The Big Data Analytics Center (BIDAC)

Development of machine learning and deep learning algorithms for imbalanced and one-class classification problems

PI - Amir Ahmad, College of Information Technology, UAE University, Al Ain, UAE

Co-PI - Dr. Shehroz S. Khan, Toronto Rehabilitation Institute, University of Toronto, Canada.

Real-time adaptive brachytherapy treatment planning system based on multi-modality image guidance for cervical cancer

PI – Nazar Zaki, College of Information Technology, UAE University, Al Ain, UAE

Co-PI - Wenjian Qin, The Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Science (CAS)

COVID-19 Pandemic Simulator For Decision Making

Researchers from the Big Data Analytics Center (BIDAC) are working on developing a Pandemic Simulator to provide a better understanding of the effects of social distancing and isolation on the development of the pandemic.

Nazar Zaki, Tetiana Habuza and Stefanache Cornel

Big Data Analytics Center (BIDAC), UAEU

Intelligent Clustered Body Language Analysis of Healthcare Patients

Body language is a type of nonverbal communication in which physical behaviors – visible bodily actions, instead of words, are used to express or convey the information. Such behaviors can be postures, gestures, stances, and movements of any part of the body or the body as a whole.

Big Data Analytics Center (BIDAC), UAEU

Comprehensive Kinetic Modelling of The Antibacterial Behaviour of Camel Milk Compared to Bovine Milk

Camel milk (CM) is an important ingredient that can contribute to food security in UAE and other countries with harsh climates. CM may also provide healthier alternatives to bovine milk (BM) for allergic and diabetic individuals.

Curricular Analytics – Based Approach to Enhance The Performance and The Graduation Rate of UAEU Students

In an increasingly complex world, the demand for skills inherited from science, technology, engineering, and mathematics (STEM) education is dominating the global economy.

Mohammad Hayajneh (PI-UAEU), Najah Abu Ali (UAEU), and Chaouki Tanios Abdallah (Georgia Institute of Technology)

Identifying Protein Complexes in Protein-Protein Interaction Data Using Graph Convolutional Network

Protein complexes are groups of two or more polypeptide chains that bind to form noncovalent networks of protein interactions. Over the past decade, researchers have created a number of means of computing the ways in which protein complexes and their members can be identified through these interaction networks...

Big Data Analytics Center (BIDAC), UAEU

PRAS_IS dataset: The dataset is named after the project title “Prognostication of Recovery from Acute Stroke”

Weather parameters were obtained from the National Oceanic and Atmospheric Administration for Al Ain website: daily ambient temperature (TEMP), relative humidity (RH), wind speed (WDSP), and AP. The number of days between stroke onset and a given weather event was also measured (expressed by a number after the acronym, e.g., WDSP7 is the wind speed 7 days before hemorrhage onset)...

Big Data Analytics Center (BIDAC), UAEU

PRAS_ICH dataset: The dataset is named after the project title “Prognostication of Recovery from Acute Stroke”

Weather parameters were obtained from the National Oceanic and Atmospheric Administration for Al Ain website: daily ambient temperature (TEMP), relative humidity (RH), wind speed (WDSP), and AP. The number of days between stroke onset and a given weather event was also measured (expressed by a number after the acronym, e.g., WDSP7 is the wind speed 7 days before hemorrhage onset)...

Big Data Analytics Center (BIDAC), UAEU

COVID-19 (Dubai Mediclinic) dataset

We did a retrospective analysis of the clinical data obtained as a standard of primary and secondary care. The study sample included all the consecutive patients admitted to Dubai Mediclinic from 24th February to 1st July 2020 who fit the criteria of eligibility mentioned above (560 cases totally). Using this sample met the intention of the study: to allow for the early prognostic stratification...

Big Data Analytics Center (BIDAC), UAEU

SSCT Dataset: The dataset is named after the title of the Stroop switching card test (SSCT) which is a modification of Stroop switching test by Dr. Maroua Belghali.

A sample of 103 participants, aging from 15 to 75 years, participated voluntarily in this experiment. The inclusion criteria were: (i) literate, (ii) a score of Mini-Mental State Examination greater or equal to 27, and (iii) the absence of visual and auditory impairments. The exclusion criterion was the presence of any medical, psychiatric, or neurologic impairment that could significantly affect cognitive functions...

Big Data Analytics Center (BIDAC), UAEU

Speech to code converter.

It is a webapp used to convert speech to python code. A human will give any basic machine learning command and the app will extract the important keywords from the commands and develop the machine learning model....

Big Data Analytics Center (BIDAC), UAEU