I2S Student Research Symposium (ISRS)

The I2S Student Organization (ISO) is planning 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. For the 2025 Symposium, leaders have invited other collegiate research groups from elsewhere in Kansas and Missouri, including the Kansas City metro area, to participate for the first time. Submission deadline update: While the original deadline of Dec. 15, 2024, has passed, the team will accept abstracts for poster and presentation consideration up until the week of the symposium.

 

2025

I2S Student Research Symposium

January 23-24, 2025

 

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.

Register today! Registration is free for a limited time for all sessions.

Tentative schedule:

Thursday, Jan. 23: Student-led Workshops with Presentations

Friday, Jan. 24: Research Symposium

Additional event details will be posted on this page leading up to the event.

Organizers: Babak Badnava, Amin Mamandipoor

 

This will be held in-person at the Kansas Union, Woodruff Auditorium and Big 12 room (5th floor):

 

Submit Abstract
2024 ISRS
Register Here

Keynote Speaker

Andy Gill


Andy Gill is a Principal Engineer at Rain AI, a Silicon Valley startup specializing in the development of low-power AI accelerators. With extensive experience in designing and optimizing AI accelerator compilers, Andy has previously held roles at Cerebras Systems and Google, contributing to compiler technologies for AI hardware. Before transitioning to the private sector, Andy served as an Associate Professor of Computer Science at the University of Kansas, where his research centered on domain-specific languages for FPGAs and GPUs. He earned his Bachelor of Science from the University of Edinburgh and a Ph.D. in Computing Science from the University of Glasgow.

Haverscript

Haverscript is a lightweight Python library crafted to simplify and enhance interactions with large language models (LLMs). Built on top of Ollama, a popular platform for running LLMs locally, Haverscript introduces a structured and pragmatic approach to managing LLM workflows. The library leverages immutability, automates retry logic in a principled way, and employs a simple caching mechanism to boost efficiency. Haverscript empowers developers and researchers to focus on prompt creation rather than the intricacies of workflow management. This keynote will explore the core principles of Haverscript, its practical applications, and how it can streamline the integration of LLMs into diverse projects.


 

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