Maleika Heenaye- Mamode Khan
University of Mauritius
Research areas: Computer Science · Signal Processing · Biometric Identification and Security · Advanced Neural Network Applications · AI in cancer detection
0000-0001-9299-1152
About
Dr (Mrs) Maleika Heenaye- Mamode Khan is an Associate Professor in the Department of Software and Information Systems, at the Faculty of Information, Communications and Digital Technologies, at the University of Mauritius. She has a PhD in Computer Science and Engineering. Her research areas are computer vision, data analytics, intelligent systems and deep learning. She dedicates herself in providing practical solutions using computer vision and Artificial Intelligence (AI) for many health problems (E.g.: breast cancer, skin problem, oesophagus cancer, diabetic retinopathy, Alzheimer among others) which have an impact on the economy and society. She has collaborated with the Ministry of Health and Wellness in Mauritius with regards to breast cancer, which is rising at an alarming rate. She coordinated the project where data was collected data and analysed to determine the potential factors that caused breast cancer in Mauritius, addressing SDG 3, that is 'Ensure healthy lives and promote well-being for all at all ages'. She has over 50 publications and has participated in many renowned International conferences. Her paper “Machine learning algorithm on keystroke dynamics pattern has received the best paper award for the 2018 IEEE Conference on Systems, Process and Control (ICSPC) (pp. 11-16). She is a senior member of the IEEE. Over the year, she has been able to attract several research funds at national and international level for conducting research. The main research funding bodies at the local level is the Mauritius Research and Innovation Council (MRIC) and Higher Education Commission (HEC). The International funding body is the DAAD (German Academic Exchange Service) and BMBF (Federal Ministry of Education and Research, Ministry of Germany). One major project on which she has also worked is the mounting of a research lab known as the Artificial Intelligence and Data Analytics lab (AIDA Lab) at the University of Mauritius. She supervises MPhil/ PhD students in cutting edge applied research in computer vision and AI.
Employment
Employment history is unavailable.
Education
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University of Mauritius BSc (Hons) Computer Science and Engineering
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- ADAMAEX—Alzheimer’s disease classification via attention-enhanced autoencoders and XAI Save
- Exploring Vision Transformers and Explainable AI for Enhanced Artefact Classification in Esophageal Endoscopic Images Save
- Detection of Alzheimer’s disease using pre-trained deep learning models through transfer learning: a review Save
- Development of an ensemble CNN model with explainable AI for the classification of gastrointestinal cancer Save
- An Enhanced Deep Neural Network Model for the Detection of Anomalous Behavior of Drivers in Road Traffic Save
- Endoscopic Image Classification using Vision Transformers Save
- Explainable AI For Colorectal Lesion Classification Using Deep Learning Models With Attention Mechanism Save
- Explainable Chronic Kidney Disease (CKD) Prediction using Deep Learning and Shapley Additive Explanations (SHAP) Save
- Improving the performance of DeepFace CNN using Canonical Correlation Analysis Save
- An ICT architecture for Smart Local Councils: a Mauritian case study Save
- Identification of Crown of Thorns Starfish (COTS) using Convolutional Neural Network (CNN) and attention model Save
- A review on a sensor based brain–computer interface and its applications Save
- Classification of Gastrointestinal Cancer through Explainable AI and Ensemble Learning Save
- Convolutional Autoencoder versus Common Dimensionality Reduction Algorithms for Face Recognition Save
- Application of revised firefly algorithm and grey wolf optimisation on keystroke dynamics Save
- Human footprint biometrics for personal identification using artificial neural networks Save
- Vehicle Recognition Using Convolution Neural Network (CNN) Save
- Vehicle recognition using convolution neural network Save
- Endoscopic Image Analysis Using Deep Convolutional GAN And Traditional Data Augmentation Save
- Investigating on Data Augmentation and Generative Adversarial Networks (GAN s) for Diabetic Retinopathy Save