Upcoming Seminars
Past Seminars
Learning Scheduling and Optimization in Federated Edge Learning – Dr. Yu Wang, Temple University, USA
November 14, 2023
[Abstract and Author Bio] | [Slides] | [Recording]
RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity – Dr. Nan Cheng, Xidian University, China
(Seminar conducted by SIG on AI empowered Internet of Vehicles)
September 1, 2023
[Abstract and Author Bio] | [Slides] | [Recording]
Unleashing the Power of Mobile Edge-Cloud Generative AI Services and AIGC Networks – Dr. Dusit Niyato, Nanyang Technological University, Singapore
August 21, 2023
[Abstract and Author Bio] | [Slides] | [Recording]
On Optimal Partitioning and Scheduling of DNNs in Mobile Edge/Cloud Computing – Dr. Jie Wu, Temple University, USA
July 21, 2023
[Abstract and Author Bio] | [Slides] | [Recording]
On Communication and Sensing Measurements and Modeling for Next “G” – Dr. Nada T. Golmie, National Institute of Standards and Technology, USA
June 15, 2023
[Abstract and Author Bio] | [Slides] | [Recording]
5G and Future G Wireless Security – Dr. Arup Bhuyan, Idaho National Laboratory, USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
January 25, 2023
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Securing and Optimizing Wireless Systems with AI-Native & Data-Driven Wireless Signal Processing in the Physical Layer – Dr. Tim O’Shea, CTO and Co-Founder at DeepSig Inc and a Research Assistant Professor at Virginia Tech, USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
December 13, 2022
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Rethinking Modern Communication from Semantic Coding to Semantic Communication
– Prof. Honggang Zhang, Zhejiang University, China
December 1, 2022
[Abstract and Author Bio] | [Slides] | [Recording]
Blockchain Technology and its Applications to the Internet of Things – Prof. Bhaskar Krishnamachari, University of Southern California, USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
November 11, 2022
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Holographic Radio: A New Paradigm for Ultra-Massive MIMO– Prof. Lingyang Song, Peking University, China
July 22, 2022
[Abstract and Author Bio] | [Slides] | [Recording]
AI and Privacy in Collaborative Spectrum Sharing: Perspectives from the Spectrum Collaboration Challenge and Beyond – Prof. John M. Shea, University of Florida, USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
April 27, 2022
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Algorithmic Sensing in the Age of Artificial Intelligence– Prof. Jun Luo, Nanyang Technological University, Singapore
April 8, 2022
[Abstract and Author Bio] | [Slides] | [Recording]
6G for Information Security and Information Security for 6G – Prof. Aylin Yener, The Ohio State University, USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
March 30, 2022
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Machine Learning Classification of RF Signals over Congested and Contested Spectrum: Algorithms and Experimentation – Prof. Marwan Krunz, University of Arizona, USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
February 23, 2022
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Distributionally Robust Optimization and Its Applications in Communication and Networking– Prof. Zhu Han, University of Houston, USA
January 13, 2022
[Abstract and Author Bio] | [Slides] | [Recording]
Open Set Wireless Transmitter Authorization: Deep Learning Approaches and Practical Considerations– Prof. Danijela Cabric, University of California, Los Angeles, USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
November 19, 2021
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Printable Smart Surfaces for IoT Communication and Sensing– Prof. Xinyu Zhang, University of California San Diego, USA
November 17, 2021
[Abstract and Author Bio] | [Slides] | [Recording]
Brainstorming Generative Adversarial Networks (BGANs): Framework and Application to Wireless Networks– Prof. Walid Saad, Virginia Polytechnic Institute and State University, USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
October 22, 2021
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Adapting PBFT for Use with Blockchain-enabled IoT Systems – Prof. Jelena Mišić, Ryerson University, Canada
October 15, 2021
[Abstract and Author Bio] | [Slides] | [Recording (Password: H^k4NWr=)]
Reliable Federated Learning for Mobile Networks – Prof. Dusit Niyato, Nanyang Technological University, Singapore
August 13, 2021
[Abstract and Author Bio] | [Slides] | [Recording (Password: L62bM!fy)]
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks– Prof. Ekram Hossain, University of Manitoba, Canada
(Seminar conducted by SIG on AI and Machine Learning in Security)
May 26, 2021
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Secure Code Execution on Untrusted Remote Devices – Prof. Gene Tsudik, UCI, USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
April 28, 2021
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: deMMW*E2)]
MetaSensing: Reconfigurable intelligent surface Assisted RF 3D Sensing using Machine Learning – Prof. Zhu Han, University of Houston, USA
March 30, 2021
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: TCCNcs2021!)]
Adversarial Machine Learning for Wireless Security in 5G and Beyond – Dr. Yalin Sagduyu, Intelligent Automation, Inc. (IAI), USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
March 26, 2021
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: +b^HF3CA)]
A Quick Look at New Risks Facing Wireless Systems – Prof. Wade Trappe, Rutgers University, USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
February 25, 2021
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: %DJ3BF4^)]
AI and Machine Leaning in Spectrum Sharing Security – Prof. Rose Qingyang Hu, Utah State University, USA
(Seminar conducted by SIG on SIG on AI and Machine Learning in Security)
January 29, 2021
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: #+v4rh9V)]
Deep Convolutional Neural Networks for Device Identification – Prof. Kaushik Chowdhury, Northeastern University, USA
(Seminar conducted by SIG on AI and Machine Learning in Security)
December 16, 2020
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Secure Computation with Privacy Preservation for Cyber Physical System Applications – Prof. Zhu Han, University of Houston, USA
November 18, 2020
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: ComSoc#TCCN20)]
Physical Layer Security in Wireless Networks – Prof. Vincent Poor, Princeton University
(Seminar conducted by SIG on AI and Machine Learning in Security)
November 17, 2020
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: %#=&2uej)]
Symbiotic Radio: Achieving Mutualism Spectrum Sharing for Wireless Communications – Prof. Ying-Chang Liang, IEEE Fellow and EiC, IEEE Trans Cognitive Communications and Networking
October 20, 2020
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Where No Cognitive Radio Has Gone Before: Machine Learning – Prof. Alexander M Wyglinski, Worcester Polytechnic Institute, USA
September 3, 2020
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
From Cognition to Intelligence in Communications Networks – Prof. Octavia A. Dobre, Memorial University, Canada
August 18, 2020
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
Deep Learning in Wireless Communications – Prof. Geoffrey Ye Li, Georgia Tech, USA
July 24, 2020
[Abstract and Author Bio] | [Registration] | [Slides] | [Recording]