Author: SISAYKEOPhonepaserth

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2026 Participation Report

ICASSP 2026 was held from May 4 to 8, 2026, at the Centre de Convencions Internacional de Barcelona in Barcelona, Spain.

ICASSP is one of the world’s premier international conferences in the field of signal processing, covering a broad range of research topics including acoustics, speech processing, image and video processing, machine learning, artificial intelligence, and sensor-driven signal analysis. The conference gathers researchers, engineers, and industry professionals from around the world to present and discuss the latest advances in these fields.

We presented the following paper:

Session Information
Session: SPTM-P20: Machine Learning and Sensor-Driven Signal Analysis
Session Type: Poster Presentation
Presentation Date: Friday, May 8, 2026

The presentation poster and related materials are also available on IEEE SPS SigPort

 

 

 

We were honored to have the opportunity to present our research at ICASSP 2026, a prestigious international forum that brings together leading researchers and industry experts from around the world. According to the conference organizers, this year’s conference attracted more than 4,844 in-person participants, reflecting the growing global interest in signal processing, artificial intelligence, and machine learning technologies.

During the conference, we attended various plenary talks, technical sessions, and poster presentations, where many cutting-edge studies and emerging research trends were introduced. The active discussions and interactions with researchers from diverse backgrounds provided valuable insights and meaningful academic exchange opportunities.

Our presentation received positive feedback from conference attendees and led to insightful discussions regarding the proposed Koopman–Chebyshev framework for governing PDE identification. The experience was highly valuable for sharing our research outcomes, receiving constructive comments, and expanding international research connections.

We would like to express our sincere appreciation to everyone who supported this research and conference participation. We look forward to continuing our research activities and contributing further to the international signal processing research community.

 

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ITE Technical Group Meeting on Media Engineering (ME) Oct. 2024 Participation Report

The Institute of Image Information and Television Engineers (ITE) Technical Group Meeting on Media Engineering (ME) was held on October 1st-2nd, 2024, at Room 1, B3F, Japan Society for the Promotion of Machine Industry (3-5-8 Shiba-Koen, Minato-ku, Tokyo 105-0011, Japan).

We gave the following presentations.

Through this presentation, we engaged in meaningful discussions with professors and specialists in media engineering and digital modeling, gaining insights into the latest advancements in Digital Twin applications. We were excited to receive valuable feedback and learn that our research is drawing interest from researchers across various fields and institutions.

It was an enriching experience to participate in presentations that addressed diverse approaches in media engineering, offering us fresh perspectives and inspiration for future research.

 

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Niigata University Data Science and AI Symposium 2024 Participation Report

The Niigata University Data Science and AI Symposium 2024 was held on Thursday, September 19, 2024, at Bandai Silver Hotel (1-3-30 Bandai, Chuo-ku, Niigata City, Japan).

We gave the following poster presentation.

    • Tsubasa NAITO1， Ryuto ITO1， Yuichi TANAKA2， Shogo MURAMATSU1 (1. Niigata Univ.，2. Osaka Univ.) : DICTIONARY LEARNING FOR DIRECTED GRAPH SIGNALS VIA AUGMENTED GFT

    • Phonepaserth Sisaykeo1, Hiroyasu Yasuda1, Kiyoshi Hayasaka1 and Shogo Muramatsu1 (1. Niigata University) :  FLOW-PATH FITTING FROM IMAGES WITH SUPPORT VECTOR REGRESSION FOR RIVER HEALTH ASSESSMENT

    • Ryuto Ito1, Tsubasa Naito1, Hiroyasu Yasuda1, Masaaki Nagahara2 and Shogo Muramatsu1 (1. Niigata Univ., 2. Hiroshima Univ.) :  SPARSE-CODED TIME-DELAY GRAPH DMD FOR PREDICTION OF RIVER WATER LEVEL DISTRIBUTION

We engaged in insightful discussions on the latest trends in Generative AI, Big Data, and cloud technologies. The presentations sparked valuable exchanges, and the activity report provided a comprehensive view of cutting-edge research applications. The poster session also offered an opportunity to receive useful feedback through a lively exchange of ideas with the participants.

Overall, it was a stimulating experience, highlighting the significance of our work and fostering opportunities for future collaboration.

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The 39th International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC 2024) Participation Report

ITC-CSCC 2024 was held on July 2nd – 5th, 2024, at the Okinawa Institute of Science and Technology Graduate University (OIST) in Okinawa, Japan.

ITC-CSCC 2024 is an international conference covering the areas of Circuit Design, System Designs, Computer Systems and Communication Networks, with participants primarily from Korea, Thailand, and Japan.

We gave the following presentations.

SS-5 Signal Processing for Sensing Applications, Date: July 4, 2024

  • Phonepaserth Sisaykeo1, Hiroyasu Yasuda1, Kiyoshi Hayasaka1 and Shogo Muramatsu1 (1. Niigata University) :  FLOW-PATH FITTING FROM IMAGES WITH SUPPORT VECTOR REGRESSION FOR RIVER HEALTH ASSESSMENT

Poster III, Date: July 4, 2024

  • Ryuto Ito1, Tsubasa Naito1, Hiroyasu Yasuda1, Masaaki Nagahara2 and Shogo Muramatsu1 (1. Niigata Univ., 2. Hiroshima Univ.) :  SPARSE-CODED TIME-DELAY GRAPH DMD FOR PREDICTION OF RIVER WATER LEVEL DISTRIBUTION

Both presentations were well-received by the conference attendees, sparking insightful discussions and potential collaborations. Our participation in ITC-CSCC 2024 has been a valuable opportunity to share our research findings, gain feedback, and network with experts in the field.

We look forward to future engagements and contributions to the ITC-CSCC community.