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Research Seminars and Industry Talks

Students at a research seminar. The School has a variety of research seminars throughout the year. In many cases these will be presented by visiting experts in a particular field. There are also opportunities for our research students to present their own seminars relating to their particular field of study. If you would like more information on any of the seminars, please contact Professor Daniel Neagu or Dr Atilla Csenki.

Please select the year for the seminar series you are interested in on the left. Please see our seminars archive for details of previous seminars.

Research Seminars and Industry Talks for 2017- 18

PG Research Event
Research Seminar
Industry Talk

The 2nd Annual Innovative Engineering Research Conference (AIERC 2018) Prof Felician Campean and Dr Jian-Ping Li, 17 October 2018

Date: 17 October 2018 Time: 09:00
Location: Faculty of Engineering and Informatics
Speaker: Prof Felician Campean and Dr Jian-Ping Li

The Faculty of Engineering and Informatics invites all the students to participate to its 2nd annual Innovative Postgraduate Research Conference (AIERC 2018) at Bradford University on 17th Oct 2018.

The students at all levels of their research work are initially encouraged to submit their work in terms of papers for review and assessment by a Technical Committee members appointed across the schools.

The expected final technical programme includes papers presentations and poster sessions, will be addressed by the committee decision. All accepted papers will be published on the conference proceeding for internally use and the summarized abstracts will only be published on the Faculty web page.
. Paper submission: 01/06/2018
. Decision Notification: 01/08/2018
. Final Submission: 1/09/2018
. Conference: 17/10/2018
All the papers must be submitted through the easychair system ( To help ensure formatting, please use the IEEE conference paper template

Integrating Behavioural Security Factors for enhanced protection of Organisational Information Technology Assets Aristotle Onumo, PhD student, 02 May 2018

Date: 02 May 2018 Time: 13:00
Location: Horton D0.26
Speaker: Aristotle Onumo, PhD student

Recently organisations are beginning to realise that strategic application of controls and the application of security behavioural principles in organisational processes and procedures is a prerequisite to developing a cybersecurity infrastructure that will support economic development in line with organisations value orientation. In this study, we propose a model integrating employee security behavioural factors and prevailing organisational cultural orientation in predicting organisational compliance to cybersecurity policies. The model further seeks to demonstrate how the outcome will shape the development of cybersecurity culture in the organisation. Drawing from the theory of planned behaviour and competing value framework, a research model that fuses the constituent of the aforementioned using the framework of Partial Least Square was proposed while relevant hypothesis emanating from relevant literatures were also developed. The study's implication for continuing research and how this model will be tested empirically are discussed.

Aristotle holds a BSc(ed) Honours degree in Mathematics and Computer Science from the University of Agriculture Makurdi, Nigeria. He obtained his Master's degree in Information Technology Management from the University of Bradford in 2014. He currently works at the department of Standard Guideline and Framework of the National Information Technology Development Agency (NITDA) in Nigeria.
Mr. Aristotle is a certified Lead Implementer ISO/IEC 27001 Information Security Management System and Certified Lead Auditor ISO/IEC/ISMS 27001. He is also a Lead Implementer Business Continuity Management (ISO/22301).
He is presently pursuing his Ph.D. in strategic Cybersecurity. His research interest is in Cybersecurity Management and Organisational Culture.

An Analytical Performance evaluation for VM provisioning request in an OpenStack IaaS CCP Kabiru Maiyama, PhD student, 25 April 2018

Date: 25 April 2018 Time: 13:00
Location: Horton D0.26
Speaker: Kabiru Maiyama, PhD student

Queueing network models (QNMs) of Cloud Computing Platforms (CCPs) constitute essential quantitative investigation tools towards identifying acceptable levels of quality-of-service (QoS), whether for upgrading an existing CCP's deployed architecture or designing a new one. In this context, a new application-driven stable open QNM is proposed for the performance modeling and analysis of the OpenStack Infrastructure as a Service (IaaS) of a CCP architecture. It is assumed that the QNM has first-come-first-served (FCFS) rule, random routing and queueing stations with single and multiple servers of requests for the provision of virtual machines (VMs). Moreover, the QNM has bursty external arrivals following a Compound Poisson Process (CPP) with geometrically distributed batches and the queueing stations provide service times according to a Generalised Exponential (GE) distribution. Based on the maximum entropy (ME) principle and the GE-type QNMs, the stable open GE-type QNM is approximately decomposed into individual GE/GE/c queueing stations with c servers (c ≥ 1) and GE-type external interarrival and service times, each of which can be analysed in isolation. Consequently, closed-form expressions for key performance metrics of the GE-type QNM are employed, such as those for the platform's throughput, server (resource) utilisation, and the mean response time at each queueing station. Typical numerical experiments define at each queueing station of the open QNM optimistic exponential (M-type) and pessimistic GE-type performance bounds over those generated by the family of Hyperexponential-2 (H2) distributions with the same M-type and GE-type first two moments of the external interarrival and service times, as appropriate. Evaluation of the adopted performance metrics of the QNM and consequent prediction of network bottlenecks may provide vital insights into the effective capacity planning of computer networks with OpenStack IaaS solutions for CCPs and the effective provisioning and placement of VMs.


Kabiru Maiyama received a BSc degree in Computer Science from The Usmanu Danfodiyo University, Sokoto-Nigeria (2005) and an MSc degree in Distributed Computing Systems from University of Greenwich, London-UK (2007). He is also a lecturer of computer science at the Department of Computer Science, Usmanu Danfodiyo University, Sokoto-Nigeria since 2008. He is currently working towards a Ph.D. degree at the University of Bradford, United Kingdom. His research interest focus on performance analysis of cloud computing platforms.

Fault Tolerance and Failure prediction in a Cloud Computing Environment Bashir Mohammed, PhD student, 11 April 2018

Date: 11 April 2018 Time: 13:00
Location: Horton D0.26
Speaker: Bashir Mohammed, PhD student

Failure is an increasingly important issue in high-performance computing and cloud systems. As large-scale systems continue to grow in scale and complexity, mitigating the impact of failure and providing accurate predictions with sufficient lead time remains a challenging research problem. Traditional existing fault-tolerance strategies such as regular check-pointing and replication are not adequate because of the emerging complexities of high-performance computing systems. This necessitates the importance of having an effective and a proactive failure management approach in place aimed at minimizing the effect of a failure within the system. With the advent of machine learning techniques, the ability to learn from past information to predict the future pattern of behaviours makes it possible to predict potential system failure more accurately.
The first part of this talk will look at our robust and reliable fault tolerance approach in comparison to existing approaches, using optimal check-point strategy to ensure high system availability and reduced task service finish time.
The second part will discuss our findings and explore the predictive abilities of machine learning on our developed model.

