Dr. Waqar Ali, Waqar Ali

Arbeit an der ZHAW

Tätigkeit

Research Associate/Postdoc

Arbeits- und Forschungsschwerpunkte

Pattern Recognition, Graph Neural Networks, Deep Learning, Machine Learning, Computer Vision, Natural Language Processing

Lehrtätigkeit

• COMPUTER SCIENCE LECTURER
• COMPUTER SCIENCE LECTURER

Berufserfahrung

• developing algorithm
  University of Alicante, Spain
  05 / 2024 - 08 / 2024
• Lecture planning, preparation and delivering, Supervising BS students
  Department of Computer Science, Lahore Garrison University, Lahore, (Pakistan).
  03 / 2021 - 10 / 2021
• Lecture planning, preparation and delivering, Supervising BS students
  ABASYN UNIVERSITY ISLAMABAD
  02 / 2019 - 02 / 2021

Aus- und Weiterbildung

Weiterbildung

• PhD in Computer Science
  Ca Foscari University of Venice, Italy
  03 / 2025
• MASTER OF SCIENCE IN COMPUTER SCIENCE
  Comsats University Islamabad
  01 / 2019
• BACHELOR OF SCIENCE IN COMPUTER SCIENCE
  Comsats University Vehari Campus, Islamabad
  06 / 2016

Netzwerk

ORCID digital identifier

ORCID ID: 0000-0003-2089-0429

Auszeichnungen

• Shahbaz Sharif Merit Scholarships (SSMS)
  Federal Govt., Pakistan
  02 / 2017
• Bachelor Fellowship
  Higher Education Commission (HEC) Pakistan
  03 / 2012

Social Media

Linkedin

Projekte

• Evidence-Based Diagnostic Assistance for Echocardiography / Teammitglied / laufend

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• Ali, W., Vascon, S., Stadelmann, T., & Pelillo, M. (2026). Multi-view graph pooling via dominant sets for graph classification. Pattern Recognition, 172, Part D(112786). https://doi.org/10.1016/j.patcog.2025.112786
• Ali, W., Vascon, S., Stadelmann, T., & Pelillo, M. (2024). Hierarchical glocal attention pooling for graph classification. Pattern Recognition Letters, 186, 71–77. https://doi.org/10.1016/j.patrec.2024.09.009

Bücher, peer-reviewed

Ali, W. (2025). Advanced representation learning techniques for graph neural networks [Doctoral dissertation, Ca’ Foscari University]. https://doi.org/10.21256/zhaw-32794

Schriftliche Konferenzbeiträge, peer-reviewed

• Ali, W., Stämpfli, S., Stadelmann, T., Aschkenasy, S., & Abdulkadir, A. (2026, April 8). Automated, vendor-agnostic measurement of myocardial tissue velocities in echocardiography. 23rd IEEE International Symposium on Biomedical Imaging (ISBI), London, United Kingdom, 8-11 April 2026. https://doi.org/10.21256/zhaw-35211
• Ali, W., Vascon, S., Stadelmann, T., & Pelillo, M. (2026, January 23). Topology-aware node dropping augmentation for graph classification. 6th International Conference on Neural Networks, Information and Communication Engineering (NNICE), Hefei, China, 23-25 January 2026. https://doi.org/10.21256/zhaw-35188
• Begga, A., Ali, W., Niculescu, G., Escolano, F., Stadelmann, T., & Pelillo, M. (2025). Community-hop : enhancing node classification through community preference [Conference paper]. In A. Torsello, L. Rossi, L. Cosmo, & G. Minello (Eds.), Structural, Syntactic, and Statistical Pattern Recognition (pp. 21–30). Springer. https://doi.org/10.1007/978-3-031-80507-3_3

Publikationen vor Tätigkeit an der ZHAW

A hybrid CNN-LSTM model for improving accuracy of movie reviews sentiment analysis

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