Dr. Sheeba
Adjunct Professor • Data & Business Analytics Educator • Researcher in IoT Security & Cybersecurity
Academic Background
I hold a Ph.D. in Computer Science with research in lightweight security algorithms for IoT systems. My academic journey includes a Master’s degree in Computer Technology with distinction, supported by a strong foundation across core computer science disciplines such as Data Structures, Operating Systems, Database Systems, and Computer Networks.
My research contributions include publications in Scopus-indexed journals, focusing on IoT security, cryptography, and blockchain technologies.
Teaching & Expertise
I teach both undergraduate and graduate courses including Python for Data Science, UI/UX Design, Human-Computer Interaction, and Business Analytics. My teaching integrates tools like Python, Power BI, Tableau, and Snowflake to ensure students gain practical, industry-relevant skills.
I emphasize hands-on learning, critical thinking, and project-based approaches to enhance student engagement and career readiness.
Professional Experience
My experience spans academia and industry, including roles as Assistant Professor in India and Adjunct Professor in the United States. In parallel, I work as a Data & Business Analyst instructor, delivering training in data analytics, business intelligence, and visualization using modern tools and real-world datasets.
Research & Contributions
My research focuses on securing low-powered IoT environments through efficient cryptographic techniques and lightweight algorithms. I actively contribute to academic research through publications, conferences, and collaborative work in cybersecurity and distributed systems.
Teaching Philosophy
I believe in bridging theory with practice. My goal is to create an engaging learning environment where students not only understand concepts but also apply them effectively. I mentor students in academic projects, research, and career development, preparing them for both higher education and industry roles.