A system for large-scale analysis of distributed cameras. - Ahmed S. Kaseb; Everett Berry; Youngsol Koh; Anup Mohan; Wenyi Chen; He Li 002; Yung-Hsiang Lu; Edward J. Delp (GlobalSIP, 2014)

Harvest the Information from Multimedia Big Data in Global Camera Networks. - Wei-Tsung Su; Yung-Hsiang Lu; Ahmed S. Kaseb (BigMM, 2015)

Cloud Resource Management for Image and Video Analysis of Big Data from Network Cameras. - Ahmed S. Kaseb; Anup Mohan; Yung-Hsiang Lu (CCBD, 2015)

An interactive web-based system using cloud for large-scale visual analytics. - Ahmed S. Kaseb; Everett Berry; Erik Rozolis; Kyle McNulty; Seth Bontrager; Youngsol Koh; Yung-Hsiang Lu; Edward J. Delp (IMAWM, 2015)

Worldview and route planning using live public cameras. - Ahmed S. Kaseb; Wenyi Chen; Ganesh Gingade; Yung-Hsiang Lu (IMAWM, 2015)

Multimedia content creation using global network cameras: The making of CAM2. - Ahmed S. Kaseb; Youngsol Koh; Everett Berry; Kyle McNulty; Yung-Hsiang Lu; Edward J. Delp (GlobalSIP, 2015)

Location Based Cloud Resource Management for Analyzing Real-Time Videos from Globally Distributed Network Cameras. - Anup Mohan; Ahmed S. Kaseb; Yung-Hsiang Lu; Thomas J. Hacker (CloudCom, 2016)

A cost-effective cloud-based system for analyzing big real-time visual data from thousands of network cameras - Ahmed S. Kaseb (2016)

Creating the World's Largest Real-Time Camera Network. - Ryan Dailey; Ahmed S. Kaseb; Chandler Brown; Sam Jenkins; Sam Yellin; Fengjian Pan; Yung-Hsiang Lu (IMAWM, 2017)

Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud. - Ahmed S. Kaseb; Bo Fu; Anup Mohan; Yung-Hsiang Lu; Amy R. Reibman; George K. Thiruvathukal (MIPR, 2018)

Determining the Necessary Frame Rate of Video Data for Object Tracking under Accuracy Constraints. - Anup Mohan; Ahmed S. Kaseb; Kent W. Gauen; Yung-Hsiang Lu; Amy R. Reibman; Thomas J. Hacker (MIPR, 2018)

Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification. - Samira Pouyanfar; Yudong Tao; Anup Mohan; Haiman Tian; Ahmed S. Kaseb; Kent Gauen; Ryan Dailey; Sarah Aghajanzadeh; Yung-Hsiang Lu; Shu-Ching Chen; Mei-Ling Shyu (MIPR, 2018)

See the World Through Network Cameras. - Yung-Hsiang Lu; George K. Thiruvathukal; Ahmed S. Kaseb; Kent Gauen; Damini Rijhwani; Ryan Dailey; Deeptanshu Malik; Yutong Huang; Sarah Aghajanzadeh; Minghao Guo (Computer, 2019)

Cloud Resource Optimization for Processing Multiple Streams of Visual Data. - Zohar Kapach; Andrew Ulmer; Daniel Merrick; Arshad Alikhan; Yung-Hsiang Lu; Anup Mohan; Ahmed S. Kaseb; George K. Thiruvathukal (IEEE Multim., 2019)

Cloud Resource Management for Analyzing Big Real-Time Visual Data from Network Cameras. - Ahmed S. Kaseb; Anup Mohan; Youngsol Koh; Yung-Hsiang Lu (IEEE Trans. Cloud Comput., 2019)

SQL Injection Detection Using Machine Learning Techniques. - Eman Hosam; Hagar Hosny; Walaa Ashraf; Ahmed S. Kaseb (ISCMI, 2021)

Enhancing Image-Based Malware Classification Using Semi-Supervised Learning. - Salma Abdelmonem; Shahd Seddik; Rania El-Sayed; Ahmed S. Kaseb (NILES, 2021)

Adaptive Resource Management for Analyzing Video Streams from Globally Distributed Network Cameras. - Anup Mohan; Ahmed S. Kaseb; Yung-Hsiang Lu; Thomas J. Hacker (IEEE Trans. Cloud Comput., 2021)

AnimaChaotic: AI-based Automatic Conversion of Children's Stories to Animated 3D Videos. - Reem Abdel-Salam; Reem Gody; Mariam Maher; Hagar Hosny; Ahmed S. Kaseb (ICAART (2), 2022)