Bashir obtained a B.Eng. in Electrical & Computer Engineering from The Federal University of Technology Minna Nigeria, and an MSc in Control Systems from the University of Sheffield UK. He did an internship with Rolls-Royce in Derby, UK.
He is presently pursuing a Ph.D. in Computer Science. His research interest includes High Availability in the cloud, Fault Tolerance, Failure prediction, Performance and security issues in the cloud, Cloud platform implementation and Machine learning.

Modelling and Optimization: species-conserving genetic algorithm and applications Jian-Ping Li and Mudhar Al-Obaidi, 04 April 2018

Date: 04 April 2018 Time: 13:00
Location: Chesham B4.02
Speaker: Jian-Ping Li and Mudhar Al-Obaidi

Genetic optimization is a population-based optimization approach and capable of finding global solution of complex optimization problems. However, a classical genetic algorithm can potentially be tracked a local solution. Species-conserving genetic algorithm (SCGA) is developed to search multiple global solutions of optimization problems. In this seminar, we are going to

(1) introduce a series of species optimization, such as species conserving genetic algorithm (SCGA), adaptive SCGA, species-conserving particle swarm optimization (SCPSO) . some examples will be used to demonstrate the efficiency of species optimization,

(2) introduce Modelling and Optimization System (MoS) (

(3) demonstrate some applications of algorithms in engineering, especially in chemical process optimization.

The aim of this semester is to provide a opportunity for collaboration in optimization and applications.

Internet of Things (IoT): Architectural Components, Applications and Security Challenges Yusuf Tukur, PhD student, 21 March 2018

Date: 21 March 2018 Time: 13:00
Location: Horton D0.26
Speaker: Yusuf Tukur, PhD student


Since the second industrial revolution aka the technological revolution that has given rise to modern technology, advances in the field of electrical engineering and computing have been growing at an incredibly explosive rate. That has culminated to today’s growing automation and resultant data exchange in manufacturing technologies comprising Cyber-Physical Systems (CPS), the Internet of Things (IoT) and Cloud Computing. This is often described as Industry 4.0 or more commonly the fourth industrial revolution and births what has been called a “smart factory”.

The smart ability of these technologies coupled with the developments in the application of artificial intelligence contributes somewhat to the unprecedented embracing of especially the Internet of Things (IoT) which describes a growing industry of new and old technology being harnessed to the Internet in ways that will improve the lives of every person on this planet.

The IoT has got wide range of applications, including agriculture and mining for example, where farmers can put sensors on their crops that tell them the time to water, quantity of water needed, and the harvest time.

This short talk will present a brief overview of the IoT, looking at its concepts, architecture and components including sensors, the available connectivity solutions, platforms, the data and its analytics as well as security challenges. The talk will also highlight areas of collaboration between IoT and other disciplines.


Yusuf Muhammad Tukur is a first year PhD student from Nigeria, researching on IoT and Data security. His research interests include IoT, Cybersecurity, CPS, data analytics and health informatics.

He also works on an EC-Funded Project SCORE - Smart Cities and Open data REuse.

Towards smarter cities: empowering citizens, engaging communities Dr. Suvodeep Mazumdar, Sheffield Hallam University, 14 March 2018

Date: 14 March 2018 Time: 13:00
Location: Horton D0.26
Speaker: Dr. Suvodeep Mazumdar, Sheffield Hallam University

The essence of a city is its citizens and communities. A city’s infrastructure and associated services play a vital role in citizens' day to day living and their overall quality of life. Gathering data in a traditional approach, i.e. using precise physical sensors, is a highly expensive task, involving procurement, installation and maintenance of a number of sensors. The wide adoption and availability of smartphones, Internet-enabled devices, IOT sensors and increased accessibility to information has paved the way for large numbers of citizens and communities to contribute toward decision-making. In this spirit, crowdsourcing information from citizens and communities is a growing topic of interest, where authorities, decision makers enlist the help of citizens in solving complex societal, environmental and technological challenges in a collaborative manner. This talk will discuss findings from several projects over the past few years exploring a variety of engagement mechanisms and crowdsourcing technologies. It will also discuss some of the key findings from these projects and will provide an overview of the variety of crowdsourcing mechanisms and how such data can be consumed.

Dr. Suvodeep Mazumdar researches Big Data Analytics, conducting inter-disciplinary research on highly engaging, interactive, and visual mechanisms in conjunction with querying techniques for the navigation, exploration and understanding of complex datasets. He employs iterative user centered design techniques to implement and evaluate interactive user interfaces and has an extensive experience collaborating and co-designing solutions with various user communities. He has worked within a variety of application domains such as Aerospace Engineering, Emergency Response, Sports Informatics and Metropolitan mobility. Dr. Mazumdar was PI on Crowd4Sat and BD4M (European Space Agency projects investigating Big Data and crowdsourcing)and has extensive experience coordinating technical activities in large European projects.

Concept Drift Analysis for Improving Anomaly Detection in Sensor Data Streams Ahmad Idris Tambuwal, PhD student , 28 February 2018

Date: 28 February 2018 Time: 13:00
Location: Horton D0.01
Speaker: Ahmad Idris Tambuwal, PhD student

Abstract: Today, the growing number of sensors, telemetry devices, and other online data collection tools from various areas (such as automotive industries, telecommunications, social networks, emails, weblogs, customer clickstream, and the Internet of Things) have resulted to the large amount of stream data that show Big Data attributes. Anomaly detection from such data has become a growing area of research and serves as a complex process in the field of data analytics. Despite the existence of different anomaly detection techniques in literature, they suffered from a high rate of false positive (false alarms) when dealing with streaming sensor data that comes from the non-stationary environment. These environments are full of real-world normal changes in concept (also called concept drift) that can be wrongly detected as anomalies by current anomaly detection techniques. As such, a research challenge appears: “How to combine concept drift detection and anomaly detection with the aim of developing a real-time anomaly detection system that will reduce the rate of false-positive results?” This presentation will introduce concept drift and discuss different drift detection methods, in particular, ensemble classifiers and their experimental comparison using multiple data sets. Similarly, an introductory discussion will follow on how concept drift detection can be used for improving anomaly detection in sensor data streams.

