Computer Science and Engineering (AI & ML)
The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) trains students in the design and development of intelligent systems, combining strong computing fundamentals with specialisation in AI and ML technologies.
About us
The Department of Artificial Intelligence and Machine Learning (AIML) was established in the academic year 2024–2028 with an initial intake of 60 students. The department offers a four-year B.Tech degree program in Artificial Intelligence and Machine Learning.
The department is committed to delivering quality technical education in the fields of Artificial Intelligence and Machine Learning. It focuses on developing technically competent, ethically responsible, and innovative professionals who can address real-world challenges through intelligent systems, data-driven solutions, and emerging technologies.
The mission of the Department of Artificial Intelligence and Machine Learning is to provide value-based education, enhance employability skills, encourage research and innovation, and nurture entrepreneurial abilities among students through effective teaching-learning methodologies. The department continuously upgrades its curriculum and infrastructure to align with evolving technological advancements and global industry standards.
WHY AIML?
The Department of Artificial Intelligence and Machine Learning emphasizes practical learning, industry exposure, research, and innovation-driven education. AI and ML play a vital role in transforming various sectors, including healthcare, banking, education, e-commerce, manufacturing, cybersecurity, robotics, and autonomous systems.
Career Prospects
- Excellent job opportunities in IT companies, technology firms, and multinational corporations.
- High demand for AI and ML professionals across various industries.
- Opportunities in Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Robotics, and Computer Vision.
- Career opportunities in Natural Language Processing (NLP), Generative AI, cloud-based AI solutions, and intelligent automation.
- Scope for research and higher studies in India and abroad.
Consistent Growth
Artificial Intelligence and Machine Learning are among the rapidly advancing fields in technology. The increasing adoption of automation, intelligent systems, predictive analytics, and generative AI continues to create opportunities for skilled professionals across diverse industries.
Scope for Innovation
AIML provides immense opportunities for innovation and research in areas such as:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning
- Data Science and Analytics
- Natural Language Processing (NLP)
- Computer Vision
- Generative AI
- Robotics and Autonomous Systems
- Internet of Things (IoT)
- Intelligent Automation
Global Opportunities
AIML graduates can pursue careers in multinational companies, research institutions, technology startups, and innovation-driven organizations across the globe. The growing adoption of intelligent technologies creates opportunities for students to build successful international careers and contribute to the development of advanced AI-powered solutions.
Vision and Mission
Vision
To impart quality education, promote collaborative research and graduate industry-ready engineers in the domain of Artificial Intelligence and Machine Learning to serve the society.
Mission
- To impart quality education, promote collaborative research and graduate industry-ready engineers in the domain of Artificial Intelligence and Machine Learning to serve the society.
- To inculcate interest on research and innovation through critical thinking To Motivate students to emerge as entrepreneurs with leadership qualities in a societal centric programme to fulfil Industry and community needs with ethical standards.
HOD's Desk
Magazine
Faculty
Mr. Vishnu V
Assistant Professor
AICTE ID: 1-47948632007 AU-FIN: 2777962002
Mr. Karunakaran K
Assistant Professor
AICTE ID: 1-43385611360 AU-FIN: 2733151988
Mrs. Suriyakala M
Assistant Professor
AICTE ID: 1-43878236456 AU-FIN: 2647181999
Non-Teaching
Content coming soon.
Programme Offered
Program Educational Objectives (PEOs)
1. Effectuating success in careers by exploring with the design, digital and computational analysis of engineering systems, experimentation and testing, smart manufacturing, technical services, and research.
2. Amalgamating effectively with stakeholders to update and improve their core competencies and abilities to ethically compete in the ever-changing multicultural global enterprise.
3. To encourage multi-disciplinary research and development to foster advanced technology, and to nurture innovation and entrepreneurship in order to compete successfully in the global economy.
4. To encourage multi-disciplinary research and development to foster advanced technology, and to nurture innovation and entrepreneurship in order to compete successfully in the global economy.
5. To create world class mechanical engineers capable of practice engineering ethically with a solid vision to become great leaders in academia, industries and society.
Program Outcomes (POs)
Engineering Knowledge
Apply mathematics, science, computing, and engineering fundamentals to solve complex engineering problems.
Problem Analysis
Identify and analyze complex problems using research-based knowledge and sustainability principles.
Design Solutions
Design AI and ML-based systems and processes considering health, safety, cost, societal needs, and environmental sustainability.
Investigations
Conduct experiments, modelling, and data analysis to derive valid and reliable conclusions.
Engineering Tools
Apply modern engineering tools, AI frameworks, and machine learning techniques for modelling and problem-solving while recognizing their limitations.
