K.Ramakrishnan College oF Engineering

Computer Science and Engineering

About Department

The Department of Computer Science and Engineering, established in 2008, is dedicated to delivering quality education and fostering innovation in the dynamic field of computing. The department offers a strong academic foundation through both Undergraduate (UG) and Postgraduate (PG) programs in Computer Science and Engineering, with a curriculum designed to meet industry standards and technological advancements and focuses on advanced learning, research, and innovation in specialized domains such as Artificial Intelligence, Data Science, Cyber Security, Cloud Computing, and Advanced Software Engineering, preparing students for higher studies, research, and leadership roles in the IT industry.

The department is supported by a team of highly qualified and experienced faculty members, including Wipro-certified and Virtusa-certified faculty, ensuring effective teaching and practical knowledge transfer. To strengthen industry interaction and bridge the gap between academia and industry, the department has signed Memorandums of Understanding (MoUs) with leading industries, creating opportunities for knowledge exchange, practical exposure, and collaborative learning.

To enhance students’ technical competency and employability, the department regularly conducts Value Added Courses, Industry-Oriented Training Programs, and Skill Development Programs that focus on improving industrial knowledge, technical expertise, and professional skills. These initiatives help students stay updated with the latest industry trends and prepare them for real-world challenges.

Students are encouraged to pursue global certifications such as AWS, Microsoft Azure, ServiceNow, PEGA, IBM, Java, and .NET, enabling them to gain specialized knowledge and improve their career prospects in the global technology sector. In addition, the department offers Japanese foreign language training to help students strengthen their communication skills and explore international career opportunities.

The department actively promotes internship activities, providing students with hands-on industrial exposure and opportunities to work on real-time projects. In collaboration with ICT Academy, various training programs, workshops, and skill enhancement initiatives are organized to equip both faculty and students with industry-relevant competencies and emerging technological skills.

Through continuous learning, industry collaborations, certification programs, internships, foreign language training, and experiential learning, the department strives to develop innovative, skilled, and globally competent engineers capable of meeting future technological challenges.

Vision

To create eminent professionals of Computer Science and Engineering by imparting quality education.

Mission

M1: To provide technical exposure in the field of Computer Science and Engineering through state of the art infrastructure and ethical standards.
M2: To engage the students in research and development activities in the field of Computer Science and Engineering.
M3: To empower the learners to involve in industrial and multi-disciplinary projects for addressing the societal needs.

Program Educational Objectives (PEO)

Our graduates shall

PEO1: Analyse, design and create innovative products for addressing social needs.
PEO2: Equip themselves for employability, higher studies and research.
PEO3: Nurture the leadership qualities and entrepreneurial skills for their successful career.

Program Outcomes (PO)

Engineering Graduates will be able to:

PO1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2 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.
PO3 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.
PO4 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.
PO5 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.
PO6 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.
PO7 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.
PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10 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.
PO11 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.
PO12 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.

📄 View New POs

Program Specific Outcomes(PSO)

Students will be able to

PSO1: Apply the basic and advanced knowledge in developing software, hardware and firmware solutions addressing real life problems.
PSO2: Design, develop, test and implement product-based solutions for their career enhancement.