B.Sc in computer science at Usmanu Danfodiyo University, Sokoto, Nigeria
M.Sc in Cloud Computing at University of Aberdeen, Aberdeen, Scotland, UK
And now a PTDF scholar funded by Nigerian Government to study Ph.D. under artificial intelligent research group of computer science department. Research interest: Applying concept drift detection for improving anomaly detection in sensor data streams, focusing on the used of ensemble models for real-time anomaly detection.

Introduction to Machine Learning and Hybrid Intelligent Systems Denis Torgunov, PhD Student, Advanced Automotive Analytics Research Institute, Faculty of Engineering and Informatics, University of Bradford, 21 February 2018

Date: 21 February 2018 Time: 13:00
Location: Horton D0.26
Speaker: Denis Torgunov, PhD Student, Advanced Automotive Analytics Research Institute, Faculty of Engineering and Informatics, University of Bradford

In recent years, Machine Learning has become a prominent tool for data analysis and classification. This talk will aim to introduce the audience to basic concepts behind Machine Learning, and discuss a variety of common algorithms, showcasing their application to multiple data sets. The algorithms covered will include decision trees and support vector machines, as well as artificial neural networks.
An introductory discussion of hybrid intelligent systems, in particular multi-classifier systems, will follow, to show how multiple classifiers can be used together to boost accuracy.

Denis Torgunov (BSc Hons Intelligent Systems and Robotics) is a PhD student with the Advanced Automotive Analytics Research Institute at the University of Bradford. His research focuses on applying machine learning techniques to automotive reliability prediction, focusing on the use of Hybrid Intelligence Systems and Data Integration.

Towards a Data Quality Framework for Engineering Data Natasha Micic, PhD Student, Advanced Automotive Analytics Research Institute, Faculty of Engineering and Informatics, University of Bradford, 14 February 2018

Date: 14 February 2018 Time: 13:00
Location: Horton D0.26
Speaker: Natasha Micic, PhD Student, Advanced Automotive Analytics Research Institute, Faculty of Engineering and Informatics, University of Bradford

Every industry has significant data output as a product of their working process, and with the recent advent of big data mining and integrated data warehousing it is the case for a robust methodology for assessing the quality for sustainable and consistent processing. In this paper a review is conducted on Data Quality (DQ) in multiple domains in order to propose connections between their methodologies. This critical review suggests that within the process of DQ assessment of heterogeneous data sets, not often are they treated as separate types of data in need of an alternate data quality assessment framework. We discuss the need for such a directed DQ framework and the opportunities that are foreseen in this research area and propose to address it through degrees of heterogeneity.

Natasha Micic has a BSc (Hons) Computational Mathematics from The University of Bradford, and is now a PhD student in Computer Science studying Data Quality Analytics in the AAA (Advanced Automotive Analytics) Research Institute at The University of Bradford.

A Model-Based Engineering Approach on Cyber-Physical Systems Dr Manuela L. Bujorianu, University of Strathclyde, 07 February 2018

Date: 07 February 2018 Time: 13:00
Location: Horton D, Room D0.26
Speaker: Dr Manuela L. Bujorianu, University of Strathclyde


Cyber-physical systems represent an evolving paradigm promoting a holistic view on engineered systems. The holistic view makes the formal verification look like a restrictive or specialised approach. In this way, a research challenge appears: How to leverage formal verification to cope with the holistic character of cyber-physical systems?
The holistic aspects include: emergent behaviours, complex faults (like hybrid discrete continuous), severe uncertainty, rich interactions, interdependence of critical components, potential disasters due to climate change.
In this talk, we will discuss about hyper-verification of cyber-physical systems and sketch the fundamentals of a suitable formal framework to investigate it.

Professional CV:

Manuela L Bujorianu (PhD in computer science, BSc in Mathematics) is a Research Fellow with Maritime Safety Research Centre, Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde. Before she was affiliated with several universities: Leicester, Warwick, Manchester, Twente, Cambridge and Stirling.
Manuela’s research is at the border between computer science, applied mathematics, and systems engineering bridged by probability theory and statistics. The major focus is on modelling and analysis of complex systems. The considered application areas are: cyber-physical systems (maritime safety, air traffic management, intelligent transportation systems), complex systems (financial /social systems, swarms, complex networks), probabilistic risk assessment, resilience of critical infrastructures. A unique feature of Manuela publication record is that she published at the top conferences and journals in control engineering, computer science, and mathematics. She has single authored a monograph at Springer Verlag.

Finite Quantum Systems and Zeros of Analytic Functions Dr Ci Lei, 24 January 2018

Date: 24 January 2018 Time: 13:00
Location: Horton D0.01
Speaker: Dr Ci Lei

Abstract: Finite quantum systems have shown promising application prospects in areas such as quantum computing and quantum cryptography. In this talk, we build a connection between finite quantum systems with positions and momenta in Z(d) and the d zeros of analytic functions on a torus. As quantum systems evolve in time, the zeros follow d paths, on a torus.  We introduce a semi-analytic method for the calculation of these paths of the zeros. Using the method, several numerical examples and interesting properties of these paths for periodic systems are presented.

Digital Mentors: Using Data Analytics to Provide Personalised Adaptive Nudges for Self-Regulated Learning Dr. Vania Dimitrova (University of Leeds), School of Computing and Leeds Institute of Medical Education, 29 November 2017

Date: 29 November 2017 Time: 13:00
Location: Horton D0.26
Speaker: Dr. Vania Dimitrova (University of Leeds), School of Computing and Leeds Institute of Medical Education

Mentoring is crucial for professional development and lifelong learning. It is seen as a highly effective method to support the development of transferable skills, to increase motivation and confidence, and to develop self-regulation and self-determination. However, mentoring does not scale and can be costly. While ‘everyone needs a mentor’ not everyone can have a mentor. This talk will argue that the time is ripe for the emergence of a new breed of intelligent learning systems that provide mentor-like features, i.e. digital mentors. They would require multi-faceted learner sensing mechanisms to get sufficient understanding of the learner’s engagement and motivation by analysing the various digital traces left by the learner or by other learners. Furthermore, digital mentors will embed strategies for promoting reflection and self-awareness through personalised adaptive nudges. I will illustrate this vision with the Active Video Watching project which develops interactive means for engaging with videos for transferable skills learning. Engagement analytics are developed to characterise user behaviour and inform the design of interactive nudges for turning passive video watching into constructive learning with videos. This work is international collaboration between the University of Leeds, University of Canterbury (New Zealand) and University of Adelaide (Australia).

