A research community advancing Trustworthy AI, Smart Manufacturing, Robotics, and Physical AI — intelligent systems that positively impact society, industry, and the world.
“Intelligence with Purpose, Innovation with Heart.”
DIL-X (Deep Intelligence Lab for X) is an interdisciplinary research laboratory where Artificial Intelligence is developed not merely as a computational tool, but as a responsible, trustworthy, and human-centered technology for real-world industrial and societal challenges.
In Hindi and Urdu, Dil means Heart — the meeting point of mind, emotion, purpose, and human aspiration. It represents embodied intelligence: the integration of cognition, ethics, creativity, and action that guides human decision-making.
X represents possibility, exploration, and discovery — the unknown challenge yet to be solved, the technology yet to be invented. There is no predefined X. Every researcher discovers their own through curiosity and purpose.
To become a globally recognized research laboratory advancing responsible intelligence across physical, digital, and human-centered systems for the benefit of society and future generations.
To discover, create, and deploy intelligent systems that advance society through responsible innovation, scientific excellence, interdisciplinary collaboration, and human-centered design.
The Heart inspires the Purpose · The Purpose drives Discovery · Discovery creates Impact.
The X is yours — discover it, research it, build it, use it responsibly.
Dr. Ayush Pratap is the Founder and Principal Investigator of DIL-X (Deep Intelligence Lab for X) and an Assistant Professor in the Department of Mechanical Engineering at National Chung Cheng University (CCU), Taiwan. He previously served as an Assistant Researcher at the Advanced Institute of Manufacturing with High-tech Innovations (AIM-HI), CCU.
He earned a Joint Ph.D. from the Indian Institute of Technology (IIT) Ropar, India (Metallurgical & Materials Engineering) and CCU, Taiwan (Ambient Intelligence and Smart Systems) — as the first graduate of this interdisciplinary international joint doctoral program.
His research lies at the intersection of Trustworthy AI, Smart Manufacturing, Robotics, Physical AI, Digital Twins, Physics-Informed Machine Learning, Large Language Models, Foundation Models, and Agentic AI. As Principal Investigator, he leads the NSTC-funded project “PINN-FM: Development of a Physics-Informed Neural Network-Based Foundation Model for Machining Industry Orchestration” (from August 2026).
He is also the founder of OptiMOS.AI, an AI-assisted semiconductor design startup incubated at Startup Land, CCU, and a published Hindi poet (“Dil-e-nazm Part 1”).
Our work spans the complete lifecycle of intelligent products and manufacturing systems — from design and production to quality inspection, predictive maintenance, optimization, and autonomous orchestration.
AI-driven systems integrating machine learning, process optimization, quality control, predictive maintenance, and autonomous production for Industry 5.0.
Intelligent machines that perceive, reason, and interact with the physical world through robotics, sensors, and autonomous decision-making.
Robot vision, cognitive robotics, collaborative automation, and robotic quality inspection for smart industries.
Synchronized physical–virtual systems for real-time monitoring, simulation, predictive analytics, and immersive decision support.
Autonomous agents and foundation models integrating domain knowledge with manufacturing intelligence for reasoning and planning.
Explainable AI, AI governance, uncertainty quantification, safety, robustness, and transparency for engineering applications.
Physics-Informed Neural Networks (PINNs) and hybrid models for intelligent process prediction and control.
Technologies that reduce energy consumption, optimize resources, and support environmentally sustainable manufacturing.
AI for semiconductor design, yield optimization, and intelligent analog & mixed-signal circuit design.
At DIL-X, we do not define your future — we provide the environment to discover it. Every research challenge is an opportunity to define a new X, and every breakthrough begins with curiosity, scientific excellence, and a commitment to serving humanity.
A National Science and Technology Council (NSTC) funded project led by Dr. Ayush Pratap, developing the next generation of AI foundation models for intelligent manufacturing.
“PINN-FM: Development of a Physics-Informed Neural Network-Based Foundation Model for Machining Industry Orchestration.” The project unifies physics-informed and agentic AI into a single foundation model for machine-tool autonomy — enabling real-time monitoring, adaptive control, and sustainable process optimization.
The PINN-FM project is recruiting motivated researchers to join DIL-X. Funded positions are available:
Recognition of contributions to Artificial Intelligence, Manufacturing, and Automation.
Principal Investigator on “PINN-FM: A Physics-Informed Neural Network-Based Foundation Model for Machining Industry Orchestration.”
International Symposium on Computer, Consumer and Control (IS3C), Taichung, Taiwan.
Prestigious national competition, Taiwan.
Awarded by the Government of Taiwan.
National Science and Technology Council, Taiwan.
AI-assisted semiconductor design startup, incubated at Startup Land, CCU.
Published in NDT & E International, Information Fusion, Journal of Materials Research, Advanced Engineering Materials, IEEE Technology & Society Magazine, Int. J. of Advanced Manufacturing Technology, and more.
We welcome curious, purpose-driven researchers. Choose your X and pursue it with us.
DIL-X welcomes collaboration and new members across all levels:
To choose your X, a proper project proposal is welcome. Reach out by email to begin the conversation.
