Bias in AI

Society

The #BiasinAI Group led by Professor Sue Black, based in the department of Computer Science at Durham University, brings together academia, industry and government experts from diverse backgrounds to carry out cutting edge research with the aim of producing practical advice and new methods to reduce bias in the creation and use of AI products and services.

Who we are

Professor Sue Black

Durham University

Professor in the Department of Computer Science

Biography

Professor Sue Black is a Technology Evangelist at Durham University, a digital skills expert, social entrepreneur, consultant and international keynote speaker with over 20 years experience. She has a computer science PhD, management and change management experience and is passionate about getting everyone excited about the opportunities that technology offers. She has also got over 20 years technology and digital skills teaching experience, along with successful social media campaigning and women and leadership expertise.

Research Groups

  • Innovative Computing

Research Interests

  • Women in tech
  • Twitter
  • Social media
  • Software engineering

Selected Publications

Journal Article

  • A Al-Subaihin, F Sarro, S Black, L Capra, M Harman (2018). App Store Effects on Software Engineering Practices. IEEE Transactions on Software Engineering 50 (8), 1

Conference Paper

  • AA Al-Subaihin, F Sarro, S Black, L Capra, M Harman, Y Jia, Y Zhang (2016). Clustering mobile apps based on mined textual features. Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

Sarah Wyer

Durham University

Researching

Identifying and mitigating against bias in large scale meta-learning language models from an intersectional perspective.

Personal web page

PhD in Computer Science

Sarah is a PhD student in the Department of Computer Science. Her thesis focuses on identifying and mitigating against bias in large scale meta-learning language models from an intersectional perspective.

Supervisors:

Prof Sue Black

Prof Nicola Whitton

Research Interests

  • Bias in Artificial Intelligence
  • Large scale meta-learning language models
  • Widening Participation in HE
  • AI Ethics
  • Women in STEM
  • Equality Diversity and Inclusion

Research Groups

Bias in AI Research Group – Durham University 

Innovative Computing Group – Durham University

Teaching Fellow in Computer Science (Foundation Programme)

Sarah teaches computer science on the Foundation Programme. She is the module convenor for Foundation Computer Science, and also teaches English for Scientists with Project.

Additional Activities

PGR Rep

Durham University Women in Tech (DUWIT) Mentor Co-ordinator

Global Ambassador Women in Tech Network

 

Dr Chris Willcocks

Durham University
Assistant Professor in the Department of Computer Science
Room number: E111a

(email at christopher.g.willcocks@durham.ac.uk)

Biography

Chris Willcocks is an Assistant Professor in the Innovative Computing Group at the Department of Computer Science at Durham University. He is also a director and CTO of the Durham University research spinout company Intogral Limited. He has worked as a PDRA for Newcastle University, Durham University, and has been a visiting researcher at the Hong Kong University of Science and Technology. His interdisciplinary research focuses on providing elegant solutions to computationally expensive or ill-defined problems within the fields of medical imaging computing (MIC), machine learning, high-performance computing, image processing, bioimage informatics and computer graphics. More information about his publications and software is available on www.cwkx.com and Github profile github.com/cwkx

Machine Learning Teaching

I am teaching an upcomming sub-module on applied machine learning. Slides and other material will appear on my webite as they’re released.

Cybersecurity Teaching

Slides for cybersecurity and other material will appear on my webite as they’re released.

Personal Webpage

Blog & Articles

Company Webpage

Intogral Limited

GitHub

Link to Profile

Industry Collaboration

  • University Hospital of North Durham (ongoing research with Deep Learning and Medical Image Computing)
  • Intogral Limited – Innovate UK successful grant £211,996
  • P&G (ongoing project with Deep Learning)
  • DSTL – our team successfully competed against multiple companies for phase 2 funding for £850,000 shared with one other team)
  • Dyson
  • Unilever

Grants/Awards

  • Intogral Limited (£211,996)
  • Discretionary Award for exceptional contribution to research and collaborative projects (£1000)
  • Research Day (2nd place prize for best presentation)
  • Ustinov travel award
  • NVIDIA Hardware Grant (£1000)
  • EPSRC funded scholarship

Research Interests

  • Unsupervised Learning
  • Medical Image Computing
  • Level Set Methods
  • Big Data Analytics
  • Image Processing
  • Cybersecurity
  • GPGPU Computing
  • Data Visualization
  • Segmentation & Skeletonization
  • Optimization
  • Deep Learning