Advancing IoT - Bradford Council's promotion of a smarter digital city Sydney Simpson and Yunus Mayat (City of Bradford Metropolitan District Council), City of Bradford Metropolitan District Council, 22 November 2017

Date: 22 November 2017 Time: 13:00
Location: Horton D0.26
Speaker: Sydney Simpson and Yunus Mayat (City of Bradford Metropolitan District Council), City of Bradford Metropolitan District Council


The City of Bradford Metropolitan District Council recognises the value of digital technologies both in the provision of public services and for businesses, communities and people across the District.
Pressure on public sector finances however creates challenges in adopting and promoting these technologies.
Through collaboration with multiple stakeholders and utilising a variety of funding opportunities the Council is increasingly investing in a digital infrastructure. Facilitating ‘The Things Network’ gateways and the use of IoT sensors to monitor flood risk is a modest but valuable example of Bradford’s smart city capacity.

Getting your Academic Research Published Prof. Hassan Ugail, 22 November 2017

Date: 22 November 2017 Time: 12:00
Location: Chesham Building C4.02
Speaker: Prof. Hassan Ugail

In this interactive seminar, Professor Hassan Ugail, the Director of the Centre for Visual Computing at University of Bradford, will give you an insight into the world of academic publishing. He will explain you how to avoid the many pitfalls people often fall into when trying to get research published. In this session, he will also provide you with tips on how to write clearly to maximise the chances of getting your work accepted for publication. The session will be highly interactive with plenty of opportunity for discussion and exchange thoughts. If you are working on an academic paper at present you may wish to bring it along to discuss it and get feedback.

Agile Methods in Software Engineering Professor Marian Gheorghe, Dr Savas Konur, Professor Daniel Neagu, Computer Science, Faculty of Engineering and Informatics, 15 November 2017

Date: 15 November 2017 Time: 18:00
Location: Horton D0.23
Speaker: Professor Marian Gheorghe, Dr Savas Konur, Professor Daniel Neagu, Computer Science, Faculty of Engineering and Informatics

Organiser: Institute of Engineering and Technology (IET)

6:00pm Refreshments,
6:30pm Talks
Professor Marian Gheorghe: Agile Methodologies in Software Engineering
Dr. Savas Konur: Agile Verification
Professor Daniel Neagu: Agility in Data Mining

About this event: Agile methods emerged at the end of the last millennium as a reaction to have weight, inefficient traditional software engineering methods failing to deliver in time and within budget promised software solutions. Although enough, especially small and medium size software companies and some departments of the software giants, have embraced these methodologies, they are not systematically studied in academia and the success of applying them is not always guaranteed. The speakers will present the achievements obtained so far by applying these methods, but will critically assess the limitations and suggest some remedies. The state-of-the-art research will be assessed and the applicability of such methods to various projects, including student-led projects developed in real-life environments developed by some of the speakers, and applications in biology and engineering.

Additional information: Contact Prof Rami Qahwaji, Email:

Registration information: Please register online at IET's website

Formal Modelling of Cruise Control Using Event-B and Rodin Dr. Sorina-Nicoleta PREDUT, University of Bucharest, Romania, 09 November 2017

Date: 09 November 2017 Time: 13:00
Location: Horton D0.02
Speaker: Dr. Sorina-Nicoleta PREDUT, University of Bucharest, Romania

The present talk outlines design and verification using Event-B and Rodin platform for a cruise control system of an e-Bike case study. Formal modelling is essential for understanding and reasoning when designing complex systems. Our work uses the Event-B method, a formal approach for reliable systems specification and verification, being supported by the Rodin platform, based on theorem proving. We also use the ProB model checker for the verification of the B-Machine and iUML plug-in for Rodin to visualize our model.

Sorina-Nicoleta PREDUȚ is a Teaching Assistant in the Department of Computer Science, University of Bucharest, Romania and a postdoc researcher in the Exploratory Research Project “Modelling and Analysis of Cyber-Physical Systems” working under the supervision of Professor Florentin Ipate. She graduated from University of Bucharest and obtained a PhD in Mathematics in 2013 from the Faculty of Mathematics and Computer Science, University of Bucharest. She obtained a Master's degree in Mathematics in 2010 from the Faculty of Mathematics and Computer Science, University of Bucharest, followed by a second Master's degree in Computer Science in 2010 from the same Faculty. Her main research interest is Formal specification methodologies including model based testing.

A Test Suite Generation Approach based on EFSMs using a Multi-objective Genetic Algorithm Ana Turlea, University of Bucharest, Bucharest, Romania, 09 November 2017

Date: 09 November 2017 Time: 13:00
Location: Horton D0.02
Speaker: Ana Turlea, University of Bucharest, Bucharest, Romania

Using extended finite state machines for test data generation can be a difficult process because we need to generate paths that are feasible and we also need to find input data that traverse a given path. In this talk I will present a test suite generation algorithm for extended finite state machines. The algorithm produces a set of feasible transition paths that cover all transitions using a modified multi-objective genetic algorithm (deleting redundant paths and shortening the solutions). The multi-objective problem aims to optimize the transitions coverage and the path feasibility, based on data flow dependencies. Having a set of paths resulted from this algorithm, we can easily find input parameters for each path.

Ana Țurlea is a Teaching Assistant at the Faculty of Mathematics and Computer Science, University of Bucharest, Bucharest, Romania, currently in the third year of PhD study in Software Testing under the supervision of Professor Florentin Ipate at the same university. Her main research area is model based software testing using evolutionary algorithms. She obtained a Bachelor of Science (BSc.) Degree (Computer Science Department) in 2013 and a Masters of Science (MSc.) Degree in Software Engineering in 2015 at the Faculty of Mathematics and Computer Science, University of Bucharest.

Smart sustainable cities: panacea or utopia? Dr PB Anand, University of Bradford, Faculty of Social Sciences, 08 November 2017

Date: 08 November 2017 Time: 13:00
Location: Horton D0.26
Speaker: Dr PB Anand, University of Bradford, Faculty of Social Sciences


Smart cities are everywhere, perhaps, even in your hand, in the form of your smart phone (and the data it is leaking). Who wants to live in a city that is not smart anyway? In this talk, I want to share with you some findings from our research into inclusive, smart and sustainable cities under a three-year British Academy research grant supported project and further fieldwork I have recently done in Ghana, India, Indonesia and elsewhere too. I present a critique of the existing approaches and frameworks and offer some examples of how smart cities thinking can be done differently and (hopefully) better with alternative perspectives.


Dr Anand is a specialist in environmental economics and public policy with a focus on the interface of urban economy, environment and sustainability.

