Recordings of the upcoming webinars (2020) will be available within 7 days after each event and linked to the presentations below. 2016-2019 webinar recordings are available for viewing on CENTRA's Vimeo channel

2020 Global CENTRA Webinar Series

Global CENTRA invites you to attend the following webinars to learn about ongoing and proposed CENTRA collaborative research. The purpose of these webinars is also to engage international researchers in transnational collaborations. Webinar presentations will include descriptions of specific areas or questions where collaborations are desirable and attendees will have the opportunity to follow up with presenters on their interest in engaging in such collaborations. On this page you will find information about the webinar times, dates, speakers and registrations pages that link to the abstract of each presentation (webinar times and dates may be subject to change).

The Global CENTRA Webinars are free and open to all, whether they have been involved in CENTRA member organizations or not. Please invite your colleagues and students interested in these topics and may benefit from interacting with the speakers and CENTRA researchers! Questions? Please e-mail centra@acis.ufl.edu.

Here is a preview of current scheduled webinars and more potential topics being confirmed during the Fall of 2020. More details are being updated here as they become available. Check back to this page often and follow us on Facebook globalcentra and Twitter @globalcentra.

Past Webinars(video recordings can be viewed)


Schedule of Upcoming Webinars

Date: 12/2/2020

9 AM Eastern | Convert to local time | Register for this webinar

InterConnect: European large scale demonstration of IoT interoperability

Speaker: Dr. Fábio Coelho, INESC TEC, Portugal

Short Abstract

True interoperability strikes as one of the major challenges for IoT in the home, building and energy domains. As the number of connected devices increases in our smart homes, detachment from vendor ecosystems via true interoperable data solutions and protocols will allow new data-driven services for consumers, building managers and ultimately for energy sector. InterConnect will install large sale demonstrators across 7 European Countries, reaching out more than 1900 households and several industrial and public buildings. A meaningful cascade funding call within the project will allow for external applicants to enroll and leverage on the interoperability framework to sponsor their own demonstrations.
Photo of Fábio Coelho

Date: 12/16/2020

9 AM Eastern | Convert to local time | Register for this webinar

EdgeVPN.io: Software-Defined Overlay Virtual Private Networks for Edge Computing

Speaker: Dr. Renato Figueiredo
University of Florida

Short Abstract

Edge and fog computing encompass a variety of technologies that are poised to enable new applications across the Internet that support data capture, storage, processing, and communication across the networking continuum: from Internet-of-Things (IoT) devices to edge and cloud data centers. These environments pose unique challenges to the design and implementation of networks: membership can be dynamic, devices are heterogeneous, widely distributed geographically and/or mobile, and potentially assigned private IP addresses constrained by policies of different NAT (Network Address Translation) and firewall middleboxes. This talk overviews EdgeVPN.io, an open-source, software-defined network (SDN) that addresses challenges in the deployment of virtual networks spanning distributed edge and cloud resources. In particular, the talk describes the Evio software architecture, how it leverages standards and open-source software for firewall/NAT traversal (XMPP, STUN, TURN, and WebRTC), how it integrates with open-source SDN software switches (Open vSwitch), and how it supports deployment of unmodified container-based middleware and services (Docker, Kubernetes, and Flannel).
Photo of Renato Figueiredo

Date: 1/20/2021

9 AM Eastern | Convert to local time | Register for this webinar

STAYAWAY COVID

Speaker: Dr. Rui Oliveira, INESC TEC

Short Abstract

Digital contact tracing applications have appeared for the first time in the beginning of 2020, with COVID-19, to complement tradicional tracing in a galloping outbreak that quickly became a world-wide pandemic. Test and trace is central to any infectious disease in order to break the chains of contagion. The “manual” contact tracing protocol is however highly dependent on the people’s memory, and resource and time consuming. Intuitively, a digital proximity tracing protocol that could be run by any individual would easily scale out and contribute to the completeness and efficiency of the process. This is the aim of the many digital contact tracing apps being deployed and whose efficacy will need to be assessed in a few months.
Photo of Rui Oliveira

Date: 2/03/2021

9 AM Eastern | Convert to local time | Register for this webinar

AI-Support Network Control and Management towards Beyond 5G Era

Speaker: Dr. Hiroaki Harai, NICT, Japan

Short Abstract

Digital contact tracing applications have appeared for the first time in the beginning of 2020, with COVID-19, to complement tradicional tracing in a galloping outbreak that quickly became a world-wide pandemic. Test and trace is central to any infectious disease in order to break the chains of contagion. The “manual” contact tracing protocol is however highly dependent on the people’s memory, and resource and time consuming. Intuitively, a digital proximity tracing protocol that could be run by any individual would easily scale out and contribute to the completeness and efficiency of the process. This is the aim of the many digital contact tracing apps being deployed and whose efficacy will need to be assessed in a few months.
Photo of Hiroaki Harai

Date: 2/17/2021

9 AM Eastern | Convert to local time | Register for this webinar

Dynamic Interactions between Human and Information in Complex Online Environments Responding to SARS-COV-2

