جست‌وجوی استاد و پژوهشگر

Amanda Clareمشاهده پروفایل

مدرس ارشد

• Data Analysis
• Data Science
• Bioinformatics
• +۶ مورد دیگر

Amanda Clare is a Senior Lecturer in the Department of Computer Science at Aberystwyth University. She holds a PhD from Aberystwyth University and has expertise in data analysis, bioinformatics, and natural language processing. Her research focuses on genomic data interpretation, sequence analysis, and developing computational methods for addressing biological questions. Education: BA (Oxon) MSc (Edinburgh) PhD (Aberystwyth) Research Interests: Bioinformatics, sequence analysis, genomics, machine learning, time series analysis, and anomaly detection. She specializes in using algorithms and AI to analyze DNA/RNA sequences, microbial communities, and text data. Grants/Projects: 2023-2025: Intelligent Tools for Risk Monitoring (Dŵr Cymru Welsh Water) 2021-2022: Advanced Statistical Process Control for Water Treatment (Royal Academy of Engineering) 2018-2021: Intelligent Decision Support Systems for Water Quality Monitoring (Welsh European Funding Office) Key Collaborations: Collaborations with researchers in biology, computer science, and engineering, including projects on phenomics, genome-wide association studies, and automated laboratories. Awards/Recognition: Recognition for contributions to bioinformatics and AI applications, including media coverage for breakthroughs in animal infection detection and water quality monitoring.

• Railway Systems Engineering
• Vehicle-Track Interaction
• Robotics for Train Maintenance
• +۶ مورد دیگر

Gareth Tucker is a Professor of Railway Systems Engineering at the University of Huddersfield's School of Computing and Engineering, affiliated with the Institute of Railway Research (IRR). He holds an ERDF-funded Smart Rolling Stock Maintenance Research Facility (SRSMRF) and focuses on solving near-term railway engineering challenges such as derailment prevention, suspension design optimization, and robotics-driven maintenance. His expertise spans vehicle-track interaction, RCM, and AI-driven operational planning. Education: PhD in Railway Engineering from Imperial College London (2009), with research on reducing railway track lifecycle costs through management of tangential wheel-rail loading. Academic exchange at Tokyo Institute of Technology (2006-2007). Research Interests: Robotics in train maintenance, predictive maintenance scheduling, condition monitoring, rail safety (e.g., squats analysis), and European Standards development (CEN TC256 WG10 member). Recent work emphasizes ontology-based virtual depots and machine learning applications in maintenance optimization. Grants: European Regional Development Fund (ERDF) grant supporting SRSMRF facility establishment. Collaborations include industry partners across Network Rail, RSSB, and BSI standardization efforts. Labs: Manages the SRSMRF laboratory focusing on automation, robotics, and AI integration in maintenance workflows. Active in developing standards for vehicle-track interface safety through CEN/BSI committees.

František Vášaمشاهده پروفایل

مدرس

• Machine Learning
• Computational Neuroscience
• Neuroimaging
• +۶ مورد دیگر

František Váša is a Lecturer in Machine Learning and Computational Neuroscience at King's College London, based in the Department of Neuroimaging within the School of Neuroscience and the Institute of Psychiatry, Psychology & Neuroscience. His research focuses on developing quantitative methods for analyzing structural and functional brain imaging data, particularly using network science, machine learning, and deep learning techniques. Key areas include pre-processing and enhancement of ultra-low-field neuroimaging, null models for statistical inference in network neuroscience, and clinical applications of neuroimaging. He co-leads third-year modules on Machine Learning in Neuroscience and Computational Neuroscience for the BSc Neuroscience and Psychology program. His work emphasizes methodological rigor and translational impact, with recent contributions to super-resolution techniques for paediatric MRI and global neuroimaging initiatives like UNITY for low-resource settings. Collaborators include prominent figures such as Prof Robert Leech (King's College London), Prof Edward Bullmore (University of Cambridge), and Dr Bratislav Mišić (Montréal Neurological Institute). His research bridges theoretical frameworks with practical clinical applications, aiming to improve diagnostic tools and understand neurodevelopmental processes.

