This tutorial provides students with a basic understanding of the challenges involved in designing RF-powered RF-connected integrated circuits (ICs) with on-chip antennas (OCAs). The tutorial begins by discussing the potential cost and performance advantages of creating ICs with OCAs. The design of ICs in which the antenna and conventional circuitry are all fabricated on the same substrate offers advantages in terms of size, weight and cost over conventional RFID/sensor systems in which an IC is assembled onto an antenna substrate; however, it is challenging because the size of the antenna is limited by the die size and its proximity to a resistive ground plane (the IC substrate) both decrease the RF energy that can be harvested to operate the on-chip circuitry. In this Tutorial, we will apply simplifying approximations in order to develop basic equations relating the size and geometry of the antennas to the ability of the OCA-IC to harvest ambient RF energy; and, we will validate those equations with electromagnetic field simulations. The tutorial will also examine the challenging issue of matching the antenna to the on-chip electronics in a way that maximizes the power that can be extracted from an external RF signal.
The Tutorial will consider operation across a range of frequencies and will explore both in-plane spiral antennas and out-of-plane helical antennas. The Tutorial will conclude with an analysis of the case when a large array of OCA-ICs are integrated onto a flexible substrate and powered with large loop antennas

Anyone interested understanding the fundamental limits behind transferring RF energy into small on-chip antennas for use in complete system-on-chip (SOC) remotely powered devices could attend the tutorial. The Tutorial will assume some basic knowledge of electromagnetic waves, but only at an undergraduate level. Electronic circuit design issues will be discussed, but only at a relatively high level.

The following topics will be addressed in this tutorial:

• Background – motivations for system-on-chip and the “burden” of an on-chip antenna
• Motivations for complete antenna+IC system in form of SOC – important application areas
• A discussion of interesting biomedical applications including secure pill id.
• Antenna-system RF coupling analysis
  • Limitations in RF power deliver to OCAs
• Improving RF power transfer
• Improved circuit design
• Applications to larger arrays of SOCs

The aim of this tutorial is to give the audience an overview of the landscape of the future generation of mobile networks, namely 5G. Contrary to popular view, 5G is not expected to be anchored on a single disruptive technology but rather supported by an amalgamation of multiple technologies. In essence, it is an evolution of several key technical advancements, whose synergy is expected to revolutionize the heterogeneity of use cases that can be “simultaneously” enabled by a single network. Such use cases range from throughput-focused mobile broadband (Gigabit peak rates) to latency/reliability-focused mission critical (e.g. augmented/virtual reality, autonomous driving) and density-focused massive connection (IoT) services.

While physical layer advancements in the form of New Radio (NR) are an integral part of 5G, realizing the diverse use cases envisioned, will equally require innovation and flexible orchestration of its access, network and computing layers as well. This tutorial will provide an overview of some of these innovative ingredients that will constitute 5G, from the perspective of not just radio access network, but also core network and services/applications. It will cover topics ranging from communication and networking to architectural designs, automation and use cases, including but not limited to;

• Radio: new radio (NR), mmWave, flexible OFDM numerology, advanced coding
• Access: IoT-optimized access, hybrid access (licensed, shared and unlicensed spectrum)
• Network: cloud deployments, virtualization and network slicing
• Computing: network function virtualization, scalable core design, mobile edge computing
• Automation: network access, provisioning and management
• Case studies of real-world prototypes: Reconfigurable Cloud-RANs, Augmented reality over LTE networks, Self-configuring UAV-based LTE networks

This half-day tutorial will explore edge computing through hands-on development activities using a physical edge computing platform. With the recent trends in the networking ecosystem—the rise of IoT devices, high bandwidth wireless, and powerful, energy-efficient, and inexpensive computation—edge computing is a promising technology for highly interactive and immersive environments. However, there are no widely adopted or standardized platforms for using edge computing. This tutorial aims to promote awareness of the possibilities of edge computing in general and introduce attendees to the tools that they can use to begin exploring this space. The tutorial's activities will give attendees hands-on experience with the ParaDrop edge computing platform developed at the University of Wisconsin-Madison. We hope to impart working knowledge about edge computing and our vision for its future.

Recent developments in home wireless networks such as the proliferation of connected devices (e.g. Internet-of-Things) and gigabit wireless (e.g. 802.11ac) create an environment where edge computing can truly enhance applications. The availability of low latency and high bandwidth at the network edge but not necessarily end-to-end to the cloud, can enable interesting new applications involving video (e.g. augmented reality), low latency sensor-actuator coordination, and other public safety or educational applications. However, before such applications emerge, there needs to be a platform available for them.
We argue that the availability of widespread platforms and standards for edge computing will unleash a new wave of innovation much like the creation of app markets for mobile devices. The hardware exists, e.g. in the form of millions of always-on Wi-Fi routers in homes and businesses, but it is not very programmable. With our tutorial, we aim to foster awareness of the possibilities that exist with edge computing and promote the advancement of research toward good standards for its realization. We introduce the ParaDrop platform as an open source demonstration of our vision for edge computing.
We have been single-mindedly focused on researcher and developer needs in creating the ParaDrop platform. As such, applications that are already written to be run as cloud services can be easily modified to run on the ParaDrop platform in order to benefit from running at the network edge. Applications are not required to be written in a highly specialized language, and applications are able to leverage the rapidly growing software ecosystem surrounding Docker. Our tutorial will give researchers a hands-on experience with the platform and knowledge that they will be able to use beyond the workshop.
Audience Expectations and Prerequisites: The tutorial will be useful for researchers, students, and developers alike. Attendees will be expected to bring their own laptops. We will provide a VM image containing the packages and tools necessary for development. Our development tools are open source and available on Github (https://github.com/ParadropLabs/Paradrop). We will also provide hardware that runs the ParaDrop platform for attendees to see how their code interacts with physical devices. We will release instructional materials prior to the tutorial and distribute printed copies at the venue so that attendees can work through the hands-on activities at their own pace.

Network analytics are widely used in many fields. Increasingly though, the networks of interest are high dimensional. Rather than just focusing on the traditional who is interaction with whom networks, modern network analysis examines the who, what, where, when and why ecology of relations. For example, studies of organizations might look at the social network within the organization as well as the task assignment and knowledge network. Studies using Twitter frequently look at the mentions network at the same time as the hashtag network. Making network science actionable typically involves answering questions about where the network is concentrated or how the network varies over time. This tutorial will cover the basics of Network analytics and demonstrate the use of ORA to support social media analytics using high dimensional network analytics and visualization for social media networks, semantic networks, geo-spatial networks, and dynamic networks. It will cover the basics of visualizing and analyzing time varying networks and spatially positioned networks.
ORA is a powerful network analysis and visualization tool (Carley, 2017). ORA supports the assessment of standard social network data, organizational network data, high-dimensional network data, meta-network data, geo-spatial network data, and dynamic network data.

Those who are interested in assessing social media data, networks derived from texts, groups, organizations or community interaction, or networks with a geo-spatial or dynamic aspect, should attend this workshop. The material and its delivery is suitable for researchers and practitioners, alike. This is designed to be a non-technical workshop, however, by its very nature, the material will involve some mathematics, although this will be minimized as the delivery is driven towards forming an understanding of the concepts, not mastery of the details.

The following topics will be addressed in this tutorial:

• Social Network Analysis
• Dynamic Network Analysis
• Comparing and contrasting networks
• Weighted networks
• Analyzing Social Media data
• Key entity analysis
• Groups, Topic Groups and Community Detection
• Visual analytics
• ORA software
  • Data management, Visualization, Grouping algorithms, Reporting