Foto del docente

Muhammad Waqas Arshad

Dottorando

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Pubblicazioni

 

Reviewer

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Technical program committee (TPC)

  • 2025 IEEE 38th International System-on-Chip Conference (SOCC)
  • icSoftComp2024 (Sixth International Conference on Soft Computing and its Engineering Applications) Springer

                                                                                                                                                           

Journals

  • Arshad, M.W., Lodi, S. Quantum computing in the automotive industry: survey, challenges, and perspectives. J Supercomput 81, 1093 (2025). https://doi.org/10.1007/s11227-025-07573-4

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  • Arshad, M.W.; Lodi, S.; Liu, D.Q. Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review. Machines 2025, 13, 204. https://doi.org/10.3390/machines13030204

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  • Arshad, M. W., Murtza, I., & Arshad, M. A. (2023). Applications of Quantum Computing in Health Sector. Journal of Data Science and Intelligent Systems, 1(1), 19-24.

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  • Muda, I., Almahairah, M. S., Jaiswal, R., Kanike, U. K., Arshad, M. W., & Bhattacharya, S. (2023). Role of AI in Decision Making and Its Socio-Psycho Impact on Jobs, Project Management and Business of Employees. Journal for ReAttach Therapy and Developmental Diversities, 6(5s), 517-523.

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  • Arshad, M. W. (2023). Prediction and diagnosis of breast cancer using machine learning and ensemble classifiers. Central Asian Journal of Mathematical Theory and Computer Sciences, 4(1), 49-56.

                                                                                                                                                       

  • Arshad, M. W. (2023). Detection Of Human Gender From Eyes Images Using Dnn Approach. Jurnal Teknoinfo, 17(2), 336-340.

                                                                                                                                                       

  • Arshad, M. W., & Tahir, S. F. (2022). Sales Prediction of Cardiac Products by Time Series and Deep Learning. International Journal of Innovations in Science & Technology, 4(5), 1-11.

                                                                                                                                                       

  • Dubey, A., Mujoo, S., Hannan, S.A., Satpathy, G., Arshad, M.W., & Manikandan, E. Cancer prediction using RNA sequencing and deep learning.

                                                                                                                                                       

  • Hannan, S. A., Hivre, M., Lata, M., Krishna, B. H., Sathyasiva, S., & Arshad, M. W. (2022). Brain damage detection using Machine learning approach.International Journal of Health Sciences, Special, (7), 4910-4924.

 

Conferences

  • Akhtar, S., Hanif, M., Arshad, M.W., Farooq, F. (2026). Cutting-Edge Malware Detection in Healthcare: Leveraging Cascaded-AlexNet Model. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2025 Workshops. ICCSA 2025. Lecture Notes in Computer Science, vol 15899. Springer, Cham. https://doi.org/10.1007/978-3-031-97663-6_7

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  • Akhtar, S., Hanif, M., Saraoglu, H.M., Lal, S., Arshad, M.W. (2026). YOLOv11-SAMNet: A Hybrid Detection and Segmentation Framework for Urine Sediment Analysis. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2025 Workshops. ICCSA 2025. Lecture Notes in Computer Science, vol 15899. Springer, Cham. https://doi.org/10.1007/978-3-031-97663-6_21

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  • Arshad, M. W., & Lodi, S. (2024, September). Optimization of Double Wishbone Suspension: Evaluating the Performance of Classes of Algorithms. In 2024 International Conference on Applied Mathematics & Computer Science (ICAMCS) (pp. 156-161). IEEE.

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  • Shetty, N., Kumar, P. P., Nuvvula, R. S., Thalari, S. K., Arshad, M. W., Alubady, R., & Khan, B. (2024, May). AI-Driven Energy Forecasting for Electric Vehicle Charging Stations Powered by Solar and Wind Energy. In 2024 12th International Conference on Smart Grid (icSmartGrid) (pp. 336-339). IEEE.

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  • Phatak, S.S., Patil, H.S., Arshad, M.W., Jitkar, B., Patil, S., & Patil, J. (2022, December). Advanced Face Detection using Machine Learning And AI-based Algorithm. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 1111-1116). IEEE.
 

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