Society & Environment
Evaluate the societal, legal, ethical, and environmental impacts of engineering and AI-based solutions.
Ethics
Demonstrate professional ethics, human values, diversity, inclusivity, and responsible AI practices.
Teamwork
Work effectively as an individual and as a member or leader of multidisciplinary teams.
Communication
Communicate effectively through technical reports, presentations, and documentation for diverse audiences.
Management & Finance
Apply engineering management and economic principles to plan and execute projects effectively.
Lifelong Learning
Pursue continuous learning, adapt to emerging AI and ML technologies, and apply critical thinking to address evolving professional challenges.
Program Specific Outcomes (PSOs)
1. To Design and develop intelligent computing solutions by applying AI and machine learning techniques to solve real-world problems.
2. Employ modern AI tools, frameworks, and innovative methods to analyze data, build predictive models, and deliver effective solutions for industrial and societal applications.
3. Enhance competence in advancements in AI and ML, engage in responsible research, and uphold ethical and professional standards in developing intelligent systems.
BOS
Board of Studies Composition
| Position in Board of Studies | Name of the Members |
|---|---|
| Chairman | Dr.C.Shalini Head of Department, Department of Computer Science and Engineering, T.J.S. Engineering College |
| Anna University Nominee | Dr S Muthurajkumar Associate Professor Department of Computer Technology, MIT Campus, Anna University Chennai |
| Dr M Thenmozhi Associate Professor, Department of Computer Science and Engineering, Puducherry Technological University, Puducherry | |
| Nominee from outside parent university | Prof Masilamani V Professor Department of Computer Science and Engineering Indian Institute of Information Technology Design and Manufacturing, Kancheepuram |
| Dr Kamalakannan J Associate Professor Senior School of Computer Science Engineering and Information Systems Vellore Institute of Technology Vellore | |
| Industry Nominee | Mr Sengathiron T S IT Consultant and Technology Advisor CBW Bank |
| Alumni | Mr Ashish HCL – GUVI, Chennai |
Regulation & Curriculum
MOU's
Content coming soon.
Industry Visits
Industry Visits 2026
Our Department Students visited Softlogic Academy, Navalur
Internship
| Organisation | Duration | Students |
|---|---|---|
| Indian Institute of Information Technology Sri City | 15-06-2026 to 31-07-2026 | Ms. Laxmi Priya Mallick, a student of T.J.S. Engineering College, Thiruvallur, Tamil Nadu, successfully completed a Research Internship at the Indian Institute of Information Technology Sri City, Chittoor, under the guidance of Dr. Kamalakanta Sethi, from 15th June 2026 to 31st July 2026. The internship focused on “LLM-Native Semantic Steganography with Plausible-Deniability Guarantees”, providing practical research experience in image steganography, Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Least Significant Bit (LSB)-based approaches, while strengthening her research, analytical, and technical skills. |
| VirtualWorks Lab | 09-06-2026 to 09-07-2026 | Ms. Harini P, a student of T.J.S. Engineering College, successfully completed an internship in Data Analytics at VirtualWorks Lab from 09 June 2026 to 09 July 2026. The internship provided practical exposure to web traffic analytics, interactive dashboard development, geospatial data analysis, customer churn analysis, and data cleaning, enhancing the student's technical and professional skills. |
| Web Design | 01-06-2026 to 27-06-2026 | Mr. Nivash Priyakumar R, a student of T.J.S. Engineering College, successfully completed an internship in Web Design from 1st June 2026 to 27th June 2026. The internship provided hands-on experience in web design and project development, helping the student enhance his technical skills and gain practical exposure to web-based applications. |
Indian Institute of Information Technology Sri City
VirtualWorks Lab
Web Design
Publication
An Improved Archimedes Optimization-aided Multi-scale Deep Learning Segmentation with dilated ensemble CNN classification for detecting lung cancer using CT images
Exploitation of Spectrum White Spaces by Using Energy Based Primary Transmitter Detection Approach for Cognitive Radio Networks
Patent
Content coming soon.
Books & Chapters
Content coming soon.
Department Laboratories
About the Laboratory
The Communication Lab helps students strengthen their verbal, written, and interperson-al communication skills, which are essential for professional and technical environments.
Students engage in listening, speaking, reading, and writing exercises using language lab software and multimedia tools to improve fluency, pronunciation, and workplace commu-nication confidence.
Conference
Content coming soon.
Guest Lecturer, FDP & Workshop
Value Added Course
Artificial Intelligence and Machine Learning
The Department of Information Technology and Artificial Intelligence & Machine Learning organized a Value Added Course on “Artificial Intelligence and Machine Learning” to provide students with practical exposure to emerging AI and ML technologies and to enhance their technical and application-oriented skills.
