Artificial Intelligence and Machine Learning

Department Image

About the Department

The Department of Artificial Intelligence and Machine Learning (AI & ML), established in 2024, offers a 4-year full-time B.E. program designed to prepare students for the rapidly evolving world of intelligent technologies. The department focuses on building a strong foundation in artificial intelligence, machine learning, and data-driven decision-making. Supported by a team of well-qualified and experienced faculty members from academic and industrial backgrounds, the department promotes innovation, research, and practical learning. Modern ICT-enabled teaching tools, smart classrooms, and hands-on laboratory sessions complement traditional teaching methods to enhance student understanding.

The department aims to equip students with the skills required to design and develop intelligent systems that address real-world challenges across industries such as healthcare, finance, manufacturing, automotive, and cyber security. With an industry-oriented curriculum and exposure to advanced AI and ML tools, the department strives to nurture competent professionals ready to contribute to technological advancements and societal development.

Department Details
HOD
Dr. Sivanantham.E
Ph.D.
-

Vision

"To emerge as a Centre of Excellence in the field of Artificial Intelligence and Machine Learning by nurturing a cognitive learning ecosystem that integrates academia, research, and industry collaboration, enabling students to develop innovative, sustainable, and intelligent solutions to address global challenges."

Mission

Department of Artificial Intelligence and Machine Learning is committed to,

  • M1: To produce next-generation professionals equipped with strong expertise in Artificial Intelligence and Machine Learning, capable of intelligent data analysis and emulating human-like decision-making.
  • M2: To develop industry-ready professionals through effective teaching–learning methodologies, hands-on training, and experiential learning practices.
  • M3: To nurture highly competent professionals with strong analytical thinking and problem-solving abilities to address real-time and real-world challenges using AI and ML technologies.

Program Educational Objectives (PEO)

  • PEO 1: Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
  • PEO 2: Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
  • PEO 3: Conduct cutting edge research and develop solutions on problems of social relevance.
  • PEO 4: Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.

Key Highlights

01

The B.E program in CSE (Artificial Intelligence and Machine Learning) offers a distinctive curriculum that integrates core principles of computer science, artificial intelligence, machine learning, data analytics, and management practices. This multidisciplinary approach equips students with both technical depth and practical insight.

02

High-performing students in the B.E – CSE (AI&ML) program receive global exposure through collaborative research initiatives, international projects, and academic exchange programs with leading institutions worldwide.

03

The program emphasizes strong industry interaction by providing opportunities such as internships, hands-on workshops, hackathons, expert lectures, and industry-driven projects. These experiences enable students to apply theoretical knowledge to real-world AI and ML challenges, effectively bridging the gap between academics and industry.

Milestones

Date Milestone
29-10-2025 N. A. Deena Dhayalan, Abishiek R. A., and Swetha A. secured First Place in XploreaThon'25 on the topic "Digital Forensics and Incident Investigation Tools"
15-07-2025 to 29-07-2025 N. A. Deena Dhayalan successfully completed the "TCS iON Career Edge – Young Professional" course
25-07-2025 N. A. Deena Dhayalan successfully completed the HP LIFE online course titled "AI for Beginners"
30-07-2025 N. A. Deena Dhayalan successfully completed the course "Ethical Hacking for Beginners"
28-07-2025 N. A. Deena Dhayalan successfully completed the course "CSS: Style Your Website"
30-07-2025 N. A. Deena Dhayalan successfully completed the course "Java Programming Language"
18-10-2025 Swetha A. secured First Place in "The Innoverse Challenge – Hackathon"
15-07-2025 to 29-07-2025 Swetha A. successfully completed the "TCS iON Career Edge – Young Professional" course
31-07-2025 Swetha A. successfully completed the course "Java Programming Language"
24-07-2025 Swetha A. successfully completed the HP LIFE online course titled "AI for Beginners"
05-08-2025 to 05-09-2025 Swetha A. successfully completed the certificate course titled "Machine Learning"

Laboratories

Operating System Lab
Database Design & Management Lab
Machine Learning Lab
Artificial Intelligence Lab
C Programming Lab
Java Technology Lab
Digital Systems Lab
Microprocessors Lab
Web Technology Lab
High Performance Computing Lab
Open Source Lab
SDN Lab

Laboratories Gallery

Content Coming Soon

Faculty details will be updated shortly.

Department Library

The library has large collection of reading materials such as books, periodicals, back volumes, project reports, theses and dissertations, and conference proceedings. In addition, the library has a collection of Tamil literature books from the year 2024 onwards.

Online Resources: Access to a wide range of e-resources including e-journals, e-databases, e-books, e-reports, e-papers, and presentations.

250
Books
-
Video Cassettes
-
CD-ROMs
-
Charts
-
Newspapers
3
International Journals
3
National Journals
Category Details
Number of Books 250
Number of Video Cassettes -
Number of CD-ROMs -
Number of Charts -
Number of Newspapers Subscribed -
Number of International Journals 3
Number of National Journals 3
Library Working Hours
8:30 AM to 3:30 PM

Content Coming Soon

Patent details will be updated shortly.

Content Coming Soon

Testing and consultancy details will be updated shortly.

Content Coming Soon

R&D academic details will be updated shortly.

Content Coming Soon

R&D activities details will be updated shortly.

