Curriculum Vitae

Mehdi Khantan · Philadelphia, PA 19107

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Profile

Lead engineer with 15 years of experience in electrical engineering and data science, specializing in software, hardware, and firmware development for real-time applications in medical and neuroscience domains. Lead developer of the Virtual White Matter system, enabling real-time communication between cultured neural preparations to interconnect distinct biological neural networks. Skilled in neural signal processing, including spike detection, artifact rejection in noisy environments, and classification of neural responses. Experienced in collaborating with neuroscientists and clinicians to design, develop, and validate advanced neurostimulation and rehabilitation technologies.

Education

  • Ph.D., Electrical Engineering – Temple University, Philadelphia, PA (expected 2025)
  • M.Sc., Electrical Engineering – University of Tabriz, Iran (2013)
  • B.Sc., Electrical Engineering – University of Tabriz, Iran (2010)

Employment History

  • Visiting Scientist & Engineering Lead – Raphael Center for Neurorestoration, Thomas Jefferson University (2022–Present)
  • Director of R&D – Odsun Co. LTD. (2013–2021)
  • Research Assistant – Integrated Circuit Design Lab, University of Tabriz (2011–2013)
  • Director of R&D – Tabriz University Robotic Group (2010–2012)

Research Experience

  • Developed Virtual White Matter, a system enabling cross-dish neural interaction.
  • Designed exoskeletons and wearable neurotechnology for rehabilitation.
  • Created wireless stimulation systems for spinal cord and sensory substitution.
  • Contributed to brain–computer interface trials with real-time signal processing.
  • Designed 3D microelectrode arrays and laboratory instrumentation.
  • Developed NeuroTuner, an Intan-integrated stimulation and analysis system.
  • Led firmware validation and regulatory compliance for clinical neurostimulation platforms.

Technical Skills

  • Machine Learning & Neural Signal Processing: spike detection, classification (SVM, KNN, Random Forest), feature extraction, artifact removal.
  • Embedded Systems & Circuit Design: STM32, ESP32, FPGA, PCB design (Altium, KiCad), analog/digital IC design.
  • Software Development: C, C++, C#, Python, MATLAB, IoT backend development (PHP, MySQL, REST APIs).
  • Robotics & Automation: motor control, PID algorithms, assistive robotics, CNC, 3D scanning, additive manufacturing.

Patents

Serruya, M. D., Napoli, A., Khantan, M., Lim, J., & Obeid, I. Biological Artificial Intelligence System. U.S. Provisional Patent Application No. 63/799,087. Filed May 2025. (Patent pending)

Publications

Journal Articles

  • Virtual White Matter: A novel system for cross-dish neural interaction and modulation. Journal of Neural Engineering, 2025.
  • Initial feasibility evaluation of the RISES system. Journal of Rehabilitation and Assistive Technologies Engineering, 2024.
  • The NuroSleeve: A user-centered, 3D-printed hybrid orthosis. Journal of NeuroEngineering and Rehabilitation, 2023.

Conference Presentations

  • The RISES System: Closed-loop spinal cord stimulation platform. Chicago, IL, 2023.
  • Linking isolated neural specimens via virtual white matter software. Society for Neuroscience (SfN), Washington, DC, 2023.
  • Spatiotemporal dynamics of thalamocortical slices on 3D MEAs. Society for Neuroscience (SfN), Washington, DC, 2023.