Agin Vyas

Agin Vyas is a researcher at Chalmers University of Technology specializing in microsupercapacitors, energy harvesting technologies, and on-chip power solutions for self-powered sensor networks. He completed his Doctoral thesis in 2022 titled 'On-chip electrochemical capacitors and piezoelectric energy harvesters for self-powering sensor nodes' following his Licentiate thesis in 2019.

Dr. Vyas's research focuses on developing CMOS-compatible microsupercapacitors, vertical graphene-based energy storage devices, and integrated energy harvesting solutions. His work addresses critical challenges in electrode design, materials science, and device integration for on-chip power applications. He has made significant contributions to understanding the impact of electrode geometry, surface roughening techniques, and novel materials like reduced graphene oxide on microsupercapacitor performance. His research spans fundamental materials investigations to practical device implementation, with a strong emphasis on manufacturability and integration with existing semiconductor processes.

Analysis of Dr. Vyas's publication record from 2016-2024 reveals a consistent research trajectory with increasing complexity and impact. His work has evolved from foundational studies on individual components to integrated systems combining energy harvesting and storage. The research spans materials science, device physics, and practical engineering considerations, demonstrating both theoretical depth and practical applicability. His publications appear in reputable journals across materials science, microelectronics, and energy storage domains.

Dr. Vyas currently leads the European Commission-funded 'GreEnergy' project (2021-2024) on wideband optical antennae for energy harvesting applications, demonstrating his capability to secure competitive research funding and lead significant research initiatives. His work bridges fundamental materials science with practical engineering solutions for next-generation energy systems, with applications in IoT, wearable technology, and autonomous sensor networks.