I'm based in London, leading the development of Fountain's podcast and music hosting platform—covering audio and video delivery via open RSS, livestreaming, and paywalled content using programmatic payments. Before that, I founded RSS Blue, a podcast hosting platform focused on direct listener-to-creator payments, which was acquired by Fountain in 2024.
Before industry, I was a UK IC Postdoctoral Research Fellow at UCL, researching cybersecurity threats to analog AI hardware—memristive and RRAM neural networks specifically—and developing defenses against adversarial attacks. My PhD, also at UCL focused on hardware acceleration of low-level machine learning operations.
I write here occasionally about open standards, podcasting, machine learning, and books I've read.
Publications
- D. Joksas, L. Muñoz-González, E. Lupu, and A. Mehonic,
Nonideality-aware training makes memristive networks more robust to adversarial attacks,
APL Machine Learning, vol. 3, no. 1, p. 016111, 2025. doi:10.1063/5.0241202 - M. Xiao, M. Hellenbrand, N. Strkalj, B. Bakhit, Z. Sun, N. Barmpatsalos, D. Joksas, H. Dou, Z. Hu, P. Lu, S. Karki, S. Kunwar, J. Major, A. Chen, H. Wang, Q. Jia, A. Mehonic, and J. MacManus-Driscoll,
Ultra-fast non-volatile resistive switching devices with over 512 distinct and stable levels for memory and neuromorphic computing,
Advanced Functional Materials, vol. 35, no. 29, p. 2418980, 2025. doi:10.1002/adfm.202418980 - D. Joksas, E. Wang, N. Barmpatsalos, W. Ng, A. Kenyon, G. 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, A. AlMutairi, O. Lee, M. Cubukcu, A. Lombardo, H. Kurebayashi, A. Kenyon, and A. Mehonic,
Memristive, spintronic, and 2D-materials-based devices to improve and complement computing hardware,
Advanced Intelligent Systems, vol. 4, no. 8, p. 2200068, 2022. doi:10.1002/aisy.202200068 - 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, p. 4273, 2020. doi:10.1038/s41467-020-18098-0 - 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 - 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 - 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
Cats
Erdős number
4