A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks. - Sherif Rashad; Mehmed M. Kantardzic; Anup Kumar (ICDM, 2004)

Mobile data mining for radio resource management in wireless mobile networks. - Sherif Rashad; Mehmed M. Kantardzic; Anup Kumar (ICMLA, 2004)

User mobility oriented predictive call admission control and resource reservation for next-generation mobile networks. - Sherif Rashad; Mehmed M. Kantardzic; Anup Kumar (J. Parallel Distributed Comput., 2006)

MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks. - Sherif Rashad; Mehmed M. Kantardzic; Anup Kumar (CIDM, 2007)

PAC-WHN: Predictive Admission Control for Wireless Heterogeneous Networks. - Sherif Rashad; Mehmed M. Kantardzic; Anup Kumar (ISCC, 2007)

Location Management in 4G Wireless Heterogeneous Networks using Mobile Data Mining Techniques. - Sherif Rashad (TeNe, 2008)

A predictive handoff scheme for multi-hop heterogeneous wireless networks. - Abraham George; Sherif Rashad; Anup Kumar; Mehmed M. Kantardzic (COMSWARE, 2008)

SmartMobiMine: Smart mobile data mining techniques to support 4G mobile networks. - Sherif Rashad; Joshua Bradley (CCNC, 2011)

American Sign Language Recognition using Hidden Markov Models and Wearable Motion Sensors. - Rabeet Fatmi; Sherif Rashad; Ryan Integlia; Gabriel Hutchison (Trans. Mach. Learn. Data Min., 2017)

Comparing ANN, SVM, and HMM based Machine Learning Methods for American Sign Language Recognition using Wearable Motion Sensors. - Rabeet Fatmi; Sherif Rashad; Ryan Integlia (CCWC, 2019)

A Wearable Mobile Exergaming System for Activity Recognition and Relaxation Awareness. - Jenario Johnson; Eric Williams; Michael Swindon; Kendon Ricketts; Behzad Mottahed; Sherif Rashad; Ryan Integlia (SysCon, 2019)

Machine Learning Models for Activity Recognition and Authentication of Smartphone Users. - S. Sareh Ahmadi; Sherif Rashad; Heba Elgazzar (UEMCON, 2019)

Efficient Feature Selection for Intrusion Detection Systems. - S. Sareh Ahmadi; Sherif Rashad; Heba Elgazzar (UEMCON, 2019)

Continuous Authentication of Smartphone Users using Machine Learning. - Suhana Ambol; Sherif Rashad (UEMCON, 2020)

Design of Machine Learning Algorithms for Behavioral Prediction of Objects for Self-Driving Cars. - Yevgeniy Byeloborodov; Sherif Rashad (UEMCON, 2020)

An Innovative Method for Automatic American Sign Language Interpretation using Machine Learning and Leap Motion Controller. - Jon Jenkins; Sherif Rashad (UEMCON, 2021)

LeapASL: A platform for design and implementation of real time algorithms for translation of American Sign Language using personal supervised machine learning models. - Jon Jenkins; Sherif Rashad (Softw. Impacts, 2022)

Machine Learning Based Pedestrian Detection and Tracking for Autonomous Vehicles. - Tyler Ward; Sherif Rashad; Heba Elgazzar (CCWC, 2023)

An Innovative System for Real-Time Translation from American Sign Language (ASL) to Spoken English using a Large Language Model (LLM). - Larry Emerson Johnson; Sherif Rashad (UEMCON, 2024)

Continuous Authentication of Smartphones using a Convolutional Neural Network Model. - John Reichenbach; Sherif Rashad (UEMCON, 2024)