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π Congratulations to "Team Onnesok" and "SofTouch" for Their Selection in UIHPβs 2nd Cohort π
We are glad to announce that our teams, "Team Onnesok" and "SofTouch" have been selected for the University Innovation Hub Program (UIHP) at BRAC University.
UIHP (The University Innovation Hub Program), a flagship initiative of the Bangladesh Hi-Tech Park Authority (BHTPA), and funded by the World Bank, is part of the Digital Entrepreneurship and Innovation Ecosystem Development (DEIED) project.
π "Team Onnesok" is dedicated to developing an advanced, affordable bionic arm that combines cutting-edge sensory feedback, natural movement, and user-friendly design to transform lives.
π "SofTouch" is focused on a brain-computer interface (BCI) based robotic rehabilitation using a soft robotic glove and arm. By integrating this advanced pneumatic control with soft robotics, the team aim to provide a cost-effective alternative to conventional methods, particularly benefiting low-income regions.
For more information visit: https://lnkd.in/gGMpXiMH
Congratulations!
We congratulate three participating teams from the Biomedical Science and Engineering Research Center (BIOSE ) in the renowned IEEE HTC competition for their achievements π
1οΈβ£ Bionic Arm with Sensory Feedback
π Award Type: Gold Award π₯
π₯ Team Members: Ratul Hasan, Taznia Tabassum Onon, Koushik Dey, Sumaiya Akter
2οΈβ£ Design and Development of an AI-assisted 3D-printed MEMS-based Stethoscope for Real-time Heart Monitoring and Cardiovascular Disease Prediction
π Award Type: Silver Award π₯
π₯ Team Members: Md Jobayer, Anika Nawrin, Minhazul Islam Rifat, Md. Mehedi Hasan Shawon
3οΈβ£ Multipurpose Internet of Things Devices for Health Monitoring System
π Award Type: Bronze Award π₯
π₯ Team Members: Sirazzum Munira, Minhazul Islam Rifat, Nusrat Sultana, Sumaiya Akter
Congratulations!
π Exciting News from the BIOSE Research Center! π
We are thrilled to announce that two of our cutting-edge research projects have received a total of 1.3 Million BDT in funding from the prestigious Research Seed Grant Initiative (RSGI) at BRAC University!
1οΈβ£ Design and Development of a 3D-printed MEMS-based Stethoscope for Real-time Heart Monitoring and Cardiovascular Disease Prediction Using Machine Learning
Β Β Β Led by our brilliant PI, Dr. Golam Rabiul Alam, who has recently been recognized among the top 2% of researchers globally, this project aims to revolutionize heart monitoring and empower medical professionals with advanced machine learning tools.
2οΈβ£ BCI-driven Neural Rehabilitation for Motor Dysfunction Patients Using Soft Robotic Gloves
Β Β Β Led by PI Md. Mehedi Hasan Shawon, this innovative project focuses on utilizing brain-computer interfaces (BCI) and soft robotics to restore motor function in patients with neurological disorders.
A big thank you to everyone who has contributed to the success of these project fundings. Your hard work and dedication have made this achievement possible! π
π BIOSE will soon be looking for research assistants to join these groundbreaking projects. Stay tuned to our website and social media for upcoming opportunities!
Congratulations to Dr. Rabiul!
On behalf of everyone at BIOSE Research Center, we are thrilled to extend our heartfelt congratulations to our esteemed advisor, Dr. Golam Rabiul Alam, for being recognized among the top 2% of scientists worldwide by Stanford/Elsevier. This prestigious achievement is a testament to your exceptional contributions to the field, unwavering dedication, and the remarkable impact your work continues to have globally.
21 August 2024
We have submitted our work AttDiCNN - Attentive Dilated Convolutional Neural Network for Automatic Sleep Staging using Visibility Graph and Force-directed Layout in IEEE Transactions on Neural Networks and Learning Systems. Preprint Paper
21 May 2024
We have submitted our work, A Systematic Review and Meta-Analysis on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence in Heliyon. Preprint Paper
16 May 2024
Open House Discussion at BIOSE.
09 May 2024
We have submitted our work FunnelNet - An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time in the IEEE Journal of Biomedical and Health Informatics. Preprint Paper
14 April 2024
We officially formed the Biomedical Science and Engineering Research Center to conduct collaborative research and contribute to this domain.
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