Dr Anand has held various leadership positions including as the Head of Centre for International Development at Bradford (2010-2015). Currently he is the PI of a three year British Academy funded project on 'infrastructure governance for inclusive, smart and sustainable cities' (jointly with Prof Rajan of IIT Madras, India). He was the team leader and principal author of the Mongolia National Human Development Report 2011 titled 'From vulnerability to sustainability' for UNDP.

Previously, he had co-organised and led two international workshops at Cambridge (2006 and 2009) and a major international conference at Bradford (2011). He serves as elected member of the Senate (2007-2010 and 2013-15) and elected member of senate on the University Council (2015).

Crime Intelligence Research: My PhD Experience Haruna Isah, 25 October 2017

Date: 25 October 2017 Time: 13:00
Location: Horton D0.26
Speaker: Haruna Isah

With the advancement of the Internet and related technologies, many traditional crimes have made the leap to digital environments. The issue of limited resources is constantly putting pressure on law enforcement agencies in fighting crime, the use of analytics to both respond to and ward off crime is now more critical than ever. Our study over the last four years focused on cyber-enabled crimes (such as fraud, illegal/prescription drugs or firearms trade in online marketplaces or the dark Web) which can be carried out at an unprecedented scale and speed.

The overall goal of our work is to discover/anticipate risk, segment/detect criminal behaviour and intent, measure the effect of poor quality social data in analytics/search, and finally to push towards the development of social data quality filters and standards.

In this talk, the motivation of my recently concluded PhD research will be discussed first, this will be followed by an overview of the methods, results, and contributions of my thesis, and finally, I will share my PhD story in order to inspire and spur current and prospective students.


Haruna Isah has just rounded up his PhD in the Artificial Intelligence Research Group of the University of Bradford under the supervision of Professor Daniel Neagu and Dr Paul Trundle. He obtained a Masters of Science (MSc.) Degree in Software Engineering from the then School of Computing Informatics and Media (SCIM) University of Bradford in 2012 and a Bachelor of Engineering (B. Eng.) Degree from the Department of Electrical and Electronics Engineering, University of Maiduguri in 2008. Haruna is also a recipient of NITDEF MSc. Scholarship Award, Commonwealth PhD Scholarship Award, and WAW2015 School on Complex Networks and Graph Models travel award. He has made several research presentations and also attended several major research trainings including International Winter School on Big Data in Tarragona Spain, Machine Learning: A Computational Intelligence Approach (MLCI-2015) in Genova Italy, WAW2015 School on Complex Networks and Graph Models in Eindhoven in The Netherlands, and Development Module Road Map for Commonwealth PhD Scholars at Cumberland Lodge, Windsor. Haruna has already secured a post-doctoral research fellow position with Big Data Analytics and Management (BAM) Laboratory in the School of Computing, Queen's University.

PGR Publication Prize Faculty PGR Event, 17 July 2017

Date: 17 July 2017 Time: 10:00
Location: Faculty of Engineering and Informatics
Speaker: Faculty PGR Event

In order to improve the research culture and support REF 2021 in our faculty, the PGR committee has been approved to set up a PGR publication prize in 2017 to encourage our PGR students in writing high quality academic papers.

The total budget is £1000. The top 10 papers can win a prize of £100.

The director of RKT in schools will provide a list of journals for REF2021.

Further details are available in this PDF document.

Microservice plumbing Glynn Bird, Developer Advocate @ IBM Cloudant, IBM UK, 01 June 2017

Date: 01 June 2017 Time: 17:30
Location: DHEZ Ltd, The Digital Exchange, Bradford, BD1 5BD
Speaker: Glynn Bird, Developer Advocate @ IBM Cloudant, IBM UK

This event is sponsored by BCS West Yorkshire, Bradford BCS Student Chapter, the University of Bradford Computer Science and (refreshments from 17:30, and the talk and discussions from 18:00). Please use this booking link below to confirm your attendance:


"Microservices" is a word that means lots of things to lots of people. Building systems as a collection of microservices instead of large monolith can can make your IT systems more maintainable and scalable. We'll explore ways in which microservices can communicate and how work and configuration can flow through the system. We'll also look at the latest microservice buzzword: "serverless" computing.

Technologies addressed: RabbitMQ, Cloudant, Apache Kafka, Redis, OpenWhisk


Glynn started in research and development, creating sensors and control systems for the steel industry. He became a web developer for a business directory service, creating search technology, CRM systems and automated telephony. He is now a Developer Advocate for IBM's Watson Data Platform.

Twitter: @glynn_bird
Web: and

CODIO: demonstrating improvements for programming and Computer Science courses. Freddy May, Founder and CPO of Codio, 24 May 2017

Date: 24 May 2017 Time: 13:30
Location: Horton D0.26 (TBC)
Speaker: Freddy May, Founder and CPO of Codio

An online solution to authoring student code tests of any complexity and IDE based tutorial content. Case studies from The University of Sheffield and Columbia University

The presentation will speak to recent case studies by Wright State University, Sheffield University, and Columbia University and demonstrate their improvements to current teaching methods for programming and computer science courses for both CS and non-CS majors. It will show how CS lecturers can author and publish a rich library of tutorial content (including re-purposing existing lecture materials) as well as both simple and highly complex auto-graded code tests. Everything is done with just a browser and without the need for any in-house infrastructure.

You will see how students are able to write everything from simple functions right up to highly complex projects using databases and any other components that might be required. This code can be tested and displayed to lecturers and assistants who can monitor their progress. We will be demonstrating seamless integration with all major LMS platforms, and how course leaders can significantly reduce wasted administration time and system administration overheads, as well as enhance the overall student experience.

As Codio's founder, Freddy believes it's possible to create a teaching and learning experience for students that reflects both a professional grade IDE and an experience that inspires learning and creativity.

The 1st Annual Innovative Engineering Research Conference (AIERC) Faculty PGR Event, 15 May 2017

Date: 15 May 2017 Time: 12:00
Location: Faculty of Engineering and Informatics
Speaker: Faculty PGR Event

The Faculty of Engineering and Informatics invites all the Postgraduate Research Students to participate to its 1st annual Innovative Postgraduate Research Conference at Bradford University on 17th July 2017.

The conference will draw together research students and their academic supervisors from different disciplines in the presence of the industry across all fields of Engineering and Informatics. The conference also accepts student's abstracts from other Faculties jointly supervised by academic staff from Faculty of Engineering and Informatics.

