Sri Eshwar Engineering College

TNEACODE

2739

Campus tour
Admissions

TNEACODE

2739

TNEACODE

2739

Campus tour
Admission 2025

TNEACODE

2739

COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING)

0 LPA

HIGHEST SALARY PACKAGE

0 +

RECRUITERS

0 +

PUBLICATIONS

0 +

PATENTS

PROGRAMME SCOPE

Shape the future with intelligent machines. Fuse your CS foundation with AI & ML. Design, build, and deploy game-changing systems in CSE-AI & ML.

Dive deep into Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI and Reinforcement learning – the AI & ML algorithms that unlock the secrets hidden within data.

AI & ML are pushing the boundaries of intelligence. Young engineers with a data interest can join the mission to shape tomorrow’s intelligent systems.

LEARNING SCOPE

Students will understand how to gain insights through intellectual curiosity by learning diverse technologies, including the OOPS Concept, Data Structures, DBMS, Operating Systems, Networks, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Generative AI.

CAREER PROGRESSION

AI and ML revolution is sweeping across industries, igniting a surge of thrilling career prospects for students. Imagine leveraging your skills in healthcare, finance, astronomy, business, social media, and the internet of things—all while wielding the power of AI and ML! From data scientists deciphering hidden patterns to software developers building the future, these exciting roles will put you at the forefront of innovation.

VISION

To become a model hub for Computer Science and Engineering-Artificial Intelligence and Machine Learning education and research by acquiring, disseminating, and generating knowledge in order to meet societal demands.

MISSION

Evolve curriculum and delivery approaches to provide broad and wide exposure to the learner to gain adequate knowledge in their field of study.

Provide opportunities for faculties to enhance their domain knowledge and skills required for the programs offered.

Establish connections with local, national and global experts to share, utilize and exchange domain expertise.

Conduct Outreach activities for the society that involve the use of artificial intelligence and machine learning solutions to deal with societal issues.

Create and provide a conducive ecosystem and facilities for offering education related to artificial intelligence and machine learning.

PROGRAMME DETAILS

  • PEO1: Graduates will have successful careers in AI and ML-related fields, including positions such as data scientists, machine learning engineers, AI researchers, and consultants.
  • PEO2: Graduates will recognize the dynamic nature of AI and ML technologies and engage in continuous learning to stay abreast of the latest advancements, tools, and techniques in the field.
  • PEO3: Graduates will have the knowledge and skills to identify opportunities for applying AI and ML in various domains, potentially founding startups, or contributing to the growth and competitiveness of existing organizations.
  • PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop 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.
  • 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 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 Teamwork: 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.
  • PSO1:Apply the knowledge of mathematical concepts, programming fundamentals and algorithms for solving complex problems in AI and ML domains.
  • PSO2:Design, implement, and evaluate end-to-end AI solutions, including data acquisition, preprocessing, model development, deployment, and monitoring, adhering to best practices in software engineering and system design.

AIML-2023

AIML-2019(Revised)

AIML-2019

2024-2025
2023-2024
2024-2025
2023-2024
2022-2023

Corporate ADVISORY BOARD

Naming a few of our advisories working in top companies, who help us align our courses and curriculum to what the industry needs. Through ongoing knowledge sharing, guidance and expert advice, they play an important role in shaping our students to become industry-ready professionals.

Mr.Subrahmanian Kumaraswamy

Data Architect, NTT Data

Mr.Bagavath. P

Technical Lead, BNY Mellon Technology

Mr.A.Ravi Kasthuri

CTO, Presentation.AI

Mr.Karthick Shanmugasundaram

Senior Software Developer, GUSTO, USA

Ms.Aishwarya Sterling James

Senior Executive, Mad Street Den, Vue.ai

ENHANCED LEARNING

LABS

  • Programming Languages Laboratory
  • Full Stack Development Laboratory
  • Artificial Intelligence Laboratory
  • Machine Learning & Deep Learning Laboratory
  • Data Analytics Laboratory
  • Data Visualization & Exploration Laboratory
  • Computer Vision, Text and Video Analytics Laboratory
KNOW MORE
LIST OF SOFTWARE

