The Master of Engineering in Computer Science and Engineering program officially debuted in 2017. This Master's program is in its seventh year of technical excellence, with a well-designed teaching and learning processes, focused and highly qualified faculty members, cutting-edge infrastructure, and successful graduates.
The primary goal of M.E. CSE is to foster an environment that encourages intellectual growth so that people can become more technologically adept, socially conscious, and civically responsible members of society. And to make our department a Center of Excellence by generating skilled and qualified personnel and offering high-quality education. We instill in our students a strong sense of social duty, ethics, honesty, and trustworthiness.
Vision
To provide an academically conducive environment for individuals to develop as technologically superior, socially conscious and nationally responsible citizens.
Mission
To develop our department as a center of excellence, imparting quality education, generating competent and skilled manpower.
We prepare our students with high degree of credibility, integrity, ethical standards and social concern.
We train our students to devise and implement novel systems, based on Education and Research.
HOD / ME – CSE
Welcome to Department of Master of Engineering in Computer Science and Engineering. Department of Master of Engineering in Computer Science and Engineering was established in 2017. The Department seeks to combine excellence in education with service to the industry. Our vision is to provide an academically conducive environment for individuals to develop as technologically superior, socially conscious and nationally responsible citizens. Our goal is to provide students with a balance of intellectual and practical experiences that enable them to serve a variety of societal needs. In our department students are nurtured to become best software professionals as Project Managers, System Analysts or Team leaders in Industry or become Entrepreneurs in their own innovative way. I am sure in times to come; many students from our department will make indelible mark nationally and internationally in the field of Computer Science and engineering and make us proud. We are having hard-working students, a young and dynamic faculty, whose expertise spans the range of disciplines in computer science stream and a very healthy work-culture, are the basic elements that comprise the Department of Master of Engineering in Computer Science and Engineering, the hub of the institute’s academia. We hold firm belief in our ability to succeed, and we nurture an attitude of self-reliance, confidence, commitment and responsibility to the motherland that we are to serve. Such is the psychology behind the young and dynamic Master of Engineering in Computer Science and Engineering department in effect; the Department of Master of Engineering in Computer Science and Engineering believes in building career, enriching minds and provides a remarkable experience that lasts a life time.
I am confident that the students of the department would justify the credibility of the department by showing a high level of professional competence in their respective field.
| S.No | Name of the Faculty Member | Qualification | Designation |
|---|---|---|---|
| 1 | Dr. G. Manikandan | B.E., M.E., M.B.A., PGDGSIT., Ph.D.,PDF | Professor & Head |
| 2 | Ms. S.Vilma Veronica | B.E., M.E., PGDCC., Diploma in Network Specialist.,CCNA., (Ph.D). | Associate Professor |
| 3 | Ms. S. Hemalatha | B.E., M.E. | Associate Professor |
Within the Department's academic and research endeavors, the Department Library holds a special position. It is the most significant central facility that the Institute offers. When the library debuted during 2017, it included a variety of volumes. The library keeps up a top-notch selection of research papers, NPTEL videos, project reports, mini-project reports, and lecture materials. The reading area of the library is well-equipped. Both teachers and students have access to this library. Students and faculty members visit the books on a regular basis to read them.
The objective of this laboratory optimize performance by implementing various data structure operations. Create apps with dynamic programming and the Greedy, Divide and Conquer approach. Create backtracking algorithm applications by utilizing pertinent data structures.
The main objective of this laboratory is to gain knowledge about the database for storing the data and to share the data among different kind of users for their business operations.
The objective is to create models that can decide wisely in a given situation or handle particular challenges. Minimizing Manual Programming: The goal of machine learning is to lessen the requirement for explicit rule and instruction programming.
Digital image processing laboratory aims to improve visual quality, enable analysis and interpretation, and extract relevant information from images through a variety of techniques and algorithms.
The following goals influenced the development of the Software Engineering Virtual Lab: to deliver cutting-edge information on UML and software engineering in an interactive online format. Provide case studies to illustrate how various principles are applied in real-world situations.
