Tel: (+30) 2810 379895 Office Hours: Thursday-Friday 09:00-10:00   e-mail: kymakis@hmu.gr Professor Extended CV

Short CV

Emmanuel Kymakis is a Full Professor of Advanced Electronic Materials & Devices at the Department of Electrical & Computer Engineering at the Hellenic Mediterranean University (HMU) and a Fellow of the European Academy of Sciences (EURASC, 2025), elected within the Materials Science Division in recognition of his sustained contributions to materials science and electrical engineering. He currently serves as the Director of the HMU Institute of Emerging Technologies (2023–present) and was formerly the Vice-President of the HMU Research Center (2020–2023). He received his B.Eng. (First Class Honours, Valedictorian) from the University of Liverpool in 1999 and his Ph.D. from the University of Cambridge in 2003. Together with Prof. Gehan Amaratunga, he co-invented the polymer-nanotube solar cell — a seminal breakthrough that established carbon nanotubes as functional materials in organic electronics and opened an entirely new device paradigm.
Professor Kymakis is recognised among the most influential scholars worldwide, consistently included in the top 100,000 scientists across all fields for both career-long and single-year impact (2019–2025), according to standardised citation metrics (PLoS Biol 17(8): e3000384). He is also a ScholarGPS Lifetime Highly Ranked Scholar, placed in the top 0.05% of researchers globally in the field of Photovoltaics. His scholarly output comprises over 170 peer-reviewed articles, attracting more than 15,000 citations with an h-index of 65. He has secured over €10.7 million in competitive research funding and brings extensive industrial experience, having overseen the design and deployment of 67 MWp of operational photovoltaic parks.
As a leader in European deep-tech innovation, he coordinates the EIC Pathfinder Challenge project ELEGANCE on green, self-powered neuromorphic processing engines with integrated visual and functional sensing. From 2020 to 2023, he led the Energy Generation work package of the EU Graphene Flagship — Europe’s largest-ever research initiative — where he directed the deployment of the world’s first graphene-enhanced perovskite solar farm, a landmark demonstration that proved the outdoor stability of 2D-material energy technologies. He also serves as Director of the inter-institutional postgraduate programme “Nanotechnology for Energy Applications,” a collaboration between HMU, the University of Crete, and FORTH.
His research lies at the interface of nanotechnology and electrical engineering, driven by a unifying ambition: transforming the extraordinary properties of nanoscale materials into manufactured devices that deliver real-world impact in energy harvesting and computing. The group’s work spans five interconnected frontiers:

• Solution-Processable Graphene & 2D Materials: Development of graphene and related 2D material inks in liquid form and their integration via scalable deposition methods into high-performance charge-transport layers for printed electronics.
• Interfacial Engineering of Organic & Perovskite Solar Cells: Design of 2D-material interlayers that simultaneously optimise energy-level alignment and provide intrinsic moisture protection, significantly enhancing both device efficiency and long-term operational stability.
• Real-World PV Reliability & Degradation Studies: Systematic monitoring and mitigation of degradation mechanisms in PV devices and modules through combined accelerated laboratory testing and extended outdoor exposure campaigns — generating the durability data essential for commercial deployment.
• Industrialisation & Lab-to-Fab Transition: Engineering of eco-friendly, high-throughput manufacturing processes, including solution-processable inks and scalable printing techniques (slot-die coating, spray-coating), to enable the mass production of flexible optoelectronic devices.
• Neuromorphic Computing & Energy-Efficient AI: Creation of lead-free, environmentally stable perovskite memristors and light-operated neuromorphic processing engines for green, self-powered IoT edge computing.