The Gallogly College of Engineering and the Mewbourne College of Earth and Energy are excited to engage with our colleagues and stakeholders in industry and government to significantly increase innovation and to provide enhanced educational opportunities.
The following agenda will be updated as soon as additional speakers and associated details become available. We look forward to presenting this robust two-day program and hope you will be a part of our inaugural Industry and Government Day!
Opportunities for attendees to connect with our graduate students occurs Thursday. Additionally an “Open to Opportunities” Digital Resume Book will be made available in order to connect those hiring to those seeking employment.
Research Poster Fair
Participants will have the opportunity to present their current or completed research with our visiting Industry and Government partners, OU faculty, and peers. All levels and topics of research overseen by a GCoEor MCEE faculty member are eligible to participate. Author and advisor names, poster title, and a two to three-sentence abstract are required for registration. Refreshments provided.
Student, Postdocs, and Industry Networking Hour
Get to know potential employers or future collaborators. All graduate students, postdoctoral researchers, and undergraduate researchers are encouraged to attend the Research Poster Fair and Networking Hour, even if you do not intend to present at the fair. Refreshments provided.
Dinner and Poster Presentations
Refreshments available throughout the day.
Break and Poster Viewing
Corridor A and Conference A
Morning Breakout Sessions
Corridor A Rooms
The New Technology Frontier in Utility Industry
Buck Feng, Ph.D.
Renewable energy is the key to help us achieve net-zero emission in the next decade. Power grids are expanding their inter-connectivity through the formation of new markets. Mr. Feng will discuss the latest trends in power industry and follow by highlighting the applications where Data Science, Artificial Intelligence, and Machines Learning can be leveraged for the integration of renewable energies in electricity markets.
Buck Feng is the CTO of Power Costs, Inc, a Norman-based enterprise software company. With 30 years of experiences in the energy industry, he is an expert in power systems optimization, planning, and risk management. He holds BS and MS degrees in Electrical Engineering from the University of Oklahoma.
Reza Kandezy and Steele Brenden
Energy conversion of most renewable energy systems is through solid-state power electronic inverters, which is very different from conventional rotary machine-based ones. In the second talk, OU graduate students will present their discovery of a new type of fast transients that could happen during the commission, fault ride-through, and restoration periods. Such transients are uniquely induced due to the interactions between the DC energy input from solar energy systems and the AC power grids and are different from the normal transients we know about. The implication of this discovery on the compatibility standards for grid-integration of solar PV energy systems will be provided.
John Jiang, Ph.D.
Leading the track
The drive to lower carbon emissions and diversify energy supplies are drastically changing the landscape of electricity markets. Many power companies have recently formed or joined large regional power grids and markets in order to benefit from the increasing penetration of renewable resources. From an economic perspective, the high variability of renewable resources, such as wind and solar, is a challenge in operational planning. System operators and energy traders must react to fast-changing system and market conditions much more frequently than in the past. It also influences power companies’ long-term investment strategies for clean, reliable, and affordable energy. From an engineering perspective, the energy conversion technology used in renewable resources could impact grid reliability in a way that can’t be mitigated by system protection schemes used for conventional rotary machines. New innovative techniques to predict and mitigate system disturbance are needed to achieve high adoption of clean energy and dependable grid systems. These innovations are increasingly driven by technologies in Data Science, Artificial Intelligence (AI) and Machine Learning (ML) for processing and analyzing large amount of data quickly and continuously. This seminar put forth some recent research efforts and software products in Oklahoma for addressing certain contemporary challenges to the integration of renewable energies, with live cases of trading in power markets and utility grid reliability.
Managing Expectations with Small and Big Data: Machine Learning, Visualization, Energy Analytics, and Smart Manufacturing
Talayeh Razzaghi, Ph.D.
Chao Lan, Ph.D.
Ji Huan Park, Ph.D.
Every day massive amounts of data are created through various sources, including remote sensing, mobile devices, and imaging devices. People can understand and get insights into this vast amount of data by visualizing and analyzing the data. Additionally, emerging technologies including augmented reality (AR), virtual reality (VR), and mixed reality (MR) offer an interactive and immersive data exploration in a 3D environment. In this talk, visualization and analytics approaches will be introduced for efficient/effective data exploration and understanding in multiple platforms ranging from mobile devices to AR/VR/MR.
