Publications

Journal Publications

• M. Shalan, M. R. Hasan, Y. Bai, and J. Li, "Enhancing Smart Home Security: Blockchain-Enabled Federated Learning with Knowledge Distillation for Intrusion Detection," Smart Cities, Vol. 8, no. 1, 2025.

• S. Zha, M. M. Bragdon, N. Gong, J. Wang, S. Leavesley, R. Eaton, E. Bosarge, “A Case Study of Integrating AI Literacy Education in a Biology Class,” International Journal of Artificial Intelligence in Education, April 2025. https://doi.org/10.1007/s40593-025-00476-8. 

• X. Yang and J. Li. "A Clustering-Based Federated Deep Learning Approach for Enhancing Diabetes Management with Privacy-Preserving Edge Artificial Intelligence." Healthcare Analytics (2025): 100392.

• F. Li and J. Zhang, “A Comprehensive Study on Lightweight Convolution Techniques for Malicious Traffic Synthesis in Diffusion Models,” IEEE Access, 2025.

• M. B. Hossain, N. Gong, and M. Shaban, "A Novel Attention-Based Layer Pruning Approach for Low-Complexity Convolutional Neural Networks," Advanced Intelligent Systems, Vol. 6, no. 11, November 2024. 

• M. Shaban, "A Novel Variational Mode Decomposition Based Convolutional Neural Network for the Identification of Freezing of Gait Intervals for Patients with Parkinson’s Disease," Machine Learning with Applications, Vol. 16, June 2024.

• R. Hasan, K. T. Zaman, X. Wang, J. Li, B. Xie, and C. Tao, "Empowering Alzheimer’s caregivers with conversational AI: A novel approach for enhanced communication and personalized support," npj Biomedical Innovations, Vol. 1, no. 1, 2024.

• S. Rad, F., M. Amiri, and J. Li, "Optimizing Nutritional Decisions: A Particle Swarm Optimization–Simulated Annealing-Enhanced Analytic Hierarchy Process Approach for Personalized Meal Planning," Nutrients, Vol. 16, no. 18, 2024.

• R. Hasan, Q. Li, U. Saha, and J. Li, "Decentralized and Secure Collaborative Framework for Personalized Diabetes Prediction," Biomedicines, Vol. 12, no. 8, 2024.

• S. Rad, R. Hendawi, X. Yang, and J. Li, "Personalized Diabetes Management with Digital Twins: A Patient-Centric Knowledge Graph Approach," Journal of Personalized Medicine, Vol. 14, no. 4, 2024.

• M. Amiri, F. S. Rad, and J. Li, "Delighting Palates with AI: Reinforcement Learning’s Triumph in Crafting Personalized Meal Plans with High User Acceptance," Nutrients, Vol. 16, no. 3, 2024.

• W. U. Hasan, K. T. Zaman, S. Alian, T. Liang, V. Pandey, J. Kong, C. Tao, and J. Li, "Bridging Culture and Care: A Mobile App for Diabetes Self-Care Honoring Native American Cultural Practices," Advances in Science, Technology and Engineering Systems Journal, Vol. 9, no. 1, 2024.

• X. Wang, J. Li, T. Liang, W. U. Hasan, K. T. Zaman, Y. Du, B. Xie, and C. Tao, "Promoting personalized reminiscence among cognitively intact older adults through an AI-driven interactive multimodal photo album: development and usability study," JMIR Aging, Vol. 7, no. 1, 2024.

• D. Wang, "MXene-montmorillonite nanocomposites-based scaffold sensors for early pancreatic cancer diagnosis." Cancer Plus.

• D. Wang, "Insights in emerging Ti₃C₂Tₓ MXene-enriched polymeric coatings for metallic surface protection: Advancements in microstructure, anti-aging, and electrochemical performance." Progress in Organic Coatings.

• Hasan A., Mohammad M., Aaron K., D. Wang, and M. I. Younis, "A MEMS Resonator Coupled with A Resistive Sensor for Improved Sensing and Actuation." Accepted by IEEE Journal of Microelectromechanical Systems.

• Hasan A., M. M., Fahimullah K., Aaron K., Zhishuo Y., D. Wang, and M. I. Younis, "A Combined Sensor and a Switch Based on a Chemiresistive Material Coupled with a Resonant Microbeam." Sensors & Actuators: A. Physics.

• Y. Z. Seah, Z. Templin, Z. Xiao, L. Jiang, K. Yew Cheong, F. Zhao, "Evaluation of Thermal Effects on Natural Organic Honey Memristive Thin Film for Resistive Switching Memory Applications." Vol. 140, Organic Electronics, 107210 (2025).

