Yuhan Kang, Ph.D. 2024
Synergies of Mean-field Games in Machine Learning and 6G Communication Networks
Daniel Mawunyo Doe, Ph.D. 2024
Incentive Mechanism Design for Blockchain Networks: Bridging Decentralized Exchanges, Web 3.0, and the Metaverse
Yuan Zi, Ph.D. 2024
Large-scale Carbon Monitoring with Data-Driven Optimization and Machine Learning-enhanced Signal Processing
Kai-Chu Tsai, Ph.D. 2024
Satellite-Terrestrial Integration under Uncertainty Using Machine Learning and Distributionally Robust Optimization
Wen Xie, Ph.D. 2023
Machine Learning and Unstructured Data Analytics for Digital Marketing
Eyad Shtaiwi, Ph.D. 2023
Reconfigurable Intelligent Surfaces: Channel Estimation and Applications in Future Wireless Networks
Hao Gao, Ph.D. 2023
Mean Field Games and Machine Learning in Distributed Systems
Dawei Chen, Ph.D, 2021
Machine Learning for Multi-access Edge Computing and Autonomous Driving
Mohamed Ali, Ph.D. 2020
Passive Reflection Techniques for Wireless Communications
Xunsheng Du, Ph.D. 2020
Applied Machine Learning with Latent Space Representation and Manipulation
Saeed Ahmadian, Ph.D. 2020
Detecting Cyber-attacks to Smart Grids and Increasing Resiliency Using Data Driven Algorithms
Kuo Chun Tsai, Ph.D. 2020
Link Game Theory and Machine Learning in Theories and Applications
Reginald Banez, Ph.D. 2020
Mean Field Game Theory for Future Heterogeneous and Hierarchical Communication Networks
Neetu Raveendran, Ph.D. 2019
Game Theoretic and Machine Learning Techniques for Efficient Resource Allocation in Next Generation Wireless Networks
Qiuyang Shen, Ph.D. 2019
Statistical Bayesian Inversion of Directional Electromagnetic Logging Data
Sai Mounika Errapotu, Ph.D. 2018
Secure Computing with Privacy Preservation for Cyber-Physical Systems
Huaqing Zhang, Ph.D. 2017
A Hierarchical Game Framework for Distributive Resource Allocation in Future HetNet
Radwa Sultan, Ph.D. 2017
Utilizing Full Duplex Multiple Antenna in Heterogeneous Networks
Fahira Sangare, Ph.D. 2017
RF Energy Harvesting and Information Transfer Implementation in the Internet of Things
Hung Khanh Nguyen, Ph.D. 2017
Big Data Optimization for Distributed Resource Management in Smart Grid
Yunan Gu, Ph.D. 2016
Matching Theory Framework for 5G Wireless Communications
Yanru Zhang, Ph.D. 2016
Contract Theory Framework for Wireless Networking
Erte Pan, Ph.D. 2016
Big Data Analysis of Complex Networks Using Machine Learning Methods
Ali Arab, Ph.D. 2015, Industrial Engineering, joint with Professor Suresh Khator
Asset Analytics of Smart Grid Infrastructure for Resiliency Enhancement
Ateeth Kumar Thirukkovulur, M.S. 2015
Novel infrastructure quantification for utility of virtualized network debugging using openflow as visualization of packets and software defined networking
Lanchao Liu, Ph.D. 2014, winner of National Excellent Ph.D. Student Scholarship
Big Data Optimization for Modern Communication Networks
Najmeh Forouzandehmehr, Ph.D. 2013
Game Theoretical Framework for Dynamic Control in Smart Grid
Nam Tuan Nguyen, Ph.D. 2013
A Nonparametric Bayesian Framework For Mobile Device Security And Location Based Services
Guanbo Zheng, Ph.D. 2013, joint with professor Rong Zheng
Toward Reliable and Robust Wireless Personal Area Networks
Mohammad Esmalifalak, Ph.D. 2013
Attack and Defense Mechanisms for State Estimation in Smart Grid
Thanh Le, M.S. 2013
Sequential Learning for Passive Monitoring of Multi-Channel Wireless Network
Tina J Mathews, M.S. 2012
USRP2 Implementation of Compressive Sensing based Channel Estimation in OFDM
Zhou Yuan, Ph.D. 2012
A Framework Of Belief Propagation and Game Theory for Cognitive Radio Security and Routing
Jia Meng, Ph.D. 2010
Compressive Sensing Applications for Wireless Communications
Barsha Shrestha, M.S. 2008
Wireless Access in Vehicular Environments using Bit Torrent and Bargaining