جست‌وجوی استاد و پژوهشگر

Aritad Choicharoonمشاهده پروفایل

مدرس ارشد

• Applied Data Science
• Natural Language Processing
• Multi-Criteria Decision Analysis
• +۱۴ مورد دیگر

Aritad (Alan) Choicharoon is a Senior Lecturer in Business Analytics at Leeds University Business School, University of Leeds, and a member of the Centre for Decision Research (CDR). He has been actively involved in teaching and research since 2020, focusing on quantitative modeling, analytics, and data visualization. Position: Senior Lecturer in Business Analytics Institution: University of Leeds School: Leeds University Business School Research Centre: Centre for Decision Research (CDR) Email: A.Choicharoon@leeds.ac.uk His research centers on the intersection of artificial intelligence and decision support systems, particularly the application of large language models in complex decision-making processes. He explores applied data science in business contexts, including marketing analytics, consultancy, and the integration of machine learning and decision science in the music industry. His work emphasizes interpretable and explainable AI, human interaction with decision support systems, and the role of such systems in managerial decision-making. Although no recent publications are listed in the provided text, his involvement in a UKRI-approved Knowledge Transfer Partnership (KTP) project with SR Mailing Ltd and colleagues from CDR indicates active research with real-world impact, particularly in applying AI and LLMs to improve sustainability in business operations. He has been recognized for his teaching contributions, having designed and led the fast-growing postgraduate module Creating Effective Data Visualisation (LUBS5991M) . He also leads Business Analytics and Decision Science (LUBS5308M) and has contributed to other modules such as Forecasting and Advanced Business Analytics and Machine Learning in Practice . Certified Analytics Professional (CAP) Fellow of the Higher Education Academy Certified Management & Business Educator Member of the Operational Research Society His educational background includes a BEng in Aerospace Engineering and an MSc in Business Analytics and Decision Science. Prior to academia, he worked as a data scientist in an international e-commerce platform and as a researcher at a top-3 music label, applying AI in talent scouting. He is actively engaged in the data science community and shares insights on data, technology, F1, and politics via social media. He is also a Professional Development Tutor for the MSc Business Analytics and Decision Science program and collaborates with interdisciplinary teams at the University of Leeds, including through the Leeds Institute for Data Analytics (LIDA) and the Centre for Decision Research.

Louise Hoggمشاهده پروفایل

مدرس

• Business Analytics
• Decision Science
• Data Visualization
• +۵ مورد دیگر

Louise Hogg is a Lecturer in Business Analytics at Leeds University Business School, University of Leeds, where she has been contributing since 2019. Her work bridges analytical methods and business decision-making, with a strong focus on data visualization and structured decision frameworks. Her educational background includes a PhD in Neuroscience from the University of Bristol and an MRes in Neuroscience from Newcastle University. These foundational experiences in data-intensive biomedical research informed her transition into business analytics. PhD in Neuroscience, University of Bristol MRes in Neuroscience, Newcastle University Louise's research interests center on enhancing decision-making through analytical rigor and effective visual communication. She explores how the brain processes complex information and applies these insights to design optimal data visualizations. Her work emphasizes practical applications of Multi-Criteria Decision Analysis (MCDA) in business contexts, aiming to improve strategic and operational decisions. She has authored the textbook Smart Decisions: A Structured Approach to Decision Analysis Using MCDA , which provides actionable strategies for informed decision-making across professional and academic settings. Louise teaches several key modules at both undergraduate and postgraduate levels, including Visualising and Analysing Data Effectively (LUBS2021) , Evidence Based Consultancy , Business Analytics and Decision Science (LUBS5308M) , Forecasting and Advanced Business Analytics (LUBS5309M) , and supervises the Business Analytics and Decision Science Dissertation (LUBS5579M) . She is affiliated with the Centre for Decision Research and holds a Fellowship from the Higher Education Academy, recognizing her commitment to excellence in teaching. While no specific scientific awards or research grants are listed, her integration of cognitive science with business analytics represents a unique interdisciplinary contribution. Louise advises on student dissertations within her domain, particularly in business analytics, though no named students are listed. Her research outputs are not detailed in the provided text, but her teaching and textbook suggest a strong emphasis on applied analytics and pedagogical innovation.

