Assistant Professor, Computer Science
You can find my full publication list on:
Ceh-Varela, E., Imhmed, E., Parten, C., & Scherer, L. (2025).
Enhancing Code Assessment and Feedback Generation with GenAI Agents.
In Innovative Educational Assessment with Generative AI: Opportunities, Challenges, and Practical Case Studies, Springer Nature Switzerland, pp. 275–297.
Ceh-Varela, E., & Imhmed, E. (2024).
Investigating Freshmen Students’ Coding Standards Challenges Using NLP Techniques.
In International Conference on Information, Communication and Computing Technology, Springer Nature Switzerland.
E. Imhmed, E. Ceh-Varela, H. Abu-Gellban, and S. Kilgore. (2024).
Fostering Code Quality Practices Among Undergraduate Novice Programmers.
Journal of Computing Sciences in Colleges, 39(7), 21–32.
E. Imhmed, E. Ceh-Varela, and S. Kilgore. (2023).
Identifying Code Quality Issues for Undergraduate Students Using Static Analysis and NLP.
International Conference on Computational Science and Computational Intelligence (CSCI), IEEE, pp. 1527–1533.
Abu-Gellban, H., & E. Imhmed (2023).
Efficient Crop Classification Using Optical and Radar Big Data: A Time and Cost Reduction Approach.
International Conference on Computational Science and Computational Intelligence (CSCI), IEEE, pp. 598–604.
E. Imhmed, J. Cook, C. Parten, and E. Ceh-Varela. (2023).
Evaluation of the Performance Impact of SPM Allocation on a Novel Scratchpad Memory.
IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 972–973.
E. Imhmed, J. Cook, and A. H. Badawy. (2022).
Evaluation of a Novel Scratchpad Memory through Compiler Supported Simulation.
IEEE High Performance Extreme Computing Conference (HPEC).