Ghinea
i am a professor in the department of computer science at brunel university london. i obtained my bsc. degree with computer science and mathematics majors from the university of the witwatersrand, south africa. i later went on to obtain bsc. (hons.) and msc. degrees, both in computer science, from the same university. i was awarded my phd – quality of perception: an essential facet of multimedia communications - from the university of reading, uk, in 2000. in it, i proposed the quality of perception metric, a precursor of the quality of experience (qoe) concept now widely known. however, whilst qoe is still a concept, qop is a concrete metric. thus, recognising the infotainment duality of multimedia, qop not only characterises the subjective enjoyment associated with experiencing multimedia presentations, but also how such presentations aid a person\'s ability to assimilate informational content. my research activities lie at the confluence of computer science, media and psychology. in particular, my work focuses on the area of perceptual multimedia quality and how one builds end-to-end communication systems incorporating user perceptual requirements. i have applied my expertise in areas such as eye-tracking, telemedicine, multi-modal interaction, and ubiquitous and mobile computing. i am particularly interested in building human-centred e-systems, particularly integrating human perceptual requirements. my work has been funded by both national and international funding bodies – all of it being collaborative work with other teams and stakeholders i have been privileged to be involved with. i have also been honoured to supervise 33 phd students to completion and to have published over 350 high-quality research articles with them and other research collaborators. currently, my research pursuits are centered on extending the notion of multimedia with that of mulsemedia – a term which i have put forward to denote multiple sensorial media, ie. media applications that go beyond engaging the by now traditional auditory and visual senses, engaging three of our other human in a realistic manner akin to our experiences of everyday life. • multimedia and multimodal interactive environments• mulsemedia applications and environments• adaptive, cross-layer communication systems• human-centred e-systems• mobile and pervasive computing• communications security • multimedia and multimodal interactive environments • mulsemedia applications and environments • adaptive, cross-layer communication systems • human-centred e-systems • mobile and pervasive computing • communications security i currently lead the level 7 postgraduate module research project management.
![Professor George Ghinea]()
Professor George Ghinea
I am a Professor in the Department of Computer Science at Brunel University London. I obtained my BSc. Degree with Computer Science and Mathematics majors from the University of the Witwatersrand, South Africa. I later went on to obtain BSc. (Hons.) and MSc. Degrees, both in Computer Science, from the same university. I was awarded my PhD – Quality of Perception: An Essential Facet of Multimedia Communications - from the University of Reading, UK, in 2000. In it, I proposed the Quality of Perception metric, a precursor of the Quality of Experience (QoE) concept now widely known. However, whilst QoE is still a concept, QoP is a concrete metric. Thus, recognising the infotainment duality of multimedia, QoP not only characterises the subjective enjoyment associated with experiencing multimedia presentations, but also how such presentations aid a person\'s ability to assimilate informational content. My research activities lie at the confluence of Computer Science, Media and Psychology. In particular, my work focuses on the area of perceptual multimedia quality and how one builds end-to-end communication systems incorporating user perceptual requirements. I have applied my expertise in areas such as eye-tracking, telemedicine, multi-modal interaction, and ubiquitous and mobile computing. I am particularly interested in building human-centred e-systems, particularly integrating human perceptual requirements. My work has been funded by both national and international funding bodies – all of it being collaborative work with other teams and stakeholders I have been privileged to be involved with. I have also been honoured to supervise 33 PhD students to completion and to have published over 350 high-quality research articles with them and other research collaborators. Currently, my research pursuits are centered on extending the notion of multimedia with that of mulsemedia – a term which I have put forward to denote multiple sensorial media, ie. media applications that go beyond engaging the by now traditional auditory and visual senses, engaging three of our other human in a realistic manner akin to our experiences of everyday life. • Multimedia and multimodal interactive environments• Mulsemedia applications and environments• Adaptive, cross-layer communication systems• Human-centred e-systems• Mobile and pervasive computing• Communications security • Multimedia and multimodal interactive environments • Mulsemedia applications and environments • Adaptive, cross-layer communication systems • Human-centred e-systems • Mobile and pervasive computing • Communications security I currently lead the level 7 postgraduate module Research Project Management.
