Webiner on Biomedical Signal Processing & Signal Processors

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IEEE Signal Processing Society organized an exclusive technical session titled “Webinar on Biomedical Signal Processing & Signal Processors” on 28 December 2025, in collaboration with the IEEE CUET Student Branch and IEEE WIE CUET Student Branch Affinity Group. The webinar aimed to explore the powerful intersection of signal processing, medicine, and engineering, highlighting how advanced technologies are transforming modern healthcare systems.

The session covered a broad spectrum of topics, including biomedical signal acquisition and analysis (ECG, EEG, EMG), noise and artifact removal, signal filtering and preprocessing techniques, reconfigurable computation architectures, FPGA-based signal processing systems, unified biosignal platforms for eHealth, and emerging research directions beyond traditional ECG-based diagnostics. Discussions also addressed innovative developments such as artificial organs and neural prostheses, along with the associated challenges and future prospects. Through real-world examples and research insights, the speaker demonstrated how theoretical signal processing concepts are translated into practical biomedical solutions. The webinar was open to students, researchers, and professionals interested in biomedical applications of signal processing, providing valuable exposure to current research trends and technological advancements.

The event concluded with active audience participation and an engaging question-and-answer session. Overall, the webinar successfully achieved its academic objectives, enhancing participants’ understanding of biomedical signal processing and inspiring further interest in healthcare innovation.


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  • Starts 22 December 2025 11:00 PM UTC
  • Ends 26 December 2025 06:00 PM UTC
  • No Admission Charge

  Speakers

Dr. Mehdi Hasan Chowdhury of Chittagong University of Engineering and Technology

Topic:

Biomedical Signal Processing & Signal Processors

Biography:

Dr. Mehdi Hasan Chowdhury is a Professor in the Department of Electrical and Electronic Engineering (EEE) at Chittagong University of Engineering & Technology (CUET) and serves as the Counselor of the IEEE CUET Student Branch. He earned his PhD in Electrical Engineering from the City University of Hong Kong. His research interests include Biomedical Engineering, Signal Processing, and Embedded Systems, with a strong focus on applying engineering solutions to healthcare technologies. His work encompasses biomedical signal analysis, reconfigurable computing architectures, and advanced embedded systems for medical applications. With extensive academic experience and international research exposure, he has contributed significantly to advancing research in biomedical systems and intelligent healthcare technologies.




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