projects

Selected research projects and collaborations

AI-Driven Transportation Safety Systems

**Iowa State University 2022-2025**

Led multiple funded projects with Iowa DOT developing AI-based navigation systems for snowplow operations, real-time crash detection, and ADAS enhancement under extreme weather conditions.

Key Technologies: Computer Vision, Deep Learning, LLMs, CARLA Simulation

Large Language Models for Crash Narrative Generation

**Iowa State University 2023-2024**

Pioneered novel frameworks integrating computer vision with Large Language Models for automated crash narrative generation from video surveillance data and Video-LLM integration for traffic incident analysis.

Key Achievement: Presented at TRC-30 Conference 2024

Quantum Neural Networks for Network Security

**Iowa State University 2023-2025**

Developed innovative Quantum Neural Network architectures that increased anomaly detection accuracy by 10% for next-generation network security, establishing quantum-driven zero trust frameworks.

Publication: Measurement: Digitalization (2025)

Reinforcement Learning for Biomedical Applications

**Iowa State University 2023-2024**

Implemented RL algorithms for CAR T-cell therapy parameter optimization using multi-agent reinforcement learning for biological systems.

Publication: Biotechnology and Bioengineering (2024)

Knowledge Graph Development at Amazon

**Amazon Summer 2025**

Applied Scientist internship developing unified data framework using Knowledge Graphs, novel KGE models, and advanced negative sampling techniques for sparse graphs.

Precision Agriculture & Environmental Data Analysis

**SoilSerdem 2024**

Engineered precision soil mapping engine improving accuracy by 35%, with cloud processing optimization on AWS and environmental data models for resource allocation.

Collaborative Projects

Document Layout Analysis with LLM-Guided Fusion

Accepted to CVPR 2026

Developed a probabilistic fusion framework guided by Large Language Models for label-efficient document layout analysis, reducing annotation requirements while maintaining high accuracy.

Collaborators: Sanjeda Akter, Anuj Sharma
arXiv: 2511.08903

Temporal Action Localization in Video

Published in CVPR 2024

Developed DeepLocalization framework using change point detection for precise temporal action localization in video data.

Collaborators: Mohammed Shaiqur Rahman, Lu Chu, Anuj Sharma

Sidewalk Detection for Urban Safety

Published in IEEE ITSC 2023

Created ensemble learning approach for robust sidewalk detection to enhance road safety and facilitate curb space management.

Open to Collaborations

I am actively seeking collaborations in:

  • Computer vision for transportation systems
  • LLM applications in safety-critical domains
  • Quantum machine learning
  • Reinforcement learning for real-world applications

Contact: ishihab@iastate.edu