M.Tech (CSE - AI&ML) Overview
Dear Aspirants,
It gives me great pleasure to introduce our M.Tech in CSE (Artificial Intelligence & Machine Learning), a postgraduate programme designed to align with the rapidly evolving landscape of Artificial Intelligence, innovation, and advanced computing.
Artificial Intelligence today has become a fundamental force driving transformation across industries and research domains. This programme has been carefully structured to provide a strong academic foundation combined with exposure to emerging AI technologies, enabling students to develop the knowledge and skills required to address complex real-world challenges.
A key strength of this programme lies in its advanced computational infrastructure, including access to NVIDIA DGX Supercomputing facilities, enabling students to work on compute-intensive AI problems and advanced model development. This research-grade environment provides valuable exposure to modern AI systems and real-world applications.
This programme is intended for a diverse group of learners, including working professionals aiming to enhance their technical expertise, academicians seeking to deepen their research capabilities, and motivated graduates with an interest in Artificial Intelligence and data-driven technologies.
We are committed to providing a strong academic and research ecosystem through dedicated faculty mentorship, opportunities for innovation, and close engagement with emerging developments in Artificial Intelligence. Our goal is to nurture professionals and researchers who can contribute meaningfully to the future of intelligent technologies.
This programme is not only about acquiring technical knowledge but also about developing analytical thinking, innovation-driven problem solving, and responsible AI practices – qualities essential for leadership in an AI-driven world. I warmly invite you to be part of this exciting academic journey and contribute to the advancement of intelligent technologies that create meaningful impact.
Dr. Rekha Kashyap
Dean, CSE (AI and AI&ML)
Two Distinct Pathways. One Powerful M.Tech Experience.
With a well-structured academic support, the program is designed to accommodate working professionals without compromising academic excellence.
Research-Aligned Pathway
For Future Researchers and Innovators
Designed for students who aspire to pursue Ph.D. programs, research careers, and technological innovation, this pathway provides a strong foundation in advanced AI concepts and scientific inquiry.
Industry Internship–Aligned Pathway
For Industry Professionals and Future Technology Leaders
Designed for working professionals and aspiring industry experts who want to strengthen their careers through practical learning, real-world exposure, and structured industry engagement.
Department's Highlights
Cutting-Edge Curriculum
Gain in-depth knowledge and hands-on expertise in advanced Artificial Intelligence technologies, including Generative AI, Agentic Systems, Artificial Intelligence & Machine Learning, Deep Learning, and Autonomous Intelligent Systems. The curriculum is designed to equip students with strong theoretical foundations and practical skills aligned with emerging industry demands and next-generation AI innovations.
Cutting-Edge Curriculum
Gain in-depth knowledge and hands-on expertise in advanced Artificial Intelligence technologies, including Generative AI, Agentic Systems, Artificial Intelligence & Machine Learning, Deep Learning, and Autonomous Intelligent Systems. The curriculum is designed to equip students with strong theoretical foundations and practical skills aligned with emerging industry demands and next-generation AI innovations.
Supercomputing NVIDIA Centre of Excellence
Access high-performance computing infrastructure through the NVIDIA Centre of Excellence, enabling students to work on large-scale AI models, intelligent automation systems, and real-world research problems using NVIDIA DGX-100 supercomputing platforms. This provides hands-on exposure to advanced AI development, deep learning experimentation, and high-performance computing environments.
Supercomputing NVIDIA Centre of Excellence
Access high-performance computing infrastructure through the NVIDIA Centre of Excellence, enabling students to work on large-scale AI models, intelligent automation systems, and real-world research problems using NVIDIA DGX-100 supercomputing platforms. This provides hands-on exposure to advanced AI development, deep learning experimentation, and high-performance computing environments.
Industry Connect
Benefit from continuous guidance, mentorship, and technical supervision from AI Innovation Labs and experienced industry domain experts. The program integrates industry-driven case studies, live projects, and collaborative learning opportunities to bridge the gap between academic knowledge and real-world applications.
Industry Connect
Benefit from continuous guidance, mentorship, and technical supervision from AI Innovation Labs and experienced industry domain experts. The program integrates industry-driven case studies, live projects, and collaborative learning opportunities to bridge the gap between academic knowledge and real-world applications.
Global & Industry Exposure
Experience a seamless transition from classroom learning to corporate environments through global industry exposure, expert interactions, internships, and collaborative research opportunities. The program also provides 100% placement assistance, helping students connect with leading technology companies and build successful careers in Artificial Intelligence and emerging technologies.
