Prof. Aditya Ghose has been invited to deliver a 2-week course on "Computational Service Science" as part of the Prime Minister of India's key educational project, GIAN, under which under which foreign scholars teach at India’s leading technology institutes to build knowledge and transform higher education across the country.
DSL authors Renuka Sindhgatta (also of IBM Research India), Prof. Aditya Ghose and Dr. Hoa Dam will report on a novel framework that uses data analytics for optimal business process provisioning at the 2016 International Conference on Advanced Information Systems Engineering (CAISE), the premier conference in this area (acceptance rate: 16.5%)
Prof. Aditya Ghose, Prof. Andrew Miller and Dr. David Stirling were among the authors of a submission (with Prof. David Thwaites of the University of Sydney as lead author) entitled "Mining routine radiation oncology clinical datasets within a distributed rapid learning framework: the potential for supporting optimised clinical decisions" that won the Best Abstract Award at the Cancer Institute of NSW Innovations in Cancer Treatment and Care Conference 2014.
Prof. John Mylopoulos, eminent software engineering and conceptual modelling researcher, is currently visiting the Decision Systems Lab for a period of 3 weeks. His visit was preceded by a visit by Prof. Akhil Kumar from Penn State University in early January.
The Decision Systems Lab/Centre for Oncology Informatics has initiated a new collaboration with the Liverpool Hospital on radiation oncology decision support, funded by a $114,000 research contract.
Prof. Aditya Ghose presented a keynote at a plenary session of Int'l Conf. on Service-Oriented Computing Workshops on Nov. 16th, 2015 in Goa, India.
Prof. Aditya Ghose has been invited to deliver a keynote at a joint plenary session of the Service-Oriented Enterprise Architecture and Evolutionary Business Process Workshops at the EDOC-2015 conference (Adelaide, September, 2015). His keynote title: "The post-theoretic enterprise: Data-driven evolution of enterprise functionality".
SPEAKER: Tridib Mukherjee Senior Research Scientist Xerox Research Center India (XRCI)
DATE: Thursday, June 30, 2016
TIME: 4pm onwards
TITLE: Cloud-driven Participatory Sensing for Urban Informatics
Abstract: The rapid advancements in sensing, computation and communications have led to the proliferation of smart phones. People-centric sensing is a scientific paradigm which empowers citizens with sensor-embedded smartphones, to contribute to micro and macro-scale urban sensing applications – either implicitly (in an opportunistic manner) or explicitly (in a participatory manner). Community-based urban sensing applications, are typically participatory in nature. For instance, commuters reporting on a transit overload may explicitly need to provide an input through an app to report on the overload. This talk will focus on the trends, challenges and applications of participatory sensing systems. Additionally, the talk will cover the solution requirements for effective deployments of such systems in real scenarios. The solution approach cuts across a multiple computer science disciplines such as, large-scale data management, cloud computing, platform design principles, and data analytics & mining.
Bio: Tridib Mukherjee is a Senior Research Scientist at the Xerox Research Center India (XRCI). He works in the broad areas of Distributed Computing, Cloud Computing, Large-scale Systems, Green Computing, Sensor Networks, Mobile Computing, and Services Computing. He joined XRCI in September 2011 and has since been involved in exploring research and business opportunities in efficient delivery of SaaS offerings and other enterprise applications. Tridib’s work on CloudAdvisor, a cloud configuration recommendation system for enterprise application, won the prestigious IEEE Cloud Cup in 2013. He is currently working on platform optimizations in enterprise clouds for efficient service management as well as for large scale mobile, participatory, & pervasive sensing, data integration & analytics (especially for smarter city applications). Prior to joining Xerox, Tridib was a Postdoctoral Research Scholar at the Arizona State University where he worked on data center optimization and body sensor networks. Tridib has co-authored a book, multiple book chapters, and published over 50 papers in reputed journals and conferences. Tridib also has 3 granted US patents in addition to more than 30 US patents filed.
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