The Department of Computer Science and Engineering, which began in 1999 with 60 students, has grown substantially at Sri Manakula Vinayagar Engineering College. It now takes 300 students per year and is supported by over 50 experienced faculty members. The department provides B.Tech. in Computer Science and Engineering, M.Tech. in Computer Science and Engineering (Big Data Analytics), and Ph.D. courses. It offers a comprehensive curriculum that blends theoretical understanding with hands-on experience, including essential ideas, programming languages, algorithms, data structures, and system architecture.
Cutting-edge laboratories outfitted with current computing infrastructure enable hands-on learning and foster a culture of exploration, critical thinking, and inquiry. The department boasts exceptional academic accomplishments and good placement records, which are made possible by strong industry demands.
Vision
To create a productive learning and research environment for graduates to become highly dynamic, competent,
ethically responsible, professionally knowledgeable in the field of computer science and engineering to meet the
industrial needs on par with global standards.
Mission
M1: Quality Education: Empowering the students with the necessary technical skills through quality education to grow professionally.
M2: Innovative Research: Advocating the innovative research ideas by incorporating with industries for developing products and services..
M3: Placement and Entrepreneurship: Advancing the education by strengthening the Industry-Academic relationship through hands-on training to seek placement in the top most industries or to develop a start - ups.
.
M4: Ethics and Social Responsibilities: Stimulating professional behaviour and good ethical values to improve the leadership skills and social responsibilities.
PSO1: Computational Skills
Graduates with the ability to apply basic knowledge of Computer Science in solving
critical problems.
PSO2: Studious Research
Ability to convert innovative ideas into research or society oriented projects through
current trending technologies.
PSO3:Placement opportunities
Acquire placement in highly reputed industries or accomplish new technical business skills with the contemporary trends in the industry.
PEO1: Competitive Platform: To create a competitive platform for solving critical problems in a wide variety of
fields.
PEO2: Exploration: Enthusiastic participation in learning, understanding, designing and applying new innovative
research ideas as the field evolves.
PEO3: Career: Applying cutting-edge technology that improves knowledge and to commit students for life-long learning to reach the leading positions in the career.
PEO4: Professional Values: Simulate the graduates to hold the responsibilities in the context of technology, ethics,
society and humanity.
PO1: Engineering Knowledge:
Apply knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to solve complex engineering problems.
PO2: Problem Analysis:
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.
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.
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.
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.
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.
PO7: Ethics:
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.
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.
Welcome to the Department of Computer Science and Engineering. We are committed to providing a unique educational experience that combines theory with practical skills for industrial preparedness. Our faculty, leaders in topics ranging from AI to cybersecurity, guide students via cutting-edge research and innovation. Join our community to learn, invent, and succeed in computer science and engineering.
Our Computer Science and Engineering department at Sri Manakula Vinayagar Engineering College offers B.Tech in Computer Science and Engineering, Artificial Intelligence and Data Science, and Business Systems. We also provide M.Tech programmes in Computer Science and Engineering, Artificial Intelligence and Data Science, focusing on advanced technologies and software development.
Our department's students earned outstanding achievement in a variety of fields during the "ICON" event on October 25, 2023. BARANI, a second-year student, won first place in CODE DEBUGGING, exhibiting excellent proficiency and receiving a $1200 cash award. Additionally, Dhinesh Saravanan and Sharath won first place in MOBILE APP DEVELOPMENT, demonstrating their ingenuity and winning an 800 cash award.
