

Prof. Goldie Gabrani holds a B.E., M.E., and Ph.D. in Computer Science and Engineering from Delhi College of Engineering. She brings a rich and diverse experience in higher education, having served at prestigious institutions including Delhi College of Engineering (now DTU), Netaji Subhas Institute of Technology (now NSUT), BML Munjal University, and Manav Rachna University, where she held the position of Dean (Engineering). She is currently associated with JIIT, Noida.
Prof. Gabrani has been deeply involved in institution building, with a strong focus on strategic academic planning, policy development, and the implementation of innovative pedagogies. She actively promotes student engagement, integration of emerging technologies beyond the curriculum, and real-world project-based learning. Her efforts have significantly contributed to enhancing the academic and technical ecosystem of the institutions she has served.
A passionate technology enthusiast, she has published numerous research papers in national and international journals and conferences. She has also developed working prototypes, filed multiple patents, and provided practical solutions to industry challenges. Her areas of interest include digital transformation in healthcare, cybersecurity, human-computer interaction, distributed computing, and the transformation of engineering education.
Prof. Gabrani is committed to delivering quality and inclusive education, fostering holistic student development. Through her relentless dedication, she continues to inspire both colleagues and students, emerging as a dedicated mentor and leader in technical education.
Prof. Goldie Gabrani’s research spans over three decades, combining foundational computing with forward-looking, interdisciplinary innovation. Her work addresses critical challenges in healthcare analytics, cybersecurity, distributed systems, and human-computer interaction.
Her recent contributions focus on AI-driven healthcare solutions, including pixel-wise retinal vessel classification, stress detection using fractal dimensions and brain signals, and survival prediction in cancer patients. She has published in reputed journals such as Biomedical Signal Processing and Control, Multimedia Tools and Applications, Computational Intelligence and Neuroscience, Computer Standards and Interfaces, Journal of Network and Computer Applications, and International Journal of Human-Computer Studies. Among her notable works is a 2023 study on Higuchi Fractal Dimension for stress classification, showcasing the potential of physiological signal analysis in mental health. Her 2022 research on an IoT-based telecare system with lightweight authentication presents a secure, scalable model for remote healthcare. Additionally, her gamified app -Unlock Me -bridges behavioural science and digital engagement to raise COVID-19 awareness.
Earlier in her career, Prof. Gabrani made significant contributions to distributed computing. Her 2004 paper introduced a Distributed Queue Approach for resource location in broadband environments, while her 2002 work proposed heuristic techniques for optimizing resource allocation. Her 1995 research on a Computer-Controlled Information Display System (CCIDS) was a notable early advancement in real-time systems.
With over 15 patents filed—including one granted in 2025—Prof. Gabrani’s research stands out for its industry relevance and social impact, translating academic knowledge into actionable, inclusive solutions for real-world challenges

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