Dr Punit Rathore

November 17, 2020 | Tuesday | 12 PM

ABSTRACT

Every day an abundant amount of data is generated from various sources such as IoT networks, smartphones, and social network activities. Making sense of such an unprecedented amount of data is essential for many businesses, services and almost for every domain of smart city application. Therefore, scalable and efficient algorithms are required to manage and extract useful information from big data. In this talk, Dr Punit Rathore will discuss his research work on “big data cluster analysis” for knowledge discovery from large volumes of data that are possibly unlabeled, anomalous, streaming, and/or high dimensional. He will also discuss some of the applications of his algorithms for smart city context, particularly for environment monitoring and intelligent transportation systems.

BIOGRAPHY

Dr Punit Rathore is currently a Postdoctoral Researcher in Senseable City Lab at Massachusetts Institute of Technology (MIT), Cambridge, USA, where he is working on urban analytics and Spatio-temporal data mining. Previously, he was a Postdoctoral Researcher at Grab-NUS AI Lab, Institute of Data Science, National University of Singapore (NUS), where he worked on transportation-related problems with particular emphasis on driver behaviour analysis, driver profiling for taxi allocation, and location modelling. Dr Rathore completed his Masters (M.Tech) from Indian Institute of Technology Kharagpur in 2011 and Doctor of Philosophy (PhD) from the Department of Electrical and Electronics Engineering, the University of Melbourne in Jan-2019. Dr Punit Rathore has published more than a dozen of first-author papers in top IEEE/ACM journals and conferences in his field of research. His research work has also been internationally recognized with multiple best-paper awards at world-recognized IEEE conferences and best thesis prizes by IEEE System, Man, and Cybernetics Society (SMC) and Melbourne School of Engineering, the University of Melbourne.

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