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Prof. Yasser M. El Battawy

Program Director of Engineering Core

Faculty Office Ext.

1753

Biography

Prof. Yasser El-Batawy is a highly accomplished academic with expertise in optoelectronics. He earned his B.Sc. in Electronics and Electrical Communications Engineering from Cairo University in 1996, followed by an M.Sc. in Engineering Physics from the same institution in 2000. In 2005, he completed his Ph.D. in Electrical and Computer Engineering at McMaster University in Canada, focusing on the "Modeling of High-Speed Photodetectors." He was a postdoctoral fellow in the ECE Department at McGill University, Canada, from 2005 to 2006. In 2006, he joined the Engineering Physics Department at the Faculty of Engineering, Cairo University, as an assistant professor and eventually achieved the rank of associate professor. In May 2022, he was promoted to full professor in Engineering Physics. His current research focuses on high speed photodetectors, infrared sensing, photovoltaics, plasmonic photovoltaics, Quantum Dots, and stochastic analysis of photonic devices.

Prof. Yasser's professional journey also includes a role in 2013 as a senior member in the technical office of the Egyptian Educational Development Fund (EDF). Since February 2018, he has been a professor in Engineering Physics at Nile University. At Nile University, he holds the position of Director of the Engineering Core Program, showcasing his leadership capabilities.

Prof. Yasser has extensive experience teaching a wide range of undergraduate and graduate courses. He has designed, taught, and supervised courses such as Engineering Physics, Electric Circuits, Electromagnetic Fields, Solid-State Electronics, Optoelectronics, and Photovoltaics at various universities, including Cairo University, Nile University, Egyptian E-Learning University (EELU), and the Arab Academy for Science, Technology & Maritime Transport. Notably, he has developed an online platform for Engineering Physics courses at Nile University, in addition to the traditional classroom format, and oversees all associated laboratory work.

Achievements
  1. Prof. Yasser received the Supervision of Best Master Thesis in Cairo University for from Cairo University.
  2. He received the Natural Sciences and Engineering Research Council of Canada (NSERC)-Postdoctoral Fellow (NSERC-PDF) for Postdoctoral Fellowship from Natural Sciences and Engineering Research Council of Canada.
  3. He received the Ontario Graduate Scholarship (OGS) from the Province of Ontario.
  4. He received the NU Outstanding Teaching Award from Nile University.
Recent Publications

Quasi-Monte Carlo Technique With the Halton Sequence Applied To Mushroomwaveguide Photodetectors (WGPDs)

Monte Carlo (MC) simulation is a widely adopted computational method that relies on random sampling, but it is susceptible to exhibiting patterns and biases due to the use of pseudo-random numbers. In contrast, Quasi-Monte Carlo (QMC) techniques employ low discrepancy sequences, resulting in more evenly distributed random numbers and the potential for more accurate and reliable simulation outcomes

Artificial Intelligence
Circuit Theory and Applications

Design Of Step Pyramidal Nanoparticle For Plasmonic Photovoltaics

Plasmonic Photovoltaics (PVs) are an effective method for increasing optical absorption by adding metallic nanoparticles to the photovoltaic active layer. The role of these nanoparticles is confining the incident light near them in the PV cell, resulting in thin film PVs of enhanced efficiency. Therefore, different materials and new NPs shapes are used for this purpose. In this research, a step

Artificial Intelligence
Circuit Theory and Applications
Mechanical Design

Interdigitated C-Patch Metamaterial Antenna for Terahertz Sensing

This paper proposes a metamaterial Terahertz sensor with detected sensitivity for biomedical applications. The proposed sensor consists of two interdigitated golden C-shaped structures on top of Teflon substrate that is backed by a gold layer. The absorption spectrum contains a peak resonance corresponding to the maximum absorption of the sensor. The proposed sensor has a maximum narrow-band

Artificial Intelligence
Healthcare
Circuit Theory and Applications

Enhancement of plasmonic photovoltaics with pyramidal nanoparticles

Light trapping as a result of embedding plasmonic nanoparticles (NPs) into photovoltaics (PVs) has been recently used to achieve better optical performance compared to conventional PVs. This light trapping technique enhances the efficiency of PVs by confining incident light into hot-spot field regions around NPs, which have higher absorption, and thus more enhancement of the photocurrent. This

Artificial Intelligence
Circuit Theory and Applications

Stochastic modeling of 2D photonic crystals

Due to the fabrication processes, inaccurate manufacturing of the photonic crystals (PCs) might occur which affect their performance. In this paper, we examine the effects of tolerance variations of the radii of the rods and the permittivity of the material of the two-dimensional PCs on their performance. The presented stochastic analysis relies on plane wave expansion method and Mote Carlo
Energy and Water
Circuit Theory and Applications
Innovation, Entrepreneurship and Competitiveness

Stochastic modeling of mushroom—waveguide photodetectors

Waveguide photodetectors (WGPDs) are one of the promising candidates to solve the tradeoff between the quantum efficiency and the transit time in the surface illuminated photodiodes where the lightwave is incident laterally perpendicular to the direction of the flow of generated carriers, enhancing both high speed and quantum efficiency. In Mushroom-WGPDs, the performance degradation due its

Circuit Theory and Applications
Innovation, Entrepreneurship and Competitiveness

A Stochastic Modeling of the Gain in Waveguide Avalanche Photodetectors (WG-APDs)

Waveguide photodetectors are considered as a promising candidate for high speed photodetection where the tradeoff between the transit time bandwidth and the quantum efficiency is overcome as the incident optical signal and the photogenerated carriers move in perpendicular directions. In WG-Avalanche Photodetectors (WG-APDs), the avalanche multiplication gain enhances the photocurrent of the

Circuit Theory and Applications
Software and Communications

Modeling and characterization of carrier mobility for truncated conical quantum dot infrared photodetectors

In the present paper, a theoretical model for calculating the carrier mobility which is a result of the existence of a truncated conical quantum dots of n-type quantum dot infrared photodetectors (QDIPs) is developed. This model is built on solving Boltzmann’s transport equation that is a complex integro-differential equation describing the carrier transport. The time-domain finite-difference

Circuit Theory and Applications

Modeling of carrier mobility for semispherical quantum dot infrared photodetectors (QDIPs)

Carrier mobility for quantum dot infrared photodetectors is considered as one of the critical parameters to determine many important device’s performance parameters such as the electrical conductivity, drift velocity, dark current and photocurrent. In this paper a complete theoretical model of the carrier mobility for semispherical quantum dot structures is developed. This model is based on the

Circuit Theory and Applications
Research Tracks
  • Optoelectronics
  • High-Speed Photodetectors
  • Quantum Dot InfraRed Photodetectors
  • Plasmonic Photovoltaics 
  • Stochastic Modeling of Photonic Devices
Projects
1
Research Project

Plasmonic Sensors for Biomedical and Infra-Red Detection Application

Objective/Contributions: The project aims at proposing a new Infra-Red sensor design by employing a plasmonic effect. Plasmonic devices have great potential for biomedical applications due to the sensitivity of the localized surface plasmon resonance to the surrounding medium. Therefore, proposed metasurface sensors are tuned for Biomedical applications as medical diagnostic tools. Enhancing
Research Project

Terahertz Metamaterial Structures for Biomedical Sensing Applications

A new design of interdigitated E-shaped metamaterial sensor has been proposed. The structure has been intensively studied using CST software and is optimized to achieve ultrahigh sensitivity at the Terahertz range. Two different structures of the E-shaped sensors have been proposed. Both structures are characterized by a high absorption level at their resonant peaks with an ultra-high sensitivity