• Thermodynamics
• Heat Transfer
• Microfluidics
• +۱۲ مورد دیگر

Sjouke Schekman is a Lecturer in the School of Mechanical, Industrial & Aeronautical Engineering at the University of the Witwatersrand, South Africa. His work focuses on experimental and computational thermal-fluid systems, particularly in advanced cooling technologies. His research interests include thermodynamics, microfluidics, jet impingement, pin-fins, turbine blade cooling, flow visualization, Particle Image Velocimetry (PIV), and aerospace design. These areas reflect a strong emphasis on improving thermal management in both aerospace and electronic systems. The recent publications demonstrate a consistent research trajectory in enhancing convective heat transfer through innovative geometries and flow configurations, especially in microchannels and impingement cooling systems. His work bridges fundamental fluid dynamics with applied engineering solutions for high-heat-flux environments. He has not been publicly associated with any scientific awards based on available information. Dr. Schekman advises students in mechanical and aerospace engineering topics, though a formal list of advisees is not available. There is no mention of external grants or funding sources in the provided text. His research likely involves laboratory-based experimental work, potentially including flow visualization and PIV techniques, though specific lab names or team structures are not disclosed.

John Hindmarchمشاهده پروفایل

پژوهشگر

• 3D Digitization
• Cultural Heritage Conservation
• Photogrammetry
• +۳ مورد دیگر

John Hindmarch is a Researcher at the University of Bamberg's Chair of Digital Heritage Technologies, specializing in 3D digitization for cultural heritage. He holds an Engineering Doctorate (EngD) from UCL Centre for Virtual Environments, Interaction and Visualisation (2016), an MRes in Virtual Environments (2011), and a philosophical foundation from Cambridge (1995). Formerly a lecturer at University College London (2011-2017), he has contributed to digital documentation projects at institutions like the Science Museum and Courtauld Institute. PhD: 3D Digitization for Cultural Heritage (UCL, 2016) MRes: Virtual Environments, Imaging and Visualisation (UCL, 2011) MA: Electronic Communication and Publishing (UCL, 2010) BA: Philosophy (Cambridge, 1995) His research focuses on multimodal 3D imaging workflows, photogrammetry accuracy, and digital documentation of baroque architecture. Recent work explores digital auras of heritage objects and open data ontologies for cultural institutions. Hindmarch has led projects like VirScan3D and Corpus der barocken Deckenmalerei in Deutschland , integrating 3D technologies into educational frameworks. Key publications span 3D ceiling painting analysis, sensing tool selection for monuments, and digital pedagogy in Germany's unique M.Sc. program in Digital Heritage Technologies. He collaborates with Mona Hess and Matteo Burioni on spatial documentation systems and historical reconstruction.

Jamie Twycrossمشاهده پروفایل

دانشیار

• computational and mathematical modelling
• machine learning and artificial intelligence
• data analytics and visualisation
• +۱۱ مورد دیگر

Dr. Jamie Twycross is an Associate Professor in the School of Computer Science at the University of Nottingham. He leads the Intelligent Modelling and Analysis Group and serves as the Modelling Group lead in the Synthetic Biology Research Centre. His work bridges computer science with biological sciences, focusing on interdisciplinary applications of AI to solve complex biological problems. His research spans computational and mathematical modeling, machine learning, data analytics, and software engineering. Key areas include computational biology, synthetic biology, systems biology, systems medicine, sustainable chemistry, artificial life, biologically-inspired computing, artificial immune systems, computer security, and robotics. He has developed computational approaches to address real-world biological challenges, with particular emphasis on modeling complex biological systems. Dr. Twycross's publications reveal a strong trend toward interdisciplinary research that integrates computational methods with biological applications. His recent work demonstrates expertise in metabolic modeling, synthetic biology tools development, machine learning applications in bioinformatics, and sustainable chemistry software solutions. His research consistently addresses complex problems at the intersection of computer science and life sciences. Discipline External Examiner, Computer Science, Northeastern University London (2023-2027) Panel Member, UKRI Interdisciplinary Assessment College (2023-2025) Quality Assessor, Office for Students (OfS) (2023-2027) Member of Pool of Experts, Biotechnology and Biological Sciences Research Council (BBSRC) (2023-2026) Dr. Twycross has supervised an extensive number of students across multiple levels, including 4 postdocs, 14 PhD students, 1 M.Phil student, 21 M.Sc. dissertation students, and 21 B.Sc. dissertation students. His grant portfolio includes funding from national and international agencies, reflecting the significance and impact of his interdisciplinary research. He has also served on numerous grant review panels for UKRI, BBSRC, EPSRC, and other major funding organizations. As group lead of the Intelligent Modelling and Analysis Group and the Modelling Group in the Synthetic Biology Research Centre, Dr. Twycross directs research teams focused on developing computational approaches to address hard, real-world biological problems. His team's work includes developing software tools like libtissue for implementing artificial immune systems, as well as contributing to significant advancements in metabolic modeling and synthetic biology applications.

