Biomedical Engineer & Research Scientist

Mohammad Ali
Ahmadi Pajouh
Ph.D.

14 years of experience in EEG/EMG signal processing, rehabilitation robotics, and neurotech R&D. Johns Hopkins University collaborator. Based in Valencia, Spain.

Johns Hopkins Collaboration 500+ Citations 27 Journal Articles Open to Remote Roles
Get in Touch Google Scholar
Mohammad Ali Ahmadi Pajouh
14+
Years Experience
27
Journal Articles
33
Conference Papers
500+
Citations
500+
Clinical Sessions
30+
Students Supervised
About Me

Research, Clinic & Teaching

I am a biomedical engineer and research scientist specializing in EEG/EMG signal processing, human motor control, and rehabilitation robotics. I collaborated with Prof. Reza Shadmehr's lab at Johns Hopkins University, co-authoring a landmark study in the Journal of Neuroscience. I have 500+ hands-on clinical sessions with stroke, SCI, and TBI patients using the Gloreha Sinfonia rehabilitation robot, for which I received certified training from Idrogenet, Italy (now BTL Industries). I have taught 19 university courses and supervised 30+ PhD and MSc students.

Research Focus

EEG/EMG signal processing, brain-computer interfaces, human motor control, rehabilitation robotics, neurostimulation (tDCS, TMS, NMES), and deep learning for biosignals.

Clinical Experience

500+ robotic therapy sessions with stroke, SCI, and TBI patients. Certified Gloreha Sinfonia operator trained by Idrogenet/BTL Industries, Italy.

Teaching

19 university courses (10 graduate, 9 undergraduate). Robotics instructor for high school students using Arduino and Lego Mindstorms. Mathematics & Physics tutor.

Availability

Based in Valencia, Spain. Open to remote and hybrid roles worldwide in neurotech R&D, clinical research, biomedical signal processing, or international STEM education.

Research Areas

Scientific Expertise

EEG Signal Processing
EMG Signal Analysis
Rehabilitation Robotics
Brain-Computer Interface
Human Motor Control
tDCS / TMS / NMES
Deep Learning for Biosignals
Exoskeletons & Prosthetics
Biomedical Instrumentation
Sensorimotor Adaptation
Soft Robotics

Neural Signal Processing

Expertise in EEG/EMG acquisition, artifact removal, time-frequency analysis, fractal dimension, coherence, and brain connectivity. Tools: EEGLAB, MATLAB, MNE.

Motor Control & Rehabilitation

Research on sensorimotor adaptation, feedback control, and human motor learning — including Johns Hopkins collaboration published in Journal of Neuroscience.

Neurostimulation

Experimental and clinical work with transcranial direct current stimulation (tDCS), transcranial magnetic stimulation (TMS), and neuromuscular electrical stimulation (NMES).

AI & Deep Learning

Deep LSTM networks for biosignal decoding, neural networks for movement classification, and machine learning applied to clinical rehabilitation data.

Career

Experience

2013 — Present
Assistant Professor — Biomedical Engineering
Amirkabir University of Technology (Tehran Polytechnic), Iran
Led research in EEG/EMG signal processing, rehabilitation robotics, and motor control. 27 peer-reviewed publications. Supervised 30+ PhD and MSc students. 19 courses taught. Head of Bioelectric Specialty (2023-2024).
2022 — 2024
Clinical Researcher — Robotic Rehabilitation
Rofeydeh Rehabilitation Hospital, Tehran, Iran
500+ robotic therapy sessions with stroke, SCI, and TBI patients using the Gloreha Sinfonia. Certified installation and operation training from Idrogenet, Italy (now BTL Industries).
2010 — 2012
Visiting Research Scientist — Neuroscience
Johns Hopkins University, Lab of Prof. Reza Shadmehr, Baltimore, USA
Research on adaptive sensorimotor control. Co-authored landmark study in Journal of Neuroscience (2012): "Preparing to Reach: Selecting an Adaptive Long-latency Feedback Controller."
2012 — 2013
Faculty Member — Cognitive Modeling Group
Iranian Research Institute for Cognitive Sciences, Tehran, Iran
Research in computational neuroscience and cognitive modeling.
2004 — 2012
Teaching Assistant & Robotics Instructor
Amirkabir University of Technology, Tehran, Iran
University TA for Control Systems, Instrumentation, Calculus, MATLAB. Robotics instructor for high school students (Arduino, Lego Mindstorms). Math & Physics tutor (BSc years).
Research Output

Most Cited Publications

27 peer-reviewed journal articles • 33 conference papers • 500+ total citations

Journal of Neuroscience • 2012
Preparing to Reach: Selecting an Adaptive Long-latency Feedback Controller
Ahmadi-Pajouh MA, Towhidkhah F, Shadmehr R. — 32(28), 9537–9545
⭐ Highly Cited • Johns Hopkins Collaboration
Journal of Neurophysiology • 2013
Changes in the Human Motor Cortex during Reach Adaptation
Orban de Xivry JJ, Ahmadi-Pajouh MA, et al. — 109(1), 124–136
⭐ Highly Cited
Biomedical Signal Processing and Control • 2018
Cumulative Effects of Theta Binaural Beats on Brain Power and Functional Connectivity
Seyfi Ala T, Ahmadi-Pajouh MA, Nasrabadi AM. — 42, 242–252
Biomedical Signal Processing and Control • 2021
Higuchi Fractal Dimension: Detection of Brain Entrainment to Theta Binaural Beats
Shamsi E, Ahmadi-Pajouh MA, Seifi Ala T. — 68, 102580
IEEE Journal of Biomedical and Health Informatics • 2017
Segmentation and Measurement of Chronic Wounds for Bioprinting
Gholami P, Ahmadi-Pajouh MA, et al. — 22(4), 1269–1277
Biomedical Signal Processing and Control • 2024
Time-reassigned Adaptive Fourier Synchrosqueezing Transform
Shamsi E, Ahmadi-Pajouh MA, et al. — 97, 106692
Scientia Iranica • 2025
Deep LSTM Neural Networks for Kinematic Estimation of Finger Joint Angles Using sEMG
Saheb Jameyan M, Ahmadi-Pajouh MA, Moradi MH.
📚 View all publications on Google Scholar
Academic Teaching

Courses Taught

Courses taught across three academic institutions

Amirkabir University of Technology
Assistant Professor • 2013 – Present

Graduate Courses

  • Medical Robotics
  • Linear Control Systems
  • Modeling of Biological Systems
  • Movement Disorders: Qualitative & Quantitative Evaluation
  • An Introduction to Mechatronics
  • Calculus for Medical Informatics Students

Undergraduate Courses

  • Principles of Rehabilitation & Related Devices
  • Introduction to Biomedical Engineering
  • Hospital & Clinic Devices
  • Discrete Control Systems
  • Medical Instrumentation and Measurement
  • Electronics I
  • Linear Algebra
Institute for Cognitive Science Studies
Head of Cognitive Modeling Group • 2012 – 2013

Graduate Courses

  • Cognitive Modeling
  • Artificial Neural Networks
  • MATLAB Programming
K. N. Toosi University of Technology
Invited Lecturer • 2012 – 2013

Undergraduate Courses

  • Linear Control Systems Lab
  • Instrumentation
  • Electrical Measurement
Get in Touch

Contact

Open to remote and international opportunities in neurotech, biomedical engineering, and STEM education.

✉

Email

ahmadipajouh.ma@gmail.com
in

LinkedIn

linkedin.com/in/mohammad-ali-ahmadi-pajouh-3941a8197
📚

Google Scholar

500+ Citations
📄

Key Publication

Journal of Neuroscience