In this track, we introduce novel analog CMOS designs for different applications such as analog front-end for sensor interface, RF- circuits, opto-electronics and energy harvesting. The group is also working on antenna design and micro-strip circuit design and implementation.

We have used our designs in different applications such as biomedical wearable and implantable devices. We design our CMOS circuits for low power applications and high speed applications.

• Analog Integrated Circuits

• RF circuit design

• Opto-electronics

This research group is working on implementing micro-controller based systems. Main challenge for embedded systems is the limited resources in memory, speed and power. We use AI to optimize energy consumption and also propose new implementations for AI algorithms to be implemented on a limited resources devices. 

In this research track, we work on novel implementations for low power sensor network and low power IoT for continuous monitoring of different applications such as smart agriculture and smart water management systems . 

• AI on Embedded systems

• System Integration

• IoT

This research group work on novel hardware implementations for algorithms for different applications such as image processing, hardware security and encryption algorithms. Hence, the outcome of this research is a hardware accelerators for different applications. We implement the modules using Verilog and validate its performance using FPGA kits. We also integrate the accelerators with different systems for different applications such as AI algorithms implementation and secure data communications.  

• Hardware Image Processing

• Hardware Security

• Hardware Accelerators

• Modeling
• Optimizations
• Testing & Reliability

Non-destructive test (NDT) is a technique used in industry to validate the quality and specifications in the outcome of the production process especially in industries such as casting, rolling, forging, extrusion, material removal processes and oil and gas industries. Usually, these industries requires accurate and precise manufacturing as small displacement (in micro-meter range) causes failure in the process which is very expensive. However, using traditional NDT in validating the production line quality is very slow step as it requires manual testing and hence time consuming. This also impact the efficiency of the production line and limits the quality control system of the production line. On the other hand, the Fourth Industrial Revolution is the next phase in the digitization of the manufacturing sector, driven by disruptive trends including the rise of data and connectivity, analytics, human-machine interaction, and improvements in robotics. Hence, NDT is a bottleneck for the industry 4.0 as it relies on human. So, implementing connected and smart NDT sensors have a potential impact on industry 4.0 development not only in Egypt but also worldwide. Also, the quality control process is a very expensive process but essential to maintain the productivity of the production line. However, automating the quality control is very difficult as it relies on the manual inspection. So, I will use my proposed connected smart NDT to build an online quality control system with continuous monitoring of the production line. The proposed system will also not only monitor the final product quality but also it will monitor the production steps. Then, in case of detecting any failure during the production process, the system can save time by skipping the remaining manufacturing steps in the production line. This significantly maximize the efficiency of the production line and minimize the cost of the production process by maximizing the yield.