Journals

  • A. V. Nasrulloh, C. G. Willcocks, P. T. G. Jackson, C. Geenen, M. S. Habib, D. H. W. Steel, and B. Obara, “Multi-scale Segmentation and Surface Fitting for Measuring 3D Macular Holes,” IEEE Transactions on Medical Imaging, 580-589, 2018, ISSN: 0278-0062. DOI: 10.1109/TMI.2017.2767908.
  • Chris G. Willcocks, P. T. Jackson, C. J. Nelson, and B. Obara, “Extracting 3D Parametric Curves from 2D Images of Helical Objects,” IEEE Transactions on Pattern Analysis and
    Machine Intelligence, vol. 39, no. 9, PP. 1757–1769, Sep. 2017, ISSN: 0162-8828. DOI: 10.1109/TPAMI.2016.2613866.
  • Chris G. Willcocks, P. T. Jackson, C. J. Nelson, A. Nasrulloh, and B. Obara, “Interactive GPU Active Contours for Segmenting Inhomogeneous Objects,” Journal of Real-time Image Processing, Dec. 2017, video url: https://youtube.com/watch?v=6W4mO7BPeGg, issn: 1861-8219. doi: 10.1007/s11554-017-0740-1.
  • S. Akcay, M. E. Kundegorski, Chris G. Willcocks, and T. P. Breckon, “Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 9, pp. 2203–2215, Sep. 2018, issn: 1556-6013. doi: 10.1109/TIFS.2018.2812196.
  • M. Roberts, Chris G. Willcocks, and B. Obara, “Deep Learning for the Classification and Clustering of Museum Collections,” Computing Applications & Quantitative Methods in Archaeology, Nov. 2018.
  • H. Alhasson, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Understanding the relationship between curvilinear structure enhancement and skeletonisation,” Journal of Computer Vision and Understanding, 2018, issn: 1077-3142. (In Revision)
  • S. Alharbi, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Sequential Graph-based Extraction of Prominent Curvilinear Structures,” Journal of Signal, Image and Video Processing, Jan. 2019, issn: 1863-1711 (In Revision)
  • Chris G. Willcocks and F. W. B. Li, “Feature-varying skeletonization: Intuitive control ove the target feature size and output skeleton topology,” The Visual Computer – International Journal of Computer Graphics, CGI, vol. 28, no. 6, PP. 775–785, 2012, ISSN: 1432-2315. DOI: 10.1007/s00371-012-0688-x.

Conferences and Thesis

  • Fady Medhat, Mahnaz Mohammadi, Sardar Jaf, Chris G. Willcocks, Toby Breckon, Peter Matthews, Andrew Stephen McGough, Georgios Theodoropoulos, Boguslaw Obara, “TMIXT : a process flow for Transcribing MIXed handwritten and machine-printed Text.”, IEEE International Conference on Big Data, 2018.
  • C. J. Nelson, Chris G. Willcocks, P. T. Jackson, P. Laissue, and B. Obara, “Application of high-speed level set segmentation to light sheet fluorescence microscopy,” in Light Sheet Fluorescence Microscopy International, Sheffield, UK, Aug. 2016.
  • N. Mukerji, C. J. Nelson, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Real-time segmentation of brain vasculature and identification of anomalies in magnetic resonance angiography,” in European Congress of Neurosurgery, Athens, Greece, Sep. 2016.
  • Chris G. Willcocks, “Sparse Volumetric Deformation – Animating and rendering huge amounts of volumetric data using GPGPU computing,” http://etheses.dur.ac.uk/8471/, PhD thesis, Durham University, Oct. 2013.

Supervises

Caroline Criado Perez

Invisible Women

Job Title: Author

Invisible Women

Find out more

 

Adah Parris

-ism.Earth

Title: Futurist, Cultural Strategist, Artist.

Affiliation: -ism.Earth

Websites: adahparris.com | -ism.earth

 

Dr Robert E Smith

Rage Inside the Machine

Job Title:  Technologist, complexity scientist, entrepreneur, writer and and sought-after public speaker

Find out more

Sarah Wilkinson

NHS Digital

Job Title: CEO

Affiliation: NHS Digital

Web: www.digital.nhs.uk | @NHSDigital | @SarahFWilkinson

Professor Gina Rippon

The Gendered Brain

Job Title: Professor Emeritus of Cognitive NeuroImaging

Affiliation: Aston Brain Centre, Aston University

Find out more

Renée Cummings

Urban AI

Job Title: Criminologist, criminal psychologist, AI ethicist and data activist

Renée Cummings specialises in diverse, equitable and inclusive AI design, development and deployment, principled, responsible and trustworthy AI strategy, ethical AI policy development and governance, AI risk management, AI crisis communication and using AI to save lives.

