Jithin K Sreedharan

Employment

• Purdue University Postdoctoral Research Associate
  2017 - Present
• NSF Center for Science of Information (CSoI) Intern
  2016 - 2016
• Inria Centre de Recherche Sophia Antipolis Méditerranée PhD Research Fellow
  2013 - 2016
• Indian Institute of Science Research Associate
  2009 - 2013

Education

• INRIA PhD
  2013 - 2016
• Indian Institute of Science MS
  2009 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• Sufficiently Informative and Relevant Features: An Information-Theoretic and Fourier-Based Characterization
  IEEE Transactions on Information Theory 2022 DOI: 10.1109/TIT.2022.3169998
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• Revisiting Parameter Estimation in Biological Networks: Influence of Symmetries
  IEEE/ACM Transactions on Computational Biology and Bioinformatics 2021 DOI: 10.1109/TCBB.2020.2980260
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• Temporal Ordered Clustering in Dynamic Networks: Unsupervised and Semi-Supervised Learning Algorithms
  IEEE Transactions on Network Science and Engineering 2021 DOI: 10.1109/TNSE.2021.3058376
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• Revisiting Parameter Estimation in Biological Networks: Influence of Symmetries
  2019 DOI: 10.1101/674739
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• Revisiting random walk based sampling in networks: evasion of burn-in period and frequent regenerations
  Computational Social Networks 2018 DOI: 10.1186/s40649-018-0051-0
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• Hamiltonian system approach to distributed spectral decomposition in networks
  2017 10th International Workshop on Multidimensional (nD) Systems, nDS 2017 2017 DOI: 10.1109/NDS.2017.8070631
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• Recovery of vertex orderings in dynamic graphs
  IEEE International Symposium on Information Theory - Proceedings 2017 DOI: 10.1109/ISIT.2017.8006792
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• Distributed spectral decomposition in networks by complex diffusion and quantum random walk
  Proceedings - IEEE INFOCOM 2016 DOI: 10.1109/INFOCOM.2016.7524376
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• Inference in OSNs via lightweight partial crawls
  SIGMETRICS/ Performance 2016 - Proceedings of the SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Science 2016 DOI: 10.1145/2896377.2901477
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• Comparison of random walk based techniques for estimating network averages
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2016 DOI: 10.1007/978-3-319-42345-6_3
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