Deep Learning for Biomedical and Healthcare Applications
As a follow-up to our recent meeting on "The Ultimate Software: Machine Learning and Intelligence" (https://events.vtools.ieee.org/m/281946), this month's meeting takes a more in-depth look at Deep Learning and its uses in the fields of biomedical and health care applications.
A recording of the presentation can be found at https://youtu.be/442hS3QPXKI.
Deep learning is a tool to support various industrial, biomedical and health care applications. Various machine learning processes have played a significant role in Robotics applications, medical image classification and abnormality detection from musculoskeletal radiographs . There are other 2-D images that are utilized for Tuberculosis, COVID 19 detection. Many Networks, such as Densenet, Resnet, Inception v3, and Capsnet architecture will be explained for musculoskeletal radiographs abnormality detection and other life threatening diseases detection . Such computer-based automatic detection of abnormality and diseases saves time, and is more accurate, thus creating a huge impact on the community and humanity and helps achieve the UN sustainable development goals.
Date and Time
Location
Hosts
Registration
- Date: 22 Oct 2021
- Time: 12:00 PM to 01:00 PM
- All times are (GMT-05:00) US/Eastern
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- Starts 30 September 2021 04:08 AM
- Ends 22 October 2021 11:59 PM
- All times are (GMT-05:00) US/Eastern
- No Admission Charge
Speakers
Dr. Celia Shahnaz of Dept. of Electrical & Electronic Engineering, Bangladesh University of Engineering and Technology
Deep Learning for Biomedical and Healthcare Applications
Biography:
Celia Shahnaz, SMIEEE, Fellow IEB, received her Ph.D. degree from Concordia University, Canada and is currently a Professor at the Department of Electrical & Electronic Engineering, Bangladesh University of Engineering and Technology.
She has published more than 150 international journal/conference papers. She is a recipient of the Canadian Commonwealth Scholarship/Fellowship and Bangladesh Academy of Science Gold Medal for her contribution in Science and Technology. Her research interests include the areas of signal processing for speech analysis and speech enhancement, audio-visual recognition for biometric security, control system, robotics, pattern recognition, machine learning and deep learning for audio, video, biomedical, power signals, multimodal emotion recognition, and humanitarian technology.
Recently, her papers have received best paper awards in IEEE BECITHCON 2019, biomedical Engineering tracks at TENCON 2017 and at IEEE WIECON-ECE 2016, in Humanitarian Challenge track at R10 HTC 2017, and the best interactive poster award at ICIVPR 2017. Her paper has been selected for the top ten best paper awards in the Student Paper Contest of the 2018 and 2014 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), College Station, Texas, USA and Knoxville, TN, USA, respectively. She was the winner, of the Best Student Paper Award, 2008 IEEE International Conference on Neural Networks and Signal Processing (ICNNSP), Zhenjiang, China. She was selected as one of the finalists of the Student Research Presentation Competition in the 2009 SYTACOM Workshop, Montreal, QC, Canada.
She was the mentor of 1st/2nd prize winning projects in IEEE IAS CMD Contests (Robotics, Humanitarian) in 2017-2019, USA. She was the supervisor of 4th/5th rank winning teams in SPCUP competitions, ICASSP 2020 (Spain)/2015 (Australia) and the 5th rank winning team in the VIP CUP competition, ICIP 2020 (United Arab Emirates) .
She is the recipient of the 2021 Inspiring Women in Academia Award from Bangladesh brand forum, 2019 R10 Humanitarian Activities Outstanding Volunteer Award, 2016 MGA Leadership Award 2015 WIE Inspiring Member Award, 2013 R10 WIE Professional Volunteer Award.
She has been elected as 2022 IEEE WIE Chair-Elect. She has been appointed as 2021-23 Chair, IEEE SPS Women in Signal Processing, 2021-23 Liaison between IEEE SPS and IEEE WIE. She has been appointed as 2021-22 Member, IEEE History Committee, Liaison between IEEE History Committee and IEEE WIE, 2021 Chair, IEEE WIE History Subcommittee and 2021 Member, IEEE Educational Activities Board Faculty Resource Committee. She is 2020-21 Member, IEEE WIE Senior Member Elevation Drive, 2019-2021 Member, IEEE WIE WePower Subcommittee, 2020-21 Member, IEEE smart Village South Asian Working Group, 2017-2021 IEEE PES Women in Power (WiP) IEEE Region 10 Regional representative. She was a candidate for the 2021-22 IEEE Region 10 Director-Elect election, 2020 Member, IEEE New Initiative Committee, 2020 Chair, Women in SIGHT Working Group, , 2017, 2019 Communications Chair, IEEE SIGHT steering Committee, 2017-18 Chair, IEEE WIE Workshops Subcommittee, 2017-18 Member, IEEE Region 10 Subcommittees (WIE, Humanitarian Technology Activity, Education), and 2016 IEEE Region 10 WIE Coordinator. She has served as the Chair, IEEE Bangladesh Section, 2018-6/2021.
She is the founder & Chair, IEEE SPS, IAS Bangladesh Chapters, Co-founder & Vice-Chair, IEEE RAS, SSIT Bangladesh Chapters, Founder and Advisor, WIE AG, IEEE Bangladesh Section. She has served as the General Chair, IEEE TENSYMP 2020, IEEE SPICSCON 2019, IEEE PEEIACON 2019, General Chair: IEEE WIECON-ECE 2019, 2018, 2016, General Co- Chair, IEEE Region 10 HTC 2017 and IEEE WIECON-ECE 2017, Founder and TPC Chair: IEEE WIECON-ECE 2015, IEEE BECITHCON 2019, IEEE RAAIACON 201.
She has served as an Editorial board member, IET Signal Processing From 2018 to date and 2018-20 Member, Technical Committee, Image, Video, and Multimedia (IVM), Asia Pacific Signal and Information Processing Association (APSIPA).
She has more than 20 years of experience (20 years as an IEEE volunteer) in leading impactful Technical, Professional, Educational, Industrial, Women Empowerment and Humanitarian Technology, Power and Energy-related Projects at national/international levels.
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