Research

On-going Projects  

Project Title: Enhancing IST Pedagogy with Generative AI: A New Approach to Teaching and Learning  

Duration: 12. 2024 - 06. 2026   

Funding: College of IST Teaching Grant 

Project Coordinators (PI): Prof. Dhananjay Singh 

In this project, we propose to develop a Generative Artificial Intelligence (GenAI)-enabled teaching ecosystem to enhance student engagement and learning outcomes through innovative pedagogical approaches in core courses taught in the college of IST, such as Basic Programming, Computational Thinking, and Technical Writing. Our study aims to address emerging challenges associated with GenAI in academic environments and introduce new teaching methods centered around its capabilities. 

GenAI in Education

Project Title:  AI for Aging Populations:  Enhancing Senior Wellness Through Intelligent Digital Assistants 

Duration: 04. 2025 - 06. 2026   

Project Coordinators (PI): Prof. Dhananjay Singh 

As global populations age, loneliness has become a growing public health concern among senior citizens, with significant implications for both mental and physical health. Research shows that 33–57% of adults aged 65 and older report experiencing symptoms of loneliness and social isolation. These conditions are closely linked to increased risks of depression, anxiety, dementia, hypertension, heart attacks, and strokes. This project aims to address the loneliness epidemic among seniors through the development of an Artificially Intelligent Digital Service for Wellness (AIDSW). Unlike traditional interventions that rely on occasional human contact, such as phone check-ins or group sessions, AIDSW leverages artificial intelligence and user-centered design to offer consistent, personalized support. This intelligent assistant will monitor wellness in real-time, foster social interaction, and ensure timely communication with caregivers or family members when needed. By integrating accessible technology with AI-driven engagement, this initiative has the potential to enhance quality of life, reduce health risks associated with loneliness, and establish a scalable, proactive model for elder care.


An AI-Powered Solution to Address Loneliness and Health Risks in the Elderly 

Project TitleLanding with Accuracy: AI-Enabled System for UAV Precision Descent and Touchdown 

Duration: 05. 2025 - 04. 2026   

Project Coordinators (PI): Prof. Dhananjay Singh 

Unmanned Aerial Vehicles (UAVs) are increasingly used across industries such as logistics, surveillance, agriculture, and emergency response. A critical challenge in UAV operations is achieving high-accuracy autonomous landing, especially in constrained, dynamic, or GPS-denied environments.

This project aims to develop a robust precision landing system for UAVs by integrating computer vision, sensor fusion, and advanced control algorithms. The system will leverage onboard cameras, AI/ML Algorithms, and inertial measurement units (IMUs) to detect landing targets, estimate position in real-time, and guide the UAV safely to the designated point with sub-meter accuracy.

Key objectives include:

The outcomes of this project will enhance the reliability and autonomy of UAV operations, supporting mission-critical deployments where manual control or GPS reliance is not feasible.