I am currently supervising a number of PhD students.
- 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.
- 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 cluster-based familywise
error correction and single-trial analysis. He has applied these methods
to understand different states of consciousness.
- Alexia Zoumpoulaki
is developing EEG analysis techniques, and applying them to deception
detection. For example, she has worked on applying Dynamic Time Warping to
performing latency contrasts in EEG time series; and also assessed the
relative benefits of hypothesis testing using bootstrapping versus
Gootjes-Dreesbach is assessing the subjective
sense of visibility during the attentional blink task. She has identified
interesting patterns of order errors and is now running a first EEG study
in this context.
- Omid Hajilou is running EEG
experiments focused on deception detection and brain-computer interaction.
He has a particular interest in the processing of facial stimuli and
application of such processing in a forensics setting.
- William Jones is exploring
phenomenological awareness in the attentional blink. He is applying
cluster-based EEG analysis in this context.
- George Parish is developing
spiking models of long-term memory encoding and retrieval. He is being
jointly supervised by Simon Hanslmayr in Psychology at Birmingham.
- Adrian Witon
is applying and developing phase synchrony measures in the context of EEG
analysis. He has applied these techniques to distinguish coma and
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.
- Marco Filetti
developed EEG Subliminal Salience Search; that is, he explored how humans
can search amongst a stream of stimuli that is presented so rapidly and
with sufficient masking 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 explored such applications, leading to a series of deception
- Jumana Ahmad
used EEG to explore how working memory capacity might be impaired in
dyslexia. Her work focused on the N-back task, which enables the
difficulty of working memory maintenance to be parametrically manipulated.
Jumana was jointly supervised with Heather Ferguson in Psychology at Kent.
Back to Howard Bowman's home page.
Last modified April 2012.