Director of EdgeAI Lab
Associate Professor
The Department of Electrical & Computer Engineering
Herbert Wertheim College of Engineering
Office: MALA 4124
mingyueji@ufl.edu
Phone: 352-294-8824
Google Scholar Profile, ORCID, ResearchGate, YouTube, GitHub
My research interests lie in the fascinating intersection of machine learning, distributed computing and storage, communication and networking, and information theory. In particular, we are focusing on developing AI algorithms and edge hardware platforms, applying AI to IoT, wireless sensing and wireless networking, and understanding the fundamentals of AI from optimization and information theoretic perspectives.
Openings
We will have multiple PhD openings for Fall 2026 working in the general area of machine learning; cloud/edge computing; wireless communications, networking and sensing; information theory and coding. If you are interested, please send me an e-mail with your current CV or drop by my office. I will be happy to discuss. Please check samples of our research talks on our YouTube channel.
Short Bio and Research Interests
I am an Associate Professor in the Department of Electrical and Computer Engineering and the director of EdgeAI lab at the University of Florida. I received my PhD in 2015 at Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California (USC), Los Angeles, USA. I received my MS degrees in Electrical Engineering (focusing on wireless networks) from University of California, Santa Cruz and in Electrical Engineering (focusing on information and signal processing) at Royal Institute of Technology (KTH), Stockholm, Sweden. Previously, I was a Staff II System Design Scientist at Broadcom Limited, San Diego.
Prof. Daniela Tuninetti from UIC, Prof. Hua Sun from UNT and myself delivered the tutorial on “Distributed Function Retrieval: a Storage and Privacy Perspective” at 2021 IEEE International Symposium on Information Theory (ISIT 2021) held (virtually) in Melbourne Australia in July 2021. The tutorial was scheduled for July 16th 2021, MDT. The slides can be found here.
News
- (12/2025) All members in EdgeAI participated the Warren B. Nelms Annual IoT Conference. Xin Yao and Leo (Xi) Wang did a demo on our NSF UnionLabs project and WirelessOS, and won the 3rd prize for the Demo Competition. These are joint works with Dr. Zhangyu Guan from UMN.
- (12/2025) New paper on resource scheduling on Federated Learning accepted by IEEE International Conference on Computer Communications (INFOCOM) 2026. Congratulations, All!!
- Convergence-Driven Federated Learning with Joint Compression and Computation Optimization, M. Zhan, K. S. Chan and M. Ji.
- (12/2025) Received new Received INL Laboratory Directed Research and Development (LDRD) grant titled “Transformer-Based Self-Attention Mechanism to Address Secure Spectrum Sharing”. Support from INL and DOE is gratefully acknowledged. This is a joint grant with Drs. Imtiaz Nasim, Vivek Agarwal and Prem Narain from INL.
- (11/2025) Received new NSF U.S.-Ireland R&D partnership program Award titled “Collaborative Research: U.S.-Ireland R&D Partnership: Integrated Sensing and Telecommunications for Intelligent Connection and Transmission (INSTINCT)“, Nov. 2025 to Oct. 2028. Thanks for NSF. This is a joint award with Prof. Rong-Rong Chen (University of Utah), Prof. Arman Farhang (TCD), Prof. Dmitry Zelenchuk and Prof. Babar Abbasi (QUB).
- (10/2025) Received new NSF CIRC Award titled “Collaborative Research: CIRC: Dev: UnionLabs: Facilitating Shared Access to Heterogeneous Wireless Testbeds Through Grassroots-Driven Federation“, Oct. 2025 to Sep. 2027. Thanks for NSF. This is a joint award with Prof. Zhangyu Guan (UMN).
- (09/2025) New paper on defensive deception in 2025 IEEE Military Communications Conference (MILCOM).
- Defensive Deception Against Subspace-Based AoA Localization Under Jamming Attacks, A. H. A. Hermida, J. Fu, C. A. Kamhoua and M. Ji.
- (09/2025) New paper on spectrum sharing in 2025 IEEE Military Communications Conference (MILCOM) 6G and Spectrum Security for Critical Communication (6GSECC) Workshop.
- A Novel LDPP-MADDPG Approach for Distributed Power Allocation in mmWave Cellular Networks, X. Yao, A. Bhuyan, X. Zhang and M. Ji.
