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I'm Julie, a Lecturer in the School of Computer Science at the University of Nottingham. I am currently researching the development of an immune inspired algorithm, the Dendritic Cell Algorithm and the application of intelligent methods and data mining to thrill & fear discrimination. This means I get to ride a lot of rollercoasters, all in the name of research.
I'm just starting out on my journey as a full on academic researcher and lecturer in computer science, a transition which I am thoroughly enjoying. My current research has two parts to it: a combination of novel bio-insipred approaches and aiming to understand the processes of thrill based emotion in participants on extreme fairground rides.
My work with Artificial Immune Systems involves both abstract modelling of the immune system for the purpose of constructing novel algorithms and modelling of the immune system to figure out how select mechanisms actually function. In particular I am interested in the Danger Theory and the function of the innate immune systems, in particular Dendritic Cells
My newest and less conventional research entails the study of emotional responses of people on rollercoasters. This research is in conjunction with the Thrill Laboratory, where participants are monitored using wearable biosensing kits, cameras and microphones. My role is to mine this data and to conduct experiments to see if we can formulate what thrills people or what scares them. This ties in nicely with my life-long passion for riding rollercoasters and other extreme rides.
My previous work involved being part of an EPSRC adventure project that explored ideas from the Danger Theory. I worked as part of an interdisciplinary team, led by my supervisor Dr Aickelin. The project is involved in increasing our knowledge of the effects of danger signals on the immune system, and taking those finding and applying them to building more effective intrusion detection systems. The work comprising my PhD thesis described the development of an anomaly detection algorithm based on the function of Dendritic cells, termed the Dendritic Cell Algorithm (DCA). I have applied the DCA to port scan detection amongst other standard machine learning datasets. I'm particularly interested in detecting threats from insider attacks and the detection of outbound scanning activity. My PhD thesis is now available as a pdf download on my publications page.
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2022 IEEE Congress on Evolutionary Computation (CEC)pp.1-8, (2022)
Anna Malecka, Qunwei Wang,Sabaria Shah,Ruhcha V Sutavani, Ian Spendlove,Judith M Ramage,Julie Greensmith,Hester A Franks, Michael J Gough,Anja Saalbach, Poulam M Patel,Andrew M Jackson
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