Eileen Alexanderمشاهده پروفایل

پژوهشگر ارشد

• Qualitative methods
• Creative and visual methods
• Living on a low-income
• +۷ مورد دیگر

Eileen Alexander is a Research Fellow and CASE Associate at the London School of Economics and Political Science (LSE), affiliated with the Department of Methodology and Social Policy. Her work focuses on using creative and collaborative methods to explore lived experiences of inequality, insecurity, and informal welfare practices. Research interests: Qualitative methods, Creative/Visual methods, Research ethics, Informal welfare, Care ethics, Poverty studies Teaching: Convenes an MY580 short course on creative methods (to be offered in 2025); recipient of teaching accolades from LSE Student Union and LSE Class Teacher award Her research emphasizes engaging vulnerable populations in coproduction, with projects like Why are things this way? Visualising life in post-austerity Britain (2024) and her PhD thesis The Ultimate Safety Net? Informal financial support among low-income households (2022) . She has contributed to understanding multidimensional poverty, welfare policies, and the impacts of austerity measures in the UK.

• Data communications
• Spatial data and applications
• Geoscience data visualisation
• +۹ مورد دیگر

Dr. Bonnie Boyana Buyuklieva is a Lecturer in Data Science for Society at University College London's Department of Information Studies. With a background in architecture and computation, including professional experience at Foster and Partners and academic work at Bauhaus University Weimar, she holds a PhD from the Bartlett Centre for Advanced Spatial Analysis (CASA, UCL). Her educational background includes: PhD from the Bartlett Centre for Advanced Spatial Analysis (CASA, UCL) Studies at Bauhaus University Weimar Professional experience at Foster and Partners Dr. Buyuklieva's research focuses on the intersection of the built environment and population studies through computational methods. Her interests span sustainability, data for policy, and household health outcomes, with particular emphasis on women's health. She applies spatial data analysis and visualization techniques to understand urban and regional planning challenges, population geography, and geoscience applications. Her work connects computational approaches with real-world societal issues, particularly in the domains of housing, energy efficiency, and urban sustainability. Her recent publications demonstrate a strong focus on urban sustainability challenges, housing markets, and energy transitions. She has published extensively on residential infrastructure, net-zero transitions, and advanced spatial analysis methods like Geographically Weighted Regression. Her research shows consistent interdisciplinary work bridging technical methods with social science questions, particularly examining spatial patterns in energy efficiency, housing markets, and demographic changes. Dr. Buyuklieva has received recognition through professional fellowships: Fellow of the Higher Education Academy (FHEA) Fellow of the Royal Geographical Society (FRGS) With nearly a decade of teaching experience across Russell Group universities, Dr. Buyuklieva has taught modules to groups ranging from one-on-one supervision to cohorts of 120 students. She has served as Department Course Director for UCL's BSc in Information Studies and currently leads the 'Internet Technologies' module. Her pedagogical approach emphasizes creating 'a safe environment of rigour and refuge where students and collaborators can be met 'where they are'', focusing on individual development and leveraging technology to scale personalized learning experiences. Dr. Buyuklieva's work connects with the UN Sustainable Development Goals, particularly Good Health and Well-Being (SDG 3), Sustainable Cities and Communities (SDG 11), and Life on Land (SDG 15), demonstrating her commitment to research with tangible societal impact.

