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Computer Science and Engineering (AI)

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Computer Science and Engineering (AI)

Computer Science and Engineering (AI)

The Department of Computer Science and Engineering (Artificial Intelligence) is a cutting-edge academic division of the College of Engineering, established to meet the growing demand for AI professionals in industry and research. Launched in 2020 with an intake of 90 seats, the department focuses on delivering a strong foundation in core computer science along with specialized knowledge in Artificial Intelligence, Machine Learning, and Data Science. With a team of experienced faculty and modern infrastructure, the department offers a full-time B.Tech program in Computer Science and Engineering (AI), aiming to produce future-ready professionals capable of solving real-world problems using intelligent systems.


Faculty

SL.NO. Name of the Faculty Designation Date of Joining Qualification Nature of Association Department.
01 Mr.PINAKI BHUSAN NAYAK HOD,Professor 31-07-2023 Ph.D. Regular Master In Computer Application
02 Mr.BHABANI SANKAR PANDA Assistant Professor 12-08-2022 MCA,M.Tech Regular Master In Computer Application
04 Mr.DHEERAJ PADHY Assistant Professor 05-03-2024 MCA,M.Tech Regular Master In Computer Application
04 Ms.SWATISHREE NAYAK Assistant Professor 24-08-2023 MCA,M.Tech Regular Master In Computer Application
05 Ms.SWARNALATA SAHU Assistant Professor 11-09-2023 MCA,M.Tech Regular Master In Computer Application
06 Ms.TANUSRI PRIYADARSINI Assistant Professor 21-09-2023 MCA,M.Tech Regular Master In Computer Application
07 Mr.RAMA KRUSHNA PADHY Assistant Professor 15-04-2024 MCA,M.Tech Regular Master In Computer Application
08 Ms.SUBHASHREE PADHI Assistant Professor 11-06-2024 MCA,M.Tech Regular Master In Computer Application
09 Ms.AMISHA PRADHAN Assistant Professor 10-08-2024 MCA,M.Tech Regular Master In Computer Application
10 Ms.PUSPANJALI PATRA Assistant Professor 04-10-2024 MCA,M.Tech Regular Master In Computer Application
11 Ms.PINKI KUMARI SATAPATHY Associate Professor 06-02-2025 MCA,M.Tech Regular Master In Computer Application
12 Ms.LIPSA NAYAK Associate Professor 08-09-2021 MCA,M.Tech Regular Master In Computer Application
13 Mr.CHITTARANJAN MAHAPATRA Assistant Professor 21-11-2023 MCA,M.Tech Regular Master In Computer Application
14 Mr.PRADYUMNA MISHRA Assistant Professor 24-02-2024 MCA,M.Tech Regular Master In Computer Application

Vision

To become a premier knowledge hub in Artificial Intelligence, contributing to the advancement of intelligent technologies and producing innovative engineers with ethical values and a global mindset.

Mission

M1: To provide high-quality technical education in Artificial Intelligence, preparing students to meet evolving technological challenges.

M2: To foster critical thinking, creativity, and research culture that promotes sustainable solutions and innovation.

M3: To build strong industry-academia relationships that enrich curriculum and open new career opportunities.

Objectives

1. To build a strong academic and research foundation in Artificial Intelligence.
2. To integrate interdisciplinary learning in AI, Data Science, and Software Engineering.
3.To stay aligned with national and global AI trends and industry requirements.
4. To promote entrepreneurial skills and encourage start-ups in emerging tech areas.
5. To nurture talent for problem-solving and system development with real-world impact.
6.To encourage collaborative research with leading institutions and companies.
7. To promote ethical, environmental, and societal responsibility in AI development.
8. To contribute to innovation in AI-driven solutions for health, education, governance, and disaster management.

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PROGRAMME OUTCOMES (POs)

1.PO1 (Engineering knowledge): Apply the knowledge of mathematics, science, computer science fundamentals, and AI specialization to solve complex engineering and technological problems.
2.PO2 (Problem analysis): Identify, formulate, research literature, and analyze complex problems in Artificial Intelligence and Data Science, reaching substantiated conclusions using fundamental principles.
3.PO3 (Design/development of solutions): Design intelligent systems, algorithms, and models to solve real-world problems with consideration for public health, safety, culture, society, and the environment.
4.PO4 (Conduct investigations of complex problems): Use data-driven and research-based methods including experiments, data analysis, and information synthesis to develop valid conclusions in AI.
5.PO5 (Modern tool usage): Apply appropriate tools, platforms, and modern technologies including Python, TensorFlow, cloud computing, and AI frameworks to develop intelligent applications with an understanding of limitations.
6.PO6 (The engineer and society): Apply contextual knowledge to assess societal, health, safety, legal and ethical issues relevant to the deployment and impact of AI systems.
7.PO7 (Environment and sustainability): Understand the impact of AI-based solutions in societal and environmental contexts and promote sustainable development through technology.
8.PO8 (Ethics): Adhere to ethical principles and professional responsibilities in the design and use of Artificial Intelligence systems.
9.PO9 (Individual and team work): Work effectively as an individual and in teams, including diverse and multidisciplinary environments to build intelligent systems.
10.PO10 (Communication): Communicate effectively on complex AI activities with both technical and non-technical stakeholders through reports, documentation, and presentations.
11.PO11 (Project management and finance): Apply engineering and management principles to AI-based projects as a team member or leader in multidisciplinary environments.
12.PO12 (Life-long learning): Recognize the need for lifelong learning to adapt to rapid advancements in AI, Machine Learning, and emerging technologies.



COURSE OUTCOMES (COs)

Link for details of COs

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

Bachelor of Technology in Computer Science and Engineering (Artificial Intelligence) is designed to impart Knowledge, Skill and Attitude in graduates to:
PEO1: Build successful careers in Artificial Intelligence, Machine Learning, Data Science, and Software Engineering.
PEO2: Contribute to socio-technological development through academic research, innovation, and AI-based industry practices.
PEO3: Exhibit leadership, ethical integrity, and responsibility while solving real-world problems using intelligent technologies.



PROGRAM SPECIFIC OUTCOMES (PSOs)

PSO1: Ability to apply AI algorithms, deep learning, and machine learning techniques to build and optimize intelligent systems.
PSO2: Ability to design and implement AI solutions in the domains of Natural Language Processing, Computer Vision, Robotics, and Automation.
PSO3: Ability to develop innovative and ethical AI applications focused on sustainability, social good, and global challenges.