Global & Industry Exposure
Experience a seamless transition from classroom learning to corporate environments through global industry exposure, expert interactions, internships, and collaborative research opportunities. The program also provides 100% placement assistance, helping students connect with leading technology companies and build successful careers in Artificial Intelligence and emerging technologies.
Your Journey Into Advanced Computing Begins Here
Driving Supercomputing with DGX
Centre of Excellence
Powered by the NVIDIA DGX A100 Supercomputer, KIET enables enterprise-grade AI computing for advanced research in the field of AI. Students build and deploy complex AI models on industry-level GPU infrastructure. A hub for innovation, industry collaboration, and next-generation AI excellence.
Our Clubs
Faculty
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Dr. Rekha Kashyap
Professor & Dean-CSE(AI/AI&ML),
Ph.D. JNU, New Delhi
Dr. Sapna Juneja
Professor, CSE(AI)
Ph.D. MDU, Rohtak, Haryana
Dr. Pratibha Singh
Professor, CSE (AI) & CSE (AIML)
Ph.D. IIT - Delhi
Dr. Shelly Gupta
Professor, CSE(AI)
Ph.D. Amity University, Uttar Pradesh
Dr. Mukesh Kumar Tripathi
Associate Professor, CSE(AI)
Ph.D. Visvesvaraya Technological University, Belagavi
Dr. Puneet Garg
Professor, CSE(AI)
Ph.D. J.C. Bose University of Science and Technology, YMCA
Dr. Rohit
Associate Professor, CSE(AI)
Ph.D. University of Technology, Jaipur
Dr. Kiran
Associate Professor, CSE(AI)
Ph.D. SRM University, Sonepat
Mr. Sahil Bhatia
Assistant Professor & Program Head (First Year), CSE(AI)
M.Tech. IIT - Jodhpur
Mr. Mayank Lakhotia
Assistant Professor & Program Head (First Year), CSE (AI) & CSE (AIML)
M.Tech. NSUT, New Delhi
Mr. Piyush Agarwal
Assistant Professor, CSE(AI)
M.Tech. DTU, New Delhi
Dr. Richa Singh
Assistant Professor, CSE (AI) & CSE (AIML)
Ph.D. Amity University, Lucknow
Dr. Kavya Gupta
Assistant Professor, CSE (AI) & CSE (AIML)
Ph.D. IGDTUW, Delhi
Dr. Davesh Kumar Sharma
Professor, CSE (AI) & CSE (AIML)
Ph.D. SRM Institute of Science and Technology
Mr. Rajeev Kumar Singh
Assistant Professor, CSE (AI) & CSE (AIML)
M.Tech. Dr. A.P.J. AKTU, Lucknow
Ms. Bhawna
Assistant Professor, CSE (AI) & CSE (AIML)
M.Tech. Maharishi Markandeshwar University, Mullana, Ambala
Ms. Payal Chhabra
Assistant Professor, CSE (AI) & CSE (AIML)
M.Tech. Govind Ballabh Pant University, Pantnagar
Dr. Gaurav Srivastav
Assistant Professor, CSE(AI)
Ph.D. Sharda University, Greater Noida
Dr. Manvi Khatri
Assistant Professor, CSE(AI)
Ph.D. SRM University, Sonepat
Recent Publications
Research Statistics
123
Publications
31
Patents
2
Govt. Projects
50
Grants (Lakhs)
To excel globally in computational Intelligence through industry-integrated education, multidisciplinary innovation and research, ethical values, and sustainable technological solutions for societal advancement.
- To provide a strong foundation in Computer Science with focus on Artificial Intelligence and other emerging technologies through skill oriented, outcome-based teaching learning process.
- To foster multi-disciplinary innovation, research, and project-based learning through collaboration with industry and academia for developing sustainable technological solutions.
- To develop ethical professionals and leaders capable of creating sustainable and socially responsible technological solutions.
- PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
- PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
- PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
- PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8) (WK8)
- PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
- PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7)
- PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
- PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
- PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
- PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
- PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for (i) Independent and life-long learning (ii) Adaptability to new and emerging technologies and (iii) Critical thinking in the broadest context of technological change. (WK8)
- PSO 1: Graduates will be able to- Apply Artificial Intelligence, Machine Learning, and Data Analytics techniques to develop intelligent, data-driven solutions for complex real-world problems.
- PEO 1. Graduates will be able to - Demonstrate professional competence in Computing, Artificial Intelligence, and emerging technologies to develop innovative solutions for real- world problems.
- PEO 2. Graduates will be able to - Adapt to technological advancements through lifelong learning, multidisciplinary collaboration, and continuous professional growth.
- PEO 3. Graduates will be able to - Pursue successful careers in industry, higher studies, research, or entrepreneurship while upholding ethical values and contributing to sustainable societal development.