• Oswald, W., Browning, C., Yasmin, R. et al. Fluorescence excitation-scanning hyperspectral imaging with scalable 2D–3D deep learning framework for colorectal cancer detection. Sci Rep 14, 14790 (2024). https://doi.org/10.1038/s41598-024-64917-5

• Z. Xiao, G. Doerk, K. Kisslinger, A. Jones, and R. Monikandan, “Growth of nanostructured molybdenum disulfide (MoS2) thin films on a nanohole-patterned substrate using plasma-enhanced atomic layer deposition (ALD),” AIP Advances 13, 055111, 2023.

• R. Hendawi, J. Li, and S. Roy, “A Mobile App That Addresses Interpretability Challenges in Machine Learning–Based Diabetes Predictions: Survey-Based User Study,” JMIR Formative Research 7.1 (2023): e50328.

• M. Amiri, J. Li, and W. Hasan. "Personalized Flexible Meal Planning for Individuals With Diet-Related Health Concerns: System Design and Feasibility Validation Study." JMIR Formative Research 7 (2023): e46434.

• J. Liu and N. Gong, “Privacy By Memory Design: Visions and Open Problems,” IEEE Micro, vol. 44, no. 1, pp. 49 – 58, January 2024.

• J. Liu, N. Gong, and H. Das, “Two Birds with One Stone: Differential Privacy by Low Power SRAM Memory,” IEEE Transactions on Dependable and Secure Computing, pp. 1-14, March 2024. (J. Liu and N. Gong contributed equally to the work as the first authors.)

• D. Lou, H. Chen, J. Liu, D. Wang, C. Wang, B. Jasthi, Z. Zhu, et.al., “Improved Anti-Corrosion Properties of Polyurethane Nanocomposites by Ti3C2Tx MXene/Functionalized Carbon Nanotubes for Corrosion Protection Coatings”, ACS Applied Nano Materials.

• X. Wang, S. Koirala, L. Xu, Q. Li, D. Wang, X.Qi, Y. Huang, Z. Yang, and Z. Lin, “Advancements in emerging MXene-integrated nanocomposite coatings: Unraveling defect-free microstructure for superior tribological, mechanical, and anti-aging features,” Progress in Organic Coating, 2024, 188, 108206

• L. Chen, D. Wang, and Q. Wu, “Ultrahigh-sensitivity label-free singlemode- tapered no core-singlemode fiber immunosensor for Listeria monocytogenes detection,” Sensors & Actuators: B. Chemical, 2023, 376, 132930

• A. Rudie, A.M.Schornack, Q. Wu, Q. Zhang, and D. Wang, “Two-Dimensional Ti3C2 MXene-Based Novel Nanocomposites for Breath Sensors for Early Detection of Diabetes Mellitus,” Biosensors, 2022, 12, 332.

• T. Borode, D. Wang, A. Prasad, “Polyaniline-based Sensor for Real-time Plant Growth Monitoring.” Sensors and Actuators A. Physical, 335, 114319, 2023.

• A. Patel, W. Lu, B. Birmingham, M. Johnson, D. Wang, Z. Zhang, K. Wang, “Enhanced Photoluminescence of Potassium-doped Tungsten Oxide by Acetone Exposure.” RSC Advances, 13, 1236, 2023.

• M. Oli-Uz-Zaman, S. A. Khan, W. Oswald, Z. Liao, and J. Wang, “Stuck-At-Fault Immunity Enhancement of Memristor-Based Edge AI Systems,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 12, no. 4, pp. 922–933, December 2022.

• S. A. Khan, M. Oli-Uz-Zaman, and J. Wang, “PAWN: Programmed Analog Weights for Non-linearity Optimization in Memristor-based Neuromorphic Computing System,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 13, no. 1, pp. 436–444, March 2023.

• H. Das, A. Haidous, S. Smith, N. Gong, “Approximate Memory for Low-Power Video Applications,” IEEE Access, vol. 11, pp. 57735–57744, June 2023.

Conference Publications

• K. T. Zaman, W. U. Hasan, J. Li, B. Xie,"Artificial Intelligence Applications for Older Adult Care: A Systematic Literature Review," in Proc. Conference on Health Information Technology and Analytics (CHITA) 2025, University of Texas at Austin, April 26-27, 2025.