COES

VALUE ADDED COURSES

  • Mastering LLM using Knime 
  • Mastering in OpenCV 
  • PowerBI Analytics
  • Quantum ML Computing using Amazon Brackt
  • GPT Development using Amazon Textract

INNOVATIVE TEACHING

  • Project based Learning using Github Copilot
  • Self Learning using OpenAI
  • Statistical Analysis using Desmos Calculator
  • Experential Learning through Python Frameworks
  • Model building using Cognii

Head of the department

Dr.S.Sumathi

Associate Professor and HOD

Know more

FACULTY MEMBERS

Dr.V.Karunakaran

Associate Professor

Dr.Brindha Senthil Kumar

Assistant Professor

Dr.N.Varatharajan

Assistant Professor

Mr.K.Kathiresan

Assistant Professor

Ms.P.Preethi

Assistant Professor

Ms.S.Sindhuja

Assistant Professor

Ms.T.Kalaivani

Assistant Professor

Ms.P.Charanya

Assistant Professor

Ms.G.Sharmila

Assistant Professor

Ms.G.Sandhya

Assistant Professor

Ms.A.Suganya

Assistant Professor

Mr.R.Vikkram

Assistant Professor

Ms.A.Praveena

Assistant Professor

Mr.M.Gowrisanker

Assistant Professor

STUDENT ACHIEVEMENTS

KNOW MORE

RESEARCH

Sri Eshwar encourages faculty members to seek support and secure research funds from various funding agencies such as DST, AICTE, TNSCCT, MHRD, CSIR, DRDO, ISTE, and industry partners to develop research facilities and carry out research projects. The Institute also supports this initiative by sponsoring seed funds to departments for setting up research laboratories and promoting research.

AU APPROVED
RESEARCH
supervisors


research
facilities



Publications



patents

research
grants &
seed funds


consultancy projects

KNOW MORE

INDUSTRY COLLABORATION

Sri Eshwar encourages members of faculty to seek support and secure research funds from industry and various funding agencies such as DST, AICTE, TNSCCT, MHRD, CSIR, DRDO, ISTE, Industry etc to develop research facility and to carry out research projects. The Institute also supports by sponsoring seed fund to the departments to set up research laboratories and promote research.



mous

industry
visits



internships


coe
activities



projects

KNOW MORE

RECRUITERS

KNOW MORE

CSE (AI&ML) OFFICE

Dr.S.Sumathi
Associate Professor and HOD, CSE(AI&ML)
+914259200449
Email: hodaiml@sece.ac.in

Ms.S.Yuvambika
Dept. Office Secretary, CSE(AI&ML)
+914259200455
Email: aiml_support@sece.ac.in

Dr.V.Karunakaran

B.E., M.E., (Ph.D)

Areas of Specialization

Machine Learning, Deep Learning, Natural Language Processing and Generative AI

Dr. V. Karunakaran has 17+ years of teaching experience. He has published more than 30 research papers in International Journals and International Conferences and his research interests include Deep Learning, Optimization Techniques and Machine Learning. He has delivered over 10 talks on technical topics and conducted hands-on workshops in the domain of Machine Learning, Deep Learning,Natural Language Processing, Hadoop and Spark. He is a reviewer for reputed journals and has guided more than 20 projects in the domain of Image processing, Deep Learning, Natural Language Processing and Machine learning.

Dr.S.Brindha Senthil Kumar

M.Tech, Ph.D.

Areas of Specialization

Areas of Specialization: Machine Learning and Deep Learning

Dr. Brindha Senthil Kumar had completed her Ph.D. in Computer Engineering from Mizoram
University (Central University), specialization in machine learning for health care (especially in cancer genomics). Dr. Brindha Senthil Kumar holds more than 10 years of experience both in industry and academics (India and Overseas). She has been as judge in Hackathon events, resource person for workshops cum hands-on and had delivered talk in national events. She has published paper in Scopus and SCI journals. She is interested to work on human diseases and their causes using Machine learning and Deep learning models.

