Helen Adesola
Papers
1
Total Citations
2
H-Index
1
About
Helen Adesola is a rising researcher at the forefront of cybersecurity and automation, whose work bridges the critical gap between emerging threats and practical defense mechanisms. Her most-cited study, "Application of Robotics Process Automation to the MOVEit Attack: A Case Study" (2025), has already garnered 2 citations, marking a significant early impact in the field. In this seminal paper, Adesola pioneers the integration of robotic process automation (RPA) into cybersecurity incident analysis, demonstrating how automated workflows can dissect complex, large-scale attacks like the MOVEit breach. Her major contribution lies in proposing a novel framework that leverages RPA to accelerate threat detection, reduce human error, and streamline forensic investigations—a breakthrough that offers organizations a scalable, cost-effective approach to cyber defense. This work not only showcases her technical acumen but also her ability to translate theoretical automation concepts into actionable security solutions. As an emerging voice in cybersecurity, Adesola’s research is poised to influence how industries adopt automation to combat evolving digital threats, making her a scholar to watch for students and professionals alike.
Research Focus
Key Achievements
Top Papers
- 1