• Wireless Internetworking
• Middleware for Wireless Sensor Networks
• Packet Scheduling
• +۷ مورد دیگر

Xiang Fei is an Assistant Professor in the Department of Computing at Coventry University, affiliated with the CEES School of Science. He holds a PhD in Computer Science and Engineering from Southeast University China (1999), following BSc (1992) and MSc (1995) degrees from the same institution. His research focuses on wireless internetworking, middleware for wireless sensor networks (WSN), and packet scheduling, with applications in data center optimization, machine learning, and cyber security. Professional Experience: Prior to his current role, Fei worked on European IST projects (WINE, Euro6IX) and the EPSRC-funded PROSEN project. He joined Cogent as a Research Fellow in 2008. He actively participates in academic events, organizing conferences like SENSORCOMM (2009-2011) and the International Conference on Automation and Computing (2010-2011). Research Interests: His work spans network analysis (community detection, graph embeddings), data stream processing, and cross-domain applications such as music information retrieval for stock market analysis. He has published extensively in IEEE journals and conferences, with notable contributions to nonnegative matrix factorization techniques and deep learning approaches for network problems. Teaching & Mentoring: Currently accepting PhD students in computing-related fields. His research has been supported by industry collaborations and grant-funded projects, reflecting his expertise in both theoretical and applied computing domains.

Aiping Xuمشاهده پروفایل

استادیار

• Functional Data Analysis
• Statistical Learning
• Mathematics Education
• +۳ مورد دیگر

Aiping Xu serves as Assistant Professor Academic at Coventry University's Mathematics Support Centre (LIB), actively supervising PhD students while leading institutional mathematics education initiatives. Her research bridges advanced statistical methodology with practical educational applications across engineering, data science, and higher education contexts. Her academic foundation includes: Doctorate in Signal Processing and Telecommunication from Research Institute of Computer Science and Random Systems (awarded 2002) MSc in Operational Research and Control Theory from Shandong University (awarded 1998) Bachelor's degree in Mathematics from Shandong University (awarded 1995) Dr. Xu's research program demonstrates significant evolution from early work on nonlinear system fault diagnosis using adaptive observers (2001-2004) to contemporary expertise in functional data analysis, where she develops principal curve clustering methods and Gaussian process regression frameworks. Her fingerprint analysis confirms dominant specialization in Functional Data Mathematics (100%), Principal Curve Mathematics (100%), and Forecasting (100%), with strong contributions to mathematics education through support centre evaluations and mathematical modeling competitions. Recent publications (2017-2022) reveal a strategic pivot toward applying statistical learning in educational contexts, particularly through her leadership in Coventry University's Mathematics Support Centre. This work integrates machine learning techniques with pedagogical innovation to address student challenges in mathematical comprehension and application. As an active PhD supervisor, Dr. Xu contributes to academic development through the Mathematical Contest in Modelling and institutional support services. Her research outputs show consistent international collaboration, particularly with Newcastle University, spanning statistical methodology, educational practice, and interdisciplinary applications. The Mathematics Support Centre under her involvement operates as a critical academic infrastructure unit, providing cross-disciplinary mathematical assistance to students across Coventry University through structured tutoring, resource development, and pedagogical research initiatives.

Dingchang Zhengمشاهده پروفایل

استاد

• Healthcare Device Innovation
• Wearable Sensors
• Bio-signal Processing
• +۴ مورد دیگر

Dingchang Zheng is a Professor and Director of the Research Centre for Intelligent Healthcare. He specializes in medical device development, particularly in physiological measurements and bio-signal processing, with a focus on cardiovascular technologies, wearable devices, and IoT monitoring systems. His work addresses unmet clinical needs such as novel blood pressure measurement techniques and pre-term labor prediction. Education: PhD in Medical Physics from Newcastle University, UK. Research Interests: Healthcare device innovation, wearable sensors, bio-signal processing, computer modeling, and multidisciplinary collaboration across engineering, medicine, and industry. His work contributes to UN Sustainable Development Goals related to health and well-being. Awards: IPEM Martin Black Prize (2012) IET JA Lodge Award (2009) Grants & Projects: Principal Investigator on projects including: Development of a hearing aid IoT platform (2018–2020) Wearable respiratory rate device for infants (2018–2021) Uterine electrohysterogram system for preterm labor prediction (2016–2021) funded by the Bill & Melinda Gates Foundation Labs/Teams: Leads the Research Centre for Intelligent Healthcare, fostering international collaborations in China, Jordan, and Nigeria to advance healthcare technology adoption.

