Media Coverage & Recognition

University Media Features

AI Innovation Recognition

“MSIS Mentorship Program Uses AI to Strengthen Alumni-Student Connections”
University of Maryland News | 2025
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This feature highlights the innovative AI-powered mentorship platform I created, which connects current MSIS students with alumni for professional guidance and networking.

“AI in Action: Students Deliver Ethical, Practical Solutions for Local Businesses”
University of Maryland News | 2024
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Coverage of our AI in Business Case Competition victory, showcasing practical AI implementations with ethical considerations.

Research Impact

Current Research Projects

“Misinformation Sharing Across Platforms and Its Determinants”
Collaborative research with Dr. Eaman Jahani
Investigating how misinformation propagates across different digital platforms and identifying key factors that influence sharing behavior.

“How Verification Alters Cultural Signals in Employer Reviews”
Collaborative research with R. Kamdar
Examining the impact of verification systems on the cultural content and authenticity of employer review platforms.

Collaborative Research Network

“Neuro-Symbolic AI in 2025: A Systematic Review”
Multi-institutional collaboration led by Dr. William Regli
Contributing to comprehensive review of neuro-symbolic AI developments and applications across various domains.

“Assessing the Maryland Business Climate and the Impact of Federal Policy Changes”
Policy research collaboration with Dr. K. Prasad
Analyzing the intersection of federal policy and state business environments through quantitative methods.

Professional References

Professional references are available upon request and include:

  • Academic advisors and research collaborators
  • Industry professionals from mentorship network
  • Student organization supervisors and university staff
  • Previous employers and internship supervisors

Research Outputs & Resources

Technical Contributions

  • Machine Learning Benchmarking Framework: Development of standardized evaluation methods for ML applications in information systems
  • Knowledge Graph Enhancement: Innovation in truth proximity scoring methods for misinformation detection
  • Graph Neural Networks: Contributions to interpretable AI architectures for biological applications

Open Source & Datasets

  • Gene Graph Benchmark Suite (in development)
  • AI Mentorship Platform architecture and methodologies
  • Research reproducibility materials and code repositories