Date: Monday, 6 April 2020
Room: Canal Room
The co-evolution of the Internet of Things (IoT) and communication systems has only compounded interest in and growth of technologies in this area. While sensing techniques and methods have evolved as has data intelligence through machine learning, the benefits of the IoT will mean little without having a fast, efficient and robust network with which to move this data around. Will the data from the mushrooming collection of ‘things’ overwhelm networks? How will different connectivity solutions suit different application areas with differing requirements for bandwidth, latency and energy efficiency? With 5G technology now deploying, there are new opportunities for both industry and government to leverage this increase in connectivity to better distribute data among many different types of networks up and into the cloud. This track seeks to address the challenges in technology and policy related to moving data throughout the IoT as well as note novel applications.
Some particular themes of this track include, but are not limited to the following:
- Communication Networks for IoT
- Physical Layer communication protocols
- Radio-frequency Identification (RFID) technology
- What’s after 5G?
Jacqueline Walker University of Limerick, Limerick Ireland
Dr Jacqueline Walker is a lecturer in the Department of Electronic and Computer Engineering at the University of Limerick, Ireland where she teaches in Cloud Computing,and Mobile Wireless Communications. Dr Walker gained her BE degree with first class honours from The University of Western Australia and her PhD degree from Curtin University of Technology where she made significant contributions to time transfer and synchronization in communications networks. She has also published in biomedical, speech and music signal processing and is currently pursuing research in software radio for a variety of satellite applications and also for use in engineering education.
Monday, April 6th “Canal Room”
8:30-10:30– Session 1 – “IoT Changing Communications in the Wider World”
Talk 1: “IPv6-based New Internet Empowering Super IoT and Next Generation Wireless.” Latif Ladid, University of Luxembourg, Luxembourg
Talk 2: “Combining IoT and ML for Situation Slassification” “Gürkan Solmaz, IoT Research Group, NEC Laboratories Europe, Germany”
Talk 3: “The Rise of the Decentralized Platform Economy” Brad Kirby, Vice-President Business Development, EDJX, Toronto, Ontario, CA”
Panel Discussion: “The Internet of Things – Securing and Changing our World” “Dr Jacqueline Walker”
10:30am-11:00am – Networking Break
11:00am-1:00pm – Plenary Session
1:00pm-2:00pm – Lunch
2:00pm-4:00pm-Session 2 – “Managing impact of IoT on Networks”
Talk 4: “US Department of Homeland Security: Advancing Towards a More Resilient and Safe Posture in A Connected World” Cuong Luu, Office for Interoperability and Compatibility Technology Center, Science and Technology Directorate, U.S. Department of Homeland Security
Talk 5: “Spectrum Vulnerability: Implications for IoT” Keith Gremban, University of Colorado Boulder, USA
Talk 6: “Participatory Data Sensing for IoT Networks” Bala Krishna Maddali, GGS Indraprastha University, New Delhi, India
Panel Discussion “Coping with IoT Impact on Networks” “Dr Jacqueline Walker”
4:00pm-4:30pm – Networking Break
4:30pm-6:30pm– Session 3 –
Talk 7: ”Kubernetes: Towards Deployment of Distributed IoT Applications in Fog Computing” Paridhika Kayal, University of Toronto
Talk 8: “5G and IoT” Narang N. Kishor, Narnix Technolabs Pvt. Ltd, India
Wrap-up Chris Valente and Dr. Jacqueline Walker
Christopher R. Valenta, Georgia Tech, Atlanta, GA
Christopher R. Valenta is currently a senior research engineer at the Georgia Tech Research Institute Electro-optical Systems Laboratory where he acts as the EO Systems Innovation Division Associate Chief and Opto-Electronics branch chief. His research interests lay in wireless power, radio frequency identification, remote sensing, active-passive electro-optics, optical system design, microwave and milli-meter wave sensing, and digital signal processing. Dr. Valenta is also an adjunct professor in the Georgia Tech School of Electrical and Computer Engineering, the winner of the 2015 IEEE Microwave Magazine Best Paper Award, and a registered professional engineer in the state of Georgia.
Narang N. Kishor, Narnix Technolabs Pvt. Ltd, India
Kishor is Technology Consultant, Mentor & Design Architect in Electrical, Electronics & ICT with over 40 years of professional experience in education, research, design and consulting. Over 30 years of hardcore Research and Design Development Experience in Solutions, Systems, Products, Hardware, Software & Firmware (Embedded Software) in fields of Industrial, Power, IT, Telecom, Medical, Energy and Environment, and over 10 years of Consultancy Experience to different segments of business & industry. He has over 200 Research & Design Mentees in the Electronics, ICT & STI Ecosystems. Professionally, he is an Electronics Design Engineer practicing design & development of a wide spectrum of Products, Systems & Solutions as an Independent Design House – NARNIX since 1981.
