Bejjanki Pooja is an Assistant Professor in Computer Science and Engineering, dedicated to quality teaching, student development, and emerging technologies. She has experience teaching IoT, Cloud Computing, DevOps, and Fundamentals of Artificial Intelligence, with technical proficiency in C, Python, HTML, SQL, Windows, Linux, and Microsoft Office. Her research interests include Artificial Intelligence, Machine Learning, IoT, Cloud Computing, Image Processing, Cybersecurity, and Intelligent Systems. She has contributed to research publications in areas such as lung nodule detection, gesture-based volume control, image enhancement, predictive maintenance, diabetic retinal neuropathy detection, cloud security, and device-to-device communication.
She has actively participated in FDPs, workshops, webinars, and certification programs and completed NPTEL courses in IoT and Cloud Computing. She has also contributed to student mentoring and skill development, including mentoring students for certification under PayPal’s Student Enablement Program. She is a Life Member of ISTE, IAEPT, and IAENG. Her professional interests focus on quality education, research, technological innovation, and student mentoring, with the aim of preparing students for the evolving demands of the technology industry
