Core Research Areas
The School of Studies in Computer Applications, Shaheed Mahendra Karma University, actively engages in advanced research to contribute to the progress of computer science and its applications. Our faculty and students work in diverse, high-impact domains, focusing on both theoretical innovation and real-world problem-solving.
Artificial Intelligence & Machine Learning
- Development of intelligent systems for decision support
- Deep learning architectures and reinforcement learning
- AI-driven automation in healthcare, education, and governance
Medical Image Processing & Image Analysis
- Computer-aided diagnosis and detection of diseases
- Image segmentation, classification, and pattern recognition
- Application of AI for early detection of chest diseases, cancer, and neurological disorders
Data Science & Big Data Analytics
- Predictive analytics and data visualization
- Machine learning for large-scale data modeling
- Applications in business intelligence, healthcare, and social media analytics
Edge Computing
- Lightweight AI models for resource-constrained devices
- Real-time analytics at the network edge
- IoT-enabled smart solutions in agriculture, industry, and rural development
Natural Language Processing (NLP)
- Sentiment analysis and text mining
- Machine translation for Indian and regional languages
- Speech-to-text and conversational AI systems
Research Collaborations & Projects
The School is actively pursuing research projects and collaborations with academic institutions, industries, and government organizations to address real-world challenges through technology-driven solutions.
Government-Funded Projects: Faculty members are engaged in proposal submissions and collaborations with funding agencies such as DST, SERB, AICTE, UGC, ICSSR, and Chhattisgarh Council of Science & Technology.
Healthcare Partnerships: Research in medical image processing and AI in healthcare involves collaboration with hospitals, diagnostic centers, and healthcare organizations.
Industry Collaboration: Opportunities for joint research, internships, and consultancy with IT companies, startups, and industry bodies.
Societal Impact Projects: Application of AI, IoT, and Data Science for rural development, digital inclusion, and smart agriculture, with a focus on the Bastar region.
Student Innovation & Start-ups: Encouragement for students to take part in innovation challenges, hackathons, and incubation programs, fostering entrepreneurship.