Jim Briggsمشاهده پروفایل

استاد

• Health Informatics
• Clinical Outcome Modelling
• Digital Wellbeing
• +۳ مورد دیگر

Jim Briggs is a Professor of Informatics and Associate Dean (Research) at the University of Portsmouth's Faculty of Technology, School of Computing. He leads the Centre for Healthcare Modelling and Informatics (CHMI), focusing on clinical outcome modelling and healthcare analytics. His research spans health informatics, telehealth, and computers in sport, with a strong emphasis on improving patient outcomes through data-driven approaches. Education: BA in Computer Science and Mathematics, DPhil in Computer Science from the University of York. His academic career includes roles at the University of York before joining Portsmouth in 1995. Research Interests: Clinical outcome modelling, digital wellbeing, telehealth, healthcare analytics, and sport computing applications. He has contributed to advancements in early warning scores for patient deterioration and vital signs monitoring protocols. Key Projects: Developed scoring systems like the Aggregate National Early Warning Score (NEWS) and contributed to studies on robotic-assisted surgery outcomes. His work has been published in high-impact journals and cited widely in policy and clinical guidelines. Labs/Teams: Director of the Centre for Healthcare Modelling and Informatics (CHMI), part of the Institute of Life Sciences and Healthcare. Collaborates with multidisciplinary teams on translational healthcare research.

Andree Woodcockمشاهده پروفایل

استاد

• Design
• Transport
• Gender
• +۹ مورد دیگر

Andree Woodcock is a Professor in Education, Ergonomics & Design at Coventry University, affiliated with the Research Centre for Arts, Memory and Communities. She holds a BSc in Psychology and Social Biology, an MSc in Ergonomics from UCL, and a PhD in Automotive Concept Design from Loughborough University, earned during her Daphne Jackson Research Fellowship. Her research focuses on applying systems-thinking and user-centred design principles to address 'wicked problems' in health, education, mobility, sustainability, and inclusivity. With over £15 million in grants since 1999, her projects include H2020 TInnGO (gender and transport), WEMOBILE (gender transport poverty), CIVITAS SUITS (sustainable mobility), and Frank Jackson Foundation-funded initiatives on empathic transport design. Key research outputs highlight collaborations across Europe, with a focus on gender-responsive innovation, multimodal transport systems, and inclusive design methodologies. She actively supervises PhD students and participates in conferences, peer-review, and editorial activities. H2020 TInnGO (2019-2021): Pan European Transport innovation Gender Observatory (£3 million) WEMOBILE (2018-2019): Women's transport poverty in Malaysia/Pakistan (£45K) CIVITAS SUITS (2016-2020): Sustainable mobility capacity-building (£4 million)

• Computer Vision
• Computer Graphics
• Machine Learning
• +۵ مورد دیگر

Dr. Anil Bas is a Research Fellow at Bournemouth University's Centre for Applied Creative Technologies (CfACTs), supported by the Marie Skłodowska-Curie Actions Postdoctoral Fellowship. His work bridges computer vision, graphics, and machine learning, with a focus on photorealistic 3D scene representations, digital avatars, and AI-driven creative projects. Prior to this, he served as an Assistant Professor and Deputy Head of Department at Marmara University, Istanbul. He holds a PhD in Computer Science from the University of York (2018), funded by the Turkish Higher Education Council. His research explores novel view synthesis, neural rendering, and generative AI applications in creative fields such as poetry and drama. Notable projects include Silwerwit in die soontoe , an AI-generated Afrikaans poetry book, and studies on AI's role in post-anthropocene performance art. He also investigates technical challenges in face reconstruction, vehicle routing optimization, and maker education. Dr. Bas has contributed to over 20 peer-reviewed publications since 2013, spanning journals like International Journal of Computer Vision and conferences such as ECAI. His work frequently addresses interdisciplinary topics, blending computational methods with cultural and creative applications. He is actively involved in grant-funded projects and maintains strong ties to industry through collaborative research. Awards: Marie Skłodowska-Curie Actions Postdoctoral Fellowship (202X). External affiliations include roles as an ORCID researcher and social media presence across LinkedIn, Twitter (@dranilbas), and a personal website.

