DrJavad Zeinali

Dr. Javad Zeinali is an Assistant Professor of digital manufacturing at the School of Mechanical and Materials Engineering and member of the Laboratory for Intelligent Manufacturing and Robotics (LIMAR). He served also as Programme Director of digital manufacturing (Advance Centre) and designed and developed Industrial Data Analytics Micro-credential for professional learners and Industrial Automation for the MEngSc Robotics and Intelligent Manufacturing programme. Javad received his PhD in 2015 from the University of Technology Malaysia (UTM), where he also earned his MEng (Mechanical) in 2012. His professional journey includes roles such as Technical Manager for more than 3 years in industry, and academic and research positions at the University of Limerick, before his current role at UCD. 

Dr. Zeinali, as a Funded Investigator at the Synthesis and Solid State Pharmaceutical Centre (SSPC), collaborated in various projects, such as MOMEnTUM and Scale-up Systems, in the field of process modelling and optimisation (using AI/ML and CFD). He was the lead PI at Dairy Processing Technology Centre (DPTC) to develop initial adaptive processing models/tools such as predictive data analytics models in the dairy sector. He has participated at various EU projects as co-PI to develop digital twin and extended reality (XR) applications for advanced manufacturing, such as real-time robotic toolkits (RTForm), AR-assisted assembly (ARIOS), and VR-based safety training environments (VRSafe). He is also one of two Irish management committee representatives on COST Action CA23107 - Network for Evidence Synthesis in The Agri-Food Sector (EU-NESA) and CA24136 - Interactions between Control Theory and Machine Learning (InterCoML).

He is open to collaborations and participate in relevant funding calls such as Horizon Europe Work programme and Marie Skłodowska-Curie Actions.

Research Interests:

• AI and Transfer Learning in advanced manufacturing
• Digital Twins
• Agentic AI and Decision Support Systems
• Predictive data analytics solutions for manufacturing processes
• Computational Fluid Dynamics (CFD) and Integration of CFD and AI
• AR/VR-Based solutions for sustainable and human-centric manufacturing

Prospective PhD students and postdoctoral researchers are welcome to contact me about funding opportunities and relevant calls. 

I am available to support Chinese citizens interested in pursuing a PhD at UCD under my supervision and to assist these applicants in submitting proposals to the UCD-CSC funding scheme.