Faculty Details

S.No	Faculty Name	Faculty Information	Photo
1	Dr. T. M. NITHYA	Designation: ASSOCIATE PROFESSOR Qualification: Ph.D. Area of Specialization: Artificial Intelligence, Deep Learning,Software Testing Experience : 13.10 Years
2	Dr. R. SRIDEVI	Designation: PROFESSOR Qualification: Ph.D. Area of Specialization: MACHINE LEARNING,, Deep Learning, network security Experience : 26 Years
3	Dr. R. LATHA	Designation: Professor Qualification: ME, Ph.D Area of Specialization: Wireless Sensor networks Experience : 19 years 5 months
4	Mr. R. SASIKUMAR	Designation: Assistant Professor Qualification: Ph.D Area of Specialization: Blockchain and Network Security, Experience:15.5 years
5	Mr. I. INFANT RAJ	Designation: ASSISTANT PROFESSOR Qualification: M.E Area of Specialization: ARTIFICIAL INTELLIGENCE Experience : 12.8 Years
6	Mrs. R. NALINI	Designation: Assistant Professor Designation: M.E.(Ph.D) Area of Specialization: Machine Learning Experience :16 years
7	Mr. K. S. GURUPRAKASH	Designation: ASSISTANT PROFESSOR Designation: M.E.,(Ph.D) Area of Specialization: Deep learning, Computer Vision Experience : 16.1 years of experience
8	Mr. T. JOHN PETER	Designation:Assistant Professor Designation: Ph. D Area of Specialization: Machine Learning & Deep Learning Experience :14 years
9	Mrs. M. SUBASHREE	Designation: Assistant Professor Qualification: M.Tech Area of Specialization: Machine Learning Experience :6 years
10	Mrs. M .RUBA	Designation: Assistant Professor Qualification: M.E Area of Specialization: Deep Learning Experience :10 years
11	Mrs. G. SURYA	Designation: Assistant Professor Qualification: M.E., B.Ed.,(Ph.D)., Area of Specialization : Image Processing Experience: 9.7 months
12	Mrs. S. SARANYA	Designation: ASSISTANT PROFESSOR Qualification: M.E Area of Specialization: Deep Learning Experience : 13.2 Years
13	Ms. R.ABIRAMI	Designation: Assistant professor Designation: M.E., Area of Specialization: IoT Experience : 4.8 years
14	Mrs. M. KAVITHA	Designation: ASSISTANT PROFESSOR Designation: ASSISTANT PROFESSOR M.E (Ph.D) Area of Specialization: Deep learning Experience : 9.5 years
15	Mr. K. SWAMINATHAN	Designation: ASSISTANT PROFESSOR Qualification: B.E.,M.E.,MBA.,(Ph.D)., CSE Area of Specialization: ML & DL Experience : 15.6 Years
16	Mrs. R. NANDHINI	Designation: ASSISTANT PROFESSOR Qualification: M.E/CSE.,(PHD) Area of Specialization: Network security Experience : 4 years 5 month
17	Mrs. K. REVATHI	Designation: Assistant Professor Qualification: M.E., Area of Specialization: Machine Learning Experience :12 years
18	Mr. P. KASTHURI RENGAN	Designation: ASSISTANT PROFESSOR Qualification: M.E., (Ph.D) Area of Specialization: Deep learning Experience : 11 years 5 months
19	Mrs. N. NITHYA	Designation: Assistant professor Qualification: M.E CSE Area of Specialization: Machine Learning Experience : 5 years
20	Mrs. S. RAJESWARI	Designation: ASSISTANT PROFESSOR Qualification: M.E., Area of Specialization: Machine learning Experience : 3 years 6 months
21	Mr.Y.AROCKIA JEUSRAJ	Designation: ASSISTANT PROFESSOR Qualification: M.Sc.M.Tech., Ph.D Area of Specialization: Machine learning, deep learning Experience : 22 years
22	R. INDRADEVI	Designation: AP/CSE Qualification: M. E Area of Specialization: Cloud computing Experience : 10 months
23	P.SIVAMALAR	Designation: Assistant Professor Qualification: M.E., Area of Specialization: Machine learning Experience : 16

Department Highlights

Program Highlights – Computer Science and Engineering

Industry Collaboration & MoUs:

The department has signed Memoranda of Understanding (MoUs) with several reputed organizations to enhance student opportunities in internships, placements, and industry-oriented training. The key companies include:

Amizhth Techno Solutions Pvt. Ltd.
Icanio Technology Labs Pvt. Ltd.
Protowiz Private Pvt. Ltd.
Smackcoders Technologies Pvt. Ltd.
Techaffinity Pvt. Ltd.
Shalom Infotech
Ozone Cyber Security
iSysway Technologies
Stuboard

These MoUs facilitate internship opportunities, placement support, industrial training, skill development programs, guest lectures, and real-time project exposure, thereby bridging the gap between academic learning and industry requirements.

Laboratory Infrastructure:

State-of-the-art laboratory infrastructure worth Rs. 1.18 Crores.
Well-equipped laboratories supporting programming, system design, networking, databases, and software development.
Specialized labs include Operating Systems Lab, Compiler Design Lab, Data Structures Lab, Project Lab, PG Lab, and Computer Practice Lab.

Industry Collaboration:

Signed MoUs with leading industries to bridge the gap between academia and industry.
Conducts Value Added Courses, Industry-Oriented Training, and Internship Activities to enhance students' employability.
Collaboration with ICT Academy for skill development and training.
No of MOU signed with Industry : 10

Faculty Excellence:

Department has Wipro-certified and Virtusa-certified faculty members.
More than 70% of the faculty members are pursuing doctoral degrees, reflecting the department's strong commitment to academic excellence and research development.
Faculty actively contribute to certifications, research publications, and industry-based learning initiatives.
Strong focus on mentoring students for NPTEL, AWS, Azure, ServiceNow, PEGA, IBM, Java, and .NET certifications.

