KARTIK VISHAL DESHPANDE

About

A creative and results-oriented researcher looking for a demanding role in the AI/ML research fields, especially passionate about gleaning valuable insights from large datasets. With a solid foundation in data science, machine learning, and statistical analysis, my goal is to utilize my abilities to decipher intricate datasets and uncover important patterns, trends, and insights. I'm excited to add my knowledge and abilities to a vibrant team. My goal is to use cutting-edge data analytics methodologies, streamline data processing workflows, and provide creative solutions that use big data to make well-informed decisions in order to support an innovative firm. I am dedicated to keeping up with the latest developments in AI/ML, and I am well-positioned to contribute significantly to the success of a progressive company. My work so far involves dealing with writing algorithms related to Big Data Clustering, Spatio-Temporal Data Clustering (in centralized and distributed systems), Visual Assessment of Clustering, High dimensional voluminous data clustering (Unsupervised Learning, Pattern Recognition) and Predictive Modeling.

Employment

• Indian Institute of Technology Roorkee

Education

• University of Alberta SERB-OVDF Fellow
  2023 - 2024
• Indian Institute of Technology Roorkee Senior Research Fellow
  2019 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• Finding Prominent Clusters in VAT Family of Algorithms
  2027 DOI: 10.1007/978-3-032-34896-8_1
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• dnccVAT : A Fully Distributed Approach for Clustering Tendency Assessment of IoT Generated Spatio-Temporal Data
  IEEE Transactions on Parallel and Distributed Systems 2026 DOI: 10.1109/TPDS.2026.3657795
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• Time and memory scalable algorithms for clustering tendency assessment of big data
  Information Sciences 2024 DOI: 10.1016/j.ins.2024.120324
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• A novel algorithm for evaluating clustering propensity of IoT-generated spatio-temporal data geared for distributed systems
  IEEE Sensors Journal 2023 DOI: 10.1109/JSEN.2023.3322464
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• A Novel clustering tendency assessment algorithm for WSN generated Spatio-Temporal data
  2021 National Conference on Communications (NCC) 2021 DOI: 10.1109/NCC52529.2021.9530138
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• Investigation on IMCP based clustering in LTE-M communication for smart metering applications
  Engineering Science and Technology, an International Journal 2017 DOI: https://doi.org/10.1016/j.jestch.2017.04.004
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• Design of an improved energy efficient clustering in M2M communication
  2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015] 2015 DOI: 10.1109/ICCPCT.2015.7159254
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