IoT Vertical and Topical Summit at RWW2022
10–15 January 2022 // Las Vegas, Nevada, USA



Sangkil Kim, Pusan National University

Talk Title: Machine Learning Approach for RFID-Based Backscattering and Indoor Direction Finding Antenna Systems

Sangkil Kim

Abstract: In this talk, operation principle, architecture, and machine learning technique for wirelessly powered RFID-based backscattering and direction finding antenna system is presented. For the sensor tag-reading and power-delivering algorithm, machine learning techniques, such as support vector machine (SVM), artificial neural networks (ANN), and naive Bayes algorithm, are introduced with experimental verifications. The supervised SVM algorithm significantly improved the reading accuracy of chipless RFID sensor tags due to the superior signal classification performance of the SVM method. The ANN-based adaptive dynamic matching network for magnetic resonant wireless power transfer system improved wireless power transfer distance efficiently. In-door direction finding antenna array system using gradient descent machine learning algorithm is also discussed in this talk.

Biography: Sangkil Kim (M’10-SM’21) received his B.S. degree from School of Electrical and Electronics Engineering, Yonsei University (Magna Cum Laude), Seoul, Republic of Korea in 2010. He received his M.S. and Ph.D. degrees from School of Electrical and Computer Engineering, Georgia Institute of Technology, GA, Atlanta, USA in 2012 and 2014, respectively. From 2015 to 2018, he worked at Qualcomm, inc., San Diego, CA, USA as a senior engineer. He joined the faculty of Department of Electronics Engineering, Pusan National University, Busan, Republic of Korea in 2018. He has published 35 papers in peer reviewed international journals and 5 book chapters. Dr. Kim received the IET Premium Award Microwave, Antennas & Propagation in 2015 and KIEES Young Researcher Award in 2019. He participated in the commercialization of the world 1st 5G mmWave phased antenna array module for mobile devices. He is a member of the IEEE MTT-26 RFID, Wireless Sensors, and IoT Committee. His main research interests are mmWave phased antenna array, machine learning assisted backscattering communication, RF biosensors, energy harvesting and printed RF electronics.


Jens Kirchner, Friedrich-Alexander University Erlangen-Nuremberg

Talk Title: IoT for Healthcare: Trade-Offs Between Diagnosis and Usability

Abstract: The importance of IoT devices in healthcare technology is constantly growing, with central applications in the monitoring of chronic diseases and the detection of sporadic events of a disease. To assure appropriate data quality and coverage, a balance between the (often conflictive) demands from diagnostics and usability has to be identified. The talk will try to give an overview over approaches for that purpose, focusing on the trade-offs between diagnostic features and power consumption, the latter being a central determinant of battery lifetime and thus of data coverage and user acceptance.

Biography: Jens Kirchner received his diploma degree in physics from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany, in 2004. He received his doctorates in 2008 and 2016 from FAU in the fields of biosignal analysis and philosophy of science, respectively. Between 2008 and 2015 he worked at Biotronik SE & Co. KG in Erlangen and Berlin in the research and development of implantable cardiac sensors. He holds several patents in this field of research. In 2015, he joined the Institute for Electronics Engineering at FAU, where he heads the Medical Electronics & Multiphysics Systems group. His research interests lie in medical sensors, with a focus on implantable and wearable sensors as well as powering them by use of inductive power transfer and energy harvesting. A further research area is molecular communications with a focus on the design of experimental testbeds, including steering and detection of nanoparticles as well as optical sensors for microfluidic setups. J. Kirchner is Senior Member of the IEEE with membership in the Communications Society, the Magnetics Society, and the Engineering in Medicine and Biology Society. He is also a member of VDE and the European Microwave Association.


Rainer Matischek, Infineon Technologies Austria AG

Talk Title: Application Studies and Demonstrators Towards Sustainable IoT and Wireless Sensor Systems

Abstract: The rise of the Internet of Things (IoT) offers countless new opportunities by interconnecting all sorts of embedded devices and sensors. In the past decade, various technical advances in the area of wireless communication and miniaturization have been achieved and published. However, before rushing into mass deployment of such embedded sensors, additional factors such as sustainability need to be taken into account. This talk focuses on three aspects of sustainability: a) Reducing components and raw material by exploiting SoC-integration b) tailoring system-energy budgets to application and lifecycle aspects of smart sensors, and c) considering user-friendly provisioning or reconfiguration for increased service life. These topics are discussed in an overview of exemplary proof-of-concept demonstrators of funded research projects where Infineon recently has been involved