Lauria
dr stanislao lauria has a laurea awarded by the university of studies “federico ii” of napoli in italy. he holds a ph.d. in cybernetics from the university of reading, uk. dr stanislao lauria is a lecturer at brunel university london. previously he was research fellow at the university of plymouth and at the university of reading. dr. s. lauria has been working in the area of intelligent robotics for more than 15 years, and is particularly specialised in modelling and training mobile robots by means of intelligent human-machine interactions. specifically, he has investigated the use of various frameworks for representing knowledge and converting natural language into robot-understandable actions. he has established the brunel robotics laboratory performing exploratory experiments on cognitive mobile robots. he has also investigated the use of various artificial intelligence paradigms for various signal processing domains. his current activities focus on machine-human interactions. in particular, he is investigating the implication of social media on human-robot interactions and dialogue management aspects. finally, he is exploring the use of robotics as an educational tool. neural networks pattern recognition/processing natural language based interactions dialogue based systems. multi agent architectures. robotics machine-human interactions social network and machine-human interactions big data searches. dr lauria has been involved in designing delivering and assessing several teaching modules with a particular emphasis on programming. therefore, suitable methods to allow students at a beginner level to increase their confidence in programming have been introduced. the aim has been to both introduce alternative paradigms to stimulate student motivation and to increase student’s perception of their own skills. as part of various outreaching programs dr. lauria has developed some innovative methods based on short interactive sessions to allow naive user to be able to control and program robots. teaching areas. computer networks programming languages database software engineering database algorithms
![Dr stasha Lauria]()
Dr stasha Lauria
Dr Stanislao Lauria has a Laurea awarded by The University of Studies “Federico II” of Napoli in Italy. He holds a Ph.D. in Cybernetics from The University of Reading, UK. Dr Stanislao Lauria is a Lecturer at Brunel University London. Previously he was research fellow at the University of Plymouth and at the University of Reading. Dr. S. Lauria has been working in the area of intelligent robotics for more than 15 years, and is particularly specialised in modelling and training mobile robots by means of intelligent human-machine interactions. Specifically, he has investigated the use of various frameworks for representing knowledge and converting natural language into robot-understandable actions. He has established the Brunel Robotics Laboratory performing exploratory experiments on cognitive mobile robots. He has also investigated the use of various Artificial Intelligence paradigms for various signal processing domains. His current activities focus on Machine-Human interactions. In particular, he is investigating the implication of Social Media on Human-Robot interactions and dialogue management aspects. Finally, he is exploring the use of robotics as an educational tool. Neural Networks Pattern Recognition/Processing Natural Language based interactions Dialogue Based systems. Multi Agent Architectures. Robotics Machine-Human Interactions Social Network and Machine-Human interactions Big Data searches. Dr Lauria has been involved in designing delivering and assessing several teaching modules with a particular emphasis on programming. Therefore, suitable methods to allow students at a beginner level to increase their confidence in programming have been introduced. The aim has been to both introduce alternative paradigms to stimulate student motivation and to increase student’s perception of their own skills. As part of various outreaching programs Dr. Lauria has developed some innovative methods based on short interactive sessions to allow naive user to be able to control and program robots. Teaching areas. Computer Networks Programming Languages Database Software Engineering Database Algorithms
Macredie
with over 20 years of research experience, rob macredie has worked with a range of organisations, ranging from large, blue-chip companies, through small businesses, to government agencies. rob’s research spans the fields of human-computer interaction and information systems, exploring the ways in which people and organisations use technology, and aims to determine how work can be more effectively undertaken by improving the way that we understand how people and technology interact in organisational (and social) settings. he is professor of interactive systems at brunel university london, and has held senior leadership roles as head of school, dean of faculty and pro-vice-chancellor. rob is a fellow of the british computer society. rob’s research spans the fields of human-computer interaction and information systems, exploring the ways in which people and organisations use technology, and aims to determine how work can be more effectively undertaken by improving the way that we understand how people and technology interact in organisational (and social) settings. human-computer interaction (hci) is rob's general area of research interest, with this specifically applied to the design and evaluation of systems in a range of personal and organisational contexts. key themes represented in his research are to provide a deep understanding of the influences of individual differences on system design and use, and the requirements of using interactive systems for information access. rob's research also crosses into the information systems area, through interdisciplinary research with colleagues in this field, addressing organisational use and impact of technologies. human-computer interaction; information systems; virtual environments cs1701 level 1 group projects cs3607 e-business cs3072/cs3074/cs3605 final-year projects
![Professor Rob Macredie]()
Professor Rob Macredie
With over 20 years of research experience, Rob Macredie has worked with a range of organisations, ranging from large, blue-chip companies, through small businesses, to government agencies. Rob’s research spans the fields of Human-Computer Interaction and Information Systems, exploring the ways in which people and organisations use technology, and aims to determine how work can be more effectively undertaken by improving the way that we understand how people and technology interact in organisational (and social) settings. He is Professor of Interactive Systems at Brunel University London, and has held senior leadership roles as Head of School, Dean of Faculty and Pro-Vice-Chancellor. Rob is a Fellow of the British Computer Society. Rob’s research spans the fields of Human-Computer Interaction and Information Systems, exploring the ways in which people and organisations use technology, and aims to determine how work can be more effectively undertaken by improving the way that we understand how people and technology interact in organisational (and social) settings. Human-Computer Interaction (HCI) is Rob's general area of research interest, with this specifically applied to the design and evaluation of systems in a range of personal and organisational contexts. Key themes represented in his research are to provide a deep understanding of the influences of individual differences on system design and use, and the requirements of using interactive systems for information access. Rob's research also crosses into the Information Systems area, through interdisciplinary research with colleagues in this field, addressing organisational use and impact of technologies. Human-Computer Interaction; Information Systems; Virtual Environments CS1701 Level 1 Group Projects CS3607 e-Business CS3072/CS3074/CS3605 Final-year Projects
Money
dr arthur g. money is a reader in the department of computer science at brunel university london, where he also received his msc in distributed information systems with distinction in 2001 and phd in multimedia computing in 2007. prior to embarking on a fully funded epsrc phd scholarship in 2004, he worked for oracle uk ltd as an e-business technology consultant. dr money’s research focuses on the user-centred design, development and evaluation of multimedia computing systems and the effective deployment of these systems with users who have complex needs spanning a range of domains including older adults, healthcare, education, and defence. multimedia computing, human-computer interaction, 3d mobile virtual reality, video summarisation, assistive technologies for health care, serious games, inclusive access in hci, human factors, user-centred design, emotion and affective computing, e-government and e-inclusion. module leader: cs3608 social media, teaching contributor: cs3072 final year project, supervisor: cs1701 level 1 group project project, supervisor: cs3072 & cs3074 department of computer science projects
![Dr Arthur Money]()
Dr Arthur Money
Dr Arthur G. Money is a Reader in the Department of Computer Science at Brunel University London, where he also received his MSc in Distributed Information Systems with distinction in 2001 and PhD in Multimedia Computing in 2007. Prior to embarking on a fully funded EPSRC PhD scholarship in 2004, he worked for Oracle UK Ltd as an e-Business Technology Consultant. Dr Money’s research focuses on the user-centred design, development and evaluation of multimedia computing systems and the effective deployment of these systems with users who have complex needs spanning a range of domains including older adults, healthcare, education, and defence. Multimedia Computing, Human-Computer Interaction, 3D Mobile Virtual Reality, Video Summarisation, Assistive Technologies for Health Care, Serious Games, Inclusive Access in HCI, Human Factors, User-Centred Design, Emotion and Affective Computing, e-Government and e-Inclusion. Module leader: CS3608 Social Media, Teaching Contributor: CS3072 Final Year Project, Supervisor: CS1701 Level 1 Group Project Project, Supervisor: CS3072 & CS3074 Department of Computer Science Projects
Patel
i am a senior lecturer in the department of computer science and my specialism is user experience and digital service design. in addition to working in the placement and careers service, and as a service designer for a digital design agency, i have over 15 years of teaching experience. i am also a trained mediator and conflict coach, and more recently i trained as a mental health first aider. i am the module leader for the digital service design applications course that is part of our msc in digital service design. i also teach on the year 2 group project and usability engineering module. i supervisse final year projects and msc dissertations.