Course Details
- Organized By: Department of Information Technology
- In Association With: Artificial Intelligence and Machine Learning
- Participants: II Year IT Students
- Date: 09-03-2026 to 13-03-2026
- Speakers/Trainers:
- Dr B Ezhilavan — Founder & CEO, VEI Technologies
- Mr Nirmal S — Trainer and Software Developer, VEI Technologies
- Mrs Vignesh Kumar M — Senior Embedded Software Engineer, Johnson Electric Pvt. Ltd.
- Mr. Praveen Reddy — Assistant Professor, T.J.S. Engineering College
- Dr. S. Menaka — Assistant Professor, Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology
Symposium
Symposium Other
Symposium – “CRYPTON”
The Department of Artificial Intelligence & Machine Learning, T.J.S. Engineering College, successfully organized a National-Level Technical Symposium – “CRYPTON”, providing students with an exciting platform to showcase their technical knowledge, creativity, problem-solving abilities, and innovative ideas.
TECHNICAL EVENTS
1. Paper Presentation
2. Web Forge
3. Prompt War
4. Tech Speech
5. Code Quest
NON-TECHNICAL EVENTS
1. Treasure Hunt
2. Free Fire
3. Movie & Song Prediction
4. Lyric Crush
The symposium witnessed enthusiastic participation and offered students opportunities to explore emerging technologies, demonstrate their skills, and engage in healthy competition. The technical events encouraged participants to showcase their knowledge in Artificial Intelligence, Machine Learning, programming, web development, and prompt engineering, while the non-technical events promoted creativity, communication, logical thinking, and teamwork.
The symposium was conducted with the support and guidance of the faculty members and student coordinators, making it a valuable platform for knowledge sharing, collaboration, and professional development. The event encouraged students to explore innovative ideas and strengthen their technical competencies in preparation for future academic and career opportunities.
Seminars & Activities
Seminars & Activities Other
WEB FORDGE
Web Forge is a technical event organized by the Department of AIML to provide students with an opportunity to enhance their web development, programming, problem-solving, and creative design skills. The event encourages students to apply their theoretical knowledge through practical activities and develop innovative web-based solutions.
The event provides a platform for students to demonstrate their skills in HTML, CSS, JavaScript, responsive web design, and modern web technologies, while promoting creativity, teamwork, and technical excellence.
PROMPT WAR
Prompt War is a technical and creative event organized by the Department of AIML to provide students with an opportunity to explore the potential of Artificial Intelligence and prompt engineering. The event encourages participants to design effective prompts, interact with AI tools, and develop innovative solutions to given challenges.
The event helps students enhance their critical thinking, creativity, problem-solving, communication, and AI literacy skills, while providing practical exposure to emerging AI technologies. It also promotes healthy competition, innovation, and collaborative learning among students.
TECHNICAL SPEECH
Technical Speech is an academic event organized by the Department of AIML to provide students with a platform to share and explore knowledge on emerging technologies, current trends, and innovative developments in the field of Information Technology.
The event encourages students to enhance their technical knowledge, communication skills, presentation abilities, and confidence. It also promotes knowledge sharing, critical thinking, and awareness of emerging areas such as Artificial Intelligence, Machine Learning, Cybersecurity, Cloud Computing, Data Science, and Web Technologies.
CODE QUEST
Code Quest is a technical event organized by the Department of AIMLto provide students with an opportunity to strengthen their programming, logical thinking, problem-solving, and algorithmic skills. The event encourages participants to solve coding challenges and apply their programming knowledge to real-world problems.
The event provides a platform for students to demonstrate their skills in programming, debugging, algorithm design, and computational thinking, while promoting creativity, teamwork, competitive spirit, and technical excellence.
PAPER PRESENTATION
Paper Presentation is an academic event organized by the Department of AIML to provide students with a platform to research, explore, and present innovative ideas and developments in emerging areas of technology.
The event encourages students to enhance their research skills, technical knowledge, critical thinking, communication, and presentation abilities. Participants get an opportunity to present their ideas on topics related to Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Cloud Computing, Web Technologies, and other emerging fields, fostering innovation and knowledge sharing.
Major Recruiters
Placed Students
Content coming soon.
Faculty Achievements
Students Achievements
Co-Curricular
Extra-Curricular
Content coming soon.
Gallery
Content coming soon.
Alumni Interactions
Content coming soon.
Distinguished Alumni
Content coming soon.
Entrepreneurship
Content coming soon.
