CSE (Artificial Intelligence & Machine Learning)
Department of Computer Science & Engineering • RVIT Autonomous Guntur
From autonomous vehicles and intelligent voice assistants to real-time medical diagnosis and generative neural models, Artificial Intelligence and Machine Learning represent the forefront of modern computing.
The B.Tech CSE (AI & ML) program at RVIT Autonomous trains students to design intelligent perception systems, train multi-layered deep learning architectures, engineer scalable LLMs, and deploy autonomous cognitive models across cloud and edge platforms.
Program Vision
"To produce ingenious and socially responsible AI engineers and researchers pioneering intelligent systems and data-driven solutions."
M1: Core Intelligence
Impart deep mathematical foundations, algorithmic principles, and deep neural modeling techniques.
M2: Practical Excellence
Provide cutting-edge GPU laboratory infrastructure and hands-on exposure to production AI pipelines.
M3: Ethical AI
Foster ethical awareness, responsible AI development, and societal problem-solving capabilities.
UN Sustainable Development Goals Mapping
Mapped with UN SDGs for AI in Healthcare (SDG 3), Smart Agricultural Pest Detection (SDG 2), Quality Education (SDG 4), and Sustainable Cities (SDG 11).
| S.No. | Faculty Name | Designation | Qualification | Exp. (Yrs) |
|---|---|---|---|---|
| 1 | T RUPAVANTH | Assistant Professor | M.Tech | 2 Yrs |
| 2 | DOSAPATI SIVAN NARAYANA | Assistant Professor | M.P.Ed | 2 Yrs |
| 3 | YETURI BHARATHI | Assistant Professor | MA Eng | 7 Yrs |
| 4 | PUTTA SUDHEER | Assistant Professor | M.Tech | 6 Yrs |
| 5 | TUNUGUNTLA VENKATA SIVA SATYANARAYANA | Assistant Professor | M.A | 8 Yrs |
| 6 | PRIYADHARSHINI AMBATI | Assistant Professor | M.Tech | 5 Yrs |
| 7 | MOVVA SRINIVAS | Assistant Professor | M.A | 4 Yrs |
| 8 | B ANJANA DEVI | Assistant Professor | M.Tech | 8 Yrs |
| 9 | PATHAN SHAJAHA BEGUM | Assistant Professor | M.Sc MATHS | 6 Yrs |
| 10 | MANI KUMAR SONGA | Assistant Professor | M.Tech | 7 Yrs |
| 11 | JAGADEESH ULAGARAJ | Assistant Professor | M.Tech | 2 Yrs |
| 12 | K EMANUEL BABU | Associate Professor | Ph.D | 2 Yrs |
| 13 | MD SHABANA SULTANA | Associate Professor | Ph.D (Chemistry) | 13 Yrs |
| 14 | MAMIDALA SIREESAH | Assistant Professor | M.Sc MATHS | 6 Yrs |
| 15 | RAVULAPALLI SARADA | Assistant Professor | MBA | 1 Yrs |
| 16 | G NAVYA KRANTHI | Assistant Professor | M.Tech | 6 Yrs |
| 17 | KOLLA GVSL PRIYANKA | Assistant Professor | M.Tech | 2 Yrs |
| 18 | SHAIK LAL JOHN BHASHA | Assistant Professor | M.Tech | 2 Yrs |
| 19 | ANUSHA BONDILI | Assistant Professor | M.Tech | 7 Yrs |
| 20 | VENKATA SUBBAIAH BELLAPU | Assistant Professor | MBA | 10 Yrs |
| 21 | THOKALA SRI ARPITHA | Assistant Professor | M.Tech | 3 Yrs |
| 22 | EEMANI VENKATA REDDY | Assistant Professor | M.Tech | 7 Yrs |
| 23 | R VAMSI KRISHNA | Assistant Professor | M.Tech | 14 Yrs |
| 24 | CHEKURI MAHESH SRINIVAS | Assistant Professor | M.Tech | 6 Yrs |
| 25 | B HANUMAJAIAH | Assistant Professor | MBA, Ph.D | 12 Yrs |
| 26 | AVUTHU PRUDHVI REDDY | Assistant Professor | B.Tech | 1 Yrs |
| 27 | MRS K NAGABALASULOCHANARANI | Assistant Professor | M.Tech | 5 Yrs |
| 28 | SHAIK HEERA | Assistant Professor | M.Tech | 5 Yrs |
GPU Deep Learning Lab
- Dedicated NVIDIA RTX GPU workstations for model training
- Pre-installed PyTorch, TensorFlow, Keras, and CUDA acceleration
- High-speed gigabit fiber backbone for rapid dataset streaming
Cognitive Robotics & Vision Hub
- Intel RealSense Depth cameras, OpenCV computer vision rigs
- ROS2 simulation environments for autonomous navigation
- Edge AI development kits (NVIDIA Jetson Nano, Raspberry Pi 5)
Architect systems that exhibit intelligent reasoning, autonomous learning, decision-making, and contextual adaptation.
Designing and training CNNs, RNNs, Transformers, and Generative Adversarial Networks for vision and language intelligence.
Extracting meaningful mathematical and statistical patterns from high-velocity enterprise Big Data streams.
Developing real-time image processing, optical recognition, sentiment classification, and conversational LLM applications.
Core Required Courses
- Programming for Problem Solving (C / Python)
- Object Oriented Design & Java Programming
- Data Structures & Advanced Algorithm Analysis
- Discrete Mathematical Structures & Statistics
- Computer Organization & Operating Systems
- Theory of Computation & Compiler Design
- Artificial Intelligence & Search Algorithms
- Database Management Systems & Data Warehousing
- Computer Networks & Distributed Systems
- Full Stack Web Technologies
Focused & Specialized Electives
- Neural Networks & Deep Learning Architectures
- Natural Language Processing (NLP) & LLMs
- Computer Vision & Pattern Recognition
- Speech & Audio Signal Processing
- Augmented Reality (AR) & Virtual Reality (VR)
- Intelligent Autonomous Agents & Robotics
- Cyber-Physical Systems & IoT Intelligence
- Scalable Systems for Big Data Analytics
- Information Retrieval & Recommendation Engines