Narasimhulu Thoti
PhD
Postdoctoral Researcher
Semiconductor Device Technology
Microelectronics
Faculty of Information Technology and Electrical Engineering
He received PhD degree from the National Yang-Ming Chiao Tung University, Taiwan. Currently, he is working as a Postdoctoral Researcher under Prof. Hannu-Pekka Komsa in the Microelectronics Research Unit (MIC). "He primarily focuses on various aspects of Semiconductor Device Modeling and Design, ranging from transistors to circuits (memory). Currently, his work involves the design and modeling of transistors, with an emphasis on fundamental physics, aimed at enhancing performance and efficiency. In the area of transistor design, he is exploring advanced technology nodes, such as complementary field-effect transistors (CFETs) with vertical and gate-all-around (GAA) structures. He is also working on new principle devices like tunneling field-effect transistors (TFETs) and material-based concepts such as ferroelectric or negative capacitance, which are in progress for production. These advancements at the device level ultimately benefit circuit integration by improving performance from the ground up.
In emphasizing modeling, physics-based conceptual techniques are essential. He has over seven years of experience working with commercially available "Technology Computer-Aided Design (TCAD)" tools. Additionally, he has been involved in using circuit-level implementation tools like Cadence to "bridge TCAD with Cadence" for futuristic applications. His contributions also extend to the field of AI, specifically in applying machine learning to semiconductor device modeling. He is interested in leveraging advanced FET designs for medical applications, such as biosensors.
Research interests
- Semiconductor Device Modeling and Design: FETs, TFETs, Negative Capacitance FETs (NCFETs) or Ferroelectric FETs, 2D-FETs, CFETs, and so on.
- Circuits: Inverter, SRAM, DRAM, and so on.
- Machine Learning for Semiconductor Device Modeling
- Transistors in biomedical applications: Bio-Sensors
Researcher information
Research groups
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Contact information
Visiting address
Erkki-Koiso Kanttilankatu 3, Linnanmaa,
University of Oulu
Finland
Postal address
P.O. Box 4500
90014 University of Oulu
Finland