EDGE AI

EDGE AI

Smart Computing Where It Matters

Haleh Dizaji

Haleh Dizaji

Post-doctoral Researcher
📧 haleh.dizaji@uibk.ac.at
📍 ICT 2M05A
🏢 Technikerstraße 21A, 6020 Innsbruck, Austria
🔗 ORCID: 0000-0002-5886-9636

Research Interests

  • Deep Learning
  • Graph Machine Learning
  • Reinforcement Learning

Positions

2025 - Present
Postdoctoral Researcher , Department of Computer Science
University of Innsbruck , Austria
2023 - 2025
PostDoctoral Researcher , Department of Information Technology (ITEC)
University of Klagenfurt , Klagenfurt, Austria
2016 - 2022
Research Assistant
University of Tabriz , Tabriz, Iran

Assisted in research:

  • Modeling Events on Networks
  • Influence Maximization on Dynamic Networks Assisted in multiple courses:
  • Theory of Languages and Automata
  • Compiler Design
  • Operating Systems Lab

Education

2016 - 2022
Ph.D. in Computer Engineering (Artificial Intelligence and Robotics)
University of Tabriz
Tabriz, Iran
2013 - 2016
M.Sc. in Computer Engineering
University of Tabriz
Tabriz, Iran
2005 - 2013
B.Sc. in Computer Engineering (Software Engineering)
Sharif University of Technology
Tehran, Iran

Publications

• S. Dizaji, S. Haleh and Farahani, Reza and Ro\vz. Graph Sampling Quality Prediction for Algorithm Recommendation. 2024 IEEE 31st International Conference on High Performance Computing, Data, and Analytics (HiPC). , , 2024, pp. 243--254. [Publisher]
• S. Dizaji, S. Haleh and Pashazadeh, Saeid and Musevi Niya, Javad. A Comparative Study of Some Point Process Models for Dynamic Networks. Complexity. Wiley Online Library, , 2022, pp. 1616116. [Publisher]
• S. Dizaji, S. Haleh and Patil, Kishor and Avrachenkov, Konstantin. Influence Maximization in Dynamic Networks using Reinforcement Learning. SN Computer Science. Springer, , 2024, pp. 169. [Publisher]
• S. Dizaji, S. Haleh and Rozanec, Joze M and Farahani, Reza and Roman, Dumitru and Prodan, Radu. An Extensive Characterization of Graph Sampling Algorithms. Companion of the 15th ACM/SPEC International Conference on Performance Engineering. , , 2024, pp. 135--140. [Publisher]
• Vasiliu, Laurentiu and S. Dizaji, S. Haleh and Eberhart, Aaron and Roman, Dumitru and Prodan, Radu. Modeling and Generating Extreme Volumes of Financial Synthetic Time-series Data with Knowledge Graphs. Proceedings of the 26th CEUR Workshop on Financial Knowledge Graphs. , , 2024, pp. . [Publisher]
• S. Dizaji, S. Haleh and Pashazadeh, Saeid and Musevi Niya, Javad. Wasserstein Generative Adversarial Networks for Modeling Marked Events. The Journal of Supercomputing. Springer, , 2023, pp. 2961--2983. [Publisher]
• Seyed Dizaji, Seyedeh Haleh and Zolfy Lighvan, Mina and Sadeghi, Ali. Hardware-based Parallelism Scheme for Image Steganography Speed up. International Conference on Innovative Computing and Communications: Proceedings of ICICC 2020, Volume 2. , , 2020, pp. 225--236. [Publisher]