Biography: Dr. Rainer Matischek is Principal Research Engineer at Infineon Technologies Austria AG Development Center of Graz. He joined Infineon 2004 and specialized in the area of embedded systems. During his Master Thesis 2006, he started his first research in the area of Wireless Sensor Networks and Internet of Things. Subsequently, in the scope of various related EU-funded and national research projects (eCUBES, SNOPS, CHOSeN, SmartCoDe, IoE) he focused his PhD research in the area of wireless communication and real-time protocols. Besides a few years working in the firmware product development, he finished his PhD 2011, and finally joined the research department. Since 2016, he has been an internal project leader for various funded research projects in embedded wireless and IoT security systems, recently contributing to IoSense, SemI40, DeSSnet, Comp4Drones, and ADACORSA projects.


Valentina Palazzi, University of Perugia, Italy

Talk Title: How to Make IoT Sensors Sustainable?

Valentina Palazzi

Abstract: Internet of Things systems are becoming popular in many different commercial and industrial applications, ranging from health monitoring to logistic support, predictive maintenance, and smart agriculture. The more IoT sensor nodes are pervasively distributed, the more information we have, which allows us to arrange correction procedures more promptly and precisely. However, as the number of IoT devices increases, keeping track of their position and keeping control of their status becomes more challenging. In some applications, sensors can be inaccessible or can be distributed over large areas. In these cases, the energy autonomy of the wireless nodes becomes critical, and the maintenance procedures become complex and demanding. What’s more, the sensors are more and more abandoned in the environment, which may cause pollution issues.
In this talk, we will discuss possible approaches for improving the sustainability of IoT sensors. First of all, we will describe wireless communication approaches enabling battery-less sensor nodes. In particular, we will focus on sensing solutions based on radio-frequency identification (RFID) devices and harmonic transponders. Then, we will describe materials and manufacturing procedures that reduce the footprint of electronic devices and enable innovative sensing approaches. Finally, we will show some of the most recent advances on the subject, and we will sketch out future directions.

Biography: Valentina Palazzi received the M.S. degree in electrical engineering and the Ph.D. degree in industrial and information engineering from the University of Perugia, Perugia, Italy, in 2014 and 2018, respectively. She was Visiting Ph.D. Student with the Tyndall National Institute, Cork, Ireland, in 2015, with the Centre Tecnològic de Telecomunicacions de Catalunya, Barcelona, Spain, in 2016, and with the Agile Technologies for High- Performance Electromagnetic Novel Applications Research Group, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA, in 2017. Currently, she is an associate researcher at the University of Perugia. Her research interests include the design of RF components, wireless sensors, radar front ends, wireless power transfer technologies, additive manufacturing processes, and conformal electronics. Dr. Palazzi was a recipient of the First Place Award of the Student Design Competition on Wireless Energy Harvesting held at the 2016 IEEE MTT-S International Microwave Symposium in San Francisco, the IEEE MTT-S Graduate Fellowship in 2017, the 2017 MTT-S Prize—Italy Chapter Central and Southern Italy, the URSI Young Scientist Best Paper Award conferred at the 2019 URSI Italian National Meeting, and the URSI Young Scientist Award at GASS 2021. She is also the Vice-Chair of the IEEE Microwave Theory and Technique Society (MTT-S) Technical Committee—26 RFID, Wireless Sensor, and IoT. She has co-authored 1 patent, 1 book chapter, and more than 40 scientific papers in international journals and proceedings.


Olga Saukh, Graz University of Technology

Talk Title: Tracking Pollution Transfer for Accurate Air Quality Prediction


Olga Saukh

Biography: Prof. Olga Saukh is an associate professor at TU Graz, Institute of Technical Informatics (ITI) and a research group leader at the Complexity Science Hub Vienna (CSH Vienna). She holds a habilitation degree in Embedded Systems from TU Graz since 2020. She did her postdoctoral training at ETH Zurich in 2010-2016 working in the group headed by Prof. Lothar Thiele in the Computer Engineering and Networks Laboratory. Following her Bachelors in Applied Mathematics from the University of Kyiv, Ukraine in 2002 and her Masters in Applied Computer Science from the University of Freiburg, Germany in 2004, she received her Ph.D. in Computer Science from the University of Bonn, Germany in 2009 under the guidance of Prof. Pedro José Marrón. She received the 2010 CONET Ph.D. Academic Award for her thesis “Efficient Algorithms for Structuring Wireless Sensor Networks”. Her research focuses on networked embedded sensing, algorithm engineering for CPS-IoT, embedded, distributed, and mobile machine learning. She is interested in both the theoretical beauty of algorithm engineering and in solving real-world challenges in environmental, health, and educational domains. She serves on program committees of international conferences. Her publications have been accepted at top conferences and journals such as IEEE/ACM IPSN and ACM ToSN. She received Best Paper awards at IEEE SECON in 2021, IEEE ICPADS in 2017, at ACM/IEEE IPSN in 2011 and in 2015, and at IEEE PerCom in 2014. She is an associate editor at ACM IMWUT and a member of ACM.