For last 10 years, deeply involved in Standardization in the Electrical, Electronics, Communication and Information Technology Domains with focus on Identifying Gaps in Standards to address Interoperable Systems & Solutions Deployments and bring Harmonization by defining standardized interfaces to ensure End-to-End Interoperability. Currently leading the Standardization activities as the Chairman of Smart Infrastructure Sectional Committee LITD 28 in BIS the Indian National Standards Body, Vice Chair – Strategy & Convenor – Reference Architecture WG in IEC Systems Committee on Smart Cities, Project Leader – IEC TS 63188 ED1 – Smart Cities Reference Architecture Methodology, Project Leader – IEC 63205 ED1 – Smart Cities Reference Architecture, Member Steering Committee – OCEANIS (The Open Community for Ethics in Autonomous and Intelligent Systems) & Co-Editor – ISO 30145 on Smart City ICT Reference Frameworks…
Latif Ladid, Founder & President, IPv6 Forum, Research Fellow at University of Luxembourg, Luxembourg
Professor Latif Ladid is a member of Secan-Lab part of the Interdisciplinary Centre for Security,Reliability and Trust (SnT) at the University of Luxembourg where he has worked on many European Commission funded Next Generation Technologies IST Projects focused on IPv6. Latif is Vice-Chair of the ETSI IPv6 Industry Specification Group, Founder and President of the IPv6FORUM (www.ip6forum.org), a Board Member of the IPv6 Ready & Enabled Logos Program and an Emeritus Trustee of the Internet Society (www.isoc.org). He is a member of the 3GPP Project Co-ordination Group (PCG) (Board) and of the IEEE 5G Initiative Steering Committee (Future Networks Initiative) and IEEE IoT Steering Committee. He represents Luxembourg on the Future Internet Forum of EU member States. He has been a recipient of the IPv6 Forum Internet Pioneer Award in 2002 and the IPv6 Life Time Achievement Award in 2016.
Talk Title: IPv6-based New Internet empowering Super IoT and Next Generation Wireless.
Abstract: The IANA central IPv4 address space has been fully depleted back in February 2011 making the deployment of new large-scale networks especially IoT networks not scalable and not what IoT really stands for. Hence the new IP protocol IPv6 has been designed to cater for this already back in the 90s and waiting for its killer apps to take off. 4G was the first one to adopt IPv6 in larger scale.
The IPv6 Deployment worldwide is becoming a reality now with some countries achieving more than 50% user penetration, with Belgium (58%) at the top ranking (http://labs.apnic.net/dists/v6dcc.html) and reaching double digits v6 coverage on Google IPv6 stats. Many Autonomous Networks (ASN) reach more than 50% with v6 preferred or v6 capable penetration: (http://labs.apnic.net/ipv6-measurement/Economies/US/). Over 900 Million users are accessing the Internet over IPv6 and probably not even knowing it.
The US was by far the biggest adopter of IPv6 with some 100 Million users, but India has surpassed the US with over 350 M IPv6 users, followed by China ( over 200 M), Brazil (50M), Germany and Japan with some 30 + M users. Worldwide IPv6 deployment has passed the 30 % Google usage bar doubling every 18 months (http://www.google.com/intl/en/ipv6/statistics.html ). If this trend continues, we should achieve 50% by 2022 which would be the inflection point when the full roll-out of IPv6 becomes a strategic plumbing decision of the networks, a topic that is avoided so far due to many strategic and resources issues (lack of top management decision-making, lack of v6 skilled engineers and v6 deployment best practices, very limited ISP v6 access deployment, ..).
The deployment of Carrier-grade NAT is in full swing making networking and user experience more brittle. IPv6 will kick in big time for IoT and 5G to take them to the next level which are “Things-to-Things” beyond the current network of things under the non-IP IoT umbrella as Kevin Ashton coined the term IoT for RFID back in 1990 before even RFID suported the IP stack and still today does not yet. This is another technology myth or fake news. IoT will suffer immensely under lack of built-in security which together with cybersecurity issues are like always brushed over at this stage due mainly to lack of IPv6 security skills.
