Anastasia Iskhakova
Papers
8
Total Citations
45
H-Index
4
About
Anastasia Iskhakova is a researcher whose work spans two compelling and increasingly intertwined fields: secure multi-agent robotics and brain-computer interface (BCI) technologies. Her most influential contributions focus on developing robust security frameworks for intelligent robotic systems, including pioneering the application of digital watermarking techniques for hidden signal transfer in multi-agent robotic coalitions — work that has garnered 15 citations and addresses critical challenges in search-and-rescue and reconnaissance operations. Complementing this, her research on agent verification under communication suppression conditions (11 citations) offers practical solutions for maintaining robotic group integrity in adversarial environments. Beyond robotics security, Iskhakova has made notable strides in human-machine interaction, investigating neuro-computer interfaces that leverage steady-state visually evoked potentials (SSVEP) and electroencephalogram signals to enable direct brain-based control of cyber-physical systems and drones. Her work on blink-controlled drone interfaces and EEG signal analysis reflects a commitment to expanding accessible, intuitive control mechanisms for robotic platforms. With cumulative citations across diverse publication years and a research trajectory that bridges cybersecurity, autonomous systems, and neurotechnology, Iskhakova represents an emerging voice in the development of safe, intelligent human-robot interaction systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Neuro-Computer Interface Control of Cyber-Physical Systems4 citations · 2022
- 4
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- 6Network-centric motion control algorithm for a group of mobile robots3 citations · 2022
- 7Brain-Computer Interface Based on Operator Blinks to Control the Drone2 citations · 2022
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