News
The ASERG news
| Jun 10, 2024 | ASERG awarded a new 2-year KTP project with Cafeology Ltd |
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| Apr 02, 2024 | Two funded PhD positions offered by members of ASERG |
| Jul 14, 2023 | 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. |
| Mar 30, 2023 | Checkout here how ASERG member Dr. Soumya Basu helped with Guildhawk’s digital transformation while pivoting from a language service business to a technology-led global operations. |
| Mar 10, 2023 | Several GTA PhD positions offered by members of ASERG |
| Sep 29, 2022 | The article BPM2DDD: A Systematic Process for Identifying Domains from Business Processes Models has been published on the MDPI Journal Software. The article presents a technique to capture bounded contexts and their relationships into DDD context maps based on the extraction of information from business process models. The work is a collaboration between Carlos Eduardo da Silva, Soumya Basu and Eduardo Luiz Gomes. |
| Sep 15, 2022 | ASERG at the SHU Learning, Teaching and Assessment 2022 Conference |
| May 10, 2022 | Dr. Carlos da Silva has the paper A Box Analogy Technique (BoAT) for Agile-based Modelling of Business Processes accepted at the Industrial Innovation track of the IEEE International Requirements Engineering 2022 Conference. The paper presents a technique for extracting business processes during interviews as part of the requirements elicitation phase and describes how the technique has been developed through its application with three different clients.. The work is a collaboration with Leisia Medeiros, Yan Justino and Eduardo Luiz Gomes. |
| Apr 06, 2022 | Dr. Márjory da Costa Abreu has the paper Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19 accepted at the 12th International Conference on Pattern Recognition Systems. The paper presents an analysis of using a combination of classical machine learning models and deep learning techniques as well as a selection of descriptive text features to identify fake news related to COVID-19 on social media. This research is the result of the work developed by Ashish Garg (MSc Big Data Analytics - SHU). |
| Apr 06, 2022 | Dr. Márjory da Costa Abreu has the paper Exploring Bias Analysis on Judicial Data using Machine Learning Techniques accepted at the 12th International Conference on Pattern Recognition Systems. The paper presents an analysis of using classical machine learning models to identify bias in judicial sentences is the result of the work developed by Bruno Silva (MPhil in Systems and Computing - UFRN/Brazil). |
| Mar 21, 2022 | Two PhD studentiship at ASERG |
| Dec 21, 2021 | 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. |
| Dec 20, 2021 | ASERG helps lead Innovation |
| Oct 11, 2021 | ASERG Research Seminar - Improving the Performance of Feature Selection |
| Sep 07, 2021 | ASERG at the SHU Transforming Learning Conference |
| Jun 08, 2021 | ASERG Research Seminar - Investigating fuzzy methods for multilingual speaker identification |
| Oct 30, 2020 | We are alive. The Web page of the ASERG group is now live. |