About the Department
The Department of Artificial Intelligence and Machine Learning (AIML) at Kathir College of Engineering is dedicated to nurturing technically proficient, innovative, and industry-ready professionals in the rapidly growing domains of AI and ML. The department was established with a strong vision to create a Centre of Excellence that promotes advanced learning, research, and real-time problem solving in intelligent computing technologies. To align with emerging industry standards, the curriculum emphasizes Machine Learning, Deep Learning, Data Analytics, Natural Language Processing, Computer Vision, Robotics, and AI-powered application development.
The AIML department ensures a student-centric learning environment by offering continuous mentoring, value-added courses, certification programs, and training for competitive examinations and placements. Graduates from the department are well-prepared for careers in AI Engineering, Data Science, Machine Learning Development, Software Engineering, Business Analytics, Robotics, IoT, and Research & Development.
Information for AIML aspirants
The Department of Artificial Intelligence and Machine Learning prepares students to master emerging technologies that shape the future. The program offers strong foundations in Machine Learning, Deep Learning, Data Analytics, Computer Vision, and Intelligent Systems, supported by advanced labs and industry-focused training. AIML aspirants gain hands-on experience through real-time projects, internships, certifications, and innovation activities. Graduates are equipped with the technical skills and problem-solving abilities required for careers in AI Engineering, Data Science, ML Development, Robotics, and Research.
Why AIML @ KCE?
- Established in 2008 and offers B.E (CSE) and M.E (CSE)
- AI driven technology E-Box platform for TLP
- Highly qualified faculty members
- State of art laboratory facilities
- Industry collaborated R&D Labs
- Many technical Clubs such as Software development club, Coding Club.
- GATE focused training
Benefits
- Industry-Oriented Learning.
- State-of-the-Art Laboratories
- Experienced Faculty Team
- Real-Time Project Exposure
- Industry Tie-ups & Certifications
- Strong Placement Support
- Research & Innovation Culture
- Student-Centric Environment
Vision
To produce competent professionals who can be leaders in the field of AI & ML through quality education, research and innovation as well as provide solutions to the societal problems.
Mission
M1:To deliver high-quality education in Artificial Intelligence and Machine Learning through innovative teaching, practical exposure, and ethical practices. We strive to equip learners with advanced skills to create intelligent, socially responsible, and industry-ready solutions.
M2: To promote cutting-edge research and innovative thinking in Artificial Intelligence and Machine Learning through collaborative learning and problem-driven exploration.
M3: We aim to develop impactful, future-ready AI solutions that address real-world societal and industrial challenges.
Program Educational Objectives(PEOs)
PEO 1 – Technical Competence:
Graduates will build solid technical skills in AI, ML, Data Analytics, and computational fields to thrive in their careers.
PEO 2 – Problem Solving & Innovation:
Graduates will apply analytical thinking, research aptitude, and innovative approaches to develop intelligent solutions for real-world problems.
PEO 3 – Ethical ,Social Responsibility & Lifelong Learning:
Graduates will work responsibly with integrity and enhance their skills to remain relevant in the tech industry.
Programme Outcomes (POs)
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- 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.
- 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.
- Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
- The 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.
- Environment and sustainability: understand the impact of the professional engineering solutions in societal and environmental contexts, demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.
- Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the 21 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.
- 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.
- 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.
Program Specific Outcome (PSOs)
Graduates should be able to
PSO 1 – AI & ML Implementation:
Ability to design, develop, and implement AI/ML-based algorithms, data-driven applications, and intelligent systems using modern tools and technologies.
PSO 2 – Intelligent System Development:
Ability to apply Deep Learning, Computer Vision, NLP, and automation techniques to build real-time intelligent solutions for industry and societal needs.