![Dr Nayna Patel]()
Dr Nayna Patel
I am a Senior Lecturer in the department of Computer Science and my specialism is user experience and digital service design. In addition to working in the placement and careers service, and as a service designer for a digital design agency, I have over 15 years of teaching experience. I am also a trained Mediator and Conflict Coach, and more recently I trained as a Mental Health First Aider. I am the module leader for the Digital Service Design Applications course that is part of our MSc in Digital Service Design. I also teach on the Year 2 Group project and Usability Engineering module. I supervisse final year projects and MSc dissertations.
Manohar
arthi is a senior lecturer and director for the bsc product design in brunel design school. she is a design researcher, investigating the relationship between social design and technology. arthi joined brunel university in 2018 as a lecturer in design. previous to brunel, she was a research fellow at northumbria university newcastle where she explored complex socio-digital problems including designing for trust within tapestry project, funded by the rcuk digital economy. she has experience in working across interdisciplinary research groups including mixed reality lab at the university of nottingham and the innovation school at the glasgow school of art. arthi’s doctorate was a part of an epsrc digital economy project ‘tales of things and electronic memories’ (totem) from university of dundee’s socio digital group. her research interests include participatory design, co-design, user-centered design and human computer interaction (hci). her research and teaching explore the role of human values by investigating the relationship between the social design and technology. arthi is a reviewer for hci, cscw, ieee, interdisciplinary journals and conference series. she has been part of various conference program chairs including british hci 2021, designing interaction systems (dis) 2019 and indiahci 2019. she is also the equality, diversity and inclusion (edi) champion for the department of design since 2020. teaching responsibilities: programme director, bsc product design equality, diversity and inclusion director module leader level 3 bas and bsc, interaction and user experince design - 2020 to present module leader level 2 bscs, digital design prototyping 2023 to present module leader level 2 bas, technical design applications - 2020 to 2024 module leader level 1 bas and bsc, design communication - 2020 to 2023 module leader level 2 professional practice and preperation for professional practice - 2019 and 2021 co-tutor level 4 msc integrated product design, professional design studio - 2019 and 2023 selected masters dissertation supervision: inclusive design to reduce gender bias in public transport - qingyang xu, 2020-2021 women are for mars? speculative design fro future habitats on mars with a focus on women. jon ruscoe, 2021 to 2022. felt-experience in data visualisation of quantified-self. kanchan bapan, 2020-2021 enhancing the in-store customer experience by using ai and ar - fahad alhathal, 2018-19. heritage rejuvenation: design-led branding strategy to save heritage from obsolescence - ting ya chuang, 2018-19. exploring the role of design thinking within artificial intelligence - andrea gomez de la vara, 2018-19.
![Dr Arthi Manohar]()
Dr Arthi Manohar
Arthi is a Senior Lecturer and Director for the BSC Product Design in Brunel Design School. She is a design researcher, investigating the relationship between social design and technology. Arthi joined Brunel University in 2018 as a Lecturer in Design. Previous to Brunel, she was a Research Fellow at Northumbria University Newcastle where she explored complex socio-digital problems including designing for trust within TAPESTRY project, funded by the RCUK Digital Economy. She has experience in working across interdisciplinary research groups including Mixed Reality Lab at the University of Nottingham and the Innovation School at the Glasgow School of Art. Arthi’s Doctorate was a part of an EPSRC Digital Economy project ‘Tales of Things and Electronic Memories’ (TOTeM) from University of Dundee’s Socio Digital group. Her research interests include participatory design, co-design, user-centered design and Human Computer Interaction (HCI). Her research and teaching explore the role of human values by investigating the relationship between the social design and technology. Arthi is a reviewer for HCI, CSCW, IEEE, interdisciplinary journals and conference series. She has been part of various conference program chairs including British HCI 2021, Designing Interaction Systems (DIS) 2019 and IndiaHCI 2019. She is also the Equality, Diversity and Inclusion (EDI) Champion for the Department of Design since 2020. Teaching Responsibilities: Programme Director, BSc Product Design Equality, Diversity and Inclusion Director Module Leader Level 3 BAs and BSc, Interaction and User Experince Design - 2020 to present Module Leader Level 2 BSCs, Digital Design Prototyping 2023 to present Module Leader Level 2 BAs, Technical Design Applications - 2020 to 2024 Module Leader Level 1 BAs and BSc, Design Communication - 2020 to 2023 Module Leader Level 2 Professional Practice and Preperation for Professional Practice - 2019 and 2021 Co-tutor Level 4 MSc Integrated Product Design, Professional Design Studio - 2019 and 2023 Selected Masters Dissertation supervision: Inclusive Design to reduce Gender Bias in Public Transport - Qingyang Xu, 2020-2021 Women are for Mars? Speculative Design fro Future Habitats on Mars with a Focus on Women. Jon Ruscoe, 2021 to 2022. Felt-Experience in Data Visualisation of Quantified-Self. Kanchan Bapan, 2020-2021 Enhancing the in-store customer experience By using AI and AR - Fahad Alhathal, 2018-19. Heritage Rejuvenation: Design-led Branding strategy to save heritage from obsolescence - Ting Ya Chuang, 2018-19. Exploring the Role of Design Thinking within Artificial Intelligence - Andrea Gomez de la Vara, 2018-19.
