Dr Anju Tom

Biography

Dr Anju Jose Tom is a Research Fellow level B (Project Management capability) within the School of Electrical Engineering and Robotics of the Science and Engineering Faculty at Queensland University of Technology (QUT).  She brings her expertise in Data Science, computer vision, and signal processing and has a proven track record of leading computer vision projects in France and Australia. She is renowned for her expertise in technical project management in multidisciplinary fields of computer vision, and signal processing. Professionally, she is a qualified Data Science and Signal Processing researcher, educator, and a qualified project manager.  Her academic foundation is in applied mathematics, applied statistics, and computer science. Anju’s career journey began at NIT Calicut, where she conducted extensive research to develop algorithms for moving object detection in challenging surveillance scenarios. She was successful in formulating advanced object detection techniques considering complex video scenarios that addressed challenges such as dynamic backgrounds, noisy videos, incomplete videos, compressively sampled videos, and low- resolution videos. The deployment of the schemes developed in her thesis in surveillance systems will enhance public safety in various practical domains by improving threat detection capabilities. Anju’s dedication to research, the novelty, and relevance of her contributions, combined with her efficient presentation style with all required details, are what make her Ph.D. thesis, project documentation, and other publications significant.
In July 2020, after her Ph.D. graduation, she expanded her research horizons as a postdoctoral researcher and project manager at the French National Institute for Digital Science, known as INRIA, in Rennes, France. There, she contributed to a nationally significant project called Data Repurposing, aimed at proposing innovative approaches for a new data compression scenario, potentially revolutionizing energy-efficient digital storage solutions.
In 2022, she was selected for a Research Fellow position at QUT to manage an Australian
Department of Defence-based project called the Low-cost Cognitive Electronic Warfare system to be equipped in military drones. This project aims to develop algorithms that can localize and characterize threat signals in a warfare environment. Now her research interest is in developing a visual search engine based on dynamic user preferences.  For her years of experience, international exposure, and expertise in producing excellent research contributions to the computer vision research community with publications in reputed journals, Anju has been awarded a global talent visa in Australia. Anju has about 8 years of comprehensive experience in predictive modeling, data analysis, deep learning mathematical and statistical modeling, strong programming expertise, and a collaborative spirit. Her commitment to academic excellence is evidenced by her publications in high-impact research journals and presentations at international conferences.  From the project management perspective, her skills are project master planning, project administration, coordination, relationship management, stakeholder engagement, communication, people skills, conflict resolution skills, organizational skills, scope management, risk management, and schedule and cost management with official and sensitive documentation. She is passionate about both teaching and managing projects according to agreed timelines, resources, and budgets for client-focused projects. She coordinates milestone deliveries and other events such as national conferences and workshops within her projects. As an educator, she does exceptional and professional tutorials and practical sessions for Engineering students at QUT.  She has a great interest in lecturing even in the past and was an assistant professor in the Department of Electronics at CCST College of Technology, affiliated with the University of Calicut, Kerala, India.  She knows how to make use of her scientific background and research skills in complicated projects when it comes to addressing non-routine situations or researching to fulfill certain project tasks.