Dr Sermet Mir
- smir at bournemouth dot ac dot uk
- Lecturer in Computer Science
- Poole House P318, Talbot Campus, Fern Barrow, Poole, BH12 5BB
Biography
Dr. Sermet Mir is a Lecturer in Computer Science at the Department of Computing & Informatics, Bournemouth University. He earned his PhD in 2020, with a thesis titled "An Efficient Model for Representing Sparkle Effects in Automotive Paints."
For the past 10 years, Dr. Mir has taught a range of subjects in Data Science while also taking on responsibilities in academic projects. His professional experience includes international exposure; in 2017, he worked as a research intern at Siemens Healthineers' Research and Development Center in Princeton, NJ, USA, where he contributed to advancements in Image Visualisation.
Research
Dr Mir's principal areas of research focus encompass a spectrum of intricate domains, most notably distinguished within the realms of computer vision, image processing, and computer graphics. His endeavours are specifically centred on the intricate realms of appearance modelling and global illumination. Furthermore, his scholarly pursuits extend into the fields of data mining and machine learning, with a specific emphasis on the development and exploration of feature selection algorithms.
Journal Articles
- Mir, S., Yildirim, B. and Kurt, M., 2022. An Analysis of Goniochromatic and Sparkle Effects on Multi-Layered Materials. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi.
- Mir, S., 2020. A Review of Emerging Artificial Intelligence and Internet of Things Techniques Against COVID-19. Journal of Modern Technology and Engineering, 5 (3).
- Mir, S., 2020. A Survey of Monte Carlo Denoising: Challenges and Possible Solutions. Journal of Modern Technology and Engineering, 5 (1).
Chapters
- Mir, S., Kurt, M. and Ozturk, A., 2020. An Efficient Plugin for Representing Heterogeneous Translucent Materials. Contemporary Topics in Computer Graphics and Games Selected Papers from the Eurasia Graphics Conference Series. Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften.
Conferences
- Önel, S., Kurt, M. and Öztürk, A., 2019. An efficient plugin for representing heterogeneous translucent materials. , 309-321.
- Ergun Serkan, Mir, S. and Ozturk, A., 2016. A General Micro-flake Model for Predicting the Appearance of Car Paint. In: Eurographics Symposium on Rendering - Experimental Ideas & Implementations 22-24 June 2016 Dublin, Ireland.
- Mir, S., Komesli, M. and Okur, M.C., 2014. Transforming Geographical Data Modelled with UML to OWL with the help of XLST (In Turkish: UML ile Modellenen Coğrafi Verilerin XSLT Yardımıyla OWL'a Dönüştürülmesi). In: National Software Engineering Symposium of Turkey (Ulusal Yazilim Muhendisligi Sempozyumu - UYMS) 8-10 September 2014 Turkey.
- Önel, S., Komesli, M. and Okur, M.C., 2014. UML ile modellenen coʇrafi verilerin XSLT yardimiyla OWL'a dönüştürülmesi. CEUR Workshop Proceedings, 1221, 738-749.
Profile of Teaching PG
- L7 - Data Storytelling
Profile of Teaching UG
- L5 - Big Data Engineering & Analytics
- L6 - Data Visualisation & Visual Analytics