Dr Tarek Elsaleh
Academic and research departments
Centre for Vision, Speech and Signal Processing (CVSSP), School of Computer Science and Electronic Engineering.About
Biography
Research Software Engineer at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey.
He received his BEng degree in Electronics Engineering from Oxford Brookes University. He has also received his MSc degree in Communications, Networks, and Software and PhD from the University of Surrey. His research and development activities around IoT include Service, Data and Metadata Management, Semantic Modelling and Validation, Interoperability for Multi-Domain Experimentation Facilities, and Application of IoT technologies with AI in Healthcare. He has contributed to several major EU and UK funded IoT research projects over the past 10 years. He has also contributed to standardization activities in the field, such as the W3C submission, the IoT-Lite Ontology.
Areas of specialism
University roles and responsibilities
- Research Software Engineer
My qualifications
ResearchResearch interests
IoT, AI, Connected Data, Data Spaces
Research projects
EU project focusing on developing a search engine framework for the Internet of Things (IoT), enabling search on services exposing its devices. Architecture adopts a SaaS approach for system components exposed as web services.
• Co-investigator and work package leader for Machine-Initiated Semantic Search Enablement.
• Led and developed semantic information model for IoT data streams.
• Integrated modules for data pattern extraction and imputation developed by researchers based on ML.
• Conducted testing and CI/CD for developed for backend components, and deployment on Kubernetes cluster.
• MVP design and development for elderly care use case based on framework.
Research interests
IoT, AI, Connected Data, Data Spaces
Research projects
EU project focusing on developing a search engine framework for the Internet of Things (IoT), enabling search on services exposing its devices. Architecture adopts a SaaS approach for system components exposed as web services.
• Co-investigator and work package leader for Machine-Initiated Semantic Search Enablement.
• Led and developed semantic information model for IoT data streams.
• Integrated modules for data pattern extraction and imputation developed by researchers based on ML.
• Conducted testing and CI/CD for developed for backend components, and deployment on Kubernetes cluster.
• MVP design and development for elderly care use case based on framework.
Teaching
Publications