Head of Department
CSE (Artificial Intelligence & Machine Learning)
Mr. Chinnam Shiva Shankar
Head of the Department – CSE (Artificial Intelligence & Machine Learning)
Brilliant Institute of Engineering and Technology, Hyderabad
About Mr. Chinnam Shiva Shankar
Mr. Chinnam Shiva Shankar is a faculty member in Computer Science and Engineering with around 8 years of teaching experience. He currently heads the CSE (Artificial Intelligence & Machine Learning) Department at Brilliant Institute of Engineering and Technology.
He holds B.Tech and M.Tech qualifications and has experience in teaching core computer science subjects and programming concepts. His technical areas include C, C++, Java, DBMS and Data Structures.
In his role as Head of the Department, he is involved in academic planning, faculty coordination and supporting students in developing their technical and programming skills. His teaching interests are mainly focused on programming, database concepts and fundamental areas of computer science.
Areas of Expertise
Artificial Intelligence & Machine Learning
Expertise in AI algorithms, ML model development, and intelligent system design for innovative applications.
Database Management Systems
Proficient in DBMS concepts, SQL, database design, and optimization for enterprise applications.
Data Structures & Algorithms
Strong foundation in data structures, algorithms, and problem-solving techniques for efficient programming.
Programming Languages
Expertise in C, C++, Java programming languages with focus on object-oriented programming and software development.
Teaching Philosophy & Contributions
Pedagogy & Approach
- Core computer science subjects: C, C++, Java programming
- Database Management Systems (DBMS) and SQL
- Data Structures and Algorithms
- Student mentoring and academic guidance
- Outcome-Based Education (OBE) implementation
Academic Administration
- Head of Department — CSE (Artificial Intelligence & Machine Learning)
- Academic Planning & Curriculum Delivery
- Faculty Coordination & Student Mentoring
- Department Administration & Management
- Quality Assurance & Academic Excellence
Vision
To build a technology-driven academic environment that equips students with strong foundations in Computer Science, Artificial Intelligence and Machine Learning — producing graduates who are technically competent, industry-ready, and capable of driving innovation in the field of computer science and engineering.