Assoc. Prof. Evis TRANDAFILI
EDUCATION
PhD: A new algorithm for keyword extraction in Albanian documents using statistical and Machine Learning algorithms.”, Polytechnic University of Tirana, Faculty of Information Technology, (2014)
BA & MSc: 5-year degree diploma in Computer Science, University of Tirana, Faculty of Natural Sciences, (2008)
AREAS OF INTEREST
Research: Artificial Intelligence, Machine Learning, Natural Language Processing.
Teaching: Data Structures, Algorithms, Data Visualization and Analysis.
EXPERIENCE
Academic Experience
University of New York Tirana (AL), Department of Information and Intelligent Systems, Assistant Lecturer (2023 – Current)
Polytechnic University of Tirana (AL), Department of Computer Engineering, Faculty of Information Technology (2009 – 2023)
Administrative duties
Vice Dean for Research, Faculty of Information Technology, Polytechnic University of Tirana (2020 – 2023)
Professional Experience
Local Organizing Committee member, The 17th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, (2022)
Organizing Committee member, Program Committee member, Session Chair, ICITEE21 International Conference of Information and Communication Technologies (ICITEE21) Polytechnic University of Tirana, (2021)
QA expert for higher education, Agency for Quality Assurance in Higher Education (ASCAL), Albania. (2021-ongoing)
RESEARCH OUTPUTS
Refereed Journal Articles
Trandafili, E., Kote, N., & Plepi, G. (2023). Question Classification in Albanian Through Deep Learning Approaches. International Journal of Advanced Computer Science and Applications, 14(3). DOI:10.14569/IJACSA.2023.0140385
Trandafili, E., Muraku, B., & Meçe, E. (2023). Agile in distributed software development: a systematic literature review. Albanian Journal of Natural and Technical Sciences, AJNTS No 57 / 2023 (XXVIII) http://akad.gov.al/ash/images/2023/pdf/1AJNTS2023.pdf
Meçe, E. K., Sheme, E., Trandafili, E., Juiz, C., Gómez, B., & Colomo-Palacios, R. (2020). Governing IT in HEIs: Systematic mapping review. Business Systems Research: International Journal of the Society for Advancing Innovation and Research in Economy, 11(3), 93-109. https://doi.org/10.2478/bsrj-2020-0029
Meçe, E. K., Trandafili, E., & Theodhor, S. (2020) Towards Guidelines for Assembling Image Datasets for Transfer Learning Techniques. ISSN: 2248-9622 Vol. 10, Issue 01 (Series -III) January 2020, pp 08-13
Trandafili, E., & Biba, M. (2013). A review of machine learning and data mining approaches for business applications in social networks. International Journal of E-Business Research (IJEBR), 9(1), 36-53. https://doi.org/10.4018/jebr.2013010103
Trandafili, E. & Biba, M. (2012) Predicting Students Performance through Data Mining Techniques. Journal of International. Research Publications: Educational Alternatives. Volume 10. Part 2. ISSN: 1313-2571, https://www.scientific-publications.net/download/educational-alternatives-2012-2.pdf
Books and Book Chapters
Trandafili, E., Biba, M., & Cela, E. (2022). Minimizing Risk of Disputes Among Telecommunication Carriers With Blockchain Technologies. In Global Risk and Contingency Management Research in Times of Crisis (pp. 142-172). IGI Global. https://doi.org/10.4018/978-1-6684-5279-0.ch008
Trandafili, E., Meçe, E. K., & Duka, E. (2020). A named entity recognition approach for Albanian using deep learning. Complex Pattern Mining: New Challenges, Methods and Applications, 85-101. https://doi.org/10.1007/978-3-030-36617-9_6
Trandafili, E., & Biba, M. (2013). Scalable and High Performing Learning and Mining in Large-Scale Networked Environments: A State-of-the-art Survey. In Transactions on Computational Collective Intelligence X (pp. 162-176). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-38496-7_11
Refereed Conference Presentations
Kote, N., Trandafili, E., & Plepi, G. (2022, October). Question Classification for Albanian Language: An Annotated Corpus and Classification Models. In International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (pp. 1-12). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-19945-5_1
Trandafili, E., Bajrami, E., & Mece, E. K. Recent Trends on Frameworks and Methodologies for IoT. New Approaches, 68. E-ISBN: 978-605-74442-9-5
Trandafili, E., Haveriku, A., & Bendo, A. (2022, September). Employing a Seq2Seq Model for Spelling Correction in Albanian Language. In 2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) (pp. 1-6). IEEE. https://doi.org/10.23919/SoftCOM55329.2022.9911495
Trandafili, E., Mece, E., Sinorukaj, A., Tomja, B., & Bajramaj, E. (2021, November) A survey on frameworks used for IoT application development, ICITEE21, ISBN 978-9928- 329-52-3.
