Speaker: Ying Li
Area of career: Academia
Research interest: High frequency power conversion
Talk title: Modified Control Schemes for Very High Frequency DC-DC Converters with Efficiency Improvement
Talk topic: Very high frequency (VHF, 30 MHz−300 MHz) converter is popular in low power conversion applications, such as portable devices and electrical chargers for high power density and fast dynamic response. In the VHF converters, constant switching frequency (CSF) ON-OFF control is usually adopted to regulate the output with the advantages of simple. However, in CSF ON-OFF control, the conversion efficiency reduces a lot with the increase of the input voltage. To solve this problem, two modified control schemes for the VHF converters are proposed, which are variable switching frequency (VSF) ON-OFF control and multi-power-level (MPL) hysteresis control. With these two modified control schemes, the conversion efficiency can be improved by 5%-15% under wide input voltage and load range.
Biography: Ying Li (Member, IEEE) received the B.S. and Ph.D. degrees in electrical engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2014 and 2020, respectively. Since 2021, she has been a Research Fellow with the Research Group of Power Electronics, Machines and Control, University of Nottingham, Nottingham, U.K. Her research interests include dc–dc conversion, wide-band-gap semiconductor power device application, and high switching frequency power conversion system.
Speaker: Busola Oronti
Area of career: Academia
Research interests: Artificial Intelligence, Data Analytics and Internet of Things
Talk title: An optimised python tool for analysing time and frequency domain features of heart rate variability (HRV) signals
Talk topic: Over the past half-century, heart rate variability (HRV) measures have been identified and developed as a quantitative marker of autonomic activity. MATLAB-based HRV analysis tools are the most common. However, because Python is currently the programming language of choice in software development, we undertook to optimise existing HRV analysis tools implemented in Python to enhance ease of use, accuracy, proper documentation and performance. This talk describes the process of developing this tool as part of an in-depth research on optimizing the discriminatory power of HRV measures for multi-class categorization of congestive heart failure (CHF) severity.
Biography: Iyabosola B. Oronti received the B.Sc. degree in Electrical and Electronics Engineering from The University of Ibadan, Ibadan, Nigeria, in 1998 and the M.Sc. degree in Electrical and Electronics Engineering from The University of Lagos, Akoka, Nigeria, in 2011. She is currently pursuing her Ph.D. degree in Biomedical Engineering at The University of Warwick, Coventry, UK. From 2006 to 2017, she was a Laboratory Scientist with the Electrical and Electronics Engineering Department of The Federal University of Agriculture, Alabata, Abeokuta, Nigeria. She later crossed over to the Department of Mechatronics Engineering in the same university as a Lecturer in 2017.
Iyabosola has authored over 10 peer-reviewed papers in journals and conferences. Her research interests include internet of things IoT, signal processing, device development in the field of biomedical engineering using frugal techniques, and early disease detection, diagnosis and management using artificial intelligence (AI), machine learning (ML), and deep learning (DL) methods. Some of her most recent awards, honours and prizes include The Nigerian Government Tertiary Education Trust Fund (TETFund) scholarship scheme for doctoral training and development for university teaching staff, the Laura Bassi Editorial Assistance Scholarship Award for junior academics Winter 2019 edition, winner of the 3-Minute Thesis ‘People’s Choice’ prize at the University of Warwick’s School of Engineering PG Symposium, and the first runner-up, 3-Minute Thesis, health early career researchers workshop, University of Warwick.
Speaker: Hadeel Alrubayyi
Area of career: Academia
Research interests: Internet of Things Security
Talk title: Artificial Immune Systems for Malware Detection in the IoT
Talk topic: The fast growth of the Internet of Things (IoT) and diverse applications increase the risk of cyberattacks, one of which is malware attacks. Due to the IoT devices’ different capabilities and the dynamic and ever-evolving environment, applying complex security measures is challenging, and applying only basic security standards is risky. Artificial Immune Systems (AIS) are intrusion detecting algorithms inspired by the human body adaptive immune system techniques. They are lightweight, adaptive, and able to detect malware attacks without prior knowledge. I present an analysis that highlights the state-of-the-art in AIS research and offer insights into promising new research directions.
Biography: Hadeel Alrubayyi received the B.E. degree in Information Technology from King Saud University, Riyadh, Saudi Arabia, in 2011 and the M.S. degree in Computer Science from Howard University, Washington D.C., USA, in 2016. She was an IT consultant in various international firms with a focus on security threats analysis, risk assessment, and data protection.
Hadeel is currently pursuing the Ph.D. degree in Computer Science at Queen Mary University of London, London, UK. Her research interests include cyberattacks in the Internet of Things, and Artificial Immune Systems applications for malware detection.
Speaker: Agha Usama Hasan
Area of career: Academia
Research interests: Built environment, building simulation, climate change and sustainability
Talk title: Futureproof Supermarkets: A Study to Enhance the Building Performance Under Future Climate Change
Talk topic: Considering the current findings on the adverse effects of extreme weather conditions, researchers are focusing on designing eco-friendly buildings which are more adapt to extreme climate change. My research is the first comparative research investigating impact of climate change on energy consumption and carbon emissions of typical UK supermarket across multiple cities of UK.
I will take the audience on a journey to show how the trend of increasing variations, under different emission scenarios across the UK, enables the engineering community to understand the requirements for futureproof commercial buildings and improving the energy efficiency of buildings for the coming decades.
Agha Hasan is a final year PhD student as a Vice Chancellor’s PhD Scholarship candidate and author of multiple journal papers/articles. His research focus on the reduction of carbon footprint of UK supermarket specifically on the operational energy usage. A didactic academic who explores the field of climate change engineering as a researcher in the Built Environment department – University of West London (UWL) and is published in journals such as Sustainability, Advances in Energy Research and New Vistas.
He has been a regular journal reviewer of Business Management and Strategy journal (U.S.A) (ISSN: 2157-6068). Moreover, he has been appointed as a Student Representative on University Research, Scholarship and Enterprise Committee (URSEC) at UWL. He also supports as a lecturer assistant to postgraduate students on the module – Research Methodology.