A Columbia University community scholar, and the founder of Urban AI, LLC,  Renée works at the intersection of AI, criminal justice, epidemiological and urban criminology. Passionate about the potential of AI, she speaks internationally on how to use AI to solve many societal challenges, AI for sustainable development, AI leadership and AI for business solutions. Renée also has extensive experience in homicide reduction, gun and gang violence prevention, investigating violent crimes, juvenile justice, evidence based policing, law enforcement leadership, community policing and police and media relations. Her work extends to therapeutic jurisprudence, corrections, rehabilitation, reentry and substance abuse treatment. Renée is committed to using AI to design ethical, real time, human centred solutions to improve public safety, enhance quality of life and future proof society. She’s also a journalist, and motivational speaker.

Find out more

Louise Hooper

Garden Court Chambers

Job Title: Human Rights Barrister

Affiliation: Garden Court Chambers

Websites: Louise Hooper | Louise Hooper – Garden Court Chambers

Lesley Nuttall

IBM

Job Title: IBM Security Accelerated Value Leader

Affiliation: IBM

Check out Lesley’s recent article: Five Technology Design Principles to Combat Domestic Abuse

Find out more

Dr James Luke

IBM

Job Title: IBM Distinguished Engineer, CTO for IBM AI services’ projects in Europe, Master Inventor

Affiliation:  IBM

Blog | TEDx Talk | LinkedIn

 

Lauren Kisser

Amazon/Alexa

Job Title: Director, Alexa AI – Knowledge International

Affiliation: Amazon/Alexa

Find out more

Dr Rashmi Misra

Microsoft

Job Title:  Head of AI & Mixed Reality Platforms

Affiliation:  Microsoft

Find out more

Elaine Bucknor

Sky

Job Title: Group CISO & Group Director Technology

Affiliation: Sky

Find out more

John Buyers

Osborne Clarke LLP

Job Title: Partner, Head of AI and Machine Learning

Affiliation: Osborne Clarke LLP

Find out more

 

Swathi Young

Integrity Management Services, Inc.

Job Title: CTO, Integrity Management Services, Inc.

Affiliation: Integrity Management Services Inc.

Swathi Young is a keynote speaker, blogger, community-builder and Chief Technology Officer of Integrity Management Services Inc., a healthcare services company, where she is leading innovative AI solutions for clients. In her 20+ years of technology experience, she has led over 100+ projects globally – Belgium, India and the United States across a number of Fortune 100 companies like GE and Oracle.

Swathi is passionate about using cutting edge, artificial intelligence technologies to increase the performance of organisations. She believes that the intersection of Artificial Intelligence and humanities is important to focus on as we lay the foundation of AI applications for future generations. She is the Washington DC Ambassador for Women in AI, an international non-profit organisation whose goal is to increase diversity in the field of AI.

Swathi is also the founder of DC Emerging technologies, a 2000+ member community in Washington DC whose goal is to equip innovators with the knowledge and resources they need to turn theory into applications with emerging technologies. She recently co-authored the AI Playbook, a framework to help US government to implement AI solutions. She is a member of the 2020 Forbes Technology Council.

Martin Mannion

Ivanti

Job Title:  Senior Director – Engineering

Affiliation:  Ivanti

Find out more

Brian Runciman MBCS

BCS, the Chartered Institute for IT

Job Title: Head of Content and Insight

Affiliation: BCS, the Chartered Institute for IT

Find out more

Kate Baucherel

Galia Digital

Job Title: Digital Strategist

Affiliation: Galia Digital

Find out more

 

Monica Chadha

Technology, Media and Telecoms

Job Title: Independent Director

Affiliation: Technology, Media and Telecoms

Find out more

 

Aireni Omerri

Information Security for Africa

Job Title: Founder ISfA

Find out more

Professor Alison Leary

London South Bank University

Job Title: Professor of Healthcare & Workforce Modelling

Affiliation: London South Bank University

Find out more

 

Professor Yvette Taylor

University of Strathclyde

Job title: Professor of Education

Affiliation: University of Strathclyde

Yvette Taylor is a Sociologist and Professor of Education, University of Strathclyde.  She is PI on the EU funded project ‘Comparing Intersectional Lifecourse Inequalities among LGBTQI+ Citizens in 4 European Countries’ (CILIA, 2018-2021), with previous projects including ESRC funded ‘Making Space for Queer Identifying Religious Youth’ (2011-2013) and British Academy mid-career fellowship ‘Critical Terrain: Dividing Lines and Lives’ (2013-2014).

