Head of Department
CSE (Data Science)
Mrs. Radhika Thirunahari
Head of the Department – CSE (Data Science)
Brilliant Institute of Engineering and Technology, Hyderabad
About Mrs. Radhika Thirunahari
Mrs. Radhika Thirunahari is an accomplished academician and technology professional with over 12 years of teaching experience in reputed engineering institutions and 2 years of industry experience as a .NET Developer. She is known for her strong academic leadership, dedication to student success, and commitment to fostering innovation in the field of Computer Science and Data Science.
She is currently serving as an Assistant Professor at Brilliant Institute of Engineering & Technology, Hyderabad, and has been associated with the institution since 2018. She has also been ratified by Jawaharlal Nehru Technological University Hyderabad (JNTUH) as a faculty member, reflecting her academic competence and professional excellence.
Mrs. Radhika completed her M.Tech in Computer Science and Engineering from Anurag Engineering College, Hyderabad, and her B.Tech in Computer Science and Engineering from Mother Theresa College of Engineering & Technology. Her academic background, combined with extensive teaching and technical expertise, enables her to guide students effectively in emerging technologies and research-oriented learning.
She has published several research papers in reputed journals covering areas such as Machine Learning, Cyber Security, Wireless Sensor Networks, Cryptocurrency Prediction, Sentiment Analysis, and Data Analytics. She is also the author of the book "Mastering Object-Oriented Python", reflecting her passion for technical education and knowledge sharing.
Mrs. Radhika has actively participated in numerous Faculty Development Programs, workshops, and national-level seminars on Artificial Intelligence, Big Data Analytics, Supercomputing, Data Science Engineering, and Enterprise Frameworks, continuously upgrading her knowledge in emerging technologies.
Areas of Expertise
Data Science & Machine Learning
Data analytics, ML model development, deep learning frameworks, and data-driven decision-making for enterprise and research applications.
Cloud Computing & Software Engineering
Cloud infrastructure, software engineering methodologies, software testing, and compiler design for scalable system development.
Computer Networks & Network Security
Network architecture, wireless sensor networks, network security, and web technologies for secure and connected environments.
Java, .NET & Web Technologies
Java programming, .NET technologies, databases, web technologies, and software design tools for practical and industry-ready development.
Teaching Philosophy & Contributions
Pedagogy & Approach
- Cloud Computing, Software Engineering, AI & Machine Learning
- Computer Networks, Web Technologies, Compiler Design
- Software Testing Methodologies, Java Programming
- Advanced Operating Systems, Formal Languages & Automata Theory
- Student Project Guidance for UG and PG Programmes
Academic Administration
- Head of Department — CSE (Data Science)
- Coordination of Academic and Technical Events
- AICTE, NAAC, NBA & JNTU Inspection Activities
- Women Empowerment Cell Coordination
- Academic Administration & Departmental Activities
Vision
To create an innovative learning environment that encourages research, industry collaboration, and excellence in Data Science and emerging technologies — nurturing future-ready professionals with strong analytical, technical, and ethical foundations.