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Guest Talk: Novel classes of process analytics: Mining resourcing rules, task post-conditions and some applications

Prof. Aditya Ghose

Date/Time: 08.06.2016, 12:00

Loca­tion: D2.2.094

Abstract

New kinds of process analy­tics can lead to insights into optimal process provi­sio­ning, and into process impact, which in turn can support novel concep­tions of process moni­to­ring and adap­ta­tion. In this talk, I will outline recent work (a paper that will appear in CAISE-16) on how execu­tion histo­ries that record the process context, design, resour­cing and process perfor­mance can be mined for rules that suggest the optimal set of resources for a process instance in a given context. I will also describe how event logs can be mined for process task post-­con­di­tions (a paper that appeared in ER-15). Armed with these post-­con­di­tions, I will show how we can perform semantic process moni­to­ring and adap­ta­tion.

Bio

Aditya Ghose is a Professor of Computer Science at the Univer­sity of Wollon­gong, where he heads the Deci­sion Systems Lab and co-di­rects the Centre for Onco­logy Infor­ma­tics. He holds a PhD and MSc in Compu­ting Science from the Univer­sity of Alberta (he spent parts of his candi­da­ture at the Univer­sity of Illi­nois at Urba­na-Cham­paign and the Univer­sity of Tokyo) and a Bachelor of Computer Science and Engi­nee­ring from Jadavpur Univer­sity. Prof. Ghose is Presi­dent of the Service Science Society of Australia and a Fellow of the Insti­tu­tion of Engi­neers (Australia). Prof. Ghose works in busi­ness process manage­ment, service science, agent systems and formal know­ledge repre­sen­ta­tion and the appli­ca­tion of these in clinical infor­ma­tics. He works closely with IBM Rese­arch, Xerox Rese­arch, Infosys Labs and a variety of Austra­lian compa­nies (inclu­ding star­tups from his rese­arch group). In his spare time, Prof. Ghose enjoys explo­ring how compu­ta­tional tech­ni­ques can lead to a better under­stan­ding of the history of human civi­liza­tion.



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