I2S Student Research Symposium (ISRS)
The I2S Student Organization (ISO) is hosting their annual I2S Student Research Symposium (ISRS). ISRS is an opportunity for graduate students to share their research and ideas with other graduate students and faculty members. This year we will have both oral and poster presentations. Graduate students from all academic backgrounds are invited to submit abstracts of work they have recently published, are in the process of publishing, or are works-in-progress. As we did in 2025, the 2026 Symposium, leaders invite other collegiate research groups from elsewhere in Kansas and Missouri, including the Kansas City metro area, to participate.
2026
I2S Student Research Symposium
September 24-25, 2026
University of Kansas - Lawrence, Kansas
Watch Videos From the 2025 Student Research Symposium
There will be a limited number of in-person presentations held during the event, which will be judged for prizes by I2S faculty. If you are interested in being selected for a presentation, please submit your abstract here, or click the button below, for consideration (please limit to 200-500 words). We kindly request that the research be within the scope of I2S areas of study. A full list of those areas can be found below.
Additional event details, including registration information, will be posted on this page leading up to the event.
Organizer: Amin Mamandipoor
This will be held in-person at the Beren Petroleum Center in Slawson Hall (Slawson G192) on the Lawrence campus.
ISRS Prizes
Oral presentations:
First place: $500
Second place: $300
Third place: $100
Grads poster presentations:
First place: Headphones
Second place: Earbuds
Undergrads poster presentation:
First place: Headphones
Second place: Earbuds
Areas of research:
- Blockchain
- Computer Systems
- Applied Mathematics
- Ethics & Policy
- Fiber Optics
- Quantum Computing
- Radar Systems
- Computer Architecture
- Embedded Systems
- Cybersecurity & Privacy
- Network Communications
- Programming Languages
- Signal Processing
- RF Systems Engineering
- Photonics & Optoelectronics
- Computational Science & Engineering
- Artificial Intelligence & Machine Learning