Kalpana M

Presented an oral research paper titled “A Retrospective Observational Study on the Neutrophil–Lymphocyte Ratio as an Inflammatory Marker in Sepsis” at the International Conference on Applied Statistics and Data Analytics, organized by Kristu Jayanti College, Bengaluru, in collaboration with Mahatma Gandhi University, Kottayam and Bangalore University, Bengaluru, 12–13 February 2026.

Presented a paper titled “Four Decades (1978–2017) of Agricultural Change: Rice and Minor Pulses in Karnataka District” at the International Conference on Multidisciplinary Research and Innovation (ICMRI–2025), 29–31 July 2025.

Presented a paper titled “Age, Gender and Spatial Differentials in Mysuru District [2020–2025]” at the National Conference on Artificial Intelligence (AI): A Multidisciplinary Approach in Research (AIMAR–2025), 11–12 September 2025.

Completed Faculty Development Programme on “Advanced Tools and Techniques for Research Methodology” to strengthen research methodologies and statistical analysis skills.

Participated in Seven-Day National Online Faculty Development Programme on “AI Tools for Research” to integrate artificial intelligence techniques into research practices.

Engaged in the Two-Day Seminar/Conference on “Probability and Statistics” at the University of Mysore, Manasagangotri, Mysuru under the RUSA Sponsored Faculty Improvement Programme from 12 to 13 December 2025.

Contributed to academic presentations and professional development activities to enhance research skills and knowledge.

• Delivered engaging lectures on subject matter, enhancing understanding among diverse student demographics.
• Developed course materials and lesson plans aligned with curriculum standards.
• Facilitated classroom discussions, fostering student participation and critical thinking skills.
• Collaborated with colleagues to enhance teaching strategies and share effective best practices.
• Participated in faculty meetings to contribute to academic policy discussions and decisions.
• Evaluated student performance through tests, quizzes, presentations, projects, or other assessments.

• Delivered statistical analysis, predictive modeling, and evidence-based insights for interdisciplinary research projects in public health, economics, and social sciences using R, Stata, SPSS, and Python.
• Developed engaging lesson plans for diverse student groups.
• Delivered lectures on curriculum topics with clarity and enthusiasm.
• Facilitated classroom discussions to encourage student participation.

• Developed and delivered undergraduate and postgraduate courses in statistics, biostatistics, econometrics, and quantitative research methods, enhancing student comprehension and application of quantitative skills.
• Designed curriculum and supervised student research while integrating real-world data analysis into classroom learning, bridging theory and practice to improve student engagement.
• Simplified complex statistical concepts, engaged students in critical thinking, and fostered analytical literacy, resulting in improved student performance and understanding.