Projects per year
Personal profile
Professional Information
Bujar Raufi is an assistant lecturer and a researcher at TU Dublin specializing in assessing cognitive load in user interfaces.
He holds a PhD in Communications and Computer Technologies – Computer Systems, Complexes and Networks from Technical University in Sofia, Bulgaria. His research background is in designing and implementing new approaches and directions regarding user Adaptive Intelligent Systems by fusing Data Mining and IR techniques with Semantic Web. He was awarded a Marie Curie fellowship in 2020 and is researching the field of Human Mental Workload and personalization. The fellowship involves developing personalized user interfaces based on cognitive load, more precisely utilizing human mental workload to generate indexes for user modelling for personalisation.
Before joining TU Dublin, he spent seventeen years as a teaching assistant at South East European University and three years on the online learning team, where he was responsible for implementing and disseminating Digital Learning materials for various undergraduate and postgraduate courses in computer science programs.
Research Interests
Mental Workload, Machine Learning, Adaptive and Personalized User Interfaces
Education/Academic qualification
PhD, Development and Implementation of Adaptive Web-Based Systems Using Data Mining Techniques and Semantic Web, Технически университет - София
1 Nov 2006 → 8 Sep 2011
Award Date: 8 Sep 2011
Master, Development and Implementation of Online Examination System, New Bulgarian University
1 Sep 2004 → 27 Sep 2006
Award Date: 27 Sep 2006
Bachelor, Text-To-Speech Synthesis for Albanian Language, South East European University
4 Sep 2001 → 27 Nov 2003
Award Date: 27 Nov 2003
Fingerprint
Dive into the research topics where Bujar Raufi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
-
Enabling Human Mental Workload in User Modelling for PersOnalized Web ExpeRiences
Raufi, B. (PI) & Longo, L. (CoI)
1/11/20 → 31/10/23
Project: Career Development › Fellowships
-
Convolutional Autoencoder-Based Dimensionality Reduction for EEG Microstate Analysis
Thukral, S., Raufi, B. & Božic, B., 2025, Artificial Intelligence Applications and Innovations - 21st IFIP WG 12.5 International Conference, AIAI 2025, Proceedings. Maglogiannis, I., Iliadis, L., Papaleonidas, A. & Andreou, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 69-82 14 p. (IFIP Advances in Information and Communication Technology; vol. 758 IFIPAICT).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
A Comparative Analysis of SHAP, LIME, ANCHORS, and DICE for Interpreting a Dense Neural Network in Credit Card Fraud Detection
Raufi, B., Finnegan, C. & Longo, L., 2024, Explainable Artificial Intelligence - Second World Conference, xAI 2024, Proceedings. Longo, L., Lapuschkin, S. & Seifert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 365-383 19 p. (Communications in Computer and Information Science; vol. 2156 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG Band Ratios
Raufi, B. & Longo, L., Mar 2024, In: BioMedInformatics. 4, 1, p. 853-876 24 p.Research output: Contribution to journal › Article › peer-review
Open Access -
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload
Raufi, B. & Longo, L., 16 May 2022, In: Frontiers in Neuroinformatics. 16, 861967.Research output: Contribution to journal › Article › peer-review
Open Access -
Cosine Similarity through Control Flow Graphs for Secure Software Engineering
Desku, A., Raufi, B., Luma, A. & Selimi, B., 2021, 7th International Conference on Engineering and Emerging Technologies, ICEET 2021. Institute of Electrical and Electronics Engineers Inc., 4 p. (7th International Conference on Engineering and Emerging Technologies, ICEET 2021).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review