Research Team
EMOS is developed by a dedicated team of researchers combining expertise in materials science, computational physics, and software engineering. This project originated as a research initiative from the APRIL AI Hub, with a vision to tackle critical challenges in materials discovery for electronics devices and applications. Our mission is to curate high-quality data and develop sophisticated AI models that enable efficient, reproducible, and scalable materials discovery. By creating a unified platform that integrates diverse databases, computational tools, and machine learning models, we aim to democratize access to advanced materials research capabilities and accelerate the development of next-generation electronic materials.
Researchers
Dr. Atish Dixit
Lead Researcher
Leading the development of EMOS with expertise in materials informatics, machine learning, and computational physics. Responsible for system architecture and research coordination.
Dr. Alexandros Keros
Postdoctoral Researcher
Specialist in computer science, materials informatics, and computational topology. Involved in system architecture design and establishing guidelines for open-source contributions.
Dr. Shashank Mishra
Postdoctoral Researcher
Specialist in computational materials science and AI-based materials discovery. Involved in developing and integrating information units and computational features.
Dr. Ben Rowlinson
Postdoctoral Researcher
Specialist in electronic device design and materials discovery for electronics applications. Involved in developing and integrating information units and features for device-focused research.
Advisory Team
Prof. Themis Prodromakis
Principal Investigator
University of Edinburgh
Regius Chair of Engineering at the University of Edinburgh and Director of the Centre for Electronics Frontiers. Leading expert in electronic materials and nanodevices with extensive experience in characterizing novel materials and developing AI hardware solutions. His work bridges materials innovation and practical electronics applications.
Prof. Jacqueline Cole
Co-Investigator
University of Cambridge
Royal Academy of Engineering Research Professor in Materials Physics. Combines artificial intelligence with data science and computational methods for data-driven materials discovery. Her expertise in computational materials design and AI-driven discovery directly supports EMOS's core mission.
Prof. Subramanian Ramamoorthy
Co-Investigator
University of Edinburgh
Personal Chair of Robot Learning and Autonomy at the University of Edinburgh. Expert in machine learning, decision-making under uncertainty, and trustworthy AI. Contributes strategic insights on integrating intelligent systems and ensuring robust automation in materials research workflows.
Institutional Partners
EMOS is developed through collaboration between leading research institutions and organizations committed to advancing materials discovery for electronics. Our partners bring complementary expertise in materials science, artificial intelligence, and computational research.
APRIL AI Hub
University of Edinburgh
University of Cambridge
UKRI EPSRC