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| Duration | Intake | Tie Up | Approvals |
|---|---|---|---|
| 4 Years (8 Semesters) | 180 | AWS Oracle Academy Intel Intelligent systems ARM | AICTE |
NIET offers a four-year under-graduate B.Tech course in Artificial Intelligence with a specialization in Blockchain Technology to provide a sound understanding of the fundamentals of the theory and practice of Artificial Intelligence. This course is best suited for students seeking to build world-class expertise in Artificial Intelligence and emerging technologies, which helps to stand out in the crowd and grow careers in the upcoming technological era.
Artificial Intelligence (AI) enables machines to learn from experience, when used they adjust with different inputs and perform tasks like a human. AI is used in various domains like finance, healthcare, video-games and automobile industry. As an example, applications like a pulse oximeter or chess-playing computers or self-driving cars use AI. The applications mentioned above heavily rely on natural language processing and deep learning. A large amount of data can be processed by computers with intelligent processing using these technologies.
B.Tech in Artificial Intelligence with specialization in Blockchain equips the student with an understanding of what is happening around the globe in Blockchain technologies and cryptocurrencies. During the tenure of this program, students shall develop an understanding and working knowledge of foundational Blockchain concepts, architecture, application, and solutions. One can gain advanced and in-depth knowledge of distributed ledger, Ethereum and Bitcoin cryptocurrency and can exploit research using a hands-on approach. It is designed to give exposure to the variety of applications that can be built using techniques covered under this program.
Highlights- One of top colleges in Delhi/NCR and the first one to offer best-in-class B.Tech program in Artificial Intelligence.
- Builds a solid foundation in Blockchain Technology and ongoing industry-wide Blockchain frameworks through an industry-oriented curriculum.
- Learn through real-time industry projects sponsored by global leaders in Artificial Intelligence industry and regular live sessions by industry experts.
- Gain expertise in advanced topics such as knowledge representation, logical reasoning, robotics, machine learning, deep learning, pattern recognition, expert systems, natural language processing etc.
To establish the department of AI as a renowned centre, producing industry ready ethical professionals, innovators and entrepreneurs in service of the society at large.
- To impart quality education by nurturing collaborative culture to develop competent professionals.
- To establish and continuously evolve as a technology-driven preferred centre for research, innovations, and start-ups.
- To inculcate moral and ethical values amongst the students, adept at delivering innovative solutions for society and life-long learning.
Our graduates will be able to
- Engage in successful professional practices in the area of Artificial Intelligence and pursue higher education and research.
- Demonstrate effective leadership and communicate as an individual and as a team in the workspace and society.
- Pursue life-long learning in developing AI-based innovative solutions for the betterment of society.
Our graduates will be able to
- Apply Artificial Intelligence and its applications to design intelligent systems for the betterment of society.
- Develop AI-based innovative solutions demonstrating research, entrepreneurship, professional ethics, and communication skills.
- Demonstrate competency in AI by working in a team and engaging in life-long learning.
Dr. Sandhya Umrao
Head of Department
Department of CSE(AI) NIET, Greater Noida
Welcome to the Department of Computer Science and Artificial Intelligence (CSE AI) at NIET, Greater Noida.
As the Head of Department, it is my pleasure to extend a warm welcome to all visitors, students, faculty, and staff who are exploring our department's website. Here at CSE AI, we are dedicated to fostering a dynamic learning environment where innovation, collaboration, and excellence thrive.
AI department is at the forefront of cutting-edge research and education in the fields of computer science and artificial intelligence. With a team of highly qualified faculty members who are experts in their respective domains, we offer a comprehensive range of courses, research opportunities, and resources to prepare our students for successful careers in academia, industry, and beyond.
Our curriculum is designed to equip students with the knowledge, skills, and ethical mindset necessary to tackle real-world challenges and contribute meaningfully to the advancement of AI and its applications. Beyond the classroom, our department actively engages in interdisciplinary research collaborations, industry partnerships, and community outreach initiatives to make a tangible impact on the world around us.
Welcome to the Department of Computer Science and Artificial Intelligence (CSE AI) at NIET, Greater Noida.
Best regards,
Dr. Sandhya Umrao,
Head of Department
Department of CSE(AI) NIET, Greater Noida
Dr. Sandhya Umrao
Professor & HOD, Artificial Intelligence
Experience
16.10 Year
sandhya.umrao@niet.co.in
I am thrilled to welcome you to the AI Branch! As the Head of Department,
I am excited about the journey we are about to embark on together in this rapidly evolving field.Artificial Intelligence is not just a buzzword; it's a transformative force reshaping industries, societies, and the way we perceive the world. In our branch, we have the unique opportunity to harness the power of AI to drive innovation, solve complex problems, and create value for our organization and beyond.Our mission is clear: to push the boundaries of AI research and development, to deliver cutting-edge solutions that make a difference, and to cultivate a culture of curiosity, collaboration, and excellence.As we dive into our work, I encourage each of you to bring your creativity, expertise, and passion to the table. Let's embrace challenges as opportunities for growth, celebrate our successes, and learn from our setbacks.Together, we can unlock the full potential of AI and shape a future where technology empowers us to achieve extraordinary things. I am honored to lead this talented team, and I look forward to achieving great things together.
Education- Ph.D. (2018)
MMU, Mullana, India - M. Tech (2007)
Kurukshetra University, Kurukshetra
- Anubhava Srivastava, Sandhya Umrao, Susham Biswas, “Exploring forest transformation by analyzing spatial-temporal attributes of vegetation using vegetation indices” published in (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 14, No. 5, 2023. (Scopus & ESCI).
- Anubhava Srivastava, Sandhya Umrao, Susham Biswas, "FCCC: Forest cover change calculator user interface for identifying forest incident in forest region over Landsat-9 and Sentinel-2 datasets" published in International Journal of Advanced Computer Science and Applications, Vol. 14, No. 7, 2023 (Scopus & ESCI).
- Sanjay Kumar, Sandhya Umrao, Harsha Gupta “Project Management and Evaluation system Using Node JS” presented in 3rd International Conference on Advanced Computing and Innovation Technologies in Engineering 2023” (Scopus).
- Sandhya Umrao, Sanjay Kumar, Harsha Gupta “Comparison of Machine Learning Techniques to Estimate Increase in Crop Productivity” presented in 3rd International Conference on Advanced Computing and Innovation Technologies in Engineering 2023” (Scopus).
- Anushree Nigam, S. K. Singh, Sandhya Umrao “A Comparative Analysis of ML Algorithms to Improve Crop Productivity Prediction” presented in International Conference on Disruptive Technologies 2023 (Scopus).
| Title | Click to Download |
|---|---|
| CSE-AI Faculty List 2020-2021 |  |
Singh, Y., Singh, L., Pandit, J., Kumar, A. and Arora, G., 2021, September. Title: Post Covid-19 Scenario: A Study of Shifting Paradigm in Teaching-A Detailed Analysis. In 2021, 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 1-4). IEEE.
Singh, H., Kumar, V., Saxena, K. and Prasad, R., 2022. Title: A Smart Model for Prediction of Radio Wave Attenuation Due to Clouds and Fog (SMRWACF). Wireless Personal Communications, 122(4), pp.3227-3245.