• Digital Engineering
• Through-life Engineering Services
• Augmented Reality Applications
• +۶ مورد دیگر

John Ahmet Erkoyuncu is a Professor of Digital Engineering and Head of the Centre for Digital Engineering and Manufacturing at Cranfield University. His research focuses on digitalization of manufacturing processes, augmented reality (AR) applications in maintenance, and uncertainty management in industrial service contracts. He holds roles such as co-chair of the Through-life Engineering Services Council and is an Associate Member of CIRP. Education: PhD in maintenance cost estimation (collaboration with BAE Systems, Rolls-Royce, and MoD). Current Activities: Leads initiatives in digital twins, AI integration, and AR-driven maintenance solutions. Supervises 8 industry-cofunded PhD projects across aerospace, automotive, and healthcare sectors. Awards: Not explicitly listed in provided texts, though his contributions to digital twin frameworks and AR applications are internationally recognized. Research Interests: Erkoyuncu’s work bridges engineering and data science, emphasizing: - Digital transformation of manufacturing systems, - Human-centric AR tools for maintenance, - Sustainable product-service systems (IPS²), - Uncertainty quantification in industrial contracts. Publications: Over 100 peer-reviewed articles in journals like CIRP Annals, IEEE Access, and Robotics and Computer-Integrated Manufacturing. Recent work includes cognitive digital twin architectures and AI-driven knowledge extraction for degradation analysis. Grants: Actively involved with Innovate UK and EPSRC projects, focusing on autonomous maintenance systems and digital twin applications. Labs/Teams: Oversees the Centre for Digital Engineering, collaborating with industry partners like Airbus, Rolls-Royce, and NHS. Leads the Digital Twin Hub’s Community Council.

Hebba Haddadمشاهده پروفایل

مدرس ارشد

• Environmental Psychology
• Transportation Studies
• Climate Change Communication
• +۴ مورد دیگر

Dr. Hebba Haddad is a Senior Lecturer in Environmental Psychology at the University of East London (UEL), based in the School of Childhood and Social Care's Department of Psychology & Human Development. Her research focuses on psychological and social dimensions of transport, wellbeing, and environmental sustainability. She holds a PhD in Psychology from the University of Exeter, supported by an ESRC CASE studentship with the Met Office, and has held postdoctoral positions at Imperial and King's College London. Her work integrates mixed methods to explore climate change communication, risk perception, and sustainable urban systems. She leads environmental psychology modules for UEL’s BSc and MSc Psychology programs, emphasizing innovative teaching methods like virtual reality (VR) and applied improv. Key collaborations include the Sustainability Research Institute (SRI) at UEL and the Centre for Transport & Society (CTS) at the University of the West of England. Research interests span environmental psychology, transport policy, public health, and inclusive disaster risk reduction. Recent projects include studies on Sustainable Drainage Systems (SuDS) and participatory flood evacuation models with schoolchildren. She is a member of the International Association of People-Environment Studies (IAPS) and Women in Transport. Teaching responsibilities include modules on environmental psychology and sustainability, while her advisory roles focus on policy integration for net-zero targets in small businesses.

Hafiz Alakaمشاهده پروفایل

استاد

• Artificial Intelligence
• Big Data Analytics
• Construction Technology
• +۵ مورد دیگر

Professor Hafiz Alaka is an academic leader and researcher at the University of Hertfordshire, serving as Associate Dean and Director of the Big Data Technologies and Innovation Lab. He leads the 'Prediction of Climate and its Impacts (PCI)' group within the Centre for Climate Change Research (C3R). His expertise lies in applying contemporary technologies like AI, big data, and machine learning to construction, infrastructure, energy, and sustainability challenges. Research interests include offsite construction adoption, pollution prediction using IoT and big data, building energy optimization, and circular economy practices. His work emphasizes interdisciplinary collaboration with industry partners such as Balfour Beatty and Reusefully Ltd, and international collaborations in Malaysia, Nigeria, and Indonesia. He has secured over £10M in research funding and oversees strategic research initiatives at Hertfordshire Business School. Recent publications focus on AI-driven solutions for construction challenges, energy efficiency modeling, and environmental monitoring. Notable projects include developing prediction models for cement quality and mitigating digital transformation risks in Malaysia. He actively contributes to academic governance as an Innovate UK assessor and editorial board member of international journals. His leadership spans research policy development, grant administration, and fostering innovation ecosystems. He mentors PhD students and early-career researchers, emphasizing inclusive, dynamic environments for academic growth.