• H. Rasha, S. Alian, and J. Li, "Breaking Down Barriers: Empowering Diabetes Patients with User-Friendly Medical Explanations," in Proc. 2024 15th International Conference on Information and Communication Systems (ICICS), IEEE, 2024.

• M. Shalan, J. Li, and Y. Bai, "Safeguarding the Smart Home: Heterogeneous Federated Deep Learning for Intrusion Defense," in Proc. 2024 IEEE Intelligent Mobile Computing (MobileCloud), IEEE, 2024.

• W. U. Hasan, K. T. Zaman, M. Shalan, X. Wang, J. Li, B. Xie, and C. Tao, "CareCompanion: A Personalized Virtual Assistant for Enhancing Support and Independence in ADRD Patients and Older Adults," in Proc. 2024 International Conference on Smart Applications, Communications and Networking (SmartNets), IEEE, 2024.

• R. Hendawi and J. Li, "Comprehensive Personal Health Knowledge Graph for Effective Management and Utilization of Personal Health Data," in Proc. 2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC), IEEE, 2024.

• S. Digman, I. O. Arnold, K. Mooney, H. Uppaluru, N. Gong, S. Wu, and J. Wang, "AI Models on Edge Devices with Accelerator," in Proc. IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies. 

• C. Ray, K. Mooney, G. Dennis, S. Wu, and J. Wang, "AIoT and Cloud Enabled Flexible and Reliable Monitoring Platform," in Proc. 2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI).

• W. Oswald, M. S. Hossain, K. Mooney, M. Renteria-Pinon, M. B. Hossain, M. Shaban, J. Wang, and N. Gong, "Flexible Bit-Truncation Memory for Low-Power Quality-Adaptive Video and Deep Learning Storage," in Proc. 2024 IEEE 15th International Green and Sustainable Computing Conference (IGSC), November 2024. 

• H. Sun, K. Mooney, M. Renteria-Pinon, T. Ji, H. Das, N. Gong, and J. Liu, "Low-power and Computing-free Privacy Design for IoT Systems." in Proc. IEEE Computer Society Annual Symposium on VLSI (ISVLSI’24), Knoxville, Tennessee, USA, July 2024.

• Sh. Sharif, S. Kondamadugula, P. Jungwirth, Z. Xiao, A. Scott, "Design and Implementation of 32-Bit MIPS-Based Softcore Processor with Enhanced Instruction Set on FPGA." in Proc. 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC), DOI: 10.1109/CCWC62904.2025.10903946.

• Q. Shi, Z. Yang, A. Haidar, B. Terry, F. Li, F., J. Zhang, and S. Shao, (2024, October), “Anomaly Transformer-based System Log Anomaly Detection,” in Proc.  2024 Cyber Awareness and Research Symposium (CARS), pp. 1-6, 2024. 

• F. Li, H. Wu, Q. Shi, S. Shao, and J. Zhang (2024, October), “Towards Quality Controllable Data Synthesis: A Case Study on Synthesizing Network Intrusions,” in Proc. 2024 Cyber Awareness and Research Symposium (CARS), pp. 1-6, 2024.

• F. Li, H. Wu, and J. Zhang, (2024, July), “Lightweight Diffusion Model for Synthesizing Malicious Network Traffic,”. in Proc. NAECON 2024 - IEEE National Aerospace and Electronics Conference, pp. 409-413, 2024.

• Ali, M. and J. Zhang, (2024, October), “Exploring the Effectiveness of Synthetic Data in Network Intrusion Detection through XAI,” in Proc. 2024 Cyber Awareness and Research Symposium (CARS), pp. 1-5, 2024.

• Zha, S., Chen, L., Hung, W., Gong, N., Moore, P., & Klemetsrud, B., "Predicting students’ interest from small group conversational characteristics: Insights from an AI literacy education with high school students." in Proc. 56th ACM Technical Symposium on Computer Science Education (SIGCSE TS 2025), February 26-March 1, 2025, Pittsburgh, PA, USA. 

• Hung, W., Zha, S., Tomaso, B., & Gong, N., "One stone two birds: dual-function cognitive tool approach with AI in PjBL." in Proc. 2025 AERA conference, Denver, CO. 

• D. Wang: "Migration of a Leaky-Dielectric Droplet in the Fringe Electric Fields of Parallel Plate Capacitors." ASME 2024 Fluids Engineering Division Summer Meeting (FEDSM2024). Vol.2. (Submitted: 01/15/2024, Accepted: 04/09/2024, Published: 10/10/2024).

• L. Young, D. Wang, N. Gong, “Low-Cost Wearable Edge-AI Device for Diabetes Management,” in Proc. GLVLSI, 2025.

