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Engineering Faculty Publications (February 2025)

Below is a list of College of Engineering Faculty that have published academic works in the past 30 days. 

Congratulations to all recently published authors! 

Note: Access to full text may be subject to library subscriptions. The below citations were pulled from Scopus

  1. Abdulredah, A. A., Fadhel, M. A., Alzubaidi, L., Duan, Y., Kherallah, M., & Charfi, F. (2025). Towards unbiased skin cancer classification using deep feature fusion. BMC Medical Informatics and Decision Making, 25(1). https://doi.org/10.1186/s12911-025-02889-w 
  2. Arowolo, M. O., Azam, M., He, F., Popescu, M., & Xu, D. (2024). Gene name recognition in gene pathway figures using siamese networks. 218–230. https://doi.org/10.1109/MedAI62885.2024.00035 
  3. Assadi, S., Khanna, S., & Kiss, P. (2025). Improved bounds for fully dynamic matching via ordered ruzsa-szemerédi graphs. 5, 2971–2990. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216749936&partnerID=40&md5=ff0e51ff5b5f7e23abb82927b6c43412 
  4. Babanagar, N., Giriraju, R., Prabhugaonker, R., Gopalaratnam, V., Barde, A., & Pillai, R. G. (2024). Precast concrete building construction in India-challenges and opportunities. Indian Concrete Journal, 98(8), 7–24. Scopus. 
  5. Bateman, B., Xin, M., Tseng, H. E., & Liu, M. (2024). Nash or stackelberg? – A comparative study for game-theoretic autonomous vehicle decision-making. 58(28), 504–509. https://doi.org/10.1016/j.ifacol.2025.01.096 
  6. Behzadian, A., Muturi, T., Owor, N. J., & Adu-Gyamfi, Y. (2024). Optimizing road damage detection with yolov10: A resource-efficient approach utilizing augmentation, data sampling, and hyperparameter tuning. 8439–8446. https://doi.org/10.1109/BigData62323.2024.10825391 
  7. Calyam, P., Clemm, A., Pandey, A., Roy, U., Keller, A., Das, S. K., Calvert, K., & Li, Q. (2024). Softwarized networks in the age of generative artificial intelligence: use cases, challenges, and opportunities. IEEE Internet Computing, 28(6), 68–76. https://doi.org/10.1109/MIC.2024.3485954 
  8. Cannone Falchetto, A., Yin, F., Cavalli, M. C., Mangiafico, S., Biligiri, K. P., Cantot, J., Rath, P., Singh, A., Elwardany, M., Wang, D., Chen, C., Grenfell, J., Zhang, F., Sun, Y., & Krayushkina, K. (2024). On the new RILEM technical committee TC APD: alternative paving materials – design and performance. RILEM Technical Letters, 9, 68–75. https://doi.org/10.21809/rilemtechlett.2024.196 
  9. Catalano, A. J., Hall, D. M., & Gentil, G. M. (2025). Examining truth regimes reveals how local communities view flooding and river management in the lower missouri river basin, USA. Environmental Management. https://doi.org/10.1007/s00267-025-02110-8 
  10. Chen, J., Duan, H., & Huang, G. (2025). Transformer-based inverse-design model for optimal multilayer microperforated panels. Physical Review Applied, 23(2). https://doi.org/10.1103/PhysRevApplied.23.024044 
  11. Chen, K., Han, X., Li, X., Liang, Y., Xu, D., & Guan, R. (2024). PNESR-DDI: an effective drug-drug interaction prediction model based on pretraining method and enhanced subgraph reconstruction. 1874–1881. https://doi.org/10.1109/BIBM62325.2024.10822475 
  12. Chen, Y., Xu, D., Hammer, R., & Popescu, M. (2024). Predicting gene relations with a graph transformer network integrating DNA, protein, and descriptive data. 3101–3104. https://doi.org/10.1109/BIBM62325.2024.10821812 
  13. Chintamaneni, V. K., Debbadi, S. K., Kandula, S. S., & Gargees, R. S. (2024). Hybrid deep learning/machine learning model for retinal diseases classifications using OCT images. 2024 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things, AIBThings 2024 – Proceedings. https://doi.org/10.1109/AIBThings63359.2024.10863314 
  14. Das, M. J., Rao, P., & Xu, L. (2024). IMpact of the networking infrastructure on the performance of variant calling on human genomes in commodity clusters. ACM-BCB 2024 – 15th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. https://doi.org/10.1145/3698587.3701354 
