CSE (AI / AI&ML) Department's Overview
The CSE (AI/AI&ML) programs craft future-ready innovators by blending strong computing fundamentals with advanced domains like Machine Learning, Deep Learning, Computer Vision, NLP, Robotics and Agentic AI. Through hands-on projects, industry exposure, leadership training, and ethical grounding, students graduate confident, career-ready, and prepared to lead in the AI-driven global technology era.
Apply Now₹7 Cr
Funding Raised by Alumni
Through Startup : 2025 Batch
95%
Placements in 2025
Leading Tech & AI Companies
240 + 300
Annual Student Intake
CSE (AI) + CSE (AI&ML)
650+
Globally Certified Students
(AI • ML • Cloud)
₹7 Cr
Funding Raised by Alumni
Through Startup : 2025 Batch
95%
Placements in 2025
Leading Tech & AI Companies
240+300
Annual Student Intake
CSE (AI) + CSE (AI&ML)
650+
Globally Certified Students
(AI • ML • Cloud)
Department's Highlights
Introduction of Advanced AI-Centric Core Courses
Our curriculum is systematically structured to progress from foundational sciences and programming to advanced domains such as AI, ML, DL, Gen AI, Cloud Computing, Computer Vision, Data Engineering, Cyber Security, and Full-Stack Development delivered by a highly qualified academic team of faculty members, graduating from premier institutions such as IITs, NITs, and other reputed universities, ensuring strong academic depth and industry-aligned expertise.
Introduction of Advanced AI-Centric Core Courses
Our curriculum is systematically structured to progress from foundational sciences and programming to advanced domains such as AI, ML, DL, Gen AI, Cloud Computing, Computer Vision, Data Engineering, Cyber Security, and Full-Stack Development delivered by a highly qualified academic team of faculty members, graduating from premier institutions such as IITs, NITs, and other reputed universities, ensuring strong academic depth and industry-aligned expertise.
Strong Focus on Experiential & AI-Driven Learning
Our department adopts a future-focused learning approach through AI-driven assessments, Project-Based Learning (PBL), social internships, and industry-oriented capstone projects. Students work with real-world problems while gaining hands-on experience with leading tools such as CodeTantra, AWS Academy, HackerRank, Kaggle, WeXL, Infosys Springboard ensuring practical exposure and strong industry readiness.
Strong Focus on Experiential & AI-Driven Learning
Our department adopts a future-focused learning approach through AI-driven assessments, Project-Based Learning (PBL), social internships, and industry-oriented capstone projects. Students work with real-world problems while gaining hands-on experience with leading tools such as CodeTantra, AWS Academy, HackerRank, Kaggle, WeXL, Infosys Springboard ensuring practical exposure and strong industry readiness.
Industry-Aligned Specializations with Global Certifications
Our Department blends strong academic foundations with industry-ready skills through professional electives aligned with globally recognized certifications, offering specialization tracks in AI & ML, Cloud Operations & Security, and Data Engineering & Cloud Analytics, enriched with industry expert sessions and practitioner-led workshops that ensures that students graduate certification-ready, technically proficient, professionally confident, and highly employable in today's rapidly evolving tech-driven world.
Industry-Aligned Specializations with Global Certifications
Our Department blends strong academic foundations with industry-ready skills through professional electives aligned with globally recognized certifications, offering specialization tracks in AI & ML, Cloud Operations & Security, and Data Engineering & Cloud Analytics, enriched with industry expert sessions and practitioner-led workshops that ensures that students graduate certification-ready, technically proficient, professionally confident, and highly employable in today's rapidly evolving tech-driven world.
Structured Placement Preparation Ecosystem
The department provides a focused placement preparation combining DSA training, coding contests on iamneo, CodeTantra, HackerRank, CodeChef and assessments from AMCAT. Students also receive certification guidance, resume and LinkedIn optimization support, technical bootcamps, and personalized mentoring-ensuring streamlined, industry-aligned placement readiness.
Structured Placement Preparation Ecosystem
The department provides a focused placement preparation combining DSA training, coding contests on iamneo, CodeTantra, HackerRank, CodeChef and assessments from AMCAT. Students also receive certification guidance, resume and LinkedIn optimization support, technical bootcamps, and personalized mentoring-ensuring streamlined, industry-aligned placement readiness.