Department Image

About the Department

The Department of Artificial Intelligence and Machine Learning (AI & ML), established in 2024, offers a 4-year full-time B.E. program designed to prepare students for the rapidly evolving world of intelligent technologies. The department focuses on building a strong foundation in artificial intelligence, machine learning, and data-driven decision-making. Supported by a team of well-qualified and experienced faculty members from academic and industrial backgrounds, the department promotes innovation, research, and practical learning. Modern ICT-enabled teaching tools, smart classrooms, and hands-on laboratory sessions complement traditional teaching methods to enhance student understanding.

The department aims to equip students with the skills required to design and develop intelligent systems that address real-world challenges across industries such as healthcare, finance, manufacturing, automotive, and cyber security. With an industry-oriented curriculum and exposure to advanced AI and ML tools, the department strives to nurture competent professionals ready to contribute to technological advancements and societal development.

Department Details
HOD: Dr. Sivanantham.E
Ph.D.: -

Vision

"To emerge as a Centre of Excellence in the field of Artificial Intelligence and Machine Learning by nurturing a cognitive learning ecosystem that integrates academia, research, and industry collaboration, enabling students to develop innovative, sustainable, and intelligent solutions to address global challenges."

Mission

Department of Artificial Intelligence and Machine Learning is committed to,

  • M1: To produce next-generation professionals equipped with strong expertise in Artificial Intelligence and Machine Learning, capable of intelligent data analysis and emulating human-like decision-making.
  • M2: To develop industry-ready professionals through effective teaching–learning methodologies, hands-on training, and experiential learning practices.
  • M3: To nurture highly competent professionals with strong analytical thinking and problem-solving abilities to address real-time and real-world challenges using AI and ML technologies.

Program Educational Objectives (PEO)

  • PEO 1: Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
  • PEO 2: Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
  • PEO 3: Conduct cutting edge research and develop solutions on problems of social relevance.
  • PEO 4: Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.

Key Highlights

01

The B.E program in CSE (Artificial Intelligence and Machine Learning) offers a distinctive curriculum that integrates core principles of computer science, artificial intelligence, machine learning, data analytics, and management practices. This multidisciplinary approach equips students with both technical depth and practical insight.

02

High-performing students in the B.E – CSE (AI&ML) program receive global exposure through collaborative research initiatives, international projects, and academic exchange programs with leading institutions worldwide.

03

The program emphasizes strong industry interaction by providing opportunities such as internships, hands-on workshops, hackathons, expert lectures, and industry-driven projects. These experiences enable students to apply theoretical knowledge to real-world AI and ML challenges, effectively bridging the gap between academics and industry.

Milestones

29-10-2025
N. A. Deena Dhayalan, Abishiek R. A., and Swetha A. secured First Place in XploreaThon'25 on the topic "Digital Forensics and Incident Investigation Tools"
15-07-2025 to 29-07-2025
N. A. Deena Dhayalan successfully completed the "TCS iON Career Edge – Young Professional" course
25-07-2025
N. A. Deena Dhayalan successfully completed the HP LIFE online course titled "AI for Beginners"
30-07-2025
N. A. Deena Dhayalan successfully completed the course "Ethical Hacking for Beginners"
28-07-2025
N. A. Deena Dhayalan successfully completed the course "CSS: Style Your Website"
30-07-2025
N. A. Deena Dhayalan successfully completed the course "Java Programming Language"
18-10-2025
Swetha A. secured First Place in "The Innoverse Challenge – Hackathon"
15-07-2025 to 29-07-2025
Swetha A. successfully completed the "TCS iON Career Edge – Young Professional" course
31-07-2025
Swetha A. successfully completed the course "Java Programming Language"
24-07-2025
Swetha A. successfully completed the HP LIFE online course titled "AI for Beginners"
05-08-2025 to 05-09-2025
Swetha A. successfully completed the certificate course titled "Machine Learning"

Laboratories

Operating System Lab
Database Design & Management Lab
Machine Learning Lab
Artificial Intelligence Lab
C Programming Lab
Java Technology Lab
Digital Systems Lab
Microprocessors Lab
Web Technology Lab
High Performance Computing Lab
Open Source Lab
SDN Lab

Laboratories Gallery

Content Coming Soon

Faculty details will be updated shortly.

Department Library

The library has large collection of reading materials such as books, periodicals, back volumes, project reports, theses and dissertations, and conference proceedings. In addition, the library has a collection of Tamil literature books from the year 2024 onwards.

Online Resources: Access to a wide range of e-resources including e-journals, e-databases, e-books, e-reports, e-papers, and presentations.

250
Books
-
Video Cassettes
-
CD-ROMs
-
Charts
-
Newspapers
3
Intl. Journals
3
National Journals
Number of Books
250
Number of Video Cassettes
-
Number of CD-ROMs
-
Number of Charts
-
Number of Newspapers Subscribed
-
Number of International Journals
3
Number of National Journals
3
Library Working Hours
8:30 AM to 3:30 PM

Content Coming Soon

Patent details will be updated shortly.

Content Coming Soon

Testing and consultancy details will be updated shortly.

Content Coming Soon

R&D academic details will be updated shortly.

Content Coming Soon

R&D activities details will be updated shortly.

Admissions Open Academic Year 2026-2027 || For Admission Contact :70944 66503, 9499051266 & 7824809192
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