Title:	Listen to your Health: Reflections on Mobile Health Diagnostics through Audio Signals
Speaker:	Professor Cecilia Mascolo Department of Computer Science and Technology University of Cambridge, UK

Abstract: Considerable research has been conducted into mobile and wearable systems for human health monitoring. This research concentrates on either devising sensing and systems techniques to effectively and efficiently collect data about users, and patients or in studying mechanisms to analyse the data coming from these systems accurately. In both cases, these efforts raise important technical as well as ethical issues.

In this talk, I plan to reflect on the challenges and opportunities that mobile and wearable health systems are introducing for community, the developers as well as the users. This talk aims to pose more questions than answers. I will use examples from my group’s ongoing research on exploring devices collecting audio signals (as well as other more traditional signals) from the human body to understand, track and diagnose health. I will also talk about the ma- chine learning and data analysis challenges imposed by this sort of data using examples from our collaborations with epidemiologists and clinicians.

Biography: Cecilia Mascolo is the mother of a teenage daughter but also a full professor of Mobile Systems in the Department of Computer Science and Technology at the University of Cambridge. She is co-director of the Centre for Mobile, Wearable System and Augmented Intelligence and the recipient of an ERC Advanced Research Grant. Prior joining Cambridge in 2008, she has been a faculty member in the Department of Computer Science at University College London. She holds a PhD from the University of Bologna. Her research interests are in mobile systems for health, human mobility modeling, sensor systems and networking and mobile data analysis. She has published in a number of top tier conferences and journals in the area and her investigator experience spans projects funded by Research Councils and industry. She has received numerous best paper awards and has served as steering, organizing and programme committee member of mobile, sensor systems, networking, data science conferences and workshops. She has delivered a number of keynote talks at conferences and workshops in the area of mobility, data science, pervasive computing and systems. More details can be found at http://www.cl.cam.ac.uk/users/cm542.

Title:	The Edge-ification of the Internet: Implications for the Wireless Edge
Speaker:	Eve M. Schooler Intel Corporation Santa Clara, CA, USA

Abstract: With the shift toward Cloud computing, the phrase “the Cloudification of the Internet” was coined; services were out-sourced to large warehouse-sized datacenters that were often co-located near hydro-electric plants. The pendulum however has swung back in the other direction. Cloud computing has been upended by the emergence of Edge computing. This disruption, “the Edge-ification of the Internet”, is due in part to the growth of the Internet of Things (IoT) and the many IoT use cases for which the Cloud infrastructure is ill-suited or unusable.

At the same time, the ever-increasing number of wireless IoT devices far surpasses the number of people on Earth, the number of mobile devices eclipses the number of fixed hosts, and ever more network traffic originates from wireless and mobile devices. Wireless devices and networks would seem to have come into their own.

Thus in this talk, I examine the impact of Edge-ification on next generation wireless networks. From an industry perspective, I highlight technologies that are pivotal to this network transformation. From a cross-layer perspective, I touch on up-the-stack concerns that figure strongly in the Edge narrative. From an eco-system perspective, I discuss different business models that could challenge the status quo. Finally, I speculate what Climate leadership might look like for Edge deployments.

Biography: Eve M. Schooler is a Principal Engineer and Director of Emerging IoT Networks at Intel. Her current work focuses on developing architectural building blocks to evolve the Internet towards Edge computing, while supporting trusted analytics throughout the infrastructure. She is responsible for setting technical and strategic direction for IoT standards, working closely with the Internet of Things Group (IoTG) and the Next Generation & Standards (NGS) business units. While at Intel, she has led R&D efforts on a range of topics including collaborative anomaly detection to secure enterprise networks, data privacy-preservation in Smart Homes, energy efficiency for the Smart Grid, IoT reputation services, data-centric networking for the IoT, and reverse CDNs for aggregated video streams in Smart Cities.

A recognized expert in distributed systems, Eve has served in leadership positions in various standards bodies, and currently serves on the IETF IoT Directorate and co-chairs the Computing- in-the-Network (COIN) research group. Prior to Intel, she held positions at Apollo Computers (acquired by HP), Information Sciences Institute (ISI), AT&T Labs-Research, and Pollere. Eve obtained a BS from Yale, MS from UCLA, and PhD from Caltech, all in Computer Science. She is the co-recipient of the 2020 IEEE Internet Award for her work on control protocols for Internet telephony and multimedia teleconferencing.