K.Ramakrishnan College oF Engineering

Artificial Intelligence and Data Science

About Department

B.Tech (Artificial Intelligence and Data Science) is a four-year full time undergraduate programme started in the academic year 2020–21, equipping students with the skills to perform intelligent data analysis and imparting knowledge of advanced innovations like artificial intelligence, data science, machine learning, deep learning and natural language processing.

Artificial Intelligence and Data Science is one of the emerging areas out of 10 special categories identified by AICTE and MHRD which can meet the upcoming requirements of the Industrial Revolution. The industries and businesses all over the world have been undertaking massive projects to radically modify their enterprise software systems by integrating Artificial Intelligence techniques coupled with Data Analytics.

Vision

To excel in education, innovation, and research in Artificial Intelligence and Data Science to fulfil industrial demands and societal expectations.

Mission

M1: To educate future engineers with solid fundamentals, continually improving teaching methods using modern tools.
M2: To collaborate with industry and offer top-notch facilities in a conducive learning environment.
M3: To foster skilled engineers and ethical innovation in AI and Data Science for global recognition and impactful research.
M4: To tackle the societal challenge of producing capable professionals by instilling employability skills and human values.

Faculty Achievements

Mrs. V. Sankari has successfully completed the Java Certification from Infosys Springboard.
Most of the faculty members have successfully completed the UHV-I and UHV-II programs conducted by AICTE.
All the faculty members have completed NPTEL courses every semester.

Program Educational Objectives (PEOs)

PEO1: Compete on a global scale for a professional career in Artificial Intelligence and Data Science.
PEO2: Provide industry-specific solutions for the society with effective communication and ethics.
PEO3: Enhance their professional skills through research and lifelong learning initiatives.

Program Specific Outcomes(PSOs)

PSO1: Capable of finding the important factors in large datasets, simplify the data, and improve predictive model accuracy.
PSO2: Capable of analyzing and providing a solution to a given real-world problem by designing an effective program.

Program Outcomes (POs)

Engineering Graduates will be able to:

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)

Faculty Details

S.No	Name of the Staff	Qualification	Designation	Email ID
1	Dr. B. KIRAN BALA	Associate Professor & Head	M.E., M.B.A., Ph.D.,	kiranbalabcse@krce.ac.in
2	Mrs. V. SANKARI	Assistant Professor	M.E., (Ph.D).,	sankariv.ai@krce.ac.in
3	Ms. R. DHAARAANI	Assistant Professor	M.Tech.,	dhaaraanir.ai@krce.ac.in
4	Mr. M. PONNI VALAVAN	Assistant Professor	M.E.,	ponnivalavanm.ai@krce.ac.in
5	Mrs. P. GEETHA	Assistant Professor	M.E.,	geethap.ai@krce.ac.in
6	Mrs. J. CHITRA	Assistant Professor	M.E.,	chitra.ai@krce.ac.in
7	Mrs. C. RANI	Assistant Professor	M.E.,	rani.ai@krce.ac.in
8	Mrs. M. KAVITHA	Assistant Professor	M.E.,	kavitham.ai@krce.ac.in
9	Mrs. C. MUTHUSELVI	Assistant Professor	M.E.,	muthuselvi.ai@krce.ac.in
10	Mrs. G. ASHA	Assistant Professor	M.E.,	ashag.ai@krce.ac.in
11	Mrs. G. ISWARYA	Assistant Professor	M.E., (Ph.D).,	iswaryag.ai@krce.ac.in

Department Highlights

Laboratory Infrastructure

The laboratory is equipped with advanced, high-performance computer systems to support a wide range of academic and technical activities. It includes various software tools for programming, simulation, and data analysis, enabling hands-on learning. The lab provides an efficient environment that fosters innovation and practical skill development.

Faculty Excellence

Faculty members actively contribute to research publications, patents, funded projects, consultancy, and professional activities.

Research Publications

S.No	Publications	Publication Count
1	SCI	11
2	Scopus	19
3	Conference	134

Patents

2022–2023:
- Patent Published: 6
2023–2024:
- Patent Published: 13
- Patent Granted: 3 (Including 1 Foreign Patent)
2024–2025:
- Patent Published: 6
- Patent Granted: 1 (Foreign Patent)
2025–2026:
- Patent Published: 15
- Patent Granted: 5 (Foreign Patent)

