Kyungtae (KT) Han

Kyungtae (KT) Han

Senior Principal Researcher

Toyota Motor North America

Generative & Agentic AI · V2X / CAV · Edge AI · Digital Twin

I am a Senior Principal Researcher at Toyota Motor North America's InfoTech Labs, focusing on generative and agentic AI for connected and autonomous vehicles. My work spans multimodal driving intelligence, V2X-enabled cooperative autonomy, and AI-native mobilty systems, with 90+ peer-reviewed publications and 100+ U.S. patents. I serve as Associate Editor of the SAE Journal of Connected and Autonomous Vehicles, and am author of the IEEE-Wiley book Generative AI for Connected and Autonomous Vehicles (2026).

Publications

Selected Publications

Representative work across generative AI, autonomous driving, and edge intelligence.

Proceedings of the IEEE 2026

LLM4AD: Large Language Models for Autonomous Driving

C. Cui, Y. Ma, S. Park, … K. Han, and Z. Wang.

View paper →
IEEE ITSC 2025

Scene-Aware Conversational ADAS with Generative AI for Real-Time Driver Assistance

K. Han, Y. Chen, R. Gupta, and O. Altintas.

View paper →
ICCV 2025

NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding

S. Park, C. Cui, Y. Ma, … K. Han, and Z. Wang.

View paper →
IEEE IoT Journal 2022

Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges

Z. Wang, R. Gupta, K. Han, H. Wang, A. Ganlath, N. Ammar, and P. Tiwari.

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IEEE Trans. Intelligent Vehicles 2024

Driver Digital Twin for Online Recognition of Distracted Driving Behaviors

Y. Ma, R. Du, A. Abdelraouf, K. Han, R. Gupta, and Z. Wang.

View paper →

Teaching

Teaching & Curriculum Development

Graduate-level course design and instructional development in AI for mobility systems.

Graduate-level 15 weeks · first delivered Spring 2025

Generative AI for Connected and Autonomous Vehicles

An advanced course on foundation models, multimodal reasoning, agent orchestration, and deployment constraints for CAV systems.

  • Developed and taught as an advanced internal research training course at Toyota Motor North America's InfoTech Labs, with strong participant feedback.
  • Topics: Transformer architecture, prompt engineering, function calling, retrieval-augmented generation, parameter-efficient fine-tuning (LoRA, RLHF, GRPO), agent frameworks (LangGraph, AutoGen), vision-language models, and MCP / agent-to-agent protocols, with CAV-specific case studies and hands-on labs.
  • Curriculum directly informs the IEEE-Wiley textbook, Generative AI for Connected and Autonomous Vehicles (2026).

Book webpage →

News

Recent News

  1. May 2026

    Paper accepted at IEEE ITSC 2026: “Tonic Meta-Control for Adaptive Safety-Compute Allocation via Persistent Vigilance Dynamics.”

  2. Apr 2026

    Paper published in Proceedings of the IEEE: “LLM4AD: Large Language Models for Autonomous Driving.”

  3. 2026

    Companion site for the IEEE-Wiley book Generative AI for Connected and Autonomous Vehicles is now available, with hands-on labs and instructor resources. Book webpage →

  4. Spring 2026

    Continuing internal course on Generative AI for Connected and Autonomous Vehicles (Toyota InfoTech Labs).

  5. 2025

    Papers accepted at IEEE ITSC and ICCV with multi-institution academic collaborators.

Contact

Get in Touch

Reach out for research collaborations, joint workshops, or questions about my work.

Affiliation
Toyota Motor North America