- (09/2025) New paper on Reflective Intelligent Surface (RIS) in European Wireless 2025, Special Session 1: 6G, Open RAN, and Wi-Fi for Critical Communication.
- Deep Reinforcement Learning for Maximizing Downlink Spectral Efficiency in Non-Stationary RIS-Aided Multiuser-MISO Systems, H. Zhang, X. Huang, Z. Guan, R.-R. Chen, A. Farhang and M. Ji.
- (09/2025) New Journal Paper on Secure Aggregation Accepted by IEEE Transactions on Networking, Congratulations, All!!
- On Secure Aggregation With Uncoded Groupwise Keys Against User Dropouts and User Collusion, Z. Zhang, J. Liu, K. Wan, H. Sun, M. Ji and G. Caire.
- (08/2025) I will be serving as a guest editor with Dr. Xiang Zhang (TU, Berlin) for a special issue on Secure Aggregation for Federated Learning and Distributed Computation for Entropy. Please consider submissions.
- (06/2025) New paper on coexistence in wireless networks in Nuclear Plant Instrumentation and Control & Human-Machine Interface Technology (NPIC&HMIT 2025).
- A Study on Co-Existing Heterogeneous Wireless Networks for Data Transmission within a Nuclear Facility, S. A. Mahmud, I. Nasim, V. Agarwal, S. K. Kasera and M. Ji
- (04/2025) Three papers accepted by IEEE International Symposium on Information Theory (ISIT 2025), Congratulations, All!!
- Communication-Efficient Hierarchical Secure Aggregation With Cyclic User Association, X. Zhang, Z. Li, K. Wan, H. Sun, M. Ji and G. Caire.
- Dual-Lagrange Encoding for Storage and Download in Elastic Computing for Resilience, X. Zhong, S. Lu, J. Kliewer and M. Ji.
- Uncoded Download in Lagrange-Coded Elastic Computing With Straggler Tolerance, X. Zhong, S. Lu, J. Kliewer and M. Ji.
- (03/2025) New paper on secure aggregation uploaded on ArXiv.
- Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association, Xi Zhang, L. Zhou, K. Wan, H. Sun, M. Ji and G. Caire
- (02/2025) New Journal Paper on Federated Learning Accepted by IEEE Transactions on Networking, Congratulations, All!!
- Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization, J. B. Perazzone, S. Wang, M. Ji and K. Chan.
- (02/2025) New Journal Paper on Private Computation Accepted by IEEE Transactions on Communications, Congratulations, All!!
- Fundamental Limits of Multi-Message Private Computation, A. Gholami, K. Wan, T. Jahani-Nezhad, H. Sun, M. Ji and G. Caire.
- (01/2025) New paper accepted by IEEE International Conference on Communications (ICC) 2025, Congratulations, All!!.
- A Bayesian-based Aggregation Approach to Radio Outdoor Heatmap Construction using Federated Gaussian Process, Y. Hu, X. Zhang, I. Nasim, S. Eggers, V. Agarwal, A. Mishra, J. Daw, A. Bhuyan, S. K. Kasera and M. Ji.
- (10/2024) New paper in IEEE Military Communication Conference (IEEE MILCOM), Secure FutureG Wireless Communications and Networked Systems (Secure-FutureG) 2024 Workshop.
- Distributed and Secure Spectrum Sharing for 5G and 6G Networks, A. Bhuyan, X. Zhang and M. Ji.
- (07/2024) Starting in August 2024, I will join the Department of Electrical and Computer Engineering at the University of Florida as an Associate Professor.
- (07/2024) New Journal Paper on Privacy in Federated Learning Accepted by IEEE Transactions on Information Theory, Congratulations, All!!
- On the Information Theoretic Secure Aggregation with Uncoded Groupwise Keys, K. Wan, X. Yao, H. Sun, M. Ji and G. Caire.
- (06/2024) Prof. Daniela Tuninetti from UIC, Prof. Hua Sun from UNT and myself delivered a tutorial titled “Secure Private Cache-aided Distributed Function Retrieval” on June 9th, 2024, at the 2024 IEEE International Conference on Communications (ICC).
- (05/2024) New Paper on the Fundamentals of Data Heterogeneity in Federated Learning Accepted by ICML 2024, Congratulations, All!!
- A New Theoretical Perspective on Data Heterogeneity in Federated Averaging, J. Wang, S. Wang, R.-R. Chen and M. Ji.