Funding & Consultancy

Academic Year	Name of the Proposal	Name of the Funding Agency	Amount (Rs)	Total Amount (Rs)
2021-2022	Hackathon	HILIFE.AI Pvt. Ltd.	20,000	70,000
2021-2022	Gate Awareness Program	Unacademy	50,000	70,000
2023-2024	E-Sevai	E-Sevai	2,69,220	2,69,220
2024-2025	ICT Training for School Teacher	District Institute of Educational Training (DIETs)	22,000	97,980
	ICT Training for School Teacher	District Institute of Educational Training (DIETs)	43,800
	ICT Training for School Teacher	District Institute of Educational Training (DIETs)	6,880
	National College – Delivering Hand-on Session	National College, Tiruchirappalli, Tamil Nadu	7,800
	Workshop Conducted on Problem-Solving and Ideation	ISYSWAY TECHNOLOGIES	10,000
	Project Title - Automated Film Censorship Rating (AFCR)	TNSCST Student Project	7,500
2025-2026	ICT Training for School Teacher	District Institute of Educational Training (DIETs)	19,040	1,65,800
	ATAL ONLINE FDP - AI-Driven Solutions for Sustainable Development: A Faculty Development Perspective	AICTE ATAL ONLINE FDP	1,00,000
	Workshop Conducted - Next-Gen Healthcare: Quantum-Enhanced Generative AI for Smart and Sustainable Systems	Institution of Engineers (India) (IEI)	40,000
	ICT Training for School Teacher	District Institute of Educational Training (DIETs)	6,760

Certifications

Our students have successfully completed NPTEL certifications and also globally recognized certification programs from

Microsoft Azure
Amazon Web Services

S.No	Certifications	Completed Count
1	Microsoft Azure & Amazon Web Services	244
2	NPTEL	325

Industry Collaboration

Five MoUs have been signed with well-established companies.
Strong industry–academia collaborations enable internships, industrial visits, expert lectures, and joint projects.
Value-added courses offer hands-on practical exposure.
Continuous interaction with industry experts enhances students’ technical competencies and employability skills.

Placement

Laboratories

Electric Circuits and Electronic Devices Lab

Data Science Lab

A well-equipped Data Science lab features high-configuration systems designed to support advanced computing tasks such as programming, data analysis, and multimedia applications. It is installed with a wide range of software, including development tools, office suites, and specialized applications for academic and research purposes. The lab provides a reliable and efficient environment that enhances practical learning and technical skills.

Data Science Lab

Students Achievements

Academic

Cultural

Sports

Our student Megha IV AI&DS got third place in the YouthTalk Trichy district-level competition.
21 students have completed N5, and 4 students have completed N3 in the Japanese exam.

Events

Association Inauguration

The Departments of Artificial Intelligence and Data Science & Artificial Intelligence and Machine Learning proudly organized the inaugural ceremony of their joint association "INTELLIGENTS" on 28th July 2025. This initiative marked a significant milestone in fostering interdisciplinary collaboration, innovation, and community building among students and faculty passionate about intelligent systems and emerging technologies. The event commenced with a warm welcome address, followed by the ceremonial lighting of the lamp, symbolizing the illumination of knowledge and wisdom. Distinguished guests, including Dr. A. Amalan Joseph Antony, Assistant Professor, Department of Computer Science and Engineering, IIITDM, Kancheepuram.

Guest Lecture

The Departments of Artificial Intelligence and Data Science (AI&DS) and Artificial Intelligence and Machine Learning (AIML) jointly organized a Guest Lecture on 14th August 2025, aimed at enhancing students' knowledge of emerging trends in Artificial Intelligence. The session was delivered by Mr. V. Vairavan, Professor, MSOE University, USA and Mr. S. Nargunam, Founder and Managing Director, Excel Die Castings, Thirumudivakkam, Chennai, who shared valuable insights on "Tools and Skills to Harness AI: A No-Code Approach" and "How to Become a Successful Entrepreneur", highlighting real-world applications, challenges, and future opportunities in the field.

Workshop on Ideas to Invention

The AI&DS department organized a successful "Workshop on ICT Training for School Teachers" 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 Inauguration

The Association Inauguration event, held on August 16, 2024, aimed to formally launch the student associations of the AI & DS 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.

UpGrad Student Induction Program

The Department of Artificial Intelligence and Data Science of K. Ramakrishnan College of Engineering, Trichy, conducted their UpGrad Students' Induction Program for first-year students on 17.10.24. Mr. Sachin Bantwal, Director of Customer Success, Mrs. Harini Thangaraj, an expert in customer success and growth, and Mr. Praveen Ramesh, Program Manager, served as the resource persons. Mr. Sachin Bantwal is a highly accomplished professional with over 18 years of an illustrious career spanning various industries and domains.

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 – Institution's Innovation Council. This program aimed to provide a career opportunities and guidance for the students.

News letter

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