جست‌وجوی استاد و پژوهشگر

• Building Information Modelling (BIM)
• ICT in the built environment
• Child-friendly outdoor environments
• +۴ مورد دیگر

Professor Lamine Mahdjoubi is Professor of the Built Environment at the University of the West of England (UWE Bristol), Faculty of Environment and Technology, Department of Architecture and the Built Environment. An architect and urban designer by training, he has gained international recognition for integrating advanced ICT solutions into the design, management, and visualisation of the built environment. Education & Qualifications: Qualified in Architecture and Urban Design (specific institutions and dates not provided in the text). Research Interests: Professor Mahdjoubi’s research focuses on the intersection of digital technologies and sustainable urban environments. He develops innovative methodologies and tools for analysing human–environment interactions, with particular emphasis on: Building Information Modelling (BIM) for design, construction, and operations; Virtual and immersive environments for collaborative design and stakeholder engagement; Child-friendly outdoor environments, linking urban design to public health outcomes; Heritage Building Information Modelling (HBIM) for retrofitting and conservation; Blockchain and machine-learning applications for decentralised energy management; Decision-support systems for brownfield redevelopment and risk assessment. Publication Trends: Across >100 peer-reviewed outputs, recent work (2020–2025) demonstrates a clear pivot toward AI and data-driven approaches in the built environment. A dominant strand couples BIM with machine-learning and VR/AR technologies to enhance design coordination, safety, and sustainability. Energy research increasingly integrates blockchain and large-language-model systems for smart grids. A second major strand addresses socio-environmental equity, producing evidence-based guidelines for healthy outdoor spaces for children and refugee communities. Scientific Awards & Recognition: While specific named awards are not listed, Professor Mahdjoubi’s international recognition is evidenced by: Membership of the Advisory Board, International Making Cities Livable (USA); Invited keynote speaker at numerous national and international conferences; Chief/External Examiner roles for universities in the UK and overseas; Founding Director of the pioneering Virtual Reality Enterprise Centre (VREC) at UWE Bristol. Research Funding & Teams: He has secured and directed major projects funded by: UK Engineering & Physical Sciences Research Council (EPSRC); British Academy; European Union Framework Programmes; Qatar National Research Fund (QNRF); Industry partners and local authorities. These initiatives have supported multidisciplinary teams spanning architecture, computer science, public health, and social policy. Laboratories & Centres: Professor Mahdjoubi founded and directed the Virtual Reality Enterprise Centre (VREC) , the first UK centre dedicated to knowledge exchange in visualisation and analysis of the built environment. The centre provides state-of-the-art VR/AR facilities for teaching, research, and industry collaboration.

• Internet of Things
• Wireless Networks
• Mobile Computing
• +۶ مورد دیگر

Djamel Djenouri serves as an Associate Professor in Computer Science at the University of the West of England (UWE Bristol), Faculty of Environment and Technology. He joined UWE in December 2019 after serving as a senior research scientist (director of research) and deputy director at CERIST research Center. Dr. Djenouri maintains active scholarly engagement as a Senior Member of the ACM, AGYA member, and Fellow of the Higher Education Academy (HEA). Dr. Djenouri's research spans Internet of Things (IoT), Wireless and Mobile Networks, Smart Cities, Network Security, and Machine Learning applications. His scholarly contributions demonstrate expertise in federated learning, intrusion detection systems, IoT security, sensor networks, and privacy-preserving technologies. His work bridges theoretical computer science with practical applications in smart environments, healthcare, and transportation systems. His publication portfolio shows a clear trajectory toward increasingly sophisticated applications of machine learning in IoT security and optimization, with recent work focusing on federated learning approaches that balance privacy, performance, and efficiency. His research demonstrates growing emphasis on practical implementations in smart cities, connected vehicles, and healthcare applications. Senior Member of the ACM AGYA member Fellow of the Higher Education Academy (HEA) Dr. Djenouri has published over 140 papers in international peer-reviewed journals and conference proceedings. He actively contributes to scholarly activities including organizing international conferences and workshops, and serving as editor, guest editor, and reviewer for numerous journals. His research has been supported through collaborations with renowned institutions worldwide. Dr. Djenouri has conducted visiting research at SICS, University of Cape Town, UPC Barcelona, University of Padova, NTNU, and the University of Oxford, establishing an international research network focused on advancing IoT and wireless network technologies.