The postgraduate students at all levels of their research work are initially encouraged to submit their work in terms of abstracts for review and assessment by a Technical Committee members appointed across the schools.

The expected final technical programme includes papers presentations and poster sessions, will be addressed by the committee decision. All accepted papers will be published on the conference proceeding for internally use and the summarized abstracts will only be published on the Faculty web page.

  • Paper submission: 15/05/2017
  • Decision Notification: 15/06/2017
  • Final Submission: 1/7/2017
  • Conference: 17/07/2017

All the papers must be submitted through the easychair system ( To help ensure formatting, please use the IEEE conference paper template

More information is available in this PDF document.

Publishing with IEEE Faculty PGR Event, 09 May 2017

Date: 09 May 2017 Time: 10:00
Location: B1.31, Chesham Building
Speaker: Faculty PGR Event

Are you thinking of publishing your research? New/relatively new to publishing your work? Not sure where best to submit your manuscript?

The IEEE, in partnership with the University of Bradford's Faculty of Engineering and Informatics, is hosting a 'Publishing with IEEE' Workshop at the University on Tuesday 9th May 2017.

IEEE is the world's largest professional association for the advancement of technology and publishes a third of the world's technical literature in electrical engineering, electronics and computer science.

This practical workshop, aimed at new and early career researchers and postgrads in engineering, computing, medical and technology related areas, will provide an overview of publishing with the IEEE.

Both the IEEE and the University of Bradford would be delighted if you could join us for this practical workshop.

Please register your attendance at the following page, (the tickets are limited).

The BCS 2017 Lovelace Lecture: Machines that learn to see Professor Andrew Blake, BCS - The Chartered Institute for IT, 08 May 2017

Date: 08 May 2017 Time: 17:45
Location: DHEZ Ltd, The Digital Exchange, Bradford, BD1 5BD
Speaker: Professor Andrew Blake, BCS - The Chartered Institute for IT

Event details:
The 2017 Lovelace Lecture-‘Machines that learn to see’ is being delivered in London by Professor Andrew Blake. BCS West Yorkshire and the University of Bradford are pleased to show this live streamed event and you are invited to join us.

Machine vision works nowadays. Machines can: navigate using vision; separate object from background; recognise a wide variety of objects, and track their motion. One general question about intelligent systems is whether they will be dominated by “generative” models which explain data as a sequence of transformations, or by black-box machines that are trained on data at ever greater scale?

It is also fascinating to speculate what other new paradigms in learning might transform the speed at which artificial perception can develop.

Professor Andrew Blake is an engineer whose innovative work on image analysis has helped make it possible for computers to react to the world around them, based on the visual data they receive. His research has focused particularly on the accurate tracking of motion and the reconstruction of visible surfaces.

5:45pm - Arrive, Registration, Refreshments
6:20pm - Introduction
6:30pm - 8:30pm - Lecture (streamed live from London)

Booking Link: with more information

Cost: Free to both BCS and Non-BCS Members

A Heuristic Feature Based Quantification Framework for Efficient Malware Detection -- Measuring the Malicious intent of a file using anomaly probabilistic scoring and evidence combinational theory wit Anitta Patience Namanya, 29 March 2017

Date: 29 March 2017 Time: 13:00
Location: Horton D0.26
Speaker: Anitta Patience Namanya


Malware is still one of the most prominent vectors through which computer networks and systems are compromised. A compromised computer system or network provides data and or processing resources to the world of cyber-crime. With cyber-crime projected to cost the world $6 trillion by 2021, malware is expected to continue being a growing challenge. Statistics around malware growth over the last decade support this theory as malware numbers enjoy almost an exponential increase over the period. This work proposes advancing automation of the malware static analysis and detection to improve the decision making confidence levels of a standard computer user in regards to a file’s malicious status. We introduce a framework that relies on two novel approaches to score the malicious intent of a file. The designed approaches are validated using a dataset of “clean” and “malicious” files. The results obtained show that the framework achieves true positive – false positive detection rate “trade-offs” for efficient malware detection.

Health and Social Care — Challenges and Opportunities Andy McGelligot (Bradford District Care NHS Foundation Trust), Ian Sharp (Digital Health Enterprise Zone), Professor Rami Qahwaji, Professor Daniel Neagu (University of Bradford), Bernard Lanigan & Yunus Mayat (Bradford Council), 23 March 2017

Date: 23 March 2017 Time: 18:00
Location: Bradford Digital Exchange Enterprise Zone
Speaker: Andy McGelligot (Bradford District Care NHS Foundation Trust), Ian Sharp (Digital Health Enterprise Zone), Professor Rami Qahwaji, Professor Daniel Neagu (University of Bradford), Bernard Lanigan & Yunus Mayat (Bradford Council)

This event will introduce the social challenges faced by the care system and the academic research areas that could help to change the way that social care is delivered in the UK. With a backdrop of shrinking budgets, increased demand due to an ageing population and a shortage of skilled carers it is estimated that the UK will need an additional 1million carers by 2025. Find out how service modernisation, redesign and technology assistance could help to improve the lives of those needing care. This event will provide practical information about the experimental networks in Bradford and how we are working together in partnership to make Bradford one of the leading Health and Social Care cities in the world.

Who should attend? Professionals, researchers/students, businesses & general public interested in medical/social care issues. There will be an opportunity to discuss ideas, projects and areas of interest with the speakers after the event.

18:00 - Refreshments
18:30 - Lecture

Continuing Professional Development: this event can contribute towards your Continuing Professional Development (CPD) as part of the IET's CPD monitoring scheme.

This is a research event organised jointly by the UK - Yorkshire IET local network and the University of Bradford.

Medical Imaging for Eye Disease Diagnostic Rania Alzubaidi, 15 March 2017

Date: 15 March 2017 Time: 13:00
Location: Horton D0.26
Speaker: Rania Alzubaidi


The presentation aims to demonstrate our recent work on the development of medical imaging technologies identifying the visual signature of Acanthamoeba disease in a sequence of confocal corneal microscopy images and extracting the main biomarkers for the disease. This system is a diagnostic system which aims to help ophthalmologists clinically and assess the patient's response to treatment. Data and clinical expertise for this work are provided by the NHS Manchester Eye Hospital.


