Head of Department
CSE (Artificial Intelligence & Machine Learning)
Mr. E. Amarnatha Reddy
Head of the Department – CSE (AI & ML) | CSE (Data Science) | CSE (AI & Data Science)
Brilliant Institute of Engineering and Technology, Hyderabad
About Mr. E. Amarnatha Reddy
Mr. E. Amarnatha Reddy is an experienced academician with over 13+ years of teaching experience in Computer Science and Engineering. He currently serves as the Head of the Department for CSE Specialized Programs at Brilliant Institute of Engineering and Technology (BRIL), Hyderabad, overseeing the CSE (AI & ML), CSE (Data Science), and CSE (AI & Data Science) programmes.
He holds an M.Tech in Computer Science and Engineering from JNTUH and a B.Tech in CSE from JNTU. He is known for his strong academic leadership, active involvement in accreditation processes, and focus on emerging technologies such as Artificial Intelligence, Data Science, and IoT.
Mr. Amarnatha Reddy has been associated with BRIL since 2018 and has previously served as Assistant Professor at MLR Institute of Technology (2015–2018) and Brilliant Grammar School Educational Society's Group of Institutions (2013–2015). He has published research papers in reputed journals including IEEE and IJET, with key contributions in Cloud Security, IoT-based Systems, and Data Analytics.
He has conducted technical training for major MNC recruitment drives including TCS NQT, IBM, Capgemini, Cognizant (CTS), and L&T Infotech — equipping students with programming, problem-solving, and industry readiness skills.
Areas of Expertise
Artificial Intelligence & Machine Learning
AI algorithms, ML model development, and intelligent system design for real-world applications across industries.
Data Science & Big Data Analytics
Data processing, big data frameworks, predictive analytics, and data-driven decision-making for enterprise environments.
Internet of Things (IoT)
IoT-based system design, sensor integration, and connected device architectures for smart applications.
Programming & Technical Training
Python, Data Structures, Web Technologies, and industry-focused technical training for campus recruitment drives.
Teaching Philosophy & Contributions
Pedagogy & Approach
- Outcome-Based Education (OBE) implementation and curriculum delivery
- Technical training for campus recruitment — TCS NQT, IBM, Capgemini, CTS, L&T Infotech
- Student mentoring in AI, Data Science, and programming subjects
- Active involvement in NBA and NAAC accreditation processes
- Focus on emerging technologies: AI, ML, Data Science, and IoT
Academic Administration
- Head of Department — CSE (AI & ML), CSE (Data Science), CSE (AI & Data Science)
- Academic Planning & Curriculum Delivery
- Faculty Coordination & Student Mentoring
- Placement Training & Skill Development
- Accreditation & Quality Assurance Activities (NBA, NAAC)
Vision
To build a technology-driven academic environment that equips students with strong foundations in Artificial Intelligence, Data Science, and emerging computing paradigms — producing graduates who are analytically sharp, industry-ready, and capable of driving data-driven innovation in a rapidly evolving global landscape.