Klaus Schilling, University of Würzburg

Talk Title: Perspectives in S5: Small, Smart, Self-organizing Satellite Systems for IoT

Klaus Schilling

Abstract: Increasing capabilities of small satellites enable the realization of global telecommunication networks at limited costs. While on Internet of Space StarLink approaches operability, innovative future systems composed of nano-satellites of a few kilograms allow new perspectives for low latency telecommunication applications in 5G context. But also in Earth observation, new approaches based on distributed sensor networks realized with CubeSats offer interesting perspectives. This presentation will provide an overview of latest developments and will discuss related exemplary advanced CubeSat missions

Biography: Prof. Dr. Schilling had in space industry responsibility in Earth observation and interplanetary satellites (such as HUYGENS to the Saturnian moon Titan and ROSETTA for exploration of comets) before he was appointed professor and chair for Robotics and Telematics at University Würzburg. In parallel, he is president of the research company, Center for Telematics (ZfT) “. His team built the first German pico-satellite UWE-1, launched 2005 to optimize the Internet in space. He published more than 350 papers and received several awards, including the Walter-Reis-Award for Robotic Innovations 2008 (for research in mobile robotics) and 2012 (for medical robotics), an ERC Advanced Grant 2012 for research on control of networked distributed satellite systems, and an ERC Synergy Grant 2018 for “CloudCT” to improve climate models by observations from a formation of small satellites, as well as the Eugen-Sänger-Medal 2021. He is a full member of the International Academy of Astronautics. In international professional societies, he served in IEEE as chair of “TC on Networked Robotics “and in IFAC (International Federation on Automatic Control) as Coordinating Chair for the area “Computers & Control,” after having been TC chair for “Telematics: Control via Communication Networks “and for “Aerospace.”


Frank Schirrmeister, Cadence

Talk Title: Artificial Intelligence and Machine Learning for the era of Hyperconnected IoT Devices

Frank Schirrmeister

Abstract: We are at the cusp of an Era of Hyperconnectivity and Hyperscale Computing, fueled by billions of devices in the Internet of Things (IoT) and its industrial sibling, the Industrial IoT (IIOT). Ericsson predicts that data traffic through commercial networks will grow to 164 exabytes per month in 2025. Video already accounted for 63% of the traffic of 2019’s 33 exabytes per month and will become 76% of the estimated 164 exabytes per month in 2025. 5G adoption could reach 2.8 billion subscriptions at that time, and 5G population coverage is forecast at 55%. Seagate and IDC predict that storage in the “global datasphere” will grow to 175 zettabytes by 2025, up from 45 zettabytes in 2019.
This presentation will discuss requirements for designing systems on chips (SoCs) and systems enabling the era of Hyperconnectivity. Specifically, we will and introduce solutions that the Electronic Design Automation (EDA) industry provides today for Artificial intelligence (AI) and machine learning (ML), as well as trends to address future challenges. In addition, we will also discuss how AI/ML technologies increase development productivity and optimize EDA design processes. Specifically, we will discuss enabling processor and design IP and high-level synthesis to enable optimized circuitry for AI/ML algorithms. Furthermore, we will introduce the requirements for optimized AI/ML designs and specific verification tools for this design category. Advanced node and low power implementation are vital to linking verification to SoC implementation, and we will discuss particular optimizations and 3DIC and Chiplet based integration and analysis. We will use AI/ML for EDA to introduce trends and experiences using AI/ML for formal verification, simulation, and implementation.

Biography: Frank Schirrmeister is senior group director, solutions & ecosystem at Cadence. He leads a team translating customer challenges in the hyperscale, communications, consumer, automotive, aerospace/defense, industrial, and healthcare vertical domains into specific requirements and solutions. In addition, his team focuses on cross-product technical solutions such as 5G, artificial intelligence, machine learning, safety, security, digital twins, and partner collaborations. Frank holds a Dipl.-Ing. in electrical engineering from the Technical University of Berlin, Germany. Before joining Cadence, Frank held senior engineering and product management positions in embedded software, semiconductor, and system development, both in Europe and the United States.


