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ORCIDShehzad Afzal
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2020 – today
- 2023
[j7]Shehzad Afzal
, Sohaib Ghani, Mohamad Mazen Hittawe, Sheikh Faisal Rashid, Omar M. Knio, Markus Hadwiger, Ibrahim Hoteit:
Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey. ACM Trans. Interact. Intell. Syst. 13(1): 5:1-5:41 (2023)- [c13]James Kress, Shehzad Afzal, Hari Prasad Dasari, Sohaib Ghani, Arjan Zamreeq, Ayman Ghulam, Ibrahim Hoteit:
Visualization Environment for Analyzing Extreme Rainfall Events: A Case Study. EnvirVis@EuroVis 2023: 25-32 - [c12]Ramakrishna P. Pammi, Shehzad Afzal, Hari Prasad Dasari, Muhammad Yousaf, Sohaib Ghani, Murali Sankar Venkatraman, Ibrahim Hoteit:
A Visual Analytics Framework for Renewable Energy Profiling and Resource Planning. EuroVA@EuroVis 2023: 49-54 - [c11]James Kress, Glendon Holst, Hari Prasad Dasari, Shehzad Afzal, Ibrahim Hoteit, Thomas Theußl:
Inshimtu - A Lightweight In Situ Visualization "Shim". ISC Workshops 2023: 257-268 - 2020
- [c10]Jieqiong Zhao, Morteza Karimzadeh, Hanye Xu, Abish Malik, Shehzad Afzal, Guizhen Wang, Niklas Elmqvist, David S. Ebert:
Route Packing: Geospatially-Accurate Visualization of Route Networks. HICSS 2020: 1-10 - [c9]Shehzad Afzal, Sohaib Ghani, Hank C. Jenkins-Smith, David S. Ebert, Markus Hadwiger, Ibrahim Hoteit:
A Visual Analytics Based Decision Making Environment for COVID-19 Modeling and Visualization. IEEE VIS (Short Papers) 2020: 86-90 - [i2]Shehzad Afzal, Sohaib Ghani, Hank C. Jenkins-Smith, David S. Ebert, Markus Hadwiger, Ibrahim Hoteit:
A Visual Analytics Based Decision Making Environment for COVID-19 Modeling and Visualization. CoRR abs/2010.11897 (2020)
2010 – 2019
- 2019
- [j6]Shehzad Afzal, Mohamad Mazen Hittawe, Sohaib Ghani, Tahira Jamil, Omar M. Knio, Markus Hadwiger, Kevin I.-J. Ho:
The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets. Comput. Graph. Forum 38(3): 881-907 (2019) - [j5]Mohamad Mazen Hittawe, Shehzad Afzal, Tahira Jamil, Hichem Snoussi, Ibrahim Hoteit, Omar M. Knio:
Abnormal events detection using deep neural networks: application to extreme sea surface temperature detection in the Red Sea. J. Electronic Imaging 28(2): 021012 (2019) - [c8]Shehzad Afzal, Sohaib Ghani, Garth Tissington, Sabique Langodan, Hari Prasad Dasari, Dionysios E. Raitsos, John A. Gittings, Tahira Jamil, Madhusudhanan Srinivasan, Ibrahim Hoteit:
RedSeaAtlas: A Visual Analytics Tool for Spatio-temporal Multivariate Data of the Red Sea. EnvirVis@EuroVis 2019: 25-32 - [i1]Jieqiong Zhao, Morteza Karimzadeh, Hanye Xu, Abish Malik, Shehzad Afzal, Guizhen Wang, Niklas Elmqvist, David S. Ebert:
Route Packing: Geospatially-Accurate Visualization of Route Networks. CoRR abs/1909.10173 (2019) - 2018
- [c7]Thomas Gorko, Calvin Yau, Abish Malik, Matt Harris, Jun Xiang Tee, Ross Maciejewski, Cheryl Z. Qian, Shehzad Afzal, Bryan Pijanowski, David S. Ebert:
A Multi-Scale Correlative Approach for Crowd-Sourced Multi-Variate Spatiotemporal Data. HICSS 2018: 1-10 - 2017
- [b1]Shehzad Afzal:
Text-based Spatial and Temporal Visualizations and their Applications in Visual Analytics. Purdue University, USA, 2017 - [c6]Guizhen Wang, Abish Malik, Chittayong Surakitbanharn, Jose Florencio de Queiroz Neto, Shehzad Afzal, Siqiao Chen, David Wiszowaty, David S. Ebert:
A client-based visual analytics framework for large spatiotemporal data under architectural constraints. DSIA 2017: 1-5 - 2016
- [j4]Sungahn Ko, Isaac Cho, Shehzad Afzal, Calvin Yau, Junghoon Chae, Abish Malik, Kaethe Beck, Yun Jang, William Ribarsky, David S. Ebert:
A Survey on Visual Analysis Approaches for Financial Data. Comput. Graph. Forum 35(3): 599-617 (2016) - 2014
- [j3]Sungahn Ko, Jieqiong Zhao, Jing Xia, Shehzad Afzal, Xiaoyu Wang, Greg Abram, Niklas Elmqvist, Len Kne, David Van Riper, Kelly P. Gaither, Shaun Kennedy, William J. Tolone, William Ribarsky, David S. Ebert:
VASA: Interactive Computational Steering of Large Asynchronous Simulation Pipelines for Societal Infrastructure. IEEE Trans. Vis. Comput. Graph. 20(12): 1853-1862 (2014) - [c5]Ahmad M. Razip, Abish Malik, Shehzad Afzal, Matthew Potrawski, Ross Maciejewski, Yun Jang, Niklas Elmqvist, David S. Ebert:
A Mobile Visual Analytics Approach for Law Enforcement Situation Awareness. PacificVis 2014: 169-176 - [c4]Sungahn Ko, Shehzad Afzal, Simon J. Walton, Yang Yang, Junghoon Chae, Abish Malik, Yun Jang, Min Chen, David S. Ebert:
Analyzing high-dimensional multivaríate network links with integrated anomaly detection, highlighting and exploration. IEEE VAST 2014: 83-92 - [c3]Jiawei Zhang, Shehzad Afzal, Dallas Breunig, Jing Xia, Jieqiong Zhao, Isaac Sheeley, Joseph Christopher, David S. Ebert, Chen Guo, Shang Xu, Jim Yu, Qiaoying Wang, Chen Wang, Zhenyu Cheryl Qian, Yingjie Victor Chen:
Real-time identification and monitoring of abnormal events based on microblog and emergency call data using SMART. IEEE VAST 2014: 393-394 - 2012
- [j2]Shehzad Afzal, Clemens Brand:
Recognizing triangulated Cartesian graph products. Discret. Math. 312(1): 188-193 (2012) - [j1]Shehzad Afzal, Ross Maciejewski, Yun Jang, Niklas Elmqvist, David S. Ebert:
Spatial Text Visualization Using Automatic Typographic Maps. IEEE Trans. Vis. Comput. Graph. 18(12): 2556-2564 (2012) - 2011
- [c2]Shehzad Afzal, Ross Maciejewski, David S. Ebert:
Visual analytics decision support environment for epidemic modeling and response evaluation. IEEE VAST 2011: 191-200 - 2010
- [c1]Abish Malik, Shehzad Afzal, Erin Hodgess, David S. Ebert, Ross Maciejewski:
VACCINATED - Visual analytics for characterizing a pandemic spread VAST 2010 Mini Challenge 2 award: Support for future detection. IEEE VAST 2010: 281-282
Coauthor Index
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