• J. Wang, F. Zhao, M. R. Khan, M.H. Tanim, and Z. Templin, "Three-dimensional Environmentally Sustainable Neuromorphic Computing System Based on Natural Organic Memristor," in Proc. IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS'23), Phoenix, AZ, USA, 2023, pp. 182-186. 

• F. S. Rad and J. Li, “Optimizing Blood Glucose Control through Reward Shaping in Reinforcement Learning,” in Proc. IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23), 2023.

• K. T. Zaman, W. U. Hasan, and J. Li, “Exploring the Dynamics of Online Social Support for ADRD Caregivers: A Study on Online Peer Support Groups,” in Proc. IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23), 2023.

• X. Yang and J. Li, "Edge AI Empowered Personalized Privacy-Preserving Glucose Prediction with Federated Deep Learning," in Proc. IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23), 2023.

• J. Li, V. Pandey and R. Hendawi, “A Blockchain-Based Personal Health Knowledge Graph for Secure Integrated Health Data Management,” in Proc. IEEE Conference on ICT Solutions for eHealth (ICTS4eHealth 2023), 2023.

• W. U. Hasan, J. Li, S. Alian, T. Liang, V. Pandey, K. T. Zaman, J. Kong, and C. Tao, “Honoring Heritage, Managing Health: A Mobile Diabetes Self-Management App for Native Americans with Cultural Sensitivity and Local Factors,” in Proc. IEEE Conference on ICT Solutions for eHealth (ICTS4eHealth 2023), 2023.

• K. T. Zaman, W. U. Hasan and J. Li, “Empowering Caregivers of Alzheimer's Disease and Related Dementias (ADRD) with a GPT-Powered Voice Assistant: Leveraging Peer Insights from Social Media,” in Proc. IEEE Conference on ICT Solutions for eHealth (ICTS4eHealth 2023), 2023.

• X. Wang, W. U. Hasan, J. Li, R. Hendawi, Y. Du, B. Xie, C. Tao, “Empowering Personalized Health Data Queries with Knowledge Graph and GPT-Enhanced Voice Assistant,” in Proc. IEEE International Conference on Data, Information, Knowledge and Wisdom (IEEE DIKW 2023), 2023.

• M. B. Hossain, N. Gong, and M, Shaban, “An Improved Lightweight DenseNet-201 Model for Pneumonia Detection on Edge IoT,” in Proc. IEEE World Forum on the Internet of Things, Aveiro, Portugal, October 2023.

• M. B. Hossain, N. Gong, and M. Shaban, “Computational Complexity Reduction Techniques for Deep Neural Networks: A Survey,” in Proc. IEEE International Conference on Artificial Intelligence, Blockchain and Internet of Things, Mount Pleasant, MI, 2023.

• M. Parajuli, A. Amara, and M. Shaban, “A Novel Deep-Learning Based Approach for Mild Cognitive Impairment Screening in Patients with Parkinson’s Disease,” in Proc. IEEE International Conference on Artificial Intelligence, Blockchain and Internet of Things, Mount Pleasant, MI, 2023.

• J. Motschenbacher, J. Wang, and Amber Finley, “Native American Student Research Experiences in IoT-Enabled Environmental Monitoring Technologies: An Analysis of North Dakota Tribal Student Experiences in Beijing, China and Mobile, Alabama,” in Proc. ASEE 2023 Annual Conference & Exposition (ASEE’23), 2023, Baltimore, MD, USA.

• J. Fu, Z. Liao, and J. Wang, “Cycle-to-Cycle Variation Suppression in ReRAM-Based AI Accelerators,” in Proc. IEEE International Conference on Physical Assurance and Inspection of Electronics (PAINE'23), Huntsville, AL, USA, 2023

• Souradip Roy, J. Li and Yan Bai, “Federated Learning-Based Intrusion Detection System for IoT Environments with Locally Adapted Model”, IEEE CSCloud 2023.

• Vikram Pandey, J. Li and Yan Bai, “A Secure Semantics-enhanced Decentralized Open IoT Service Platform”, IEEE EdgeCom 2023

• M. Oli-Uz-Zaman, S. A. Khan, W. Oswald, Z. Liao, and J. Wang, "Reconfigurable Mapping Algorithm based Stuck-At-Fault Mitigation in Neuromorphic Computing Systems," ACM Great Lakes Symposium on VLSI 2023 (GLSVLSI'23), Knoxville, TN, USA, 2023, pp. 261-266.