About CSE (AI) Department
The department of Computer Science (AI) offers 4-year full time under graduate B. Tech. degree in Computer Science with specialization in Artificial Intelligence.
List of Programs Offered
The Department of Computer Science & Enginering (AI) offers the following academic programs:
-
Bachelor of Technology (B. Tech.) in CSE (AI)
Intake - 120>
Academic Calendar
HOD Message
Welcome to the Department of Computer Science & Engineering (Artificial Intelligence). Artificial Intelligence is no longer merely an emerging technology; it is transforming the way we live, learn, work, and solve some of the most complex challenges society is facing. As AI continues to reshape industries and create new possibilities, the responsibility of an academic institution extends beyond imparting technical knowledge. Our true endeavour is to prepare young minds to become innovators, researchers, entrepreneurs, ethical technology leaders, and lifelong learners who can shape the future with knowledge and purpose.
The Department of CSE (Artificial Intelligence) is committed to building a vibrant academic ecosystem where excellence in education, research, innovation, and industry engagement go hand in hand. As a part of a NAAC-accredited institution, we strive to uphold high standards of outcome-based education while continuously adapting to the rapidly evolving technological landscape. Our approach combines strong fundamentals with experiential and project-based learning, enabling students to translate concepts learned in the classroom into meaningful real-world solutions.
We strongly believe that innovation begins with curiosity and research begins with the courage to ask the right questions. Therefore, we are committed to fostering a strong research culture among both faculty and students through research projects, publications, Centres of Excellence, hackathons, technical competitions, internships, interdisciplinary collaboration, intellectual property creation, and emerging technology initiatives. Our aim is not simply to teach students how existing technologies work, but to encourage them to explore what can be created beyond what exists today.
Equally important to us is a meaningful connection with industry and society. Through industry interaction, expert sessions, internships, collaborative projects, professional certifications, consultancy, and academia-industry partnerships, we seek to bridge the gap between academic learning and professional expectations. We aspire to create an ecosystem where ideas move from classrooms to laboratories, from laboratories to prototypes, and from prototypes to solutions that create real impact.
Our faculty members are the foundation of this journey. We encourage them to be educators, mentors, researchers, and continuous learners who inspire students to think critically, experiment fearlessly, and pursue excellence. Alongside technical competence, we place equal importance on communication, teamwork, leadership, ethical reasoning, and social responsibility. In an era where AI can profoundly influence human lives, technological capability must always be accompanied by responsibility, integrity, and empathy.
Our vision is to develop graduates who are technically strong, research-oriented, innovative, entrepreneurial, socially responsible, and globally competitive. We want our students to graduate not merely as job seekers, but as problem solvers and creators capable of contributing meaningfully to academia, industry, entrepreneurship, government, and society.
I invite our students to dream beyond conventional boundaries, question the obvious, embrace challenges, and never stop learning. I also invite parents, alumni, researchers, industry partners, and other stakeholders to join us in building an ecosystem where knowledge inspires discovery, research drives innovation, collaboration creates opportunities, and education becomes a catalyst for societal transformation.
Together, let us build a department where ideas are nurtured, innovation is encouraged, excellence is pursued, and every student is empowered to create a meaningful future.
Faculty Profile
Dr. Apurv Verma
Head of Department
Regular
Qualification – B.E, M. Tech, PhD
Specialization – AI, ML
Year of Experience – 08 Yrs
Date of Joining – 02/01/2024
Mr. Vineet Kumar Vashishtha
Professor
Regular
Qualification – M.Tech
Specialization – Machine Learning
Year of Experience – 19 Yrs
Date of Joining – 14/09/2024
Mr. Prabhakar Sharma
Assistant Professor
Regular
Qualification – M.Tech
Specialization – Data Science
Year of Experience – 16 Yrs
Date of Joining – 20/03/2023
Dr. Anjali Chandra
Assistant Professor
Regular
Qualification – M.Tech, Ph.D.
