Lab Presentation and Open Positions

The Laboratory for NanoIntegrated Systems (LNIS) research aims at developing low-power high-performance versatile computing systems by exploring the opportunities coming from novel EDA techniques and their links to emerging device technologies. Projects are carried out in an interdisciplinary team with a wide range of competences and in close collaboration with other labs and partners.

Prospective PhD and MSc/BSc students are encouraged to apply to the research group at the University of Utah.

Interested applicants shoud send CV and research statement by e-mail to Dr. Gaillardon at the following address:


Latest News

NEWS 01/20/2020: Paper "C2TIG: Dynamic C2MOS Design Based on Three-Independent-Gate Field-Effect Transistors" has been acepted by the IEEE Transactions on Nanotechnology.

NEWS 11/07/2019: Paper "A Scalable Mixed Synthesis Framework for Heterogeneous Networks" has been accepted by the 2020 DATE conference.

NEWS 11/04/2019: Prof. Gaillardon received the IEEE CEDA Ernest S. Kuh Early Career Award for his contributions to Electronic Design Automation targeting emerging logic and memory technologies! Picture here.

NEWS 10/28/2019: The abstract "Engaging Pre-College Students in Hypothesis Generation using a Citizen Scientist Network of Air Quality Sensors " has been accepted by the 2020 Annual Conference & Exposition.

NEWS 10/10/2019: Paper "Exact Benchmark Circuits for Logic Synthesis” has been accepted for publication in the IEEE Design & Test journal. Congrats to Walter!

NEWS 10/07/2019: Congrats to Giovanni Resta for receiving the EPFL Microsystems & Microelectronics Doctoral Program 2019 Thesis Distinction.

NEWS 10/06/2019: Paper "A Study on Switch Block Patterns for Tileable FPGA Routing Architectures ” has been accepted by the FPT 2019 conference.

NEWS 09/26/2019: Congratulations to Tom for being awarded the 2020 Air Quality Scholarship sponsored by the University of Utah.

NEWS 09/10/2019: Paper: "A Distributed Low-Cost Pollution Monitoring Platform" has been accepted by the IEEE Internet of Things Journal. Congrats to Tom!