Part of the data pre-processing that is usually required for machine learning is eliminated by deep learning. These algorithms automate feature extraction, reducing the need for human specialists, and can ingest and handle unstructured data, such as text and photos.
| S.No | Title | Name of the Faculty Member | Name of the Journal / Publication | Year of Publication |
|---|---|---|---|---|
| 1 | Multi-Features and Fuzzy with Residual Lenet for Cotton Classification using Remote Sensing Image | Dr. G.Manikandan | SCI Journal | 2024 |
| 2 | Study on the use of Polymeric Treatment with rice husk silica on direct tension behaviour and Adherence of Sisal Fibre in Cementicious Composites | Dr. G.Manikandan | SCI Journal | 2024 |
| 3 | Integrating Learning Analytics and Recommendation Model to Build Career Recommendation Model | Dr. G.Manikandan | UGC Journal | 2024 |
| 4 | QR Code Recognition Based on Image Processing | Dr. G.Manikandan | UGC Journal | 2024 |
| 5 | Smart Agriculture: Enhancing Security Through Animal Detection Via Deep Learning and Computer Vision | Dr. G.Manikandan | UGC Journal | 2024 |
| 6 | Abnormal Event Detection in Human Activity Using Deep Learning | Dr. G.Manikandan | UGC Journal | 2024 |
| 7 | Detection Of Cardiovascular Disease Using ECG Images in Machine Learning and Deep Learning | Dr. G.Manikandan | UGC Journal | 2024 |
| 8 | Sign Language Detection and Recognition Using Media Pipe and Deep Learning Algorithm | Dr. G.Manikandan | UGC Journal | 2024 |
| 9 | Malicious Social Bot Using Twitter Network Analysis in Django | Dr. G.Manikandan | UGC Journal | 2024 |
| 10 | Alzheimer Disease Using Machine Learning | Dr. G.Manikandan | UGC Journal | 2024 |
| 11 | Data Mining and Data Warehousing | Dr. G.Manikandan | GCS Publications | - |
| 12 | Artificial Intelligence for Beginners | Dr. G.Manikandan | Scientific International Publishing House | 2022 |
| 13 | Classification Accuracy of Web Traffic | Dr. G.Manikandan | Dipti Press | 2023 |
| 14 | Accumulative Genome Fuzzy Prospecting Estimation Comparative Genomic Data. Cloud Computing with Wireless Network and Pattern Recognition | Dr. G.Manikandan | Dipti Press | 2021 |
| 15 | Integrating Learning Analytics and Recommendation Model to Build Career Recommendation Model | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 16 | QR Code Recognition Based on Image Processing | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 17 | Smart Agriculture: Enhancing Security Through Animal Detection Via Deep Learning and Computer Vision | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 18 | Abnormal Event Detection in Human Activity Using Deep Learning | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 19 | Detection Of Cardiovascular Disease Using ECG Images in Machine Learning and Deep Learning | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 20 | Sign Language Detection and Recognition Using Media Pipe and Deep Learning Algorithm | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 21 | Malicious Social Bot Using Twitter Network Analysis in Django | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 22 | Alzheimer Disease Using Machine Learning | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 23 | Enhanced Wireless Network Security and Efficiency Based on Radio Fingerprint Frequency Using Machine Learning Techniques | Ms.S.Vilma Veronica | International | 2022 |
| 24 | Data Science | Ms.S.Vilma Veronica Charulatha | Publications | 2022 |
| 25 | QR Code Recognition Based on Image Processing | Ms.S.Hemalatha | UGC Journal | 2024 |
| 26 | Smart Agriculture: Enhancing Security Through Animal Detection Via Deep Learning and Computer Vision | Ms.S.Hemalatha | UGC Journal | 2024 |
| 27 | Abnormal Event Detection in Human Activity Using Deep Learning | Ms.S.Hemalatha | UGC Journal | 2024 |
| 28 | Detection Of Cardiovascular Disease Using ECG Images in Machine Learning and Deep Learning | Ms.S.Hemalatha | UGC Journal | 2024 |
| 29 | Sign Language Detection and Recognition Using Media Pipe and Deep Learning Algorithm | Ms.S.Hemalatha | UGC Journal | 2024 |
| 30 | Malicious Social Bot Using Twitter Network Analysis in Django | Ms.S.Hemalatha | UGC Journal | 2024 |
| 31 | Alzheimer Disease Using Machine Learning | Ms.S.Hemalatha | UGC Journal | 2024 |
| 32 | QR Code Recognition Based on Image Processing | Ms.S.Hemalatha | UGC Journal | 2024 |
Our department has a number of distinguished alumni are excelling in various fields of Engineering and Technology.