Luis Ferreira Piresمشاهده پروفایل

دانشیار

• Ontology Engineering
• Semantic Interoperability
• Internet of Things
• +۴ مورد دیگر

Luis Ferreira Pires is an Associate Professor affiliated with the Digital Society Institute and Semantics, Cybersecurity & Services. With over 338 research outputs and 1706 citations, his work focuses on ontology engineering, semantic interoperability, and IoT systems. He has supervised 15 research works and received two best paper awards: EDOC 2013 and FOIS 2018. Key Research Areas: Ontology, Semantic Web, Internet of Things, Enterprise Architecture Collaborations: Active in health informatics, smart systems, and FAIR data principles His recent publications demonstrate expertise in applying large language models to ontology development, enhancing application observability, and improving data management practices in healthcare. He has contributed to multiple datasets on agricultural metadata, urban ecology, and health data governance. Scientific Awards: EDOC 2013 Best Paper Award FOIS 2018 Best Paper Award

Wendy Oude Nijeweme d'Hollosyمشاهده پروفایل

استادیار

• Health Informatics
• Data Science
• Personalized eHealth Technologies
• +۸ مورد دیگر

Wendy Oude Nijeweme d'Hollosy is an Assistant Professor at the University of Twente, affiliated with the Biomedical Signals and Systems Group and the Personalized eHealth Technology Program. She works 1 day per week at the university and 4 days as a Senior Data Scientist at Univé, a Dutch insurance cooperative. Her research spans health informatics, machine learning, and eHealth technologies , focusing on chronic musculoskeletal pain and type 2 diabetes management . University of Twente (2020–present) Univé (2020–present) Roessingh Research and Development (2018–2020, 2003–2005) Her work emphasizes clinical decision support systems (CDSS) , interoperability , and AI-driven referral optimization . Google Scholar articles highlight applications of machine learning in predicting treatment outcomes, developing digital coaches (E-Supporter 1.0), and improving shared decision-making for chronic conditions like COPD and diabetes. Systematic reviews and protocol papers underscore methodological rigor in evaluating digital health interventions. Scientific contributions include: Pioneers in Healthcare Voucher (2019) for the PReferral project Leadership in the H2020 Back-UP project on low back pain prediction Participatory design of AI-based eHealth tools Her research combines academic rigor with real-world implementation, addressing both technical challenges (interoperability, ML models) and human factors (patient acceptance, shared decision-making). Current projects focus on AI-driven pathway optimization for chronic pain patients across primary, secondary, and tertiary care levels.

Shangping Renمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Real-Time Scheduling
• Cloud Computing
• +۴ مورد دیگر

Shangping Ren is a Professor and Department Chair at the Department of Computer Science, San Diego State University (SDSU), within the College of Sciences. She earned her Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 1997. Research focus areas: Cyber-Physical Systems, Real-Time Scheduling, Cloud Computing, Medical Cyber-Physical Systems, Software Architecture, and Resource Optimization Key projects: EMBG System for Emergency Care, Medical Best Practice Guideline Modeling, Real-Time Task Scheduling, and Many-Core Virtualization Her recent publications emphasize medical cyber-physical systems (e.g., safety verification, implicit assumption detection) and real-time scheduling (e.g., rejuvenation techniques, resource degradation). She also explores cloud computing for DAG applications and mobile low-power sensing via Bluetooth/RFID. Grants: Funded by NSF, Air Force Research Laboratory, and Fermi National Accelerator Laboratory. Current projects include data science workforce training, medical guidance systems, and water infrastructure analytics. Collaborations: Works with Lui Sha, Chunhui Guo, Zheng Li, and institutions like University of Illinois, Yale University, and National Science Foundation.

