1. 1
Meysam Mehranfar | No. 116, Imam khomeyni 70 alley, Imam khomeyni St. Mashad, Iran| E-mail:
meysam.mehranfar@gmail.com | Mobile Phone: +989012620965
CURRICULUM VITAE
General Information
Meysam Mehranfar
Gender: male
Date of Birth: 30 January 1987
Nationality: Iranian
Marital status: Single
Education
M.Sc. Biomedical Engineering, Iran University of Science and Technology (IUST), Sep
2011-Feb 2014.
- Pain management
- Neural signal processing
- Machine Learning
B.Sc. in Electronic Engineering, Khavaran Institute, Sep 2006-Sep 2010.
- Electronic Circuits
- Microcontrollers
Research Experiences
M.Sc. Thesis: Detection of Nociceptive Chronic Pain Levels Using Spinal Cord Neural
Signals, Aug 2012-Feb 2014 (score: 20/20)
Main Seminar of M.Sc.: Different methods for control of chronic pain with spinal cord and
cerebral stimulation, Feb 2012-Sep 2012.
Computational Neuroscience: Studying the firing rate, Spike-Triggered Average (STA) and
Tuning Curve for recorded data from visual cortex of cat in response to three different
stimulus, Oct 2012-Dec 2012.
Biomedical Signal Processing: Implementation of biomedical signal processing methods in
MATLAB, May 2012-Jun 2012.
Biological System Modeling: Neural Network Control of Functional Neuromuscular
Stimulation Systems: Computer Simulation Studies, Nov 2012-Dec 2012, simulation of
paper in Matlab.
Neural Network: Implementation of various neural net work (Perceptron, RBF, etc) with
different learning rules (delta-delta, LMS, back propagation, etc) in Matlab, Oct 2012-Dec
2012.
Pattern recognition: Feature extraction, feature selection and Classification for epileptiform
using EEG signal, May 2012-Jun 2012.
2. 2
Meysam Mehranfar | No. 116, Imam khomeyni 70 alley, Imam khomeyni St. Mashad, Iran| E-mail:
meysam.mehranfar@gmail.com | Mobile Phone: +989012620965
Digital signal processing: Implementation of Digital signal processing methods in
MATLAB, Oct 2011-Dec 2011.
Publications
M. Mehranfar, A. Erfanian, “Detection of Nociceptive Chronic Pain Levels Using Spinal
Cord Neural Signals”, The 22nd Iranian Conference on Electrical Engineering (ICEE 2014).
Shahid Beheshti University, Iran, Tehran May 20-22, 2014.
M. Mehranfar, A. Erfanian, “Detection of Nociceptive Chronic Pain Levels Using Spinal
Cord Neural Signals”. Ready for final edition and submission.
Honors and Prizes
The best paper of Biomedical Engineering field within 22nd Iranian Conference on Electrical
Engineering (ICEE 2014), Shahid Beheshti University, Iran, Tehran May 20-22,
2014.
Research interest
Pain management, Neural signal processing, EEG signal processing, Machine learning.
Taken courses within M.Sc.
Biomedical Signal Processing, Biological System Modeling, Pattern Recognition, Neural
Network, Computational Neuroscience, Digital Signal Processing, Digital Control Systems,
Biomedical Instrument, Anatomy, Physiology.
presentations
Biomedical Signal Processing: Decoding 3-D Reach and Grasp Kinematics From High-
Frequency Local Field Potentials in Primate Primary Motor Cortex, May 2012.
Biological System Modeling: Exploring Peripheral Mechanism of Tremor on
Neuromusculoskeletal Model. A General Simulation Study, Nov 2012.
Neural Network: An Incremental Training Method for the Probabilistic RBF Network, Nov
2012.
Computational Neuroscience: A Closed Loop Feedback System for Automatic Detection
and Inhibition of Mechano-Nociceptive Neural Activity, Dec 2012.
Digital Control Systems: A Computer Simulation for Insulin Injection of Diabetic Patient,
Dec 2011.
Digital Signal Processing: Addressing Multiple Indicators on a Single Optical Fiber. Digital
Signal Processing Approaches for Temperature Compensated Oxygen Sensing, Nov 2011.
Anatomy: Spinal cord & spinal nerves, Dec 2011.
3. 3
Meysam Mehranfar | No. 116, Imam khomeyni 70 alley, Imam khomeyni St. Mashad, Iran| E-mail:
meysam.mehranfar@gmail.com | Mobile Phone: +989012620965
Instrumentation Skills
Animal surgery (rat).
Neural extracellular recording (with 64 channel multichannel system).
Work Experiences
Abzar Teb Asman Company, Product Specialist and Business development, Jun 2014-present
Iran Neural Engineering Laboratory, Researcher, Feb 2012-Feb 2014.
Physics & Mathematics Tutor, part time, 2009-2014
ElectroGhodrat Toos, Technician, Sep 2005-Sep 2006.
Language Skills
English: Ready for TOEFL.
Persian: Mother Tongue
Arabic: Basic
Computer Skills
Professional software: MATLAB (Neural Network Toolbox, Signal Processing Toolbox,
Statistics Toolbox, Wavelet Toolbox).
Mc rack (multichannel system software)
General Software: MS Office (Word, Excel, Access and PowerPoint)
Hobbies & Interests
Traveling and communicating with different cultures.
Conduct a team or group.
Cycling
References
Dr. Abbas Erfanian, Full Professor, Biomedical Engineering, Department of Bioelectric,
faculty of electrical engineering, Iran University of science and technology, tehran, Iran.
E-mail: erfanian@iust.ac.ir
Phone: +98 21 77240465,
Fax: +98 21 77240253
Dr. Mohammad Reza Daliri, Associate professor, Biomedical Engineering, Department of
Bioelectric, faculty of electrical engineering, Iran University of science and technology,
tehran, Iran.
E-mail: daliri@iust.ac.ir
Phone: +98 21 77240540, Extension: 5738