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. Laxman Singh
Professor, CSE(AI&ML)
Ph.D. Jamia Millia Islamia, New Delhi
Dr. Pratibha Singh
Associate Professor & Program Head, CSE(AI&ML)
Ph.D. IIT - Delhi
Dr. Shelly Gupta
Associate Professor & Program Head, 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
Associate 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&ML)
M.Tech. NSUT, New Delhi
Mr. Piyush Agarwal
Assistant Professor, CSE(AI)
M.Tech. DTU, New Delhi
Dr. Richa Singh
Assistant Professor, CSE(AI&ML)
Ph.D. Amity University, Lucknow
Dr. Kavya Gupta
Assistant Professor, CSE(AI&ML)
Ph.D. IGDTUW, Delhi
Dr. Davesh Kumar Sharma
Assistant Professor, CSE(AI&ML)
Ph.D. SRM Institute of Science and Technology
Mr. Rajeev Kumar Singh
Assistant Professor, CSE(AI&ML)
M.Tech. Dr. A.P.J. AKTU, Lucknow
Ms. Bhawna
Assistant Professor, CSE(AI&ML)
M.Tech. Maharishi Markandeshwar University, Mullana, Ambala
Ms. Payal Chhabra
Assistant Professor, CSE(AI&ML)
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 be a premier postgraduate programme in Artificial Intelligence and Machine Learning, fostering research excellence, industry leadership, and responsible AI innovation for global impact.
- Advanced Knowledge & Research Excellence: To provide rigorous theoretical foundations and research-driven learning in AI & ML, enabling scholars to contribute to high-impact publications, patents, doctoral progression, and cutting-edge technological advancements.
- Industry Integration & Professional Competence: To integrate industry-aligned pathways, live supercomputing-based projects, internships, and real-world problem-solving experiences that enhance employability, innovation capability, and leadership readiness in emerging AI domains.
- Innovation, Ethics & Societal Impact: To foster startup culture, interdisciplinary collaboration, and responsible AI practices that promote sustainable innovation, ethical decision-making, and meaningful societal transformation.
- Advanced AI Expertise: Apply advanced theoretical knowledge and computational techniques in Artificial Intelligence, Machine Learning, and Deep Learning to solve complex and real-world problems.
- Research & Innovation Capability: Conduct independent research using scientific methodologies, analytical tools, and high-performance computing platforms to produce high-impact publications, patents, or doctoral-level contributions.
- Intelligent System Design: Design, develop, and deploy scalable, industry-ready AI solutions using modern frameworks, supercomputing resources, and data-driven approaches.
- Industry & Professional Competence: Demonstrate professional skills through industry-integrated projects, internships, and collaborative problem-solving, ensuring leadership readiness in emerging AI domains.
- Ethical & Societal Responsibility: Develop and implement AI systems adhering to ethical principles, data privacy standards, sustainability considerations, and responsible innovation practices.