In 1990 Peter Senge published his seminal work, “The Fifth Discipline.” The five disciplines contained in the book are key to successful organizations, and have profoundly changed organizations that have adopted them. They are particularly important to the success of Scrum teams; in fact, they are part of the foundation of Scrum. However, many Scrum practitioners are not aware of the five disciplines. In this tutorial, you will learn about the five disciplines and how they are the foundation of team transformation. You will participate in group exercises that explore how to apply them to unleash the power of Scrum in your organization.

Neil Harrison is a professor and chair of the department of computer science at Utah Valley University. He is the author of numerous articles on software patterns, software architecture, and agile software, and is the co-author of the seminal book, “Organizational Patterns of Agile Software Development.” He is the namesake of the “Neil Harrison Shepherding Award”, given at pattern conferences for outstanding shepherding. He is a member of the Hillside Group, and has served on its board of directors. He is formerly a Distinguished Member of Technical Staff at Bell Laboratories/Avaya Labs. He has computer science degrees from Brigham Young University, Purdue University, and the University of Groningen.

Optical fiber sensors are advantageous because they are immune to electromagnetic interference, are inert, and the interrogation system can be removed a long distance away from sensing location. This paper presents the results of high strain rate measurements with example measurements in an electromagnetic railgun and body armor. Optical fiber sensors have also been applied in harsh environments with measurements of temperature up to 1000 degrees C, measurement of electric field within the beam of a high-power microwave weapon, and high electric field up to 18 MV/m.

Stephen M. Schultz has received B.S. and M.S. degrees in electrical engineering from Brigham Young University, Provo, UT, in 1992 and 1994, respectively. He received a Ph.D. in electrical engineering from the Georgia Institute of Technology, Atlanta, GA, in 1999. He worked at Raytheon Missile Systems from 1999-2001. He has taught at Brigham Young University since 2002 and is currently a Full Professor. He has authored or coauthored over 100 publications and holds 10 patents. His research interests are in the area of optical fiber devices with an emphasis on optical fiber-based sensors.

Energy-efficient computation is an inevitable trend for mobile edge computing (MEC) networks. Resource allocation strategies for maximizing the computation efficiency are critically important. In this talk, computation efficiency problems are formulated in the MEC networks under both partial and binary computation offloading modes. A practical non-linear energy harvesting model is considered. Both time division multiple access (TDMA) and non-orthogonal multiple access (NOMA) are considered and evaluated for offloading. The local computing frequency, the offloading mode, the offloading time, and transmit power are jointly optimized to maximize the computation efficiency under the max-min fairness criterion. Moreover, the tradeoff is studied between the computation efficiency and the computation throughput. Performance results show that the partial computation offloading mode outperforms the binary computation offloading mode and NOMA outperforms TDMA in terms of computation efficiency.

Prof. Rose Qingyang Hu is a Professor of Electrical and Computer Engineering Department and Associate Dean for Research of College of Engineering at Utah State University. Besides more than 12 years’ academia research experience, Prof. Rose Hu has more than 10 years R&D experience with Nortel, Blackberry and Intel as technical manager, senior research scientist, and senior wireless system architect, actively participating in industrial 3G/4G technology development, standardization, system level simulation and performance evaluation. Her current research interests include next-generation wireless communications, wireless network design and optimization, Internet of Things, AI/ML, Cloud computing/Fog computing, Mobile Edge Computing, wireless system modeling and performance analysis. She has published over 200 papers in leading IEEE journals and conferences and holds over 30 patents in her research areas. Prof. Rose Hu is an IEEE Communications Society Distinguished Lecturer 2015-2018, IEEE Vehicular Technology Society Distinguished Lecturer 2020 – 2022, and recipient of Best Paper Awards from IEEE Globecom 2012, IEEE ICC 2015, IEEE VTC Spring 2016, and IEEE ICC 2016. She served as TPC Co-Chair for IEEE ICC 2018 and will beTPC Co-Chair for IEEE Globecom 2023. She is currently serving on the editorial boards for IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Communications Magazine, IEEE Wireless Communications Magazine. Prof. Rose Hu is a Fellow of IEEE and a member of Phi Kappa Phi Honor Society.

