Hi there! My name is Dovydas. I’m a PhD candidate 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. Also, I’ve recently founded a startup aimed at developing intelligent diagnostic tools that aid students' learning—drop me an email if you’d like to try it!

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PhD in Electronic Engineering (2018–Present, UCL)

Artificial neural networks (ANNs) have achieved spectacular results over the last decade, but at a cost of low efficiency. Our conventional computer hardware is not well suited to the computations that ANNs perform and so 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 exhibit a greater degree of volatility and uncertainty than the digital computers that we use every day.

Using simulations, I investigate to what extent the accuracy of ANNs is affected when memristor-based hardware is used to implement them. I am also interested in whether the accuracy can be increased not by optimising device performance, but by using different software approaches. I explain the rationale behind the research in less technical terms here, here and here.


  • 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, P. Freitas, Z. Chai, W. Ng, M. Buckwell, C. Li, W. Zhang, Q. Xia, A. 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. Ng, M. Buckwell, and A. Kenyon, “Simulation of inference accuracy using realistic RRAM devices,” Frontiers in Neuroscience, vol. 13, p. 593, 2019. doi:10.3389/fnins.2019.00593

Patent applications

  • A. Mehonic, D. Joksas, and A. Kenyon, “Physical implementation of artificial neural networks,” International Patent Application, PCT/GB2020/052166, 9 Sep. 2020.

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).


  • A. Kenyon, M. Munde, W. 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. There Will Be Blood [2007]
  3. Taxi Driver [1976]
  4. Once Upon a Time in the West [1968]
  5. The Truman Show [1998]
  6. American Beauty [1999]
  7. Trainspotting [1996]
  8. Boogie Nights [1997]
  9. The Big Short [2015]
  10. Full Metal Jacket [1987]
  11. Blue Velvet [1986]
  12. Back to the Future [1985]
  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. The Florida Project [2017]
  20. Goodfellas [1990]

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]