Dr.N.Varatharajan

B.Tech,M.E,Ph.D

Areas of Specialization

Network Security, WSN

With over 14 years of experience in Teaching and Mentoring students in the academic field, I possess a solid foundation in technical education, enriched by an active portfolio of research and innovation. My primary research interests lie in Network Security and Wireless Sensor Networks. My academic accomplishments include 3 published patents, several Scopus-indexed research articles, a Scopus-indexed book chapter, a published book, and around 15 conference presentations. To stay abreast of emerging technologies, I have pursued numerous certifications through reputed platforms like NPTEL, in domains such as Cloud Computing, Design Thinking, Internet of Things, Design and Analysis of Algorithms, and Database Management Systems.

Mr.K.Kathiresan

B.E., M.Tech., (Ph.D)

Areas of Specialization

Data Analytics, Deep Learning, Computer Vision

Mr. Kathiresan K has 15+ years of teaching experience. His current research is based on Image Processing, Regression Testing, Deep Learning, Computer Vision and Data Analytics. He love to learn and teach data analysis and prediction techniques of Data Science. He has published more than 15 research papers in reputed journals and conferences with 3 patents published. He is also a CISCO Certified Academic Instructor in ITN and RSE level and acted as a resource person to the various institutions for workshops and FDP.

Ms.P.Preethi

M.E.,(Ph.D)

Areas of Specialization

Machine Learning, Deep Learning

Ms.P.Preethi has an M.E. degree with over 11 years of teaching experience and is currently pursuing her research degree at Anna University. She has published 1 SCI Paper,5 Scopus Indexed Conference Papers and Published 3 Patents. She is Certified by the IUCEE Engineering Education Program and by AWS (Data Engineer). Guided around 10 projects in various Domains like Machine Learning, Network security and Cloud computing. Trained in various workshops organized by IIT Bombay and IIT Kharagpur. She is also certified with a Band score of 8/9 in the IELTS examination 2022.

Ms.S.Sindhuja

B. E., M.E., (Ph.D)

Areas of Specialization

Machine Learning, Deep Learning

Ms.S.Sindhuja is currently pursuing her Ph.D degree in the domain of Deep Learning. She has 10+ years and 8 months of experience in teaching. She has published 2 books, 9 Papers and published a patent too.

Ms.T.Kalaivani

M.E.,(Ph.D)

Areas of Specialization

Artificial Intelligence,Machine Learning,Image Processing

Ms. Kalaivani T is currently working as an Assistant Professor in the Department of
Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sri
Eshwar College of Engineering. She holds a B.E. degree in Computer Science and Engineering from Nandha Engineering College, Anna University, Erode, and an M.E. degree in Computer Science and Engineering with a specialization in Software Engineering from Anna University Regional Campus, Coimbatore. She is currently pursuing her research in Coral Reef Resilience at Anna University. With over 8 years of academic experience and 3 years of industry experience as a Technical Trainer and Developer, She is a dedicated educator and passionate technologist. She has imparted company-specific technical training to students, equipping them with specialized skills in Android Development, Java, and Front-End Design through customized training modules. She has also conducted several hands-on workshops in Android application development, fostering practical learning environments. As part of her technical contributions, she has developed and tested four Android applications, with feature enhancements implemented in three of them. She has published 8 research papers and holds 4 patents, including 1 granted patent. She is also the author of a book titled “Mastering Machine Learning”. Her areas of expertise include Object-Oriented Programming using Java, algorithmic problem solving with C and Python, Data Science, and Web Technologies. She is a Wipro Certified Faculty and has been recognized as a mentor for Project-Based Learning (PBL) in .NET Full Stack Development by Wipro Technologies, Hyderabad.She is a lifetime member of IETE (Indian Society for Technical Education) and actively contributes to academic and technical excellence through mentoring and knowledge-sharing.

Ms.Charanya P

B.E., M.E., (Ph.D)

Areas of Specialization

Machine Learning , Networking,Artificial Intelligence

Ms.Charanya P has 5 years of Teaching Experience.Currently pursuing her research degree in Anna University. She has Published 1 Patent.