Yvette has published four sole-authored books, and co-authored Feminist Repetitions in Higher Education: Interrupting Career Categories (Palgrave, 2020).  Edited titles include Educational Diversity: the subject of difference and different subjects (2012); The Entrepreneurial University. Public Engagements, Intersecting Impacts (2014); Feeling Academic in the Neoliberal University: Feminist Flights, Fights and Failures (2018).  Yvette edits the Palgrave Gender and Education Series,  co-edits the Routledge Advances in Critical Diversities Series, and is a Fellow of the Academy of Social Sciences.

Find out more

 

Dr Cristina Costa

Durham University

Job Title: Assistant Professor

Affiliation: Durham University

Find out more

Dr Mihretu P. Guta

Addis Ababa University

Title: Assistant Professor of Philosophy (Addis Ababa University)

Adjunct Professor of Philosophy   (Biola University and Azusa Pacific University).

Affiliation:  Addis Ababa University, Biola University and Azusa Pacific University.

Find out more

Claire Butterfield

Local Government

Job Title: Senior Data Analyst

Affiliation: Local Government

Demetra Brady

University of Cambridge

Job Title: MPhil Student in Philosophy

Affiliation: University of Cambridge

Find out more

Professor Alexandra Cristea

Durham University

Professor of Computer Science in the Department of Computer Science

Room number: E291

(email at alexandra.i.cristea@durham.ac.uk)

Bio

Alexandra I. Cristea is Professor, Head of the Innovative Computing research group at the Computer Science Department, Durham University. Her research includes web science, learning analytics, user modelling and personalisation, semantic web, social web, authoring, with over 250 papers on these subjects (over 3700 citations on Google Scholar, h-index 31). Especially, her work on frameworks for adaptive systems has influenced many researchers and is highly cited (with the top paper with over 180 citations and growing). She is within the top 50 researchers in the world in the area of educational computer-based research according to Microsoft Research. Prof. Cristea has been highly active and has an influential role in international research projects. She is experienced in running research projects and has led various projects – Newton funded workshop on Higher Education for All (’14-’18), Santander funded Education for disadvantaged pupils (’14-18′), Warwick-funded project APLIC (’11-;12), EU Minerva projects ALS (06-09) and EU Minerva ADAPT (’02-’05); as well as participated as university PI in several EU FP7 projects – BLOGFOREVER (’11-’13), GRAPPLE (’08- ’11), PROLEARN (’07) and as co-PI in the Warwick-funded Engaging Young People with Assistance Technologies (’13-’15) also featured by the BBC. Recently she has taken giving back to the community to a different level, with the project TechUP (2019-2020) training 100 women in computer science from various (BAME) backgrounds. She has been keynote/invited speaker, organiser, co-organizer, panelist and program committee member of various conferences in her research field (including, for example, ITS, AIED, UMAP, ED-MEDIA, Hypertext, Adaptive Hypermedia, ICCE, ICAI). She is a member of the editorial board of the IEEE Transactions on Learning Technologies, executive peer reviewer of the IEEE LTTF Education Technology and Society Journal and she was co-editor of the Advanced Technologies and Learning Journal. She acted as UNESCO expert for adaptive web-based education at a high-level (Ministry of Education and Educational institutes) meeting of East European countries, educational invited expert for the Romanian prime minister, as well as EU expert for H2020, FP7, FP6, eContentPlus. She has interacted with various international and local media (she has given a recent live radio interview to Power 106FM in Jamaica; work from her lab has been publicised by Free Radio Coventry & Warwickshire, Birmingham Post, Birmingham Mail, phys.org, The Daily Dot, Mirror, Vice Motherboard, BBC News, Pinterest, Globenewswire, Romanian TV). She is a BCS fellow, a HEA fellow, IEEE Senior Member and IEEE CS member, EATEL (European Association of Technology Enhanced Learning) founding member, ACM member.

IoC TechUP Project

100 (BAME) women will have the chance to be retrained in IT. The main page of the TechUP project is here.

