On Thursday, April 17, UTulsa students will have the chance to meet with Navy leadership and crew members from the USS Oklahoma for an informal, engaging discussion about careers in the Navy, leadership development, and life aboard ship.
This is a relaxed event with snacks provided, and there will be time for Q&A and one-on-one conversations following the main discussion. It’s a great chance for students to explore career paths they may not have considered—and to connect with officers and enlisted leaders who bring a wide range of real-world experience.
10-11 a.m.: Presentation
11 a.m.-12 p.m.: Meet & Greet with refreshments
Please join us for Graves Distinguished lecture series guest speaker, Xinming Ou, Ph.D., professor of the Bellini College of Artificial Intelligence, Cyber Security, and Computing at the University of South Florida on a presentation, “Human-AI co-Teaming for Cybersecurity: A Preliminary Case of Using Large Language Models in Software Pen-testing.”
Abstract: Large language models (LLM) presents potentials for automating security tasks. However, knowledge and skills for those tasks cannot always be found in documented natural language texts on which LLMs are trained. We investigate whether knowledge utilized in security tasks can be imparted to an LLM agent through human-AI co-teaming, where humans interact with an LLM to accomplish the tasks. As a first step towards evaluating this perceived potential, we experiment using LLMs in software pen-testing, where the main task is to automatically identify security vulnerabilities in source code. We examine whether an LLM-based AI agent can be improved over time for this security task as human operators interact with it by engineering prompts fed to the LLM based on its responses. Preliminary results show that this is a viable approach to building an AI agent for software pen-testing that can improve through repeated use.
Speaker Bio: Xinming Ou is professor of the Bellini College of Artificial Intelligence, Cybersecurity and Computing at University of South Florida. He holds the directorship of Rapid7 Cyber Threat Intelligence Lab at USF. Prior to USF he was a faculty member at Kansas State University. Ou’s research focuses on human-centric approaches to cybersecurity, and has broad interests in applying AI techniques to improve cybersecurity operations. His research has been funded by National Science Foundation, Department of Defense, Department of Homeland Security, Department of Energy, National Institute of Standards and Technology, HP Labs, and Rockwell Collins. He is a recipient of 2010 NSF CAREER Award, a three-time winner of HP Labs Innovation Research Program (IRP) award, and 2013 Kansas State University Frankenhoff Outstanding Research Award. Ou received Ph.D. in computer science from Princeton University, and Bachelor and Masters degrees from Tsinghua University, both in computer science.
This talk explores advanced wireless communication systems for Intelligent Transportation Systems (ITS), focusing on enhancing vehicular safety through optimal communication performance. It presents a novel deep learning-based optimization model for IEEE 802.11 ad hoc networks and introduces a real-time platform to balance quality of service and spectrum efficiency in autonomous driving environments.
Presented by the Department of Electrical and Computer Engineering
Electrical and Computer Engineering Graduate Seminar:
Modern power systems face challenges due to increased complexity and volatility from integrating renewable and distributed energy resources (DERs). Effective grid management requires real-time situational awareness from diverse sensor data streams to support monitoring and decision-making. This talk introduces a new AI-based technique for power flow calculation in complex grids with many DERs, combining power engineering knowledge with data-driven methods. Unlike traditional “black-box” machine learning, this approach ensures faster, more accurate, and robust results, even under outliers or cyberattacks. The proposed framework has the potential to enhance grid control and optimization applications. Future research and collaboration opportunities will also be discussed.
Celebrate Pi Day with IEEE!
Join us for a delicious afternoon of creativity and friendly competition at our Student Homemade Pie Contest! Whether you’re a baking enthusiast or just here for the treats, this event promises fun for all.
🍰 Student Pie Competition
Show off your culinary skills! Compete to win prizes by crafting the most impressive homemade pie—sweet, savory, or π-themed! Open to all students.
🍕 Free Food & Fun
Not a baker? No problem! Enjoy complimentary food, snacks, and refreshments with peers.
📅 Date: March 28 | 🕛 Time: 12 PM–2 PM
📍 Venue: Rayzor Hall
Hosted by IEEE TU – Follow us @ieee_tuofficial for updates!
Slice into the fun – Don’t miss this chance to eat, compete, and celebrate Pi Day in style!🥧
Graduate Seminar presented by the Department of Electrical and Computer Engineering
Brain-Computer Interfaces (BCIs) are transforming how we interact with technology, bridging neuroscience, machine learning, and embedded systems. This talk addressing signal acquisition (EEG, MEG, LFP), real-time AI processing, and hardware challenges and how AI models operate near phase transitions for optimal adaptation. This talk highlights cybersecurity, scalability, and power efficiency, positioning BCIs as a frontier of AI-driven neurotechnology.
The SWMM Cerebral Showdown is a game of Medical Jeopardy like no other!
On Feb 21st at 2-3 PM in the Alcove room. This event allows women minorities in medicine to enjoy a fun medicine-based activity while enjoying free food.
Join the research office for a series of come-and-go workshops on securing research funding, to help you achieve your research goals. Workshop #2 will offer an overview of major funding agencies; provide strategies for early-stage projects; and discuss how humanities scholars can find external support for their research.
Topics will include overviews of the National Science Foundation (NSF), National Institutes of Health (NIH), and so-called mission agencies (e.g., Department of Defense, Department of Energy). Humanities faculty will have a morning session to help them identify funding sources, followed by an opportunity for individual consultations about their specific research projects.
This workshop is open to faculty and staff eligible to submit research proposals as a Principal Investigator. Postdoctoral fellows and graduate students are not eligible to participate.
The first research workshop is scheduled for February 24.
Save the date for future workshops on April 16 and May 2.
More information and to RSVP: https://forms.office.com/r/fDtawJSsjY
Join the research office for a series of come-and-go workshops on securing research funding, to help you achieve your research goals. Workshop #3 will teach researchers how to address the NSF’s Broader Impacts requirement, pursue funding for education-related research, and offer opportunities for individual consultations about specific research projects.
This workshop is open to faculty and staff eligible to submit research proposals as a Principal Investigator. Postdoctoral fellows and graduate students are not eligible to participate.
Earlier workshops are scheduled for February 24 and March 10.
Save the date for a future workshop on May 2.
More information and to RSVP: https://forms.office.com/r/fydadr05CJ
Join the research office for a series of come-and-go workshops on securing research funding, to help you achieve your research goals. Workshop #4 will feature two morning sessions; their scope and focus will be determined based on participant feedback from workshops #1 through #3. The afternoon will provide opportunities for individual consultations about specific research projects.
This workshop is open to faculty and staff eligible to submit research proposals as a Principal Investigator. Postdoctoral fellows and graduate students are not eligible to participate.
Earlier workshops are scheduled for February 24, March 10, and April 16.
More information and to RSVP: https://forms.office.com/r/jb2i4j77jm