• Computational agroecology
• Software Engineering
• Human-computer interaction
• +۷ مورد دیگر

Stuart Charters is an Associate Professor at the School of Landscape Architecture, Lincoln University, New Zealand. His academic career spans research and teaching in computational agroecology, human-computer interaction, and software engineering. He serves as the Programme Director for the Master of Applied Computing and was previously seconded to be the Director of SIGNAL ICT Graduate School. Currently, he holds the position of Director of the Centre for Geospatial and Computing Technologies at Lincoln University. Dr. Charters holds a PhD and BSc (Hons) from the University of Durham, United Kingdom. His educational background provides a strong foundation for his interdisciplinary research that bridges technology, agriculture, and ecology, with applications in landscape architecture and sustainable agricultural systems. Charters' research focuses on the intersection of technology, agriculture and ecology, which he terms 'computational agroecology,' and on human aspects of computing including Software Engineering, Visualisation and eResearch. His work investigates how humans engage and interact with technology, with emphasis on both the design and deployment of environmental and agricultural technology, data presentation for consumption, and processes around human engagement. He particularly emphasizes that 'the ability for people to effectively engage with technology and interpret data is essential for technology adoption and effective data based decision-making.' His work in Evidence based Software Engineering aims to improve research reporting quality and provide methods to assess research evidence impact on practice or policy. His recent publications reveal a strong interdisciplinary focus spanning computational agroecology, IoT security, digital tools for landscape planning, and human-computer interaction in agricultural contexts. His work frequently employs geospatial modeling, multi-agent systems, and visualization techniques to address challenges in sustainable agriculture, landscape management, and technology adoption. A notable trend is his increasing focus on integrating ecological health with technological solutions in agricultural settings, particularly in New Zealand high-country environments. Charters actively supervises postgraduate research across diverse areas including neural networks for agricultural vehicles, IoT trust systems, technology's impact on elderly quality of life, and agile software development. His teaching includes directing the Master of Applied Computing program, which helps people transition into tech careers from any degree background. He has examined numerous courses including Industry Project COMP693 and Research Essay COMP698. He maintains an active international research network, collaborating with colleagues in New Zealand, Australia, and the UK. His ORCID identifier is 0000-0002-1560-0805, and he is available for collaborative projects, industry engagement, and student supervision in Masters and PhD programs.

• Human-computer interaction
• Virtual reality
• Software engineering

Dr. Jeroen CEYSSENS serves as a Researcher at Hasselt University within the Faculty of Sciences , specifically embedded in the Capacity group Computer Sciences . His institutional home is the Expertisecentrum voor Digitale Media (EDM) on Campus Diepenbeek, where he maintains dual affiliations with the Applied Computer Science Lab and Digital Future Lab . His research program centers on Human-computer interaction , Virtual reality systems , and Software engineering methodologies. This interdisciplinary focus drives practical innovations in augmented reality interfaces, particularly for industrial applications as demonstrated in his AR Cleaning Tool project. Academically, Dr. CEYSSENS contributes as a core instructor for Information Visualisation (course 2185) through 2026, bridging theoretical concepts with real-world data representation challenges. His current research portfolio includes the completed Market exploration of AR Cleaning Tool initiative (2022-2023), which assessed commercial implementation pathways for AR maintenance solutions. Available for consultation at Office EDM-1.09 , he is accessible via university phone ( +3211268421 ) with institutional email access facilitated through Hasselt University's internal systems.