Yifu Li, Ph.D.
Modeling the relationships between the quality response variables and process settings or in situ sensing variables is a fundamental problem in quality engineering. Such relationships are important for product quality prediction, process monitoring, and optimization. Data collected from a single system often only carry limited information, making modeling one system at a time challenging. Multi-task learning (MTL) jointly models similar-but-non-identical systems and utilizes the similarities among systems for better performance. However, existing MTL becomes much less effective if important variables are missing or unmeasurable in the underlying process (latent variables). More importantly, commonly shared latent variables across systems often reflect important process patterns/behaviors, deserving more investigations. We proposed an MTL framework for multivariate or profile responses by explicitly decomposing the variation among systems into explainable variation and latent variation. Specifically, the explainable variation is from variables observed in data, while the latent variation is from the latent basis functions automatically generated from model residuals. The proposed method improves the prediction accuracy and interpretability of modeling. The simulation and a case study in a silicon ingot manufacturing network demonstrate that the proposed method can improve the quality modeling performance and recover critical process knowledge for silicon ingot manufacturing based on Czochralski (CZ) process.
The Advanced Radar Research Center: Next-Generation Radar Systems and RF Technologies
Nathan Goodman, Ph.D.
The Advanced Radar Research Center at the University of Oklahoma
Jorge Salazar-Cerreño, Ph.D.
ARRC Millimeter-Wave Capabilities and Research
H2 Opportunities and Challenges: Production, Utilization and Storage
Steve Crossley, Ph.D. (CBME/IREES)
Nick Hayman, Ph.D. (OGS)
H2 Geological Storage
Alberto Striolo, Ph.D.(CBME)
New materials challenges for H2 transportation
Sean Crowell, Ph.D. (GeoCarb)
Carbon detection and the Geocarb
Dimitrios Papavassiliou, Ph.D. (CBME)
Convergence Research for H2 transition
Panel Discussion (All)
This session is focused on hydrogen-related activities at OU. Energy needs worldwide increase on a yearly basis, but current production of energy leads to greenhouse gas emissions. In Oklahoma, we have a lot of natural gas that can be utilized to produce hydrogen, and we do have wind power that can be used to produce hydrogen with electrolysis. However, several challenges exist: we need to develop technologies that can take methane molecules and dissociate the hydrogen from the carbon without carbon dioxide emissions, we need to improve electrolyzers, and we need to develop safe and economically feasible technologies for storage and transportation of hydrogen. The session will be addressing these challenges and identifying opportunities for research and collaboration between the energy industry and OU in the hydrogen arena.
Graduate Research: Publishing, Tracking and Measuring your Research Impact
Karen Rupp-Serrano and the OU STEM Librarians
Keynote #2: Rebecca Taylor Racosky
NCMS, Executive Vice President, Business Development and Programs
Break and Poster Viewing
Corridor A and Conference A
Afternoon Breakout Sessions
Collaborative Engineering With Nature Research and Education
Robert Nairn, Ph.D. and Robert Knox, Ph.D., OU
Darrell Townsend, Grand River Dam Authority
Craig Kreman, Quapaw Nation of Oklahoma
Chris Mattingly, City of Norman
Mary Elizabeth Mach, Garver
Todd Bridges, Ph.D., U.S. Army Corps of Engineers
Industrial and governmental entities increasingly recognize the importance of natural infrastructure to help sustainably solve global environmental challenges. Nature-based solutions are inherently collaborative and provide environmental, economic, and social benefits. Current OU EWN projects and potential opportunities will be discussed.
Corridor A Rooms
Development of New Medical Imaging and Informatics Technologies to Support Translational Clinical Research and Future Clinical Applications
Bin Zheng, Ph.D.
Developing Interactive Computer-aided Detection Tools to Support Translational Clinical Research
Hong Liu, Ph.D.
Development and Clinical Translation of Advanced X-ray Imaging Techniques
Yuchen Qiu, Ph.D.
Fourier ptychography microscopy: A Novel Technology to Achieve High Throughput Pathological Sample Scanning
Javier Jo, Ph.D.
