Biomedical Engineering
Hardware and algorithms that connect sensors to clinical insight.
Research
We combine robotics, AI‑driven perception, and biomedical engineering to create assistive and diagnostic technologies.
Biosignal & Image Processing
Signal processing and vision for sEMG, PZT, ultrasound, and medical imaging.
Neuroscience
Decoding neural and muscular activity for intention detection and control.
Digital Circuits for Medical Applications
Low‑power DSP/FPGA/ASIC designs for portable biomedical devices.
Robotic Arms & Control
Human‑in‑the‑loop control, manipulation, and rehabilitation robotics.
sEMG & PZT Sensing
Surface EMG and piezoelectric sensing for motion intent and haptics.
People
Principal Investigator, students, and research assistants at Sharif University of Technology.
Dr. Mehran Jahed
Principal Investigator
Ms. Fazeli
PhD Student
Mrs. Shariftabar
PhD Student
Ms. Naghdabadi
PhD Student
Mr. Sepehr Farahani
Master's Student – Digital Systems
Mr. Bagheri
Master's Student – Biomedical Engineering
Mr. Noorian
Master's Student – Biomedical Engineering
Research Assistants
Mr. Ali Akbari
Research Assistant
Ms. Zahra Moradi Shahrbabak
Research Assistant
Alumni
- Dr. Asadpour
- Ms. Melina Bagher
- Mr. Ali Akbari
- Mr. Ahmadreza Tajari
Publications
Recent papers and preprints. Links out to publisher pages and full texts when available.
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IEEE Xplore Article
Link to abstract.
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IEEE Xplore Article
Link to abstract.
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PLOS ONE Article
Open‑access link.
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Electrical Engineering (AUT) Journal Article
Link to article page.
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IEEE Xplore Article
Link to abstract.
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IEEE Xplore Article
Link to abstract.
News
Recent highlights.
Lab website launched
We’ve launched our new site with publications, people, and research themes.
New grant awarded
Brief description of the project and funder.
Welcome new lab members
Short intro to the people joining.
Contact
Email, address, and social links.
Email: jahed@sharif.edu
Address: Robotics & Machine Vision Lab, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
Social: Google Scholar (PI)