Research
His research objectives include bridging the gap between theories and applications of data mining, accelerating and increasing the effectiveness of software maintenance and reducing its costs by improving quality and facilitating evolution; establishing novel ways of retrieving information from text and source code.
He published over 40 papers in international referred journals and conferences, focusing on data mining algorithms, such as clustering, classification and association rules, and data mining applications in domains, such as software engineering, medicine and biology. His work has been published in journals including Data & Knowledge Engineering, Methods of Information in Medicine, Information Systems Frontiers, Int’l Journal of Data Mining and Bioinformatics, Applied Artificial Intelligence and Int'l conferences such as IEEE ICTAI, IEEE ITAB, IEEE COMPSAC, IEEE APSEC, IEEE IWPC, CSMR and IDEAL. A list of publications can be found here.
Christos lead a number of research projects on software quality assurance using data mining, as well as on strategic maintenance and evolution of software. He was also involved as a principal investigator or co-investigator in a number of software and knowledge management projects. A list of research projects he has been involved with can be found here.
Christos lead the University of Manchester's involvement with the EPSRC funded Service-Oriented Software Research Network (SOSoRNet). He was a collaborator with the National Centre of Text Mining (NaCTeM). He co-organized the Service-enabled Collaborative Enterprises- Joint event and organized the 1st SOSoRNet workshop, a special session at IEEE CSMR 07 and a session at CSMR 09. He was Program co-Chair at CSMR 08, Industrial Track chair at CSMR 11, and guest editor for the Journal of Software Maintenance and Evolution: Research and Practice. He served as PC member in over 50 international conferences.
