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Berkay Aydin

Asst Professor Research    
Education

B.S., Computer Engineering, Bilkent University, 2012
M.S., Computer Science, Georgia State University, 2016
Ph.D., Computer Science, Georgia State University, 2017

Specializations

Data mining, databases, data integration

Biography

I am from Ankara, Turkey. I received my Ph.D. and M.S. degrees in computer science from Georgia State University and a B.S. degree in computer engineering from Bilkent University. I am currently a research assistant professor in the Department of Computer Science. I am a senior member of the Data Mining Lab (DMLab) at Georgia State University. Our group works on broad areas of data mining and knowledge discovery from solar big data, including computer vision, indexing, data management and integration, deep learning, frequent pattern mining, and time series mining.

My research explores the processing, management, and integration of temporal and spatiotemporal data. Presently, I am especially interested in creating data integration and analysis pipelines for heterogeneous large-scale solar data resources. More information about my current projects can be found at my website.

Publications

B. Aydin and R. A. Angryk, Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories, Springer, 2018, ISBN 978-3-319-99873-2.

S. Filali Boubrahimi, B. Aydin, M. Schuh, D. Kempton, R. A. Angryk, and R. Ma, Spatiotemporal interpolation methods for solar event trajectories, The Astrophysical Journal Supplement Series, vol. 236, no. 1, 2018, p. 23.

B. Aydin, A. Kucuk, and R. A. Angryk, Measuring the significance of spatiotemporal co-occurrences, ACM Transactions on Spatial Algorithms and Systems (TSAS), vol. 3, no. 3, 2017, p. 9.

B. Aydin and R. A. Angryk, A graph-based approach to spatiotemporal event sequence mining, Proceedings of the 16th IEEE International Conference on Data Mining Workshops (ICDMW 2016), pp. 1090–1097.

B. Aydin and R. A. Angryk, Spatiotemporal event sequence mining from evolving regions, Proceedings of the 23rd International Conference on Pattern Recognition (ICPR 2016), pp. 4167–4172.

B. Aydin, V. Akkineni, and R. A. Angryk, Mining spatiotemporal co-occurrence patterns in non-relational databases, GeoInformatica, vol. 20, no. 4, 2016, pp. 801–828.

B. Aydin, D. Kempton, V. Akkineni, R. Angryk, and K. G. Pillai, Mining spatiotemporal co-occurrence patterns in solar datasets, Astronomy and Computing, vol. 13, 2015, pp. 136–144.

K. G. Pillai, R. A. Angryk, and B. Aydin, A filter-and-refine approach to mine spatiotemporal co-occurrences, Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2013), pp. 104–113.