K.Ramakrishnan College oF Engineering

Computer Science and Engineering (Artificial Intelligence and Machine learning)

About Department

B.Tech (Artificial Intelligence and Machine Learning) is a four year full time undergraduate programme started in the academic year 2021-22 with the skills to create real time applications of computer vision, generative-adversarial networks (GANs), distributed parallel computing with GPUs, and deployment of deep learning models on the cloud.

Artificial Intelligence, or AI, is a branch of computer science that emphasizes the creation of intelligent machines that behave like humans. The method of creating smart machines, also known as intelligent machines, is designed to assist in decision-making process, which is analyzed in detail using data available within an enterprise. It works in the same manner as humans do when synthesizing data and making reasonable decisions. However, in this situation, the decision is made after reviewing a large amount of data. Machine Learning is a part of artificial intelligence that allows computers to learn and develop on their own without being to be directly programmed. Machine Learning degrees educate the students on how to build self-learning computer systems by combining algorithms and statistical models. Since AI is completely changing the face of society, it is exciting to be a part of this revolutionary transition. Many people consider AI to be the skill of the century since its uses are endless.

Artificial Intelligence and Machine Learning is one of the emerging areas identified by AICTE and MHRD which can meet the upcoming requirements of the Industrial Revolution. With every company looking to introduce Artificial Intelligence in their domain, studying AI and Machine Learning opens up a world of opportunities to create cutting-edge technologies in diverse sectors, such as computer protection, image recognition, pharmacy, or face recognition. Propel your career towards a better job and salary with the most sought after expertise in the current landscape: Artificial Intelligence and Machine Learning.

Vision

To provide excellence in data science research, education and innovation with AI tools

Mission

To provide well-structured education through state of the art laboratories, dedicated faculty members and ethical values.

Faculty Achievements

Program Educational Objectives (PEOs)

Graduates will be able to:

PEO1: Excel in technical abilities to build intelligent systems in the fields of Artificial Intelligence and Machine Learning in order to find new opportunities.
PEO2: Embrace new technology to solve real-world problems, whether alone or as a team, while prioritizing ethics and societal benefits.
PEO3: Accept lifelong learning to expand future opportunities in research and product development.

Program Specific Outcomes(PSOs)

PSO1: Ability to create and use Artificial Intelligence and Machine Learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning models.
PSO2: Ability to collect, pre-process, and analyze large datasets, including data cleaning, feature engineering, and data visualization

Program Outcomes (POs)

Engineering Graduates will be able to:

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, review 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 modeling 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, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: 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 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.

Faculty Details

S.No	Name of the Staff	Qualification	Designation
1	Dr.B.Kiran Bala	M.E., M.B.A., Ph.D.,	HOD
2	S.Jagadeeswari	M.E.,	Assistant Professor
3	Ms.E.Elamathi	M.E.,	Assistant Professor
4	Mr.M.Karthik	M.E.,	Assistant Professor
5	Mr.P.Nagaraj	M.E.,	Assistant Professor
6	M.K. Mohammed Faizal	M.E.,	Assistant Professor
7	Dr.T.Suresh	M.TECH., PHD..,	Assistant Professor
8	Mrs.P.Bhavani	M.E.,	Assistant Professor
9	Mrs.S.Gayathri	M.E.,	Assistant Professor
10	Mrs.R.Kirthiga	M.E.,	Assistant Professor

Department Highlights

"Our department staff has completed the Wipro certification."

More than 200 students completed the global certification in AWS, Microsoft Azure.

"The IEI chapter has been started in our department."

"As we have signed MOUs with several companies."

"Our student P. Abinash, L. Nirup of III Year AI & DS, and P. Gilebert, S. Nivetha of IV Year AI & DS have been selected for the GUVI Internship from the Nan Mudhalvan Hackathon (Tamil Nadu Coders Premier League) event and secured a top 20 position by developing solutions for the given problems at the MIT Campus, Anna University, Chennai.

"Our students Abishiek S, Kathiravan V, Harish Chandar L, and Raphael Arumaidoss F won the first prize and a cash prize of Rs. 10,000 in the NEBULA NEST 2K24 Hackathon at M. Kumarasamy College of Engineering."

"Our students Vishwa M. R. from III Year AIML and Tamil Jeevan M. from II Year AIML are the winners of the IEI Golden Jubilee Celebration."

"The IEI chapter has been started in our department."
"Most of our staff members have completed the UHV Phase-I certification conducted by AICTE."

