I am currently supervising a number of PhD students.
- Marco Filetti
has been developing EEG Subliminal Salience Search; that is, exploring how
humans can search amongst a stream of stimuli that is presented so rapidly
and with sufficient marking that the vast majority of the stimuli are not
consciously perceived. Despite this, the brain can ‘pick out’
stimuli presented to it in this format that are salient. When combined
with EEG, this characteristic suggests a number of applications of
subliminal salience search, including lie detection and brain computer
interaction. Marco is exploring such applications.
Ahmad is using EEG to explore how working memory capacity might be
impaired in dyslexia. Her work focuses on the N-back task, which enables
the difficulty of working memory maintenance to be parametrically
manipulated. Jumana is jointly supervised with
Heather Ferguson in Psychology at Kent.
- Abdulmajeed Alsufyani is working on subliminal salience search,
a mode of stimulus presentation in which the brain ‘picks out’
the stimuli that are salient to it, from amongst a stream of stimuli
presented on the fringe of awareness. Abdulmajeed is working on lie
detector and brain computer interface applications of EEG-marked
Subliminal Salience Search, with a particular focus on classification of
the resulting EEG time series.
- Susan Haynes
is working on the Attention Blink phenomenon, which demonstrates a significantly
reduced capacity to consciously perceive stimuli when they closely follow
a prior stimulus in time. She is interested in the sensitivity of
conscious perception in situations such as the Attentional Blink. She is
developing a neural model based on the Simultaneous Type/ Serial Token
model and empirically verifying her model.
- Jenny Cooke
is interested in states of consciousness, as arise from brain damaged patients,
e.g. vegetative and coma states; and under anaesthetic sedation. She is
looking at how evoked electrical brain responses change across this
variety of states of awareness.
- Amirali Shirazibeheshti is exploring the EEG analysis
tools that are available to analyse brain processing both on the scalp and
inside the brain. He is particularly looking at connectivity analysis
techniques, such as Dynamic Causal Modelling. He is seeking to apply these
methods to understand different states of consciousness.
Of my PhD students, the following have completed:
Steen worked on composition and consistency checking of partial
specifications written in the process algebra LOTOS. More details of
Maarten's thesis can be found on his web
page. The title of his thesis was, "Consistency and Composition
of Process Specifications" which he successfully defended in 1998.
His examiners were Professors Guy Leduc and David Turner. He was funded by
an internal UKC bursary: an EBSpratt award, with
some extra financial support from British Telecom Research Laboratories.
- Charles Briscoe-Smith worked on type
management in distributed systems, with a particular emphasis on
behavioural subtyping in a process algebra
setting. He was funded by British Telecom and EPSRC case award.
- Vikki Roberts (MRes
Student) worked on neural network based computational modelling of human
word reading. She particularly focused on localist
(activation gradient) models of word reading, such as Davis' Solar model. She sought to show
how such techniques can be used to model the Word Superiority Effect,
which is one of the most significant phenomena in word reading.
- Rodolfo Gomez worked on decision
procedures for interval temporal logic and verification of real-time
systems using timed automata. He began by considering how interval
temporal logic could be related to WS1S (Weak Second Order Logic of One
Successor). Then he looked at a number of different real-time extensions
of communicating automata (including timed automata), explored the
verification capabilities of such techniques and then investigated how to
demonstrate timelock freedom in timed automata
models. Rodolfo was funded under the Overseas Research Students Awards
Scheme (ORS) and via the Computing Laboratory at Kent.
- Kiran Kalidindi (see
following: link 1 and link 2) worked on human
reasoning, decision making and the role of emotions in these processes. He
developed an abstract neural network model and a reinforcement learning
model of the behaviour of normal healthy controls and a spectrum of
patient groups on the Iowa Gambling task. He particularly focused on
patients with lesions in the ventral medial prefrontal cortex and the dorsolateral prefrontal cortex, both of whom are known
to have decision-making deficits. Kiran was funded by the University of Kent Computing Laboratory.
- Su Li (see following: link 1 and link 2)
worked on the relationship between symbolic and sub-symbolic computation.
In particular, he developed a communicating automata based model of neural
networks and he explored how to use model checking to answer questions
about the class of problems that neural network learning algorithms can
learn. In addition, he developed formal methods-based models of how
salient distracting items capture human attention, where salience is
considered in a semantic and emotional sense. Su Li was partially funded
by the University
of Kent Computing Laboratory.
- Patrick Craston
worked on temporal attention. Specifically, he ran EEG experiments to
understand the temporal dynamics of human attention and to validate
predictions arising from (Bowman and Wyble’s)
Simultaneous Type, Serial Token model of temporal attention and the
attentional blink. These experiments explored the latency and magnitude of
the P3 component of the Event Related Potential (ERP). Patrick was funded
by the Engineering and Physical Sciences Research Council. Patrick was jointly
supervised with Brad
- Srivas Chennu worked
on temporal attention in humans. He undertook a combined EEG, behavioural
and computational exploration of the spotlight of temporal attention. This
validated predictions arising from Bowman and Wyble’s
Simultaneous Type, Serial Token model focused on the temporal acuity that
attention provides. Srivas particularly explored feature mis-bindings (also called illusory conjunctions).
These arise when multiple salient items, each of which comprises a number
of features, are presented in close temporal succession. Srivas was funded
by the University of Kent.
- Kristina Dietz worked
on recognition memory in humans. She undertook behavioural and EEG studies
of the directed forgetting paradigm in recognition memory. This particularly
focused on the mirror effect, which is a well-known regularity of human
memory. She also explored computational modelling in this context.
Kristina was jointly funded by the Computing and the Psychology
departments at Kent and was jointly supervised with Hannie
van Hooff in Psychology.
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Last modified April 2012.