Kaniadakis
i am a reader in education in the digital economy and a senior fellow of the higher education academy (sfhea). i have an interest in work-based and industry-relevant pedagogies, delivered through innovative curricula, such as degree apprenticeships. i am also interested in academic development and mentoring, especially for education-focused academics. my subject background is in the social sciences. i was trained as a sociologist and i hold a phd in science, technology and innovation studies from edinburgh university. i have an interest in socio-economic analyses of digital technology innovation. i specialise in qualitative and experimental research methodologies and i am an experienced ethnographer. prior to joining brunel, i was senior lecturer at the school of electronic engineering and computer science, queen mary university of london. i have also worked at the london school of economics & political science (information systems & innovation), the university of edinburgh (business school) and the open university (economics). keywords: digital economy, work-based learning, degree apprenticeships, social informatics, innovation, fintech, technology and society, hci currently working on: - trust expectations from blockchain use in mainstream markets - work-based learning in digital degree apprenticeships - education-focused academics professional and career development - scholarship of teaching and learning social informatics, digital innovation, information infrastructures, fintech, securitisation, enterprise systems (e.g. erp), sharing economy, social media, organisational change, technology and society, higher education pedagogy, hci.
![Dr Antonios Kaniadakis]()
Dr Antonios Kaniadakis
I am a Reader in Education in the Digital Economy and a Senior Fellow of the Higher Education Academy (SFHEA). I have an interest in work-based and industry-relevant pedagogies, delivered through innovative curricula, such as Degree Apprenticeships. I am also interested in academic development and mentoring, especially for Education-focused academics. My subject background is in the Social Sciences. I was trained as a Sociologist and I hold a PhD in Science, Technology and Innovation Studies from Edinburgh University. I have an interest in socio-economic analyses of digital technology innovation. I specialise in qualitative and experimental research methodologies and I am an experienced ethnographer. Prior to joining Brunel, I was Senior Lecturer at the School of Electronic Engineering and Computer Science, Queen Mary University of London. I have also worked at the London School of Economics & Political Science (Information Systems & Innovation), the University of Edinburgh (Business School) and the Open University (Economics). Keywords: Digital economy, work-based learning, degree apprenticeships, social informatics, innovation, fintech, technology and society, HCI Currently working on: - Trust expectations from blockchain use in mainstream markets - Work-based learning in digital degree apprenticeships - Education-focused academics professional and career development - Scholarship of Teaching and Learning Social informatics, digital innovation, information infrastructures, fintech, securitisation, enterprise systems (e.g. ERP), sharing economy, social media, organisational change, technology and society, higher education pedagogy, HCI.
Sengul
cigdem has more than ten years of experience in research and development in mobile and wireless networks in both academia and industry. she has been working on standards for building privacy and trust in the internet of things during her time at nominet as a senior researcher (2015-2019). between 2012-2015, she worked as a senior lecturer at oxford brookes university, where she lectured and conducted research on wireless and mobile networks, with a particular focus on energy and interference efficiency, and internet of robotic things. from 2008-2012, she was with telekom innovation labs (the main research unit of deutsche telekom) as a senior research scientist leading projects on wireless mesh networks. her work has been published in more than 50 journal and conference publications. she is a fulbright, department of computer science, uiuc and vodafone fellow. cigdem is a passionate advocate of increasing diversity awareness in computing. she is the communication co-chair of acm women. between 2019-2022, she was the communication and outreach chair of acm women-europe. she collaborates with the micro:bit educational foundation to support their mission of teaching coding to school children. she is the co-author of the networking with the micro:bit book. while we think the internet mostly composed of traditional computers and networks, this view cannot withstand the evolution of technologies such as the internet of things. internet of things (iot) refers to a "system of interconnections between digital technologies and physical objects that enable (traditionally mundane) objects to exhibit computing properties and interact with another with or without human intervention." as iot, interactive technologies such as augmented reality, and personalised digital experience with, e.g. wearable devices mature, we will have more "ambient computing" with tight integration between humans and technology. complemented with advances in machine learning and artificial intelligence, these systems will have a powerful impact on society. internet-based technologies have been transformational creating value and enabling progress in many ways, but it is important to acknowledge the potential of real harms if the rights and safety of people are not protected. therefore, my research is on trustworthy systems which provide higher degrees of trust for service providers and their users by improving the transparency, accountability, and controllability of the internet at the network and applications level. the goal is to create systems that are not a "black box" to their users, but systems with transparency, accountability, and controllability properties. creating trustworthy systems requires solving a wide range of cross-disciplinary challenges, for instance in the fields of digital ethics, privacy-enhancing technologies, computer systems, networks and their security, business and education. my main areas of work focus on:- internet of things: from device to edge, and cloud- security, privacy and trust by design- citizen-centricity and citizen-driven solutions for smart systems- real experimentation, deployments, open platforms internet of things, security and privacy, personal data protection. i am the module leader for cs2001 - year 2 project. i also supervise fyp projects. if you would like to do an fyp project with me, here are my interests informed my teaching, research and service. my research area is on the internet of things, with an emphasis on privacy and security. lately, i’ve been contributing to the standardisation efforts in access control for constrained environments in the ietf (internet engineering task force). i also work on physical computing for teaching networking, e.g. with bbc micro:bits. finally, i am the athena swan chair, and equality and diversity champion and would be interested in exploring computing projects that aim to improve diversity. i would be interested in supervising projects with any of the following elements: security in iot data protection and privacy especially in iot physical-computing for computer science education. networks simulation, and data analysis example project ideas privacy and data protection automatic user privacy policy generation based on user consent scenario exploration games to learn from user privacy sensitivities in smart homes (something like education with physical computing radio-based games for networking or ai education with bbc micro:bits iot, computer networks and security the implementation of encrypted publish-subscribe group communication as described in the ietf ace pub-sub profile securing mqtt for sensor networks (mqtt-sn) based on the ietf ace (authentication and authorization in constrained environments) framework diversity analysis of gender diversity in wikipedia using data pulled from wikimedia api. happy to talk to students about their own ideas.