New topics are more on the lime light such as Cloud Computing, SDN, NFV, 5G with no attention to the issues dragged by IPv4/NAT/CGNAT. These fields are taking IP networking for granted designing them on IPv4/NAT building non-scalable and non-end to end solutions. The IPv6 Forum is driving new initiatives to garner support and create awareness on the impact of IPv6 on topics such as real IoT, open Cloud Computing, openstack based SDN-NFV and IPv6 only 5G.
Gürkan Solmaz, IoT Research Group, NEC Laboratories Europe, Germany
Gürkan Solmaz is a Senior Researcher in the IoT Research group at NEC Laboratories Europe in Heidelberg, Germany. His research interests include mobile computing/networking, mobility, and cloud-edge systems aspects of IoT with a particular focus on crowd mobility in smart cities as well as autonomous vehicles/drones in IoT applications. He received his BS degree in Computer Engineering from Middle East Technical University (METU) in Turkey and his MS and Ph.D. degrees in Computer Science from the University of Central Florida (UCF) in the USA. He co-authored more than 30 papers and he was co-recipient of two best paper awards and the UCF Computer Science Ph.D. Student of the Year First Runner-up award. He has been a regular member of the technical program committees of IEEE conferences and a member of IEEE, Communications Society (ComSoc), ACM, SIGMOBILE, and ACM Future of Computing Academy (FCA).
Talk Title: Title: Combining IoT and ML for situation classification
Abstract: The internet of things (IoT) has been expanding in domains through an increased number of IoT devices and the vast deployment of sensors. Simultaneously, there have been significant advancements in machine learning (ML) due to the increased availability of data and computation capabilities. We consider that IoT, together with ML, would enhance our lives in the future. This talk focuses on combining IoT and ML for what we call situation classification. Situation classification targets generating insights through an accurate understanding of the context in the given environment. Thus, it is a specific problem of context awareness, which has been enabling various new applications and interactions between objects, humans, and computers.The particular theme of this talk is the situation classification for future smart cities and smart mobility applications, where we generate insights for relevant events happening in urban areas. For instance, we may detect situations such as accidents, emergencies, and traffic congestion in smart cities in real-time to improve the responsiveness of the city to such incidents. Moreover, IoT data captured from various sensors may enable us for more efficient crowd management and enhanced public safety. Lastly, autonomous systems such as autonomous driving vehicles, robots, and unmanned aerial vehicles would certainly benefit from situation classification by accurately understanding their environment and making decisions and planning based on their enhanced perspectives of the environments.
Bala Krishna Maddali, GGS Indraprastha University, New Delhi, India
Bala Krishna Maddali (M. Bala Krishna) received Bachelor of Engineering (B.E.) Degree in Computer Engineering from Delhi Institute of Technology (presently Netaji Subhas University of Technology and formerly Netaji Subhas Institute of Technology), University of Delhi, Delhi, India and Master of Technology (M.Tech.) Degree in Information Technology from University School of Information Technology (presently University School of Information and Communication Technology), Guru Gobind Singh Indraprastha University, Delhi, India. He received Doctor of Philosophy (Ph.D.) Degree in Computer Engineering from JMI Central University, New Delhi, India. He had worked as Senior Research Associate and Project Associate with the Indian Institute Technology, Delhi, India. He worked as Research Associate with the University School of Information Technology, Guru Gobind Singh Indraprastha University, Delhi, India. He is presently working as Assistant Professor in University School of Information and Communication Technology, Guru Gobind Singh Indraprastha University, New Delhi, India. His areas of interest include computer networks, wireless networks, mobile communication networks, network security and Internet of Things. He has publications in International Journals, Conferences, and Book Chapters. He is IEEE Senior Member. He has served as the Workshop Co-Chair and Tutorial Chair/Co-Chair for IEEE Conferences. He has organized the IEEE and ACM Workshops. He is Technical Program Committee (TPC) member for IEEE Conferences.
Talk Title: Participatory Data Sensing for IoT Networks
Abstract: Participatory Sensing comprises of entities and groups that sense the attributed task and contributes for cooperative and collective communication in the network. Smart embedded devices sense the surrounding, initiate the data forwarding process and create new tasks for the neighborhood nodes. Historical data combined with current location-aware sensing considerably reduce the sensing cost. Smart phone users intentionally increase the sensing cost to maximize the incentives, hence location-aware data sharing approach is used to restrict the coverage cost in the network. Mobile crowd sensing based on sensing environment, network topology and current social requirements address the tasks such as data collection and sensing by router nodes and server nodes. The context awareness focuses on specified targets and improves the user participation in the network.