Faculty Details
| Name of Faculty | Designation | Area of Expertise |
|---|---|---|
| Dr.SJK JAGADEESH KUMAR | PROFESSOR & HEAD | Artificial Intelligence, Deep Learning and Broadband Wireless Networks |
| Mrs.K.N.Jayapriya | ASST. PROF. | Machine Learning Techniques and Data Science |
| Mrs.V.C.Nathiya | ASST. PROF. | Deep Learning and Machine Learning Techniques |
| Mr.A.Prasath | ASST. PROF. | Computer Networks |
Highlights of the Department
- AI driven technology E-Box platform for TLP
- Highly qualified faculty members
- Industry collaborated R&D Labs
- Many technical Clubs such as Software development club, Coding Club.
Lab Facilities
Networks Lab
Networks and simulation Lab consists of state of art infrastructure with high end configuration computing equipment supported by high speed Ethernet and wireless networks. This lab is provided with high speed internet connectivity round the clock. This lab is equipped with a wide variety of proprietary and open source software for experimenting real world concepts in networking. Some of the software includes NS2, Packet Tracer, NetStumbler, etc with the help of which the students can build their own network, know how data communication takes place in real world and so on.
Mobile Application Development Laboratory
Mobile app means a lot to us. In mobile application laboratory, students are actively engaged in developing various applications for Android mobile phones with the help of Android studio, Kotlin etc. Brilliant Bird Technologies, Coimbatore have signed an MOU, to train the students to develop various mobile apps. Students have participated in many events and won prizes in mobile application development.
Faculty Publications
| Name of Faculty | Designation | Title | Name of the Journal/Volume/Issue/PP |
|---|---|---|---|
| Dr.S.J.K. Jagadeesh Kumar | Professor and Head | A Combined Credit Risk and Collaborative Watchdog Method for Detecting SelfishNode over Mobile AdHoc Network | International Journal of Advanced Research in Computer Science and Software, 2012 |
| An Enhanced scheduling algorithm for QoS optimization in 802.11 e based Networks | Global Journal of Computer Science and Technology 12 (5), 2012 | ||
| An Enhanced QoS Provisioning Approach for Video Streams using Cross Layer Design in IEEE 802.16 | Global Journal of Computer Science and Technology 12 (11E), 2012 | ||
| A Forced Caching Scheme to Improve Data Access in Disruption Tolerant Networks | First International Conference on Computational Intelligence and Informatics, Advances in Intelligent Systems and Computing 507, DOI 10.1007/978-981-10-2471-9_26, 2017 | ||
| Improving the Performance of Mobile Ad Hoc Network using a Combined Credit Risk and Collaborative Watchdog Method | Global Journals Inc.(US) 13 (6),2013 |
Association with reputed companies / industries
- Avatar Academy
- Zengage Technologies
- Effitrac Solutions India Private Ltd
- A2B2 IT Services
- Globas smart Technologies
- Toon Explainers
- Sylix Pro technologies
- iExemplar Software India Private Ltd
Offers Value Added Programs and certification courses
- Cyber security
- Programming in Python
- Programming in C
- React JS
- Programming in java
- Angular JS
Associated with various professional bodies
- Indian Society for Technical Education (ISTE)
- Computer Society of India (CSI)
HOD’S Message
In today’s fast-evolving digital era, AI and ML have emerged as transformative technologies that shape industries, enhance human capabilities, and redefine the way we live and work. Our department is committed to nurturing young minds with the knowledge, skills, and mindset required to excel in this dynamic field.
We offer a curriculum that blends strong theoretical foundations with extensive hands-on learning through advanced laboratories, real-time projects, industry internships, and research opportunities. Our dedicated faculty members continuously guide students to think critically, innovate boldly, and develop intelligent solutions to real-world challenges. We encourage our learners to explore emerging domains such as deep learning, computer vision, natural language processing, data analytics, and AI ethics, ensuring they stay ahead in a competitive global landscape.
Beyond academics, we focus on holistic student development through technical clubs, workshops, hackathons, mentoring programs, and industry collaborations. We strive to create an environment that inspires creativity, teamwork, leadership, and lifelong learning. Our aim is to shape students into skilled professionals, ethical innovators, and responsible technologists who contribute meaningfully to society and industry.