Sheraz Aslam

About

Sheraz Aslam (M' 19) received the B.S. degree in Computer Science from the Bahauddin Zakariya University (BZU), Multan, Pakistan, in 2015, and the M.S. degree in Computer Science from the COMSATS University Islamabad (CUI), Islamabad, Pakistan, in 2018. He also worked as a Research Associate during his M.S. period at the same University. Currently, Sheraz is pursuing the Ph.D. degree under the supervision of Dr. Herodotos Herodotou, in Cyprus University of Technology (CUT), Limassol, Cyprus. He has authored more than 20 research publications in ISI-indexed international journals and conferences. Mr. Aslam also served as TPC member and invited reviewer of international journals and conferences. His research interests include data analytics, generative adversarial networks, WSNs, smart grid.

Employment

• Cyprus University of Technology Research Associate
  2019 - Present
• Information Technology University Researcher
  2018 - Present
• COMSATS University Islamabad Research Associate
  2016 - 2018

Education

• COMSATS Institute of Information Technology Master's

Projects & Funding

Projects & funding information is unavailable.

Publications (73)

• Predicting cryptocurrency prices with ML-DL models: A hybrid expert system approach
  Expert Systems with Applications 2026 DOI: 10.1016/j.eswa.2025.130114
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• Real-time Container Tracking and Damage Detection at Seaports Using Deep Learning
  2025 DOI: 10.15439/2025F5518
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• Optimized Image Dehazing Using Dark Channel Prior With Minimum Fusion and Improved Atmospheric Light Handling
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3576646
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• A Hybrid Transformer Architecture for Multiclass Mental Illness Prediction Using Social Media Text
  IEEE Access 2025 DOI: 10.1109/ACCESS.2024.3519308
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• Evaluating Machine Unlearning: Applications, Approaches, and Accuracy
  Engineering Reports 2025 DOI: 10.1002/eng2.13081
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• Time Series Analysis of Solar Power Generation Based on Machine Learning for Efficient Monitoring
  Engineering Reports 2025 DOI: 10.1002/eng2.70023
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• Enhanced optimisation of MPLS network traffic using a novel adjustable Bat algorithm with loudness optimizer
  Results in Engineering 2025 DOI: 10.1016/j.rineng.2025.104774
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• Machine Learning-Based Predictive Maintenance at Smart Ports Using IoT Sensor Data
  Sensors 2025 DOI: 10.3390/s25133923
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• Correction: Yu et al. Techno-Economic Planning and Operation of the Microgrid Considering Real-Time Pricing Demand Response Program. Energies 2021, 14, 4597
  Energies 2025 DOI: 10.3390/en18205376
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• Machine Learning Based Predictive Maintenance at Smart Ports Using IoT Sensor Data
  2025 DOI: 10.20944/preprints202505.2382.v1
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