IEEE PES GM 2023
First-author work on outage analytics
This matters because it bridged technical publication with a deployed operational use case and a 78% improvement in outage-location accuracy.
Research & Recognition
Research and recognition
The work has been recognized through publications, awards, technical visibility, and teaching. That recognition matters because it came from systems that were already doing real work.
Publications
CIGRE Paris 2024
AI and synthetic data for asset inspection
This matters because it turned a hard data bottleneck into a field-ready inspection system with 92% defect-detection accuracy.
Industry sessions & programs
Utility Analytics Week 2023
Spatiotemporal outage analytics in utility operations
This matters because it put the outage analytics work in front of an industry audience focused on operational decision-making, not just model novelty.
IEEE PES GM 2024 Program
Public program listing tied to AI-driven asset inspection work
This matters because the inspection work held up both as deployed operations and as part of a broader technical program audience.
Awards
Awards tied to operating impact
AEIC Achievement Award (2023)
Recognition for outage analytics and operational improvement, validated by a utility-industry body focused on practical impact.
AEIC Achievement Award (2024)
Recognition for AI-based asset inspection and synthetic data work tied to better inspection performance and field safety.
Charles Steinmetz Top Innovator Award
Recognition for innovation in grid operations and AI-driven inspection, tied to work that changed operating practice rather than just producing a promising experiment.
Technical visibility
Public references around the work
These help outside readers get closer to the work. They are useful because they point back to real systems and public proof, not because press matters more than deployment.
Teaching
Knowledge sharing
I have also contributed through teaching, mentoring, and technical sessions. That matters to me because strong work should be useful beyond the team that built it.
- Advanced NLP teaching sessions
- Mentoring 10+ data scientists across enterprise teams
- Public sharing tied to practical deployment, not abstract research alone