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ISR
Department of Computer Science Engineering
About Department
The Department of CSE(Artificial Intelligence and Machine Learning)established in the year 2022 offers one Bachelor Programme in the stream of Artificial Intelligence and Machine Learning. The UG Programme’s curriculum and syllabus are periodically reviewed/re-framed in pace with global scenario in the domain of Artificial Intelligence and Machine Learning . The Bachelor Programme curriculum comprises major thrust areas like Deep Learning, Design thinking and innovation, Natural Language Processing, Augmented and Virtual Reality which are all on par with industrial standards. The smart classroom and laboratory facilities provides supportive environment for the students and faculty members. The well-structured curriculum and proper placement training help the students to place in government and private sectors.
Programmes Offered
Vision
To produce competent software professionals, academicians and researchers through Quality Education.
Mission
The PEOs of UG Programme
The POs of UG Programme
The PSOs of UG Programme
Contact Details
Professor & Head
AICTE Faculty ID: 1-461678163 | College ID: CTITF007
Mail-ID:[email protected], [email protected]
Dr.C.Rajan is a Professor and Head of the CSE (AIML) department at K. S. Rangasamy College of Technology, Namakkal, Tamil Nadu. He is having 20 years of experience in Academic and Research. He completed his B.E. Computer Science and Engineering in Sri Sivasubramaniya Nadar College of Engineering and M.E. Computer Science and Engineering. His Ph.D., from Anna University, Chennai. He have published over 75 research papers, authored five books, and holds a patent. He has received several awards, including Best faculty Award in 2021,2022,2023 and FAER Scholar Award in 2023. His research interests includes Soft computing, Network Security, and Machine Learning.
Associate Professor
Cryptography, Cloud Computing
Data Mining
Assistant Professor
Database Management System
Database Management Systems, Operating System and Machine Learning
Data Structures,Computer Networks and Machine Learning
Network Management System ,Agile model, JIRA
Computer Networks, Operating System
Computer Networks
AICTE Faculty ID: 1-461642827 | College ID:CTCSF017
Mail-ID: [email protected]
Dr. R.Gopinath received the B.E.(Computer Science and Engineering) degree in the year 2001, M.E.( Computer Science and Engineering) degree in the year 2005 and Ph.D. degree in the year 2017. He is working as an Associate Professor in the Department of CSE(Artificial Intelligence and Machine Learning), K.S.Rangasamy College of Technology (Autonomous), Tiruchengode. He has 19 years of teaching experience.He has published papers in 06 International Journals and 06 International Conference. His areas of research interest include Cryptography, Cloud Computing and Cyber security. His is an active member of ISTE and IAENG
AICTE Faculty ID:1-7501819748 | College ID:CTCSF027
Mail-ID:[email protected]
Dr. P. Manimaran working as an Associate Professor in the Department of CSE(Artificial Intelligence and Machine Learning) K.S.Rangasamy College of Technology. He has received his M.E degree and Ph.D from Anna University. He has a teaching experience of 17 years in total. His research interested in Data Mining. He has published more than 5 papers in International Journals and 14 papers in Conferences. He has filed 2 patents and published it. He has delivered guest lectures to reputed institutions.
Network Management System ,Agile model, JIRA.
AICTE Faculty ID: 1-461677663 | College ID:CTAMF002
V.Thamizharasu is an Assistant Professor in the Department of CSE(Artificial Intelligence and Machine Learning) in K.S.Rangasamy College of Technology. He has received first class in B.E and M.E Degree from Anna University, Chennai. He has industrial experience of 2.7 yrs in MNC and teaching experience of 3 Years
AICTE Faculty ID: 1-43483591704 | College ID: CTAMF003
Mr. K. Praveen is an Assistant Professor in the Department of CSE(Artificial Intelligence and Machine Learning), K.S.Rangasamy College of Technology. He received his M.E degree from Anna University, Chennai. With a total teaching experience of 1.6 years. His research interests primarily revolve around Artificial Intelligence and Natural Language Processing (NLP). He has contributed to academia with publications including 1 paper in an International Refered Journal and 1 paper presented in an International Conference
AICTE Faculty ID: 1-44634575268 | College ID:CTAMF004
Ms. Harshini R P is an Assistant Professor in the Department of CSE(Artificial Intelligence and Machine Learning), K.S.Rangasamy College of Technology. She received her M.Tech degree from Kongu Engineering College. Her project primarily revolves around deep learning. She has contributed to academia with publications including 1 paper at an International Conference (Springer)
Database Management Systems, Operating System
AICTE Faculty ID:1-44634447239 | College ID: CTAMF005
Ms. C.Janani is an Assistant Professor in the Department of CSE(Artificial Intelligence and Machine Learning) at K.S.Rangasamy College of Technology, with a rich academic background coupled with 12 years of Teaching Experience. She holds a Master’s Degree in Computer Science and Engineering from Anna University. Her research interests primarily revolve around Computer Network Security, as evidenced by her contributions to numerous international journals. She has contributed to academia with publications, including three papers in International Journals and six papers presented at an International and National Level Conference.
