CV
Education
Ph.D. in Physics, University of Georgia, Athens, GA, USA
Expected 2026M.S. in Solid State Materials, Indian Institute of Technology Delhi, New Delhi, India
2021
Research Experience
- Graduate Research Assistant, University of Georgia
- Research focused on surface-enhanced Raman spectroscopy, silver nanorod substrates, nanofabrication, machine learning-based spectral analysis, and biosensing applications.
- Developed SERS-based approaches for molecular detection, bacterial/viral classification, and quantitative spectral modeling.
- Performed Raman spectroscopy, substrate fabrication, spectral preprocessing, statistical analysis, and machine learning model development.
- Researcher in Materials Science and Nanotechnology
- Worked on nanostructured materials, optical characterization, and spectroscopy-based sensing platforms.
- Gained experience in experimental design, data analysis, manuscript preparation, and scientific communication.
Research Interests
- Surface-enhanced Raman spectroscopy
- Silver nanorod substrates
- Nanofabrication and thin-film deposition
- Machine learning for spectral analysis
- Biosensing and pathogen detection
- Analytical chemistry and materials science
- Photoelectrochemical water splitting
Skills
- Spectroscopy: Raman spectroscopy, SERS, UV-Vis reflectance/absorbance analysis
- Nanofabrication: Oblique angle deposition, electron-beam evaporation, thin-film deposition, Ag nanorod substrate fabrication
- Data Analysis: Spectral preprocessing, baseline correction, normalization, PCA, clustering, regression, classification
- Machine Learning: SVM, SVR, model validation, cross-validation, blind prediction analysis
- Software: MATLAB, Python, OriginPro, GitHub, Microsoft Office
- Scientific Writing: Manuscript preparation, figure preparation, response to reviewers, research presentation
Publications
Talks
Teaching
Service and Leadership
- Mentored and assisted students in laboratory experiments, spectroscopy measurements, and data analysis.
- Contributed to collaborative research projects involving materials science, analytical chemistry, biosensing, and machine learning.
- Presented research progress in group meetings, conferences, and academic discussions.