Weizi Liمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Information Systems
• +۵ مورد دیگر

Professor Weizi Li serves as Professor of Informatics and Digital Health, Deputy Director of the Informatics Research Centre, and Programme Director for MSc Digital and Technology Solutions and MSc Informatics (BIT) at Henley Business School, University of Reading. She directs the EPSRC Future Blood Testing for Inclusive Monitoring and Personalised Analytics Network+, demonstrating leadership in digital health innovation. Her research integrates artificial intelligence, machine learning, and information systems to solve critical healthcare challenges. Key focus areas include digital health analytics, decision support systems for clinical pathways, and personalized medicine applications. Current work targets inflammatory arthritis detection, diabetes management through glucose monitoring, and reducing healthcare inequalities via predictive attendance systems implemented at Royal Berkshire NHS Foundation Trust. Recent publications reveal consistent application of multimodal machine learning to healthcare data, emphasizing uncertainty quantification, risk stratification, and real-world clinical implementation. Her work bridges technical AI advancements with practical healthcare delivery improvements across diverse patient populations. Professor Li has earned significant recognition for research impact including the ESRC O2RB Excellence in Impact Award (2018), Research Engagement and Impact Award (2020), and Times Higher Education STEM Award (2025). Her contributions to patient safety and digital health innovation have been acknowledged through Health Service Journal awards and British Computer Society fellowship. ESRC O2RB Excellence in Impact Award (2018) Research Engagement and Impact Award (2020) Shortlisted for 2022 Impact Award Health Service Journal Patient Safety Award Times Higher Education STEM Award (2025) Fellow of British Computer Society As Principal Investigator, she has secured major funding from EPSRC, NIHR, ESRC, The Health Foundation, NHS, and Innovate UK totaling over £3 million. Current projects include the £1.16M NIHR RMD-Health initiative for rheumatic disease detection and the £600k EPSRC grant for inflammatory arthritis prediction. Her Royal Berkshire NHS partnership has successfully implemented machine learning systems reducing outpatient non-attendance. She leads the Informatics Research Centre's digital health team, fostering collaborations between academia, NHS trusts, and industry partners to translate AI research into clinical practice through the EPSRC Future Blood Testing Network+ and multiple collaborative innovation funds.

Sarah Rachutمشاهده پروفایل

پژوهشگر

• Digital Law
• E-Government
• Data Protection
• +۷ مورد دیگر

Dr. Sarah Rachut is a Scientific Associate at the Technical University of Munich (TUM), working at the Chair of Digital Law and Security under Prof. Dr. Dirk Heckmann. She serves as Managing Director of the TUM Center for Digital Public Services research institute and is affiliated with the TUM School of Social Sciences and Technology in the Department of Governance. Her work bridges legal scholarship with practical digital governance solutions, focusing on fundamental constitutional issues in digital contexts. Dr. Rachut studied law with a European and international focus at the University of Passau and completed her legal traineeship at the Higher Regional Court of Munich. She earned her doctorate with a dissertation titled "Realization of Fundamental Rights in Digital Contexts," which received the Science Prize of the Society for Data Protection and Data Security in November 2024. She is also a member of the German Society for Law and Informatics (DGRI) and an associate member of the eSports Law Research Center at the University of Augsburg. Her research centers on e-government, e-health, and e-education law, with particular emphasis on how constitutional rights can be realized in digital environments. Dr. Rachut challenges the misconception that law hinders digitalization, arguing instead that legal frameworks enable balanced technological advancement that respects fundamental rights. She advocates for moving from application-based administration toward proactive government services that automatically recognize citizens' legitimate claims without requiring burdensome documentation. Dr. Rachut's extensive publication record demonstrates deep expertise in AI regulation, digital administrative procedures, and electronic examination systems. Her work uniquely combines theoretical legal scholarship with practical implementation experience, as evidenced by her pivotal role in developing Bavaria's Fernprüfungserprobungsverordnung (BayFEV) during the pandemic, which became a national model for legally secure remote examinations. Young Leader in Gov Tech Award by Handelsblatt and Possible (2024) Science Prize of the Society for Data Protection and Data Security (2024) Second place in Young Scientist of the Year award (2025) Talent in BayFiD program (Bavaria's Women in Digital Professions) (2020) Scholarship holder at Graduate School of Bavarian Research Institute for Digital Transformation (2022) As Managing Director of the TUM Center for Digital Public Services, Dr. Rachut mentors students and leads research initiatives focused on digital transformation in government. She has successfully guided student teams to multiple awards in the "Digital Future Challenge" competition. Her leadership extends to shaping policy through expert opinions for legislative bodies including the German Bundestag and various state parliaments, where she has advised on the Bavarian Digital Law and other key digital governance frameworks. Dr. Rachut plays a key role in the TUM Center for Digital Public Services, which serves as an interdisciplinary hub for digital government research. She also serves as spokesperson for the "E-Government Law" working group of the National E-Government Competence Center (NEGZ) and co-edits the journal "Ordnung der Wissenschaft" since October 2024.

