Department Group Manager (DGM), Software and Services, IBM
Haifa Research Lab, Haifa, Israel
Contextual Enterprise Mobile Computing ( Watch the talk intro by Gabi )
Driven by the rapid growth of mobile devices and the Internet of Things, the next wave in computing will need to exploit data and computing at the edge of the network. For example, contextual programming is emerging as the next significant change in way we develop Mobile apps, where real-time pro-active decisions are made based upon the mobile context (e.g., location, time of day, current user task) of a specific user or group of users. To meet the needs of such use-cases, a new paradigm, which we call Adhoc computing, is emerging. This paradigm needs to deal with massive amounts of devices, sensors, and data, both at the edge and in business systems, and must be able to react context in close to real-time. Furthermore, it must handle the heterogeneity in devices/OSs, as well as the lack of reliability, security and/or trust of these devices, and must be able to learn and improve over time. In this collaborative session, we give vertical industry and cross-industry use-cases, and describe IBM technologies and solutions for this new class of computing.
Gabi Zodik is the Mobile First Research Global Leader, as well as the Department Group Manager of the IBM Haifa Research Lab Mobile and Industry Solution Dept. He oversees the lab?s research and development efforts in Mobile, Wearable, IoT, Space Time Services, and emerging Cloud Computing platforms (such as Bluemix).
In his MobileFirst global role, Gabi oversees all the research activities in Mobile. Mobile, Wearable and IoT technologies are revolutionizing our personal lives and transforming the way we do business. MobileFirst technologies from IBM are helping enable this transformation in businesses, whether internally for business processes or externally for customer facing systems using front office digitization. The large variety of heterogeneous platforms is one of the many challenges associated with developing and managing mobile applications. IBM Research is investigating all these hurdles and address the entire application lifecycle as well as the convergence of Mobile, Wearable and IoT technologies. These innovations include: advanced Mobile services for dynamic content management, intelligent automation, Contextual and Location oriented services, Mobile Visual Analytics services, Wearable platforms, security analysis and certification, and application usage analytics. These capabilities support both hybrid and native application development.
He also serves as the relationship manager for IBM MobileFirst with Research. He has an M.Sc. and B.Sc. in electrical engineering from the Technion, and an MBA from the University of Haifa.
Senior researcher, leading the research activities on Internet technologies
Computer Systems & Telematics group, Freie Universität Berlin
A CASE for RIOT and ICN: The Internet of Things
Everyday, exciting new tiny network devices pop up: the Internet of Things (IoT) is already here - from the hardware side. On the software side, however, current platforms make it uneasy to build applications that run on heterogeneous, constrained IoT hardware. In this keynote we discuss the challenges for the IoT from both, the perspective of the operating system as well as the network. We introduce RIOT, the friendly OS for the IoT, and analyze the potentials of Information-Centric Networking (ICN) to enable more robust mobile computing, applications, and services on constrained wireless devices.
Matthias Wählisch graduated from Freie Universität Berlin after studying Computer Science and Contemporary German Literature. He is a senior researcher in the Computer Systems & Telematics group at FU Berlin, where he leads the activities in the field of Internet technologies. Matthias is the PI for several national and international projects. His research and teaching focus on efficient, reliable, and secure Internet communication. This includes the design and evaluation of networking protocols and architectures, as well as Internet topology measurements and analysis. He published more than 150 peer-reviewed papers. Since 2005 Matthias is active within the IETF/IRTF, resulting in seven RFCs and several Internet drafts. He co-chaired or co-organized more than 25 scientific events, such as IEEE ICNP PhD Forum 2013, IEEE LCN 2014, and ACM ICN 2015. Matthias is also member of several technical program committees. His research results have been distinguished multiple times. Amongst others, he was a winning team member of the IPv6 Application Contest 2009 and received the Young Talents Award of Leibniz-Kolleg Potsdam for outstanding achievements in advancing the Internet. He co-founded some successful open source projects, such as RIOT and the RTRlib, where he is still responsible for the strategic development.
Senior Researcher at MMIS Rostock
From Causal Models to Proactive Assistance
Computational State Space Models (CSSMs) provide a means to formally describe dynamic systems. In particular they can be used to describe and reason about the behaviour of human agents or groups of agents. In my talk, I will outline the idea of CSSMs and our implemented system. In addition, I will present ongoing research projects of the group of „Mobile Multimedia Information Systems“ at the Institute of Computer Science and of the department „Ageing of individuals and society“ within the Interdisciplinary Faculty of the University of Rostock, Germany. The talk will cover topics from proactive assistance in smart ad-hoc environments (like meeting rooms or ambient assisted living settings), to automatic recognition of mental disorders, reconstruction of activities of daily living from noisy sensors and assistive systems for people with dementia.
Sebastian is a post-doctoral researcher at the Institute for Computer Science at the University of Rostock. There he works on proactive smart environments in which assistance emerges from a dynamic ad-hoc ensemble of co-located heterogeneous devices. In his research, he addresses different application domains, in particular smart meeting rooms, smart living environments and health care. He completed his PhD at the Technische Universität Dresden in 2009, where he studied computer science and computational logic, with major subjects in the area of logic and artificial intelligence. In addition to his current research on smart environments, he works in the areas of neural-symbolic integration, middleware systems for distributed systems and probabilistic inference.