Publications

Das AK, Lee K, Park S-J (2018) ParLECH: Parallel Long-Read Error Correction with Hadoop. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, Madrid, Spain, pp 341–348
Das AK, Goswami S, Lee K, Park S-J (2019) A hybrid and scalable error correction algorithm for indel and substitution errors of long reads. BMC Genomics 20:948. https://doi.org/10.1186/s12864-019-6286-9
Goswami S, Lee K, Shams S, Park S-J (2018) GPU-Accelerated Large-Scale Genome Assembly. In: 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, Vancouver, BC, pp 814–824
Goswami S, Pokhrel A, Lee K, et al (2019) GraphMap: scalable iterative graph processing using NoSQL. J Supercomput. https://doi.org/10.1007/s11227-019-03097-w
Mihunov VV, Lam NSN, Zou L, et al (2020) Use of Twitter in disaster rescue: lessons learned from Hurricane Harvey. International Journal of Digital Earth 0:1–13.
Shams S, Goswami S, Lee K, et al (2018) Towards Distributed Cyberinfrastructure for Smart Cities Using Big Data and Deep Learning Technologies. In: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS). IEEE, Vienna, pp 1276–1283
Shams S, Platania R, Kim J, et al (2018) A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks. In: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics - BCB '18. ACM Press, Washington, DC, USA, pp 244–253
Shams S, Platania R, Zhang J, et al (2018) Deep Generative Breast Cancer Screening and Diagnosis. In: Frangi AF, Schnabel JA, Davatzikos C, et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Springer International Publishing, Cham, pp 859–867
Shams S, Goswami S, Lee K (2019) Deep Learning-Based Spatial Analytics for Disaster-Related Tweets: An Experimental Study. In: 2019 20th IEEE International Conference on Mobile Data Management (MDM). IEEE, Hong Kong, Hong Kong, pp 337–342
Singh D, Shams S, Kim J, et al (2020) Fighting for Information Credibility: An End-to-End Framework to Identify Fake News during Natural Disasters. 10
Wang Z, Lam NSN (2020) Extending Getis–Ord Statistics to Account for Local Space–Time Autocorrelation in Spatial Panel Data. The Professional Geographer 72:411–420. https://doi.org/10.1080/00330124.2019.1709215
Wang Z, Lam NSN, Obradovich N, Ye X (2019) Are vulnerable communities digitally left behind in social responses to natural disasters? An evidence from Hurricane Sandy with Twitter data. Applied Geography 108:1–8. https://doi.org/10.1016/j.apgeog.2019.05.001
Wang K, Lam NSN, Zou L, Mihunov V (2021) Twitter Use in Hurricane Isaac and Its Implications for Disaster Resilience. ISPRS International Journal of Geo-Information 10:116. https://doi.org/10.3390/ijgi10030116
Yang S, Ju B (2021) Library support for emergency management during the time of natural disasters: Through the lens of public library Twitter data. Library & Information Science Research 43:101072. https://doi.org/10.1016/j.lisr.2021.101072
Zou L, Lam NSN, Shams S, et al (2019) Social and geographical disparities in Twitter use during Hurricane Harvey. International Journal of Digital Earth 12:1300–1318.
Zou L, Lam NSN, Cai H, Qiang Y (2018) Mining Twitter Data for Improved Understanding of Disaster Resilience. Annals of the American Association of Geographers 108:1422–1441. https://doi.org/10.1080/24694452.2017.1421897