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Research Projects

The Center for Nanoelectronics and Devices (CND) conducts its research in its central labs at AUC and Zewail City, as well as a group of well-equipped labs in local universities and institutions where CND has agreements. CND hires top junior VLSI researchers who work on industry-relevant research topics advised by industry engineers and CND Senior researchers. The research conducted by the junior researchers coincides with the research work required in their postgraduate studies. Research projects span the fields of Electronic devices, Custom digital VLSI, Analog, RF and mixed-signal circuits, MEMs, optics and optoelectronics, EDA, Innovative Design Methodologies and Verification Techniques, and Hybrid Systems Integration.

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The project is funded by ITAC Collaborative Funded Programs.

Project Partners

  1. Center of Nanoelectronics and Devices (CND) was established in 2012; with its many industrial collaborations with Mentor Graphics, Helic INC, IBM, Intel, Semiconductor Research Corporation (SRC), Khalifa University, the center has extensive funding and fundraising as well as many patents since its establishment (9 are granted). The center also contributed to 270 IEEE publications that are published in top international Journals and Conferences. 
  2. TSK: A technological and services Spanish company that offers efficient, sustainable, and digital solutions for the industrial and power sector.
  3. EES: Empower Energy Systems is the merger of two startups (Sola and Energy Technik). An academic spinoff focused on research and development with a rich pipeline of products and a service-based engineering company specialized in power systems, energy generation & efficiency. EES is specialized in building turn-key solar photovoltaic power plants offering On-Grid, Off-Grid as well as Hybrid Solutions.

Project Objectives

  • Develop an Industry 4.0 system capable of monitoring and controlling a solar PV power plant based on Industry 4.0 KETs.
  • Construct an IIoT-enabled PV power plant, solving vertical and horizontal integration problems and taking into account cybersecurity issues.
  • Design new sensors and inspection technologies for PV plant characterization.
  • Define and implement novel operation and maintenance data science algorithms based on Artificial Intelligence techniques to improve the maintenance of the PV plants as well as predict the production.
  • Build a 25-30 Kwp PV demo plant to test the system (TRL7)