Zeeshan Ahmed (Fed)

A spectroscopist by training, Zeeshan Ahmed joined the Thermodynamic Metrology Group at NIST in 2012. His research activities focus on the development of novel, disruptive technologies that aim to replace legacy-based measurement platforms. Specifically, his current research is focused on the development of physics-constrained machine learning models for photonic and quantum sensors for biodosimetry, pressure, temperature and force sensing. This line of inquiry seeks to enable a cost-effective, integrated multi-functional sensor package with self-correcting measurement capabilities.

Dr. Ahmed has been awarded the Department of Commerce’s Bronze medal twice, in 2021 and 2016 for his innovation and leadership of cutting-edge research projects. In addition, his work with socio-economically disadvantaged students was recognized with the Equal Employment Opportunity Award in 2015. He currently serves as the Chairman of Task group on Emerging Technologies and is a member of the Strategic Planning Committee under Contact Thermometry Committee at the BIPM. Dr. Ahmed also holds an Affiliate Faculty position with George Mason University’s Mathematics department and the Quantum Science and Engineering Center (QSEC) where he collaborates with fellow members on the development of machine learning models to enable self-correcting sensors.

Highlights

• Hooked on Photonics? Math to the Rescue
• Detangling Light-based Thermometers with Combs
• Photonic Radiation Sensors Survive Huge Doses Undamaged

Research Projects

• Photonic Dosimetry
• Machine Learning Driven Self-correcting Autonomous Metrology Systems (SAMS)
• Photonic thermometry

• 2021 Bronze Medal for Superior Federal Service
• 2016 Bronze Medal for Superior Federal Service
• 2016 STAM Altmetrics Award
• 2015 Equal Employment Opportunity/Diversity Award
• 2009 National Research Council Postdoctoral Research Associateship