Join us for "AccelerateUS," an event exclusively for female technology experts. In honor of International Women's Day, this initiative aims to boost skills in AI-driven software testing and quality assurance.
Who should attend?
This program is ideal for women professionals in software testing, quality assurance, and development who are keen to deepen their understanding and application of AI in their portfolio.
What will you learn and achieve?
- Foundational and informative knowledge: Gain a deeper understanding of AI-led software testing tools through a curriculum developed by UST experts and Professor Yashar Baradaranshokouhi, Senior Lecturer in Computer Science at the Leeds Trinity University.
- Practical methodologies: Engage with training sessions that teach practical applications and methodologies, enhancing your daily work and long-term career.
- Real-world insights: Learn from case studies and interactive sessions led by industry leaders.
- Networking opportunities: Connect with like-minded people, industry mentors, and leaders to expand your professional network.
- Certification: Receive recognition for your expertise in AIdriven testing with a certificate that enhances your professional credentials.
Why attend?
- Tailored learning experience: With limited seating, each session is designed for maximum interaction and hands-on learning, allowing for a more profound and personal learning experience.
- Career advancement: Elevate your expertise with AI-driven testing techniques in high demand. These techniques will set you apart in the tech industry and boost your career trajectory.
- Networking opportunities: Connect with like-minded professionals and build lasting relationships with leaders and mentors in the field, expanding your professional network and opening doors to new opportunities.
Speaker
Yashar Baradaranshokouhi
Senior Lecturer in Computer Science at Leeds Trinity University

Biography
His research focuses on the applications of AI, data science, advanced signal processing and complex system modelling in neuroscience, biomedical applications, and healthcare. He has extensive experience in designing and developing programmes of studies and module specifications, as well as conducting pedagogical experimentations. Yashar has been actively involved in editorial activities, serving as an Editorial Board Member for the Journal of Learning Assessment Teaching in Higher Education. His expertise lies within the field of Automation and Advacned Systems Engineering, Computer Science and Informatics, contributing significantly to academic publications and peer review processes.
Secure your spot today and join us in leading the future of AI-driven software testing.