Speaker: Dr. Yan Wang
University of Florida

Short Abstract

This project advances knowledge of how health and response agencies can better ensure credible information predominates in social media by quantitatively demonstrating the complex roles of social media in information diffusion during the U.S. COVID-19 pandemic response. The research project studies information and human response dynamics in communicating COVID-19 in an online environment, i.e. Twitter. The research identifies key influencers and misinformation sources and examines co-evolution in different information categories over time.
Photo of Yan Wang

Date: 3/3/2021

9 AM Eastern | Convert to local time | Register for this webinar

Management of geospatial time series from ship measurements in the scope of the AIR_DataNet infrastructure

Speaker: Dr. Susana Barbosa, INESC TEC

Short Abstract

An intensive monitoring campaign was recently set-up on board the Portuguese navy tall ship NRP Sagres. A substantial amount (> 10 GB/day) of observations covering multiple domains (space, ocean and atmosphere), was collected over the Atlantic. The dataset resulting from these ship measurements is preserved at INESC TEC's Research Data Management repository and will be made accessible through the AIR_DataNet, a computational infrastructure serving the Atlantic International Research (AIR) center. The ongoing implementation focuses on the development of research data management policies, the set-up of flexible data and metadata models, as well as further data exploration services and interactive computing.
Photo of Susana Barbosa

Date: 3/17/2021

9 AM Eastern | Convert to local time | Register for this webinar

IoT Edge Computing Technologies

Speaker: Dr. Yuuichi Teranishi, NICT, Japan

Short Abstract

The edge computing architecture enables applications to have a shorter response time, reduces the computation load on devices, and localizes the data processing. These properties are suitable for the real-time and context-aware Internet of Things (IoT) applications. We have been developing a dynamic data flow platform for IoT applications in edge computing environments. To avoid the overloads on network and computational resources that are caused by IoT applications, our platform replicates processes and changes the structure of the data flow dynamically on the distributed computational resources located at network edges and data centers. The talk describes the technologies to implement the platform. The talk also presents several evaluation results and use cases.
Photo of Yuuichi Teranishi

Past Webinars

Date: 10/7/2020

9 AM Eastern | Convert to local time

Differential Privacy and its Applications on Data Release and Data Collection.

Video Recording
Speaker: Dr. Chia-Mu Yu
Department of Information Management and Finance, National Chiao Tung University, Taiwan

Short Abstract

Differential privacy can be seen as a de-facto standard for data privacy. Compared to the conventional de-identification approaches such as k-anonymization, l-diversity, and t-closeness, differential privacy can not only have a provable privacy guarantee but also achieve better data utility. Differential privacy has been deployed by government agencies such as the U.S. Census Bureau and commercial companies such as Apple, Google, and Facebook. In this talk, we will overview how differential privacy helps data release and data collection without sacrificing personal privacy.
Photo of Chia-Mu Yu

Date:10/21/2020

9 AM Eastern | Convert to local time

KISTI Supercomputing for COVID-19 Challenges

Video Recording
Speaker: Dr. Sangjae Seo
Korea Institute of Science and Technology Information

Short Abstract

Continuing global pandemic of coronavirus diseases (COVID-19) is a serious threat to global health. Drug repurposing is an attractive approach for the immediate development of treatments for COVID-19. In this regards, it is important to perform high-throughput screening on approved drugs for rapid identification of drug candidates. Our approach utilizing supercomputer resource allowed fast screening of 19,168 drug molecules. We targeted to identify potential drug candidates, which can inhibit the main protease of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Based on the docking calculation and molecular dynamics simulation, we selected 8 drugs as potential candidates, and in-vitro test is undergoing to validate calculation results.
Photo of Sangjae Seo

Date:11/04/2020

9 AM Eastern | Convert to local time

Edge X and IoT technology (KISTI)

Video Recording
Speaker: Dr. Kiwook Kim
Korea Institute of Science and Technology Information

Short Abstract

KISTI is preparing for the convergence of edge computing and IoT as the next challenge for the ScienceLoRa project. As Chicago's AoT (Array of Things) project has shown, the infrastructure that processes IoT data at the local edge can be an enabler for numerous IoT application studies. In particular, AI processing at the edge is an essential part of the research using image/video data. We need to deploy edge computing resources on our IoT network infrastructure (IoT gateways and network servers), unlike in the case of AoT, which has deployed it bundled with the sensors. To achieve this, we plan to upgrade the software structure of ScienceLoRa by utilizing a flexible open-source edge IoT platform called Edge-X Foundry.
Photo of Kiwook Kim

Date: 11/18/2020

9 AM Eastern | Convert to local time

Edge intelligence: QoS-Cost tradeoff for learning-based services at the edge

Video Recording not yet available
Speaker: Dr. Hana Khamfroush
University of Kentucky

Short Abstract

Edge computing is an enabling technology that pushes computationally intensive services to the edge to attain reduced delay due to physical proximity. However, due to hardware constraints of edge clouds, approaches to optimizing the performance of services while minimizing the cost of service implementation has been considered. More recently, different implementations of deep learning based services such as split learning, and federated learning at the edge have been studied. This talk describes the potential challenges of implementing deep learning-based services at the edge and the QoS-cost tradeoff for such implementations. Some initial results will be presented.
Photo of Hana Kamfroush