Liwei Wangمشاهده پروفایل

دانشیار

• Information extraction and data mining
• Cancer informatics
• Mental health informatics
• +۴ مورد دیگر

Liwei Wang is an Associate Professor at the McWilliams School of Biomedical Informatics, UTHealth Houston, and a core member of the Center for Translational AI Excellence and Applications in Medicine (TEAM-AI). She holds an MD from Norman Bethune University (1999), MS in Library Science (2006), and PhD in Medical Informatics (2014) from Jilin University. Her work focuses on translating informatics solutions for cancer, precision medicine, mental health, and pharmacogenomics, leveraging EHRs, FAERS, and NLP algorithms. She leads projects developing lexicons, ontologies, and computational phenotyping tools. Research interests include information extraction, real-world evidence generation, and adverse drug event surveillance. Her grants include funding from NLM and NCI. She collaborates widely with clinicians and epidemiologists, emphasizing interdisciplinary AI-driven healthcare innovation. Current projects involve cohort identification algorithms and translational AI methodologies. Key contributions include CancerBERT (cancer-specific NLP model), MedTator (annotation tool), and frameworks like IMPACT for clinical phenotyping. She aims to bridge AI and clinical practice to improve patient outcomes.

Christopher Chuteمشاهده پروفایل

استاد

• Biomedical Informatics
• Ontology
• Medical Concept Representation
• +۵ مورد دیگر

Christopher Chute is the Bloomberg Distinguished Professor of Health Informatics and Professor of Medicine, Public Health, and Nursing at Johns Hopkins University . He serves as Chief Research Information Officer for Johns Hopkins Medicine and is actively involved in the Johns Hopkins Institute for Clinical and Translational Research . His work focuses on harmonizing observational and protocol-based biomedical data to advance data science and knowledge discovery. Education: DrPH in Epidemiology/Biostatistics (Harvard), MPH (Harvard), MD (Brown), AB in English (Brown) Dr. Chute's research spans biomedical informatics , ontology , medical concept representation , and real-world data . He pioneered scalable terminology services for biohealth data and led the ICD-11 Revision as Chair. His recent work includes applying electronic health records to study post-acute sequelae of SARS-CoV-2 infection and childhood obesity trends post-COVID-19 diagnosis. His 476+ peer-reviewed publications demonstrate expertise in data harmonization , clinical phenotyping , and privacy-preserving record linkage . Key trends include leveraging EHR systems for comparative effectiveness studies , genomic research , and infectious disease modeling . Scientific Awards: 1980 CIBA Award for Outstanding Community Service 1981 Charles H. Smith Fellowship 1995 Homer Warner Award 2015 Bloomberg Distinguished Professor 2023 NIH DataWorks! Grand Prize 2024 William W. Stead Award 2024 Elected Member, National Academy of Medicine As Principal Investigator of the NCATS Translator TransMed grant and co-PI of CD2H , he advances translational research infrastructure. His legacy includes founding Mayo Clinic's Division of Biomedical Informatics (1988–2014) and serving on Health Level Seven Advisory Council and ISO TC215 on Health Informatics .

