Ahmad Ali

——Current Position：Doctoral Lecturer in department of Computer
Science and technology

——Email：ali.ahmad@hainan-biuh.edu.cn

——Background：Dr. Ahmad Ali is currently a Doctoral Lecturer at Hainan Bielefeld University of Applied Sciences, Germany (Dec 2025–present). He previously worked as a Postdoctoral Researcher at Shenzhen University, China (Jul 2023–Nov 2025). He earned his Ph.D. in Computer Science and Technology from Shanghai Jiao Tong University (SJTU), China (2017–2022) and his M.S. in Computer Science and Engineering from SJTU (2014–2017), and completed his B.S. in Computer Science at Abdul Wali Khan University, Mardan, Pakistan (2009–2013). He serves as a Technical Program Committee (TPC) member for international conferences including IEEE ICPADS 2025, ITCSE 2025, ICACTE 2025, and CSAE 2025, among others. He is also an active reviewer for leading journals, including Information Fusion, Information Sciences, Neural Networks, Applied Soft Computing, Advanced Engineering Informatics, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Intelligent Transportation Systems, among others. In addition, he served as a Guest Editor for a Special Issue in Electronics (MDPI) (2025) and holds additional editorial and leadership roles.

Research Interests

  • Spatio-temporal data mining
  • Big data analytics
  • Intelligent transportation systems (ITS)
  • Deep learning and machine learning
  • Data science and Internet of Things (IoT)
  • Cloud, edge, and fog computing

Academic Degrees

  • Ph.D. (Computer Science and Technology) — Shanghai Jiao Tong University, Shanghai, China (2017–2022)
  • M.S. (Computer Science and Engineering) — Shanghai Jiao Tong University, Shanghai, China (2014–2017)
  • B.S. (Computer Science) — Abdul Wali Khan University, Mardan, Pakistan (2009–2013)

Appointments

  • Doctoral Lecturer, Hainan Bielefeld University of Applied Sciences, Germany (Dec 2025–present)
  • Postdoctoral Researcher, Shenzhen University, China (Jul 2023–Nov 2025)
  • Visiting Lecturer, University of Technology Nowshera, Pakistan (Dec 2020 -Nov 2021)

Honors & Awards

  • Shanghai Government Doctoral Type A Scholarship (2017)
  • Shanghai Jiao Tong University Distinguished Master’s Scholarship (2014)
  • Outstanding Postdoctoral Researcher (Lixin Award), Shenzhen University, China

Academic & Professional Service

  • Technical Program Committee (selected): IEEE ICPADS 2025; ITCSE 2025; ICACTE 2025; CSAE 2025; and additional international conferences.
  • Editorial / Leadership (selected): Guest Editor (Special Issue), Electronics (MDPI), 2025; plus additional editorial roles.
  • Journal Reviewing (selected): Information Fusion; Information Sciences; Neural Networks; Applied Soft Computing; Advanced Engineering Informatics; IEEE Transactions on Industrial Informatics; IEEE Transactions on Intelligent Transportation Systems; and others.

