Shahina Begum
Papers
2
Total Citations
20
H-Index
2
About
Shahina Begum is a researcher at the intersection of artificial intelligence, assistive technology, and healthcare decision support. Her work primarily focuses on developing intelligent systems that enhance human capabilities and improve quality of life, with particular emphasis on case-based reasoning (CBR) for medical and industrial applications. Her most cited work, "Case-Based Reasoning for Medical and Industrial Decision Support Systems" (2010), has garnered 18 citations and demonstrates her foundational contributions to applying AI methodologies for real-world problem-solving. Begum has also made notable strides in assistive technology, as evidenced by her 2019 paper on a vision-based indoor navigation system for individuals with visual impairment. This innovative work employs machine learning algorithms for obstacle avoidance, addressing the critical challenge of independent navigation for visually impaired persons in indoor environments. While her citation counts reflect an emerging career, the practical impact of her assistive technology research is significant, offering tangible solutions for daily living challenges. Begum’s work exemplifies how AI can be harnessed for both industrial efficiency and social good, making her a promising voice in applied artificial intelligence and human-centered computing.
Research Focus
Key Achievements
Top Papers
- 1Case-Based Reasoning for Medical and Industrial Decision Support Systems18 citations · 2010
- 2