Student Development:

Students are trained in Japanese foreign language to enhance global career opportunities.
Regular participation in hackathons, symposiums, coding contests, and technical events with notable achievements.

Research Publications:

Department Research Metrics:

Citations : 2356
h-Index : 22
i10-Index : 48

2024-2025

SCI Publications : 7
Scopus Publications : 8
Scopus Indexed Conferences : 36

2025-2026

SCI Publications : 14
Scopus Publications : 4
Scopus Indexed Conferences : 67

Patents and Intellectual Property Rights:

2024-2025

Published Patents : 24
Granted Patents : 6
Copyrights : 2

2025-2026

Published Patents : 14

Fund Received:

Total Amount Received: ₹1,07,500

Received ₹50,000 for successful completion of CSR Women Empowerment Program on .NET Technologies from ICT Academy in association with DXC Technologies.
Received ₹25,000 for successful completion of CSR Women Empowerment Program on Tech4 All for All from ICT Academy in association with Cognizant Foundation.
Received ₹12,500 for successful completion of CSR Training Program on Advanced IT Skills from ICT Academy in association with IBM.
Received ₹20,000 from Naan Mudhalvan Scheme.

Placement & Career Support:

Strong Placement Record:

Students are placed in reputed organizations such as:

Infosys
Cognizant (CTS)
Accenture
Zoho
LTIMindtree
HCL Technologies
VDart
Inspire
KGIS
Glow Logics
Vertical Solutions
ILM
Terv Pro
Propel Soft
Hello Send
Edu-Versity
Suguna Foods
VEI Technologies

Placement

The Department of Computer Science and Engineering at K. Ramakrishnan College of Engineering proudly celebrates the placement success of the 2022–2026 batch. Ms. S. R. A. Lakshmithra, Ms. S. Anusha, Ms. K. Vishwapriya, Ms. N. Sarumathi, Ms. T. Sri Ramana Manjari, Mr. V. Hari Kumaran, Ms. J. Nisha, and Ms. T. Yugabharathi have been successfully placed in Cognizant.This achievement reflects the students’ dedication, skills, and consistent efforts.

The Department of Computer Science and Engineering at K. Ramakrishnan College of Engineering proudly congratulates the following students of Batch 2022–2026 for securing placement at Mensagam as Full Stack Developer Trainees. Heartiest congratulations to Mr. M. Hariharan, Mr. E. Sanjai, Mr. R. Vetriventhan, and Mr. S. Kishore for achieving this milestone through their dedication and technical excellence.We also extend our sincere appreciation to Ms. S. Mukhashree, Mr. K. Mohamed Faisal, Ms. S. Mahalakshmi, and Ms. S. Abinaya Sree for their successful placement in the same organization.

CSE Students LTIMindtree and Cognizant Placement

Heartiest congratulations to Sarubala M, Sriswasthika, Suvetha T A, and Vaishnavi S A were placed with an impressive package of 6.75 LPA.
Meikeerthy L and Noor Rahman S received multiple job offers from LTIMindtree and Cognizant Technology Solutions (CTS).

The Department of Computer Science and Engineering at K. Ramakrishnan College of Engineering proudly congratulates Mr. R. Naresh (Batch 2022–2026) on securing an internship at RheinBrücke. This achievement reflects his strong technical foundation, consistent hard work, and commitment to professional growth. Securing an internship at a reputed organization like RheinBrücke is a significant milestone that will provide valuable industry exposure and hands-on experience in real-world projects.

Jeyasri J and Sruthiha G received placement offers from both LTIMindtree and Infosys.
Kaussar A successfully obtained an internship with a full-time offer at Matrimony.com and also received an additional offer from CTS.
Abishek Khanna, Gowtham K, Kaussar A, and Vaishnavi S A received internship cum placement offers from Matrimony.com with an annual package of 5 LPA.

CSE Students Placement at Matrimony and Other Companies

Poshika K K secured dual offers from LTIMindtree and FocusR.
Hamshika S and Mukhashree S were placed at FocusR with a package of 3 LPA.

Gnanapriya K received a prestigious offer from HashedIn with a package of 8.12 LPA.

CSE Students Placed at Hexaware Technologies

Anusha, Divya S, Roobis C, and Shyamala P were placed at Hexaware Technologies with a package of 4 LPA.