Placement

Students Achievements

Our students, Sachin Aariya D M, Denish Remijieus A, Mukil Subramani S G, Bhuvaneshvaran S G, and Dharnish S from the II Year AIML, won the 1st prize, which included a cash prize of ₹1000 in a workshop as part of a value-added course.
Our students, Aashika A, Kaviya T, Akshala T, Sana Fathima J, Pavithra D M, and Afsheen M from the II Year AIML, won the 2nd prize, which included a cash prize of ₹1000 in a workshop as part of a value-added course.
Our student, Afsheen M from the II Year AIML, represented the Tamil Nadu Senior Women Team (Above 17) and secured a bronze medal in the 62nd National Roller Skating Championship 2024, organized by the Roller Skating Federation of India – India Skate, held from December 5th - December 15th at VOC Park, Coimbatore, Tamil Nadu.
Our student, Afsheen M from the II Year AIML, represented the Senior Women Team (Above 17) and secured a silver medal in the 2nd India Skate Games 2024, organized by the Roller Skating Federation of India – India Skate, held from August 7th - August 11th at VOC Park, Coimbatore, Tamil Nadu, in the Roller Hockey discipline.
Our student, Afsheen M from the II Year AIML, secured a silver medal representing the Senior Women Team (Above 17) in the 34th TamilNadu Roller Skating Championship 2024, organized by the Tamil Nadu Roller Skating Association, held from November 4th - November 11th at VOC Park, Coimbatore, Tamil Nadu, in the Roller Hockey discipline.
Our student, Sivaraj T from the II Year AIML, won the 2nd prize in Mono Acting at Zen Fiesta 25, organized by Holy Cross College, Tiruchirappalli.
Our students, Moneesha P, Srilekha P K, Saambavi P, Akalya K, Mohanasri S K, and Swathi S from the II Year AIML, won the 2nd prize in Folk Dance during Pongal Fest at KRCE.
Our student, Mukil Subramani S G from the II Year, won the 1st prize during Pongal Fest at KRCE.
Our students, Karthik N, Mohamed Akram U, Mohamed Anas M, Viswa Pradap P, Mohan Raj S, Kaveeshwar A, Srinivasan B, Tamil Selvan V from the III Year, won the 2nd prize in Kabaddi at KRCE.
Our student, Sivaraj T from the II Year, won the 2nd prize in Elocution at KRCE.
Our students Srinivasan B, Sanjay Sriram R, Balamurugan S and Aravind S from II year AIML & III year AI & DS passed in Japanese Language NAT Test.
Our students, Kishore M, Nagasundar N, Msubhu V, Tamil Jeevan M, Agaramuthalvan P S, Adhiyaman K, Harish S, Hetheshsaran S, Afsheen M, Barthipa P, Dharini K, Jayashree S, Moneshaa P, Nivetha V, Saambavi P, Karthiga G, Kaviya R Y, Jeyashree J, Shubashini A, and Vidya Sri S from the III Year, won the 1st prize in March Past.

Events

Workshop on ideas to invention

The AI&DS department organized a successful "Workshop on Ideas to Invention" on August 5, 2024. The workshop featured a keynote address by a distinguished guest from DIET, Trichy, who inspired participants with insights into innovation. The event was expertly coordinated by Dr. B. Kiran Bala, HoD-AI&DS/AIML; Mrs. V. Sankari, Assistant Professor and AHoD-AI&DS and Ms. R. Dhaaraani, AHoD-AI&DS.

Association Inaugural

The Association Inaugural event, held on August 16, 2024, aimed to formally launch the student associations of the AI department. The event intended to foster a collaborative environment where students could actively participate in technical activities, workshops, and projects related to Artificial Intelligence, Data Science, and Machine Learning.

Hands on session on Artificial Intelligence

A hands-on session on Artificial Intelligence (AI) tools was successfully conducted by the Departments of AI & DS and AIML, coordinated by Ms. R. Dhaaraani and Mr. M. K. Mohamed Faizal, for the second and third-year students of National College, Trichy. The event aimed to provide practical exposure to cutting-edge AI tools and techniques, enhancing the students' technical proficiency and fostering a deeper understanding of AI applications.

Workshop on entrepreneurship and Innovation

An Entrepreneurship And Innovation workshop was successfully conducted by the Institution’s Innovation Council and Department of Artificial Intelligence And Data Science and Department of Artificial Intelligence And Machine Learning on 23.01.25 and coordinated by Ms.R.Dhaaraani and Mr.M.Ponnivalavan, coordinators of Artificial Intelligence and Data Science - Institition’s Innovation Council. This program aimed to provide a career opportunity and guidance for the students.

Institutions of Engineers(INDIA) Students Chapter Inauguration

The Students' Chapter Inauguration of IEI was successfully conducted by the Departments of AI&DS and AIML and coordinated by Mrs. P. Geetha. The event marked the beginning of a new chapter for the Institution of Engineers (India) at KRCE, with the aim of promoting engineering excellence and providing a platform for students to develop their skills and knowledge.