01 · COMPUTING
Intelligent Computing
Machine learning, deep learning, and generative AI for reliable analysis, prediction, and decision support.
Reliable AI · Security · Sensing
Reliable AI for next-generation applications.
RANA Lab develops and evaluates intelligent computing systems for consequential, real-world settings. We bring AI, algorithm design, and careful measurement to challenges in cybersecurity, health, sustainable agriculture, and computational biology.
From data to dependable decisions
Machine learning · Reliable algorithms · Applied AISchool of Computing · Georgia Southern University
Research areas
Intelligent computing across real-world domains.
We combine AI, algorithms, and systems research to help make decisions from complex, incomplete, or uncertain data.
02 · SECURITY
Cybersecurity & Trustworthy AI
AI-driven security, privacy protection, adversarial testing, and trustworthy systems built to withstand misuse.
03 · HEALTH
Smart Health
AI for healthcare, biomedical informatics, multimodal sensing, and non-invasive measurement.
04 · AGRICULTURE
Sustainable Agriculture
Smart farming, precision agriculture, and environmental intelligence from connected field data.
05 · BIOLOGY
Computational Biology
Bioinformatics, genomics, and biological data science for insight into complex life-science data.
06 · METHODS
Algorithm Design
Efficient, robust algorithms for learning, optimization, data integration, and real-world decisions.
Shared foundationReliable measurement · Privacy-aware design · Reproducible evaluation · Human-centered decisions
Research programs
Questions we are working to answer.
We connect computational methods to measured signals and careful evaluation.
01 · HEALTH
Non-invasive glucose sensing
A Raman–NIR digital-twin effort studies spectral features, calibration, and uncertainty for future non-invasive glucose monitoring.
02 · MEDIA INTEGRITY
Deepfake forensics & authenticity
We examine manipulated media, cross-generator detection, and multimodal evidence under realistic sharing conditions.
03 · RESILIENT SYSTEMS
Security for connected systems
Our work explores adversarial testing, privacy, and resilient AI in cyber-physical and sensor-rich environments.
How we work
Make the evidence—and its limits—clear.
A result matters when its assumptions, data, uncertainty, and failure cases are visible. We pair technical development with disciplined evaluation.
Measure
Ground models in meaningful signals and well-defined targets.
Challenge
Test across sources, operating conditions, and potential attacks.
Explain
Make assumptions, uncertainty, and failure modes understandable.
Research showcase
Talks, posters & seminars.
Recent conference presentations and research posters from the lab.
A growing record of research shared with academic and community audiences.
Research talk + poster
MCG–GS Community Engaged Research Conference
Toward Reliable Non-Invasive Glucose Monitoring: A COMSOL-Based Raman–BRS Digital Twin
A research talk and poster on spectral modeling, glucose calibration, and measurement uncertainty for a non-invasive sensing digital twin.
Accepted research poster
COMSOL Conference Boston 2026
Toward Reliable Non-Invasive Glucose Monitoring: A COMSOL-Based Raman–BRS Digital Twin
Poster presentation featuring a physics-based digital twin for Raman–NIR spectral modeling and glucose calibration.
No seminar entries yet. New presentations will appear here.
People
A team learning through research.
Our student researchers work across AI, cybersecurity, health, and data-driven systems.
Md Shohel Rana, Ph.D.
Assistant Professor in the School of Computing at Georgia Southern University. His research develops reliable AI and computational methods for security, health, biology, and sustainable systems.
Email Dr. RanaStudent researchers
A four-person student team across three degree levels.
Student profiles and project details can be added as the team grows.
Connect with us
Have a question worth investigating?
Students interested in research and colleagues exploring collaboration are welcome to get in touch.