Judith Leoمشاهده پروفایل

استاد مهمان

• Artificial Intelligence
• Data Science
• Embedded Systems
• +۴ مورد دیگر

Judith Leo, Ph.D., serves as a Fulbright U.S. Scholar-in-Residence at Meharry Medical College's School of Applied Computational Sciences since August 2024. Concurrently, she holds a permanent position as Senior Lecturer and Chair of Cybersecurity and Privacy at The Nelson Mandela African Institution of Science and Technology (NM-AIST) in Tanzania, leading multidisciplinary research at the intersection of technology and societal challenges. Her academic foundation includes a Ph.D. in Computer Science through a sandwich program (Oldenburg University, Carleton University, NM-AIST), an M.Sc. in Information and Communication Science and Engineering (NM-AIST), and a B.Eng. in Electronics and ICT (Visvesvaraya Technological University, India). Dr. Leo's research integrates Artificial Intelligence, Data Science, and IoT to develop sustainable technological solutions for critical issues including healthcare access, educational equity, climate resilience, and food safety. Her work emphasizes low-cost, deployable systems tailored to African contexts, such as mobile-based tools for mycotoxin detection in maize and school dropout prevention. OWSD Early Career Fellow (2023) AI Early Career Award by ACTS (IDRC/SIDA-funded) Data for Local Impact Innovation Challenge grant (PEPFAR/MCC) She mentors graduate students at NM-AIST's School of Computational and Communication Science and Engineering while leading USAID-funded health interoperability initiatives and Gates Foundation-supported maternal health research. Her collaborative approach spans institutions including AI4D Africa, WASCAL, and the Aga Khan University.

Maurizio Lenzeriniمشاهده پروفایل

استاد

• Database theory
• Data modeling
• Artificial intelligence
• +۳ مورد دیگر

Maurizio Lenzerini is a Professor at Sapienza University of Rome , where he has held positions since 1990. He has served as Chairman of the Bachelor Program in Computer Engineering (1993–2000), PhD Program in Computer Science and Engineering (2002–2008), and currently as Chairman of the PhD School in Information and Communication Technologies. His research focuses on database theory, data modeling, artificial intelligence, knowledge representation, and ontology languages , with applications in service modeling and healthcare. Lenzerini has supervised numerous PhD students, many of whom hold academic positions in Europe. He has been a member of the Editorial Board of journals including Information Systems , IEEE Transactions on Knowledge and Data Engineering , and Logical Methods in Computer Science . He has also served as Program Chair for conferences such as PODS 2008 and ICDT 2003. His scientific awards include: 2009 ACM Fellow 2008 IBM Faculty Award on Service Science 2008 ACM Recognition of Service Award 2008 ECCAI Fellow 2005 IBM Shared University Research Award in P2P Data Management 2003 IBM Shared University Research Award in Information Integration 2018 ACM PODS Alberto Mendelzon Test-of-Time Award AAAI Fellow EurAI Fellow ER Fellow AAIA Fellow Member of Academia Europaea Lenzerini leads a world-renowned research group in ontology-based data management since 1987. His work spans query answering, knowledge graphs, data integration, and semantic technologies, with applications in healthcare (e.g., AMD-STITCH project) and healthcare analytics. He has organized international conferences and delivered keynotes at major events like PODS and IJCAI.

Muhammad Aslam Jarwarمشاهده پروفایل

مدرس ارشد

• Internet of Things (IoT)
• Cyber Physical Systems
• Digital Twin
• +۹ مورد دیگر

Dr. Muhammad Aslam Jarwar is a Senior Lecturer in Smart Computing at the Department of Computing, Sheffield Hallam University. He holds senior roles in academia and industry, including Editorial Board membership at Intelligent Automation & Soft Computing and Managing Guest Editor at Sustainable Energy Technologies and Assessments . His research focuses on IoT security, cybersecurity modeling, AI-driven IoT systems, and digital twin applications. He leads the Secure Ontologies for IoT Systems (SOfIoTS) project, aimed at enhancing IIoT security through ontology integration and edge computing. Education includes a Ph.D. from Hankuk University of Foreign Studies (South Korea), MS from Quaid-i-Azam University (Pakistan), and BCS (Hons) from University of Sindh. He has extensive industry experience, including a Postdoctoral Researcher role at University of Manchester and UCL. Research interests span IoT-enabled healthcare systems, trustworthy IoT, industrial IoT, and federated learning. Key projects include RiverSense (river pollution monitoring) and collaboration with AquaSensor. His work emphasizes practical applications of AI and IoT in healthcare, energy, and smart cities. He has supervised multiple Ph.D. and Master’s students in IoT and cybersecurity. Awards include travel grants and research networking awards. His recent publications address IoT middleware, blockchain integration, and AI-empowered healthcare solutions.

