University of Stirling
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Journal Editors at University of Stirling
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I'm interested in value-added optimisation: techniques which yield optimal or near-optimal solutions but also reveal underlying information about the problem to better support decision making. My main focus is in metaheuristics, including evolutionary algorithms and estimation of distribution algorithms; related issues such as fitness modelling (and mining such models), handling constraints and multiple objectives, and decision support; and application areas including scheduling and simulation-based optimsation in civil engineering and transport.
Muaz A. Niazi is a Chief Scientific Officer (Professor) at COMSATS Institute of IT, Pakistan. With an undergraduate degree in Electrical Engineering, Dr. Niazi has an MS and a PhD in Computer Sciences from Boston University, MA, USA and the University of Stirling, Scotland, UK respectively in addition to postdoc from University of Stirling’s COSIPRA Lab. Dr. Niazi’s areas of research interest are in the Modeling, Simulation and Engineering of Complex Adaptive Systems (CAS) using various techniques such as agent-based and complex network based approaches other than distributed pervasive/mobile application development. Dr. Niazi has published in many prestigious journals and conference proceedings besides several books. Dr. Niazi is the Founding Editor-in-Chief of SpringerOpen/Biomed Central’s Complex Adaptive Systems Modeling, an Open Access journal and IGI Global’s International Journal of Privacy and Health Information Management. He also serves as an Associate Editor for Wiley’s Transactions on Emerging Telecommunication Technologies. Dr. Niazi is an active member of the IEEE Consumer Electronics Society, IEEE Computational Intelligence Society and, IEEE Robotics & Automation Society. He regularly organizes and participates in various capacities in conferences, workshops, special sessions and journal special issues around the globe. Dr. Niazi also serves as the founding Head of the COmplex Systems MOdeling, Simulation & Engineering (COSMOSE) Research group at COMSATS. He is a senior member of the IEEE and has been listed in the “Who’s Who around the World”. Previously he has also served as Director Research at Bahria University, where he played an active role in laying the foundations of research practice in all University campuses.
Prof. Maisels studied the feeding ecology of mouflon in Cyprus for her PhD (Edinburgh University) and has since worked in Central Africa for three decades. She is a conservation scientist, advising the Wildlife Conservation Society's wildlife survey and monitoring programmes in Central Africa. Her expertise covers survey methodologies, wildlife abundance and distribution, wildlife ecology and protected area management. Dr Maisels was on the Scientific Commission of UNEP-GRASP (Great Apes Survival Partnership) 2007-2014, is on the Executive Committee of the IUCN/SSC Primate Specialist Group and is a member of the IUCN African Elephant Specialist Group. She is also a Fellow of the Royal Society of Biology. She was Honorary Research Fellow at the University of Stirling since 2008, and Hon Professor since 2018, specifically in the African Forest Ecology Group.
My research interests include physiology in marine invertebrates in response to environmental variability, this can be natural and anthropogenic, in particular the impact of ocean acidification. Ocean acidification has resulted from an anthropogenic increase in CO2 causing a decline in pH of 0.1 since the industrial revolution. This is further predicted to decline by 0.4 pH units by the year 2100.
I am currently working as a Research Fellow on the NERC funded project 'An understanding of biomineralisation pathways is key to predict climate change impact on aquaculture'. Climate change, in particular ocean acidification and global warming, threaten the marine environment. My research aims to accurately assess the effects of predicted ocean acidification and global warming scenarios on marine calcifying organisms. Determining the impact of ocean acidification on shell ultrastructure will enable us to predict the vulnerability of these organisms to climate change. Changes in the carbon source may limit shell formation although calcifying organisms such as molluscs can control biomineral growth. Understanding this biomineralisation process is vital to predict how vulnerable molluscs are to shell breakage and reduced survival under climate change.