![Dr Cigdem Sengul]()
Dr Cigdem Sengul
Cigdem has more than ten years of experience in research and development in mobile and wireless networks in both academia and industry. She has been working on standards for building privacy and trust in the Internet of Things during her time at Nominet as a Senior Researcher (2015-2019). Between 2012-2015, she worked as a Senior Lecturer at Oxford Brookes University, where she lectured and conducted research on wireless and mobile networks, with a particular focus on energy and interference efficiency, and Internet of Robotic Things. From 2008-2012, she was with Telekom Innovation Labs (the main research unit of Deutsche Telekom) as a Senior Research Scientist leading projects on Wireless Mesh Networks. Her work has been published in more than 50 journal and conference publications. She is a Fulbright, Department of Computer Science, UIUC and Vodafone fellow. Cigdem is a passionate advocate of increasing diversity awareness in computing. She is the Communication Co-Chair of ACM Women. Between 2019-2022, she was the Communication and Outreach Chair of ACM Women-Europe. She collaborates with the Micro:bit Educational Foundation to support their mission of teaching coding to school children. She is the co-author of the Networking with the Micro:bit book. While we think the Internet mostly composed of traditional computers and networks, this view cannot withstand the evolution of technologies such as the Internet of Things. Internet of Things (IoT) refers to a "system of interconnections between digital technologies and physical objects that enable (traditionally mundane) objects to exhibit computing properties and interact with another with or without human intervention." As IoT, interactive technologies such as augmented reality, and personalised digital experience with, e.g. wearable devices mature, we will have more "ambient computing" with tight integration between humans and technology. Complemented with advances in machine learning and artificial intelligence, these systems will have a powerful impact on society. Internet-based technologies have been transformational creating value and enabling progress in many ways, but it is important to acknowledge the potential of real harms if the rights and safety of people are not protected. Therefore, my research is on trustworthy systems which provide higher degrees of trust for service providers and their users by improving the transparency, accountability, and controllability of the Internet at the network and applications level. The goal is to create systems that are not a "black box" to their users, but systems with transparency, accountability, and controllability properties. Creating trustworthy systems requires solving a wide range of cross-disciplinary challenges, for instance in the fields of digital ethics, privacy-enhancing technologies, computer systems, networks and their security, business and education. My main areas of work focus on:- Internet of Things: From Device to Edge, and Cloud- Security, Privacy and Trust by Design- Citizen-centricity and citizen-driven solutions for smart systems- Real experimentation, deployments, open platforms Internet of Things, Security and Privacy, Personal Data Protection. I am the module leader for CS2001 - Year 2 Project. I also supervise FYP Projects. If you would like to do an FYP project with me, here are my interests informed my teaching, research and service. My research area is on the Internet of Things, with an emphasis on privacy and security. Lately, I’ve been contributing to the standardisation efforts in access control for constrained environments in the IETF (Internet Engineering Task Force). I also work on physical computing for teaching networking, e.g. with BBC micro:bits. Finally, I am the Athena SWAN chair, and equality and diversity champion and would be interested in exploring computing projects that aim to improve diversity. I would be interested in supervising projects with any of the following elements: Security in IoT Data protection and privacy especially in IoT Physical-computing for computer science education. Networks simulation, and data analysis Example project ideas Privacy and Data Protection Automatic user privacy policy generation based on user consent Scenario exploration games to learn from user privacy sensitivities in smart homes (something like Education with Physical Computing Radio-based games for networking or AI education with BBC micro:bits IoT, Computer Networks and Security The implementation of encrypted publish-subscribe group communication as described in the IETF ACE Pub-Sub profile Securing MQTT for Sensor Networks (MQTT-SN) based on the IETF ACE (Authentication and Authorization in Constrained Environments) framework Diversity Analysis of Gender Diversity in Wikipedia using data pulled from WikiMedia API. Happy to talk to students about their own ideas.