Cuong Luu, Office for Interoperability and Compatibility Technology CenterScience and Technology DirectorateU.S. Department of Homeland Security
Cuong Luu serves as a Program Manager in the Office for Interoperability and Compatibility Technology Centers Branch under the Office of Science and Engineering Division within the U.S Department of Homeland Security’s Science and Technology Directorate. In this role, he is responsible for managing, researching, and coordinating in emerging technologies for communication systems.
Mr. Luu has an extensive background in applied program and project management. His experience has focus on large, complex technology based projects with an emphasis on management of technology driven services. Cuong Luu experience includes telecommunication, network administration, Information Technology services, and federal and regional government agencies.
Talk Title: US Department of Homeland Security: Advancing Towards a More Resilient and Safe Posture in A Connected World
Abstract: DHS Science and Technology Directorate supports the mission of the Department of Homeland Security. Our DHS mission is to ensure a homeland that is safe, secure, and resilient against terrorism and other hazards. The foundation of our national homeland security strategy is based on three key concepts: security; resilience; and customs enforcement. By focusing on these concepts DHS is able to keep the United States secure while enabling legitimate trade and travel. DHS S&T will leverage the internet of things (IoT) advancement to help create a data-driven environment to help accomplish our mission. Come join DHS S&T to further explore ways to make IoT an integral part of our nation’s security fabric.
Paridhika Kayal, University of Toronto
Paridhika Kayal is a third-year Ph.D. student in the Electrical and Computer Engineering Department at the University of Toronto, working under the supervision of Prof. Jorg Liebeherr. Her research interests lie in the field of Mobile computing/Networking with a particular focus on Distributed IoT Applications in Fog Computing. She attained her Bachelor’s in Computer Science from the International Institute of Information Technology Hyderabad (IIIT-H) in India and her Master’s in Computer Networking from the North Carolina State University (NCSU) in the USA. She wrote her master’s thesis on “A comparison of IoT application layer protocols through a smart parking implementation” under the supervision of Prof. Harry Perros. She will be serving as a Fellowship Co-Chair on the N2Women Board for the next two years. She is a student member of the IEEE, IEEE Computer Society, IEEE Communications Society, ACM, SIGMOBILE, and SIGSOFT.
Talk Title: Kubernetes: Towards Deployment of Distributed IoT Applications in Fog Computing
Abstract: Fog computing has been regarded as an ideal platform for distributed and diverse IoT applications.Fog environment consists of a network of fog nodes and IoT applications are composed of containerized microservices communicating with each other. Due to limited resources, it is of tennot possible to deploy containers of an application on a single fog node and hence the containers need to be distributed on multiple fog nodes. Distribution and optimization of containerized IoT applications in the fog environment is a recent line of research. Kubernetes has evolved as an open-source automation framework for deploying, managing and scaling containerized applications. Despite the progress made by the academia and industry with respect to container management and the wide-scale acceptance of Kubernetes in cloud environments, container management in fog environment is still in its infancy and needs a well-justified approach to tackle the challenges associated to it. This talk will first provide a high-level-overview of Kubernetes architecture followed by discussing the limitations of Kubernetes towards the deployment of containerized applications in the fog computing environment. This discussion aims to demonstrate the industrial feasibility of such a model and address the challenges using the practical experience of the speaker, for the deployment of an IoT application on the network of Raspberry Pi’s. The presentation will also look into the improvement scope in the Kubernetes orchestration architecture to adapt to the needs of the fog environment.
Keith Gremban, University of Colorado Boulder, USA
Dr. Keith Gremban is a Research Professor in the Technology, Cybersecurity, and Policy (TCP) Program at the University of Colorado Boulder. Keith has over 30 years of experience in systems engineering and advanced technology development. His research interests are in radio frequency (RF) spectrum measurement, modeling, management, and security, along with wireless communications and IoT.Prior to joining the University of Colorado, Keith was the Director of the Institute for Telecommunication Sciences (ITS), which is the research and engineering laboratory for the U.S. National Telecommunications and Information Administration (NTIA). Keith was also a Program Manager at the U.S. Defense Advanced Research Projects Agency (DARPA) where he managed a portfolio of programs inthe areas of wireless communications and electronic warfare. Keith received his Ph.D. and M.S. in Computer Science from Carnegie Mellon University, and his M.S. in Applied Mathematics and B.S. in Mathematics from Michigan State University. He is currently the Editor-in-Chief of the IEEE Internet of Things Magazine.
