Artificial Intelligence and Machine Learning: AI is defined as the development of computer systems capable of performing tasks that typically require human intelligence. In other words, AI enables computers to think and behave more like people to solve problems. Whereas machine learning is a method of analyzing data that helps computer programs optimize their functionality as they learn from vast quantities of data. Machine learning is a specific form of AI that enables computers to learn and grow as they’re introduced to data-based scenarios.
If you’re looking for a solid, secure future, a career as a machine learning engineer is the right one. In fact, it was just listed as the second-most in-demand AI profession, with the pandemic bringing a greater focus on the fields of artificial intelligence and machine learning. Over the past four years, employment in AI and machine learning has increased by approximately 75%, and this growth is expected to continue. Pursuing a machine learning job is a solid choice for a high-paying career that will be in demand for decades. Industries that are already using AI and machine learning predominantly include healthcare, education, marketing, retail and ecommerce, and financial services. A career in machine learning is for you if you want to work on projects that change the world while earning a high salary and benefits.
Vision:
To produce high potential Artificial Intelligence and Machine Learning Professionals with Global Standards who can handle the challenges of the society and industry with their innovations and services.
Mission:
- To impart high quality education with effective teaching and learning process.
- To provide a dynamic, innovative, and flexible curriculum which equips the students with AI problem-driven skills to strengthen their career, pursue higher studies and to enable them to be industry ready.
- To foster inquisitive-driven research among students and staff to reinforce domain knowledge in addressing contemporary societal issues.
- To inculcate professional ethics and human values in handling the engineering challenges.
- To shape the department into a center of academic and research excellence
PSO 1: Intelligent Solutions Development Design and develop AI and Machine Learning–based intelligent systems to address real-world challenges in domains such as agriculture, healthcare, education, and smart governance, aligning with regional and national development needs.
PSO 2: Data Engineering and Analytical Skills Apply data acquisition, preprocessing, statistical analysis, big-data handling, and visualization techniques to derive meaningful insights and build robust data-driven models.
PSO 3: Proficiency in Modern AI Tools and Technologies Use contemporary AI/ML tools, programming languages, frameworks, and cloud platforms (such as Python, TensorFlow, PyTorch, Scikit-learn, and AWS/Azure/Google Cloud) to develop efficient, scalable, and deployable AI solutions.
PSO 4: Ethical, Responsible, and Sustainable AI Practice Demonstrate awareness of ethical issues, fairness, accountability, transparency, and societal impact while developing AI systems, ensuring responsible innovation and adherence to legal and professional standards.
| S.NO. | NAME OF THE STAFF | DESIGNATION/POSITION | QUALIFICATION |
| 1 | DR. KUMARI.M | PROFESSOR | M.Tech,Ph.D |
| 2 | MOHAMMAD FERNAAZ | ASSISTANT PROFESSOR | M.Tech |
| 3 | JETTY SIVAPARVATHI | ASSISTANT PROFESSOR | M.Tech |
| 4 | M. KISHORE BABU | ASSISTANT PROFESSOR | M.Tech |
- 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- 2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- 3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- 4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- 5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
- 6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- 7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- 9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- 10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- 11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- 12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.