Editor Profile
Dr. Ahmad Ali, Ph.D.
Postdoctoral Researcher
Jul 2023 - Present
Shenzhen University
Shenzhen
China
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- Deep Learning
- Big Data Analytics
- Data Mining
- Urban Computing
- Cloud Computing
- Fog Computing
- Ahmad Ali, Yanmin Zhu, Muhammad Zakarya, A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing, Multimedia Tools and Applications, 2021 (IF 2.757).
- Ahmad Ali, Yanmin Zhu, Muhammad Zakarya, Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks, Information sciences, 2021 (IF 8.1).
- Muhammad Zakarya, Ayaz Ali Khan, Muhammad Reza Chalak Qazani, Hashim Ali, Al-Bahri Mahmood, Atta Ur Rehman, Ahmad Ali, Rahim Khan. Sustainable computing across datacenters: A review of enabling models and techniques, Computer Science Review, 2024 (IF 12.9).
- Nabeela Awan, Ahmad Ali, Fazlullah Khan, Muhammad Zakarya, Ryan Alturki, Mahwish Kundi et al. Modeling Dynamic Spatio-Temporal Correlations for Urban Traffic Flows Prediction, IEEE Access, 2021 (IF 3.9).
- Ahmad Ali, Yanmin Zhu, Muhammad Zakarya, Exploiting Dynamic Spatio-temporal Graph Convolutional Neural Networks for Citywide Traffic Flows Prediction, Neural Networks , 2021, (IF=6.0).
- Aftab Ahmed, Muhammad Zakarya, Xuan Liu, Rahim Khan, Ahmad Ali, Ayaz Ali Khan. Quality Enhancement in A mm-Wave Multi-hop, Multi-Tier Heterogeneous 5G Network Architecture, Telecommunication Systems, 2022, (IF=2.336).
- Tamam Alsarhan, Osama Harfoushi, Ahmed Younes Shdefat, Nour Mostafa, Mohammad Alshinwan, Ahmad Ali. Improving Graph Convolutional Neural Network with Enrich Graph Topology Representation for Skelton-based Action Recognition, Elecrtonics, 2023, (IF=2.690).
- Noor Ahmed, Rozina, Ahmad Ali, Abdul Raziq. Images Denoising for COVID-19 Chest X-ray Based on Multi-scale Parallel Convolutional Networks, Multimedia Systems, 2023, (IF= 3.9).
- Hameed Hussain, Muhammad Zakarya, Ahmad Ali, Ayaz Ali Khan, Mohammad Reza Chalak Qazani, Mahmood Al-Bahri, Muhammad Haleem. Energy Efficient Real-time Tasks Scheduling on High Performance Edge-Computing Systems using Genetic Algorithm, IEEE Access, 2024, (IF 3.9).
- Adaptive Fuzzy Backstepping Secure Control for Incommensurate Fractional Order Cyber-Physical Power Systems Under Intermittent Denial of Service Attack, Chaos, Solitons and Fractals, 2024, (IF=5.3).
- Inam Ullah, Deepak Adhikari, Farhad Ali, Ahmad Ali, Habib Khan, Amin Sharafian, Suresh Manic Kesavan, Xiaoshan Bai. Revolutionizing E-commerce with Consumer-Driven Energy-Efficient WSNs: A Multi-Characteristics Approach, IEEE Transaction on Consumer Electronics, 2024, (IF= 4.4).
- 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 System, IEEE Transaction on Consumer Electronics, 2024, (IF= 4.4).
- Hafiz Muhammad Zeeshan, MD Belal Bin Heyat, Mohd Ammar Bin Hayat, Saba Parveen, Arshiya Sultana, Faijan Akhtar, Abid Iqbal, Ahmad Ali, Dustin Pomary, RopoEbenzer, Ogunsakin, and Asma Sayed Abdelgeliel. Progress and Research Trends in Lumpy Skin Disease Based on the Scientometric Assesssment, Annals of Animal Science, (IF=1.9).
- Inam Ullah, Farhad Ali, Amin Sharafian, Ahmad Ali, Hafiz Muhammad Yasir Naeem, Xiaoshan Bai, Optimizing Underwater Connectivity through Multi-Attribute Decision-Making for Underwater IoT Deployments Using Remote Sensing Technologies, Frontiers in Marine Science, (IF=2.8).
