ismail khater

RESEARCH 

Ismail M. Khater is an Assistant Professor in the Electrical and Computer Engineering Department at Birzeit University, Palestine, and currently a Visiting Scholar in Ting Wu’s lab at the Department of Genetics, Harvard Medical School, US. He previously held a Postdoctoral Research Fellowship at Simon Fraser University’s School of Computing Science and the Life Sciences Institute at the University of British Columbia in Canada.

Dr. Khater earned his Ph.D. in Computing Science from Simon Fraser University. His research focuses on medical image analysis, particularly in super-resolution microscopy and computational complex networks. He applies machine and deep learning techniques to analyze large-scale 3D point cloud data of proteins, using unsupervised learning to extract meaningful patterns. His current work involves studying the spatial organization of millions of Caveolin-1 protein localizations in prostate cancer cells to uncover bio-signatures of cellular compartments at the cell membrane.

PUBLICATIONS

1. Khater, I. M., Nabi, I. R., & Hamarneh, G. (2020). A review of super-resolution single-molecule localization microscopy cluster analysis and quantification methods. Patterns, 1(3).

2. Khater, I. M., Meng, F., Wong, T. H., Nabi, I. R., & Hamarneh, G. (2018). Super resolution network analysis defines the molecular architecture of caveolae and caveolin-1 scaffolds. Scientific reports, 8(1), 9009.

3. Khater, I. M., Liu, Q., Chou, K. C., Hamarneh, G., & Nabi, I. R. (2019). Super-resolution modularity analysis shows polyhedral caveolin-1 oligomers combine to form scaffolds and caveolae. Scientific reports, 9(1), 9888.

4. Al-Jarrah, O., Khater, I., & Al-Duwairi, B. (2012). Identifying potentially useful email header features for email spam filtering. In The sixth international conference on digital society (ICDS) (Vol. 30, p. 140).

5. Qaroush, A., Khater, I. M., & Washaha, M. (2012, September). Identifying spam e-mail based-on statistical header features and sender behavior. In Proceedings of the CUBE International Information Technology Conference (pp. 771-778).

6. Al-Duwairi, B., Khater, I., & Al-Jarrah, O. (2012). Detecting image spam using image texture features. International Journal for Information Security Research (IJISR), 2(3/4), 344-353.

7. Shubita, R. R., Alsadeh, A. S., & Khater, I. M. (2023). Fault detection in rotating machinery based on sound signal using edge machine learning. IEEE Access, 11, 6665-6672.

8. Khater, I. M., Aroca-Ouellette, S. T., Meng, F., Nabi, I. R., & Hamarneh, G. (2019). Caveolae and scaffold detection from single molecule localization microscopy data using deep learning. PLoS One, 14(8), e0211659.

9. Aljarrah, I. A., Ghorab, A. S., & Khater, I. M. (2012). Object recognition system using template matching based on signature and principal component analysis. International Journal of Digital Information and Wireless Communications (IJDIWC), 2(2), 156-163.

10. Ali, H. M., Ejaz, W., Lee, D. C., & Khater, I. M. (2019). Optimising the power using firework‐based evolutionary algorithms for emerging IoT applications. IET Networks, 8(1), 15-31.

11. Khater, I. M., Nabi, I. R., & Hamarneh, G. (2020). A review of super-resolution single-molecule localization microscopy cluster analysis and quantification methods. Patterns 1: 100038. University of Minnesota, Minneapolis, Minnesota, USA, 37-55.

12. Khater, I. M., Nabi, I. R., & Hamarneh, G. (2020). A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods. Patterns 2020, 1 (3), 100038. PubMed Abstract| Publisher Full Text| Free Full Text.

13. Wong, T. H., Khater, I. M., Joshi, B., Shahsavari, M., Hamarneh, G., & Nabi, I. R. (2021). Single molecule network analysis identifies structural changes to caveolae and scaffolds due to mutation of the caveolin-1 scaffolding domain. Scientific reports, 11(1), 7810.

14. Khater, I. M., Meng, F., Nabi, I. R., & Hamarneh, G. (2019). Identification of caveolin-1 domain signatures via machine learning and graphlet analysis of single-molecule super-resolution data. Bioinformatics, 35(18), 3468-3475.

15. B. Al-Duwairi, I. Khater and O. Al-Jarrah, "Texture Analysis-Based Image Spam Filtering," 2011 International Conference for Internet Technology and Secured Transactions, Abu Dhabi, United Arab Emirates, 2011, pp. 288-293.

16. Nabi, I. R., Cardoen, B., Khater, I. M., Gao, G., Wong, T. H., & Hamarneh, G. (2024). AI analysis of super-resolution microscopy: Biological discovery in the absence of ground truth. Journal of Cell Biology, 223(8), e202311073.

