COMPUTER SCIENCE AND ENGINEERING (AI&ML)
About Department
The Department of Computer Science and Engineering (AI&ML) was established in the year 2020 with an intake of 60 in Bachelor of Technology Programme. The intake is gradually increased to 132 by the year 2021.
GIST offers a four-year under-graduate B.Tech course in Artificial Intelligence and Machine Learning which aims to develop a strong foundation by using the principles and technologies that consist of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and machine learning. This course is best suited for students seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies which help to stand in the crowd and grow careers in the upcoming technological era.
The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.
VISION
To become a learning-resource center producing Computer Engineers suitable for career roles in Artificial Intelligence and Machine Learning domains.
MISSION
DM1. Imparting quality education through industry relevant curriculum and effective teaching-learning methodologies.
DM2. Organizing Professional skill development programmes to cater to the societal needs through Institute-Industry interface.
DM3. Incorporating life skill development programmes aimed at promoting social responsibility on ethical foundations.
DM4. Fostering employability skills by incorporating cutting-edge technologies in the curriculum.
PROGRAM OUTCOMES (POs)
Engineering Graduates will be able to:
PO1. Engineering Knowledge : Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2. 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.
PO3. 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.
PO4. 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.
PO5. 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.
PO6. 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.
PO7. 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.
PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10. 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.
PO11. 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.
PO12. 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.
PROGRAMME SPECIFIC OUTCOMES (PSOs)
PSO1: Professional Skills: Proficiency in multiple skill sets which enable the learners to excel in divergent platforms in industries
PSO2: Successful Career and Entrepreneurship: Apply the Artificial Intelligence & Machine Learning concepts in wide ranging fields of engineering culminating in successful careers and entrepreneurs with a special focus on societal problem solving.
PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)
PEO1: Carving successful careers in industry, academia with expertise in Artificial Intelligence & Machine Learning (AI & ML)
PEO2: Excelling as socially committed Artificial Intelligence & Machine Learning (AI & ML) Engineers.
PEO3: Engaged in the successful execution of multi-disciplinary projects for the welfare and progress of humankind.
PEO4: Pursuing higher studies, research activities and initiatives of entrepreneurship.
|
S.No |
Name of the faculty | Designation |
Profile |
| 1 | Dr P. BABU | Prof. in AIML | VIEW |
| 2 | Dr. NAGENDRA KUMAR | Prof. in AIML & H.O.D (AIML) | VIEW |
| 3 | N SIVANAGAMANI | Assoc. Prof. in AIML | VIEW |
| 4 | K. CHIRANJEEVI | Asst Prof. in AIML | VIEW |
| 5 | BANISETTY POOJITHA | Asst. Prof. in AIML | VIEW |
| 6 | KONDURU BALAKRISHNA | Asst. Prof. in AIML | VIEW |
| 7 | D RAMESH | Asst. Prof. in AIML | VIEW |
| 8 | A.PAVANI | Asst. Prof. in AIML | VIEW |
| 9 | TEESA DAVIS | Asst. Prof. in AIML | VIEW |
| 10 | P. NARESH | Asst. Prof. in AIML | VIEW |
| 11 | SANTHI POLU | Asst. Prof. in AIML | VIEW |
| 12 | IMMADISETTY SUSHMA | Asst. Prof. in AIML | VIEW |
| 13 | GANTA BALAKISHORE | Asst. Prof. in AIML | VIEW |
| 14 | EDURU RAJESH | Asst. Prof. in AIML | VIEW |
| 15 | SANDALA SUNEEL | Asst. Prof. in AIML | VIEW |
| 16 | GANTA PRUDVEERAJ | Asst. Prof. in AIML | VIEW |
| 17 | ARAVA AUSHA MARY | Asst. Prof. in AIML | VIEW |
| 18 | AMARI LENEENA | Asst. Prof. in AIML | VIEW |
| 19 | AMARI LOKESH | Asst. Prof. in AIML | VIEW |
Research laboratories
Industrial Visits
Industrial Visits – view
Contact
Dr. P. Nagendra Kumar Ph.D.
Professor & Head
Department of Computer Science and Engineering (AI&ML)
Geethanjali Institute of Science and Technology
Contact: +91-9959693954, 7075353425
Email: aimlhod@gist.edu.in