Sassoon
dr isabel sassoon is a senior lecturer in computer science at brunel university. isabel was brunel lead investigator on immune (immunity passport service design) an ukri arts and humanities research council funded project. immune's aim is to research the unintended consequences and risks related to immunity passports for covid-19 with a view to inform their design in way that mitigates these. before joining brunel isabel was research associate on the consult (collaborative mobile decision support for managing multiple morbidities), an epsrc funded project in the department of informatics in king’s college london. this project developed a collaborative mobile decision-support system to help patients suffering from chronic diseases to self-manage their treatment, by bringing together and reasoning with wellbeing sensor data, clinical guidelines and patient data. prior to that isabel was teaching fellow in the department of informatics in king’s college london, primarily on the data science msc. isabel's research interests are in data-driven automated reasoning, and its transparency and explainability. her phd research developed a computational argumentation based system to support the appropriate selection of statistical model given a research objective and available data. her current research continues to explore how computational argumentation can assist in model explainability and trust. prior to joining king's college london isabel worked for more than 10 years as a data science consultant in industry, including 8 years in sas uk. isabel read statistics, operations research and economics at tel aviv university and received her ph.d. in informatics from king's college london. isabel is a fellow of the royal statistical society and editorial board member of real world data science, data science explainable ai computational argumentation health informatics
![Dr Isabel Sassoon]()
Dr Isabel Sassoon
Dr Isabel Sassoon is a Senior Lecturer in Computer Science at Brunel University. Isabel was Brunel Lead Investigator on IMMUNE (Immunity Passport Service Design) an UKRI Arts and Humanities Research Council funded project. IMMUNE's aim is to research the unintended consequences and risks related to immunity passports for COVID-19 with a view to inform their design in way that mitigates these. Before joining Brunel Isabel was Research Associate on the CONSULT (Collaborative Mobile Decision Support for Managing Multiple Morbidities), an EPSRC funded project in the Department of Informatics in King’s College London. This project developed a collaborative mobile decision-support system to help patients suffering from chronic diseases to self-manage their treatment, by bringing together and reasoning with wellbeing sensor data, clinical guidelines and patient data. Prior to that Isabel was Teaching Fellow in the Department of Informatics in King’s College London, primarily on the Data Science MSc. Isabel's research interests are in data-driven automated reasoning, and its transparency and explainability. Her PhD research developed a computational argumentation based system to support the appropriate selection of statistical model given a research objective and available data. Her current research continues to explore how computational argumentation can assist in model explainability and trust. Prior to joining King's College London Isabel worked for more than 10 years as a data science consultant in industry, including 8 years in SAS UK. Isabel read Statistics, Operations Research and Economics at Tel Aviv University and received her Ph.D. in Informatics from King's College London. Isabel is a fellow of the Royal Statistical Society and Editorial Board Member of Real World Data Science, Data Science Explainable AI Computational Argumentation Health Informatics
Hone
professor kate hone is head of department in the department of computer science at brunel university london, uk. she received the b.a. degree in experimental psychology in 1990 from the university of oxford, uk, and the m.sc. degree in work design and ergonomics in 1992, and the ph.d. degree in human computer interaction in 1996, both from the university of birmingham, uk. from 1995 to 2000 she held teaching and research appointments at the university of nottingham, uk, first in psychology and subsequently as lecturer in computer science. she joined brunel as a lecturer in 2000 and from 2009-2018 held the post of director the graduate school. she has published widely, including articles in the international journal of human computer studies, interacting with computers, behaviour and information technology, applied ergonomics and ergonomics. research interests include spoken dialogue systems, affective computing, health informatics and intelligent data analysis. module leader for cs3009 human computer interaction (level 3 ug optional module) fyp supervision contributor to research methods training in department of computer science
![Professor Kate Hone]()
Professor Kate Hone
Professor Kate Hone is Head of Department in the Department of Computer Science at Brunel University London, UK. She received the B.A. degree in Experimental Psychology in 1990 from the University of Oxford, UK, and the M.Sc. degree in Work Design and Ergonomics in 1992, and the Ph.D. degree in Human Computer Interaction in 1996, both from the University of Birmingham, UK. From 1995 to 2000 she held teaching and research appointments at the University of Nottingham, UK, first in Psychology and subsequently as lecturer in Computer Science. She joined Brunel as a lecturer in 2000 and from 2009-2018 held the post of Director the Graduate School. She has published widely, including articles in the International Journal of Human Computer Studies, Interacting with Computers, Behaviour and Information Technology, Applied Ergonomics and Ergonomics. Research interests include spoken dialogue systems, affective computing, health informatics and intelligent data analysis. Module leader for CS3009 Human Computer Interaction (Level 3 UG optional module) FYP supervision Contributor to Research Methods training in Department of Computer Science
Otermans
i am a reader (education) in psychology in the division of psychology. i am the employability lead for the collegef of health, medicine and life science, and also the director of the education hub. my research focuses on using ai in education, authentic assessments, and employability & transferable skills. i teach in the psychology ug programme a variety of blocks focusing on academic and employability skills, and research methods. my research focuses on different aspects of teaching and learning in higher education (he). my specific focus is on ai in education, authentic assessments, and employability & transerable skills. my projects use both quantitative and qualitative methods. ai in education authentic assessments currently, i teach in the psychology ug programme the following blocks: employability in psychology (year 1 module) advanced academic skills for psychology (year 2 module) qualitative research methods (year 2 module)