AICTE Faculty ID: 1-44634596016 | College ID:CTAMF008
Mrs.M.S.Indumathi is an enthusiastic, positive and adaptive individual with a strong background in computer science. She has completed her Bachelor's degree and Master's degree in Computer Science Engineering. Her areas of interest include data structures and computer networks. As a quick learner and an excellent team player, she consistently strives to contribute to the growth and development of the department and the institution. Passionate about teaching and research, she is committed to providing high-quality education to her students.
Data Structures and Computer Networks
AICTE Faculty ID:1-43504595574 | College ID:CTAMF006
Mr. Insol Rajasekar S is an Assistant Professor in the Department of Artificial Intelligence and Machine Learning at K.S.Rangasamy College of Technology. With a rich academic background and 10 years of teaching experience, he holds a Master’s Degree in Information Technology from B.S. Abdur Rahman University. He is currently pursuing a Ph.D. in Machine Learning and Wireless Sensor Networks at Anna University, Chennai. His research interests primarily revolve around machine learning and wireless sensor networks. His teaching interests encompass subjects such as the Internet of Things and its applications, machine learning, design thinking, and exploratory data analysis. He has contributed to academia by presenting papers at both international and national conferences.
AICTE Faculty ID: 1-11329880622 | College ID:CTAMF010
Ms.G.Suthi is an Assistant Professor in the Department of AI&DS, K.S.Rangasamy College of Technology. She received her Master degree from K.S.Rangasamy College of Technology. Her project primarily revolves around Deep Learning. She has contributed to academia with publications including 1 paper at an International Conference
AICTE Faculty ID: 1-4248308277 | College ID:CTAMF009
Mr.D.Balakrishnan is an Assistant Professor in the Department of AI&DS at K.S.Rangasamy College of Technology. With a rich academic background and 11 years of teaching experience, he holds a Master’s Degree in Computer Science and Engineering from Maharaja Institute of Technology. He is currently pursuing a Ph.D. in Machine Learning and Deep Learning at Anna University, Chennai. His research interests primarily revolve around healthcare in machine learning and deep learning. His teaching interests encompass subjects such as the Data Structures and Algorithms, Machine Learning, Theory of Computation, and Deep Learning. He has contributed to academia by presenting papers at both International and National Conferences.
Data Structures and Artificial Intelligence
AICTE Faculty ID:1-44634596030 | College ID:CTAMF007
Mrs. R.S. Sivaranjani is an enthusiastic, positive and adaptive individual with a strong background in computer science. She has completed her Bachelor's degree in Computer Science Engineering and Master's degree in Computer Science. Additionally, she worked as a Junior Software Engineer at Sopra Steria for one and a half years, where she gained valuable industry experience. Her areas of interest include data structures and artificial intelligence. As a quick learner and an excellent team player, she consistently strives to contribute to the growth and development of the department and the institution. Passionate about teaching and research, she is committed to providing high-quality education to her students.
Programmer
[email protected]
Lab Attender
Lab Assistant
Under Graduate - B.E CSE(Artificial Intelligence and Machine Learning)
About Association
The Department of CSE (Artificial Intelligence and Machine Learning) at K.S. Rangasamy College of Technology marked a significant milestone with the grand inauguration of its association, AEVA (Artificial Intelligence and Machine Learning Empowered Visionary Alliance). This prestigious event was graced by the esteemed presence of the college's Principal Dr. R. Gopalakrishnan, the Head of the Department Dr. C. Rajan and the Chief Guests ,Mr.S.Santhosh Kumar and Mr.N.C.Santhosh, an accomplished professionals in the field of technology. Their inspiring addresses set a forward-thinking tone for the department's vision and the association's goals. As part of this memorable occasion, Mr. Balakrishnan.D, Assistant Professor in AIML, was officially appointed as the President of AEVA. He introduced the office bearers, comprising a dynamic team of students and faculty members committed to advancing the association's objectives. The inauguration also celebrated the remarkable achievements of the department, showcasing the collective efforts of faculty and students. Special recognition was given to the catalyst Team, whose innovative contributions were pivotal in ensuring the event's success.