Muraku, B., Trandafili, E., Meçe, E., – Agile Methods for Distributed Software Development: Literature Review, ICITEE21, ISBN 978-9928-329-52-3.
Trandafili, E., Paci, H., & Karaj, E. (2019, June). A novel document summarization system for the Albanian language. In Proceedings of the 20th International Conference on Computer Systems and Technologies (pp. 273-277). https://doi.org/10.1145/3345252.3345275
Kote, N., Biba, M., & Trandafili, E. (2018). An experimental evaluation of algorithms for opinion mining in the multi-domain corpus in Albanian. In Foundations of Intelligent Systems: 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings 24 (pp. 439-447). Springer International Publishing. https://doi.org/10.1007/978-3-030-01851-1_42
Trandafili, E., Meçe, E. K., Kica, K., & Paci, H. (2018). A novel question-answering system for the Albanian language. In Advances in Internet, Data & Web Technologies: The 6th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2018) (pp. 514-524). Springer International Publishing. https://doi.org/10.1007/978-3-319-75928-9_46
Kote, N., Biba, M., & Trandafili, E. (2018). A thorough experimental evaluation of algorithms for opinion mining in Albanian. In Advances in Internet, Data & Web Technologies: The 6th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2018) (pp. 525-536). Springer International Publishing. https://doi.org/10.1007/978-3-319-75928-9_47
Trandafili, E., Kote, N., & Biba, M. (2018). Performance evaluation of text categorization algorithms using an Albanian Corpus. In Advances in Internet, Data & Web Technologies: The 6th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2018) (pp. 537-547). Springer International Publishing. https://doi.org/10.1007/978-3-319-75928-9_48
Trandafili, E., Biba, M., & Xhuvani, A. (2013, September). Profiling Social Network Users With Machine Learning. In BCI (Local) (p. 14).
Trandafili, E., Allkoçi, A., Kajo, E., & Xhuvani, A. (2012, September). Discovery and evaluation of student profiles with machine learning. In Proceedings of the Fifth Balkan Conference in Informatics (pp. 174-179). https://doi.org/10.1145/2371316.2371350
Paci, H., Kajo, E., Trandafili, E., Tafa, I., & Salillari, D. (2011, September). Author identification in Albanian language. In 2011 14th International Conference on Network-Based Information Systems (pp. 425-430). IEEE. https://doi.org/10.1109/NBiS.2011.71
Editorship
Co-Editor Albanian Journal of Natural and Technical Sciences, AJNTS No 57 / 2023 (XXVIII). http://akad.gov.al/ash/images/2023/pdf/1AJNTS2023.pdf
Funded Research Projects
Artificial Intelligent Methods for Information Extraction on Albanian texts, project funded by the National Agency for Science, Research and Innovation (2022-2023)Artificial Intelligent Methods for Information Extraction on Albanian texts, project funded by the National Agency for Science, Research and Innovation (2022-2023)
Enabling multilingual eye-tracking data collection for human and machine language processing research (MultiplEYE) – Management Committee- Science Communication Coordinator- Dissemination Working Group Leader, Cost Action – CA21131, funded by the European Commission. (2022-2024)
Information Technology Governance for Albanian Universities, ITG4AU, Capacity Building in the field of Higher Education, Project number: 585578-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), (2017-2020)
ERASMUS+ LIFELONG LEARNING PROGRAMME, “FETCH – Future Education and Training in Computing: How to support learning at anytime anywhere”, (2013–2016)