Mokitha N, Pradeesha S, Ranjitha Priya G, Reyaa P, Shandya S, and Yugabharathi T secured placements at Infosys with a package of 3.6 LPA.
Umar Farook M and Yuvaraj R were placed at KAAR Technologies with an annual package of 6.5 LPA.

CSE Students Placed at KAAR Technologies

Arjun S, Bharani B, Darnia J, Fiza Begum M, Harish V, Janani P, Jayanthan A K, Jones J, Kiruthik Roshan K S, Mohanraj P V, Monisha A, Mathew Joshwa J, Priyadharshini S, Sakthipriya M, Selva Kumar P, Selvakumar T, Venkatesh R K, and Vishnusankar M B were successfully placed at LTIMindtree with an annual package of 4 LPA.

Uvajanani R P secured a Zoho internship and also received a placement offer from CodingMart with an annual package of 4 LPA.

CSE Student Zoho Internship and CodingMart Placement

Uvajanani R P secured a Zoho internship and also received a placement offer from CodingMart with an annual package of 4 LPA.

Mr. N. S. Namasivayen, Mr. K. M. Mohamed Faaris, Mr. M. Mohamed Abu Bakkar, Mr. A. Aadhikesav, and Mr. S. Antony Godwin, Batch 2023–2027, have secured internship opportunities at ZOHO.
Hearty congratulations to Aadhikesav A, Antony Godwin S, Mohamed Abu Bakkar M, Mohamed Faaris K M, and Namasivayen N S for the successful completion of their internship at ZOHO Corporation Ltd. Their dedication, enthusiasm, and pursuit of excellence are highly appreciated.

CSE Students Internship at Softsquare Solutions

We are happy to announce that our department students Ms. Kanmani Sridhar and Mr. N. Anantha Krishnan have secured prestigious placements in Japan.

We are happy to announce that our department students Ms. Kanmani Sridhar and Mr. N. Anantha Krishnan have secured prestigious placements in Japan.

The institution proudly congratulates Ms. S. Priyadharshini, Ms.S.Mahalakshmi and Ms.A.N.Akila for their successful placement in ShikshaVertex. Their achievement reflects strong determination, technical excellence, and consistent effort.

CSE Students Placed at Tata Consultancy Services

Mr.C.Roobis and Mr.K.S.Kiruthiick Roshan was placed in Tata consultancy Services.The institution extends its heartfelt congratulations to the students on their successful placements. This milestone marks the beginning of a promising professional journey built on dedication and determination.

CSE Student Placed at Riso Kagaku Corporation Japan

We are delighted to share that Ms. Sarooba has been successfully placed in Riso Kagaku Corporation,Japan.She demonstrated great determination by traveling to Japan to attend the interview, showcasing her confidence and commitment.

Ms. A. Sharubalah, Ms. P. Janani, Mr. S. Noor Rahman, and Mr. R. Naresh have been successfully placed in Tata Consultancy Services.
The institution proudly extends its heartfelt congratulations on this significant achievement.

The institution proudly congratulates Mr. M. Kamesh, Mr. K. Mithun, Ms. S. Hamshika, Mr. S. Natanesh, Mr. S. Arjun, Ms. A. Gunapriya, Ms. G. D. Shanmugapriya,Ms.S.B.A.Lakshamithra,Ms.A.Anusha, on their successful placement in Cognizant. Their achievement reflects strong determination, technical excellence, and consistent effort.

The institution proudly congratulates Mr. M. Kamesh, Mr. K. Mithun, Ms. S. Hamshika, Mr. S. Natanesh, Mr. S. Arjun, Ms. A. Gunapriya, Ms. G. D. Shanmugapriya,Ms.S.B.A.Lakshamithra,Ms.A.Anusha, on their successful placement in Cognizant.Their achievement reflects strong determination, technical excellence, and consistent effort.

Laboratories

Lab 1: Operating Systems Laboratory

Total Cost of the Lab: Rs. 24,582,035 Area: 98.10 Sq.m

The Operating Systems Laboratory provides students with practical exposure to the fundamental concepts of operating systems, enabling them to understand process management, memory management, file systems, CPU scheduling, and system calls. The lab offers hands-on experience in implementing and analyzing various operating system algorithms, helping students bridge the gap between theoretical knowledge and practical application.

Outcomes of the Laboratory:

The Operating Systems Laboratory aims to equip students with practical knowledge and technical skills in understanding the core functionalities of operating systems. It enables students to design, simulate, and evaluate operating system concepts such as process synchronization, deadlock handling, memory allocation, disk scheduling, and file management. Through this laboratory, students gain expertise in system-level programming, resource management, and problem-solving, preparing them for real-world software development and system administration challenges.

