IBM Ireland is one of IBM’s major sites in Europe, with the Ireland Software Group (Ireland Lab) having grown to 4,000 employees across three cities in Ireland. This growth of over 200 per cent in 8 years has been significantly assisted through collaborations with domestic and European academia, government and enterprise. IBM Software Group is the largest middleware company in the world and the Ireland Lab’s portfolio reflects the company’s strategy for developing Enterprise Software for Fortune 500 companies, MLCs and SMEs in domain areas such as Cognitive, eHealth, Security, Social and Collaborative Computing, Smarter Cities, Cloud Computing, HPC, Service Management, Data Warehousing, Industry Models and Analytics.
Profile of key persons:
- Aydın Ulaş (male) received his BS, MS and PhD degrees in computer science from Bogaziçi University, Istanbul, in 1999, 2001 and 2008 respectively. He worked as an assistant professor and researcher in University of Verona, Italy working on the FP7 project SIMBAD (Similarity-based Pattern Analysis and Recognition) between 2009 and 2012. He worked as a Solution Architect and Research Lead in Argela Technologies which is a subsidiary of Turkihs Telekom in Turkey between 2012 and 2018. He has been involved in several EU and local research projects on Machine Learning and 5G (i.e., Simbad: http://simbad-fp7.eu/, Sigmona: https://www.celticnext.eu/project-sigmona/). Currently, he is working as a senior data scientist and applied researcher at IBM Innovation Exchange (IIX) in Dublin. Aydın’s research interests include machine learning, pattern recognition, medical imaging and machine learning for telecommunications. He is a reviewer for several international conferences and journals. He is a senior member of IEEE Computational Intelligence Society and IAPR Turkish chapter (TÖTIAD). Aydın has several journal and conference papers on machine learning, software defined networking and pattern recognition including Pattern Recognition Journal, IEEE Transactions on Cybernetics, Computer Networks, Information Sciences, NetSoft, ICPR, NOMS.
- Bora Çaglayan (male) is a data scientist and applied researcher at IBM Ireland Innovation Exchange. He has 10 years of experience in machine learning and software engineering. Prior to joining IBM, he spent one year as a post-doctoral researcher at Lero – the Irish Software Research Centre working on inner-sourcing and crowd-sourcing metrics in software engineering with Lero industry partners. Bora spent two and a half years as a post-doctorate research fellow and instructor at Ryerson University Data Science Lab (DSL) in Toronto, ON, Canada. Bora worked on location-based recommenders, app store recommender and news recommender projects at Blackberry and Globe & Mail using various distributed computing frameworks while working at DSL. Bora received his B.Sc., M.Sc., PhD degrees in Mechanical Engineering, Software Engineering and Computer Science respectively from Bogazici University, Istanbul, Turkey and his PhD dissertation was “An Issue Recommender Model using the Developer Collaboration Network”. Bora received full scholarship during his PhD and worked as an ERP developer at Oracle Turkey for two years while pursuing his M.Sc. degree. Bora has more than 35 publications on empirical software engineering, recommender systems in software engineering, software quality, location-based recommenders and social learning in various high ranking journals and conferences including PLOS ONE, Journal of Systems and Software, IEEE Software, International Conference on Software Engineering (ICSE) and Foundations of Software Engineering (FSE).