International Conference on BIOMEDICAL SMART STRUCTURES AND SYSTEMS 2021

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The IC/SBMSSS 21 proposes to publish research papers on theoretical analysis, experimental studies and innovation concerning advanced techniques. This Symposium is not only a forum where researchers, scientists, engineers and practitioners can exchange their knowledge and experience, but also serves as an educational channel for students and any others who would like to learn more about the new trends in this field of study. This symposium meet will address the application of methods to real world scenario and seeks to strengthen a deeper understanding in the Engineering discipline by encouraging the qualitative and quantitative performance evaluation of the emerging advanced techniques.

The primary focus of the conference is to analyze biological systems from a biomechatronic point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance.

This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems for many different applications; and to develop novel nano, micro-, macro- devices that can act upon, substitute parts of, and assist human beings in prevention, diagnosis, surgery, prosthetics, rehabilitation and personal assistance. IC/SBMSSS20-21 welcomes original submissions that have not been published by researchers, clinicians and industrial partners from Medical, Biomedical, Life science, ECE, EIE Communities.

 



  Date and Time

  Location

  Hosts

  Registration



  • Start time: 07 May 2021 09:00 AM
  • End time: 08 May 2021 04:40 PM
  • All times are (GMT+05:30) Asia/Calcutta
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  • Co-sponsored by Saveetha Engineering College
  • Starts 25 April 2021 03:40 PM
  • Ends 30 April 2021 03:40 PM
  • All times are (GMT+05:30) Asia/Calcutta
  • No Admission Charge


  Speakers

Dr. Celia Shahnaz, Professor, Department of EEE, BUET, Dhaka Chair, IEEE Bangladesh Section

Topic:

Impact of Deep Learning in Healthcare Sector

Address:India

Dr. Somashekhar S. Hiremath Department of Mechanical Engineering Indian institute of Technology Madras

Topic:

Applications of Robotics in Health care System






Agenda

 

PAPER PRESENTATION

 

TRACK 1 : BIOMEDICAL SYSTEM

Bio Smart Systems

Fuzzy Logic / Neural networks

Diagnostic and Therapeutic Instrumentation

Biometric and Biomaterials

Medical Informatics

Telehealth and Telemedicine

 

 

TRACK 2: HEALTH CARE TECHNOLOGIES

Nano/Micro Bio Engineering

Tissue/Cellular Engineering

Biomaterials and Artificial Organs

Computational Systems, Modeling and Simulation in Medicine

Cardiovascular and Respiratory system Engineering

Neural and Rehabilitation Engineering

Biomedical sensors and Wearable Systems

Biomechanics and control system

Translational Engineering for Healthcare Innovation
TRACK 3: BIOMEDICAL IMAGING AND SIGNAL/IMAGE PROCESSING

3D and Surface Reconstruction

Automatic Image and video Annotation

Medical Image retrieval and Cryptography, Watermarking

Medical image filtering and Enhancement

Medical image Segmentation and recognition

Medical Image compression and coding

Medical image feature detection and classification

Super resolution Imaging

TRACK 4: ARTIFICIAL INTELLIGENCE MODELS & APPLICATIONS
Expert Systems/Fuzzy Systems
Artificial Neural Networks/Genetic Algorithms
Machine Learning, and Deep Learning Approaches
Natural Language Processing
Semantic Web Intelligence & Models

TRACK 5: COMPUTER VISION

Biologically Inspired Vision

Gesture and Activity Recognition

Model based Vision

Motion Tracking and Analysis

Motion flow and Visualization

Object detection and Recognition

 

TRACK 6: BIOMEDICAL APPLICATIONS

Augmented and Mixed Reality

Biometrics, Facial Recognition

Gait Analysis, Fall detection and prevention

Mental health and Cognitive Stimulation

Multimedia Databases

Occupational Therapy

Telemedicine

3D Printing in Medical

 



  Media

BMSSS 21 REPORT 3.76 MiB