Rachit is an Associate Director of the Data Science and Analytics at MerkleScience. Before joining Merkle Science, he was a Senior Project Executive Engineer at IIT Kanpur, where he focused his research on blockchain technology and identifying security threats therein. At IIT Kanpur, he led a small group of around 20 people with an aim to build a cryptocurrency forensics lab pioneering in the research and development of security aspects within cryptocurrency infrastructure. Before joining IIT Kanpur, he worked at Inria-Paris in the Mimove team as a Postdoc/research engineer. At Inria, his research focused on Semantics Web, Human Mobility, and Middleware in the context of large-scale mobile sensing. He obtained his Ph.D. from the University of Pierre and Marie Curie, Paris, with the lab situated at Telecom SudParis, Evry, in 2013. His Ph.D. focused on building algorithms to enhance dissemination across the wireless network.
Rachit’s expertise and research interests mainly span the areas related to understanding Network oriented aspects of Human Mobility as well as Cyber Systems such as Blockchains with applications to Cyber-Security. He is also interested in Semantic Web technologies, Smart Cities, and CrowdSourcing.
PhD in Computer Science and Telecommunications, 2013
University of Pierre and Marie Curie, Paris, France
MS in Computer Science, 2008
University of North Carolina at Charlotte, US
BTech in Information Technology, 2006
Jaypee Institute of Information Technology, Noida, India
Positions held
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Design of a parallel processor for Natural Language Processing applications (NLP) project. The project used Xilinx Toolkit and Spartan 3E FPGA.
About:
Responsibilities include:
The nature of graphs modeling accounts as nodes and transactions as directed edges – for a blockchain, enables us to understand …
A Plethora of data is being generated and made available via sensing technologies including humans. However, there is no comprehensive …
One of the major factor that affects the dymanicity of the neteworks is human mobility. Human mobility has associated properties and …
Information dissemination across the network is a critical aspect. Dissemination of information should be context dependent and, if …
Awards, Honors, Recognision
Professional