Enthusiastic and results-driven interdisciplinary Physicist, AI Scientist, Data Scientist, and Cybersecurity AI Analyst with over 18 years of experience in research, teaching, and innovation. Possesses deep expertise in condensed matter physics, materials science, and experimental and computational physics, with hands-on proficiency in advanced characterization techniques (XRD, Raman, FTIR, UV-Vis, SEM, AFM, TEM, DSC, TGA) and simulation tools (VASP, CASTEP, Material Studio). Integrates physics-based modeling with Artificial Intelligence, machine learning, and advanced data analytics to develop secure, scalable, and data-driven solutions for complex scientific and real-world challenges. Skilled in statistical modeling, data mining, big data analytics, and data visualization using Python, R, SQL, Tableau, and Power BI to extract actionable insights and support high-impact decision-making.
Adept at designing intelligent systems that combine multimodal data-imaging, acoustic, and structured datasets, while embedding robust cybersecurity principles including risk management (NIST, ISO frameworks), network security, SIEM (Splunk), threat detection, vulnerability assessment, and incident response. Proficient in AI domains such as deep learning, neural networks, computer vision, and natural language processing, enabling the development of innovative, resilient, and secure technologies. A passionate educator and mentor, committed to integrating AI, data science, and cybersecurity into physics education, fostering critical thinking, interdisciplinary problem-solving, and innovation. Dedicated to advancing scientific knowledge and empowering the next generation to operate at the intersection of physics, intelligent systems, and real-world impact.