• Computer Vision
• Big Data Analytics
• Generative AI in Education
• +۲ مورد دیگر

Dr. Kaveh Kiani is a faculty member at the University of Salford's School of Science, Engineering & Environment, with a primary affiliation to the Informatics Research Centre. His academic profile demonstrates expertise spanning both theoretical statistics and practical AI applications across multiple industries. Doctoral degree in Applied Statistics Master's degree in Data Science Postgraduate Certificate in Academic Practice (PGCAP) Fellow of the Higher Education Academy (FHEA) Dr. Kiani's research focuses on computer vision, big data analytics, generative AI applications in education, and survival analysis. His work bridges statistical theory with practical implementations, particularly evident in medical AI applications for respiratory disease detection, skin cancer diagnosis, and prostate cancer research. His industry experience informs his approach to solving real-world problems in healthcare, construction sustainability, and financial services. His recent publications (2023-2025) demonstrate strong activity in applying deep learning techniques to medical imaging and developing novel frameworks for industry-specific challenges. The research shows a clear trajectory toward increasingly sophisticated AI applications with practical impact. Fellow of the Higher Education Academy (FHEA) awarded by Advance HE Endorsed by The Royal Academy of Engineering as a Global Talent in Data Science Dr. Kiani actively supervises PhD students and teaches across multiple postgraduate programs including MSc Data Science, MSc Artificial Intelligence, and MSc Internet of Things with Data Science. His teaching modules cover Big Data Tools and Techniques and Applied Statistics and Data Visualisation, reflecting his dual expertise in both theoretical foundations and practical applications of data science.

• Dark Knowledge
• Knowledge Management
• Information Management
• +۷ مورد دیگر

Professor Simon Burnett is a Professor of Information Management in the School of Law and Social Sciences at Robert Gordon University (RGU). With a career spanning both academia and industry, he brings practical experience to his academic role. Prior to joining RGU, he worked in the private sector designing and implementing online information systems. He has held significant leadership positions including Director of the RGU Centre for Knowledge Management (2000-2008) and Associate Director (External) of the Scottish Graduate School of Social Science (2013-2016). Professor Burnett's educational background includes: PhD in "Knowing through Narratives" MSc in Information Analysis (1993-1994) Bachelor's Degree in Librarianship and Information Studies (1989-1993, Robert Gordon University) Professor Burnett's research focuses on Dark Knowledge , Knowledge Management, Information Management, Storytelling/Narrative, Knowledge-based Processes, Communities of Practice, Innovation Management, Social Media in Political and Policing Contexts, Information visualisation, and Digital Curation. His work explores forbidden and taboo aspects of knowledge, particularly how organizations handle information that is uncomfortable or politically sensitive. He has pioneered research on "desire lines" across information landscapes and examines how narratives function in knowledge sharing processes. His publication record shows a consistent output with 52 research outputs including 24 journal articles, 14 theses, and 9 conference presentations. Recent work (2023-2025) demonstrates growing interest in Dark Knowledge, with several publications exploring its theoretical foundations and practical implications. His research spans multiple disciplines including information science, knowledge management, social media studies, and organizational behavior, often with a focus on practical applications in industry contexts. Professor Burnett has received notable recognition including: A Knowledge Transfer Partnership (KTP) with Dean's of Huntly (2020) Funding from the Leverhulme Trust for a systematic literature review on Dark Knowledge (2024) Professor Burnett is an active supervisor with 16 doctoral students currently under his guidance across various programs. He has supervised over a dozen students to completion and serves as an external examiner for multiple universities. His research is well-funded with current projects including the Leverhulme Trust grant and an industry collaboration on digital strategy implementation. As former Director of the RGU Centre for Knowledge Management (2000-2008), Professor Burnett led a team providing knowledge management research and consultancy services to high-profile clients including the United Nations, BP, and the NHS. His current research group continues to explore cutting-edge topics in knowledge management, particularly focusing on Dark Knowledge and its implications for organizations. The group maintains strong industry connections and collaborates on practical applications of knowledge management theory.

Baki Kocaballiمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Digital Health
• Interaction Design
• +۵ مورد دیگر

