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 Automated Vehicles, and am author of the forthcoming 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.

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IEEE ITSC 2025

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

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

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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.

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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.

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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 an in-progress IEEE-Wiley textbook, Generative AI for Connected and Autonomous Vehicles (expected 2026).

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

    IEEE-Wiley book Generative AI for Connected and Autonomous Vehicles in preparation; manuscript under contract.

  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