Rania AlZubaidi, is a PhD student at University of Bradford, and she belongs to the medical imaging research group at the university of Bradford. She earned her MSc in 2007 and BSc in 2004, and both of them in computer science from Jordan University of Science and Technology (JUST). She has worked as full-time lecturer at Philadelphia University in Jordan for four years teaching computer science modules (for example, algorithms and data structures in C++, introduction to Web Programming using PHP, and computer Skills in using Microsoft Office and Internet). Before that, she has worked as a computer teacher at high school in Jordan for three years. Rania also worked as a technical assistant and Arabic teacher for foreign at Middlebury College in USA in summer of 2006, 2007, 2008, and 2011. She became Zend certified engineer in PHP 5.3 in 2012. She has passed learning and teaching in Higher Education (GTAs & P/T Tutors) module. She has attended many conferences, workshops, and seminars related to her work. Her research interests include data mining, information retrieval, text classification and clustering, and recently her focus on medical image processing.
Rania has published a review study summarising the diagnosis of most common corneal diseases by presenting their biomarkers (visual signatures). She started her research with the infectious keratitis and she developed an automatic diagnostic system for Acanthamoeba and Fusarium diseases at the request of corneal consultant of Manchester Eye Hospital. Her ultimate goal is to develop an automatic corneal diagnostic system that can handle most common corneal diseases.
She can be contacted at:


Alzubaidi, R., M. S. Sharif, R. Qahwaji, S. Ipson & A. Brahma (2015) In vivo confocal microscopic corneal images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: a review study. British Journal of Ophthalmology.
Sharif, M. S., R. Qahwaji, E. Shahamatnia, R. Alzubaidi, S. Ipson & A. Brahma (2015) An efficient intelligent analysis system for confocal corneal endothelium images. Computer methods and programs in biomedicine, 122, 421-436.
Sharif, M. S., R. Qahwaji, S. Hayajneh, S. Ipson, R. Alzubaidi & A. Brahma. 2014. An efficient system for preprocessing confocal corneal images for subsequent analysis. In Computational Intelligence (UKCI), 2014 14th UK Workshop on, 1-8.
Duwairi, R. M. & R. Al-Zubaidi (2011) A hierarchical K-NN classifier for textual data. Int. Arab J. Inf. Technol., 8, 251-259.

A Refinement Method to Improve Ontology Quality based on a Comparison of Concept Hierarchies Takeshi Masuda, Osaka University, Electrical, Electronic and Information Engineering, 08 March 2017

Date: 08 March 2017 Time: 13:00
Location: Horton D0.02
Speaker: Takeshi Masuda, Osaka University, Electrical, Electronic and Information Engineering


Ontologies are currently constructed in various fields, such as life sciences, medical information, and sustainability science. These ontologies are used as knowledge bases and knowledge models for application systems. However, it is difficult to build high quality ontologies due to the necessity of having both knowledge of ontology and expertise in the target domain. Therefore, ontology construction and maintenance costs considerable time and effort. To reduce such costs, we developed an ontology refinement support method. To test and confirm this refinement method, we focused on the guideline for building well-organized ontologies that“ Each subclass of a super class is distinguished by the values of exactly one attribute of the super class. ”Then, we discovered that there is a similarity
between is-a hierarchies when an ontology is built following this guideline and made the hypothesis that, if subclasses are not classified by one attribute, there are consistency errors in the ontology that can be automatically fixed by a comparison method of is-a hierarchies.


Takeshi Masuda is a PhD student in the Graduate School of Engineering Osaka University. Division of Electrical, Electronic and Information Engineering. He has researched ontology refinement from 2009. He focuses on consistency of ontologies and develop the system that can find inconsistent part and propose refinement methods to system users.

5G / IoT - Enabling Smarter Cities Prof Raed Abd-Alhameed and team (University of Bradford), Caroline Gorski (IoT UK), Prof Rami Qahwaji (University of Bradford), Dr Dhaval Thakker (University of Bradford), Mark Harop (BT), Yunus Mayat (Bradford Council), 23 February 2017

Date: 23 February 2017 Time: 18:00
Location: Bradford - Digital Exchange Enterprise Zone
Speaker: Prof Raed Abd-Alhameed and team (University of Bradford), Caroline Gorski (IoT UK), Prof Rami Qahwaji (University of Bradford), Dr Dhaval Thakker (University of Bradford), Mark Harop (BT), Yunus Mayat (Bradford Council)

The 5G systems is the key for the development of future mobile and wireless networks, and thus different innovative research areas towards the next generation wireless systems are emerging. This event will talk about creating the networks for IoT, understanding 5G and applications that could run on 5G and how having devices feeding us real time data will change the way we use data and how it might affect our daily lives. Interesting recent national and regional developments will be presented at this event. This talk will also cover practical information about the experimental networks in Bradford and how we are working together in partnership to make Bradford one of the leading connected and smart cities in the world.
Who should attend? Businesses and professionals wanting to learn more about IoT and its potential and researchers/students who wish to find out more about IoT & 5G as research areas.
There will be an opportunity to discuss ideas, projects and areas of interest with the speakers after the event.
18:00 - Refreshments
18:30 - Lecture

This is a research event organised jointly by the UK - Yorkshire IET local network and the University of Bradford.

Mutually Unbiased bases and their application in quantum computing Tominiyi Olupitan, 22 February 2017

Date: 22 February 2017 Time: 13:00
Location: Horton D0.26
Speaker: Tominiyi Olupitan


Mutually unbiased bases have diverse applications in, cryptography, quantum key entanglement and numerous areas of quantum information science. It is a set of bases, for which the absolute value of the overlap of any two vectors in two different bases is 1/√d. The only known results are for quantum systems in prime dimensions ’d’, in which the number of complete sets is‘d+1’.

Mutually unbiased bases in higher dimensional systems (when‘d’ is no longer prime) has numerous applications in quantum information sciences. These applications include enhancing cryptographic securities, it corresponds to the optimal choice of measurements to be performed in order to obtain a full reconstruction of density. Systems in higher dimensional Hilbert space can store more information per carrier. Protocols using higher MUBs also result in higher generation rate of secure keys bit.

This motivates the research for a complete set of mutually in higher (non-prime dimensions.

Our work combines quantum physics and discrete mathematics. In our research we derive an alternate approach to mutually unbiased bases by studying a weaker concept which we call weak mutually unbiased bases. We then compare three different structures, (1) weak mutually unbiased bases; (2) their analytic representation in the complex plane based on Theta functions, and their zeros; (3) finite geometries in the Z(d) x Z(d) phase space and we establish a correspondence which is a triality.

In this talk, I will present an overview of research in quantum computing and the application of mutually unbiased bases. I will then proceed to present our contributions and results in this research area.


