I am Dr. Fiheon Imroze, currently working as a Research Associate in Electronics and Nanoscale Engineering at the University of Glasgow. My research sits at the intersection of cryogenic semiconductor device physics, quantum technologies, and advanced measurement engineering. I serve as the measurement lead for multiple research projects involving cryogenic characterization of state-of-the-art CMOS, FDSOI, and quantum devices, including quantum dots and Josephson junction arrays.

With a background in organic electronics and nano-device fabrication, I completed my PhD at the Indian Institute of Technology Madras. My doctoral research focused on enhancing the performance of solution-processed organic field-effect transistors using charge-injection engineering, supported by extensive device fabrication and TCAD modeling. This work laid the foundation for my transition into cryogenic device physics, where I now specialize in developing and automating measurement platforms operating down to millikelvin temperatures using dilution refrigerators and pulse tube cryostats.

My technical expertise includes FPGA-based automated characterization systems, SCPI-controlled precision instrumentation, and advanced TCAD simulations using Sentaurus and Silvaco. I have also led the integration of cryogenic test setups involving Bulk CMOS and FDSOI technologies, aiming to evaluate their behavior under extreme conditions for next-generation quantum and neuromorphic systems.

My research interests primarily revolve around advanced semiconductor devices and quantum technologies operating at cryogenic temperatures. I specialize in cryogenic device characterization and modeling, particularly of Bulk CMOS and Fully Depleted Silicon-on-Insulator (FDSOI) technologies at sub-Kelvin temperatures. I have extensive experience developing automated measurement systems integrating FPGA-based instrumentation and dilution refrigerators, enabling precise device characterization crucial for quantum computing and neuromorphic applications.

Additionally, my interests include exploring hysteresis-induced neuromorphic behaviors in transistors, semiconductor quantum dots, Josephson junction arrays, and scalable Cryo-CMOS interfaces. I am proficient in industry-standard device simulation tools such as Sentaurus TCAD and Silvaco, and adept in data analysis using Python, MATLAB, and Cadence parameter extraction.

My goal is to contribute towards energy-efficient quantum and neuromorphic computing by bridging advanced nanoelectronic characterization techniques with novel semiconductor device concepts at low temperatures.

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