![Dr Pauldy Otermans]()
Dr Pauldy Otermans
I am a Reader (Education) in Psychology in the Division of Psychology. I am the Employability Lead for the Collegef of Health, Medicine and Life Science, and also the Director of the Education Hub. My research focuses on using AI in Education, Authentic Assessments, and Employability & Transferable skills. I teach in the Psychology UG Programme a variety of blocks focusing on academic and employability skills, and research methods. My research focuses on different aspects of teaching and learning in Higher Education (HE). My specific focus is on AI in Education, Authentic Assessments, and Employability & Transerable Skills. My projects use both quantitative and qualitative methods. AI in Education Authentic Assessments Currently, I teach in the Psychology UG Programme the following blocks: Employability in Psychology (Year 1 module) Advanced Academic Skills for Psychology (Year 2 module) Qualitative Research Methods (Year 2 module)
Sam
dr steven sam (phd, fhea) is an academic and researcher, focusing on computing for social good, data ethics and responsible ai, icts in society and human-computer interaction (hci). he earned his phd from the university of queensland (australia), receiving the uq outstanding higher degree by research theses dean’s award in 2016. as the founder and co-leader of computer science for social good, he has led an interdisciplinary team dedicated to addressing societal challenges through research, innovation, and capacity-building. his work centres on advancing social and context-aware technology that addresses real-world issues and enhances positive societal impact. steven has collaborated with academic institutions, industry partners, development agencies, and government bodies on innovative research projects in healthcare, agriculture, food systems and education particularly in africa. in addition to his academic role, steven is an experienced consultant, guiding organisations in the ethical design and deployment of responsible ai and data-driven technologies. his expertise spans ethical assessments, risk mitigation, compliance and regulation, responsible design, policy development and stakeholder training. he combines theory, practical experience and human-centred approaches to help clients create ai and data strategies that drive innovation, respect public trust and protect individual rights, guiding organisations through the ethical challenges of new technologies. steven’s research interests relate to the following: computing for social good (including ai for social good) sustainable hci (shci) and hci for development (hci4d) digital divide and mobile and computer-based ict4d data-driven solutions to sustainable development goals social implications of new and emerging technologies (e.g. mobiles, ai, social media, automation, etc.) on organisations, society and people. ethics and governance of digital systems (in particular responsible ai) ethnography, user-centred and participatory design methodologies module leader ethics and governance of digital systems (cs5705) supporting taught modules human computer interaction (cs3009) icts in society (cs2007) usability engineering (cs2003) computer science – business computing final year project (cs3702 – cs3605) work placement (cs2555) year 2 group project (cs2001) msc dissertation supervision (cs5500) crop yield production with machine learning: leveraging environmental and economic factors for crop yield production prediction - 2024 (completed) predictive analysis of club progression in the premier league - 2024 (completed) e-commerce demand forecasting using machine learning methods - 2024 (completed) crop recommendation with machine learning: leveraging environmental and economic factors for optimal crop selection -2023 (completed) using advanced machine learning models and explanation methods to predict and identify the greatest risk factors leading to preterm births - 2023 (completed) analyzing the effectiveness of natural language processing techniques for sentiment analysis in social media data-2023 (completed) designing emotionally engaging gamification to enhance user satisfaction and experience -2023 (completed) academic failure prevention: a study on performance prediction models - 2023 (completed) analysis and prediction of road accident severity using machine learning - 2022 (completed) diagnosis of facial diseases using deep learning methods (completed) - 2022 (completed)
![Dr Steven Sam]()
Dr Steven Sam
Dr Steven Sam (PhD, FHEA) is an academic and researcher, focusing on computing for social good, data ethics and responsible AI, ICTs in society and Human-Computer Interaction (HCI). He earned his PhD from the University of Queensland (Australia), receiving the UQ Outstanding Higher Degree by Research Theses Dean’s Award in 2016. As the founder and co-leader of Computer Science for Social Good, he has led an interdisciplinary team dedicated to addressing societal challenges through research, innovation, and capacity-building. His work centres on advancing social and context-aware technology that addresses real-world issues and enhances positive societal impact. Steven has collaborated with academic institutions, industry partners, development agencies, and government bodies on innovative research projects in healthcare, agriculture, food systems and education particularly in Africa. In addition to his academic role, Steven is an experienced consultant, guiding organisations in the ethical design and deployment of responsible AI and data-driven technologies. His expertise spans ethical assessments, risk mitigation, compliance and regulation, responsible design, policy development and stakeholder training. He combines theory, practical experience and human-centred approaches to help clients create AI and data strategies that drive innovation, respect public trust and protect individual rights, guiding organisations through the ethical challenges of new technologies. Steven’s research interests relate to the following: Computing for social good (including AI for social good) Sustainable HCI (SHCI) and HCI for Development (HCI4D) Digital divide and mobile and computer-based ICT4D Data-driven solutions to sustainable development goals Social implications of new and emerging technologies (e.g. mobiles, AI, social media, automation, etc.) on organisations, society and people. Ethics and governance of digital systems (in particular Responsible AI) Ethnography, user-centred and participatory design methodologies Module Leader Ethics and Governance of Digital Systems (CS5705) Supporting Taught Modules Human Computer Interaction (CS3009) ICTs