Dr Ramya Anandan

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Role:

Lecturer in Information Science

Department staff:

College of Arts, Technology and Environment

Research staff:

Currently, working on AI ethics and Data Analytics, predictive modelling

Teaching staff:

Ethics in Digital media, Foundational technical Skills (HTML, CSS, PHP), Strategy and Governance in IT, Machine learning, Data science (data management fundamentals), Machine learning

Qualifications:B.Sc., (Physics with Computer Applications), M.sc (Computer Science), Mphil., (Computer Science), Ph.D., M.Sc (Data Analytics, University of York)
Position:Lecturer in Information Science
Department:College of Arts, Technology and Environment
Email:Ramya.Anandan@uwe.ac.uk
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About me

I am currently a Lecturer in Information Science, with a strong academic and research background in Medical Image Processing, Data Analytics, and Artificial Intelligence. Over the years, I have held positions as an Assistant Professor at various university and colleges in India, B.S.A.R.C Institute of Science and Technology,(2019-2020), Jain University, India (2018-2019), and Lady Doak College, India (2015-2016). I earned my PhD in 2019 from Manonmaniam Sundaranar University, India, specializing in mammogram denoising algorithms for medical image processing. Currently, I am pursuing a second Master's degree in Data Analytics at the University of York, UK, further strengthening my expertise in data-driven decision-making.

In addition to my academic roles, I have contributed to research and innovation by publishing three patents in India: An Apparatus for Overtopping Prevention for Vehicles and a Method Thereof, IoT-Based Bend Sensor for Seriously Ill Patients in ICU, and System and Method for Solar-Powered Washing Machine for Industrial Purposes. I have also authored a on Data Problems and Architecture Analysis in Python (ISBN: 978-81-950290-0-6, First Edition 2020).

My areas of interest include Decision Intelligence Systems, the Growing Adoption of AI, and Ethical Considerations in AI and Advanced Developments. I am passionate about sharing knowledge through research talks and collaborations in these fields. I look forward to connecting with fellow researchers and professionals to explore advancements in AI and data analytics.

Area of expertise

Medical Imaging (Speciality in Mammogram image denoising, brain tumor detection and predictions). Data Analytics and Ethical consideration in advance AI.

Publications

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