Specialization – Computer Technology
Year of Experience – 24 Yrs
Date of Joining – 01/12/2023
Mrs. Rekha Awasthi
Assistant Professor
Regular
Qualification – M.Tech
Specialization – Computer Technology
Year of Experience – 06 Yrs
Date of Joining – 16/10/2024
Ms. Liza Patel
Assistant Professor
Regular
Qualification – M.Tech
Specialization – Computer Technology
Year of Experience – 01 Yrs
Date of Joining – 03/02/2025
Ms. Lilima Jain
Assistant Professor
Regular
Qualification – Ph.D
Specialization – Cyber Security
Year of Experience – 0.8 Yrs
Date of Joining – 11/08/2025
Ms. Rashmi Banchhor
Lecturer
Regular
Qualification – M.Tech
Specialization – Computer Technology
Year of Experience – 01 Yrs
Date of Joining – 25/09/2024
Mr. Narendra Kumar Dewangan
Assistant Professor
Regular
Qualification – M.Tech(CSE)
Specialization – Computer Vision, Object Oriented Programming
Year of Experience – 20 Yrs
Date of Joining – 02/01/2023
Department Vision
To produce competent professional graduates grounded in ethical values by imparting application oriented AI education.
Department Mission
| M1 | To impart AI based quality education align with effective project-based teaching & learning process |
| M2 | To develop effective infrastructure by fostering innovative knowledge and ideas in the field of AI. |
| M3 | To groom competent professionals by imparting knowledge of AI based industry oriented education/courses. |
List of PO's
| 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 |
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 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 |
List of PSO's
| PSO1 | Ability to analyze and apply the knowledge of human cognition, Artificial Intelligence, Machine Learning and data engineering in terms of real-world problems to meet the challenges of the future. |
| PSO2 | Ability to develop computational knowledge and project development skills using innovative tools and techniques to solve problems in the areas related to Deep Learning, Machine learning, Natural Language Processing. |
| PSO3 | Ability to establish or lead a product development company and use the acquired knowledge to identify real-world problems. |
List of PEO's
| PEO1 | Graduates will have the ability to adapt, contribute and innovate new technologies and systems in the key domains of Artificial Intelligence and Machine Learning |
| PEO2 | Graduates will be able to successfully pursue higher education in reputed institutions with AI Specialization |
| PEO3 | Graduates will have the ability to explore research areas and produce outstanding contribution in various areas of Artificial Intelligence |
| PEO4 | Graduates will be ethically and socially responsible solution providers and entrepreneurs in the field of Computer Science and Engineering with AI Specialization |
Scheme & Syllabus
Scheme
Syllabus
Corporate Mentors
What is CSE (AI)?
CSE (AI) refers to the intersection of Computer Science and Engineering with the field of Artificial Intelligence. This involves the application of computer science and engineering principles and techniques to design and develop intelligent systems and software that can perform complex tasks requiring human-like intelligence.
CSE (AI) involves various subfields of AI, such as machine learning, natural language processing, computer vision, robotics, expert systems, and knowledge representation. It also encompasses the development of algorithms, architectures, and frameworks for designing and building intelligent systems, as well as the deployment and maintenance of these systems.
The goal of CSE (AI) is to create intelligent systems that can interact with the real world, make decisions, learn from experience, and adapt to new situations. These systems have many applications in various domains, including healthcare, finance, transportation, manufacturing, and entertainment, among others.
Why CSE (AI)?
CSE (AI) is an important field of study because it has the potential to revolutionize the way we live and work. AI systems can perform complex tasks that would otherwise require human intelligence, such as recognizing images, understanding natural language, making predictions, and making decisions.
By developing intelligent systems, we can improve efficiency, productivity, and accuracy in various fields, including healthcare, finance, transportation, manufacturing, and entertainment. For example, AI can help doctors diagnose diseases more accurately and efficiently, assist financial analysts in predicting market trends, and optimize traffic flow in cities.
CSE (AI) also plays a critical role in addressing some of the world's most pressing challenges, such as climate change, poverty, and inequality. By leveraging AI to analyze large amounts of data, we can gain insights into these issues and develop effective solutions.
Moreover, as the field of AI continues to advance, there will be an increasing demand for professionals with expertise in CSE (AI). These professionals will be well-positioned to pursue careers in a wide range of industries and sectors, including technology, healthcare, finance, and government.