Indore : Prof Mircea Stan of University of Virginia, Charlottesville, here on Tuesday said that automata computing can help solve any type of complex and big data problems so as to decipher information on related subjects in the quickest possible time.
“Whether issues related to security aspects of a nation or deciphering biological information about human body in the medical field, automata computing can help solve all big data problems,” he said during his key-note address on ‘Solving Big Data Problems through Automata Computing’ on the second day of IEEE International symposium on Nanoelectronics and Information system,’ organised at Oriental University in association with IEEE Computer Society.
Stan said through automata computing, big data inputs on security and terror threats from terrorists received by intelligence agencies of a country, can be deciphered in quickest possible time and accordingly necessary steps can be taken to act fast on terror and security alerts.
Besides automata computing has its wide applications in other network analysis, video analysis, etc. Similarly in medical field also, automata computing can help solve big data problems to decipher all biological information about human body, Stan added.
Earlier in the morning session, Michel Renovell of University of Montpellier, France delivered keynote address on `Spot Defect Modelling: History and Perspective’. During various technical sessions organised on Tuesday, the experts shed light on various subjects related to nanoelectronics and presented research papers on the related subjects.
The symposium will conclude on Wednesday with a keynote address by Sandip Kundu of University of Massachusetts, Amherst, MA.
Dr Dhruva Ghai, General Chair iNIS and Dean (Technologies, Oriental University, Indore) said the very objective of iNIS 2015 which saw series of keynote addresses, presentation of research papers has primarily dwelt upon efficient and secure data sensing, storage and processing which play an important role in the current information age.