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AI Research Paper Publication Funds:
AI Research Paper Publication Funds:
January 2024 to October 2024, Received 583.25 OMR
Enhancing Jakarta Faces Web App with AI Data-Driven Python Data Analysis and Visualization (200 OMR)
An efficient Analysis of the Fusion of Statistical-Centred Clustering and Machine Learning for WSN Energy Efficiency (99.75 OMR)
Data-Driven Retention Strategies: Exploring the Efficacy of Composite Deep Learning for Customer Churn Prediction in Telecommunications (66.5 OMR)
Empowering Marketing Management and Gaming Consumer Interaction through AI and Citizen Science (33.5 OMR)
Cyber Security Based Application-Specific Integrated Circuit for Epileptic Seizure Prediction Using Convolutional Neural Network (150 OMR)
Customer Churn Prediction in the Telecom Sector with Machine Learning and Adaptive k-Means Cluster using Imbalance Data (33.5 OMR)
Block Funding Program Application:
Block Funding Program Application:
The impacts of incorporating an academic chatbot system into UTAS in the Sultanate of Oman
Proposal ID:BFP/RGP/EHR/22/251
Principal Investigator: Dr. Bala Dhandayuthapani Veerasamy
Co-Prinicipal Investigator: Dr. Gharib Al Matroushi
Co-Investigators: nil
Other Team Members: nil
Technology Readiness Level (TRL): Knowledge Development (usually public organizations) e.g. basic research & lab-based experiments
Duration in months: 24
Requested Funding (OMR): 7,000
A prominent sustainable Low-Code web app using Apex Services for emerging business support in the Sultanate of Oman, Proposal ID: not specified,
Principal Investigator: Dr. Bala Dhandayuthapani Veerasamy
Co-Prinicipal Investigator: Dr. Gharib Al Matroushi
Co-Investigators: nil
Other Team Members: nil
Technology Readiness Level (TRL): Business Development (usually private sector) e.g. scaling up, clinical trials, commercialization, market launching
Duration in months: 24
Requested Funding (OMR): 4,000
Enhancing Deforestation and Agricultural Farming Observations to Aid Farmers and Ministry of health in Sultanate of Oman using Cloud based Artificial Intelligence IoT model (Mazari Suite), Proposal ID: BFP/RGP/ICT/25/445
Principal Investigator: Dr. Bala Dhandayuthapani Veerasamy
Co-Prinicipal Investigator: Dr. Venkadeshan Ramalingam
Co-Investigators: Dr. Bhraguram T M
Other Team Members: Mr. Saud Aljabri, Mr. Rajesh Kala
Technology Readiness Level (TRL): Technology Development/ Demonstration (public & private collaboration) e.g. prototype testing, advanced-stage research
Duration in months: 24
Requested Funding (OMR): 2,600
Internal Research Grants (IRG) Application:
Internal Research Grants (IRG) Application:
Deploying an AI-Driven Real-Time Prediction and Managing Employee Psychological Stress at the UTAS for Enhanced Well-Being Support
Principal Investigator: Dr. Bala Dhandayuthapani Veerasamy
Co-Investigators: Mr. Bhaskar Reddy
Duration in months: 12
Requested Funding (OMR): 1,000
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