I design and develop tools and methods for material characterization and nondestructive evaluation that integrate physics, electronics, electrochemistry, and data-driven approaches. My research focuses on building simple, reliable, and scalable sensing systems that contribute to both fundamental understanding and practical applications.
Explore more in my Publications, Projects, and Patents.
Contact: dtamhane [at] outlook [dot] com
LinkedIn: linkedin.com/in/durgeshtamhane
What I’m Working On
- Applying electrochemical methods (LPR, Tafel, CPP, EIS) for evaluating coatings, admixtures, and inhibitors.
- Developing lab-scale and field-deployable devices for real-time corrosion performance testing.
- Building AI-driven corrosion prediction models trained on electrochemical and adhesion datasets.
- Expanding technology and IP through sensor innovations.
- Sharing science through hands-on guides and experiments (see Posts).
Research Interests
- Non-destructive evaluation of corrosion (EMI, PEC, magnetic sensing).
- Sacrificial anode health monitoring and cathodic protection.
- Electrochemical characterization of inhibitors, admixtures, and coatings.
- MEMS and piezoelectric transducers for sensing applications.
- Machine learning for corrosion datasets.
Education
- PhD in Electrical Engineering, IIT Bombay
- Masters in Physics, University of Mumbai
Highlights
- Publications in IEEE Sensors Journal, Smart Materials and Structures, Construction & Building Materials, IEEE Access.
- Patents granted in EMI-based monitoring and PEC-based corrosion detection.
- Projects combining FEM, EMI, PEC, and AI approaches.
- Recognition in innovation contests and teaching excellence awards.
Selected Work
- PEC vs EMI: Comparative analysis of sacrificial anode monitoring.
- Graphical EMI methods: Calibration-free thickness estimation.
- PEC + PCA: Robust rebar corrosion detection at large lift-offs.
- AI for corrosion prediction: Supervised models for performance forecasting.
- Science outreach: Guides and experiments for students.
Skills & Tools
Electrochemistry: EIS, LPR, Tafel, CPP
Characterization: SEM, XRD, FTIR, UV-Vis-NIR, profilometry, ellipsometry
Instrumentation: Impedance analyzer, potentiostat, probe stations
Software: COMSOL, SolidWorks, LabVIEW
Programming: Python, MATLAB, C
Microfabrication: Photolithography, thin-film deposition, plasma processing
Background
Interdisciplinary training across physics, engineering, and materials science, with research experience spanning nanofluids, nuclear structure physics, biosensing, and corrosion monitoring. This foundation drives the development of next-generation non-destructive sensing systems.