Last updated: December 31, 2021 · Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Project
NSF IIS #1350885
The goal of this CAREER project is to address the research challenges for delivering a high performance software system for spatial queries and analytics of spatial big data on MapReduce and CPU-GPU hybrid platforms, promote the use of the created open source software to support problem solving in multiple disciplines, and educate the next generation workforce in big data.
People
Principal Investigator: Fusheng Wang
Students:
- Kayley Abell-Hart, Ph.D. student, Stony Brook University
- Hongyi Duanmu, Ph.D. student, Stony Brook University
- Mousumi Roy, Ph.D. student, Stony Brook University
- Lu Chen, Ph.D. student, Stony Brook University
Past Members:
- Dejun Teng, Ph.D., Stony Brook University — First employment: Alibaba
- Furqan Baig, Ph.D., Stony Brook University — First employment: PostDoc at UIUC
- Hoang Vo, Ph.D., Stony Brook University — First employment: Pitney Bowes
- Xin Chen, Ph.D., Stony Brook University — First employment: Cambia Health Solutions
- Yanhui Liang, Ph.D., Stony Brook University — First employment: Google Research
- Ablimit Aji, Stony Brook University — First employment: HP Labs
Publications
- Fiona Murphy, Kayley Abell-Hart and Fusheng Wang: A Fine-grain Geospatial and Demographic Analysis of Breast Cancer Patterns in New York State. IEEE BigData 2021 REU Symposium. December 15, 2021.
- Dejun Teng, Yanhui Liang, Hoang Vo, Jun Kong and Fusheng Wang: Efficient 3D Spatial Queries for Complex Objects. ACM Transactions on Spatial Algorithms and Systems (TSAS).
- Dejun Teng, Akshay Nehe, Prajeeth Emanuel, Furqan Baig, Jun Kong and Fusheng Wang: GPU-based Real-time Contact Tracing at Scale. ACM SIGSPATIAL 2021, November 2–5, 2021, Beijing, China.
- Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li, Chia Cheng Cheng, Fusheng Wang, George Teodoro, Emiel A.M. Janssen, Keerthi Gogineni, Preeti Subhedar, Ritu Aneja, Jun Kong: Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains. MICCAI 2021.
- Hongyi Duanmu, Fusheng Wang, George Teodoro and Jun Kong: Foveal Blur-Boosted Segmentation of Nuclei in Histopathology Images with Shape Prior Knowledge and Probability Map Constraints. Bioinformatics. Volume 37, Issue 21, November 2021.
- Anthony Xiang, Wei Hou, Sina Rashidian, Richard N Rosenthal, Kayley Abell-Hart, Xia Zhao and Fusheng Wang: Association of Opioid Use Disorder With 2016 Presidential Voting Patterns: A Cross-Sectional Study in New York State at Census Tract Level. JMIR Public Health Surveill 2021;7(4):e23426.
- Xin Chen, Wei Hou, Sina Rashidian, Yu Wang, Xia Zhao, George Stuart Leibowitz, Richard N Rosenthal, Mary Saltz, Joel H Saltz, Elinor Randi Schoenfeld and Fusheng Wang: A Large-Scale Retrospective Study of Opioid Poisoning in New York State with Implications for Targeted Interventions. Scientific Reports 11, 5152 (2021).
- Furqan Baig, Dejun Teng, Jun Kong and Fusheng Wang: SPEAR: Dynamic Spatio-Temporal Query Processing over High Velocity Data Streams. IEEE ICDE 2021, Chania, Greece.
- Mousumi Roy, Jun Kong, Satyananda Kashyap, Vito Paolo Pastore, Fusheng Wang, Ken C. L. Wong and Vandana Mukherjee: Convolutional Autoencoder Based Model HistoCAE for Segmentation of Viable Tumor Regions in Liver Whole-Slide Images. Scientific Reports 11, 139 (2021).
