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, Osman B. Çelik, Delfin Bengisu Gürkan,
  
• (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, N. Şehbal Soyuslu, İrem Doğrusöz
  
• (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)
  Project Outputs:
  • EURO CC E-learning courses: Fundamental Concepts of Generative Machine Learning, Instructor: Dr. Akagündüz
    

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Completed Projects:

• (GAIA) Oct.21 – Jul.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:
  • Melek Türkmen, Sanem Meral, Baris Yilmaz, Melis Çıkış, Erdem Akagündüz, Salih Tileylioglu “Deep Learning-based Epicenter Localization using Single-Station Strong Motion Records” [under review]
  • Ümit Mert Çağlar, Baris Yilmaz, Melek Türkmen, Erdem Akagündüz, Salih Tileylioglu “Exploring Challenges in Deep Learning of Single-Station Ground Motion Records” [under review]
  • 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.
  • Melis Çıkış, Salih Tileylioğlu, Erdem Akagündüz, “Evrişimsel Ağ Kullanımı için Deprem İvmeölçer Kayıtlarının Gösterimi” (SIU 2020)
    
• (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