Mahdi received his bachelor’s degree from Islamic Azad University (Iran). He obtained his master’s degree in electronics, from Sharif University of Technology. In 2018, he obtained his Ph.D. degree from Ferdowsi University of Mashhad. After that, he served as the CEO of a knowledge base company in Iran. In Oct. 2020, he joined CenBRAIN as a postdoctoral fellow. Presently, Dr. Tarkhan is a postdoctoral fellow in CenBRAIN Labs, focusing on analog and mixed-signal integrated circuit design for biomedical applications.

Mahdi Tarkhan has been working on the implementation of brain-inspired algorithms on hardware. As part of his master thesis, he developed a CMOS circuit to implement the Ink-Drop-Spread (IDS) method, which is the processing engine for Active Learning Method (ALM). He focused on memristors and fuzzy logic controllers while pursuing his Ph.D. He developed a fully programmable fuzzy logic controller based on memristors. His research interest at CenBRAIN Labs is in analog and mixed-signal circuit design for biomedical devices and biosensors. Presently, he is researching noise reduction techniques and low-noise amplifier topologies and designs. He developed a method for low-flicker noise amplifier design using current density and corner frequency as design variables for transistor optimization. Additionally, he is developing a design methodology and transistor optimization techniques for chopper amplifiers.

[1] M. Tarkhan, and M. Maymandi-Nejad, “Design of a Memristor Based Fuzzy Processor,” AEU -International Journal of Electronics and Communications, 84, 331–341, 2018.

[2] M. Tarkhan, M. Maymandi-Nejad, S. Haghzad Klidbary, and S. Bagheri Shouraki, “A Bridge Technique for Memristor State Programming,” International Journal of Electronics, 107(6), 1015–1030, 2020.

[3] M. Tarkhan, S. B. Shouraki, and S. H. Khasteh, “A Novel Hardware Implementation of IDS Method,” IEICE Electronics Express, 6(23), 1626–1630, 2009.