Zain Ul Abideen Zain Ul Abideen

Zain Ul Abideen

PhD student, BCMaterials / UPV/EHU, Leioa

zainul.abideen@bcmaterials.net github.com/Enumk · Google Scholar · linkedin.com/in/zain-ul-abideen

Education

  • PhD, Computer Engineering, UPV/EHU, 2023–.
  • Master’s, COMSATS, CGPA 3.46.

Projects

  • Orchestr.AI. Training workflow for machine-learning force fields.
  • Quantum-dot force fields and the QDSpace web app, which I develop. Prof. Ivan Infante leads the group.
  • Roman Urdu POS tagger. Master’s thesis.

Experience

  • Predoctoral researcher, BCMaterials, Leioa, July 2023–present. Force fields and the QDSpace web app; Prof. Ivan Infante leads the group.
  • Computer engineer, Ghulam Ishaq Khan Institute, Topi, November 2021–June 2023. AI research and lab teaching.
  • Collaboration with research labs, November 2020–May 2023. Jeju anomaly detection, and MiLab metabolomics at Universitat Rovira i Virgili.
  • NLP engineer, Fiverr, Level 1, February 2020–July 2023. Client work in natural language processing.
  • Team lead, NLP Lab, COMSATS, January 2020–November 2021. A student team of about 20.
  • Research associate, COMSATS, February 2018–November 2021. Text mining, natural language processing, and machine learning.
  • Automation developer, SEOGLA, September 2017–August 2018. Web crawlers.
  • Junior Python developer, SEOGLA, July–September 2017. Desktop applications, data analysis, and visualization.

Publications

  • 2024. A Novel NLP-Based Stock Market Price Prediction and Risk Analysis Framework. Journal of Computer Science and Technology.
  • 2023. Enhancing Flood Resilience: Streamflow Forecasting and Inundation Modeling in Pakistan. Engineering Proceedings.
  • 2023. Towards Effective Emotion Detection: A Comprehensive Machine Learning Approach on EEG Signals. BioMedInformatics.
  • 2022. Significance of Machine Learning for Detection of Malicious Websites on an Unbalanced Dataset. Digital.
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