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ASERG is looking for candidate for three PhD scholarships with the projects:
- Smart Ecosystem Monitoring Platform for Long-term Multifunctional Landscape Climate Adaptation Research led by Dr Carlos da Silva in collaboration with the Sheffield and Rotherham Wildlife Trust as part of the 10-year Sheffield Lakeland Partnership.
- Smart and Adaptive Digital Platform for Net Zero Carbon Educational Buildings led by Dr Soumya Basu in collaboration with academics from Architecture and Engineering.
- Development of A Smart-Data Processing Pipeline for Quantification of Respirable Crystalline Silica in which Dr Marjory Da-Costa-Abreu is collaboration with Dr Ronak Janani and Prof Chris Sammon from Engineering.
More information in the projects’ respective pages.
Marjory spoke at the UKHSA panel on Artificial Intelligence (AI) in health security and health protection: Balancing innovation and risk as part of the UKHSA Conference 2025 in Manchester.
The panel was hosted by Nick Watkins, Chief Data Scientist of the UK Health Security Agency and the discussion explored balancing innovation and risk around the use of AI in health security and health protection.
We are very happy to announce that ASERG has been successful in being awarded a 2-year Knowledge Transfer Partnership (KTP) with Cafeology Limited.
The book chapter An IoT-Enabled Innovative Smart Parking Recommender Approach has been published on the Taylor & Francis book Recommender Systems - A Multi-Disciplinary Approach. The chapter presents RecoPark, an IoT-based smart parking recommender solution, which enables cars to a parking space automatically across cities and to reserve it on the move. The work is a collaboration between Soumya Basu and Ajanta Das.
Dr. Márjory da Costa Abreu has the papers Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19 and Exploring Bias Analysis on Judicial Data using Machine Learning Techniques accepted at the 12th International Conference on Pattern Recognition Systems.
Our paper An architecture for data integrity in untrustworthy social networks has been accepted for presentation at the 37th ACM/SIGAPP Symposium On Applied Computing. The paper presents an architecture for independent verification of content integrity in social networks in response to a scenario of untrustworthy provider, and is the result of the work developed by Angus Young.