Michael Nelson, PhD

Michael Nelson, PhD

he/him/Doc

Full stack software engineer, researcher, and entrepreneur.

Publications

You can also find my articles on my Google Scholar profile.

Published Articles

Queryable Compression on Time-evolving Web and Social Networks with Streaming

Published in ACM Transactions on the Web (ACM Trans. Web), 2021

This paper proposes a compressed data structure for time-evolving web and social networks, enabling efficient queries and streaming operations.

Recommended citation: Nelson, Michael, Radhakrishnan, Sridhar, Sekharan, Chandra, Chatterjee, Amlan, Krishna, Sudhindra Gopal. (2021). "Queryable Compression on Time-evolving Web and Social Networks with Streaming." ACM Transactions on the Web (ACM Trans. Web). 16(2).

On Compressing Time-Evolving Networks

Published in ALLDATA 2021, The Seventh International Conference on Big Data, Small Data, Linked Data and Open Data, 2021

This paper investigates compression techniques for time-evolving networks.

Recommended citation: Krishna, S Gopal, Nelson, Michael, Radhakrishnan, Sridhar, Chatterjee, Amlan, Sekharan, Chandra. (2021). "On Compressing Time-Evolving Networks." ALLDATA 2021, The Seventh International Conference on Big Data, Small Data, Linked Data and Open Data. 43-48.

Billion-Scale Matrix Compression and Multiplication with Implications in Data Mining

Published in 2018 IEEE International Conference on Information Reuse and Integration (IRI), 2019

This paper discusses billion-scale matrix compression and its applications in data mining.

Recommended citation: Nelson, Michael, Radhakrishnan, Sridhar, Sekharan, Chandra N. (2019). "Billion-Scale Matrix Compression and Multiplication with Implications in Data Mining." 2018 IEEE International Conference on Information Reuse and Integration (IRI).

Algorithms on Compressed Time-Evolving Graphs

Published in 2019 IEEE International Conference on Big Data (Big Data), 2019

This paper explores algorithms for compressed time-evolving graphs.

Recommended citation: Nelson, Michael, Radhakrishnan, Sridhar, Sekharan, Chandra N. (2019). "Algorithms on Compressed Time-Evolving Graphs." 2019 IEEE International Conference on Big Data (Big Data).

Queryable Compression on Time-Evolving Social Networks with Streaming

Published in 2018 IEEE International Conference on Big Data (Big Data), 2018

This paper presents queryable compression methods for time-evolving social networks with streaming.

Recommended citation: Nelson, Michael, Radhakrishnan, Sridhar, Sekharan, Chandra N. (2018). "Queryable Compression on Time-Evolving Social Networks with Streaming." 2018 IEEE International Conference on Big Data (Big Data). 146-151.

Queryable compression on streaming social networks

Published in 2017 IEEE International Conference on Big Data (Big Data), 2017

This paper introduces queryable compression techniques for streaming social networks.

Recommended citation: Nelson, Michael, Radhakrishnan, Sridhar, Chatterjee, Amlan, Sekharan, Chandra N. (2017). "Queryable compression on streaming social networks." 2017 IEEE International Conference on Big Data (Big Data). 988-993.

Exploiting topological structures for graph compression based on quadtrees

Published in 2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2016

This paper explores graph compression techniques leveraging topological structures and Quadtrees.

Recommended citation: Chatterjee, A., Levan, M., Lanham, C., Zerrudo, M., Nelson, M., Radhakrishnan, S. (2016). "Exploiting topological structures for graph compression based on quadtrees." 2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). 192-197.

On compressing massive streaming graphs with Quadtrees

Published in 2015 IEEE International Conference on Big Data (Big Data), 2015

This paper discusses compressing massive streaming graphs using Quadtrees.

Recommended citation: Nelson, Michael, Radhakrishnan, Sridhar, Chatterjee, Amlan, Sekharan, Chandra N. (2015). "On compressing massive streaming graphs with Quadtrees." 2015 IEEE International Conference on Big Data (Big Data). 2409-2417.