17. Khater, I. M., Ghorab, A. S., & Aljarrah, I. A. (2012, July). Chessboard recognition system using signature, principal component analysis and color information. In 2012 Second International Conference on Digital Information Processing and Communications (ICDIPC) (pp. 141-145). IEEE.

18. Khater, I. M., Nabi, I. R., & Hamarneh, G. (2020). A review of super-resolution single-molecule localization microscopy cluster analysis and quantification methods. Patterns 1 (3): 100038. Recent Advances in Single-Molecule Tracking and Imaging Techniques Trung Duc Nguyen, 1.

19. Khater, I. M., Liu, Y., Liu, Q., Meng, F., Chou, K. C., Nabi, I. R., & Hamarneh, G. (2017). Distinguishing biological and non-biological networks in single molecule localization super-resolution micrscopy. American Society for Cell Biology and European Molecular Biology Organization (ASCB-EMBO), 28, 1094.

20. Wong, T. H., Khater, I. M., Hallgrimson, C., Li, Y. L., Hamarneh, G., & Nabi, I. R. (2025). SuperResNET: Single molecule network analysis detects changes to clathrin structure by small molecule inhibitors. Journal of Cell Science, jcs-263570.

21. Li, Y. L., Khater, I. M., Hallgrimson, C., Cardoen, B., Wong, T. H., Hamarneh, G., & Nabi, I. R. (2024). SuperResNET single molecule localization microscopy model-free network analysis of Nup96 achieves molecular resolution. bioRxiv, 2024-03.

22. Khater, I. M., Scriven, D. R., Moore, E. D., & Hamarneh, G. (2016, September). Sub-cellular network analysis of ryanodine receptor positioning in control and phosphorylated states. In 2016 Computing in Cardiology Conference (CinC) (pp. 821-824). IEEE.

23. Khater, I. M., Al-Jarrah, O. M., & Al-Duwairi, B. (2016). Hierarchical email spam filtering. Int. of Comput. Inf. Technol, 5(3), 2279-0764.

24. Qaroush, A., Washaha, M., & Khater, I. (2014). Efficient spam filtering based on informative features extracted from the header fields and the urls in the message.

25. Li, Y. L., Khater, I. M., Hallgrimson, C., Cardoen, B., Wong, T. H., Hamarneh, G., & Nabi, I. R. (2024). SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96. Advanced Intelligent Systems, 2400521.

26. Wong, T. H., Khater, I. M., Hallgrimson, C., Li, Y. L., Hamarneh, G., & Nabi, I. R. (2024). Super-resolution single molecule network analysis (SuperResNET) detects changes to clathrin structure by small molecule inhibitors. bioRxiv, 2024-03.

27. Nabi, I. R., Cardoen, B., Khater, I. M., Gao, G., Wong, T. H., & Hamarneh, G. (2023). AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth. arXiv preprint arXiv:2305.17193.

28. Khater, I., Wong, T., Hallgrimsson, C., Moparthi, S., Vassilopoulos, S., Hamarneh, G., & Nabi, I. (2023, February). Molecular architecture of clathrin plaques and pits defined by super-resolution network analysis (SuperResNET). In MOLECULAR BIOLOGY OF THE CELL (Vol. 34, No. 2, pp. 21-22). 8120 WOODMONT AVE, STE 750, BETHESDA, MD 20814-2755 USA: AMER SOC CELL BIOLOGY.

29. Khater, I. M., Hamarneh, G., Nabi, I. R., & Meng, F. (2024). U.S. Patent No. 12,111,263. Washington, DC: U.S. Patent and Trademark Office.

30. Khater, I. M., Liu, Q., Chou, K. C., Hamarneh, G., & Nabi, I. R. (2018, December). Modular Structure of Caveolin-1 Scaffolds and Caveolae Identified by Single Molecule Localization Microscopy. In MOLECULAR BIOLOGY OF THE CELL (Vol. 29, No. 26). 8120 WOODMONT AVE, STE 750, BETHESDA, MD 20814-2755 USA: AMER SOC CELL BIOLOGY.

31. Khater, I., Meng, F., Nabi, I. R., & Hamarneh, G. (2016, January). Defining caveolae and scaffolds by computational network analysis of particle localization super-resolution microscopy. In MOLECULAR BIOLOGY OF THE CELL (Vol. 27). 8120 WOODMONT AVE, STE 750, BETHESDA, MD 20814-2755 USA: AMER SOC CELL BIOLOGY.

32. Cardoen, B., Dickson, F., Khater, I. M., & Robert, I. Interaction zone analysis of CAV1-CAVIN1 in breast cancer cells.

33. MENG, F., KHATER, I., HAMARNEH, G., & NABI, I. R. Super-resolution analysis of Caveolae and Cav1 scaffolds in Prostate Cancer Cells.