CPS for Telehealth using Semantic Web Technology

Hanif Seddiqui

University of Chittagong, Bangladesh & University Lumière, Lyon

Monday 30th May 2016, 14h

Amphithéatre F107, Inria Grenoble Rhône-Alpes, Montbonnot


The Cyber-Physical Systems (CPS) emergence allows computation and communication abilities to link software environments with a physical world through sensors. Sensors usually produce Big Data that needs to be managed in costly data center. CPS can bring, through their physic and cyber interactions using sensors, a way to minimize the number of measurement or the way to do these measurements to retrieve only interesting data. Eventually, the data is then associated to semantic knowledge to identify important events, which collectively form a Semantic Complex Event Processing (SCEP). We focus on the possibility of introducing this CPS inspired SCEP to the patient follow-up data to identify the necessity of assistance of physicians, nurses, or other health care-providers.


Md. Hanif Seddiqui is a Professor in the Department of Computer Science and Engineering, University of Chittagong, Bangladesh. Currently, he has been researching as a post doctoral fellow under the European Erasmus Mundus cLINK Programme in the DISP Laboratory, University Lumiere Lyon 2, France.

Seddiqui obtained Master of Engineering and Doctor of Engineering degrees from Toyohashi University of Technology, Japan with a number of research awards. His doctoral dissertation title was “Ontology Alignment and Its Application to Knowledge Engineering”. He has developed a scalable algorithm in the field of large ontology alignment, called Anchor-Flood algorithm, which was presented in Ontology Alignment Evaluation Initiative (OAEI) campaign, 2008 (Germany) and 2009 (USA) and the contribution was published in the Journal of Web Semantics, and this research contribution has been highly cited by the research community. Moreover, he has a few more contributions on instance matching, Semantic NLP, healthcare and geospatial domain using semantic technology as well.

His current research interest is in Machine Learning techniques in semantic NLP, semantic web, Information Access (IA), Healthcare and Cyber-Physical Systems (CPS). He is a regular member of the conference program committees in the areas of machine learning, data mining, and semantic web. Moreover, he is a regular reviewer of some journals. He is passionate about helping students and young researchers to get a good start in their careers.

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