
My research explores how data, automation, and intelligent systems can be transformed into tools that help people make better decisions in health, education, community life, climate awareness, and long-term planning. As an adjunct faculty member at the University of Maryland, Baltimore County (UMBC), I collaborate with graduate students and faculty in the Big Data Analytics Lab to conduct research that combines advanced analytics, machine learning, and human-centered system design. These efforts are documented through my Google Scholar profile and detailed on my Publications page. In addition to my external graduate-level collaborations, I work closely with undergraduate students through independent studies and faculty-mentored research projects. Many of these efforts are showcased on the Student Research page. Through these experiences, undergraduates gain early exposure to real-world research, build confidence, develop technical depth, and prepare for competitive careers or future graduate study. Research is one of the most powerful experiences a student can have. It builds creativity, resilience, problem-solving ability, and technical depth that extend far beyond standard coursework. Employers and graduate schools consistently seek students who have completed research because it demonstrates initiative, independence, and the ability to work on open-ended problems. Students who engage in research often receive stronger recommendation letters, present at conferences, publish with faculty mentors, and stand out in competitive job markets. For many students, research becomes the turning point that clarifies long-term goals and career direction. To complement publications and project descriptions, student and alumni perspectives provide a first-hand view of what research looks like in practice. In the video below, a former student reflects on their research journey, the challenges they faced, and how the experience shaped their academic and professional growth. These reflections highlight how research fosters confidence, independent thinking, and long-term academic clarity. These are outcomes that are difficult to achieve through coursework alone. Across projects and collaborations, my work can be viewed through five primary areas of human impact: The following visual provides a simplified overview of how my research focus is distributed across these five impact areas. These technologies form the foundation that enables research outcomes to scale and translate into real-world impact. My work is guided by a simple but deliberate goal: to use technology to reduce complexity and give people clear, reliable information. I believe data, automation, and intelligent systems should not overwhelm people or replace human judgment. Instead, they should support thoughtful decision-making, increase transparency, and empower individuals whether they are students, researchers, or members of a community. This philosophy shapes how I mentor students, design research projects, and evaluate the real-world impact of technology. Success, to me, is not measured only by technical sophistication, but by whether a system meaningfully improves understanding, trust, and long-term outcomes.Technology Designed for Human Good
Why Students Should Pursue Research
Student Voices: Research Experiences
How My Research Creates Impact
Impact Area
Focus
Examples of My Work
Health & Well-Being
Supporting better medical decisions and early detection
Diabetes impact analysis, workflow optimization
Community Trust & Understanding
Turning online opinions into meaningful insights
Sentiment analysis, interfaith studies
Climate & Life Planning
Helping families plan for safer futures
Climate-based housing models
Access to Knowledge
Making information easier and fairer to access
Smart library tools, recommendation systems
Automation & Reduced Workload
Self-improving and self-managing systems
Cloud automation, workflow scheduling
Visual Snapshot of My Research Portfolio
Technologies That Drive Research Impact
My Guiding Philosophy