Publications

Research Groups

  • Innovative Computing

Research Interests

  • Adaptive, personalised web
  • Applied AI
  • Learner Analytics Data Analytics
  • Semantic Web
  • Social Web
  • User Modelling
  • Web Science

Selected Publications

Journal Article

Chapter in book

Conference Paper

Show all publications

Media Contacts

Available for media contact about:

  • Computer Science: Web Science
  • Computer Science: Learner Analytics
  • Education: Learner Analytics

Supervises

Professor Toby Breckon

Durham University

Professor in the Department of Computer Science

Telephone: +44 (0) 191 33 42396
Professor in the Department of Engineering

(email at toby.breckon@durham.ac.uk)

Biography

Toby Breckon is a Professor in the Innovative Computing Group at the Department of Engineering and Department of Computer Science at Durham University and a tutor at St. Chads College. He leads research in computer vision, image processing and robotic sensing with a strong emphasis on generalised machine learning and pattern recognition approaches.

Before joining Durham in 2013, he held faculty positions at the School of EngineeringCranfield University, the UK’s only postgraduate-only university, and the School of InformaticsUniversity of Edinburgh. Prior to this he was a mobile robotics research engineer with the UK MoD (DERA) and QinetiQ as well as holding prior positions with the schools inspectorate OFSTED, the Scottish Language Dictionaries organisation and dot-com software house Orbital Software.

He has held a visiting faculty positions at ESTIA (Ecole Supérieure des Technologies Industrielles Avancées, South-West France), Northwestern Polytechnical University (Xi’an, China), Waseda University (Kitakyushu, Japan) and Shanghai Jiao Tong University (Shanghai, China) specializing in aspects of computer vision and machine learning.

His key research interests, in the domain of applied computer vision & robotics, are as follows: automotive computer visionautomated X-ray security screening, vision in built environmentssensor fusionvisual surveillance and sensing for autonomous vehicles He has a range of publications and leads several funded research projects in these areas.

In 2008 he led the development of image-based automatic threat detection for the the Stellar Team’s SATURN multi-platform robot system in the MoD Grand Challenge. The team went on to win the challenge and were awarded the R.J. Mitchell Trophy for innovation by the UK MoD (2008) and later the Finmeccanica Group Innovation Award (2009). The ongoing achievements of this innovative work were also recognised by an IET Award for Innovation (Team Category, 2009)

His research work is recognised by the Royal Photographic Society Selwyn Award (2011) for a significant early career contribution to imaging science.

Research Groups

  • Innovative Computing

Research Interests

  • Autonomous sensing
  • Computer vision
  • Image processing
  • Machine learning
  • Robotic sensing

Publications

Journal Article

Authored book

  • Fisher, R.B., Breckon, T.P., Dawson-Howe, K., Fitzgibbon, A., Robertson, C., Trucco, E. & Williams, C.K.I. (2014). Dictionary of Computer Vision and Image Processing. Wiley.
  • Solomon, C.J. & Breckon, T.P. (2013). Fundamentos de Processamento Digital de Imagens – Uma Abordagem Pratica com Exemplos em Matlab. LTC (Brazil).
  • Solomon, C.J. & Breckon, T.P. (2010). Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab. Wiley-Blackwell.

Conference Paper

Doctoral Thesis

Related Links

Media Contacts

Available for media contact about:

  • Computer Science: image processing
  • Computer Science: object recognition
  • Computer Science: computer vision
  • Computer Science: robotic sensing
  • Computer Science: machine learning

Supervises

Dr Steven Bradley

Durham University

Associate Professor (Teaching) in the Department of Computer Science

Telephone: +44 (0) 191 33 41754

(email at s.p.bradley@durham.ac.uk)

Biography

After studying maths and then Computer Science, Steven joined Durham University in 1997 as a lecturer in Computer Science. From 2004-2013 he was a part-time teaching fellow, spending the rest of his time on web consultancy, mainly on research projects across the university. Since 2013 he has been a full-time teaching fellow in the school of Engineering and Computing Sciences.

Indicators of Esteem

Research Groups

  • Innovative Computing

Research Projects

Department of Sociology

  • Children’s hospice service data mapping project 2011/12
  • Mapping Unit

Research Interests

  • Computer Science education
  • Citizen science
  • Knowledge representation and student learning
  • Web-based data collection
  • Real-time systems
  • Software engineering