  15. Demby’s, J., Farag, R., & Desouza, G. N. (2024). Inverse Kinematics of Robotic Manipulators Using a New Learning-by-Example Method. 9534–9541. https://doi.org/10.1109/IROS58592.2024.10802048 
  16. Dmonte, A., Oruche, R., Zampieri, M., Ko, E., & Calyam, P. (2025). GMU-MU at the Financial Misinformation Detection Challenge Task: Exploring LLMs for Financial Claim Verification. 308–312. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217771948&partnerID=40&md5=6a79698f71779fff24e35a8ef31b0b60 
  17. Dostoglou, S., & Valettas, P. (2025). On the clustering of padé zeros and poles of random power series. International Mathematics Research Notices, 2025(3). https://doi.org/10.1093/imrn/rnaf007 
  18. Elbelbisi, A., Salim, H., Newberry, M., Weaver, M., & Elemam, H. (2024). Blast-resistant insulated laminated glass windows. 3. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216748237&partnerID=40&md5=e59d3096eb64e88c0b2bfc84ec126b7d 
  19. Elemam, H., Elkilani, A., Elbelbisi, A., Elsisi, A., Bowman, A., & Salim, H. (2024). Strain rate material response of laminated glass interlayer polymers. 3. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216726420&partnerID=40&md5=2404e158fd5ed0bfe19da8f407a03b0c 
  20. Elkilani, A., Salim, H., Elemam, H., Elbelbisi, A., Elsisi, A., Bowman, A., & Johnson, C. (2024). Modeling of multilayer laminated glass panels under blast. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE )3. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216810598&partnerID=40&md5=91a412afde2170669ffcd6140530b462 
  21. Elkilani, A., Elsisi, A., Knight, J., Elbelbisi, A., & Salim, H. (2025). Thermomechanical high strain rate behavior of LG polymeric interlayer materials. Construction and Building Materials, 464. https://doi.org/10.1016/j.conbuildmat.2025.140183 
  22. Fischer, S., & Neurath, M. F. (2025). Update on the pathophysiology, prediction and prevention of inflammatory bowel diseases. Innere Medizin 66(2), 137–145. https://doi.org/10.1007/s00108-024-01838-5 
  23. Gao, Z., Lv, M., Liu, M., Gu, C., Li, G., Liu, B., Singh, D. J., Zheng, W., & Fan, X. (2025). Novel layered As2Ge with a pentagonal structure for potential thermoelectrics. Journal of Materials Chemistry C. https://doi.org/10.1039/d4tc04065a 
  24. García Delgado, G., Shammi, U., Ruppel, M., Altes, T., Mugler, J., Meyer, C., Qing, K., de Lange, E., Mata, J., Ruset, I., Hersman, F. W., & Thomen, R. (2025). QUantification of spatial ventilation defect sparsity in hyperpolarized gas magnetic resonance imaging of lungs utilizing a three-dimensional clustering algorithm. NMR in Biomedicine, 38(3). https://doi.org/10.1002/nbm.70005 
  25. Giraldo-Londoño, O., Muñetón-López, R. A., Barclay, P. L., Zhuang, X., Zhang, D. Z., & Chen, Z. (2025). Toward engineering lattice structures with the material point method (MPM). Engineering with Computers. https://doi.org/10.1007/s00366-024-02098-5 
  26. Goel, V., Ding, J., Hatuwal, B., Giri, E., Deliberto, T. J., Lowe, J., Webby, R., Emch, M., & Wan, X.-F. (2025). Ecological drivers of evolution of swine influenza in the United States: A review. Emerging Microbes and Infections, 14(1). https://doi.org/10.1080/22221751.2025.2455598 
  27. Hawley, J., & Shyu, C.-R. (2024). Analysis of A Malicious Deutsch-Jozsa Circuit. 2, 602–603. https://doi.org/10.1109/QCE60285.2024.10425 
  28. Ismail, K. B. M., Kumar, M. A., Prasath, J., Mahalingam, S., Jayavel, R., Arivanandhan, M., & Kim, J. (2025). Enhanced supercapattery performance of hydrothermally synthesized MoS2/ZnS nanocomposites. Journal of Energy Storage, 113. https://doi.org/10.1016/j.est.2025.115555 
  29. Joby, J. A., Sikorski, P., Sultan, T., Akbarpour, H., Esposito, F., & Babaiasl, M. (2024). Emg-transnn-mha: a transformer-based model for enhanced motor intent recognition in assistive robotics. 8691–8693. https://doi.org/10.1109/BigData62323.2024.10825417 
