Thesis researchAI / 01
Detecting defects in 3D prints
Using computer vision to spot defects during 3D printing.
View case study AI · DATA · AUTOMATION
Complex operations.
Clearer decisions.
I’m Nariman Razavi—a technology professional and researcher connecting facility operations with AI, data, automation, and robotics.
Ph.D. Candidate at LSUPython & enterprise systemsApplied research
THE CONNECTION
Data → insight →
working systems.
/ SELECTED WORK
Built for the way
work actually happens.
Reporting, automation, and research projects—with the problem, my contribution, and the resulting system made clear.
8 projects
Thesis research
Portfolio workRobotics / 02
Multi-destination navigation for connected robots
A tool that connects mapping, path planning, and mission planning so robots can navigate to multiple destinations.
View case study
Portfolio workAnalytics / 03
FAMIS analytics & reporting
Turning facilities records into clear operational and financial reports.
View case study
ResearchRobotics / 04
Robotic indoor environmental sensing
Connecting robot movement, sensor readings, and spatial context.
View case study
Portfolio workAutomation / 05
Python report automation
From raw Excel and CSV files to repeatable, formatted reports.
View case study
Portfolio workAutomation / 06
REST API & OData integration
Making enterprise data available for reporting and reuse.
View case study
Portfolio workAutomation / 07
Connected workflows with Boomi
Connecting email, authentication, APIs, and business systems.
View case studyConceptAI / 08
Facility data copilot
Exploring grounded answers across facilities records and knowledge.
View concept/ HOW I CAN HELP
From a real need
to a useful system.
Focused support for teams improving their data, workflows, and the environments they operate.
01
AI & Data Systems
Practical copilots, grounded search, and data products designed around operational decisions.
Discuss ai & data systems ↗02
Automation & Integration
Python, APIs, and connected workflows that make recurring enterprise processes repeatable.
Discuss automation & integration ↗03
Facility Technology
Reporting and data foundations for work orders, assets, spaces, and facilities operations.
Discuss facility technology ↗04
Robotics & Sensing
Mobile environmental data collection, sensor integration, and research workflows.
Discuss robotics & sensing ↗01 / UNDERSTAND
Map the workflow and define a useful result.
02 / PROTOTYPE
Test a focused solution with the people using it.
03 / INTEGRATE
Plan reliability, documentation, and handoff.
/ EXPLORE A DEMONSTRATION
One room.
Multiple perspectives.
Explore how a mobile sensor can reveal spatial variation. These fixed, synthetic readings demonstrate the interface; they are not live measurements or research results.
ILLUSTRATIVE ROOM / NOT TO SCALE
SAMPLE LOCATION 0121.7°C
Temperature at the selected point.
- Temperature
- 21.7 °C
- Humidity
- 45% RH
- Dataset
- Synthetic sample
/ RESEARCH IN PRACTICE
Bringing spatial context
to indoor sensing.
My facility technology work includes autonomous robotic sensing for indoor environmental monitoring. Connecting readings with movement and location creates a richer basis for studying indoor conditions.
The research workflow brings together route planning, sensor integration, timestamped records, and repeatable collection. Calibration, measurement accuracy, coverage, and repeatability remain essential evaluation questions.
Explore the sensing workflow ↗/ GOOGLE SCHOLAR
Research that connects
ideas to practice.
Publications spanning intelligent facilities, deep learning, additive manufacturing, and software systems.
View Google Scholar578Citations
4h-index
4i10-index
11Publications
Google Scholar snapshot · October 30, 2026. View current metrics ↗
Towards Intelligent Facility Management: Autonomous Robotic Sensing for Enhanced Indoor Environmental Quality
Computing in Civil Engineering 2025
Automated Quality and Process Control for Additive Manufacturing using Deep Convolutional Neural Networks
Recent Progress in Materials 4 (1)
Calf circumference: cutoff values from the NHANES 1999–2006
The American Journal of Clinical Nutrition 113 (6), 1679–1687
Smart additive manufacturing empowered by a closed-loop machine learning algorithm
SPIE Smart Structures + Nondestructive Evaluation
More publications 6 additional works
Deep Learning Enables Fully Automated Analysis of Microscopy Images
The Louisiana Academy of Science 93rd annual conference
Detecting Defects in 3D Printing Process using Machine Learning and Transfer Learning Approach
The Louisiana Academy of Science 93rd annual conference
Comparison of standards and technologies of business process management systems (BPMS) as a software platform for information systems
Research Institute for Information and Communication Technology
Implementation of Learning Management System of Virtual University based on OKI Standard Architecture
Proceedings of 11th International CSI Computer Conference, Tehran, Iran
A plan for Learning Management System of Virtual University Compatible with OKI Standard Architecture
10th National CSI Computer Conference, Tehran, Iran
/ ABOUT NARIMAN
Where physical operations
meet digital intelligence.