- Mousumi Roy, Fusheng Wang*, Hoang Vo, Dejun Teng, George Teodoro, Alton Farris III, Eduardo Castillo-Leon, Miriam Vos and Jun Kong*: Deep Learning Based Accurate Hepatic Steatosis Quantification for Histological Assessment of Liver Biopsies. Laboratory Investigation. 100, 1367–1383 (2020).
- Hongyi Duanmu, Pauline Boning Huang, Srinidhi Brahmavar, Stephanie Lin, Thomas Ren, Jun Kong, Fusheng Wang* and Tim Duong*: Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Deep Learning with Integrative Imaging, Molecular and Demographic Data. MICCAI 2020.
- Furqan Baig, Chao Gao, Dejun Teng, Jun Kong and Fusheng Wang: Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform with CUDA and OpenACC. Frontiers in Big Data. May 2020.
- Elinor Schoenfeld, George Leibowitz, Yu Wang, Xin Chen, Wei Hou, Sina Rashidian, Mary M Saltz, Joel H Saltz, and Fusheng Wang: Geographic, temporal and sociodemographic differences in opioid poisoning. American Journal of Preventive Medicine. Volume 57, Issue 2, 2019.
- Pengyue Zhang, Fusheng Wang, George Teodoro, Yanhui Liang, Mousumi Roy, Daniel Brat and Jun Kong: Effective nuclei segmentation with sparse shape prior and dynamic occlusion constraint for glioblastoma pathology images. Journal of Medical Imaging. 6(1), 017502 (2019).
- Chao Gao, Furqan Baig, Hoang Vo, Yangyang Zhu and Fusheng Wang: Accelerating Cross-Matching Operations of Geospatial Datasets using a CPU/GPU Hybrid Platform. IEEE Big Data 2018. (Best paper award.)
- Daniel Kim, Fusheng Wang and Chrisa Arcan: Geographic Association Between Income Inequality and Obesity Among Adults in New York State. Preventing Chronic Disease. Vol 15:180217, 2018.
- Hoang Vo, Jun Kong, Dejun Teng, Yanhui Liang, Ablimit Aji, George Teodoro and Fusheng Wang: MaReIA: A Cloud MapReduce Based High Performance Whole Slide Image Analysis Framework. Distributed and Parallel Databases. 37(2), 2019.
- Dejun Teng, Jun Kong and Fusheng Wang: Scalable and Flexible Management of Medical Image Big Data. Distributed and Parallel Databases. 37(2), 2019.
- Xin Chen, Hoang Vo, Yu Wang and Fusheng Wang: A Framework for Annotating OpenStreetMap Objects Using Geo-tagged Tweets. Geoinformatica. Volume 22, Issue 3, 2018.
- Ablimit Aji and Fusheng Wang: Challenges and Approaches in Spatial Big Data Management. "Big Data: Storage, Sharing, and Security (3S)". Auerbach Publications, 2016.
- Fusheng Wang, Ablimit Aji and George Teodoro: High Performance Spatial Queries for Spatial Big Data: from Medical Imaging to GIS. ACM SIGSPATIAL Special, Vol 6(3), November 2014.
- Xin Chen, Hoang Vo, Ablimit Aji and Fusheng Wang: High Performance Integrated Spatial Big Data Analytics. ACM SIGSPATIAL BigSpatial-2014, Dallas, TX.
- Ablimit Aji, George Teodoro and Fusheng Wang: Haggis: Turbo Charge A MapReduce based Spatial Data Warehousing System with GPU Engine. ACM SIGSPATIAL BigSpatial-2014, Dallas, TX.
- Ablimit Aji, George Teodoro and Fusheng Wang: SATO: A Spatial Data Partitioning Framework for Scalable Query Processing. ACM SIGSPATIAL 2014, Dallas, TX.
Software
Patent
- Y. Liang, F. Wang and H. Vo: System and method associated with progressive spatial analysis of prodigious 3D data including complex structures. United States Patent No. 11,188,738. November 30, 2021.