The Master of Engineering in Computer Science and Engineering program officially debuted in 2017. This Master's program is in its seventh year of technical excellence, with a well-designed teaching and learning processes, focused and highly qualified faculty members, cutting-edge infrastructure, and successful graduates.
The primary goal of M.E. CSE is to foster an environment that encourages intellectual growth so that people can become more technologically adept, socially conscious, and civically responsible members of society. And to make our department a Center of Excellence by generating skilled and qualified personnel and offering high-quality education. We instill in our students a strong sense of social duty, ethics, honesty, and trustworthiness.
Vision
To provide an academically conducive environment for individuals to develop as technologically superior, socially conscious and nationally responsible citizens.
Mission
To develop our department as a center of excellence, imparting quality education, generating competent and skilled manpower.
We prepare our students with high degree of credibility, integrity, ethical standards and social concern.
We train our students to devise and implement novel systems, based on Education and Research.
HOD / ME – CSE
Welcome to Department of Master of Engineering in Computer Science and Engineering. Department of Master of Engineering in Computer Science and Engineering was established in 2017. The Department seeks to combine excellence in education with service to the industry. Our vision is to provide an academically conducive environment for individuals to develop as technologically superior, socially conscious and nationally responsible citizens. Our goal is to provide students with a balance of intellectual and practical experiences that enable them to serve a variety of societal needs. In our department students are nurtured to become best software professionals as Project Managers, System Analysts or Team leaders in Industry or become Entrepreneurs in their own innovative way. I am sure in times to come; many students from our department will make indelible mark nationally and internationally in the field of Computer Science and engineering and make us proud. We are having hard-working students, a young and dynamic faculty, whose expertise spans the range of disciplines in computer science stream and a very healthy work-culture, are the basic elements that comprise the Department of Master of Engineering in Computer Science and Engineering, the hub of the institute’s academia. We hold firm belief in our ability to succeed, and we nurture an attitude of self-reliance, confidence, commitment and responsibility to the motherland that we are to serve. Such is the psychology behind the young and dynamic Master of Engineering in Computer Science and Engineering department in effect; the Department of Master of Engineering in Computer Science and Engineering believes in building career, enriching minds and provides a remarkable experience that lasts a life time.
I am confident that the students of the department would justify the credibility of the department by showing a high level of professional competence in their respective field.
| S.No | Name of the Faculty Member | Qualification | Designation |
|---|---|---|---|
| 1 | Dr. G. Manikandan | B.E., M.E., M.B.A., PGDGSIT., Ph.D.,PDF | Professor & Head |
| 2 | Ms. S.Vilma Veronica | B.E., M.E., PGDCC., Diploma in Network Specialist.,CCNA., (Ph.D). | Associate Professor |
| 3 | Ms. S. Hemalatha | B.E., M.E. | Associate Professor |
Within the Department's academic and research endeavors, the Department Library holds a special position. It is the most significant central facility that the Institute offers. When the library debuted during 2017, it included a variety of volumes. The library keeps up a top-notch selection of research papers, NPTEL videos, project reports, mini-project reports, and lecture materials. The reading area of the library is well-equipped. Both teachers and students have access to this library. Students and faculty members visit the books on a regular basis to read them.
The objective of this laboratory optimize performance by implementing various data structure operations. Create apps with dynamic programming and the Greedy, Divide and Conquer approach. Create backtracking algorithm applications by utilizing pertinent data structures.
The main objective of this laboratory is to gain knowledge about the database for storing the data and to share the data among different kind of users for their business operations.
The objective is to create models that can decide wisely in a given situation or handle particular challenges. Minimizing Manual Programming: The goal of machine learning is to lessen the requirement for explicit rule and instruction programming.
Digital image processing laboratory aims to improve visual quality, enable analysis and interpretation, and extract relevant information from images through a variety of techniques and algorithms.
The following goals influenced the development of the Software Engineering Virtual Lab: to deliver cutting-edge information on UML and software engineering in an interactive online format. Provide case studies to illustrate how various principles are applied in real-world situations.