Ms.G.Sharmila

M.E.,Ph.D

Areas of Specialization

Machine Learning, Java Programming, Data Analytics

With over four years of experience in teaching and mentoring students in the academic field, I bring a strong foundation in technical education, underpinned by an active portfolio of research and innovation. My core research interests include Cloud Computing and Quantum Computing, areas in which I continue to expand my knowledge and contribute through scholarly work. I have published three patents and a Scopus-indexed conference paper, reflecting my commitment to research excellence. To stay updated with emerging technologies, I have completed several certifications from reputed platforms such as NPTEL, covering domains like Cloud Computing, Big Data Analytics, Internet of Things (IoT), Database Management Systems, Java Programming, and Foundations of Cloud, Edge, IoT, and Machine Learning. In addition, I have gained practical industry exposure through training programs at Virtusa (Selenium Testing) and NTT Data (Data Science), further enriching my technical and pedagogical approach.

Ms.G.Sandhya

B.E., M.E., (Ph.D)

Areas of Specialization

Cloud Computing, Internet of Things

Ms. G. Sandhya holds a Master of Engineering (M.E.) degree and brings over 9 years of teaching experience to her academic and professional endeavors. She was a University Rank Holder in her postgraduate program, reflecting her strong academic foundation. She is currently pursuing her Ph.D. in Cloud Computing at Anna University, focusing on advancing research in this critical area of modern technology. Her scholarly contributions include the publication of 1 SCI-indexed journal paper, 2 Scopus-indexed journal papers, and 17 Scopus-indexed conference papers. Additionally, she published 3 patents, reflecting her commitment to innovation and applied research. She was also honoured as the Best Faculty
of the academic year 2022 – 2023 by Sri Krishna College of Technology in recognition of her dedication and excellence in teaching. She has successfully guided around 20 student projects across cutting-edge domains such as the Internet of Things (IoT), Machine Learning, and Deep Learning. Her exceptional mentorship has been evident through active
participation and leadership in prestigious national events including the Smart India Hackathon, MSME Hackathon, and Hack2Future, where she has consistently encouraged and shaped the next generation of tech innovators.

Ms. A. Suganya

M.E.,(Ph.D).

Areas of Specialization

Area of Specialization: IoT, WSN, ML

With over 7 years of dedicated experience in teaching and mentoring students in Academics, I bring a strong academic background complemented by a robust portfolio of research and innovation. I am currently pursuing my Ph.D. with a focus on the Internet of Things (IoT). My academic journey is marked by 7 patents published, several Scopus-indexed research publications, 2 Scopus-indexed book chapters, a published book, and around 20 conference presentations. I also have a UGC-CARE-listed journal publication to my credit. I actively enhance my knowledge through certifications from global platforms such as Coursera and NPTEL, with credentials in areas including cloud computing, computer architecture, operating systems and design thinking. In addition to academic contributions, I have been instrumental in promoting innovation and technical communities. Notably, I inaugurated and deployed the Google Developer Student Club (GDSC), fostering a culture of tech collaboration and peer learning among students.

Mr.R.Vikkram

B.E. CSE., M.E. CSE.

Areas of Specialization

FULL Stack Java , Python , Data Analytics, MERN Stack

I am Vikkram R, an Assistant Professor with over 11 years of academic experience in the
field of Information Technology and Computer Science. Currently pursuing a Ph.D. in
Information and Communication Engineering, I have a strong foundation in Full Stack
Development (Java, MERN Stack), Software Testing (Selenium), and Data Science. I have
delivered hands-on technical training to students, enabling them to gain industry-relevant
skills and practical exposure. I am a Wipro Certified Faculty and have enhanced my expertise through advanced training programs conducted by Virtusa and NTT Data in Software Testing and Data Science, respectively. My research interests include IoT, Deep Learning, Cloud Computing, and AI, with multiple contributions in the form of conference papers, journal publications, patents, and a book chapter. I am committed to fostering an environment that bridges theoretical learning with real-world applications.