Selected Publications

Journal Article

Conference Paper

  • Bradley, Steven (2016), Managing Plagiarism in Programming Assignments with Blended Assessment and Randomisation, in Sheard, Judy & Suero Montero, Calkin eds, 16th Koli Calling Conference on Computing Education Research. Koli, Finland, Association for Computing Machinery (ACM), New York, NY, 21-30.
  • Hsing, P.-Y.Bradley, S., Kent V., Hill R., Whittingham M. & Stephens P. (2015), Monitoring Wild Mammals in County Durham with a Citizen Science Web Platform, ICCB 27th International Congress for Conservation Biology. Montpellier, France, Montpellier.
  • Bennett, K.H.Bradley, S., Glover, G. & Barnes, D. (2003), Software evolution in an interdisciplinary environment, in O’Brien, L. & Gold, Nicolas eds, STEP Software Technology and Engineering Practice, 11th. International Conference. Amsterdam, IEEE Computer Press, 199-203.
  • Fox, Maria, Long, Derek, Bradley, Steven & McKinna, James (2001), Using Model Checking for Pre-Planning Analysis, AAAI Symposium on Model-based Validation of Intelligence. AAAI.

Show all publications

Related Links

Selected Grants

  • 2014: google CS4HS (Computer Science for High Schools) award $12k for work on Computer Science Into Schools
  • 2013: Durham University Enhancing the Student Learning Experience (ESLE) award: FOCUS Diagnostics – the development of an online diagnostic and instructional toolkit to enhance student understanding of subject specific language

Dr Suncica Hadzidedic

Durham University

Assistant Professor in the Department of Computer Science

Telephone: +44 (0) 191 33 47346
Room number: E231

Contact Dr Sunčica Hadžidedić (email at suncica.hadzidedic@durham.ac.uk)

Biography

Dr Hadzidedic is an Assistant Professor in the Department of Computer Science at Durham University. She obtained a BSc (First Class Hons) in Information Systems from the University Sarajevo School of Science and Technology (SSST), B&H, and University of Buckingham, UK. She holds an MSc in IT Management from Binary University, Malaysia. In 2018, she was awarded a PhD in Computer Science from the University of Warwick, UK. She worked as a lecturer and a researcher at the University SSST from 2017 to 2019, during which time she joined two EU projects: Erasmus+ e-VIVA (Enhancing and Validating servIce related competences in Versatile learning environments in Western BAlkan Universities) and EU COST Action VascAgeNet (Network for Research in Vascular Aging).

Broadly, her research interests are in human-computer interaction, affective computing and online privacy. She has published research on web personalisation, specifically affect-adaptive user interfaces and affective recommender systems applied to online cancer services. In collaboration with a B&H cancer association, she developed PORT.org.ba, a real-life cancer website providing emotion-based content recommendations and UI adaptation. Her current research is on socially responsible AI, with a particular focus on affect-aware Intelligent Tutoring Systems for students with mood disorders.

Research group

Innovative Computing Group

Research Interests

  • Human-computer interaction
  • Web personalisation / user modelling
  • Affective (context-aware) recommender systems
  • Intelligent tutoring systems
  • Behavioural analytics
  • Applied machine learning in healthcare
  • Online privacy

Publications

Journal Article

Chapter in book

Conference Paper

  • Ramic-Brkic, B, Balik, A, Pistoljevic, N & Hadzidedic, S. (2019), Web Tool for Creating Educational/Therapeutic Programmes, 11th International Conference on Virtual Worlds and Games for Serious Applications. Vienna, Austria.
  • Al Qudah, Dana A., Cristea, A.I.Hadzidedic Bazdarevic, S., Al-Saqqa, Samar & Al-Sayyad, Rizik M. H. (2015), A Taxonomy-Based Evaluation of Personalized E-AdvertisementIEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing. 395.
  • Al Qudah, Dana A., Cristea, A.I.Hadzidedic Bazdarevic, S., Al-Saqqa, Samar, Rodan, Ali & Yang, Wei (2015), Personalized E-Advertisement and Experience: Recommending User Targeted AdsIEEE 12th International Conference on e-Business Engineering. 56.
  • Hadzidedic Bazdarevic, S. & Cristea, A.I. (2015), What do people affected by cancer talk about online? Text analysis of online cancer community usage in Bosnia and HerzegovinaFifth International Conference on Social Medial Technologies, Communication and Informatics (SOTICS). Barcelona, Spain.
  • Shi, LCristea, AI & Hadzidedic, S (2014), The Critical Role of Profiles in Social E-Learning Design, 15th Annual Conference on Information Technology Education (SIGITE). Atlanta, Georgia, US.
  • Hadzidedic, S, Dervishalidovic, N, Pandzo, A & Ramic-Brkic, B (2013), Use of Student Response Systems in Higher Education in Bosnia and Herzegovina, Recent Advances in Information Systems, Proceedings of the 7th European Computing Conference, WSEAS. Dubrovnik, Croatia.