Our Department of Computer Science and Engineering (CSE) has an outstanding faculty lineup of experienced professionals who are sincerely devoted to academic quality and student success. With a wealth of expertise and dedication, our faculty members guide students through a comprehensive curriculum rich in hands-on learning opportunities.
| S. No | Name of the Faculty | Designation | Qualification | Specialization |
|---|---|---|---|---|
| 1 | Dr. N. DANAPAQUIAME | Professor | PHD | Automata |
| 2 | Dr. M. GANESAN | Professor | PHD | IOT, Cloud computing, Big Data |
| 3 | Dr. N. MOGANARANGAN | Professor | PHD | Web Services, Deep Learning, Networks |
| 4 | Dr. S. SARAVANAN | Professor | PHD | Genetic Algorithm |
| 5 | Dr. LEO JOHN BAPTIST ANDREWS | Professor | Cyber Security, Machine Learning | |
| 6 | Dr. M. SHANMUGAM | Associate Professor | PHD | Augmented Reality and Virtual Reality |
| 7 | Dr. N. PAZHANIRAJA | Associate Professor | PHD | Soft Computing, Optimization |
| 8 | Dr. A. KARUNAMOORTHY | Associate Professor | PHD | Wireless Computing, IOT, Data Mining |
| 9 | Mr. P. KARTHIKEYAN | Assistant Professor | M.E | Virtual Reality, Context aware |
| 10 | Mr. B. THIYAGARAJAN | Assistant Professor | M.Tech | Digital, Microprocessor Micro Controller |
| 11 | Mr. S. KUMARAKRISHNAN | Assistant Professor | M.Tech | Machine Learning, Artificial Intelligence |
| 12 | Mrs. P. BHAVANI | Assistant Professor | M.Tech | Soft Computing, Machine Learning |
| 13 | Mr. AROKIARAJ CHRISTIAN ST HUBERT | Assistant Professor | M.Tech | Artificial Intelligence, Big Data |
| 14 | Mr. R. RAJADURAI | Assistant Professor | M.Tech | Soft Computing, Machine Learning |
| 15 | Mrs. R. THENMOZHI | Assistant Professor | M.Tech | Machine Learning, Data Mining |
| 16 | Mrs. R. PRIYA | Assistant Professor | M.Tech | Image Processing, Machine Learning |
| 17 | Mrs. R. NIJANTHY | Assistant Professor | M.E | Database Management Systems |
| 18 | Ms. S. NITHYA | Assistant Professor | M.Tech | IOT, Cloud Computing |
| 19 | Mr. D. RAJESH | Assistant Professor | M.Tech | Computer Networks, DBMS |
| 20 | Ms. V. SWATHILAKSHMI | Assistant Professor | M.Tech | Operating Systems, Software Testing |
| 21 | Mrs. S. SUBASREE | Assistant Professor | M.Tech | Wireless Computing, IOT, Data Mining |
| 22 | Mrs. S. DEEBA | Assistant Professor | M.E | Cloud Computing, Artificial Intelligence |
| 23 | Mrs. R. DEEPA | Assistant Professor | M.Tech | Internet Of Things, Machine Learning |
| 24 | Mrs. C. KARTHIKA | Assistant Professor | M.E | Network Security, Computer Networks |
| 25 | Mr. K. ANBUTHIRUVARANGAN | Assistant Professor | M.E | Machine Learning, WSN, Data Mining |
| 26 | Ms. S. SUREKA | Assistant Professor | M.Tech | Data Structure, Computer Networks |
| 27 | Ms. N. PAVITHRA | Assistant Professor | M.Tech | Data Structure, Computer Networks |
| 28 | Mrs. R. ILAMATHII | Assistant Professor | M.Tech | Data Structure DBMS, Networks |
| 29 | Mrs. M. HEMALATHA | Assistant Professor | M.Tech | Deep Learning, Computer Networks |
| 30 | Ms. P. NIRMALA DEVI | Assistant Professor | M.Tech | Cyber Security, Machine Learning |
| 31 | Ms. V. NIVETHA | Assistant Professor | M.Tech | Artificial Intelligence, IOT, Networks |
| 32 | Ms. A. AMALA MARGRET | Assistant Professor | M.Tech | Machine Learning, Deep Learning, IOT |
| 33 | Ms. V. RENU | Assistant Professor | M.Tech | Cloud Computing, Artificial Intelligence |
| 34 | Mr. R. GOVINDARAJ | Assistant Professor | M.Tech | IOT, Machine Learning, Robotics |
| 35 | Mr. S. PALANIAPPAN | Assistant Professor | M.Tech | Computer Networks, Data Structure |
| 36 | Mr. D. JAYAKUMAR | Assistant Professor | M.E | Virtual Reality, Context aware |
