WKU Institute of Societal & Contemporary Computing
Who We Are ————
The name of this Institute shall be “WKU Institute of Societal & Contemporary Computing”. Research is the primary activity of this Centre. Problem orientation and relevance have been the priority in the formulation of the Centre’s research perspectives. Research problems and gaps are identified based on the existing knowledge, trends and behavioral parameters. The Centre’s research focuses more on the economic and social problems. This institute takes up research in the fields of multidisciplinary projects in different fields like Agriculture and Food Security, Education, Pubic security, Irrigation and Water Management, Public Finance, Demography, Health and Environment...
To be the leading international university-based research institution dedicated to advancing, applying and facilitating high standards of social and behavioral research practice, and execute educationally relevant, economically sound research programs.
·Ensure the training of future researchers in basic, clinical and educational research.
·Increase innovation through the development of new technology applicable to the healthcare system.
·To make an impact for patients and health care providers by developing, validating and implementing viable AI solutions for medical imaging.
·Accelerate the advancement of knowledge to favor the promotion of health, improvement of care and quality of life.
Director: Dr. Sujatha Krishnamoorthy, College of Science and Technology
Co-director: Dr. Baha Ihnaini, College of Science and Technology
What We Do————

Campus News————
NEWS ————
MoU Signed between Wenzhou Central Hospital and Wenzhou kean University for Identifying Environmental and Genetic Factors of Parkinson's Disease (PD) Progression through Machine Learning"

During the implementation of this project, Parkinson's disease patients need to complete a series of scales to investigate their socio-demographic data,

Machine Learning based Postpartum Hemorrhage Prediction Model

Postpartum hemorrhage (PPH) is an obstetric emergency instigated by excessive blood loss which occurs frequently after the delivery. The PPH can result in volume depletion, hypovolemic shock, and anemia.

AI enabled Prototype to identify the patient-specific treatments to preserve vision for persons with diabetes.

The uncertainty of sight loss from diabetic retinopathy has dropped dramatically over the past few decades with advancements in medications like laser surgery, intraocular drug delivery, diabetes and blood pressure medications. But, diabetes remains to be a vital cause of blindness. This proposal compiles a novel idea in diabetic retinopathy analysis and contributes a prospect on possibilities for future studies. The new findings of the pathophysiology of diabetes and diabetic retinopathy provide a prominent control in metabolism.The more outcomes can be predicted using Structure-function analyses and intraocular drug therapy. The core objective of this proposal to develop a prototype to detect and quantify vision loss and also to provide patient-specific treatments in a better way using Artificial Intelligence Techniques. Through this, it is possible to conserve eyesight for diabetes persons and as well as to diagnose the patients upon their needs.

Early Detection of Parkinson’s through Handwriting Analysis

Here are about 11 million Parkinson’s and Essential Tremor patients in the china , with approximately 200,000 to 3 million additional people per year being affected by this disease. Our work supports a larger research initiative to help this population. Although various treatments/therapies exist to help improve tremor conditions, it would be valuable if we could detect these conditions in the earlier stages of their development. Our team has discovered that this early detection can be achieved through handwriting analysis. The promise here is that patients’ handwriting can be analyzed so that the initiation and progression of the disease, as well as interventions on the disease can be quantitatively tracked. The purpose of our work is to identify if our method of analysis is a reliable resource for observing patients’ handwriting.

88 University Road, Li'ao street, Ouhai District, Wenzhou City, Zhejiang Province
Dr. Sujatha Krishnamoorthy
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