- Amin Sharafian, Ahmad Ali, Inam Ullah, Tarek R. Khalifa, Li Qiu, Xiaoshan Bai, Fuzzy Adaptive Control for Consensus Tracking in Multiagent Systems with Incommensuarte Fractional-Order Dynamics: Application to Power Systems, Information Sciences, (IF=8.1).
- Tamam Alsarhan, Syed Sadaf Ali, Iyyakutti Iyappan Ganapathi, Ahmad Ali, Naoufel Werghi, PH-GCN: Boosting Human Action Recognition through Multi-Level Granularity with Pair-wise Hyper GCN, IEEE Access, (IF=3.9).
- An Attention-driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systems, IEEE Transaction on Intelligent Transportation Systems (Under Review).
- Ahmad Ali, Xiaoshan Bai, Attention-Based BiGRU-GCN for Deadline-Constrained Virtual Machine Load Balancing in Edge Computing, IEEE Transaction on Consumer Electronics (Under Review).
- Energy Efficient Resource Allocation for Urban Traffic Flow Prediction In Edge Computing, International Journal of Intelligent Systems (Under Review).
- Efficient Federated Learning for Urban Traffic Prediction Using Spatio-temporal Graph Data Augmentation in Edge Computing, IEEE Internet of Things Journal (Under Review).
- Cost effective charging scheme with energy and health management using route, visiting sequence and velocity planning for multi-Electric Vehicle System, IEEE Transactions on Transportation Electrification (Under Review).
- 3D-MMFN: Multi-level Multimodal Fusion Network for 3D Industrial Image Anomaly Detection, Advanced Engineering Informatics (Under Review).
- Resilience to Deception Attacks in Cyber-Physical Incommensurate Fractional Order Multi-Agent Power Systems via Secure Adaptive Neural Network Consensus Control, Expert System with Applications (Under Review).
- A Novel ConvXGB Ensemble Model for Enhanced Lung Cancer Diagnosis Using Machine Learning Techniques, Cyborg and Bionic Systems (Submitted).
- Hazrat Bilal, Yibin Tian *, Ahmad Ali, Yar Muhammad, Abid Yahya, Basem Abu Izneid, Inam Ullah, An Intelligent Approach for Early and Accurate Predication of Cardiac Disease Using Hybrid Artificial Intelligence Techniques, Bioengineering (Under review).
- Ahmad Ali, Inam Ullah, Sushil Kumar Singh, Weiwei Jiang, Fahad Alturise, Xiaoshan Bai, Attention-Based BiGRU-GCN for Deadline-Constrained Virtual Machine Load Balancing in Edge Computing, IEEE Transaction on Consumer Electronics (Under Review).
- Hafiz Muhammad Yasir Naeem, Ahmad Ali, Efficient Autonomous Driving Strategy for Electric Vehicle, Nature Communications (Under Review).
- Ahmad Ali, Li Lu, Yanmin Zhu, Jiadi Yu, An Energy Efficient Algorithm for Virtual Machine Allocation in Cloud Datacenters, Advanced Computer Architecture (ACA) 2016, Springer.
- Riaz Ali, Yao Shen, Xiangwei Huang, Jiangyu Zhang, Ahmad Ali, VMR: Virtual Machine Replacement Algorithm for QoS and Energy-Awareness in Cloud Data Centers, 2017 IEEE International Conference on Embedded and Ubiquitous Computing (EUC).
- Jun Yin, Riaz Ali, Li Li, Ahmad Ali, Edge Network Model Based on Double Dimension, 2018 IEEE Annual Computing and Communication Workshop and Conference (CCWC).
- Ahmad Ali, Yanmin Zhu, Qiuxia Chen, Jiadi Yu, Haibin Cai, Leveraging Spatio-Temporal Patterns for Predicting Citywide Traffic Crowd Flows Using Deep Hybrid Neural Networks, 2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS).
- Islam Md Monirul, Li Qiu, Ahmad Ali, Enhanced Unscented Kalman Filter for Accurate State of Charge Estimation in Aerial Drone Lithium-Ion Batteries, 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS).
- Ahmad Ali, Amin Sharafian, Inam Ullah, Tamam Alsarhan , H.M Yasir Naeem , Xiaoshan Bai, “Spatio-Temporal Graph Convolutional Neural Networks for Traffic Flow Prediction in Transportation,” in the book “Drones & Artificial Intelligence: The New Face of Warfare,” 2024. (Under Review).
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