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Zeeshan Ahmed (Fed)
Dr. Zeeshan Ahmed is a multi-disciplinary Scientist and Research Project Leader in the Fundamental Thermodynamic Metrology Group at NIST. He drives innovation in novel measurement systems by combining expertise in spectroscopy with machine learning and has architected solutions that are transforming traditional measurement platforms into self-correcting, intelligent systems.
His current research focuses on developing physics-informed machine learning models for next-generation sensing technologies. Leading an externally funded program in ML-enabled metrology, his team has achieved breakthrough improvements in measurement accuracy for NV diamond sensors. His work spans multiple sensing modalities including biodosimetry, pressure, temperature, and force measurement, with the goal of creating integrated, multi-functional sensor packages with autonomous calibration capabilities.
He holds an Affiliate Faculty position with George Mason University's Mathematics Department and the Quantum Science and Engineering Center (QSEC). He collaborates with faculty members and graduate students on developing ML models and algorithms for self-correcting sensors. He has previously served as the Chairman of the Task Group on Emerging Technologies at the BIPM and member of the Strategic Planning Committee under the Contact Thermometry Committee.
His innovative contributions have been recognized with two Department of Commerce Bronze Medals (2021, 2016) for technical leadership and research excellence. With 60+ peer-reviewed publications and 9 patents, his work bridges fundamental research and practical applications, advancing both measurement science and machine learning.
Highlights
- Hooked on Photonics? Math to the Rescue
- Detangling Light-based Thermometers with Combs
- Photonic Radiation Sensors Survive Huge Doses Undamaged
Research Projects
Awards
- 2021 Bronze Medal for Superior Federal Service
- 2016 Bronze Medal for Superior Federal Service
- 2016 STAM Altmetrics Award
