Kushagra Thakur

Kushagra Thakur
Kushagra.jpeg Kushagra.jpeg Kushagra Thakur in 2025
Born	India
🏳️ Nationality	Indian
💼 Occupation	Industrial AI Researcher, Product Manager
Known for	Predictive Maintenance, Vibration Analytics, Asset Performance Management
🌐 Website	https://kushagrathakur.us

Kushagra Thakur is an Indian-born Industrial AI researcher, product manager, and Asset Performance Management (APM) specialist based in Atlanta, Georgia, United States. He is known for his work in vibration analytics, predictive maintenance, wireless condition monitoring, and the development of AI-driven reliability tools for heavy industries. Thakur is distinct from the Indian singer of the same name.

Early life and education

Kushagra Thakur grew up in India and completed his Bachelor of Engineering degree from the Manipal Institute of Technology.

He later pursued advanced executive programs in innovation and engineering management at Stanford University’s Center for Integrated Facility Engineering (CIFE).

Career

Thakur began his career as a research scientist working on artificial intelligence, neural networks, and advanced analytics. He later joined Honeywell, where he became a Senior Product Manager specializing in Industrial AI, Asset Performance Management (APM), vibration diagnostics, and predictive maintenance solutions.

At Honeywell, he has worked with global industrial organizations across oil and gas, mining, logistics, food distribution, and chemicals. His work includes:

• development of vibration-based diagnostic systems,
• integration of wireless sensors and IoT platforms,
• Remaining Useful Life (RUL) modelling,
• cloud-native APM product design,
• and AI-enabled decision support tools for reliability engineers.

He has collaborated with major industrial customers

Research and publications

Thakur has published articles and technical essays on Industrial AI, condition monitoring, sensor analytics, and reliability engineering. His writing focuses on practical applications of machine learning for industrial environments.

His articles appear on:

• MachineLearning.Today
• Medium (Industrial AI Essays)

He has delivered talks and webinars for ReliabilityWeb and industrial engineering communities.

Patents

Kushagra Thakur is the inventor or co-inventor of multiple United States patents in AI, automation, security analytics, and building control systems. These include:

• US 11,677,576 B2 – Systems and approaches for establishing relationships between building automation system components.
• US 9,661,010 B2 – Security log mining devices, methods, and systems.
• US 10,311,401 B2 – System for custom configuring personal protection equipment.
• US 10,379,512 B2 – Monitoring and control system using cloud services.
• US 2024/0273398 A1 – Apparatus and method for system configuration and monitoring.

His patents in security analytics and knowledge graphs have received over 160+ academic citations.

Areas of work

Thakur’s technical focus includes:

• vibration analysis and condition monitoring
• wireless sensors (LoRaWAN, BLE)
• spectral analysis and feature extraction
• industrial machine learning and anomaly detection
• cloud-native APM architectures
• causal reasoning and AI copilots for reliability engineers

Online presence

• Official website: https://kushagrathakur.us
• Google Scholar: https://scholar.google.com/citations?user=O0kvVlsAAAAJ
• ResearchGate: https://www.researchgate.net/profile/Kushagra-Thakur
• ORCID: https://orcid.org/0009-0004-1109-8485
• Crunchbase: https://www.crunchbase.com/person/kushagra-thakur-c765
• Medium: https://kushagrathakur-atl.medium.com
• GitHub: https://github.com/kushagrathakur
• LinkedIn: https://www.linkedin.com/in/kushagrathakur

Personal life

Thakur lives in Atlanta, Georgia, with his family. He is active in research communities and reliability engineering forums, and is known for promoting the idea that “Industrial AI can extend asset life and reduce waste globally.”

See also

• Predictive maintenance
• Industrial Internet of Things (IIoT)
• Vibration analysis
• Asset Performance Management