Publications

Journal Publications

  1. Ahmad Ali, Amin Sharafian, HM Yasir Naeem, Muhammad Zakarya, Zongze Wu, Xiaoshan BaiAdvanced computational models for urban traffic flow prediction: A comprehensive review and future directions. Computer Science Review, 2026
  2. Ahmad Ali, Ullah, I., Ahmad, S., et al. An Attention-driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systems.IEEE Transactions on Intelligent Transportation Systems, 2025.
  3. Ahmad Ali, HM Yasir Naeem, Amin Sharafian, Li Qiu, Zongze Wu, Xiaoshan Bai, Dynamic multi-graph spatio-temporal learning for citywide traffic flow prediction in transportation systems, Chaos, Solitans & Fractals, 2025.
  4. Ahmad Ali, Inam Ullah, Sushil Kumar Singh, Amin Sharafian, Weiwei Jiang, Hammad I. Sherazi, Xiaoshan Bai, Energy‐Efficient Resource Allocation for Urban Traffic Flow Prediction in Edge‐Cloud Computing. International Journal of Intelligent Systems, 2025
  5. Ahmad Ali, Inam Ullah, Sushil Kumar Singh, Weiwei Jiang, Fahad Alturise, Xiaoshan Bai, Attention-Driven Graph Convolutional Networks for Deadline-Constrained Virtual Machine Task Allocation in Edge Computing. IEEE Transaction on Consumer Electronics, 2024.
  6. Ahmad Ali, Inam Ullah, Mohammad Shabaz, Amin Sharafian, Muhammad Attique Khan, Xiaoshan Bai, Li Qiu, A resource-aware multi-graph neural network for urban traffic flow prediction in multi-access edge computing systems。IEEE Transaction on Consumer Electronics, 2024.
  7. Ahmad Ali, Yanmin Zhu, & Zakarya, M. Exploiting Dynamic Spatio-temporal Graph Convolutional Neural Networks for Citywide Traffic Flows Prediction.Neural Networks, 2022.
  8. Ahmad Ali, Yanmin Zhu, & Zakarya, M. Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks.Information Sciences, 2021.
  9. Ahmad Ali, Yanmin Zhu, & Zakarya, M. A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing.Multimedia Tools and Applications, 2021.
  10. Muhammad Zakarya, Ayaz Ali Khan, Mohammed Reza Chalak Qazani, Hashim Ali, Mahmood Al-Bahri, Atta Ur Rehman Khan, Ahmad Ali, Rahim Khan,Sustainable computing across datacenters: A review of enabling models and techniques. Computer Science Review, 2024.
  11. Stephen Arockia Samy, Premraj Durairaj, Ahmad Ali, Zongze Wu, Jianqiang Li, Xiaoshan Bai, Secure fuzzy-based H∞ consensus control for nonlinear multi-agent systems under quantized sampled-data mechanism and its applications. Engineering Applications of Artificial Intelligence, 2025.
  12. Asad, M., Azeem, W., Jiang, H., Ahmad Ali, & Yang, J. 3D-MMFN: Multi-level Multimodal Fusion Network for 3D Industrial Image Anomaly Detection.Advanced Engineering Informatics, 2025.
  13. Sharafian, A., Ullah, I., Singh, S. K., Ahmad Ali, et al. Adaptive Fuzzy Backstepping Secure Control for Incommensurate Fractional Order Cyber-Physical Power Systems Under Intermittent Denial of Service Attack.Chaos, Solitons & Fractals, 2024.
  14. Sharafian, A., Ahmad Ali, Ullah, I., et al. Fuzzy Adaptive Control for Consensus Tracking in Multiagent Systems with Incommensurate Fractional-Order Dynamics: Application to Power Systems.Information Sciences, 2024.
  15. Sharafian, A., Ghandi, F., Ahmad Ali, et al. Consensus Tracking Control of Incommensurate Fractional Order Multiagent Systems Using Sliding Mode for Secure Communication Systems.Physica Scripta, 2025.

Conference Publications

  1. Ahmad Ali, Lu, L., Zhu, Y., & Yu, J. An Energy Efficient Algorithm for Virtual Machine Allocation in Cloud Datacenters. ACA 2016 (Springer).
  2. Ali, R., Shen, Y., Huang, X., Zhang, J., & Ali, A. VMR: Virtual Machine Replacement Algorithm for QoS and Energy-Awareness in Cloud Data Centers. IEEE EUC 2017.
  3. Yin, J., Ali, R., Li, L., & Ali, A. Edge Network Model Based on Double Dimension. IEEE CCWC 2018.
  4. Ahmad Ali, Zhu, Y., Chen, Q., Yu, J., & Cai, H. Leveraging Spatio-Temporal Patterns for Predicting Citywide Traffic Crowd Flows Using Deep Hybrid Neural Networks. IEEE ICPADS 2019.
  5. Islam Md Monirul, Qiu, L., & Ali, A. Enhanced Unscented Kalman Filter for Accurate State of Charge Estimation in Aerial Drone Lithium-Ion Batteries. IEEE ICPS 2024.
  6. Yang, L., et al., Ali, A. SingSprite: Non-Tactile Appliance Interaction for the Blind Through Power-Supply Acoustic Signatures. SenSys 2026.
  7. Bai, X., Hao, S., Jiang, H., Ali, A., & Zhang, B. A Hybrid Algorithm for Multi-robot Task Assignment with AND/OR Precedence and Deadline Constraints. ICAUS.

现任职务：计算机科学与技术专业 讲师

电子邮箱：ali.ahmad@hainan-biuh.edu.cn

学术背景：Dr. Ahmad Ali 现任海南比勒费尔德应用科学大学博士讲师，曾任深圳大学博士后研究员。其博士及硕士学位均获得于上海交通大学，研究方向为计算机科学与技术，本科毕业于巴基斯坦 Abdul Wali Khan University。其研究聚焦于时空数据分析、大数据与智能交通系统，并涵盖深度学习、机器学习、数据科学、物联网及云—边—雾计算等方向。
Dr. Ahmad Ali 长期参与国际学术服务，担任 IEEE ICPADS、ITCSE、ICACTE、CSAE 等国际会议程序委员会委员，并为多本国际期刊担任审稿人。2025 年曾任 Electronics（MDPI） 特刊客座编辑。

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