With a PhD in Computer Science focused on Security in Software-Defined Networking (SDN) and an MBA in Data Analytics, I bring over 15 years of experience in applying advanced technologies to drive meaningful innovation. My journey began with a passion for intelligent automation and process improvement, which grew as I explored emerging fields like Generative AI, deep learning, and predictive analytics. Through my research, publications, and applied work, I’ve delved into SDN security, cognitive automation, and edge computing, bridging theoretical insights with practical application.

I’ve had the privilege of collaborating on groundbreaking digital transformation projects, aligning technical solutions with business strategies to create real impact. My approach combines human-centered design principles with a strong foundation in data-driven methods, crafting solutions that optimize both operational efficiency and user experience. As an educator, I am dedicated to sharing my expertise in AI, SDN security, and process mining, emphasizing real-world applications and critical problem-solving techniques.

Throughout my career, I’ve also contributed to academia, fostering the next generation of innovators and tech leaders. Whether teaching advanced topics in automation, data science, or security, I aim to empower students with the skills needed to thrive in today’s dynamic technology landscape. My courses are designed to be engaging, accessible, and grounded in real-world insights, ensuring that learners gain both the theoretical foundations and practical tools to excel.