Publications



Books and Chapters

  1. 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. 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).

  2. 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, 2023 (accepted).

  3. 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, 2023 (accepted).

  4. 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.

  5. 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.

  6. 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, February 2023.

  7. 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.

  8. 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.

  9. 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.

  10. 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, October 2022.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  28. 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. 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. of the USENIX Security Symposium (USENIX Security), August 9-11 2023, Anaheim, CA, USA.

  2. 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.

  3. 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.

  4. 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. of the ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec), May 29-June 1 2023, Guildford, Surrey, UK.

  5. 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. of the IEEE International Conference on Computer Communications (IEEE INFOCOM), May 17-20 2023, New York area, USA.

  6. 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.

  7. N. Wang, Y. Xiao, Y. Chen, N. Zhang, W. Lou, and Y.T. Hou, “Squeezing More Utility via Adaptive Clipping on Deferentially Private Gradients in Federated Meta-Learning”, in Proc. of the Annual Computer Security Applications Conference (ACSAC), December 5-9 2022, Austin, TX, USA.

  8. 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.

  9. 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.

  10. H. Jin, Q. Liu, C. Li, Y.T. Hou, W. Lou, and S. Kompella, “Hector: A Reinforcement Learning-based Scheduler for Minimizing Casualties of a Military Drone Swarm”, in Proc. of the IEEE Military Communications Conference (IEEE MILCOM), November 28-December 2 2022, National Capital Region, USA.

  11. C. Li, Q. Liu, Y.T. Hou, W. Lou, and S. Kompella. “Aequitas: A Uniformly Fair 5G Scheduler for Minimizing Outdated Information”, in Proc. of the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS), October 20-22 2022, Denver, CO, USA.

  12. 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. of the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS), October 20-22 2022, Denver, CO, USA.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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.

  35. 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.

  36. 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.

  37. 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.

  38. 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.

  39. 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.

  40. 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.

  41. 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.

  42. 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.

  43. 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.

  44. 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.

  45. 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.

  46. 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.

  47. 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.

  48. 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.

  49. 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.

  50. 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.

  51. 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).

  52. B. Choudhury, V. K. Shah, A. Dayal, J. H. Reed, “Performance 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. N. Wang, “Building Trustworthy Machine Learning Systems in Adversarial Environment”, Ph.D. Dissertation, 2023, Department of Electrical and Computer Engineering, Virginia Tech.

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

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

  4. 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.

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

  6. 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.

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

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

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

  10. 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.

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

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

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

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

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

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

  17. 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.