eNeural Technologies, Inc.

Dr. Tsung Han Lee , R&D Manager, eNeural Technologies, Inc.

Dr. Tsung Han Lee is a Senior R&D Manager at eNeural Technologies, specializing in embedded AI and edge continuous learning for industrial and automotive computer vision. Holding a Ph.D. from NYCU, he previously led Wistron and Qualcomm AI research projects, showcasing self-learning AI globally.

At Advantech, Tsung Han developed medical AI solutions for aortic dissection and sarcopenia, generating over 2.5 million in value and securing key patents. Commercially, he has successfully deployed edge AI for warehouse pallet tracking and smart in-cabin monitoring. Furthermore, he spearheaded a comprehensive automated edge AI pipeline (P-craft, Q-craft, eSL-craft, and eAI-SIM) to accelerate model iteration and minimize costs.

Tsung Han is dedicated to bridging academic research and industrial implementation, driving innovative edge AI applications across smart manufacturing, healthcare, and transportation.

 

 

Topic:

Invest in the Future with eAI-Sim: Leading the AI Edge Deployment Revolution

 

Abstract:

eAI-Sim is a next-generation edge AI platform that combines traditional vision models with vision-language models (VLMs), enabling powerful multimodal analysis on edge devices. Built on standardized IPC and Protocol Buffers with efficient communication, it delivers a modular architecture that is cross-platform, scalable, and easy to integrate, allowing different AI components to work together seamlessly. It can be deployed flexibly on GPU-powered NVIDIA Jetson Orin systems, low-power NPU-based embedded platforms, and even bare-metal environments. With its dedicated Pipeline Parser automation tool, eAI-Sim significantly shortens development cycles, lowers deployment barriers, and accelerates the journey from technical validation to productization. More than a development tool, it is an enabling engine that connects innovation, deployment, and commercial adoption for the next generation of intelligent edge computing.

 

Key Technologies Covered:

  • Edge AI development platform that enables the AI system design, optimization and simulation
  • Automatic AI system deployment through one-click button
  • Multi-modality support including CNN models, LLM models as well as VLM models