Baki Kocaballi serves as a Senior Lecturer at the School of Computer Science within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS), a position held since May 2020. He concurrently maintains an Honorary Research Fellow appointment at Macquarie University since the same date. His academic foundation includes a PhD in Interaction Design from the University of Sydney, completed in 2013. His research critically examines the convergence of artificial intelligence, digital health, and interaction design, with particular emphasis on multimodal and conversational systems. This interdisciplinary work manifests through projects like the Activating the Everyday Research Program and investigations into spatial collective intelligence developed with UNSW colleagues through the Smart Cities Research Cluster. His methodological approach integrates topological thinking—a conceptual framework he actively develops through dedicated research blogging—to challenge conventional spatial and relational assumptions in design. Analysis of his recent publications reveals dominant trends in healthcare AI applications, particularly conversational agents for clinical settings, digital scribes for documentation reduction, and context-aware systems for chronic disease management. These works consistently bridge technical AI development with human-centered design principles, reflecting his core commitment to usable and trustworthy digital health solutions. Best DC Paper Award at European Conference of Cognitive Ergonomics Doctoral Consortium (2010) Best Poster Award at Research Expo'09, University of Sydney (2009) His teaching portfolio includes advanced subjects in Design Thinking (2015-2017), Installation Studio (2012), and the Interdisciplinary Design Lab (2011), where he emphasizes human-centered methodologies, sensor-based interactive environments, and real-world problem solving. He actively supervises Masters and PhD research while collaborating across institutions through the Visualisation Institute Research Network and Trustworthy Digital Society initiatives. His artistic practice in photography and video complements his academic work, with exhibitions including the MAMA Art Foundation National Photography Prize and multiple international screenings.

• Data visualisation
• Visual Analytics
• Information Visualisation
• +۴ مورد دیگر

Christy Jie Liang is an Associate Professor at the School of Computer Science, University of Technology Sydney (UTS), where she leads the Data Visualisation Research Lab in the Visualisation Institute. With extensive experience in both academic and industry settings, including appointments at IBM and Peking University, she has established herself as a leading researcher in data visualization and visual analytics. Dr. Liang earned her PhD in Data Visual Analytics from UTS, where she was awarded the University Medal with First Class Honours. Her educational background includes a Bachelor of Information Technology (First Class Honours) also from UTS. Professor Liang's research focuses on data visualization and visual analytics, with particular emphasis on information visualization, narrative visualization, and the application of these techniques to real-world problems. Her work spans multiple domains including finance, food safety, biomedical applications, smart cities, and social media. She has developed novel visualization techniques and owns five intellectual properties in this field. Her recent publications demonstrate a clear trajectory toward more sophisticated visualization techniques that integrate machine learning, with increasing focus on narrative visualization, user engagement across demographics, and practical applications in domains such as public health and education. The interdisciplinary nature of her work is evident in collaborations across computer science, behavioral science, and domain-specific applications. Dr. Liang has received significant recognition for her work, including: University Medal with First Class Honours from UTS Capital Markets CRC Honours scholarship Australian Postgraduate Awards As an educator, Professor Liang coordinates core subjects for Bachelor of Information Technology, Bachelor of Computer Science with Honours, Master of Interaction Design, and Master of Business Analytics programs. She has recently developed enterprise learning courses including short courses and micro-credentials in data visualization education. Her leadership extends to service roles as associate editor for JVLC and Journal Visual Informatics, program committee member for numerous conferences, and advisory board member for the Australian Computer Society and Peking University Medical Visualization Centre. Professor Liang leads the Data Visualisation Research Lab, which focuses on developing innovative visualization techniques and applying them to real-world problems. The lab maintains strong industry connections, with collaborations spanning government agencies, academic institutions, and commercial enterprises across multiple continents.

• Information Visualisation
• Usability
• Web Engineering
• +۳ مورد دیگر

Veit Simon Stephan serves as a Lecturer at the Faculty of Electrical Engineering, Media and Computer Science, Amberg-Weiden University of Applied Sciences, where he also holds administrative responsibilities. His academic profile combines engineering expertise with advanced research in data visualization and human-computer interaction. Dr. Stephan completed his doctoral research under Prof. Dr. Dieter Meiller, focusing on location-based visualization of complex relational data through food environment maps. His educational background includes a Doctorate and Master of Engineering degree, establishing a foundation in both theoretical and applied technical disciplines. His research spans critical domains in modern computing: Information Visualisation for complex datasets Usability engineering principles Web Engineering frameworks Information Retrieval systems Interactive Multimedia Systems design Human-Computer Interaction (HCI) methodologies Dr. Stephan's work emphasizes practical applications of visualization techniques to enhance user experience with spatial data, particularly through web-based interactive systems. His current contact is v.stephan@oth-aw.de .