Placement Overview
60 LPA
Highest Package
17 LPA
Top 10% Placement
6.5 LPA
Average Package
300+
Total Companies
Learning Roadmap
Applied Science
Aptitude & REASONING
Core Skills
Problem Solving
Soft Skills
Web DEVELOPMENT
Data Engineering
Machine Learning
Cloud and Network Security
Industry Integrated Certification
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
Dean's Message
The future belongs to those who can think intelligently, build responsibly, and innovate fearlessly. At the Department of CSE (AI / AI & ML), KIET Deemed to be University, we are shaping that future by redefining how technology education is delivered.
Our AI-first ecosystem integrates strong computational foundations with supercomputing infrastructure, global certifications, industry co-creation, and experiential learning. Students are not passive learners — they are creators, researchers, problem-solvers, and innovators from the very first year.
We envision our department as a hub where artificial intelligence, data, cloud, and emerging technologies converge to create real-world impact. Through research, industry partnerships, and outcome-driven pedagogy, we prepare graduates who are globally competent and ethically grounded.
Our mission is clear — to build intelligent systems and intelligent leaders for a rapidly transforming world.
Dr. Rekha Kashyap
Dean, CSE (AI) & CSE (AI & ML)
Faculty
View All→
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
Voices of Excellence
Soon Networks
2021-25
Akshat Sharma
60 LPA
First Year: Started post-JEE with CS50x in the first semester, fueled by an interest for open source and internet privacy, connected to communities li...
Triton One Limited
2022-26
Prapti Sharma
55 LPA
I'm happy to share that I'm currently working at Triton, a Solana RPC provider, and I genuinely feel that my department, CSE-AIML, played an important...
Service Now
2022-26Vedanshi Kaushik
42.7 LPA
Being a part of KIET Group of Institutions as a B.Tech student from the CSE (AI & ML) department has been a meaningful and enriching journey for me. O...
Razorpay
2022-26
Archit Agarwal
35 LPA
Pursuing B.Tech in CSE (AI) at KIET Group of Institutions was an important phase in my academic and professional journey. The program was designed to ...
AMD
2022-26
Shobhit Sinha
32 LPA
My journey at KIET Group of Institutions as a B.Tech graduate from the CSE (AI&ML) department contributed to my technical foundation and early career ...
GPU.NET
2021-25Aryan Mishra
24 LPA
My journey at KIET Group of Institutions as a B.Tech graduate from the CSE (AI&ML) department was truly transformative! The vibrant campus and cutting...
Juspay
2022-26
Nayni Singhal
21 LPA
My journey at KIET Group of Institutions as a B.Tech student from the Computer Science & Engineering (AI & ML) branch (2022–2026 batch) has been a tru...
Razorpay
2022-26
Aditya Mohan Gupta
21 LPA
When I first stepped into KIET Group of Institutions, I had absolutely no background in DSA, or Web Development. The world of programming felt vast an...
Juspay
2022-26
Kanak Agarwal
21 LPA
I'm glad to share that I'm currently interning at Juspay, with a Pre-Placement Offer of 21 LPA based on my internship performance. This achievement is...
MeetMux
2022-26
Parth Agarwal
20 LPA
Reflecting on my time at the KIET Group of Institutions, I am filled with immense gratitude for the AI & ML department, which served as the ultimate l...
CISCO
2021-25Kanishk Joshi
18 LPA
During my first year at KIET Group of Institutions, Ghaziabad, I explored several domains, including machine learning and web development. I also dive...
Future First
2022-26
Krishna Kumar Chaudhary
17 LPA
Being placed in Futures First is a proud milestone for me, and I genuinely feel that this achievement is the result of the environment and support sys...
Recent Publications
Research Statistics
123
Publications
31
Patents
2
Govt. Projects
50
Grants (Lakhs)
To emerge as a globally competent leader by fostering industry-linked, innovative learning and impactful research in Computational Intelligence.
- To develop students with strong foundation of computer science with focus on Artificial Intelligence and other emerging technologies through outcome-based teaching learning process.
- To collaborate with industry for skill enhancement of teaching professionals and students emphasizing on project-based learning.
- To prepare ethically strong students with powerful leadership skills.
- 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)
- 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)