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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 

 

The Library Advocate

To Alex Johar, Mizzou felt like home.

“It feels cliché to say, but it’s the truth. Not only is our campus absolutely gorgeous, the people that are there make you feel as though you can succeed the moment you meet them.” As an electrical engineering student, he knew the non-traditional path to medical school he chose wouldn’t be easy, but Mizzou offered him the resources in order to follow his dream and excel right from the beginning.

These days, you can find Alex, like many engineering students, in the Engineering Library, a place he credits as being instrumental to his success as a Mizzou student. The library offers invaluable collaborative space for students studying various engineering specialties and resources on cutting edge innovation in the field.

“My favorite thing about the Engineering Library is the space it provides to engineering students near our classes, peers, and professors. Although the Lafferre renovation has provided more study rooms, they are always occupied, and often not even by engineering students. The library allows students to study individually, work on a group project, or prepare for an exam with friends. As engineering spans a wide range of topics, everyone working in the same place is helpful when there are assignments requiring the intersection of multiple engineering disciplines.”

Through his regular library use, Alex became passionate about the libraries, ultimately serving as the 2016-2017 chair of the University Libraries Student Advisory Council (ULSAC). As chair, he advocated for students’ resource needs, something he says is vital to any Mizzou student experience. Students know what they need to succeed, and ULSAC wants to make sure student voices are heard.

ULSAC visiting the Kenan Science Library at UNC-Chapel Hill. The council visited the Research Triangle to help inspire the Student Vision Report

Over the past two years, ULSAC has been hard at work collecting data from students, developing a student vision for the library in order to make sure all students, regardless of their involvement or backgrounds, are supported by the University Libraries.

Mizzou is what you make of it, and not only will Alex remember the energy of the Mizzou Vs. Mississippi State football game (his favorite Mizzou memory), he will also remember how personally and academically supportive the Mizzou community was. “I cannot wait to come back to Mizzou one day and see students from other universities’ student library councils touring our libraries to bring back ideas for their schools and I am very thankful for the opportunity to have been the Chair of such an amazing council of student leaders that made this possible.”

 

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home J. Otto Lottes Health Sciences Library, Resources and Services Dr. Loboa: Enhanced cellular infiltration of human adipose-derived stem cells in allograft menisci using a needle-punch method (Open Access Article)

Dr. Loboa: Enhanced cellular infiltration of human adipose-derived stem cells in allograft menisci using a needle-punch method (Open Access Article)

This week's open access article features Dr. Elizabeth Loboa, Dean of the College of Engineering, and professor of bioengineering. Her research and techincal focuses are tissue engineering & biomaterials, regenerative medicine and wound healing, and stem cells. Take a look at Dr. Loboa's faculty profile to learn more about her role as the dean, as well as her research. 

Dr. Loboa, with her research team, published in the Journal of Orthopedic Surgery and Research (JOSR) back in October. Journal of Orthopaedic Surgery and Research is an open access, peer-reviewed online journal that encompasses all aspects of clinical and basic research studies related to musculoskeletal issues. JOSR encourages the publication of multidisciplinary research with collaboration amongst clinicians and scientists from different disciplines, which will be the trend in the coming decades. This is why her article is also featured. Dr. Loboa's article is an interdiscplinary collaboration with medicine and engineering. 

Her research in Enhanced cellular infiltration of human adipose-derived stem cells in allograft menisci using a needle-punch method, looked to provide a new method for enhanced cellular infiltration in meniscal allografts. The memiscus is crucial in knee joint function in terms of join stability, and allowing shock absorption, and stress distribution. Their new approach was found to better help better remodel post-surgery, and improve long-term efficacy of meniscal transplantation. 

home Resources and Services, Special Collections and Archives The search for sustainable energy in 1869

The search for sustainable energy in 1869

Continuing our theme of engines, this week's pamphlet is Power without Fuel by James Baldwin, published in New York in 1869.  In this pamphlet, Baldwin explains his attempts to design an engine that isn't dependent on coal, wood, oil, gas, or other combustible fuel. His idea (he wasn't the first to think of it) was a variation on the carbonic acid motor: an engine that would run on a solution of carbon dioxide in water.  Engineers investigated carbonic acid engines as a possible replacement for steam power in the nineteenth century.  While the gasoline engine won out in the end, there are several turn-of-the-century patents for carbonic acid motors in the United States and Europe.  Today, we'd probably say that Baldwin was attempting to develop alternative energy, an endeavor which is one of the University of Missouri's four strategic research areas

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