Developing Novel Technologies for Quantitative Optical Image-guided Precision Medicine
How to Partner with OU (Research)
Managing Director of the OU Office of Technology Commercialization
Director of OU Corporate Partnerships and Regional Economic Development
Executive Director of Tom Love Innovation Hub
The University of Oklahoma is strategically focused on partnering with the private sector and philanthropies to solve the most pressing problems through research endeavors. In this session with Andrew Pollock, Managing Director of the Office of Technology Commercialization, and Joyce Burch, Director of Corporate Partnerships and Regional Economic Development, we’ll discuss how to start the discussion about research projects, OU’s new Intellectual Property options, and working with faculty.
The Hacker’s View of Your Vulnerabilities
Song Fang, Ph.D.
Do you have experience of discovering a hidden camera in your hotel rooms or Airbnb rentals? Do you have concerns about being watched or listened to without your consent? Song Fang, Assistant Professor of Computer Science at the University of Oklahoma, will talk about techniques to safeguard user privacy against wireless hidden devices (e.g., wireless cameras and audio recorders). Traditional ways to detect a wireless hidden device mainly include physical search, lens detection, and Radio Frequency (RF) scanning. The first two are cumbersome while existing work using RF scanning can only detect the existence of the device but cannot tell its exact location. Song will then introduce their developed novel strategies to localize wireless hidden devices.
Anindya Maiti, Ph.D.
Anindya Maiti, Assistant Professor of Computer Science at University of Oklahoma, will talk about the newfangled threat of deceivingly personalized phishing emails generated in mass, using online services that offer AI-as-a-Service (AIaaS). Traditional phishing emails are already responsible for a significant number of cybersecurity breaches. Anindya will talk about the increased severity of threat from new AIaaS-powered phishing emails for individuals and organizations. Anindya will also discuss novel techniques to detect and filter such AIaaS-powered phishing emails, before they become a real threat.
Shanqing Zhao, Ph.D.
Shanqing Zhao, Assistant Professor of Computer Science at the University of Oklahoma, will talk about the vulnerability of network tomography, which is a vital tool for network monitoring and diagnosis without directly accessing the network. Shangqing will detail that simply trusting the tomography measurements leads to integrity vulnerabilities when attackers occur in a network. Shangqing will introduce novel attacks model to mislead the network operator having a diagnosis error by leveraging this vulnerability, and then introduce the countermeasures to detect and locate such attacks in a network.
Geoff Wilson, CEO of Go Security Pro, will detail the hacker’s view of your vulnerabilities and how many of the targeted weaknesses are not on your radar. Geoff will detail GO’s most reliable Red Team exploits and the most effective strategies for thwarting these attacks in 2022. Geoff will also discuss incorporating the hacker’s view of your vulnerabilities into your vulnerability management program. This talk is appropriate for both security leadership and technical cybersecurity personnel.
Capstone: Beneficial Collaboration between Professionals and Students
Chris Dalton, Ph.D.
Doyle Dodd, Ph.D.
Cliff Fitzmorris, Ph.D.
Rafal Jabrzemski, Ph.D.
Each School in the Gallogly College of Engineering offers a Capstone experience, where senior students utilize a variety of skills developed in their programs to complete a large-scale project. Many of these projects are provided by local/regional industry & government sponsors, which offer a "real-life" project for the teams of students to complete. The projects offer the students the opportunity to work as a team on a realistic, professional project and hone skills in the areas of design, analysis, communications, research and major-specific technical areas. The industry sponsors are able interact with potential future employees, receive a unique project solution, and establish a strong partnership with the University, College and Schools. The individual Engineering Schools and the Gallogly College of Engineering gain the opportunity for students to demonstrate their skills in unique ways and evaluate their performance for accreditation purposes. While each School offers a unique Capstone experience, all students are able to engage with an authentic, practical project prior to entering the engineering work force.
Prospering Biomedical Innovations at OU
Handan Acar, Ph.D.
Stefan Wilhelm, Ph.D.
Entrepreneurship and Leadership
Gen. Donald Wetekam
Ronnie K. Irani Center for the Creation of Economic Wealth
Ronald Bolen, J.D.
Empathy in Entrepreneurship and Methodology for Decision Making