Mrs.A.Praveena

B.E(CSE), M.E(CSE), M.B.A(Systems), (Ph.D)

Areas of Specialization

Networks Security, Computer Networks

A.PRAVEENA  is currently working as an Assistant  Professor  in  Department of
Computer  Science  and  Engineering (Artificial Intelligence and Machine Learning), Sri Eshwar College of Engineering, Coimbatore,  Tamil Nadu. She obtained his UG degree in
B.E Computer Science and Engineering from Sona College of Technology, Salem in
2003, M.E Degree in Computer Science and Engineering from Sona College of Technology, Salem in 2005, M.B.A from Madras University, Pursing Ph.D (Submitted Thesis) in the field of Information and Communication Engineering from Anna University Chennai.  I have completed and passed Tamil Nadu State Eligibility Test (TNSET– 2016) – conducted by Mother Terasa Women's University in the year 2016 in Computer Science. She has acted as Jury Member in Smart India Hackathon, 2022. Her research area is focused on Wireless Networks and Artificial Intelligence. Currently, she has 3 International Patents (Granted), 5 Indian patents, 2 Australian Patents and more than 36 research papers indexed in SCOPUS, Web of Science, ACM, IEEE & UGC Care Approved Journals and 16
book chapters. She has received best paper awards in national and International Conferences. She has received “Padma Jyothi Gold Medal Award” for Excellence in respective field on the occasion of 27 th National Seminar on “Individual Achievements & National Development” on 26th January 2018, at Bangalore. She has worked in INFOSYS SABBATICAL PROJECT WORK as part of Campus Connect Programme while working at Sri Ramakrishna Engineering College. The project involves designing of an interface communication card between ECU (Electronic Control Unit) and RTS (Real Time Simulator). She is life member in the professional societies like ISTE, IAENG, MIR Labs etc. She has authored the books titled “Introduction to Artificial Intelligence”, “R Programming Fundamentals” and “Fundamentals of Data Science”. She has Received Grant of Rs 7500/-from Tamilnadu State Council for Science and Technology (TNSCST) for Student Project Scheme for the project titled “Smart- Site: Real Time Construction Project Management
with IoT and AI(Project Code : CSE007) during the Academic Year 2023-2024. She has completed 11 NPTEL Courses, 10 Professional Development Programmes conducted by NITTTR and 12 ATAL FDP Programmes. She has acted as Advisory Committee member in various International Conferences and as reviewer in reputed journals. She has acted as Editor of the Book titled “Contemporary Research in Engineering and Management – CREM 2021”, Manglam Publications Delhi-110053 (India), 202, Chief Editor of the Book titled “ Recent Innovations in Engineering and Management”, Published by Tech Press, First Edition : 2023, ISBN : 978-93-91697-14-3 and Book titled “Multidisciplinary Research in Arts,
Science & Commerce (Volume – 1)”, Published by : The Hill Publication, July 2024, ISBN No : 978-81-
971947-9-5.

Mr.M.Gowrisanker

M.Tech

Areas of Specialization

Image processing , Deep Learning

Mr. M. Gowrisanker is an accomplished educator and technology enthusiast with over 9
years of experience in academia and 2 years in the software industry. His core areas of
expertise include Artificial Intelligence, Data Science, Deep Learning, and Image
Processing. With a passion for bridging the gap between theory and real-world application,
he is known for designing engaging and outcome-based learning environments that prepare
students for both research and industry. He holds multiple industry-recognized
certifications from reputed platforms including Infosys Springboard, Cisco Networking
Academy, Coursera, and NITTTR Chennai, reflecting his strong commitment to
continuous learning and academic excellence. His dedication to shaping future-ready
professionals is evident through his consistent contributions to curriculum innovation, skill
development initiatives, and student-centered learning environments.
He has contributed to the field of computer science through the publication of four
conference papers, showcasing his commitment to advancing research in emerging
technologies. His efforts in promoting student-led innovation were recognized through a
research grant from the Tamil Nadu State Council for Science and Technology
(TNSCST), awarded in support of academic project development.

Admission Enquiry 2025
Please enable JavaScript in your browser to complete this form.
=