Dr Hasan Abbas
- Lecturer (Electronic & Nanoscale Engineering)
I received the BSc (Hons) degree in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan in 2009, and PhD in Electrical and Computer Engineering from Texas A&M University in 2017 as a Fulbright scholarship recipient. From 2009 to 2012, I was a lecturer at the department of electrical engineering, UET Lahore, KSK campus. I worked as a postdoctoral research associate at the Department of Electrical and Computer Engineering, Texas A&M University at Qatar from April 2018 to June 2019. Since June 2019, I have been affiliated with the University of Glasgow, UK where I am working as a Lecturer at the Glasgow College UESTC and James Watt School of Engineering. I am currently serving as the secretary of the IEEE joint AP/MTT societies Scotland chapter and an executive member of the IET electromagnetics professional network.
Some of the areas that I have recently been working are briefly described below.
Realtime Super-resolution Microscopy Techniques
The covid-19 pandemic has further highlighted the necessity to have scientific instruments through which potentially harmful biological systems can be investigated in real-time, with as much detail as possible. Often, microscopy technologies require multiple exposures to obtain an image with any meaningful resolution, which unfortunately prevents the live observation of the samples. Considering this need, I am interested in plasmonic microscopy that is based on two-dimensional (2D) materials and a spatially structured illumination which can help understand better how dangerous biological samples such as virus work, through a real-time observation.
Contemporary EM device design techniques for antennas and other radiofrequency (RF) devices are based on iterative trial-and-error methods, that are naturally inefficient as well as painstakingly slow. EM design powered by artificial intelligence (AI) not only automates the analysis but reduces the time-to-market for wireless devices. For this proposal, I am looking for highly talented students with a strong mathematical background to develop AI-enabled, robust inverse EM design techniques that have an immense potential for knowledge transfer to the industry.
Developing Greener Antennas
The global market for antennas for communication is expected to reach £ 23.16 B, which is driven by the demands of mobile networks and autonomous vehicle (AV) systems such as cars, and drones. As we go higher in frequency such as the millimetre band, microstrip antennas need to generate highly directive EM waves, which is only made possible by a high-power consuming RF chain. The aim of this project is to investigate plasma, the fourth form of matter to design antennas, that can provide faster reconfigurability and higher bandwidth, but most importantly help minimise the energy footprint of the overall communication system.
- Location Tracking System for autonomous monitoring of Bulks of Cereal Grain (EPSRC IAA + GKEF) - £10,183.24 (PI)
- Self-directed learning through Virtual Reality - £65,000 (co-I)
- Remote healthcare system for diabetes management - £49,974 (co-I)
Proposals for Prospective Students
High-Resolution Plasmonic Imaging Technique using Semiconductor Heterostructures
Plasmonics in the optical and terahertz frequency regions has enabled the development of ultra-small yet efficient sensing and detection devices. This project focuses on the design and modelling of plasmonic devices in these frequency domains. Super-resolution imaging techniques is one of the many attractive applications of plasmonics. We aim to understand the science behind the interplay of materials and electromagnetic waves that unlock some of the extraordinary physical phenomena.
Development of accurate multiphysics solvers to simulated wave phenomena in two-dimensional materials
Advancements in fabrication technologies have enabled the realization of purpose-specific two-dimensional materials that have atomic-scale thickness. These 2D materials are highly attractive in the development of high-frequency communication devices. Here we aim to develop simulation tools through which the electromagnetic wave phenomena of 2D systems can be analyzed with high accuracy and reliability.
For PhD students
If you are interested in pursuing a PhD with me, there are various avenues for fundings and scholarships that can be explored. Some of them are listed below:
Scholarship from School of Engineering, University of Glasgow:
If you are a student from the People's Republic of China, you may apply for the CSC scholarship:
Other opportunities such as the Commonwealth Scholarship and Erasmus fundings can also be jointly explored.
Fellowships for Postdocs/Visiting Researchers
If you would like to pursue postdoctoral research with me, there are also many fellowship opportunities, some of the most notable are listed below:
- EPSRC Fellowships
- The Leverhulme Trust Early Career Fellowships
- Royal Academy of Engineering Fellowships
- British Academy Postdoctoral Fellowships
- Newton International Fellowships
- Marie Skłodowska-Curie actions - Research Fellowship
- CSC postgraduate scholarship
- Jaspreet Kaur
- Abdoalbaset Ali Yusef Abohmra
- Yiqun Zhang
- UESTC 1005 - Introductory Programming
- UESTC 0108106017 - High-Frequency Communication Systems (PhD Course)
- Member, IEEE
- Member, IET
- Associate Member, EPSRC Peer Review College
- Guest Associate Editor, Frontiers in Communication and Networks - IoT and Sensors