Lab 2: Compiler Laboratory

Total Cost of the Lab: Rs. 3,74,400 Area: 136.75 Sq.m

The Compiler Laboratory provides students with hands-on experience in understanding the fundamental concepts of compiler construction and language processing. The lab enables students to analyze, design, and implement various phases of a compiler such as lexical analysis, syntax analysis, semantic analysis, code generation, and optimization. It helps students gain practical knowledge in transforming high-level programming languages into machine-level instructions.

Outcomes of the Laboratory:

The Compiler Design Laboratory aims to equip students with practical knowledge and technical skills in the design and implementation of compilers. It enables students to understand and apply concepts such as tokenization, parsing, symbol table management, intermediate code generation, error handling, and code optimization. Through this laboratory, students develop problem-solving abilities and gain expertise in programming language processing, preparing them for advanced software development and system-level programming.

Lab 3: Project Laboratory

Total Cost of the Lab: Rs. 4,095,072 Area: 194.72 Sq.m

The Project Laboratory provides students with an opportunity to apply their theoretical knowledge and technical skills to real-time projects. The lab encourages students to work on innovative ideas, develop software solutions, and implement emerging technologies to solve practical problems. It fosters creativity, teamwork, and research-oriented learning while enabling students to gain hands-on experience in project development and management.

Outcomes of the Laboratory:

The Project Laboratory aims to equip students with practical exposure in planning, designing, and developing projects based on industry and societal requirements. It enhances students’ problem-solving abilities, analytical thinking, teamwork, and technical competency through real-time implementation. Through this laboratory, students gain expertise in project lifecycle management, documentation, testing, and deployment, preparing them for professional careers, entrepreneurship, and higher studies.

Lab 4: PG Laboratory

Total Cost of the Lab: Rs. 47,77,500 Area: 180.26 Sq.m

The PG Laboratory is designed to provide postgraduate students with advanced practical exposure in specialized areas of Computer Science and Engineering. The lab facilitates research-oriented learning and hands-on experience in emerging technologies such as Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, Cyber Security, and Advanced Software Engineering. It enables students to explore innovative solutions, perform experiments, and develop advanced applications aligned with current industry and research demands.

Outcomes of the Laboratory:

The PG Laboratory aims to enhance students’ analytical, research, and technical skills by providing an environment for advanced experimentation and project development. It enables students to apply theoretical concepts to real-world challenges, conduct in-depth research, and develop innovative solutions in specialized domains. Through this laboratory, students gain expertise in advanced tools, technologies, and methodologies, preparing them for research, higher studies, and leadership roles in the IT industry.

Lab 5: Data Structures Laboratory

Total Cost of the Lab: Rs. 47,77,500 Area: 87.33 Sq.m

The Data Structures Laboratory provides students with practical exposure to the implementation and application of various data structures. The lab enables students to understand, analyze, and implement linear and non-linear data structures such as arrays, linked lists, stacks, queues, trees, graphs, and hashing techniques. It helps students strengthen their programming skills and develop efficient problem-solving techniques for real-world applications.

Outcomes of the Laboratory:

The Data Structures Laboratory aims to equip students with practical knowledge and technical skills in designing and implementing data structures for efficient data storage and processing. It enables students to understand concepts such as searching, sorting, recursion, dynamic memory allocation, tree traversals, graph algorithms, and optimization techniques. Through this laboratory, students develop analytical thinking, logical reasoning, and programming expertise, preparing them for advanced software development and competitive problem-solving.

Lab 6: Computer Practices Laboratory

Total Cost of the Lab: Rs. 11,834,810 Area: 87.325 Sq.m

The Computer Practices Laboratory provides students with foundational practical exposure to computer programming and software applications. The lab is designed to strengthen students’ understanding of programming concepts, problem-solving techniques, and the effective use of computing tools. It offers hands-on training in programming languages, office automation tools, and basic software development practices, enabling students to build a strong technical base.

Outcomes of the Laboratory:

The Computer Practice Laboratory aims to equip students with essential programming skills, logical thinking, and problem-solving abilities. It enables students to gain practical knowledge in coding, debugging, and implementing basic algorithms while improving their familiarity with computer systems and software tools. Through this laboratory, students develop confidence in applying computing concepts, preparing them for advanced technical courses and real-world applications.