  30. Kostage, K., Adepu, R., Monroe, J., Haughton, T., Mogollon, J., Poduvu, S., Palaniappan, K., Qu, C., Calyam, P., & Mitra, R. (2025). Federated learning-enabled network incident anomaly detection optimization for drone swarms. 104–114. https://doi.org/10.1145/3700838.3700857 
  31. Ling, C., Lou, X., Li, J., & Zhang, Y. (2019). Experimental investigation of a novel tidal supercharger driven by tidal energy for reverse osmosis seawater desalination (Vol. 2019, p. 194). https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216333346&partnerID=40&md5=4f18e8c87eae810a75d39de7b0ea6014 
  32. Massa, H., & Uhlmann, J. (2025). Access-adaptive priority search tree. Innovations in Systems and Software Engineering. https://doi.org/10.1007/s11334-025-00598-1 
  33. Mubarak, A. S., Salih, S. S., Kadhom, M., & Ghosh, T. K. (2025). Removal of heavy metals from contaminated water using Metal-Organic Frameworks (MOFs): A review on techniques and applications. Materials Science and Engineering: B, 315. https://doi.org/10.1016/j.mseb.2025.118105 
  34. Mukherjee, S., Suresh, D., Zambre, A., Yadavilli, S., Ghoshdastidar, S., Upendran, A., & Kannan, R. (2025). Synergistic inhibition of drug resistant KRAS mutant non-small cell lung cancer by co-targeting AXL and SRC. Cancers, 17(3). https://doi.org/10.3390/cancers17030490 
  35. Oliva, G., Manin, L., Valić, S., Islam, S. K., Fiorillo, A. S., & Pullano, S. A. (2025). Zeolite 5 A mediated palmitic acid detection in tomato seed oil by photoionization detector. Sensors and Actuators B: Chemical, 431. https://doi.org/10.1016/j.snb.2025.137428 
  36. Omelyusik, V., Shehzad, K., Banks, T., Rao, P., & Nair, S. S. (2024). On scaling neuronal network simulations using distributed computing. 745–749. https://doi.org/10.1109/SCW63240.2024.00105 
  37. Prasanna, S., Kumar, A., Rao, D., Simoes, E. J., & Rao, P. (2024). A scalable tool for analyzing genomic variants of humans using knowledge graphs and graph machine learning. Frontiers in Big Data, 7. https://doi.org/10.3389/fdata.2024.1466391 
  38. Salim, H., Elbelbisi, A., Knight, J., Chen, Z., Elemam, H., Bowman, A., & Kantrales, G. (2024). Computational and experimental calibration of material model for blast-resistant laminated glass systems. 3. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216725453&partnerID=40&md5=a51b302705231105b4e2e1a7d5ad2b88 
  39. Singh, P., Kinkade, J. A., Verma, M., Khan, T., Ezashi, T., Bivens, N. J., Roberts, R. M., Rosenfeld, C. S., & Joshi, T. (2024). Impact of extracellular vesicles derived from human placenta cells on neural progenitor cell transcriptome dynamics. 457–462. https://doi.org/10.1109/BIBM62325.2024.10822491 
  40. Tali, S., Noguera, D., & Gargees, R. S. (2024). Comparative analysis of hate speech detection using various vectorization and classification techniques. 2024 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things, AIBThings 2024 – Proceedings. https://doi.org/10.1109/AIBThings63359.2024.10863361 
  41. Tang, J., Guo, Q., Zhao, Y., & Shang, Y. (2024). DEcoding linguistic nuances in mental health text classification using expressive narrative stories. 207–216. https://doi.org/10.1109/CogMI62246.2024.00035 
  42. Ye, Z.-F., Jiang, H.-M., Liu, D. Y., Singh, D. J., & Huang, Y. N. (2025). Interlayer coupling of magnetism and electronic structure in two-dimensional superconducting systems: Fcc Fe on monolayer FeSe. Physical Review B, 111(7). https://doi.org/10.1103/PhysRevB.111.075121 
  43. Ying, X., Reasad, M., & Wang, B. (2025). Development and laboratory assessment of a subsea particle image velocimetry system for bubble and turbulence measurements in marine seeps. Limnology and Oceanography: Methods. https://doi.org/10.1002/lom3.10670 
  44. Zhang, D., Stein, R., Lu, Y., Zhou, T., Lei, Y., Li, L., Chen, J., Arnold, J., Becich, M. J., Chrischilles, E. A., Chuang, C. H., Christakis, D. A., Fort, D., Geary, C. R., Hornig, M., Kaushal, R., Liebovitz, D. M., Mosa, A. S. M., Morizono, H., Chen, Y. (2025). Pediatric gastrointestinal tract outcomes during the postacute phase of COVID-19. JAMA Network Open, 8(2). Scopus. https://doi.org/10.1001/jamanetworkopen.2024.58366