I’m a technology professional, researcher, and builder focused on making operational systems more useful. My work brings together facility management, data architecture, artificial intelligence, automation, and robotics.
My portfolio spans Python reporting, REST and OData integration, Boomi workflows, FAMIS analytics, and ROS 2 sensor collection. I’m a Ph.D. candidate at LSU, with publications in intelligent facilities, machine learning, and software systems.
Enterprise reporting & integrationMobile sensing researchApplied AI & automation
Résumés
Professional certificates & featured work Explore credentials and LinkedIn highlights ↗
/ CERTIFICATES
Learning that informs
the work.
Professional certificates and credentials listed on my LinkedIn profile.
OpenAIApply AI at Work Pathway Completion
Issued Sep 2026 · Expires Mar 2027
Credential ID: 194636855
View credentialOpenAIApplied AI Foundations
Issued Sep 2026 · Expires Mar 2027
Credential ID: 194636827
View credentialOpenAIAI Foundations
Issued Sep 2026 · Expires Mar 2027
Credential ID: 194635944
View credentialOpenAIAgents and Workflows
Issued Sep 2026 · Expires Mar 2027
Credential ID: 194633932
View credentialOpenAIApplied AI Foundations
Issued Aug 2026
Credential ID: w1tgxt8c0u
View credentialOpenAIAI Foundations
Issued Aug 2026
Credential ID: zb3pfezvpl
View credential
CourseraDeep Learning Specialization
Issued Sep 2019
Credential ID: HZL4CE7P9D38
View credentialCourseraConvolutional Neural Networks
Issued Sep 2019
Credential ID: SKFXUSRB2RGN
View credentialCourseraSequence Models
Issued Jan 2019
Credential ID: 3YSLJP4327SY
View credentialCourseraStructuring Machine Learning Projects
Issued Jan 2019
Credential ID: C6QS99995BSG
View credential/ FEATURED ON LINKEDIN
Ideas, research,
and work in focus.
Highlights from my LinkedIn Featured collection.
Connect on LinkedIn
/ INSIGHTS
Notes from the intersection
of ideas and practice.
Short reflections on AI, data, automation, facility technology, and robotics. One idea at a time.
AI & DataAutomationFacility technologyRobotics
AutomationAutomating a task changes the handoff to the next person.
IBM and Microsoft’s November 10 announcement of Imagine Enterprise focuses on connecting AI agents with existing business systems and industry processes. It brings me back to a question that spans my work with business-process automation and enterprise applications: what happens after the automated step finishes?
Read the post
AI & Facilities ManagementAn asset record tells you what equipment exists. Its relationships help explain what happens when it fails.
Neo4j’s November 9 announcement with IBM caught my attention because it focuses on connecting business context for enterprise AI. In facilities management, that context can be very concrete: equipment serves a space, a work order concerns that equipment, and a maintenance activity depends on another task being completed.
Read the post
RoboticsA robot can navigate correctly and still collect a measurement in the wrong place.
Today, NXP announced a unified robotics platform connecting sensing, real-time control, AI processing, and communications. That focus on integration connects with my research in autonomous robotic sensing for indoor environmental quality.
Read the post/ LET’S CONNECT
A better workflow
starts with a conversation.
For consulting, research collaboration, or a technology project, tell me what you’re trying to achieve.
Project payments & donationsn.razavi.a@gmail.com
/ START A PROJECT
What would you
like to improve?
Share the challenge, the systems involved, and what a useful outcome would look like. Questions and feedback are welcome too.
Plan your next project
Discuss a reporting challenge, an automation workflow, or a research collaboration.
Request a consultationShare your availability and time zone. I’ll reply to arrange a time.
Payments & donations.
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Teaching & mentoring
Programming, data science, AI, information systems, and robotics through applied problems.
Explore teaching & sample lesson