in Society (CS2007) Usability Engineering (CS2003) Computer Science – Business Computing Final Year Project (CS3702 – CS3605) Work Placement (CS2555) Year 2 Group Project (CS2001) MSc Dissertation Supervision (CS5500) Crop Yield Production with Machine Learning: Leveraging Environmental and Economic Factors for Crop Yield Production Prediction - 2024 (Completed) Predictive Analysis of Club Progression in the Premier League - 2024 (Completed) E-commerce demand forecasting using machine learning methods - 2024 (Completed) Crop Recommendation with Machine Learning: Leveraging Environmental and Economic factors for Optimal Crop Selection -2023 (Completed) Using advanced machine learning models and explanation methods to predict and identify the greatest risk factors leading to Preterm Births - 2023 (Completed) Analyzing the Effectiveness of Natural Language Processing Techniques for Sentiment Analysis in Social Media Data-2023 (Completed) Designing Emotionally Engaging Gamification To Enhance User Satisfaction And Experience -2023 (Completed) Academic Failure Prevention: A Study on Performance Prediction Models - 2023 (Completed) Analysis and Prediction of Road Accident Severity using Machine Learning - 2022 (Completed) Diagnosis of Facial Diseases using Deep learning Methods (Completed) - 2022 (Completed)
Ibrahim
zear ibrahim is an associate lecturer in the department of computer science at brunel university london, where he also received his ph.d. and b.sc. respectively. prior to embarking on a fully funded epsrc doctoral training partnership in 2017, he worked as developer and analyst implementing oracle enterprise business solutions at the national physical laboratory. zear’s research focuses on exploiting recent developments in the open-sourced 3d/ar/ir structure sensor research domain to enable accurate, efficient and non-invasive assistive technologies for health care provision in older-adults. additionally, zear also has lecturing experience on a number of undergraduate modules, which are primarily focused on the programming fundamentals. my research lies in the area of deploying open-sourced computer-vision (opencv) technologies through ubiquitous mobile devices to enable accurate, efficient and non-invasive health-care assistive technologies with older-adults. i focus on investigating and conceptualising current and prominent health-care provision methodologies aligned with the state of the art in cmrt as a tool that may better enable the digitization of manual or paper based methods in health-care provision, assistive technologies for health care provision in occupational therapy computer mediated reality technologies (cmrt) computer vision theory & algorithms with special interest in mobile depth sensing and motion tracking devices convolutional neural networks convolution masks & difference operators geometric 2d and 3d image interpolation object detection, measurement, feature map extraction & classification biometric student engagement & attendance with special interest in supporting all levels of pedagogy natural language processing cnn & hgo based face recognition voice analysis & degradation open authentication standards (fido) publications: ibrahim, z. and money, a. (2019) 'computer mediated reality technologies: a conceptual framework and survey of the state of the art in healthcare intervention'. journal of biomedical informatics, 90, 103102, pp. 1 - 22. doi: 10.1016/j.jbi.2019.103102. current cs1701: group project (2022-2023) cs1702: group project (2022-2023) cs3072: final year project (2022-2023) cs2555: placement (2022-2023) cs5500: msc dissertation (2022-2023) cs5703: data visualisation (2022-2023) sas base course: certification & training (2022-2023) previous cs1701: group project (2021-2022) cs1702: introductory programming (2021-2022) cs2001: group project (2017-2019) cs2004: algorrithms and their applications (2017-2019) cs1701: group project (2017-2019) cs1702: introductory programming (2017-2019) cs1803: group project reflection (2017-2019) cs1804: fundamental programming assessment (2017-2019)
![Dr Zear Ibrahim]()
Dr Zear Ibrahim
Zear Ibrahim is an associate lecturer in the Department of Computer Science at Brunel University London, where he also received his Ph.D. and B.Sc. respectively. Prior to embarking on a fully funded EPSRC Doctoral Training Partnership in 2017, he worked as developer and analyst implementing Oracle Enterprise Business solutions at the National Physical Laboratory. Zear’s research focuses on exploiting recent developments in the open-sourced 3D/AR/IR structure sensor research domain to enable accurate, efficient and non-invasive Assistive Technologies for Health Care Provision in older-adults. Additionally, Zear also has lecturing experience on a number of undergraduate modules, which are primarily focused on the programming fundamentals. My research lies in the area of deploying Open-Sourced Computer-Vision (OpenCV) technologies through ubiquitous mobile devices to enable accurate, efficient and non-invasive health-care assistive technologies with older-adults. I focus on investigating and conceptualising current and prominent health-care provision methodologies aligned with the state of the art in CMRT as a tool that may better enable the digitization of manual or paper based methods in health-care provision, Assistive Technologies for Health Care Provision in Occupational Therapy Computer Mediated Reality Technologies (CMRT) Computer Vision Theory & Algorithms with special interest in Mobile Depth Sensing and Motion Tracking Devices Convolutional Neural Networks Convolution Masks & Difference Operators Geometric 2D and 3D Image Interpolation Object Detection, Measurement, Feature Map Extraction & Classification Biometric Student Engagement & Attendance with special interest in Supporting all levels of pedagogy Natural Language Processing CNN & HGO Based Face Recognition Voice Analysis & Degradation Open Authentication Standards (FIDO) Publications: Ibrahim, Z. and Money, A. (2019) 'Computer Mediated Reality Technologies: A Conceptual Framework and Survey of the State of the Art in Healthcare Intervention'. Journal of Biomedical Informatics, 90, 103102, pp. 1 - 22. doi: 10.1016/j.jbi.2019.103102. Current CS1701: Group Project (2022-2023) CS1702: Group Project (2022-2023) CS3072: Final Year Project (2022-2023) CS2555: Placement (2022-2023) CS5500: MSc Dissertation (2022-2023) CS5703: Data Visualisation (2022-2023) SAS Base Course: Certification & Training (2022-2023) Previous CS1701: Group Project (2021-2022) CS1702: Introductory Programming (2021-2022) CS2001: Group Project (2017-2019) CS2004: Algorrithms and their Applications (2017-2019) CS1701: Group Project (2017-2019) CS1702: Introductory Programming (2017-2019) CS1803: Group Project Reflection (2017-2019) CS1804: Fundamental Programming Assessment (2017-2019)