EJ Technology Co., Ltd
Mr. YuSheng Li (Eason), General manager , EJ Technology Co., Ltd
Over the past several years, the speaker has led multidisciplinary teams in delivering AI-driven digital transformation solutions for the bulk chemicals, semiconductor specialty chemicals, and waste incineration industries. With extensive experience in industrial process optimization, smart manufacturing, and plant engineering, the speaker has supported clients in implementing small-scale EPC (Engineering, Procurement, and Construction) projects while integrating AI-powered smart construction technologies to enhance workplace safety and project efficiency.
The speaker also specializes in applying AI to manufacturing process control, helping industrial facilities improve operational performance during plant commissioning and production ramp-up. More recently, the speaker has been leading collaborative R&D initiatives with industry partners to develop specialty chemical materials for semiconductor manufacturing. These projects involve establishing pilot-scale facilities and leveraging AI for predictive analytics, process validation, and equipment optimization, including reactors, distillation columns, centrifuges, and drying systems.
Looking ahead, the speaker continues to focus on AI-enabled green manufacturing, predictive quality control, waste reduction, and production capacity optimization. Through the integration of advanced AI technologies with industrial expertise, the speaker is committed to helping manufacturers achieve safer, smarter, and more sustainable operations.
Topic:
Semiconductor Specialty Chemical Plant EPC & AI-Enabled Co-development of Advanced Materials
Abstract:
As the semiconductor industry advances toward the 2 nm process node, the demand for next-generation specialty chemicals continues to grow. New materials are being developed to address the limitations of advanced manufacturing processes. For example, as copper interconnects become increasingly narrow, electrical resistance rises, leading to overheating and reduced conductivity. Conventional PVD (Physical Vapor Deposition) and CVD (Chemical Vapor Deposition) technologies are no longer sufficient to meet future process requirements, driving the adoption of Atomic Layer Deposition (ALD) and the associated production of high-value specialty and precious-metal chemicals.
Historically, many international and Taiwanese specialty chemical manufacturers have had limited or no mass-production experience with these advanced chemicals. Beyond providing EPC services for specialty chemical plants, E.J Technology leverages engineering design data and process knowledge accumulated during plant construction to develop intelligent AI solutions for chemical manufacturing. These solutions optimize critical stages ranging from commissioning and raw material charging to product quality optimization, process parameter tuning, carbon reduction, and stable production control.
In addition to specialty chemical plant construction, E.J Technology integrates plant-wide PLC and DCS systems into a unified industrial big data platform, creating a comprehensive architecture for data collection and analytics. AI-powered predictive intelligence enables early anomaly detection, accelerates advanced material process development, optimizes plant operations, supports ESG and sustainability initiatives, and helps customers transition toward intelligent, predictive manufacturing and facility operations.
Key Technologies Covered:
• AI-Driven Process Optimization for Semiconductor Chemical Manufacturing
• Industrial AI-Based Process Modeling, Simulation, and Validation
• AI-enhanced model predictive control
• Smart EPC Solutions for Semiconductor Specialty Chemical Plants
• Digital Transformation for Chemical Plant Design and Construction
• Semiconductor Specialty Chemical Process Development and Scale-Up
• ALD Precursor Production Facility Planning & Process Integration
• AI-Enabled Predictive Quality Control and Production Optimization
• Chemical Synthesis and Purification Process Optimization
• Pilot Plant Development and Technology Validation for Advanced Materials