Md Jobayer
Scholar

Md Jobayer

Google Scholar ID: 4XCuwtMAAAAJ
MSc Candidate in Biomedical Engineering, Linköping University
biomedical engineeringsignal processingdeep learningcomputer vision
Citations & Impact
All-time
Citations
43
 
H-index
2
 
i10-index
1
 
Publications
14
 
Co-authors
19
list available
Resume (English only)
Research Experience
  • 2024.11 – 2025.07: Research Assistant, Department of CSE, BRAC University; Advisor: Prof. Md. Golam Rabiul Alam
  • 2023.12 – 2025.07: Research Assistant, Department of EEE, BRAC University; Advisors: Prof. Arshad M. Chowdhury, Md. Mehedi Hasan Shawon
  • 2023.07 – 2023.09: Embedded System Design Intern, FactoryNext, Bangladesh; Supervisor: Insan Arafat Jamil
  • Project: Design and Development of a 3D-printed MEMS-based Stethoscope for real-time heart monitoring and cardiovascular disease prediction using ML; Role: Research Assistant
  • Project: Brain-computer Interface Driven Neural Rehabilitation with Soft Robotic Gloves; Role: Co-PI
Background
  • Currently a Master's student in Biomedical Engineering at Linköping University, Sweden
  • Research interests include biomedical signal processing, machine learning, and device design
  • Broader research focus lies at the intersection of computation and human perception
  • Developing algorithms to infer meaningful insights from observed data, especially human-centric information
  • Previous work includes spatio-temporal feature extraction, model compression, autoencoders, early prediction, medical imaging, and bioinformatics
Miscellany
  • Generally not very social and quite shy
  • Enjoys watching TV series, historical documentaries, and travel vlogs in spare time
  • Loves spicy food, fancies luxury cars and classic watches
  • Prefers living downtown
  • Tends to wear the same clothes for multiple days due to laziness in changing outfits