Department of CSE (AI & ML)
Mr. M. Sagar
B.Tech(CSE), M.Tech(SE), (Ph.D)
Assistant Professor
Head of the Department CSE (AI & ML)
Email: hodaiml@siiet.ac.in
premsagar@siiet.ac.in
M. Sagar is an accomplished Assistant Professor and Head of the Department in Computer Science and Engineering, specializing in Artificial Intelligence and Machine Learning at Sri Indu Institute of Engineering and Technology in Hyderabad, India. With 8 years of experience in teaching and training, he is currently pursuing a doctorate in Computer Science and Engineering at VIT University. His expertise spans Cyber-Physical systems, Cybersecurity, Machine Learning, and Deep Learning. significantly contributed to the academic and research community, publishing numerous research papers in esteemed journals and conferences indexed in Web of Science & SCOPUS. His research findings are featured in distinguished publications such as the Journal of Intelligent and Fuzzy Systems, the International Journal of Wireless and Microwave Technologies, International Journal of Computer Network and Information Security, IJRASET, IJSRCAM, and ICICICT.
| Patents | 02 |
| Memberships | IAENG, ISRD, UACEE, ICSES, IRED, CSTA. |
| Book Chapters | 01 |
| Faculty Development Programs | 16 |
| Conference | 01 |
| Projects Guided | 10 |
Hod’s Message
At Sri Indu Institute of Engineering and Technology, our commitment lies in fostering sustainability and ensuring quality across the curriculum, placements, research, and the holistic development of students. This specialized program is meticulously crafted to equip students to design intelligent machines using cutting-edge technologies such as artificial intelligence, machine learning, analytics, and visualization. By comprehending industry demands, students will gain the ability to grasp, articulate, and apply fundamental concepts in artificial intelligence and machine learning, observing how these principles are employed by industry giants such as Amazon, Facebook, IBM, Google, and others. The curriculum encompasses related fields, including natural language processing, text mining, robotics, reasoning, and problem-solving. Students will engage in hands-on experiences, implementing scalable solutions using the components, tools, and technologies of AI and ML.