Experimental Condensed Matter Physics
Extensive expertise in the synthesis, characterization, and analysis of nanomaterials, thin films, polymers, and composite systems, with strong emphasis on structure-property relationships.
Advanced Materials Characterization
Hands-on proficiency with Optical Microscopy, UV–Vis, Fluorescence, FTIR, Raman spectroscopy, XRD, SEM, TEM, AFM, DSC, TGA, and Four-Point Probe (4PP) electrical measurements.
Computational Physics & Materials Modeling
Experienced in first-principles and atomistic simulations using Material Studio, CASTEP, VASP, and LAMMPS to investigate electronic, optical, thermal, and mechanical properties of materials.
Scientific Programming & Numerical Computing
Strong programming skills in Python, R (RStudio), Julia, Mathematica, Microcal OriginLab, LabVIEW, and Jupyter Notebook for simulation, modeling, automation, and data-driven research.
Artificial Intelligence & Machine Learning
Applied experience using machine learning techniques for pattern recognition, predictive modeling, and optimization in scientific datasets, spectroscopy, materials simulations, and experimental analysis workflows.
Data Science & Advanced Analytics
Expertise in scientific data collection, data cleaning, data structures, statistical analysis, visualization, and interpretation using Python, R, SQL (BigQuery), Tableau, PowerBI, SPSS, and spreadsheet-based analytics.
Research Data Management, Ethics & Security
Strong foundation in responsible data handling, data ethics, reproducibility, privacy, and secure research data management across experimental, computational, and collaborative environments.
Cybersecurity & Secure Computing
Working knowledge of cybersecurity principles including data security, network security, security management, digital forensics, cryptography, and secure cloud and research computing environments. Familiar with Google Cloud Security Command Center and Cisco security tools.
Laboratory Automation & Instrumentation
Proficient in LabVIEW for automated instrument control, experimental data acquisition, real-time processing, and laboratory workflow optimization.
Digital Platforms & Research Infrastructure
Experienced with Microsoft 365, Google Workspace, Git, GitHub, Kaggle, Slack, Zoom, Loom, Visual Studio, and collaborative research and teaching platforms.
Teaching, Mentorship & Curriculum Leadership
Over 18 years of experience teaching physics and mathematics at secondary, undergraduate, and graduate levels, supervising MSc and PhD research, mentoring early-career scientists, and leading curriculum design and accreditation initiatives.
Leadership, Collaboration & Communication
Proven leadership as Department Chair and Senior Lecturer with strengths in interdisciplinary collaboration, international partnerships, research supervision, academic administration, and effective scientific communication.