Naoki Shinohara, Kyoto University

Talk Title: Roadmap to a New World with Electricity Like Air

Naoki ShinoharaAbstract: In Japan, we are making a roadmap for R&D of far-field wireless power transfer (WPT) from a wide beam and weak power WPT to a narrow beam and high power WPT with the Japanese government, industries, and academics. In 2021 in Japan, we published a new radio regulation for wide beam WPT in a room. Now we are discussing the next step towards regulations on outdoor wide beam WPT and the narrow beam WPT. In parallel, there is a national project towards enabling Solar Based Space Power (SBSP), a more extensive WPT application in Japan. In my talk, I introduce the recent Japanese activities to make new radio regulations of the WPT and introduce a hopeful roadmap to a new world with electricity like air, created by WPT technology.

Biography: Naoki Shinohara received the B.E. degree in electronic engineering, the M.E. and Ph.D (Eng.) degrees in electrical engineering from Kyoto University, Japan, in 1991, 1993, and 1996, respectively. He was a research associate at Kyoto University in 1996. From 2010, he has been a professor at Kyoto University. He has been engaged in research on Solar Power Station/Satellite and Microwave Power Transmission systems. He was IEEE MTT-S Distinguish Microwave Lecturer (2016-18) and is IEEE MTT-S Technical Committee 25 (Wireless Power Transfer and Conversion) former chair, IEEE MTT-S Kansai Chapter TPC member, IEEE Wireless Power Transfer Conference founder and ExCom committee member, URSI commission D chair, international journal of Wireless Power Transfer (Hindawi) executive editor, the first chair and technical committee member on IEICE Wireless Power Transfer, Japan Society of Electromagnetic Wave Energy Applications adviser and former chair, Space Solar Power Systems Society vice chair, Wireless Power Transfer Consortium for Practical Applications (WiPoT) chair, and Wireless Power Management Consortium (WPMc) chair. His books are “Wireless Power Transfer via Radiowaves” (ISTE Ltd. and John Wiley & Sons, Inc., “Recent Wireless Power Transfer Technologies Via Radio Waves (ed.)” (River Publishers), and “Wireless Power Transfer: Theory, Technology, and Applications (ed.)” (IET), and some Japanese text books of WPT.


Y.-P. Eric Wang, Ericsson Research

Talk Title: Cellular Internet of Things for Industrial Automation, Wearables, and Smart Cities

Eric Wang

Abstract: The main drivers for further cellular technology evolution have always been higher capacity, better coverage, and higher data rates. These drivers have also propelled continued expansion and densification in all the operator networks across the world. In the transition from 4G to 5G, there came a new driving force, which aims to leverage the mightily capable cellular networks to address a full array of new use cases, generally referred to as the Internet of Things (IoT) use cases. These IoT new use cases have a set of new requirements such as device battery life, coverage extension, low device complexity or cost, low or deterministic latency, etc. Although not all these requirements need to be met for one specific use case, the vision has been that the same network can be configured to meet the requirements of different IoT use cases while still excelling in all the key performance indicators (KPIs) for the established use cases such as voice and mobile broadband. This talk provides an overview of Cellular IoT technologies and how they meet the requirement of industrial automation, wearables, and smart cities use cases. It will cover both massive IoT technologies, such as NB-IoT and LTE-MTC, as well as broadband IoT technologies, such as the newly introduced features for connected Reduced Capability (RedCap) New Radio (NR) devices.

Biography: Y.-P. Eric Wang is a Research Leader at Ericsson Research in Santa Clara, CA. He holds a PhD degree in electrical engineering from the University of Michigan, Ann Arbor. In 2001 and 2002, he was a member of the executive committee of the IEEE Vehicular Technology Society and served as the society’s Secretary. Dr. Wang was an Associate Editor of the IEEE Transactions on Vehicular Technology from 2003 to 2007. He has been a technical leader in Ericsson Research in the area of Internet of Things (IoT) connectivity. Dr. Wang was a corecipient of Ericsson’s Inventors of the Year award in 2006. He has contributed to more than 200 US patents and more than 50 IEEE articles, and is a co-author of the book “Cellular Internet of Things: From Massive Deployments to Critical 5G Applications”.


Frank Zeppenfeldt, European Space Agency

Talk Title: