2024: PI Saad presented a tutorial at IEEE GLOBECOM 2024, covering learning use cases that emerged from this project.
2024: PI Dhillon delivered an invited seminar at Samsung R&D Institute (SRI) India-Bangalore, titled Spatial Models for Networks: Bridging the Gap Between Industry and Academia, incorporating insights from this project.
2024: PI Saad gave virtual talks at the TRAVERSAL Seminar at the University of Ottawa and Aalborg University, discussing RIS for FSO and broader uses of RIS in next-generation networks.
2024: PI Saad participated in an industry panel at IEEE GLOBECOM 2024, where he discussed the future role of RIS in AI-native networks.
2024: PI Dhillon organized several workshops during this reported period in top IEEE conferences on several topics of interest to this project, such as drone-assisted wireless communications, localization and sensing, software-defined networking, and stochastic modeling. (Details)
2023: PI Dhillon delivered a colloquium seminar on “Stochastic Geometry for Networks” at the University of Pennsylvania.
2023: PI Saad delivered a tutorial at the 5th International Conference on Communications, Signal Processing, and Their Applications (ICCSPA) that integrated key ideas related to RIS and how it will play a role in 6G systems.
2023: PI Dhillon delivered a colloquium seminar on “Stochastic Geometry for Networks” at the Mathematics Department of Virginia Tech.
2023: PI Dhillon delivered the 2023 VT EFO Inspiration Seminar on “Wireless Communication Systems: History, Personal Reflections, and Future Prospects”.
2023: PI Saad participated in the IEEE Women in Communications Engineering (WICE) and Young Professionals (YPs) event organized at IEEE ICC 2023.
2023: PIs Dhillon and Saad participated in multiple panels at IEEE PIMRC 2023, which touched upon the use of RISs in emerging wireless networks.
2023: PI Saad participated in a panel within an event organized by VT’s Center for the Enhancement of Engineering Diversity (CEED) within the Black Engineering Excellence at Virginia Tech (BEE VT), a two-week summer, residential, program for rising junior and senior high school students. Dr. Saad discussed opportunities for future wireless and 6G research.
2023: PI Saad delivered an invited talk at the Lebanese American University (LAU) in which he discussed some ideas from this project, particularly related to the use of AI techniques.
2022: Dr. Saad presented some of the results at various venues, including a tutorial at IEEE GLOBECOM 2022, as well as a tutorial on 6G at the 13th International Conference on Ubiquitous and Future Networks.
2022: The second offering of Dr. Dhillon’s week-long course on Machine Learning for Communications was at IIT Bhubaneswar from January 21 to January 24, 2022.
2022: Dr. Saad delivered a virtual talk at the IEEE Information Theory Society, Bangalore section which was attended by various students of different levels to discuss aspects of this research.
2022: Dr. Saad discussed aspects of this research in a freshman seminar within the VT STEP program for incoming students.
2021: Dr. Saad delivered a tutorial at IEEE ICC 2021 that discussed the role of reconfigurable surfaces in future wireless systems.
2021: Dr. Dhillon delivered a week-long course on Machine Learning for Communications at the JTG/IEEE Information Theory Society Summer School at IIT Kanpur. All lecture videos are available on YouTube.
2021: Dr. Saad participated in panels on 6G systems at the 6G Summit, Big 5G Event and at the Northeastern 6G Symposium during which he discussed future network architectures and spectrum sharing.
2021: Dr. Saad delivered an outreach talk as a part of the CEED Hypatia Seminars, during which he shared his experience on wireless research with the first-year female students at VT.
2020: Drs. Dhillon and Saad organized a workshop related to the NSF SII planning activities, during which they dedicated a session to reconfigurable surfaces.
2020: Simulation codes of the papers related to stochastic geometry will be shared on Dr. Dhillon’s Stochastic Geometry GitHub Page.