scheduling with AoI Violation Tolerance”, in Proc. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), May 10-13, 2021, virtual conference.

  75. Q. Liu, C. Li, Y.T. Hou, W. Lou, and S. Kompella, “Aion: A Bandwidth Optimized Scheduler with AoI Guarantee”, in Proc. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), May 10-13, 2021, virtual conference.

  76. N. Wang, Y. Chen, Y. Hu, W. Lou, and Y.T. Hou, “MANDA: On Adversarial Example Detection for Network Intrusion Detection System”, in Proc. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), May 10-13, 2021, virtual conference.

  77. J. Yun, A. Eryilmaz, and C. Joo, “Remote Tracking of Dynamic Sources under Sublinear Communication Costs”, in Proc. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), AoI workshop, May 10-13, 2021, virtual conference.

  78. C. Chaccour and W. Saad, “On the Ruin of Age of Information in Augmented Reality over Wireless Terahertz (THz) Networks”, in Proc. of the IEEE Global Communications Conference (IEEE GLOBECOM), December 7-11 2020, virtual conference.

  79. B. Zhou and W. Saad, “On the Age of Information in Internet of Things Systems with Correlated Devices”, in Proc. of the IEEE Global Communications Conference (IEEE GLOBECOM), December 7-11 2020, virtual conference.

  80. S. Cayci, S. Gupta, and A. Eryilmaz, “Group-Fair Online Allocation in Continuous Time”, in Proc. of the Conference on Neural Information Processing Systems (NeurIPS), December 6-12, 2020, virtual conference.

  81. 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. of the IEEE International Conference on Distributed Computing Systems (IEEE ICDCS), November 29 – December 1, 2020, virtual conference.

  82. G. Quan, J. Tan, A. Eryilmaz, and N. Shroff, “Prefetching and Caching for Minimizing Service Costs: Optimal and Approximation Strategies”, in Proc. of the International Symposium on Computer Performance, Modeling, Measurements and Evaluation (IFIP Performance), November 2-6, 2020, virtual conference.

  83. B. Li, A. Eryilmaz, and R. Srikant, “Emulating Round-Robin for Serving Dynamic Flows over Wireless Fading Channels”, in Proc. of the ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM Mobihoc), October 11-14, 2020, virtual conference.

  84. I. Hou, N. Naghsh, S. Paul, C. Hu, and A. Eryilmaz, “Predictive Scheduling for Virtual Reality”, in Proc. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), July 6-9, 2020, virtual conference.

  85. C. Li, S. Li, Y. Chen, Y.T. Hou, and W. Lou, “AoI Scheduling with Maximum Thresholds”, in Proc. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), July 6-9, 2020, virtual conference.

  86. S. Huang, X. Xu, L. Zheng, and G. W. Wornell, “A Local Characterization for Wyner Common Information”, in Proc. of the IEEE International Symposium on Information Theory (IEEE ISIT), June 21-26, 2020, virtual conference.

  87. A. Makur, G. W. Wornell, and L. Zheng, “On Estimation of Modal Decompositions”, in Proc. of the IEEE International Symposium on Information Theory (IEEE ISIT), June 21-26, 2020, virtual conference.

  88. B. Abolhassani, J. Tadrous, and A. Eryilmaz, “Achieving Freshness in Single Multi-User Caching of Dynamic Content over the Wireless Edge”, in Proc. of the International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), June 15-19, 2020, virtual conference.

  89. H. Kesavareddigari and A. Eryilmaz, “Optimal Decisions of a Rational Agent in the Presence of Biased Information Providers”, in Proc. of the International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), June 15-19, 2020, virtual conference.

  90. M. Chen, H. V. Poor, W. Saad, and S. Cui, “Convergence Time Minimization of Federated Learning over Wireless Networks”, in Proc. of the IEEE International Conference on Communications (IEEE ICC), June 7-11 2020, virtual conference (Best Paper Award).

  91. B. Choudhury, V. K. Shah, A. Dayal, J. H. Reed, “Experimental Analysis of Safety Application Reliability in V2V Networks”, in Proc. of the IEEE Vehicular Technology Conference – Spring (IEEE VTC-Spring), May 25-28, 2020, virtual conference.


Thesis and Dissertations

  1. S. Kang, “Enhancing Remote Tracking Systems in IoT Networks: Strategies for Balancing Timely Updates and Resource Constraints”, Ph.D. Thesis, 2024, The Ohio State University.

  2. M. Chehimi, “Fundamentals of Quantum Communication Networks: Scalability, Efficiency, and Distributed Quantum Machine Learning”, Ph.D. Thesis, 2024, Virginia Tech.

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

  4. Mohamed Ibrahim AlHajri, “Constrained Information Exchange Message Passing Algorithm in Probabilistic Graphical”, Ph.D. Dissertation, 2023, EECS, MIT.

  5. K. Gusain, “Deep Learning Empowered Unsupervised Contextual Information Extraction and its Applications in Communication Systems”, Masters Thesis, 2022, Computer Science and Applications, Virginia Tech.

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

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

  8. 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, May 2023, Department of Electrical and Computer Engineering, Virginia Tech.

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

  10. B. Choudhury, “Information Freshness: How To Achieve It and It’s Impact on Low Latency Autonomous Systems”, Ph.D. Dissertation, 2022, Department of Electrical and Computer Engineering, Virginia Tech.

  11. Y. Xiao, “Blockchain and Distributed Consensus: From Security Analysis to Novel Applications”, Ph.D. Dissertation, 2022, Department of Electrical and Computer Engineering, Virginia Tech.

  12. A. T. Kasgari, “Reliable Low Latency Machine Learning for Resource Management in Wireless Networks”, Ph.D. Dissertation, 2022, Department of Electrical and Computer Engineering, Virginia Tech.

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

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

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

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

  17. T. Park, “Distributed Wireless Resource Management in the Internet of Things”, Ph.D. Dissertation, 2020, Department of Electrical and Computer Engineering, Virginia Tech.

  18. R. Zhang, “Hardware-Aided Privacy Protection and Cyber Defense for IoT”, Ph.D. Dissertation, 2020, Department of Electrical and Computer Engineering, Virginia Tech.

  19. A. Makur, “Information Contraction and Decomposition”, Ph.D. Dissertation, 2019, Department of Electrical Engineering and Computer Science, MIT.

  20. H. Jin, “A Reinforcement Learning-based Scheduler for Minimizing Casualties of a Military Drone Swarm”, Master Thesis, 2022, Department of Computer Science, Virginia Tech.

  21. Y. Hu, “On Transferability of Adversarial Examples on Machine-Learning-Based Malware Classifiers”, Master Thesis, 2022, Department of Computer Science, Virginia Tech.

  22. K. Gusain, “Deep Learning Empowered Unsupervised Contextual Information Extraction and its Applications in Communication Systems”, Master Thesis, 2022, Department of Computer Science, Virginia Tech.

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

Review Reports

  • MURI Year 3 Review Report [PDF]