Apr 24 – 26, 2025 HYBRID
Bishkek, Kyrgyzstan
Asia/Bishkek timezone

Session

Gathering Session

DSH-200
Apr 25, 2025, 11:30 AM
KTMU (Bishkek, Kyrgyzstan)

KTMU

Bishkek, Kyrgyzstan

C. Aytmatov Campus, Kyrgyzstan-Turkish Manas University, 720038, Jal, Bishkek, KYRGYZSTAN

Conveners

Gathering Session

  • Cemil Bayram

Presentation materials

There are no materials yet.

  1. Hirofumi Tanaka (Kyushu Institute of Technology, Research Center for Neuromorphic AI Hardware)
    4/25/25, 11:30 AM
    Keynote Talk
  2. Dr Azmi Awang Md Isa
    4/25/25, 12:00 PM
    Emerging Trends in Artificial Intelligence, Data Science, and Computational Innovation
    Oral Presentation

    Wireless positioning systems are essential enablers for modern applications such as smart city services, indoor navigation, autonomous systems, and industrial automation. However, accurate location estimation remains a complex challenge, particularly in environments affected by non-line-of-sight (NLOS) conditions and multipath effects, or where infrastructure is limited. This talk presents a...

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  3. Dr Hamed Niroumand (Imam Khomeini International University, Qazvin, Iran)
    4/25/25, 12:30 PM
    Sustainable and Smart Solutions in Chemical, Enviranmental, Mechanical, Civil, Petroleum, and Geomatic Engineering
    Oral Presentation

    The role of geotechnical engineering investigations in managing land subsidence and sinkholes is highly significant. Recently, various countries have been facing diverse challenges related to land subsidence and sinkholes. These phenomena can damage infrastructure, heritage sites, historical buildings, and other structures. Additionally, they play an important role in anthropology by helping...

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  4. Hirofumi Tanaka (Kyushu Institute of Technology, Research Center for Neuromorphic AI Hardware)
    Emerging Trends in Artificial Intelligence, Data Science, and Computational Innovation
    Keynote Talk

    Recent advances in deep learning have catalyzed the widespread adoption of artificial intelligence (AI) across diverse fields. However, as traditional silicon CMOS technologies approach their physical scaling limits, further improvements in AI performance are becoming increasingly constrained. In response, alternative hardware paradigms are being explored, particularly those that physically...

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