• Clinical Sciences
• Public Health and Health Services
• Cardiorespiratory Medicine and Haematology
• +۶ مورد دیگر

Hutan Ashrafian is an Honorary Senior Research Fellow in the Department of Surgery & Cancer at Imperial College London's Faculty of Medicine. He also serves as Visiting Professor of Research Impact at Leeds University Business School and Chief Scientific Officer of Preemptive Health at Flagship Pioneering. His roles include leading AI initiatives at the Institute of Global Health Innovation and co-chairing STARD-AI and QUADAS-AI global guidelines for AI diagnostics. He holds advanced degrees including BSc, MBBS, PhD, and MBA. His research focuses on artificial intelligence, surgical innovation, and translational medicine, with over 550 publications and 12 authored books. Notable contributions include pioneering work in AI-driven breast screening algorithms, robotic surgery standards, and ethical frameworks for healthcare technology. Dr. Ashrafian has received prestigious awards such as the Royal College of Surgeons Arris and Gale Lectureship and Hunterian Prize. His interdisciplinary work spans philosophy (e.g., AI ethics, simulation theory), history (e.g., ancient medical depictions in art), and physics (time paradox research). Key projects include collaboration with NHS and Google on AI breast screening tools, NHS interoperability studies, and development of the Global Patient co-Owned Cloud (GPOC). He also advises on health policy, including the NHS 2024 reform and antimicrobial resistance strategies.

• Autonomous Vehicles
• Software Engineering
• Cybersecurity
• +۳ مورد دیگر

Pavle Dakić is a researcher at Singidunum University, affiliated with the Faculty of Informatics and Computing and the Department of Electrical Engineering and Computing. He holds a doctoral degree in Applied Informatics from the Slovak University of Technology (2020-2024) and another doctoral degree in Electrical Engineering and Computing from Singidunum University (2015-2024). His research focuses on autonomous vehicles, cybersecurity, IoT/IIoT systems, and software compliance in automotive and healthcare sectors. He is actively involved in publishing peer-reviewed articles and conference papers, with recent work exploring AI-driven solutions for parking systems, cybersecurity in IoT environments, and the economic impacts of global market changes on automotive manufacturing. Pavle has collaborated on projects addressing standards compliance, fake news mitigation in online communities, and energy efficiency in autonomous vehicles. Education: Doctoral studies in Applied Informatics: Slovak University of Technology (2020-2024) Doctoral studies in Electrical Engineering and Computing: Singidunum University (2015-2024) Master’s in Contemporary Information Technologies: Singidunum University (2014-2015) His research interests span advanced topics such as intrusion detection systems for autonomous vehicles, software quality control using black-box testing, and the intersection of artificial intelligence with call-center optimization in automotive retail. Pavle has contributed to interdisciplinary projects, including analyses of agro-food production potential in Serbia and wage stability in the Republic of Srpska. His work emphasizes practical applications of technology in compliance, sustainability, and industry standards.

• Computer Science
• Telecommunications Engineering
• Mobile and Wireless Networks
• +۳ مورد دیگر

Dr Shahedur Rahman is a Senior Lecturer in Computer Science at Middlesex University , with extensive contributions to telecommunications engineering, image processing, and bioinformatics. His research focuses on wireless network optimization, perceptual distortion metrics for video coding, and molecular biology database integration. Research Interests : Interference management in LTE/5G networks Perceptual quality assessment in multimedia systems Computer vision for accessibility and mobility aids Integration of biological and medical databases Wavelet-based image compression Genomic data analysis Selected Scientific Publications highlight trends in: Dynamic channel allocation techniques for LTE networks SSIM/SATD hybrid distortion metrics Gene mutation data modeling Image processing for visual impairment assistance Database interoperability in medical systems Optimization algorithms for hardware systems