Talk Title: Spectrum Vulnerability: Implications for IoT
Abstract: The Internet of Things (IoT) is growing at an amazing pace and is reaching into more and more domains. Because of the benefits in terms of low deployment and reconfiguration costs, most new deployments are connecting IoT devices using wireless communciations. Some analysts estimate that by 2025, over 90% of internet endpoints will be connected wirelessly. While convenient and cost- effective, wireless solutions also present additional security vulnerabilities. In particular, this talk explores spectrum vulnerabilities; that is, vulnerabilities arising at the radio frequency (RF) layer. We will present several real world case studies of spectrum vulnerabilities, and present recommendations for IoT developers to observe in designing, deploying, and maintaining IoT solutions that are reliant on wireless communications.
Brad Kirby, Vice-President Business Development, EDJX, Toronto, Ontario, CA
Brad is a seasoned finance, treasury and capital markets professional with a passion for innovative technology and digital transformation. He has a strong entrepreneurial spirit and after launching his first start-up in 2004, his professional career commenced at Deloitte in 2007. After the 2008 financial crisis, he achieved his Chartered Accountant designation and was offered a transfer to Deloitte’s financial advisory group in Cayman Islands, the capital of hedge funds. The crisis revealed unprecedented level of fraud and insolvency committed onshore by investment managers, tasking firms like Deloitte with challenging asset recovery, restructuring, and forensic litigation engagements to recover assets for investors. Engagements included Madoff and Level Global and Bras was also instrumental in creating proprietary data analytic software, developing a custom fund management system In 2013, he moved back to Toronto to join Brookfield Asset Management, the world’s largest real asset manager and spent 5 years splitting time as Brookfield’s global finance transformation initiatives while also overseeing global capital markets and treasury, which included $400B of debt, 400 lending relationships, and over $1T in annual derivatives trading for financial risk management – the largest non-financial institution FX trader on Wall Street. He was the youngest officer of the company and a trusted fiduciary of over $250B of assets. In 2017, he was named Director of Brookfield’s private equity pubco (BBU), where he was instrumental in executing 13 acquisitions in 10 months totaling $21B in 6 countries. in 2018, Brad left Brookfield to pursue his passion for technology and launched DLT Advisory, a consulting firm focusing on fintech and distributed ledger technology start-ups. In June 2018, an advisory relationship formed and Brad joined EDJX full-time in summer 2019.
He is considered a though leader in finance, technology and distributed ledgers. He has recently taught Crypto Economics at York’s Engineering School, sitting on panels with central bank researchers, publishing in academic journals and speaking at various conferences, including Edge Computing World in Dec. 2019 and IT Tech Expo in Feb. 2020.
Talk Title: The Rise of the Decentralized Platform Economy
Abstract: Today Microsoft, Apple, Amazon, and Alphabet (Google) are the four largest public companies in the world, each valued at over $1 trillion. Facebook and Alibaba are number five and number six. Not until the seventh spot does a non-tech company appear (Warren Buffett’s Berkshire Hathaway). How did so many technology companies rise to become the most valuable in the world – the answer is the digital platform economy!
By definition, platform economy companies eliminate trade barriers between consumers and producers, often disrupting traditional business models. Uber, Airbnb and Netflix are great examples of the digital platform economy. Many significant tech innovations have contributed to this (see: the Internet), but recent innovations including powerful mobile phones and cloud computing have enabled the spread of the digital platform economy, with no end in sight. There is no doubt that the rise of the platform economy has had a significant impact on our daily lives. This includes a more open economy, information sharing, and new opportunities.
A number of legitimate concerns about the digital platform economy have been raised. The centralization and power amassed via data collection has demonstrated that centralized platforms often lack stewardship; data security and misuse fines are now an expense line item. From abusive ad practices, regular antitrust claims, election interference, privacy violations, and a sprawling list of consumer data breaches, these platform companies continue to lose public trust. To date, tens of billions of user accounts have been compromised— and counting.
Re-democratizing our computing infrastructure is becoming a viable solution. As IoT inventions integrate into our environments, developers will rely on edge computing to deliver ultra-low latency, high performance applications at planet scale, along with robust security and privacy controls.
The following factors are key contributors:
- Humanity is moving from the information age (spawned by the World
Wide Web) and is embracing the “Age of Experience”, which will require
- Business models often depend on information to generate revenue,
which may not be shared in a decentralized P2P (peer to peer) platform
- Developers are disenchanted with many major platform companies.
- There is clear evidence that leadership philosophy on business models
may not adapt. For example, Facebook is trying to create a
“decentralized” digital currency, yet their only service offering is
their wholly-owned “Calibra” wallet— an application similar to a bank
account where centralized transaction data will reside (and generate