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Elif is an interdisciplinary researcher working at the intersection of design, materials science, artificial intelligence and physical AI, with a particular focus on how materials, computation and human-centred design can be brought together to create new forms of materials intelligence, interaction and innovation.

She is Reader in Smart Materials and Senior Tutor in Textiles at the Royal College of Art, Co-Lead of the Creative Intelligence Exchange, and Lead of its Material Intelligence research area. Her research spans AI-enabled design and manufacturing systems, smart and responsive materials, intelligent textiles, physical AI and robotics, wearable technologies, sensing, sustainable manufacturing and material-data ecosystems.

Trained as a textile engineer and materials scientist, Elif received her BSc in Textile Engineering from Istanbul Technical University and PhD in Materials Science and Engineering from Sabanci University. She undertook part of her doctoral research at the University of Cambridge and later received a Marie Sklodowska-Curie Individual Fellowship to develop graphene-based technologies for wearable communication. She also holds a Postgraduate Certificate in Art and Design Education from the Royal College of Art.

Her work increasingly investigates how AI can extend beyond digital content generation towards materially grounded and physically embodied intelligence: systems that can recognise, interpret and reason with materials; interact with physical environments; support human decision-making; and become integrated into textiles, wearables, products and robotic systems.

Across more than seventeen years of research, Elif has led and contributed to interdisciplinary projects spanning academia, industry, healthcare and the creative sectors. Her portfolio has generated peer-reviewed research, patents, licensed technologies, AI tools, commercially launched products and award-winning industry collaborations. As Principal Investigator and Co-Investigator, she has contributed to securing more than £2.5 million in research funding from organisations including InnoHK/AiDLab, Horizon 2020, Innovate UK, AHRC, the Royal Academy of Engineering, TUBITAK and industry partners.

Research students

Hongyun Ahn

Current

Sassan Jahangiri

Completed

Jisun Park

Current

Sinae Song

Current

Junying Zhou

Current