headshot of Ahmed Dallal

Ahmed Dallal

Associate Professor
Electrical and Computer Engineering

about

Clark, R.M., Dickerson, S., Bedewy, M., Chen, K.P., Dallal, A., Gomez, A., Hu, J., Kerestes, R., & Luangkesorn, L. (2020). Social-Driven Propagation of Active Learning and Associated Scholarship Activity in Engineering: A Case Study. INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION, 36(5), 1667-1680.

Dallal, A., & Mao, Z.H. (2018). S184. Sparse representation and classification of neural spikes using supervised dictionary learning. Clinical Neurophysiology, 129, e210-e211.Elsevier BV. doi: 10.1016/j.clinph.2018.04.544.

Dallal, A.H., Yiran Chen, Weber, D., & Zhi-Hong Mao. (2016). Dictionary learning for sparse representation and classification of neural spikes. Annu Int Conf IEEE Eng Med Biol Soc, 2016, 3486-3489. doi: 10.1109/EMBC.2016.7591479.

Dallal, A. (2023). Does student performance decline in online classroom setup? A study of students’ performance in ECE controls class. In 2023 ASEE Annual Conference & Exposition Proceedings.ASEE Conferences. doi: 10.18260/1-2--43200.

Dallal, A. (2023). Student Preference of Video Length for Studying Machine Learning in a Flipped Classroom. In 2023 ASEE Annual Conference & Exposition Proceedings.ASEE Conferences. doi: 10.18260/1-2--44322.

Hassan, A., Dallal, A., Zaghloul, M., & Dickerson, S. (2023). Introducing High-Level Synthesis in Computer Engineering Curricula. In 2023 ASEE Annual Conference & Exposition Proceedings.ASEE Conferences. doi: 10.18260/1-2--43845.

Dallal, A. (2021). Students' Performance in Remote Flipped Signals Classes. In 2021 ASEE Virtual Annual Conference Content Access Proceedings.ASEE Conferences. doi: 10.18260/1-2--37769.

Dallal, A., Zaghloul, M., & Hassan, A. (2021). A Study of Students Perspectives on Different Pedagogical Practices for Remote Digital Signal Processing Courses. In 2021 IEEE Frontiers in Education Conference (FIE).IEEE. doi: 10.1109/fie49875.2021.9637303.

Dallal, A., Zaghloul, M., & Hassan, A. (2021). New Instructors Perspectives on Remote Teaching Methods. In 2021 ASEE Virtual Annual Conference Content Access Proceedings.ASEE Conferences. doi: 10.18260/1-2--37525.

Hassan, A., Dallal, A., & Zaghloul, M. (2021). A Survey-Based Study of Students’ Perspective on Different Remote Teaching Styles During COVID-19. In 2021 ASEE Virtual Annual Conference Content Access Proceedings.ASEE Conferences. doi: 10.18260/1-2--36619.

Hassan, A.M., Dallal, A., & Zaghloul, M.A.S. (2021). Students' Perspectives on Online Lecture Delivery Methods for Programming Courses: A Survey-based Study during COVID-19. In 2021 IEEE Frontiers in Education Conference (FIE).IEEE. doi: 10.1109/fie49875.2021.9637194.

Zaghloul, M., Hassan, A., & Dallal, A. (2021). Teaching and Managing Remote Lab-based Courses. In 2021 ASEE Virtual Annual Conference Content Access Proceedings.ASEE Conferences. doi: 10.18260/1-2--37808.

Zaghloul, M.A.S., Hassan, A.M., & Dallal, A. (2021). Is Remote Learning Becoming the New Norm? A Survey-based Study on the Causes Behind the Poor in-person Classroom Attendances During the Pandemic. In 2021 IEEE Frontiers in Education Conference (FIE).IEEE. doi: 10.1109/fie49875.2021.9637436.

Zaghloul, M.A.S., Hassan, A.M., & Dallal, A. (2021). A survey-based study of students' perspectives on remote electronics and electronics lab courses during COVID-19 pandemic. In 2021 IEEE Frontiers in Education Conference (FIE).IEEE. doi: 10.1109/fie49875.2021.9637373.

Dallal, A., Dukes, A., & Clark, R. (2020). Student Performance in Partially Flipped ECE Laboratory Classes. In 2020 ASEE Virtual Annual Conference Content Access Proceedings, 2020-June.ASEE Conferences. doi: 10.18260/1-2--35233.

Dallal, A., & Clark, R. (2019). Progressive Use of Active Learning in Electrical Engineering Courses. In 2019 ASEE Annual Conference & Exposition Proceedings.ASEE Conferences. doi: 10.18260/1-2--33201.

Smoulder, A.L., Jagadisan, U.K., Dallal, A.H., & Gandhi, N.J. (2019). Performance evaluation of dereferencing methods for estimating information flow in laminar connectivity models. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019-March, (pp. 267-270).IEEE. doi: 10.1109/ner.2019.8717048.

Agarwal, C., Dallal, A.H., Arbabshirani, M.R., Patel, A., & Moore, G. (2017). Unsupervised quantification of abdominal fat from CT images using Greedy Snakes. In SPIE Proceedings, 10133.SPIE. doi: 10.1117/12.2254139.

Agarwal, C., Dallal, A.H., Arbabshirani, M.R., Patel, A., & Moore, G. (2017). Unsupervised quantification of abdominal fat from CT images using greedy snakes. In Proceedings of SPIE - The International Society for Optical Engineering, 10327.

Arbabshirani, M.R., Dallal, A.H., Agarwal, C., Patel, A., & Moore, G. (2017). Accurate segmentation of lung fields on chest radiographs using deep convolutional networks. In SPIE Proceedings, 10133.SPIE. doi: 10.1117/12.2254526.

Dallal, A.H., Agarwal, C., Arbabshirani, M.R., Patel, A., & Moore, G. (2017). Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images. In SPIE Proceedings, 10134.SPIE. doi: 10.1117/12.2254136.

Dallal, A.H., Chen, Y., Weber, D., Mao, Z.H.Dallal, A.H., Yiran Chen, Weber, D., Zhi-Hong Mao, Weber, D., Mao, Z.H., Chen, Y.Dallal, A.H. (2016). Dictionary learning for sparse representation and classification of neural spikes. In Conf Proc IEEE Eng Med Biol Soc, 2016, (pp. 3486-3489).IEEE.United States. doi: 10.1109/EMBC.2016.7591479.

Kelsey, M., Dallal, A., Eldeeb, S., Akcakaya, M., Kleckner, I., Gerard, C., Quigley, K.S., & Goodwin, M.S. (2016). Dictionary learning and sparse recovery for electrodermal activity analysis. In Compressive Sensing V: From Diverse Modalities to Big Data Analytics, 9857, (p. 98570G).SPIE.International Society for Optics and Photonics. doi: 10.1117/12.2227142.

Dallal, A.H., Derbala, A.S., & Taher, M.F. (2012). A mobile robot for hospitals controlled using WLAN. In 2012 Cairo International Biomedical Engineering Conference (CIBEC), (pp. 100-103).IEEE. doi: 10.1109/cibec.2012.6473322.

Dallal, A.H., Khalifa, A.M., & Fahmy, A.S. (2012). Accurate analysis of cardiac tagged MRI using combined HARP and optical flow tracking. In 2012 Cairo International Biomedical Engineering Conference (CIBEC), (pp. 130-133).IEEE. doi: 10.1109/cibec.2012.6473313.