Part of the data pre-processing that is usually required for machine learning is eliminated by deep learning. These algorithms automate feature extraction, reducing the need for human specialists, and can ingest and handle unstructured data, such as text and photos.
| S.No | Title | Name of the Faculty Member | Name of the Journal / Publication | Year of Publication |
|---|---|---|---|---|
| 1 | Multi-Features and Fuzzy with Residual Lenet for Cotton Classification using Remote Sensing Image | Dr. G.Manikandan | SCI Journal | 2024 |
| 2 | Study on the use of Polymeric Treatment with rice husk silica on direct tension behaviour and Adherence of Sisal Fibre in Cementicious Composites | Dr. G.Manikandan | SCI Journal | 2024 |
| 3 | Integrating Learning Analytics and Recommendation Model to Build Career Recommendation Model | Dr. G.Manikandan | UGC Journal | 2024 |
| 4 | QR Code Recognition Based on Image Processing | Dr. G.Manikandan | UGC Journal | 2024 |
| 5 | Smart Agriculture: Enhancing Security Through Animal Detection Via Deep Learning and Computer Vision | Dr. G.Manikandan | UGC Journal | 2024 |
| 6 | Abnormal Event Detection in Human Activity Using Deep Learning | Dr. G.Manikandan | UGC Journal | 2024 |
| 7 | Detection Of Cardiovascular Disease Using ECG Images in Machine Learning and Deep Learning | Dr. G.Manikandan | UGC Journal | 2024 |
| 8 | Sign Language Detection and Recognition Using Media Pipe and Deep Learning Algorithm | Dr. G.Manikandan | UGC Journal | 2024 |
| 9 | Malicious Social Bot Using Twitter Network Analysis in Django | Dr. G.Manikandan | UGC Journal | 2024 |
| 10 | Alzheimer Disease Using Machine Learning | Dr. G.Manikandan | UGC Journal | 2024 |
| 11 | Data Mining and Data Warehousing | Dr. G.Manikandan | GCS Publications | - |
| 12 | Artificial Intelligence for Beginners | Dr. G.Manikandan | Scientific International Publishing House | 2022 |
| 13 | Classification Accuracy of Web Traffic | Dr. G.Manikandan | Dipti Press | 2023 |
| 14 | Accumulative Genome Fuzzy Prospecting Estimation Comparative Genomic Data. Cloud Computing with Wireless Network and Pattern Recognition | Dr. G.Manikandan | Dipti Press | 2021 |
| 15 | Integrating Learning Analytics and Recommendation Model to Build Career Recommendation Model | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 16 | QR Code Recognition Based on Image Processing | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 17 | Smart Agriculture: Enhancing Security Through Animal Detection Via Deep Learning and Computer Vision | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 18 | Abnormal Event Detection in Human Activity Using Deep Learning | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 19 | Detection Of Cardiovascular Disease Using ECG Images in Machine Learning and Deep Learning | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 20 | Sign Language Detection and Recognition Using Media Pipe and Deep Learning Algorithm | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 21 | Malicious Social Bot Using Twitter Network Analysis in Django | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 22 | Alzheimer Disease Using Machine Learning | Ms.S.Vilma Veronica | UGC Journal | 2024 |
| 23 | Enhanced Wireless Network Security and Efficiency Based on Radio Fingerprint Frequency Using Machine Learning Techniques | Ms.S.Vilma Veronica | International | 2022 |
| 24 | Data Science | Ms.S.Vilma Veronica Charulatha | Publications | 2022 |
| 25 | QR Code Recognition Based on Image Processing | Ms.S.Hemalatha | UGC Journal | 2024 |
| 26 | Smart Agriculture: Enhancing Security Through Animal Detection Via Deep Learning and Computer Vision | Ms.S.Hemalatha | UGC Journal | 2024 |
| 27 | Abnormal Event Detection in Human Activity Using Deep Learning | Ms.S.Hemalatha | UGC Journal | 2024 |
| 28 | Detection Of Cardiovascular Disease Using ECG Images in Machine Learning and Deep Learning | Ms.S.Hemalatha | UGC Journal | 2024 |
| 29 | Sign Language Detection and Recognition Using Media Pipe and Deep Learning Algorithm | Ms.S.Hemalatha | UGC Journal | 2024 |
| 30 | Malicious Social Bot Using Twitter Network Analysis in Django | Ms.S.Hemalatha | UGC Journal | 2024 |
| 31 | Alzheimer Disease Using Machine Learning | Ms.S.Hemalatha | UGC Journal | 2024 |
| 32 | QR Code Recognition Based on Image Processing | Ms.S.Hemalatha | UGC Journal | 2024 |
Our department has a number of distinguished alumni are excelling in various fields of Engineering and Technology.
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