Past Events

Towards trustworthy and personalized situation-aware services in IoT-enabled and learning-based smart systems

The rapid evolution of machine learning frameworks has introduced substantial maintenance challenges for legacy systems.

Over the last few years, engineers at Kingland have seen the usage of AI in software development progressing from simple chatbots to code suggestions, and now to agentic AI.

Title and Abstract Coming Soon

Join us for a snack break! All undergraduate and graduate students, faculty and staff are invited.

Join on Zoom: https://iastate.zoom.us/j/95741094814 

Streamlining Language Models via Semantic Basis Analysis

Value-Based Voting Semantics for Multi-Agent Qualitative Preference Reasoning

Symbolic Execution for Probabilistic Programs: Path Probabilities Testing and Verification in PRISM Model Checker

Consistency-Aware and LLM-Assisted Methods for Named Entity Recognition

scCoCoLM: Single Cell Context-Conditioned Language Model for Cell-Type Annotation

You are invited to join us on the live demo on Teams for a robot chess playing demo.

Join on Zoom: https://iastate.zoom.us/j/99516192680 

Defeater-Driven Framework for Software Safety Assurance in sUAS

Pseudodeterminism — Between Randomized and Deterministism

We are celebrating the end of the academic year and our most recent graduates. Come grab a light lunch of pizza, pop, sides, and dessert!

Dual Knowledge Distillation with Adaptive Class-wise Prototype Margins for Heterogeneous Federated Learning

Integrating Structural and Semantic Understanding for Robust Knowledge Graph Construction: from knowledge graph completion to zero-shot entity linking

Join on Zoom: https://iastate.zoom.us/j/94871918940

Structure-aware Graph Representation Learning Using Graph Neural Networks

Reliable and Explainable AI for Automated Cell Counting

Sampling-based Optimized Adaptive Discretization and its Applications in Robotics

Are you looking for a major professor? The Faculty Research Networking event will have faculties in attendance that are looking for talented students to join their lab.