Hi there! My name is Dovydas. I’m a researcher based at University College London (UCL), where I investigate machine learning hardware. Outside university, I tutor GCSE, A-level, and IBDP students in mathematics and physics.

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PhD in Electronic Engineering (2018–2022, UCL)

I investigated how to make machine learning faster and more power-efficient. Artificial neural networks, which are incredibly popular in machine learning, have achieved amazing results over the last decade. However, conventional computers, which separate memory and computing units, are not well suited to the computations that neural networks perform. As a result, a lot of time and energy is wasted. One of the suggested alternatives is an emerging technology—memristor-based hardware. Although vastly more efficient, memristor-based implementations, compared to traditional digital computers, exhibit more variability. This could present problems.

I used experimental data and simulations to

I explain the rationale behind the research in less technical terms in the following posts:


Original research
  • D. Joksas, E. Wang, N. Barmpatsalos, W. H. Ng, A. J. Kenyon, G. A. Constantinides, and A. Mehonic, “Nonideality-aware training for accurate and robust low-power memristive neural networks,” Advanced Science, vol. 9, no. 17, p. 2105784, 2022. doi:10.1002/advs.202105784
  • D. Joksas, P. Freitas, Z. Chai, W. H. Ng, M. Buckwell, C. Li, W. D. Zhang, Q. Xia, A. J. Kenyon, and A. Mehonic, “Committee machines—a universal method to deal with non-idealities in memristor-based neural networks,” Nature Communications, vol. 11, no. 1, 2020. doi:10.1038/s41467-020-18098-0
  • A. Mehonic, D. Joksas, W. H. Ng, M. Buckwell, and A. J. Kenyon, “Simulation of inference accuracy using realistic RRAM devices,” Frontiers in Neuroscience, vol. 13, p. 593, 2019. doi:10.3389/fnins.2019.00593
  • D. Joksas and A. Mehonic, “badcrossbar: A Python tool for computing and plotting currents and voltages in passive crossbar arrays,” SoftwareX, vol. 12, p. 100617, 2020. doi:10.1016/j.softx.2020.100617
  • D. Joksas, A. AlMutairi, O. Lee, M. Cubukcu, A. Lombardo, H. Kurebayashi, A. J. Kenyon, and A. Mehonic, “Memristive, spintronic, and 2D-materials-based devices to improve and complement computing hardware,” Advanced Intelligent Systems, p. 2200068, 2022. doi:10.1002/aisy.202200068
BEng Electronic Engineering (2015–2018, UCL)

The modules that I found the most intellectually rewarding were Photonics and Communication Systems (ELEC215P), Control Systems I (ELEC3003), Numerical Methods (ELEC3030), Quantum Physics (PHAS2222), and Atomic and Molecular Physics (PHAS2224).


Original research
  • A. J. Kenyon, M. S. Munde, W. H. Ng, M. Buckwell, D. Joksas, and A. Mehonic, “The interplay between structure and function in redox-based resistance switching,” Faraday Discussions, vol. 213, pp. 151–163, 2019. doi:10.1039/C8FD00118A

Erdős Number




  1. Interstellar [2014] (YOU CAN MAKE FUN OF ME, I DON’T CARE)
  2. Once Upon a Time in the West [1968]
  3. There Will Be Blood [2007]
  4. The Truman Show [1998]
  5. Taxi Driver [1976]
  6. American Beauty [1999]
  7. Boogie Nights [1997]
  8. Back to the Future [1985]
  9. Full Metal Jacket [1987]
  10. Blue Velvet [1986]
  11. Trainspotting [1996]
  12. Phantom Thread [2017]
  13. Reservoir Dogs [1992]
  14. The Prestige [2006]
  15. A Clockwork Orange [1971]
  16. La piel que habito [2011]
  17. The King of Comedy [1982]
  18. Barry Lyndon [1975]
  19. Goodfellas [1990]
  20. The Florida Project [2017]

Songs (performances)

  1. Strawberry Fields Forever [The Beatles, 1967]
  2. Mr. Sandman [The Chordettes, 1954]
  3. Red Light Spells Danger [Billy Ocean, 1976]
  4. Stop! In the Name of Love [The Supremes, 1965]
  5. Lah-Di-Dah [Jake Thackray, 1991]
  6. Happens to the Heart [Leonard Cohen, 2019 (2016)]
  7. Hurricane [Bob Dylan, 1976]
  8. Eloise [Barry Ryan, 1968]
  9. Heroes and Villains [The Beach Boys, 1967]
  10. People Are People [Depeche Mode, 1984]
  11. 50 Ways to Leave Your Lover [Paul Simon, 1975]
  12. Ain’t No Mountain High Enough [Diana Ross, 1970]
  13. First We Take Manhattan [Leonard Cohen, 1986]
  14. Mr. Blue Sky [Electric Light Orchestra, 1977]
  15. Island in the Sun [Harry Belafonte, 1957]
  16. Paint It, Black [The Rolling Stones, 1966]
  17. War [Edwin Starr, 1970]
  18. She’s a Rainbow [The Rolling Stones, 1967]
  19. Starman [David Bowie, 1972]
  20. Bang Bang (My Baby Shot Me Down) [Nancy Sinatra, 1966]