AIRLab Projects

Listed below are the ongoing or concluded projects within AIRLab. As a dynamic research lab, we engage in multiple research projects.

Ongoing Projects:

  • (GAIA) Apr.24 – Sep.26
    Title: “Generation and Real-Time Implementation of Acceleration Response Spectrum for Early Warning and Forecasting Purposes by using Regional Geological Data and Accelerometer Records fed into Deep Generative Networks”
    TÜBİTAK ARDEB 1001 (Pr. No.124E066)
    Supervisor: Dr. Akagündüz, Co-Supervisor: Dr. Tileylioğlu,
    Research Students: Melek Türkmen, Baris Yilmaz,
  • (GAIA) Apr.24 – Apr.25
    Title: “Station-based Accelerometer Record Generation and Analysis using Deep Learning”
    METU Scientific Research Project (BAP) (Pr. No. ADEP-704-11482)
    Supervisor: Dr. Akagündüz, Co-Supervisor: Dr. Tileylioğlu,
    Research Students: Melek Türkmen, Baris Yilmaz, Bevan D. Çılğın, Türkan İşpak
  • (DeepVIS) Apr.24 – Apr.25
    Title: “National Competence Centres in the Framework of EuroHPC”
    EuroCC 2 Project
    Senior Researcher: Dr. Akagündüz, (click for the entire team)
  • (GAIA) Oct.21 – Apr.24
    Title: “Deep Learning and Machine Learning Based Dynamic Soil and Earthquake Parameter Estimation Using Strong Ground Motion Station Records”
    TÜBİTAK ARDEB 1001 (Pr. No.121M732)
    Supervisor: Dr. Tileylioğlu, Co-Supervisor: Dr. Akagündüz,
    Research Students: Melek Türkmen, Baris Yilmaz, Bevan D. Çılğın, Sanem Meral, Melis Çıkış
    Project Outputs:
    • B. Yilmaz, M. Türkmen, S. Meral, E. Akagündüz, and S. Tileylioglu. “Deep learning-based average shear wave velocity prediction using accelerometer records” 18th World Conference on Earthquake Engineering (WCEE2024).
    • Melis Çıkış, “Machine Learning of Accelerogram Data for Analyses, Modeling and Prediction” MSc Thesis submitted to the Dept. of Electrical and Electronics Eng, Çankaya Uni. Supervisor: Dr. Akagündüz, Co-supervisor: Dr. Tileylioğlu.

Completed Projects:

  • (DeepVIS) Oct.22 – Jan.24
    Title: “Deep Learning-based and Real-Time Visual Tracking System Using Infrared and Visible Band Fusion”
    METU Scientific Research Project (BAP) (Pr. No. AGEP-704-11000)
    Supervisor: Dr. Akagündüz,
    Research Students: Abbas Türkoğlu
    Project Outputs:
    • Abbas Türkoğlu, “Deep Learning-based Object Tracking System by Using Visual and Thermal Infrared Fusion” MSc Thesis submitted to the Graduate School of Informatics, METU.
    • Abbas Türkoğlu, Erdem Akagündüz, “EANet: Enhanced Attribute-Based RGBT Tracker Network”, Int. Conf. Machine Vision (ICMV 2023).
  • (DeepVIS) Sep.20 – Aug.21
    Title: “GPU Driver Infrastructure Construction for Deep Learning Research”
    Çankaya Uni. Scientific Research Project (BAP) (Pr. No. MF.20.008) 
    Supervisor: Dr. Akagündüz,
    Research Students: Baris Yilmaz
    Project Outputs:
    • Baris Yilmaz, “Efficient Implementation of Convolutional Neural Networks On Embedded Devices” MSc Thesis submitted to the Electrical and Electronics Eng. Dept., Çankaya Uni. Supervisor: Dr. Akagündüz.
    • Erdem Akagündüz, Oğuzhan Çifdalöz “Dynamical System Parameter Identification using Deep Recurrent Cell Networks” Neural Computing and Applications, 2021