Tominiyi is a postgraduate researcher in the applied mathematics and quantum computing group in the electrical engineering and computer science group at the University of Bradford. She is also a recipient of the 2013 PhD studentship grant offered by the University. She is also a junior member of the Isaac Newton mathematical institute. She has attended several conferences which includes the White rose meeting in quantum information technology. Her research interest lies in theoretical research in quantum information science and its applications especially areas of finite quantum systems and analytic functions in quantum systems.

Operation and Planning of Distribution Networks with Integration of Renewable Distributed Generators Rana Zubo, 08 February 2017

Date: 08 February 2017 Time: 13:00
Location: Horton D0.26
Speaker: Rana Zubo


Distributed generators (DGs) have been proposed as a possible solution to supply economic and reliable electricity to customers. It has been adopted to overcome the challenges that are characterized by centralized generation such as transmission and distribution losses, high cost of fossil fuels, and environmental damage. It is necessary to allocate DGs optimally (size, placement and the type) to obtain commercial, technical, environmental and regulatory advantages of power systems. Firstly, this work presents the basic principles of integrating renewable DGs in low voltage distribution networks and particularly focuses on the planning of DG installations and the impact that DGs may have on active and reactive power. A detailed review of the important aspects of previous researches on DGs, the general information of the methods which are used in uncertainty modelling and the optimal methods that are used to solve the DGs planning problem are presented.
Secondly, a stochastic method is proposed to assess the amount of active and reactive power that can be injected/absorbed into/from the grid by wind turbines. The impact of wind power penetration on the social welfare and on active and reactive distribution-locational marginal prices within a distribution market environment is studied considering uncertainties associated with load demand and wind speed.


Rana Zubo was born in Iraq and received the B.Sc and M.Sc degrees in Electrical Engineering from The University of Technology, Baghdad, Iraq in 1998 and 2006, respectively. She has worked in Kirkuk Technical College, Iraq as a Lecturer from 1999 to 2015 and received a scholarship from the Iraqi government to do her PhD.
Currently, She is working towards her Ph.D in the School of Electrical Engineering and Computer Science under supervision of Dr. Geev Mokryani. Her current research includes operation and planning of distribution networks, electricity markets, uncertainty theory, and smart grids.

She has published two papers in the Elsevier journal of Renewable and Sustainable Energy Reviews, and IEEE International Conference on Control, Decision and Information Technologies (CoDIT'17).

Computational Intelligence Techniques for Design Optimisation of Microwave Devices Dr Bo Liu, Wrexham University, 01 February 2017

Date: 01 February 2017 Time: 13:00
Location: Horton D0.26
Speaker: Dr Bo Liu, Wrexham University


Design parameter optimisation is essential in many microwave design problems. The commonly used solution methods are: (1) using the “trial and error” method based on design experience, (2) using a local optimiser from a starting point derived by analytical models/equivalent circuits. Due to the discrepancy between designer’s intuition/simplified models and full wave electromagnetic (EM) simulations, these methods are facing significant challenges in design quality.

Evolutionary computation, which performs global optimisation, has been introduced to EM device design automation/optimisation since the last decade. While high quality designs without using any starting point have been obtained, its weakness is becoming clear: the intractable optimisation time when using computationally expensive full wave EM simulations. For example, a single EM simulation of an antenna may cost dozens of minutes to more than one hour, and standard evolutionary algorithms usually need several thousands of such simulations to obtain the optimum. An impractical optimisation time is therefore induced, although high quality designs can at last be obtained.

This presentation will introduce state-of-the-art efficient global optimisation-based microwave design automation/optimisation methods, with the advantages on optimisation quality, efficiency, generality and robustness. The following topics will be included: (1) simulation-driven design automation and a brief review of optimisation methods for microwave design; (2) evolutionary computation, machine learning and surrogate modelling; (3) surrogate model assisted evolutionary algorithm (SAEA): frameworks and model management methods; (4) efficient antenna, filter and mm-wave IC design automation methods based on novel SAEAs; (5) novel SAEA-based efficient antenna design optimisation methods using multi-fidelity simulation models. The targeted audiences are researchers focusing on microwave design and other electronic/semiconductor design using computationally expensive simulations as well as researchers focusing on computationally expensive optimisation.


Bo Liu received the B.S. degree from Tsinghua University, P. R. China, in 2008. He received his Ph.D. degree at the MICAS laboratories of the University of Leuven (KU Leuven), Belgium, in 2012. He was a Humboldt research fellow, working with the Technical University of Dortmund, Germany, till 2013, he took up a post as a lecturer at Glyndwr University, Wales, UK. He is currently a Reader in Computer-aided Design at the same university. His research interests lie in evolutionary computation, machine learning and design automation methodologies of electronic devices, circuits and systems. His book “Automated Design of Analog and High-frequency Circuits: A Computational Intelligence Approach” (Springer) is the first book which systematically introduces novel electronic design automation methods based on computational intelligence techniques. He was an invited speaker of IMEC, University of Southampton, Newcastle University, The University of Birmingham, etc on similar topics. URL:

Advances in MulSeMedia = Multiple Sensorial Media Dr. George Ghinea, Department of Computer Science, Brunel University, London, 20 January 2017

Date: 20 January 2017 Time: 13:00
Location: Horton D0.26
Speaker: Dr. George Ghinea, Department of Computer Science, Brunel University, London


Traditionally, multimedia applications have primarily engaged two of the human senses the audio and the visual out of the five possible. With recent advances in computational technology, it is now possible to talk of applications that engage the other three senses, as well: tactile, olfaction, and gustatory. This integration leads to a paradigm shift away from the old multimedia towards the new mulsemedia : multiple sensorial media. In his talk, Dr. Ghinea is going to focus on the issue of the perceptual experience of multimedia and how research in the area has opened new and sometimes challenging opportunities for mulsemedia applications.


Dr George Ghinea is a Reader in Computer Science at the School of Information Systems, Computing and Mathematics at Brunel University in the United Kingdom. His research activities lie at the confluence of Computer Science, Media and Psychology. In particular, his work focuses on the area of perceptual multimedia quality and the end-to-end communication systems incorporating user perceptual requirements. His area of expertise involves eye-tracking, telemedicine, multi-modal interaction, ubiquitous and mobile computing. He has authored over 250 publications and co-edited two books on Digital Multimedia Perception and Design, and Multiple Sensorial Media Advance and Applications. He consults regularly for both public and private institutions within his research area and is currently the lead Brunel investigator of NEWTON - Networked Labs for Training in Sciences and Technologies for Information and Communication, an H2020 project.