| 37 | Mrs. M. SIRIJA | Assistant Professor | M.Tech | Computer Networks, Data Structure |
| 38 | Mr. G. KEERTHIRAJ | Assistant Professor | M.Tech | Artificial Intelligence, IOT, Networks |
| 39 | Ms. A. MANGALAKSHMI | Assistant Professor | M.E | Operating Systems, Networks |
| 40 | Mr. A. RAGOU KUMAR | Assistant Professor | M.Tech | Machine Learning, Deep Learning |
| 41 | Mrs. D. MALADHY | Assistant Professor | M.Tech | Computer Networks, Data Structure |
| 42 | Mrs. V. INDUMATHY | Assistant Professor | M.Tech | Computer Networks, Data Structure |
| 43 | Mrs. M. MANJULA | Assistant Professor | M.Tech | Computer Networks, Data Structure |
| 44 | Ms. M. MATHIARASY | Assistant Professor | M.Tech | DBMS, Networks |
| 45 | Mrs. K. NITHYASELVI | Assistant Professor | M.Tech | Data Structure, Operating Systems |
| 46 | Ms. S. BHUVANA | Assistant Professor | M.Tech | Virtual Reality, Context aware |
| 47 | Mr. M. RAMATHILAGARAJAN | Assistant Professor | M.Tech | Artificial Intelligence, IOT, Networks |
| 48 | Mr. C. MALEAPPANE LAWRENCE | Assistant Professor | M.Tech | Data Structure, Operating Systems |
| 49 | Mr. S. SAKTHI ESWARAN | Assistant Professor | M.Tech | Machine Learning |
| 50 | Mrs. N. NITHYA | Assistant Professor | M.E | Data Structure, Operating Systems |
| 51 | Mr. S. MUHILAN | Assistant Professor | M.E | Virtual Reality, Context aware |
| 52 | Mrs. S. NITHYA | Assistant Professor | M.Tech | Data Structure, Operating Systems |
| 53 | Mrs. S. RAGAVARTHINI | Assistant Professor | M.Tech | Machine Learning |
The Department of Computer Science and Engineering has well-established computing facilities to support curriculum delivery, laboratory practice, programming, project development, research activities and advanced technology-based learning. The department utilizes multiple Computing Centres equipped with modern computing infrastructure, networking facilities and required software tools.
If you have any inquiries regarding the department, please feel free to reach out to us. We are here to assist you with any questions or information you may need.
Dr. N. Danapaquiame
Professor & Head
Department of Computer Science and Engineering
Mail Id : [email protected]
1. Why is SMVEC counted among the top CSE colleges in Pondicherry?
SMVEC is recognised among leading CSE colleges in Pondicherry for its modern computing laboratories, industry-focused curriculum, experienced faculty, and consistently strong placement performance in software and technology companies.
2. Is SMVEC considered one of the best CSE engineering colleges in Tamilnadu?
Yes, SMVEC is widely regarded as one of the best CSE engineering colleges in Tamilnadu due to its advanced teaching methods, research-driven learning environment, strong industry collaborations, and high student success rates.
3. What specialisations and programs does the CSE department at SMVEC offer?
The department offers B.Tech in Computer Science and Engineering, M.Tech in Computer Science Engineering, Big Data Analytics, and Ph.D. programs focusing on artificial intelligence, data science, software development, and emerging technologies.
4. How are placements for Computer Science students at SMVEC?
SMVEC’s CSE students benefit from dedicated placement training, technical skill development, and strong recruiter networks, leading to high placement percentages across IT services, analytics, and product-based companies.
5. What makes SMVEC different from other CSE colleges in Pondicherry?
SMVEC stands out through hands-on lab training, industry-oriented projects, research opportunities, certification programs, and a strong focus on practical skills required for modern software and technology careers.
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