Aravind Mohan

Student Research    Google Scholar    Publications

Technology Designed for Human Good

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.

Why Students Should Pursue Research

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.

Student Voices: Research Experiences

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.

How My Research Creates Impact

Across projects and collaborations, my work can be viewed through five primary areas of human 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

The following visual provides a simplified overview of how my research focus is distributed across these five impact areas.

Health & Well-Being
 
Community Trust & Understanding
 
Climate & Life Planning
 
Access to Knowledge
 
Automation & Reduced Workload
 

Technologies That Drive Research Impact

These technologies form the foundation that enables research outcomes to scale and translate into real-world impact.

 
Legend:
  • Machine Learning & Artificial Intelligence
  • Automation & Cloud
  • Data Visualization
  • Natural Language Processing
  • Wearables & Sensors

My Guiding Philosophy

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.