selected publications academic article A. Mahdi, .., J. Qin, .., & G. Crosby. (2020). DeepFeat: A Bottom-Up and Top-Down Saliency Model Based on Deep Features of Convolutional Neural Networks. IEEE Transactions on Cognitive and Developmental Systems. 12(1), 54-63. Alsenani, Y. S., Crosby, G. V., Ahmed, K. R., & Velasco, T. (2020). ProTrust: A Probabilistic Trust Framework for Volunteer Cloud Computing. IEEE Access. 8, 135059-135074. Razouk, W., Crosby, G. V., & Sekkaki, A. (2014). New Security Approach for ZigBee Weaknesses. Procedia Computer Science. 37, 376-381. V. Crosby, G. (2012). Wireless Body Area Networks for Healthcare: A Survey. International Journal of Ad hoc Sensor & Ubiquitous Computing. 3(3), 1-26. chapter Alsenani, Y., Crosby, G. V., Ahmed, K. R., & Velasco, T. (2020). Towards Multi-criteria Volunteer Cloud Service Selection. Lecture Notes in Artificial Intelligence. Cloud Computing CLOUD 2020. (pp. 278-286). Springer Nature. Crosby, G. V., Chin, C. A., Ghosh, T., & Murimi, R. (2015). Wireless Body Area Networks in mHealth. Mobile Health. (pp. 873-915). Springer Nature. conference paper Porter, J. R., Kane, M., Johnson, M. D., Morgan, J. A., & Crosby, G. V. (2020). Electro-Marine Engineering Technology: A New Focus Area in Multidisciplinary Engineering Technology Crosby, G. (2018). A Comparative Study of Distance Education and Face-to-Face Lab Students Alsenani, Y., Crosby, G. V., Velasco, T., & Alahmadi, A. (2018). ReMot: Reputation and Resource-based Model to Estimate the Reliability of the Host Machines in Volunteer Cloud Environment. 63-70. Alsenani, Y., Crosby, G. V., & Velasco, T. (2018). SaRa: A Stochastic Model to Estimate Reliability of Edge Resources in Volunteer Cloud. 121-124. Spezia, C., & Crosby, G. (2017). BYOE: The Design and Operation of an Electric Motors Simulator Crosby, G., & Cunningham, M. (2017). BYOE: Utilizing the EET Communication Simulator Crosby, G., Cunningham, M., & Bowlyn, K. (2017). The EET Communication Simulator Chandramouli, J. M., Ramos, J., Srinivasan, L., Suresh, P., Kannan, P., Crosby, G., & Watkins, L. (2017). Using Network Traffic to Infer Compromised Neighbors in Wireless Sensor Nodes. 1022-1023. Varadarajan, P., & Crosby, G. V. (2014). Implementing IPsec in Wireless Sensor Networks. 1-5. Watkins, L., Crosby, G. V., & Sharmin, A. (2014). Using Network Traffic to Infer Power Levels in Wireless Sensor Nodes. 1-7. Crosby, G. V., & Vafa, F. (2013). Wireless Sensor Networks and LTE-A Network Convergence. 731-734. Chin, C., Sharma, L., & Crosby, G. (2013). Evaluation of the Effect of Wireshark-based Laboratories on Increasing Student Understanding of Learning Outcomes in a Data Communications Course. 23.554.1-23.554.13. Dunston, J., & Crosby, G. (2013). Face-to-Face versus Online Delivery of a Graduate Course in Quality Assurance. 23.586.1-23.586.9. Chin, C., & Crosby, G. (2012). Evaluation of Cooperative Learning Assignments as a Supplement to Homework to Improve Student Learning. 25.589.1-25.589.8. Chin, C. A., Crosby, G. V., Ghosh, T., & Murimi, R. (2012). Advances and Challenges of Wireless Body Area Networks for Healthcare Applications. 99-103. Crosby, G. V., & Pissinou, N. (2007). Cluster-based reputation and trust for wireless sensor networks. 604-608. Crosby, G. V., & Pissinou, N. (2007). Evolution of Cooperation in Multi-Class Wireless Sensor Networks. 489-495. Gadze, J., Pissinou, N., Makki, K., & Crosby, G. (2007). On optimal slot allocation for reservation TDMA MAC protocol in shadow fading environment. 762-766. Crosby, G. V., Pissinou, N., & Gadze, J. (2006). A framework for trust-based cluster head election in wireless sensor networks. 13-+. Gadze, J., Pissinou, N., Makki, K., & Crosby, G. (2004). On Optimal Slot Allocation for Reservation TDMA MAC Protocol in Shadow Fading Environment. 809-813. Wunnava, S. V., Crosby, G. V., & Kapasi, A. (2001). Adaptive network modeling scheme. 109-113. Crosby, G. V., Pissinou, N., & Gadze, J. (1991). A framework for trust-based cluster head election in wireless sensor networks. 1-10. Crosby, G., & Dunston, J. The Development and Delivery of an Online Graduate Course: Lessons Learned and Future Direction. 23.1183.1-23.1183.11.
teaching activities ENGR385 Prob For Coop Students Instructor ENTC489 Sptp: Engineering Design & Pro Instructor ENTC489 Sptp: Engr. Des. & Pr. B. Lrng Instructor ENTC684 Professional Internship Instructor ENTC689 Sptp: Applied Cryptography & N Instructor ENTC691 Research Instructor ESET269 Embedded Sys Dev In C Instructor ESET419 Engr Tech Capstone I Instructor ITDE684 Professional Internship Instructor ITDE691 Research Instructor MXET491 Research Instructor MXET684 Professional Internship Instructor MXET685 Directed Studies Instructor MXET691 Research Instructor
education and training M.S. in Computer Engineering, Florida International University - (Miami, Florida, United States) Ph.D. in Electrical Engineering, Florida International University - (Miami, Florida, United States) 2007