• Behavioral Biometrics
• User Authentication
• Affective Classification
• +۵ مورد دیگر

Joseph Barrowclough is an active researcher with a PhD, focusing on interdisciplinary applications of artificial intelligence across behavioral biometrics, neuroscience, and educational technology. His work bridges computer science with practical implementations in user authentication, affective computing, and scholarly writing analysis. Research Interests: Specializing in behavioral biometrics, Barrowclough develops machine learning systems for user authentication while exploring EEG-based affective classification and NLP tools for academic writing evaluation. His environmental science collaborations demonstrate AI's versatility in waste management applications. Recent Publications reveal expertise in Behavioral biometric dataset creation Deep learning for affective computing Machine learning in educational outcome prediction NLP-based language assessment systems Environmental image classification Collaborations: Barrowclough works extensively with colleagues like Nnamoko, Korkontzelos, and Liptrott, contributing to the SustainNET research group and maintaining connections through the Fingerprint Network.

• Human-Computer Interaction
• Health Technologies
• Digital Health
• +۴ مورد دیگر

Dr. Madeline Balaam is a researcher at Newcastle University, focusing on the intersection of technology with healthcare, humanitarian crises, and education. Her work emphasizes participatory design, ethical technology integration, and equitable access to resources for marginalized communities such as refugees and people with disabilities. She collaborates extensively with interdisciplinary teams on projects like digital tools for food security, health advocacy, and inclusive education. Research interests include humanitarian technologies, healthcare design, and leveraging technology for social impact. Notable projects address Syrian refugees' needs in Lebanon and Lebanon, dementia care through VR, and abortion rights advocacy via digital storytelling. Her work often bridges theoretical frameworks with practical implementation in real-world contexts. Publications highlight themes of dignity in tech design, participatory methods in crisis settings, and innovative educational approaches. Collaborations span global health, HCI, and sociology, reflecting a commitment to interdisciplinary solutions for societal challenges.

Goran Nenadicمشاهده پروفایل

استاد

• Natural Language Processing
• Text Mining
• Biomedical Information Extraction
• +۳ مورد دیگر

Goran Nenadic is a Professor in the Department of Computer Science at the University of Manchester and a Turing Fellow at the Alan Turing Institute. His research focuses on natural language processing (NLP), text mining, and semi-automated knowledge curation from unstructured data, particularly in biomedical and healthcare domains. He leads the UK Healthcare Text Analytics Network (Healtex) and has extensive experience in clinical text mining, including projects with healthcare providers and industrial partners. Education: PhD in Computer Science (2003, School of Sciences, University of Salford) MSc in Computer Science (1997, Faculty of Mathematics, University of Belgrade) BSc in Mathematics and Computer Science (1993, Faculty of Mathematics, University of Belgrade) Research Interests: Nenadic's work emphasizes large-scale extraction of clinical/epidemiological findings from EHRs, healthcare social media, and biomedical literature. His team addresses challenges like medication prescription extraction, patient-generated data analysis, and clinical decision support systems. Projects include semi-automated anonymization of clinical narratives and mental health symptom identification in social media. Key Projects: Integrating hospital outpatient letters into the healthcare data space (2021–2025) Centre for Digital Trust and Society (2021–present) SC-SVI: Social Care Strengths and Vulnerability Index (2022–2024) Assembling the Data Jigsaw for MSK Disease Research (2020–2024) Labs/Teams: Leads the Clinical Knowledge Management group and collaborates with the Health eResearch Centre (HeRC). His group's website is gnteam.cs.manchester.ac.uk . His research contributes to UN Sustainable Development Goals related to health and well-being through innovations in clinical text analytics and healthcare data utilization.