It is predicted that the integration of autonomous UAS and urban air vehicles will have a major impact on the global economy and the National Airspace System. In some cases, the new aircraft equipment will be technology disrupters. As an industry, a community, and as educators, we must be prepared for this new reality in cargo and people transportation. We are proposing a 90 minute panel discussion focused on the opportunities and challenges of autonomous unmanned aircraft systems and urban air vehicles The panel session on the future of autonomous and urban air vehicle systems and will include focused table discussion on the following topics that will then be shared and discussed as a group: • Public perceptions, safety and risks • Business & economic development opportunities • The regulatory environment: Equipment & personnel certification, maintenance, operation, and training requirements • Vehicle design, technology & testing • Urban air mobility and autonomous UAS: Infrastructure & integration requirements

Approximately 6 panelists, each taking 5 minutes to outline where they find the opportunities and challenges of autonomous UAS and Urban Air Mobility in the not too distant future. Additional panelists listed in case of • Government, Regulatory - FAA • Utah State University – Aggie Air, Dr. Calvin Coopmans • UDOT – Jared Esselman • UVU – Stephen Ley • Fortem Technologies – Adam Robertson • Deseret UAS - TBD • Rio Tinto – Mark Harris (alternate)

Polar codes are a new family of error correction codes that provably achieve channel capacity. The codes have fast O(N log N) encoding complexity and fast O(N log N) decode complexity, with non-iterative decoding and with soft decision decoding. Polar codes are based on fundamental results in information theory, basically derived from the chain rule for mutual information. The tutorial will present the basics of the polar code formulation, “polarization,” encoding algorithms, and decoding algorithms. Extensions to listbased decoding will also be presented. Comparisons will be made between polar codes and other modern codes such as LDPC codes.

Todd K. Moon is a professor of Electrical Engineering at Utah State University, where he has been since 1991. His research interests include digital communication, signal processing, and error correction coding. He is the author of two graduate-level textbooks, including “Error Correction Coding: Mathematical Methods and Algorithms”.

In this talk, the sparse signal recovery using compressive sensing (CS) technique along with the applications will be presented. CS is a recently developed sub-sampling technique for signal acquisition and reconstruction which is more efficient than the traditional Nyquist sampling method. It provides the possibility of compressed data acquisition approaches to directly acquire just the important information of the signal of interest, without wasting the resources.

Mohammad Shekaramiz is an Assistant Professor of Electrical Engineering at Utah Valley University (UVU). He earned his PhD in Electrical Engineering- statistical signal processing from Utah State University (USU) in 2018. He is on the editorial board of two journals and has served as a reviewer for several prestigious journals and conferences. He is a member of IEEE, IEEE young professionals, Golden Key International Honor Society, Honor Society of Phi Kappa Phi, and Honor Society of Tau Beta Pi. He was the finalist of 2019 Bill E. Robins Award for Doctoral Student Researcher of the Year at USU, and awarded the Outstanding Doctoral Student Researcher of the Year (2018-2019) from the College of Engineering of USU.

Power distribution systems are under growing threats, ranging from large-scale outages caused by natural disasters to cyber-attacks. This talk will discuss opportunities for artificial intelligence (AI) to enhance the cyber-physical resilience of power distribution systems. Models will be presented to enhance the cyber-physical situational awareness of power distribution systems, and to automate the response and recovery operation after cyber and physical threats.

Dr. Masood Parvania is the Director of Utah Smart Energy Laboratory, and Associate Professor and Associate Chair for Research and Advancement of the Department of Electrical and Computer Engineering, at the University of Utah. His research interests include the operation, economics and resilience of power and energy systems, and modeling and operation of interdependent critical infrastructures. Dr. Parvania serves as an Associate Editor of the IEEE Transactions on Smart Grid, the IEEE Power Engineering Letters, and the IET Renewable Power Generation. He is the Chair of IEEE Power and Energy Society (PES) Utah Chapter, the Chair of IEEE PES Bulk Power Systems Operation Subcommittee, and the Vice-Chair of IEEE PES Risk, Reliability, and Probability Applications Subcommittee.