Teaching & Speaking
Empowering learners and professionals through innovative pedagogy, workshops, and thought leadership.
Courses
Designing and delivering transformative learning experiences in MIS and Analytics.
MIS 380: Business Intelligence & Analytics
Comprehensive course covering data visualization, business intelligence tools, and analytics methodologies. Students gain hands-on experience with Tableau, Google Analytics, and SAP.
Problem Formulation & Data Presentation
Advanced course focusing on research design, data analysis, and effective communication of findings. Emphasizes critical thinking and evidence-based decision making.
Enterprise Systems
Innovative flipped classroom approach to enterprise resource planning systems, business process integration, and organizational technology adoption.
Workshops & Training
Professional development sessions on AI, ethics, and inclusive pedagogy.
AI Prompting for Teaching
Hands-on workshop training faculty on effective use of generative AI tools in course design, assessment creation, and student engagement. Covers prompt engineering, ethical considerations, and practical applications.
- Prompt engineering techniques for educators
- AI-assisted curriculum development
- Ethical AI use in assessment
Data Ethics & Responsible AI
Interactive sessions exploring ethical implications of data collection, algorithmic bias, and responsible AI deployment in educational and organizational contexts.
- Ethical frameworks for data use
- Bias detection and mitigation
- Privacy and consent design
Faculty of Color Mentorship
Mentorship program supporting faculty of color in navigating academia, research productivity, and work-life balance. Focus on community building and professional development.
- Career navigation strategies
- Research collaboration networks
- Work-life integration
Conference Presentations & Talks
Sharing research insights and thought leadership at national and international venues.
LIWC-Based Sentiment Analysis of Depression Apps
Presented novel methodology combining linguistic analysis with sentiment detection to evaluate mental health application effectiveness.
Insights from Depression App User Reviews
Shared findings from sentiment analysis and topic modeling of user-generated content in mental health applications.
Ontological Model for Asthma Diagnosis
Demonstrated knowledge representation framework for clinical decision support in asthma management.
Invite Me to Speak
Available for keynotes, workshops, and panel discussions on AI in education, data ethics, health informatics, and inclusive pedagogy.
Request Speaking Engagement